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Author SHA1 Message Date
Brooklyn Nicholson 17df5ea573 feat(desktop): agents waterfall — live + historical execution traces
Replace the flat agents list with a zoomable d3 waterfall: a turn strip,
collapsible label tree, time-compressed track (idle gaps collapse), and a
span inspector. Live turns are stitched from the message/tool/subagent
streams into the same TraceDoc shape and fold into the server-exact DB
trace on settle, so following a turn never reframes. Clears the overlay's
traffic-light/titlebar inset at the OverlayView level for every overlay.
2026-06-26 04:48:31 -05:00
Brooklyn Nicholson 0db227a6d8 feat(gateway): expose trace.get and trace.turns RPCs
Resolve a desktop session key to its DB session id and serve the derived
trace (whole session or a single turn) plus per-turn summaries; return an
empty trace for known-but-empty sessions instead of erroring.
2026-06-26 04:36:26 -05:00
Brooklyn Nicholson 49f7a0b456 feat(cli): add hermes trace command to export/show a session trace
Wires `hermes trace <session> [--format otlp|chrome] [-o file]` and a
terminal tree view through the central subcommand registry.
2026-06-26 04:36:26 -05:00
Brooklyn Nicholson 74ab798b49 feat(trace): derive OTel-style execution traces from the session store
Reconstruct per-session and per-turn span trees (AGENT/LLM/TOOL, with
subagents nested under their delegate_task span) straight from SQLite — no
new write path. Turn-scoping splits on real user prompts and folds
synthetic continuations ([ASYNC DELEGATION ...], [IMPORTANT: ...]) into the
turn that spawned them. Exports to OTLP/JSON and Chrome Trace formats.
2026-06-26 04:36:26 -05:00
2699 changed files with 50498 additions and 351936 deletions
+1 -5
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@@ -66,12 +66,8 @@ runtime/
# ---------- Not needed inside the Docker image ----------
# Desktop app source (Tauri/Electron); never installed in the container.
# apps/shared is the dashboard↔desktop websocket helper and is linked from
# web/package.json as a file: workspace dep — keep it in the build context.
# Desktop app source (Tauri/Electron); never installed in the container
apps/
!apps/shared/
!apps/shared/**
# Test suite — not shipped in production images
tests/
-20
View File
@@ -1,13 +1,6 @@
# Hermes Agent Environment Configuration
# Copy this file to .env and fill in your API keys
# =============================================================================
# LLM PROVIDER (Fireworks AI)
# =============================================================================
# Get your key at: https://app.fireworks.ai/settings/users/api-keys
# Address models directly by catalog ID, e.g.
# accounts/fireworks/models/kimi-k2p6, accounts/fireworks/models/glm-5p2
# FIREWORKS_API_KEY=
# =============================================================================
# LLM PROVIDER (OpenRouter)
# =============================================================================
@@ -115,10 +108,6 @@
# HF_BASE_URL=https://router.huggingface.co/v1 # Override default base URL
# OPENCODE_GO_BASE_URL=https://opencode.ai/zen/go/v1 # Override default base URL
# DeepInfra — 100+ top open models, pay-per-use.
# Get your key at: https://deepinfra.com/dash/api_keys
# DEEPINFRA_API_KEY=
# =============================================================================
# LLM PROVIDER (Qwen OAuth)
# =============================================================================
@@ -136,15 +125,6 @@
# Optional base URL override:
# XIAOMI_BASE_URL=https://api.xiaomimimo.com/v1
# =============================================================================
# LLM PROVIDER (Upstage Solar)
# =============================================================================
# Upstage provides access to Upstage Solar models.
# Get your key at: https://console.upstage.ai/api-keys
# UPSTAGE_API_KEY=your_key_here
# Optional base URL override:
# UPSTAGE_BASE_URL=https://api.upstage.ai/v1
# =============================================================================
# TOOL API KEYS
# =============================================================================
+2 -2
View File
@@ -1,5 +1,5 @@
watch_file pyproject.toml uv.lock hermes
watch_file pyproject.toml uv.lock
watch_file package-lock.json package.json web/package.json ui-tui/package.json website/package.json apps/shared/package.json apps/desktop/package.json ui-tui/packages/hermes-ink/package.json
watch_file flake.nix flake.lock nix/devShell.nix nix/tui.nix nix/package.nix nix/python.nix nix/hermes-agent.nix nix/desktop.nix
watch_file flake.nix flake.lock nix/devShell.nix nix/tui.nix nix/package.nix nix/python.nix
use flake
+1 -7
View File
@@ -10,7 +10,7 @@ outputs:
description: Run Python tests / ruff / ty / windows-footguns.
value: ${{ steps.classify.outputs.python }}
frontend:
description: Run the TypeScript testing matrix + desktop build.
description: Run the TypeScript typecheck matrix + desktop build.
value: ${{ steps.classify.outputs.frontend }}
docker_meta:
description: Docker setup and meta files have changed.
@@ -24,15 +24,9 @@ outputs:
deps:
description: Check pyproject.toml dependency upper bounds.
value: ${{ steps.classify.outputs.deps }}
npm_lock:
description: Post/update the semantic package-lock.json diff PR comment.
value: ${{ steps.classify.outputs.npm_lock }}
mcp_catalog:
description: Require MCP catalog security review label.
value: ${{ steps.classify.outputs.mcp_catalog }}
ci_review:
description: Require CI-sensitive file review label.
value: ${{ steps.classify.outputs.ci_review }}
runs:
using: composite
@@ -0,0 +1,50 @@
name: Hermes smoke test
description: >
Run the image's built-in entrypoint against `--help` and `dashboard --help`
to catch basic runtime regressions before publishing. Requires the image
to already be loaded into the local Docker daemon under `image`.
Works identically on amd64 and arm64 runners.
inputs:
image:
description: Fully-qualified image tag (e.g. nousresearch/hermes-agent:test)
required: true
runs:
using: composite
steps:
- name: Ensure /tmp/hermes-test is hermes-writable
shell: bash
run: |
# The image runs as the hermes user (UID 10000). GitHub Actions
# creates /tmp/hermes-test root-owned by default, which hermes
# can't write to — chown it to match the in-container UID before
# bind-mounting. Real users doing `docker run -v ~/.hermes:...`
# with their own UID hit the same issue and have their own
# remediations (HERMES_UID env var, or chown locally).
mkdir -p /tmp/hermes-test
sudo chown -R 10000:10000 /tmp/hermes-test
- name: hermes --help
shell: bash
run: |
# Use the image's real ENTRYPOINT (/init + main-wrapper.sh) so
# this exercises the actual production startup path. PR #30136
# review caught that an --entrypoint override here had been
# silently neutered by the s6-overlay migration — stage2-hook
# ignores its CMD args, so the smoke test was a no-op.
docker run --rm \
-v /tmp/hermes-test:/opt/data \
"${{ inputs.image }}" --help
- name: hermes dashboard --help
shell: bash
run: |
# Regression guard for #9153: dashboard was present in source but
# missing from the published image. If this fails, something in
# the Dockerfile is excluding the dashboard subcommand from the
# installed package.
docker run --rm \
-v /tmp/hermes-test:/opt/data \
"${{ inputs.image }}" dashboard --help
+10 -117
View File
@@ -20,7 +20,6 @@ permissions:
pull-requests: write # needed by lint (PR comment) + supply-chain (PR comment)
actions: read # needed by osv-scanner (SARIF upload)
security-events: write # needed by osv-scanner (SARIF upload)
packages: write # needed by docker build
concurrency:
group: ci-${{ github.ref }}
@@ -33,7 +32,6 @@ jobs:
# (all lanes true) so post-merge validation is never weakened.
# ─────────────────────────────────────────────────────────────────────
detect:
name: Detect affected areas
runs-on: ubuntu-latest
outputs:
python: ${{ steps.classify.outputs.python }}
@@ -41,10 +39,8 @@ jobs:
site: ${{ steps.classify.outputs.site }}
scan: ${{ steps.classify.outputs.scan }}
deps: ${{ steps.classify.outputs.deps }}
npm_lock: ${{ steps.classify.outputs.npm_lock }}
docker_meta: ${{ steps.classify.outputs.docker_meta }}
mcp_catalog: ${{ steps.classify.outputs.mcp_catalog }}
ci_review: ${{ steps.classify.outputs.ci_review }}
event_name: ${{ github.event_name }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
@@ -57,72 +53,47 @@ jobs:
# Skipped workflows (if condition is false) don't spin up runners.
# ─────────────────────────────────────────────────────────────────────
tests:
name: Python tests
needs: detect
if: needs.detect.outputs.python == 'true'
uses: ./.github/workflows/tests.yml
with:
slice_count: 8
lint:
name: Python lints
needs: detect
if: needs.detect.outputs.python == 'true' || needs.detect.outputs.ci_review == 'true'
if: needs.detect.outputs.python == 'true'
uses: ./.github/workflows/lint.yml
with:
event_name: ${{ needs.detect.outputs.event_name }}
ci_review: ${{ needs.detect.outputs.ci_review == 'true' }}
js-tests:
name: JS & TS checks
typecheck:
needs: detect
if: needs.detect.outputs.frontend == 'true'
uses: ./.github/workflows/js-tests.yml
uses: ./.github/workflows/typecheck.yml
docs-site:
name: Docs Site
needs: detect
if: needs.detect.outputs.site == 'true'
uses: ./.github/workflows/docs-site-checks.yml
history-check:
name: Deny unrelated histories
needs: detect
if: needs.detect.outputs.event_name == 'pull_request'
uses: ./.github/workflows/history-check.yml
contributor-check:
name: Check contributors
needs: detect
if: needs.detect.outputs.python == 'true'
uses: ./.github/workflows/contributor-check.yml
uv-lockfile:
name: Check uv.lock
needs: detect
uses: ./.github/workflows/uv-lockfile-check.yml
lockfile-diff:
name: package-lock.json diff
needs: detect
if: needs.detect.outputs.event_name == 'pull_request' && needs.detect.outputs.npm_lock == 'true'
uses: ./.github/workflows/lockfile-diff.yml
docker-lint:
name: Lint Docker scripts
needs: detect
if: needs.detect.outputs.docker_meta == 'true'
uses: ./.github/workflows/docker-lint.yml
docker:
name: Build&Test Docker image
needs: detect
if: needs.detect.outputs.python == 'true' || needs.detect.outputs.frontend == 'true' || needs.detect.outputs.docker_meta == 'true'
uses: ./.github/workflows/docker.yml
secrets: inherit
supply-chain:
name: Supply-chain scan
needs: detect
if: needs.detect.outputs.event_name == 'pull_request' && (needs.detect.outputs.scan == 'true' || needs.detect.outputs.deps == 'true' || needs.detect.outputs.mcp_catalog == 'true')
uses: ./.github/workflows/supply-chain-audit.yml
@@ -133,7 +104,7 @@ jobs:
mcp_catalog: ${{ needs.detect.outputs.mcp_catalog == 'true' }}
osv-scanner:
name: OSV scan
needs: detect
uses: ./.github/workflows/osv-scanner.yml
# ─────────────────────────────────────────────────────────────────────
@@ -148,105 +119,27 @@ jobs:
needs:
- tests
- lint
- js-tests
- typecheck
- docs-site
- history-check
- contributor-check
- uv-lockfile
- lockfile-diff
- docker-lint
- supply-chain
- osv-scanner
# we don't require docker to pass rn because it's so slow lol
# - docker
if: always()
runs-on: ubuntu-latest
steps:
- name: Evaluate job results
env:
NEEDS: ${{ toJSON(needs) }}
RESULTS: ${{ toJSON(needs.*.result) }}
run: |
echo "$NEEDS" | python3 -c "
echo "$RESULTS" | python3 -c "
import json, sys
needs = json.load(sys.stdin)
failed = [name for name, info in needs.items() if info['result'] == 'failure']
for name, info in sorted(needs.items()):
result = info['result']
icon = '✅' if result in ('success', 'skipped') else '❌'
print(f'{icon} {name}: {result}')
results = json.load(sys.stdin)
failed = [r for r in results if r == 'failure']
if failed:
print(f'::error::{len(failed)} job(s) failed: {\", \".join(failed)}')
print(f'::error::{len(failed)} job(s) failed')
sys.exit(1)
print('All checks passed (or were skipped)')
"
# ─────────────────────────────────────────────────────────────────────
# CI timing report: collect per-job/step durations from the GitHub API,
# cache them on main (as a baseline), and on PRs generate an HTML diff
# report with a gantt chart + per-step breakdown. The report is uploaded
# as an artifact and a markdown summary is written to $GITHUB_STEP_SUMMARY.
# ─────────────────────────────────────────────────────────────────────
ci-timings:
name: CI timing report
needs: [all-checks-pass, docker]
if: always()
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Restore baseline cache (PR only)
if: github.event_name == 'pull_request'
uses: actions/cache/restore@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5
with:
path: ci-timings-baseline.json
# Prefix-match: exact key will never hit (run_id differs), so
# restore-keys finds the most recent baseline from main.
key: ci-timings-baseline-never-exact
restore-keys: |
ci-timings-baseline-
- name: Collect timings and generate report
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
python3 scripts/ci/timings_report.py \
--baseline ci-timings-baseline.json \
--output ci-timings-report.html \
--json-out ci-timings.json \
--summary-out ci-timings-summary.md
- name: Upload HTML report
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
id: ci-timings-artifact
with:
name: ci-timings-report
path: ci-timings-report.html
retention-days: 14
archive: false
- name: Output summary
env:
REPORT_URL: ${{ steps.ci-timings-artifact.outputs.artifact-url}}
run: |
echo "# CI Timing report" >> "$GITHUB_STEP_SUMMARY"
echo "[View the full interactive report]($REPORT_URL)" >> "$GITHUB_STEP_SUMMARY"
cat ci-timings-summary.md >> "$GITHUB_STEP_SUMMARY"
- name: Save baseline cache (main only)
if: github.event_name == 'push' && github.ref == 'refs/heads/main'
run: |
# Degraded runs (API rate-limited) produce no ci-timings.json —
# skip rather than fail, and never cache an empty baseline.
if [ -f ci-timings.json ]; then
cp ci-timings.json ci-timings-baseline.json
else
echo "No timings JSON this run — skipping baseline update"
fi
- name: Upload baseline to cache (main only)
if: github.event_name == 'push' && github.ref == 'refs/heads/main' && hashFiles('ci-timings-baseline.json') != ''
uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5
with:
path: ci-timings-baseline.json
key: ci-timings-baseline-${{ github.run_id }}
+1 -1
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@@ -2,7 +2,7 @@ name: Docker / shell lint
# Lints the container build inputs: Dockerfile (via hadolint) and any shell
# scripts under docker/ (via shellcheck). These catch the class of regression
# the behavioral docker smoke test can't — unquoted variable
# the behavioral docker-publish smoke test can't — unquoted variable
# expansions, silently-failing RUN commands, etc.
#
# Rules and ignores are documented in .hadolint.yaml at the repo root.
+352
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@@ -0,0 +1,352 @@
name: Docker Build and Publish
on:
push:
branches: [main]
paths:
- '**/*.py'
- 'pyproject.toml'
- 'uv.lock'
- 'Dockerfile'
- 'docker/**'
- '.github/workflows/docker-publish.yml'
- '.github/actions/hermes-smoke-test/**'
# No paths filter — the job must always run so the required check
# reports a status (path-gated workflows leave checks "pending" forever
# when no matching files change, which blocks merge).
pull_request:
release:
types: [published]
permissions:
contents: read
# Needed so the arm64 job can push/pull its registry-backed build cache
# to ghcr.io (cache-to/cache-from type=registry). See the build-arm64
# job for why registry cache replaced the gha cache on that arch.
packages: write
# Concurrency: push/release runs are NEVER cancelled so every merge gets
# its own image. PR runs reuse a PR-scoped group with
# cancel-in-progress: true so rapid pushes to the same PR collapse to the
# latest commit.
concurrency:
group: docker-${{ github.event.pull_request.number || github.ref }}
cancel-in-progress: ${{ github.event_name == 'pull_request' }}
env:
IMAGE_NAME: nousresearch/hermes-agent
jobs:
# ---------------------------------------------------------------------------
# Build amd64 natively. This job also runs the smoke tests (basic --help
# and the dashboard subcommand regression guard from #9153), because amd64
# is the only arch we can `load` into the local daemon on an amd64 runner.
# ---------------------------------------------------------------------------
build-amd64:
# Only run on the upstream repository, not on forks
if: github.repository == 'NousResearch/hermes-agent'
runs-on: ubuntu-latest
timeout-minutes: 45
outputs:
digest: ${{ steps.push.outputs.digest }}
steps:
- name: Checkout code
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
# The image build + smoke test + integration tests run ONLY on
# push-to-main and release — never on PRs. They are the heaviest jobs
# in CI (~15-45 min) and a broken build surfaces on the main push (and
# is gated pre-merge by docker-lint + uv-lockfile-check). Every step
# below is skipped on PRs, so the job still reports green and the
# required check never hangs.
- name: Set up Docker Buildx
if: github.event_name != 'pull_request'
uses: docker/setup-buildx-action@8d2750c68a42422c14e847fe6c8ac0403b4cbd6f # v3
# Build once, load into the local daemon for smoke testing. Cached
# to gha with a per-arch scope; the push step below reuses every
# layer from this build.
- name: Build image (amd64, smoke test)
if: github.event_name != 'pull_request'
uses: docker/build-push-action@bcafcacb16a39f128d818304e6c9c0c18556b85f # v7.1.0
with:
context: .
file: Dockerfile
load: true
platforms: linux/amd64
tags: ${{ env.IMAGE_NAME }}:test
build-args: |
HERMES_GIT_SHA=${{ github.sha }}
cache-from: type=gha,scope=docker-amd64
cache-to: type=gha,mode=max,scope=docker-amd64
- name: Smoke test image
if: github.event_name != 'pull_request'
uses: ./.github/actions/hermes-smoke-test
with:
image: ${{ env.IMAGE_NAME }}:test
# ---------------------------------------------------------------------
# Run the docker-integration test suite against the freshly-built
# image already loaded into the local daemon (`:test`). These tests
# are excluded from the sharded `tests.yml :: test` matrix on purpose
# (see `_SKIP_PARTS` in scripts/run_tests_parallel.py) because each
# shard would otherwise reach the session-scoped ``built_image``
# fixture in ``tests/docker/conftest.py`` and start a 3-7min
# ``docker build`` — guaranteed to
# die in fixture setup.
#
# Piggybacking here avoids a second image build: the smoke test
# already proved the image loads + runs, so the daemon has it under
# `${IMAGE_NAME}:test` and we just point ``HERMES_TEST_IMAGE`` at
# that. The fixture's ``HERMES_TEST_IMAGE`` branch (see
# tests/docker/conftest.py:62-63) short-circuits the rebuild.
#
# Why this job and not a standalone one: the image is 5GB+; passing
# it between jobs via ``docker save``/``upload-artifact`` is slower
# than the build itself. Reusing the existing daemon state is the
# cheapest path to coverage on every PR that touches docker code.
# ---------------------------------------------------------------------
- name: Install uv (for docker tests)
if: github.event_name != 'pull_request'
uses: astral-sh/setup-uv@d4b2f3b6ecc6e67c4457f6d3e41ec42d3d0fcb86 # v5
- name: Set up Python 3.11 (for docker tests)
if: github.event_name != 'pull_request'
run: uv python install 3.11
- name: Install Python dependencies (for docker tests)
if: github.event_name != 'pull_request'
run: |
uv venv .venv --python 3.11
source .venv/bin/activate
# ``dev`` extra pulls in pytest, pytest-asyncio —
# everything tests/docker/ needs. We deliberately avoid ``all``
# here because the docker tests only drive the container via
# subprocess and don't import hermes_agent's optional deps.
uv pip install -e ".[dev]"
- name: Run docker integration tests
if: github.event_name != 'pull_request'
env:
# Skip rebuild; use the image already loaded by the build step.
HERMES_TEST_IMAGE: ${{ env.IMAGE_NAME }}:test
# Match the policy in tests.yml :: test job — no accidental
# real-API calls from inside the harness.
OPENROUTER_API_KEY: ""
OPENAI_API_KEY: ""
NOUS_API_KEY: ""
run: |
source .venv/bin/activate
python -m pytest tests/docker/ -v --tb=short
- name: Log in to Docker Hub
if: github.event_name == 'push' && github.ref == 'refs/heads/main' || github.event_name == 'release'
uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4.1.0
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
# Push amd64 by digest only (no tag). The merge job assembles the
# tagged manifest list. `push-by-digest=true` is docker's recommended
# pattern for multi-runner multi-platform builds.
- name: Push amd64 by digest
id: push
if: github.event_name == 'push' && github.ref == 'refs/heads/main' || github.event_name == 'release'
uses: docker/build-push-action@bcafcacb16a39f128d818304e6c9c0c18556b85f # v7.1.0
with:
context: .
file: Dockerfile
platforms: linux/amd64
labels: |
org.opencontainers.image.revision=${{ github.sha }}
build-args: |
HERMES_GIT_SHA=${{ github.sha }}
outputs: type=image,name=${{ env.IMAGE_NAME }},push-by-digest=true,name-canonical=true,push=true
cache-from: type=gha,scope=docker-amd64
cache-to: type=gha,mode=max,scope=docker-amd64
# Write the digest to a file and upload it as an artifact so the
# merge job can stitch both per-arch digests into a manifest list.
- name: Export digest
if: github.event_name == 'push' && github.ref == 'refs/heads/main' || github.event_name == 'release'
run: |
mkdir -p /tmp/digests
digest="${{ steps.push.outputs.digest }}"
touch "/tmp/digests/${digest#sha256:}"
- name: Upload digest artifact
if: github.event_name == 'push' && github.ref == 'refs/heads/main' || github.event_name == 'release'
uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
with:
name: digest-amd64
path: /tmp/digests/*
if-no-files-found: error
retention-days: 1
# ---------------------------------------------------------------------------
# Build arm64 natively on GitHub's free arm64 runner. This replaces the
# previous QEMU-emulated arm64 build, which was ~5-10x slower and shared
# a cache scope with amd64. Matches the amd64 job's shape: build+load,
# smoke test, then on push/release push by digest.
# ---------------------------------------------------------------------------
build-arm64:
if: github.repository == 'NousResearch/hermes-agent'
runs-on: ubuntu-24.04-arm
timeout-minutes: 45
outputs:
digest: ${{ steps.push.outputs.digest }}
steps:
- name: Checkout code
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
# arm64 build runs only on push-to-main and release (see build-amd64).
- name: Set up Docker Buildx
if: github.event_name != 'pull_request'
uses: docker/setup-buildx-action@8d2750c68a42422c14e847fe6c8ac0403b4cbd6f # v3
# Log in to ghcr.io so the registry-backed build cache below can be
# read (cache-from) on every event and written (cache-to) on
# push/release. Uses the workflow's GITHUB_TOKEN, which is valid for
# the whole job — unlike the gha cache backend's short-lived Azure SAS
# token, which expired mid-build on slow cold-cache arm64 runs and
# crashed the build before the smoke test (the reason the gha cache
# was removed from arm64 PRs in the first place).
- name: Log in to ghcr.io (build cache)
if: github.event_name != 'pull_request'
uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4.1.0
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
# Build once, load into the local daemon for smoke testing, then push
# by digest below. Reads AND writes the registry-backed cache so the
# push reuses layers from this build and the next build starts warm.
#
# Registry cache (type=registry on ghcr.io) is used instead of the gha
# cache that previously broke here: its credential is the job-lifetime
# GITHUB_TOKEN, not a short-lived SAS token, so the cold-build-outlives-
# token failure mode cannot recur.
- name: Build image (arm64, smoke test, cached publish)
if: github.event_name != 'pull_request'
uses: docker/build-push-action@bcafcacb16a39f128d818304e6c9c0c18556b85f # v7.1.0
with:
context: .
file: Dockerfile
load: true
platforms: linux/arm64
tags: ${{ env.IMAGE_NAME }}:test
build-args: |
HERMES_GIT_SHA=${{ github.sha }}
cache-from: type=registry,ref=ghcr.io/nousresearch/hermes-agent:buildcache-arm64
cache-to: type=registry,ref=ghcr.io/nousresearch/hermes-agent:buildcache-arm64,mode=max
- name: Smoke test image
if: github.event_name != 'pull_request'
uses: ./.github/actions/hermes-smoke-test
with:
image: ${{ env.IMAGE_NAME }}:test
- name: Log in to Docker Hub
if: github.event_name == 'push' && github.ref == 'refs/heads/main' || github.event_name == 'release'
uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4.1.0
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Push arm64 by digest
id: push
if: github.event_name == 'push' && github.ref == 'refs/heads/main' || github.event_name == 'release'
uses: docker/build-push-action@bcafcacb16a39f128d818304e6c9c0c18556b85f # v7.1.0
with:
context: .
file: Dockerfile
platforms: linux/arm64
labels: |
org.opencontainers.image.revision=${{ github.sha }}
build-args: |
HERMES_GIT_SHA=${{ github.sha }}
outputs: type=image,name=${{ env.IMAGE_NAME }},push-by-digest=true,name-canonical=true,push=true
cache-from: type=registry,ref=ghcr.io/nousresearch/hermes-agent:buildcache-arm64
cache-to: type=registry,ref=ghcr.io/nousresearch/hermes-agent:buildcache-arm64,mode=max
- name: Export digest
if: github.event_name == 'push' && github.ref == 'refs/heads/main' || github.event_name == 'release'
run: |
mkdir -p /tmp/digests
digest="${{ steps.push.outputs.digest }}"
touch "/tmp/digests/${digest#sha256:}"
- name: Upload digest artifact
if: github.event_name == 'push' && github.ref == 'refs/heads/main' || github.event_name == 'release'
uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
with:
name: digest-arm64
path: /tmp/digests/*
if-no-files-found: error
retention-days: 1
# ---------------------------------------------------------------------------
# Stitch both per-arch digests into a single tagged multi-arch manifest.
# This is a registry-side operation — no building, no layer re-push —
# so it runs in ~30 seconds.
#
# On main pushes: tags both :main and :latest.
# On releases: tags :<release_tag_name>.
# ---------------------------------------------------------------------------
merge:
if: github.repository == 'NousResearch/hermes-agent' && (github.event_name == 'push' && github.ref == 'refs/heads/main' || github.event_name == 'release')
runs-on: ubuntu-latest
needs: [build-amd64, build-arm64]
timeout-minutes: 10
steps:
- name: Download digests
uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
with:
path: /tmp/digests
pattern: digest-*
merge-multiple: true
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@8d2750c68a42422c14e847fe6c8ac0403b4cbd6f # v3
- name: Log in to Docker Hub
uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4.1.0
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Create manifest list and push
working-directory: /tmp/digests
run: |
set -euo pipefail
args=()
for digest_file in *; do
args+=("${IMAGE_NAME}@sha256:${digest_file}")
done
if [ "${{ github.event_name }}" = "release" ]; then
TAG="${{ github.event.release.tag_name }}"
docker buildx imagetools create \
-t "${IMAGE_NAME}:${TAG}" \
"${args[@]}"
else
docker buildx imagetools create \
-t "${IMAGE_NAME}:main" \
-t "${IMAGE_NAME}:latest" \
"${args[@]}"
fi
env:
IMAGE_NAME: ${{ env.IMAGE_NAME }}
- name: Inspect image
run: |
if [ "${{ github.event_name }}" = "release" ]; then
docker buildx imagetools inspect "${IMAGE_NAME}:${{ github.event.release.tag_name }}"
else
docker buildx imagetools inspect "${IMAGE_NAME}:main"
fi
env:
IMAGE_NAME: ${{ env.IMAGE_NAME }}
-210
View File
@@ -1,210 +0,0 @@
name: Docker Build, Test, and Publish
on:
release:
types: [published]
workflow_call:
permissions:
contents: read
# Concurrency: push/release runs are NEVER cancelled so every merge gets
# its own image. PR runs reuse a PR-scoped group with
# cancel-in-progress: true so rapid pushes to the same PR collapse to
# the latest commit.
concurrency:
group: docker-${{ github.event.pull_request.number || github.ref }}
cancel-in-progress: ${{ github.event_name == 'pull_request' }}
env:
IMAGE_NAME: nousresearch/hermes-agent
jobs:
# Build, test, and optionally push the image for each architecture.
build:
if: github.repository == 'NousResearch/hermes-agent'
strategy:
fail-fast: false
matrix:
include:
- arch: amd64
runner: ubuntu-latest
platform: linux/amd64
cache-from: type=gha,scope=docker-amd64
cache-to: type=gha,mode=max,scope=docker-amd64
- arch: arm64
runner: ubuntu-24.04-arm
platform: linux/arm64
cache-from: type=gha,scope=docker-arm64
cache-to: type=gha,mode=max,scope=docker-arm64
runs-on: ${{ matrix.runner }}
timeout-minutes: 45
steps:
- name: Checkout code
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@8d2750c68a42422c14e847fe6c8ac0403b4cbd6f # v3
# Build once, load into the local daemon for testing. Cached
# per-arch; the push step below reuses every layer from this build.
- name: Build image (${{ matrix.arch }})
uses: docker/build-push-action@bcafcacb16a39f128d818304e6c9c0c18556b85f # v7.1.0
with:
context: .
file: Dockerfile
load: true
platforms: ${{ matrix.platform }}
tags: ${{ env.IMAGE_NAME }}:test
build-args: |
HERMES_GIT_SHA=${{ github.sha }}
cache-from: ${{ matrix.cache-from }}
cache-to: ${{ (github.event_name != 'pull_request') && matrix.cache-to || '' }}
- name: Log in to Docker Hub
if: github.event_name == 'push' && github.ref == 'refs/heads/main' || github.event_name == 'release'
uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4.1.0
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
# Push by digest only (no tag). The merge job assembles the
# tagged manifest list. `push-by-digest=true` is docker's recommended
# pattern for multi-runner multi-platform builds.
- name: Push ${{ matrix.arch }} by digest
id: push
if: github.event_name == 'push' && github.ref == 'refs/heads/main' || github.event_name == 'release'
uses: docker/build-push-action@bcafcacb16a39f128d818304e6c9c0c18556b85f # v7.1.0
with:
context: .
file: Dockerfile
platforms: ${{ matrix.platform }}
labels: |
org.opencontainers.image.revision=${{ github.sha }}
build-args: |
HERMES_GIT_SHA=${{ github.sha }}
outputs: type=image,name=${{ env.IMAGE_NAME }},push-by-digest=true,name-canonical=true,push=true
cache-from: ${{ matrix.cache-from }}
cache-to: ${{ matrix.cache-to }}
# Write the digest to a file and upload it as an artifact so the
# merge job can stitch both per-arch digests into a manifest list.
- name: Export digest
if: github.event_name == 'push' && github.ref == 'refs/heads/main' || github.event_name == 'release'
run: |
mkdir -p /tmp/digests
digest="${{ steps.push.outputs.digest }}"
touch "/tmp/digests/${digest#sha256:}"
- name: Upload digest artifact
if: github.event_name == 'push' && github.ref == 'refs/heads/main' || github.event_name == 'release'
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
with:
name: digest-${{ matrix.arch }}
path: /tmp/digests/*
if-no-files-found: error
retention-days: 1
# Run the docker-integration test suite against the freshly-built
# image already loaded into the local daemon (`:test`).
#
# Piggybacking here avoids a second image build: the build step
# already loaded the image into the daemon under
# `${IMAGE_NAME}:test`, so we just point ``HERMES_TEST_IMAGE`` at
# that. The fixture's ``HERMES_TEST_IMAGE`` branch (see
# tests/docker/conftest.py:62-63) short-circuits the rebuild.
#
# Why this job and not a standalone one: the image is 5GB+; passing
# it between jobs via ``docker save``/``upload-artifact`` is slower
# than the build itself. Reusing the existing daemon state is the
# cheapest path to coverage on every PR that touches docker code.
# ---------------------------------------------------------------------
- name: Install uv (for docker tests)
uses: astral-sh/setup-uv@fac544c07dec837d0ccb6301d7b5580bf5edae39 # 8.2.0
- name: Set up Python 3.11 (for docker tests)
run: uv python install 3.11
- name: Install Python dependencies (for docker tests)
run: |
# ``dev`` extra pulls in pytest, pytest-asyncio —
# everything tests/docker/ needs. We deliberately avoid ``all``
# here because the docker tests only drive the container via
# subprocess and don't import hermes_agent's optional deps.
uv sync --locked --python 3.11 --extra dev
- name: Run docker integration tests
env:
# Skip rebuild; use the image already loaded by the build step.
HERMES_TEST_IMAGE: ${{ env.IMAGE_NAME }}:test
# Match the policy in tests.yml :: test job — no accidental
# real-API calls from inside the harness.
OPENROUTER_API_KEY: ""
OPENAI_API_KEY: ""
NOUS_API_KEY: ""
run: |
scripts/run_tests.sh tests/docker/ --file-timeout 600
# ---------------------------------------------------------------------------
# Stitch both per-arch digests into a single tagged multi-arch manifest.
# This is a registry-side operation — no building, no layer re-push —
# so it runs in ~30 seconds.
#
# On main pushes: tags both :main and :latest.
# On releases: tags :<release_tag_name>.
# ---------------------------------------------------------------------------
merge:
if: github.repository == 'NousResearch/hermes-agent' && (github.event_name == 'push' && github.ref == 'refs/heads/main' || github.event_name == 'release')
runs-on: ubuntu-latest
needs: [build]
timeout-minutes: 10
steps:
- name: Download digests
uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
with:
path: /tmp/digests
pattern: digest-*
merge-multiple: true
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@8d2750c68a42422c14e847fe6c8ac0403b4cbd6f # v3
- name: Log in to Docker Hub
uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4.1.0
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Create manifest list and push
working-directory: /tmp/digests
env:
IMAGE_NAME: ${{ env.IMAGE_NAME }}
RELEASE_TAG: ${{ github.event.release.tag_name }}
run: |
set -euo pipefail
args=()
for digest_file in *; do
args+=("${IMAGE_NAME}@sha256:${digest_file}")
done
if [ "${{ github.event_name }}" = "release" ]; then
docker buildx imagetools create \
-t "${IMAGE_NAME}:${RELEASE_TAG}" \
"${args[@]}"
else
docker buildx imagetools create \
-t "${IMAGE_NAME}:main" \
-t "${IMAGE_NAME}:latest" \
"${args[@]}"
fi
- name: Inspect image
env:
IMAGE_NAME: ${{ env.IMAGE_NAME }}
RELEASE_TAG: ${{ github.event.release.tag_name }}
run: |
if [ "${{ github.event_name }}" = "release" ]; then
docker buildx imagetools inspect "${IMAGE_NAME}:${RELEASE_TAG}"
else
docker buildx imagetools inspect "${IMAGE_NAME}:main"
fi
-251
View File
@@ -1,251 +0,0 @@
name: auto-fix lint issues & formatting
# On push to main (or manual trigger), run `npm run fix` on each workspace
# package and apply any changes via a PR.
#
# Fixable lint issues (import sorting, unused imports, curly braces, etc.) are
# auto-corrected on merge so PRs aren't blocked by them. The PR-time eslint
# check in typecheck.yml fails only when un-fixable errors remain.
#
# NOTE: AUTOFIX_BOT_PAT pushes DO trigger further workflow runs (unlike
# secrets.GITHUB_TOKEN). The concurrency group (ts-autofix-${{ github.ref }})
# with cancel-in-progress: true prevents an infinite loop — a re-triggered
# run cancels the in-flight one, and since the second run finds no new fixes
# (the first run already applied them), it exits with an empty patch.
#
# ── Security model: two-job split ───────────────────────────────────────────
#
# The eslint process executes repo code (eslint.config.mjs, package.json
# scripts, installed plugins). To prevent a malicious PR from getting arbitrary
# code execution on a runner with push access, the work is split:
#
# 1. generate-patch (unprivileged, contents: read only)
# Checks out, installs deps, runs eslint --fix, produces a .patch artifact.
# Worst case: malicious code runs here on an ephemeral runner with zero
# push permissions.
#
# 2. apply-patch (privileged, contents: write + pull-requests: write)
# Checks out, downloads the patch artifact, applies it, pushes to the
# bot/js-autofix branch, creates/updates a PR, and enables auto-merge.
# This job never runs npm, never installs anything, never executes any
# repo code. The only input it trusts is the patch artifact.
# Skipped entirely when generate-patch reports no fixes (has-fixes != true).
# The PR auto-merges (squash) once CI passes. If CI fails or main moves,
# the PR is auto-closed and the branch deleted — the next run re-applies
# on the current state.
on:
push:
branches: [main]
paths:
- '**/*.js'
- '**/*.cjs'
- '**/*.mjs'
- '**/*.ts'
- '**/*.tsx'
- 'package.json'
- 'package-lock.json'
workflow_dispatch:
permissions:
contents: read # default; apply-patch job overrides to write
concurrency:
group: ts-autofix-${{ github.ref }}
cancel-in-progress: true
jobs:
generate-patch:
name: Generate eslint --fix patch
runs-on: ubuntu-latest
timeout-minutes: 5
outputs:
has-fixes: ${{ steps.produce-patch.outputs.has-fixes }}
# No permissions override → inherits workflow-level contents: read.
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
with:
node-version: 22
cache: npm
# --ignore-scripts: eslint only needs TS sources + eslint packages.
- uses: ./.github/actions/retry
with:
command: npm ci --ignore-scripts
- name: npm run fix in all workspaces
# continue-on-error: if un-fixable errors exist on main, we still want
# to commit whatever fixes were applied. The PR-time check in
# typecheck.yml is what blocks un-fixable errors from landing.
continue-on-error: true
run: npm run fix
- name: Produce patch
id: produce-patch
run: |
if git diff --quiet; then
echo "No fixes needed."
echo "has-fixes=false" >> "$GITHUB_OUTPUT"
# Empty patch signals "nothing to do" to apply-patch.
: > js-fix.patch
else
git diff > js-fix.patch
echo "has-fixes=true" >> "$GITHUB_OUTPUT"
echo "Patch size: $(wc -c < js-fix.patch) bytes"
# Reject patches that touch anything outside JS/TS/JSON sources.
# `npm run fix` should only ever modify those; anything else means
# eslint/prettier or a plugin went rogue and we refuse to ship it.
BAD=$(git diff --name-only | grep -vE '\.(js|cjs|mjs|ts|tsx|json)$' || true)
if [ -n "$BAD" ]; then
echo "::error::Refusing to upload patch — touches disallowed files:"
echo "$BAD"
exit 1
fi
fi
- name: Upload patch artifact
uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
with:
name: js-fix-patch
path: js-fix.patch
retention-days: 1
include-hidden-files: true
apply-patch:
name: Apply patch
needs: generate-patch
# Skip entirely when generate-patch found no fixes — saves a runner,
# avoids a redundant checkout/download, and keeps the job graph honest.
if: needs.generate-patch.outputs.has-fixes == 'true'
runs-on: ubuntu-latest
timeout-minutes: 15
permissions:
contents: write # needed to push to bot/js-autofix
pull-requests: write # needed for PR creation + auto-merge
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Download patch
uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
with:
name: js-fix-patch
# ${{ runner.temp }} expands in with: params (shell-style $VAR does not).
# download-artifact's path is a *directory* — the artifact's js-fix.patch
# file lands inside it, so $RUNNER_TEMP/js-fix.patch resolves correctly
# in the run step below.
path: ${{ runner.temp }}
- name: Apply patch and push to bot branch
env:
BOT_BRANCH: bot/js-autofix
run: |
set -euo pipefail
# Empty patch = nothing to do.
if [ ! -s "$RUNNER_TEMP/js-fix.patch" ]; then
echo "Patch is empty. No fixes to apply."
exit 0
fi
# Apply the patch produced by the unprivileged job.
git apply --check "$RUNNER_TEMP/js-fix.patch" || {
echo "::error::Patch does not apply cleanly. Branch may have moved."
exit 1
}
git apply "$RUNNER_TEMP/js-fix.patch"
git config user.name "github-actions[bot]"
git config user.email "github-actions[bot]@users.noreply.github.com"
git add -A
git commit -m "fmt(js): \`npm run fix\` on merge"
# Push to the dedicated bot branch. Force-push is safe here:
# bot/js-autofix is a bot-only branch that gets rewritten each run.
# If the branch was deleted after a previous PR merge, this
# recreates it.
git push --force origin HEAD:"$BOT_BRANCH"
- name: Create/update PR and enable auto-merge
env:
GH_TOKEN: ${{ secrets.AUTOFIX_BOT_PAT }}
BOT_BRANCH: bot/js-autofix
run: |
set -euo pipefail
# Create PR if one doesn't exist. If it already exists, the
# force-push above already updated it with the latest fixes.
PR_NUM=$(gh pr list --head "$BOT_BRANCH" --state open --json number --jq '.[0].number' 2>/dev/null || true)
if [ -z "$PR_NUM" ]; then
# gh pr create prints the PR URL. Extract the number from it
# (https://github.com/<org>/<repo>/pull/<number>).
PR_URL=$(gh pr create \
--head "$BOT_BRANCH" --base main \
--title 'fmt(js): `npm run fix` auto-fix' \
--body 'Auto-generated by the `auto-fix lint issues & formatting` workflow. Auto-merges (squash) once CI passes. If CI fails or `main` moves, the PR is auto-closed and the branch deleted — the next run re-applies on the current state.')
PR_NUM=$(echo "$PR_URL" | grep -oE '[0-9]+$')
fi
# Enable auto-merge (squash). If already enabled, this is a no-op.
gh pr merge "$PR_NUM" --auto --squash || true
- name: Wait for merge, auto-close on failure or stale
env:
GH_TOKEN: ${{ secrets.AUTOFIX_BOT_PAT }}
START_SHA: ${{ github.sha }}
run: |
set -euo pipefail
PR_NUM=$(gh pr list --head bot/js-autofix --state open --json number --jq '.[0].number' 2>/dev/null || true)
if [ -z "$PR_NUM" ]; then
echo "No open PR. Nothing to wait for."
exit 0
fi
echo "Waiting for PR #$PR_NUM to merge..."
# Poll every 15s for up to ~10 minutes. Auto-merge will handle the
# PR even if this job times out — the polling is for cleanup only
# (auto-close on CI failure, conflicts, or main moving).
for i in $(seq 1 40); do
sleep 15
STATE=$(gh pr view "$PR_NUM" --json state --jq '.state')
if [ "$STATE" = "MERGED" ] || [ "$STATE" = "CLOSED" ]; then
echo "PR #$PR_NUM is $STATE."
exit 0
fi
# If main moved, the PR may have already merged (which moves
# main) or another commit landed. Re-check state first.
CURRENT_SHA=$(gh api "repos/${{ github.repository }}/branches/main" --jq '.commit.sha')
if [ "$CURRENT_SHA" != "$START_SHA" ]; then
STATE=$(gh pr view "$PR_NUM" --json state --jq '.state')
if [ "$STATE" = "MERGED" ]; then
echo "PR #$PR_NUM merged (main moved to $CURRENT_SHA)."
exit 0
fi
echo "Main moved ($START_SHA → $CURRENT_SHA). Closing stale PR."
gh pr close "$PR_NUM" --delete-branch || true
exit 0
fi
# If CI checks failed, close + delete the branch.
if gh pr checks "$PR_NUM" 2>/dev/null | grep -qi "fail"; then
echo "CI failed on PR #$PR_NUM. Closing + deleting branch."
gh pr close "$PR_NUM" --delete-branch
exit 0
fi
# If PR is conflicted, close + delete the branch.
MERGEABLE=$(gh pr view "$PR_NUM" --json mergeable --jq '.mergeable')
if [ "$MERGEABLE" = "CONFLICTING" ]; then
echo "PR #$PR_NUM is conflicted. Closing + deleting branch."
gh pr close "$PR_NUM" --delete-branch
exit 0
fi
done
echo "Timeout reached. Auto-merge will handle PR #$PR_NUM if CI passes."
-49
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@@ -1,49 +0,0 @@
# .github/workflows/js-tests.yml
name: JS Tests
on:
workflow_call:
jobs:
workspaces:
name: List npm workspaces
runs-on: ubuntu-latest
outputs:
packages: ${{ steps.set-matrix.outputs.packages }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
with:
node-version: 22
cache: npm
- uses: ./.github/actions/retry
with:
command: npm ci --ignore-scripts
- id: set-matrix
run: |
PACKAGES=$(npm query .workspace | jq -c '[.[].location]')
if [ "$PACKAGES" = "[]" ] || [ -z "$PACKAGES" ]; then
echo "::error::Workspace discovery produced an empty package list — refusing to emit a zero-length matrix (would skip all JS/TS checks silently)."
exit 1
fi
echo "packages=$PACKAGES" >> "$GITHUB_OUTPUT"
check:
name: Typecheck & Test
needs: workspaces
runs-on: ubuntu-latest
strategy:
matrix:
package: ${{ fromJson(needs.workspaces.outputs.packages) }}
fail-fast: false # report all failures, not just the first one
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
with:
node-version: 22
cache: npm
- uses: ./.github/actions/retry
with:
command: npm ci
- run: npm run --prefix ${{ matrix.package }} check
- run: npm run --prefix ${{ matrix.package }} fix
+43 -117
View File
@@ -15,10 +15,6 @@ on:
description: The event name from the calling orchestrator (pull_request or push).
type: string
required: true
ci_review:
description: Whether CI-sensitive files (eslint config, workflows, actions) changed and require a review label.
type: boolean
default: false
permissions:
contents: read
@@ -41,7 +37,7 @@ jobs:
fetch-depth: 0 # need full history for merge-base + worktree
- name: Install uv
uses: astral-sh/setup-uv@fac544c07dec837d0ccb6301d7b5580bf5edae39 # 8.2.0
uses: astral-sh/setup-uv@d4b2f3b6ecc6e67c4457f6d3e41ec42d3d0fcb86 # v5
- name: Install ruff + ty
uses: ./.github/actions/retry
@@ -102,8 +98,6 @@ jobs:
echo "base ty: $(wc -c < .lint-reports/base/ty.json) bytes"
- name: Generate diff summary
env:
HEAD_REF: ${{ inputs.event_name == 'pull_request' && github.head_ref || github.ref_name }}
run: |
python scripts/lint_diff.py \
--base-ruff .lint-reports/base/ruff.json \
@@ -111,10 +105,50 @@ jobs:
--base-ty .lint-reports/base/ty.json \
--head-ty .lint-reports/head/ty.json \
--base-ref "${{ steps.base.outputs.ref }}" \
--head-ref "$HEAD_REF" \
--head-ref "${{ inputs.event_name == 'pull_request' && github.head_ref || github.ref_name }}" \
--output .lint-reports/summary.md
cat .lint-reports/summary.md >> "$GITHUB_STEP_SUMMARY"
- name: Upload reports as artifact
uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
with:
name: lint-reports
path: .lint-reports/
retention-days: 14
- name: Post / update PR comment
if: inputs.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name == github.repository
continue-on-error: true
uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7
with:
script: |
const fs = require('fs');
const body = fs.readFileSync('.lint-reports/summary.md', 'utf8');
const marker = '<!-- lint-diff-summary -->';
const fullBody = marker + '\n' + body;
const { data: comments } = await github.rest.issues.listComments({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: context.issue.number,
});
const existing = comments.find(c => c.body && c.body.includes(marker));
if (existing) {
await github.rest.issues.updateComment({
owner: context.repo.owner,
repo: context.repo.repo,
comment_id: existing.id,
body: fullBody,
});
} else {
await github.rest.issues.createComment({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: context.issue.number,
body: fullBody,
});
}
ruff-blocking:
# Enforce the rules in pyproject.toml [tool.ruff.lint.select]. Currently
# PLW1514 (unspecified-encoding) — catches bare ``open()`` /
@@ -130,7 +164,7 @@ jobs:
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Install uv
uses: astral-sh/setup-uv@fac544c07dec837d0ccb6301d7b5580bf5edae39 # 8.2.0
uses: astral-sh/setup-uv@d4b2f3b6ecc6e67c4457f6d3e41ec42d3d0fcb86 # v5
- name: Install ruff
uses: ./.github/actions/retry
@@ -162,111 +196,3 @@ jobs:
- name: Run footgun checker
run: python scripts/check-windows-footguns.py --all
ci-review:
# Require explicit maintainer review when CI-sensitive files change:
# eslint config, workflow YAMLs, or composite actions. These files
# influence what code the js-autofix job executes and pushes to
# main, so a malicious PR could inject arbitrary code via a custom eslint
# rule's `fix` function. The label gate ensures a human reviews before
# merge. Mirrors the mcp-catalog-reviewed pattern in supply-chain-audit.yml.
name: CI-sensitive file review
if: inputs.event_name == 'pull_request' && inputs.ci_review
runs-on: ubuntu-latest
timeout-minutes: 2
steps:
- name: Checkout code
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Require ci-reviewed label
id: label-check
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
set -euo pipefail
PR="${{ github.event.pull_request.number }}"
LABELS=$(gh pr view "$PR" --json labels --jq '.labels[].name' || true)
if echo "$LABELS" | grep -Fxq 'ci-reviewed'; then
echo "reviewed=true" >> "$GITHUB_OUTPUT"
echo "ci-reviewed label present."
exit 0
fi
echo "reviewed=false" >> "$GITHUB_OUTPUT"
# On failure: find the bot's previous comment and edit it, or create
# a new one if none exists. Using an HTML comment marker so we can
# locate it reliably across runs without parsing the body text.
# Skipped on fork PRs — GITHUB_TOKEN is read-only there, so the API
# call would fail. The label gate still holds via the step below.
- name: Post or update review warning
if: steps.label-check.outputs.reviewed != 'true' && github.event.pull_request.head.repo.fork != true
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
set -euo pipefail
PR="${{ github.event.pull_request.number }}"
MARKER="<!-- ci-review-bot -->"
BODY="${MARKER}
## ⚠️ CI-sensitive file review required
This PR changes CI-sensitive files (eslint config, workflow YAMLs,
or composite actions). These files influence what code the
js-autofix job executes and pushes to main.
A maintainer should verify:
- no new eslint rules with custom \`fix\` functions that write outside linted paths,
- no workflow changes that widen permissions or remove guards,
- no composite action changes that alter what gets executed.
After review, add the \`ci-reviewed\` label and re-run this check."
# Find an existing comment with our marker.
COMMENT_ID=$(gh api \
"repos/${{ github.repository }}/issues/${PR}/comments" \
--paginate --jq ".[] | select(.body | contains(\"${MARKER}\")) | .id" \
| head -1 || true)
if [ -n "$COMMENT_ID" ]; then
gh api --method PATCH \
"repos/${{ github.repository }}/issues/comments/${COMMENT_ID}" \
-f body="$BODY"
else
gh pr comment "$PR" --body "$BODY"
fi
# Fail the job when the label is missing — always runs (including
# fork PRs) so the security gate holds even when the comment step
# was skipped above.
- name: Fail on missing label
if: steps.label-check.outputs.reviewed != 'true'
run: |
echo "::error::CI-sensitive changes require the ci-reviewed label."
exit 1
# On success: if a previous warning comment exists, edit it to show
# the review passed so the PR doesn't have a stale ⚠️ sitting around.
# Skipped on fork PRs — no comment was ever posted to update.
- name: Update previous warning to passed
if: steps.label-check.outputs.reviewed == 'true' && github.event.pull_request.head.repo.fork != true
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
set -euo pipefail
PR="${{ github.event.pull_request.number }}"
MARKER="<!-- ci-review-bot -->"
# Find an existing comment with our marker.
COMMENT_ID=$(gh api \
"repos/${{ github.repository }}/issues/${PR}/comments" \
--paginate --jq ".[] | select(.body | contains(\"${MARKER}\")) | .id" \
| head -1 || true)
if [ -n "$COMMENT_ID" ]; then
BODY="${MARKER}
## ✅ CI-sensitive file review passed
The \`ci-reviewed\` label is present on this PR."
gh api --method PATCH \
"repos/${{ github.repository }}/issues/comments/${COMMENT_ID}" \
-f body="$BODY"
fi
-98
View File
@@ -1,98 +0,0 @@
name: Lockfile diff
# Advisory PR comment showing the *semantic* diff of package-lock.json
# changes — which packages were added/removed/updated and their versions.
# The raw textual diff of a lockfile is unreadable (npm reorders entries
# and rewrites integrity hashes), so scripts/ci/lockfile_diff.py parses
# the ``packages`` map at the merge base and at HEAD and set-diffs the
# {install path: version} maps instead.
#
# The comment is upserted: the script embeds a hidden HTML marker and the
# workflow PATCHes the existing comment when one is found, so a PR gets
# exactly one lockfile-diff comment that tracks the latest push instead
# of a stack of stale ones. When a later push reverts all lockfile
# changes, the comment is updated to say so (deleting it would be more
# surprising than telling the reviewer it's resolved).
#
# Never blocking — this is review signal, not enforcement. Exit is 0 even
# when commenting fails (fork PRs get a read-only GITHUB_TOKEN).
on:
workflow_call:
permissions:
contents: read
pull-requests: write # post/update the diff comment
concurrency:
group: lockfile-diff-${{ github.event.pull_request.number || github.ref }}
cancel-in-progress: true
jobs:
diff:
name: package-lock.json semantic diff
runs-on: ubuntu-latest
timeout-minutes: 5
steps:
- name: Checkout code
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
fetch-depth: 0 # need history for the merge base
- name: Generate semantic lockfile diff
id: diff
run: |
set -euo pipefail
# Three-dot semantics by hand: diff from the merge base with the
# target branch to the PR head, so changes that landed on main
# after the branch point don't show up as this PR's doing.
BASE_SHA=$(git merge-base "origin/${{ github.base_ref }}" HEAD)
echo "Merge base: ${BASE_SHA}"
python3 scripts/ci/lockfile_diff.py \
--base "$BASE_SHA" \
--head HEAD \
--output /tmp/lockfile-diff.md
if [ -s /tmp/lockfile-diff.md ]; then
echo "changed=true" >> "$GITHUB_OUTPUT"
cat /tmp/lockfile-diff.md >> "$GITHUB_STEP_SUMMARY"
else
echo "changed=false" >> "$GITHUB_OUTPUT"
fi
- name: Post or update PR comment
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
REPO: ${{ github.repository }}
PR: ${{ github.event.pull_request.number }}
CHANGED: ${{ steps.diff.outputs.changed }}
run: |
set -euo pipefail
MARKER='<!-- hermes-lockfile-diff -->'
# Find our previous comment (paginated — busy PRs exceed one page).
EXISTING=$(gh api --paginate "repos/${REPO}/issues/${PR}/comments" \
--jq ".[] | select(.body | startswith(\"$MARKER\")) | .id" \
| head -1 || true)
if [ "$CHANGED" != "true" ]; then
if [ -n "$EXISTING" ]; then
# A previous push changed the lockfile but the latest one
# doesn't — update the comment rather than leave stale info.
printf '%s\n✅ package-lock.json changes from an earlier push have been reverted — locked versions now match the target branch.\n' "$MARKER" > /tmp/lockfile-diff.md
else
echo "No lockfile changes and no existing comment — nothing to do."
exit 0
fi
fi
if [ -n "$EXISTING" ]; then
echo "Updating existing comment ${EXISTING}"
gh api --method PATCH "repos/${REPO}/issues/comments/${EXISTING}" \
-F body=@/tmp/lockfile-diff.md > /dev/null \
|| echo "::warning::Could not update PR comment (expected for fork PRs — GITHUB_TOKEN is read-only)"
else
echo "Creating new comment"
gh api "repos/${REPO}/issues/${PR}/comments" \
-F body=@/tmp/lockfile-diff.md > /dev/null \
|| echo "::warning::Could not post PR comment (expected for fork PRs — GITHUB_TOKEN is read-only)"
fi
+12 -66
View File
@@ -14,11 +14,7 @@ name: OSV-Scanner
# code patterns in PR diffs) by covering the orthogonal "currently-pinned
# dep became known-vulnerable" case.
#
# Steps below are inlined from Google's officially-recommended reusable
# workflow (google/osv-scanner-action/.github/workflows/osv-scanner-reusable.yml),
# rather than called via `uses:` so we can set a `timeout-minutes` in the
# degenerate case where this job hangs.
# Uses Google's officially-recommended reusable workflow, pinned by SHA.
# Findings land in the repo's Security tab (Code Scanning > OSV-Scanner).
# fail-on-vuln is disabled so the job does not block merges on pre-existing
# vulnerabilities in pinned deps that we may need to patch deliberately.
@@ -28,11 +24,11 @@ on:
schedule:
# Weekly scan against main — catches CVEs published after merge for
# deps that haven't changed since.
- cron: '0 9 * * 1'
- cron: "0 9 * * 1"
workflow_dispatch:
permissions:
# Required to upload SARIF file to CodeQL. See: https://github.com/github/codeql-action/issues/2117
# Required by the reusable workflow to upload SARIF to the Security tab.
actions: read
contents: read
security-events: write
@@ -40,62 +36,12 @@ permissions:
jobs:
scan:
name: Scan lockfiles
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
- name: 'Run scanner'
uses: google/osv-scanner-action/osv-scanner-action@9a498708959aeaef5ef730655706c5a1df1edbc2 # v2.3.8
with:
# Scan explicit lockfiles rather than recursing, so we only look at
# the three sources of truth and skip vendored / test / worktree dirs.
scan-args: |-
--output=results.json
--format=json
--lockfile=uv.lock
--lockfile=package-lock.json
--lockfile=website/package-lock.json
continue-on-error: true
- name: 'Run osv-scanner-reporter'
uses: google/osv-scanner-action/osv-reporter-action@9a498708959aeaef5ef730655706c5a1df1edbc2 # v2.3.8
with:
scan-args: |-
--output=results.sarif
--new=results.json
--gh-annotations=false
--fail-on-vuln=false
# Upload the results as artifacts (optional). Commenting out will disable uploads of run results in SARIF
# format to the repository Actions tab.
- name: 'Upload artifact'
id: 'upload_artifact'
if: ${{ !cancelled() }}
uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7.0.0
with:
name: OSV Scanner SARIF file
path: results.sarif
retention-days: 5
# Upload the results to GitHub's code scanning dashboard.
- name: 'Upload to code-scanning'
if: ${{ !cancelled() }}
uses: github/codeql-action/upload-sarif@cdefb33c0f6224e58673d9004f47f7cb3e328b89 # v4.31.10
with:
sarif_file: results.sarif
- name: 'Print Code Scanning URL'
if: ${{ !cancelled() }}
run: |
echo "View the OSV-Scanner results in the 'Security' tab, using the following link:"
echo "${{ github.server_url }}/${{ github.repository }}/security/code-scanning?query=is%3Aopen+branch%3A${GITHUB_REF_NAME}+tool%3Aosv-scanner"
env:
GITHUB_REF_NAME: ${{ github.ref_name }}
- name: 'Error troubleshooter'
if: ${{ always() && steps.upload_artifact.outcome == 'failure' }}
run: |
echo "::error::Artifact upload failed. This is most likely caused by a error during scanning earlier in the workflow."
exit 1
uses: google/osv-scanner-action/.github/workflows/osv-scanner-reusable.yml@9a498708959aeaef5ef730655706c5a1df1edbc2 # v2.3.8
with:
# Scan explicit lockfiles rather than recursing, so we only look at
# the three sources of truth and skip vendored / test / worktree dirs.
scan-args: |-
--lockfile=uv.lock
--lockfile=package-lock.json
--lockfile=website/package-lock.json
fail-on-vuln: false
+9 -9
View File
@@ -3,17 +3,17 @@ name: Build Skills Index
on:
schedule:
# Run twice daily: 6 AM and 6 PM UTC
- cron: "0 6,18 * * *"
workflow_dispatch: # Manual trigger
- cron: '0 6,18 * * *'
workflow_dispatch: # Manual trigger
push:
branches: [main]
paths:
- "scripts/build_skills_index.py"
- ".github/workflows/skills-index.yml"
- 'scripts/build_skills_index.py'
- '.github/workflows/skills-index.yml'
permissions:
contents: read
actions: write # to trigger deploy-site.yml on schedule
actions: write # to trigger deploy-site.yml on schedule
jobs:
build-index:
@@ -21,11 +21,11 @@ jobs:
if: github.repository == 'NousResearch/hermes-agent'
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
- uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version: "3.11"
python-version: '3.11'
- name: Install dependencies
run: pip install httpx==0.28.1 pyyaml==6.0.2
@@ -36,7 +36,7 @@ jobs:
run: python scripts/build_skills_index.py
- name: Upload index artifact
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
with:
name: skills-index
path: website/static/api/skills-index.json
+36 -38
View File
@@ -2,11 +2,6 @@ name: Tests
on:
workflow_call:
inputs:
slice_count:
description: Number of parallel test slices
type: number
default: 8
permissions:
contents: read
@@ -17,11 +12,13 @@ concurrency:
cancel-in-progress: true
jobs:
generate:
name: "Generate slices"
test:
runs-on: ubuntu-latest
outputs:
matrix: ${{ steps.matrix.outputs.matrix }}
timeout-minutes: 30
strategy:
fail-fast: false
matrix:
slice: [1, 2, 3, 4, 5, 6]
steps:
- name: Checkout code
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
@@ -30,26 +27,13 @@ jobs:
uses: actions/cache/restore@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5
with:
path: test_durations.json
# main always writes a new suffix, but jobs pick the latest one with the same prefix
# quote from https://docs.github.com/en/actions/reference/workflows-and-actions/dependency-caching#cache-hits-and-misses
# If you provide restore-keys, the cache action sequentially searches for any caches that match the list of restore-keys.
# If there are no exact matches, the action searches for partial matches of the restore keys.
# When the action finds a partial match, the most recent cache is restored to the path directory.
key: test-durations
- name: Generate test slices
id: matrix
run: |
MATRIX=$(python3 scripts/run_tests_parallel.py --generate-slices ${{ inputs.slice_count }})
echo "matrix=$MATRIX" >> "$GITHUB_OUTPUT"
test:
name: Run tests slice ${{ matrix.slice.index }}/${{ inputs.slice_count }}
needs: generate
runs-on: ubuntu-latest
timeout-minutes: 30
strategy:
fail-fast: false
matrix: ${{ fromJSON(needs.generate.outputs.matrix) }}
steps:
- name: Checkout code
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Install ripgrep (prebuilt binary)
run: |
set -euo pipefail
@@ -65,7 +49,7 @@ jobs:
rg --version
- name: Install uv
uses: astral-sh/setup-uv@fac544c07dec837d0ccb6301d7b5580bf5edae39 # 8.2.0
uses: astral-sh/setup-uv@d4b2f3b6ecc6e67c4457f6d3e41ec42d3d0fcb86 # v5
with:
# Persist uv's download/wheel cache (~/.cache/uv) across runs.
# Keyed on the dependency manifests, so the cache is reused until
@@ -94,19 +78,33 @@ jobs:
# re-download, keeping the persisted cache small and fast to restore.
run: uv cache prune --ci
- name: Run tests (slice ${{ matrix.slice.index }}/${{ inputs.slice_count }})
# Per-file isolation via scripts/run_tests.sh: each test file runs
# in its own freshly-spawned `python -m pytest <file>` subprocess
- name: Run tests (slice ${{ matrix.slice }}/6)
# Per-file isolation via scripts/run_tests_parallel.py: discovers
# every test_*.py file under tests/ (excluding integration/ + e2e/),
# then runs `python -m pytest <file>` in a freshly-spawned subprocess
# with bounded parallelism. No xdist, no shared workers, no
# module-level state leakage between files.
#
# File list is pre-computed by the generate job (--generate-slices)
# which runs LPT distribution once and passes the file list to each
# matrix job via --files. Previously each job re-discovered files and
# re-ran LPT independently — redundant N times.
# Why per-file (not per-test): per-test spawn cost (~250ms × 17k
# tests = 70min CPU minimum) blew the wall-clock budget. Per-file
# spawn (~250ms × ~850 files = ~3.5min) fits while still giving
# every file a fresh interpreter — the only isolation boundary
# that matters in practice (cross-file leakage was the original
# flake source; intra-file is the test author's responsibility).
#
# Why drop xdist entirely: xdist's persistent workers accumulate
# state across files, which is exactly the leakage we wanted to
# fix. ThreadPoolExecutor + subprocess.run is ~60 lines and does
# the job with cleaner semantics.
#
# Matrix slicing (--slice I/N): files are distributed across 6
# jobs by cached duration (LPT algorithm) so each job gets
# roughly equal wall time. Without a cache, files default to 2s
# estimate and get split roughly evenly by count — still correct,
# just not perfectly balanced.
run: |
source .venv/bin/activate
scripts/run_tests.sh --files '${{ matrix.slice.files }}'
python scripts/run_tests_parallel.py --slice ${{ matrix.slice }}/6
env:
# Ensure tests don't accidentally call real APIs
OPENROUTER_API_KEY: ""
@@ -116,7 +114,7 @@ jobs:
- name: Upload per-slice durations
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: test-durations-slice-${{ matrix.slice.index }}
name: test-durations-slice-${{ matrix.slice }}
path: test_durations.json
retention-days: 1
@@ -175,7 +173,7 @@ jobs:
rg --version
- name: Install uv
uses: astral-sh/setup-uv@fac544c07dec837d0ccb6301d7b5580bf5edae39 # 8.2.0
uses: astral-sh/setup-uv@d4b2f3b6ecc6e67c4457f6d3e41ec42d3d0fcb86 # v5
with:
# Persist uv's download/wheel cache (~/.cache/uv) across runs.
# Keyed on the dependency manifests, so the cache is reused until
+51
View File
@@ -0,0 +1,51 @@
# .github/workflows/typecheck.yml
name: Typecheck
on:
workflow_call:
jobs:
typecheck:
runs-on: ubuntu-latest
strategy:
matrix:
package:
[ui-tui, web, apps/bootstrap-installer, apps/desktop, apps/shared]
fail-fast: false # report all failures, not just the first one
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
with:
node-version: 22
cache: npm
# --ignore-scripts: typecheck only needs the TS sources + type defs, not
# native builds. Skipping install scripts drops node-pty's node-gyp
# header fetch — the transient flake that killed this job pre-`tsc` — and
# is faster. retry covers the remaining registry blips.
-
uses: ./.github/actions/retry
with:
command: npm ci --ignore-scripts
- run: npm run --prefix ${{ matrix.package }} typecheck
# Production build of the desktop renderer. `typecheck` runs `tsc` only,
# which does NOT exercise Vite/Rolldown module resolution — so an
# unresolvable package export (e.g. a transitive @assistant-ui/tap that no
# longer exports "./react-shim") slips past typecheck and only explodes when
# users build apps/desktop from source on install/update. Run the real
# `vite build` here so that class of break fails in CI instead.
desktop-build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
with:
node-version: 22
cache: npm
# Keep install scripts here: the production build may need node-pty's
# native binary. retry handles the transient install-time fetch flakes.
-
uses: ./.github/actions/retry
with:
command: npm ci
- run: npm run --prefix apps/desktop build
+16 -16
View File
@@ -5,11 +5,11 @@ name: Publish to PyPI
on:
push:
tags:
- "v20*" # CalVer tags: v2026.5.15, v2026.5.15.2, etc.
- 'v20*' # CalVer tags: v2026.5.15, v2026.5.15.2, etc.
workflow_dispatch:
inputs:
confirm_tag:
description: "Tag to publish (e.g. v2026.5.15). Must already exist."
description: 'Tag to publish (e.g. v2026.5.15). Must already exist.'
required: true
type: string
@@ -27,7 +27,7 @@ jobs:
name: Build distribution 📦
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
# On workflow_dispatch, check out the confirmed tag.
@@ -43,17 +43,17 @@ jobs:
fi
- name: Set up Python
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version: "3.13"
python-version: '3.13'
- name: Install uv
uses: astral-sh/setup-uv@fac544c07dec837d0ccb6301d7b5580bf5edae39 # 8.2.0
uses: astral-sh/setup-uv@d0cc045d04ccac9d8b7881df0226f9e82c39688e # v6
- name: Set up Node.js
uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4
with:
node-version: "22"
node-version: '22'
- name: Build web dashboard
run: cd web && npm ci && npm run build
@@ -81,7 +81,7 @@ jobs:
run: uv build --sdist --wheel
- name: Upload distribution artifacts
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
with:
name: python-package-distributions
path: dist/
@@ -94,17 +94,17 @@ jobs:
name: pypi
url: https://pypi.org/p/hermes-agent
permissions:
id-token: write # OIDC trusted publishing
id-token: write # OIDC trusted publishing
steps:
- name: Download distribution artifacts
uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
with:
name: python-package-distributions
path: dist/
- name: Publish to PyPI
uses: pypa/gh-action-pypi-publish@cef221092ed1bacb1cc03d23a2d87d1d172e277b # v1.14.0
uses: pypa/gh-action-pypi-publish@cef221092ed1bacb1cc03d23a2d87d1d172e277b # v1.14.0
with:
skip-existing: true
@@ -116,12 +116,12 @@ jobs:
needs: publish
runs-on: ubuntu-latest
permissions:
contents: write # attach assets to the existing release
id-token: write # sigstore signing
contents: write # attach assets to the existing release
id-token: write # sigstore signing
steps:
- name: Download distribution artifacts
uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
with:
name: python-package-distributions
path: dist/
@@ -145,7 +145,7 @@ jobs:
- name: Sign with Sigstore
if: env.skip_sign != 'true'
uses: sigstore/gh-action-sigstore-python@04cffa1d795717b140764e8b640de88853c92acc # v3.3.0
uses: sigstore/gh-action-sigstore-python@04cffa1d795717b140764e8b640de88853c92acc # v3.3.0
with:
inputs: >-
./dist/*.tar.gz
+3 -3
View File
@@ -4,7 +4,7 @@ name: uv.lock check
# that modify pyproject.toml without regenerating uv.lock (or vice versa)
# must not merge, because the Docker build's `uv sync --frozen` step will
# fail on a stale lockfile and we'd rather catch it here than in the
# docker workflow on main.
# docker-publish workflow on main.
#
# ─────────────────────────────────────────────────────────────────────────
# IMPORTANT: this check runs against the MERGED state, not just your branch
@@ -63,7 +63,7 @@ jobs:
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Install uv
uses: astral-sh/setup-uv@fac544c07dec837d0ccb6301d7b5580bf5edae39 # 8.2.0
uses: astral-sh/setup-uv@d4b2f3b6ecc6e67c4457f6d3e41ec42d3d0fcb86 # v5
# `uv lock --check` re-resolves the project from pyproject.toml and
# compares the result to uv.lock, exiting non-zero if they disagree.
@@ -100,7 +100,7 @@ jobs:
This check is blocking because the Docker image build uses
`uv sync --frozen --extra all`, which rejects stale lockfiles
— catching it here avoids a ~15 min failed docker run
— catching it here avoids a ~15 min failed docker-publish run
on `main` post-merge.
EOF
echo "::error title=uv.lock out of sync::Run \`uv lock\` locally and commit the result. If on a PR, sync with main first."
+1 -22
View File
@@ -8,7 +8,6 @@ __pycache__/
.venv
.vscode/
.env
.op.env
.env.local
.env.development.local
.env.test.local
@@ -68,19 +67,8 @@ environments/benchmarks/evals/
hermes_cli/web_dist/
apps/desktop/build/
apps/desktop/dist/
# tsc-emitted artifacts (a stray `tsc -b` compiles into src/, and vite then
# resolves the stale .js OVER the .tsx — never track these)
apps/desktop/src/**/*.js
apps/desktop/src/**/*.js.map
apps/desktop/src/**/*.d.ts
!apps/desktop/src/global.d.ts
!apps/desktop/src/vite-env.d.ts
apps/shared/src/**/*.js
apps/shared/src/**/*.js.map
apps/shared/src/**/*.d.ts
apps/desktop/release/
*.tsbuildinfo
apps/desktop/*.tsbuildinfo
# Web UI assets — synced from @nous-research/ui at build time via
# `npm run sync-assets` (see web/package.json).
@@ -130,9 +118,6 @@ docs/superpowers/*
# treat it as a local edit and autostash it on every run (#38529).
.hermes-bootstrap-complete
# Persistent dev sandbox dir (scripts/dev-sandbox.sh --persistent)
.hermes-sandbox/
# Interrupted-update breadcrumb + recovery lock written next to the shared venv
# by `hermes update` / launch-time self-heal. Runtime state, never a code change
# — ignore so `git status` stays clean and update's autostash skips them.
@@ -152,9 +137,3 @@ RELEASE_v*.md
# Desktop demo-run scratch output (hermes writes demo/*.txt during recorded
# walkthroughs). Throwaway artifacts, never part of the app.
apps/desktop/demo/
# PR infographics are rendered locally and embedded in PR descriptions via the
# image-provider (fal.media) URL — they are NEVER committed to the repo. The
# PR body is the archive. See the hermes-agent-dev skill's
# pr-infographic-workflow reference (storage rule + lapse #8 / #COMMIT-1).
infographic/
-4
View File
@@ -1,4 +0,0 @@
# Lockfiles must never be reformatted — main has a repo rule requiring
# team approval when lockfiles change, so an autofix PR touching one
# would hang waiting for review.
package-lock.json
+61 -116
View File
@@ -123,17 +123,6 @@ conservative at the waist.
without E2E proof, and plugins that touch core files.** Plugins live in their
own directory and work within the ABCs/hooks we provide; if a plugin needs
more, widen the generic plugin surface, don't special-case it in core.
- **Third-party products / other people's projects integrated into the core
tree.** Observability backends, vendor SaaS integrations, analytics dashboards,
and similar "someone else's product" plugins do NOT land under `plugins/` in
this repo. They place an ongoing maintenance burden on us to keep them working
against a fast-moving core, for a backend we don't own. Ship them as a
**standalone plugin repo** users install into `~/.hermes/plugins/` (or via a
pip entry point), and promote them in the Nous Research Discord
(`#plugins-skills-and-skins`). This is a coupling-and-maintenance decision, not
a quality bar — the plugin can be excellent and still be a close. PRs that add
such a directory to the tree are closed with a pointer to publish it as its own
repo.
### Before you call it a bug — verify the premise (and when NOT to close)
@@ -491,18 +480,18 @@ The dashboard embeds the real `hermes --tui` — **not** a rewrite. See `hermes
### Electron Desktop Chat App (`apps/desktop/`)
A **separate** chat surface from both the classic CLI and the dashboard's embedded TUI. It is an Electron + React + nanostore renderer (`@assistant-ui/react`) that talks to a `tui_gateway` backend over JSON-RPC (`requestGateway(method, params)`). The WebSocket/JSON-RPC transport lives in the framework-agnostic `apps/shared` package (`@hermes/shared``JsonRpcGatewayClient` + WS URL helpers), which the web dashboard (`web/`) also consumes; **desktop has no build/runtime dependency on the dashboard frontend** — it spawns a headless `hermes serve` backend server (the same gateway `dashboard` serves, minus the browser UI entirely: `serve` sets `headless_backend=True`, so `cmd_dashboard` skips `_build_web_ui` AND exports `HERMES_SERVE_HEADLESS=1` so `mount_spa()` disables the SPA even if a stray `web_dist/` exists — only the JSON-RPC/WS/API surface is reachable). `dashboard` and `serve` share `cmd_dashboard`/`start_server` but are independent surfaces — neither launches the other. The one exception is a backward-compat *fallback*: `serve` is newer, so the desktop spawn (`electron/backend-command.ts` + `backendSupportsServe()` in `electron/main.ts`) detects whether the resolved runtime registers `serve` and, only when it does not (an older managed install / PATH `hermes` the app hasn't updated yet), rewrites the argv to the legacy `dashboard --no-open`. Without that, a new app against an un-upgraded runtime would crash on an unknown subcommand and brick every mid-upgrade user. It does NOT embed `hermes --tui` — it has its own composer, transcript, and slash-command pipeline. For scoped Desktop architecture, state, resolver, transport, and testing rules, read `apps/desktop/AGENTS.md`.
A **separate** chat surface from both the classic CLI and the dashboard's embedded TUI. It is an Electron + React + nanostore renderer (`@assistant-ui/react`) that talks to a `tui_gateway` backend over JSON-RPC (`requestGateway(method, params)`). It does NOT embed `hermes --tui` — it has its own composer, transcript, and slash-command pipeline. Route desktop bugs to the `hermes-desktop-app-work` skill, not `hermes-dashboard-work`.
**Slash commands in the desktop app are curated client-side, then dispatched to the backend.** The pipeline:
- **Backend already provides everything.** `tui_gateway/server.py` `commands.catalog` (empty-query list) and `complete.slash` (typed-query completions) both include built-in commands, user `quick_commands`, AND skill-derived commands (`scan_skill_commands()` / `get_skill_commands()`). The desktop app does not need a new RPC to see skills.
- **The renderer curates via `apps/desktop/src/lib/desktop-slash-commands.ts`.** This is the load-bearing file. It holds `DESKTOP_COMMAND_SPECS` (the built-ins and their Desktop surfaces) plus `NO_DESKTOP_SURFACE` block-lists for terminal-only / messaging-only / picker-owned / settings-owned / advanced commands that should NOT clutter the desktop popover.
- **The renderer curates via `apps/desktop/src/lib/desktop-slash-commands.ts`.** This is the load-bearing file. It holds `DESKTOP_COMMANDS` (the ~19 built-ins shown in the palette) plus block-lists for terminal-only / messaging-only / picker-owned / settings-owned / advanced commands that should NOT clutter the desktop popover.
- `isDesktopSlashCommand(name)` — gates **execution**. Returns true for built-ins AND for any non-built-in (skill / quick command), so typed extension commands run.
- `isDesktopSlashSuggestion(name)` — gates **discovery/completion**. Used by BOTH completion paths in `app/chat/composer/hooks/use-slash-completions.ts` (empty-query catalog filter + typed-query `complete.slash` filter) and by `filterDesktopCommandsCatalog`.
- `isDesktopSlashExtensionCommand(name)` — true when the command is NOT a known Hermes built-in (i.e. a skill or user quick command). Both suggestion and catalog-filter paths allow extensions through so skill commands surface in the palette. (Added when fixing "skill commands missing from the desktop slash palette" — the curated allow-list was silently dropping every skill/quick command from completions even though they executed fine when typed.)
- **Dispatch** lives in `app/session/hooks/use-prompt-actions/slash.ts` (`runSlash`): built-ins that the desktop owns (`/skin`, `/help`, `/new`, …) are handled locally or via `commands.catalog`; everything else goes to `slash.exec`, falling back to `command.dispatch` (which the gateway resolves into skill / alias / exec directives). A skill command resolves to `{type: "skill", message}` and is submitted as a normal prompt.
- **Dispatch** lives in `app/session/hooks/use-prompt-actions.ts` (`runSlash`): built-ins that the desktop owns (`/skin`, `/help`, `/new`, …) are handled locally or via `commands.catalog`; everything else goes to `slash.exec`, falling back to `command.dispatch` (which the gateway resolves into skill / alias / exec directives). A skill command resolves to `{type: "skill", message}` and is submitted as a normal prompt.
**Rule:** the desktop slash palette's curation is about hiding noise (terminal-only / messaging-only built-ins), NOT about hiding user-activated extensions. Skill commands and `quick_commands` are extensions the backend surfaces — they belong in completions. If you tighten `desktop-slash-commands.ts`, keep `isDesktopSlashExtensionCommand` flowing into both the suggestion and catalog-filter paths. Tests: from `apps/desktop`, run `npx vitest run src/lib/desktop-slash-commands.test.ts` (workspace dependencies are installed at the repo root).
**Rule:** the desktop slash palette's curation is about hiding noise (terminal-only / messaging-only built-ins), NOT about hiding user-activated extensions. Skill commands and `quick_commands` are extensions the backend surfaces — they belong in completions. If you tighten `desktop-slash-commands.ts`, keep `isDesktopSlashExtensionCommand` flowing into both the suggestion and catalog-filter paths. Tests: `apps/desktop/src/lib/desktop-slash-commands.test.ts` (run via the repo-root `vitest`, since `apps/desktop` resolves deps from the root workspace install).
---
@@ -794,24 +783,6 @@ landing in this tree. PRs that add a new directory under
provider as its own repo. Existing in-tree providers stay; bug fixes
to them are welcome.
**No new third-party-product plugins in-tree (policy, June 2026):** the
same rule applies beyond memory providers. Plugins that integrate
someone else's product or project — observability/metrics backends,
vendor SaaS connectors, analytics dashboards, paid-service tie-ins —
must ship as **standalone plugin repos** that users install into
`~/.hermes/plugins/` (or via pip entry points). They register through
the existing plugin discovery path and use the ABCs/hooks/ctx surface
we expose; nothing special is needed in core. The reason is
maintenance load: every product we absorb into the tree becomes our
burden to keep working against a fast-moving core, for a backend we
don't own. Promote standalone plugins in the Nous Research Discord
(`#plugins-skills-and-skins`). PRs that add such a directory under
`plugins/` are closed with a pointer to publish it as its own repo —
this is a coupling decision, not a quality judgment. (The
`observability/`, `kanban/`, `disk-cleanup/`, etc. directories already
in the tree are existing precedent, not an invitation to add more
third-party-product plugins alongside them.)
### Model-provider plugins (`plugins/model-providers/<name>/`)
Every inference backend (openrouter, anthropic, gmi, deepseek, nvidia, …)
@@ -1094,16 +1065,14 @@ kanban task.
- **CLI:** `hermes_cli/kanban.py` wires `hermes kanban` with verbs
`init`, `create`, `list` (alias `ls`), `show`, `assign`, `link`,
`unlink`, `comment`, `attach`, `attachments`, `attach-rm`, `complete`,
`block`, `unblock`, `archive`, `tail`, plus less-commonly-used `watch`,
`stats`, `runs`, `log`, `assignees`, `heartbeat`, `notify-*`,
`dispatch`, `daemon`, `gc`.
`unlink`, `comment`, `complete`, `block`, `unblock`, `archive`,
`tail`, plus less-commonly-used `watch`, `stats`, `runs`, `log`,
`assignees`, `heartbeat`, `notify-*`, `dispatch`, `daemon`, `gc`.
- **Worker/orchestrator toolset:** `tools/kanban_tools.py` exposes
`kanban_show`, `kanban_complete`, `kanban_block`, `kanban_heartbeat`,
`kanban_comment`, `kanban_create`, `kanban_link`, `kanban_attach`,
`kanban_attach_url`, `kanban_attachments`; profiles that explicitly
enable the `kanban` toolset outside a dispatcher-spawned task also get
`kanban_list` and `kanban_unblock` for board routing.
`kanban_comment`, `kanban_create`, `kanban_link`; profiles that
explicitly enable the `kanban` toolset outside a dispatcher-spawned
task also get `kanban_list` and `kanban_unblock` for board routing.
- **Dispatcher:** long-lived loop that (default every 60s) reclaims
stale claims, promotes ready tasks, atomically claims, and spawns
assigned profiles. Runs **inside the gateway** by default via
@@ -1280,7 +1249,6 @@ def profile_env(tmp_path, monkeypatch):
## Testing
### Python
**ALWAYS use `scripts/run_tests.sh`** — do not call `pytest` directly. The script enforces
hermetic environment parity with CI (unset credential vars, TZ=UTC, LANG=C.UTF-8,
`-n auto` xdist workers, in-tree subprocess-isolation plugin). Direct `pytest`
@@ -1292,33 +1260,65 @@ scripts/run_tests.sh # full suite, CI-parity
scripts/run_tests.sh tests/gateway/ # one directory
scripts/run_tests.sh tests/agent/test_foo.py::test_x # one test
scripts/run_tests.sh -v --tb=long # pass-through pytest flags
scripts/run_tests.sh --no-isolate tests/foo/ # disable subprocess isolation (faster, for debugging)
```
#### Subprocess-per-test-file isolation
### Subprocess-per-test isolation
Every test file runs in a freshly-spawned Python subprocess via `run_tests_parallel.py`. This means module-level dicts/sets and
ContextVars from one test file cannot leak into the next.
Every test runs in a freshly-spawned Python subprocess via the in-tree plugin
at `tests/_isolate_plugin.py`. This means module-level dicts/sets and
ContextVars from one test cannot leak into the next — the historic
`_reset_module_state` autouse fixture is gone.
#### Why the wrapper
Implementation notes:
| | Without wrapper | With wrapper |
| ------------------- | ------------------------------------------- | ----------------------------------------- |
| Provider API keys | Whatever is in your env (auto-detects pool) | All env vars except a specific few unset. |
| HOME / `~/.hermes/` | Your real config+auth.json | Temp dir per test |
| Timezone | Local TZ (PDT etc.) | UTC |
| Locale | Whatever is set | C.UTF-8 |
- The plugin uses `multiprocessing.get_context("spawn")`, which works on
Linux, macOS, and Windows alike (POSIX `fork` is not used).
- Per-test overhead is ~0.51.0s (Python startup + pytest collection). xdist
parallelism amortizes this across cores; on a 20-core box the full suite
finishes in roughly the same wall time as before, but flake-free.
- `isolate_timeout` (configured in `pyproject.toml`) caps each test at 30s.
Hangs are killed and surfaced as a failure report.
- Pass `--no-isolate` to disable isolation — useful when debugging a single
test interactively, or when you specifically want to verify state leakage.
- The plugin disables itself in child processes (sentinel envvar
`HERMES_ISOLATE_CHILD=1`), so there's no fork-bomb risk.
### Where to place what tests
### Why the wrapper (and why the old "just call pytest" doesn't work)
The CI change classifier (`scripts/ci/classify_changes.py`) runs specific jobs based on what files changed. A Python test that asserts
about the contents of `package.json`, `package-lock.json`, `.ts`/`.tsx`
source, or any other JS-side artifact will not run on a PR that only touches
those files. This means a regression can go green on a PR and red on `main` (where the
classifier fails open and runs everything).
Five real sources of local-vs-CI drift the script closes:
Any test that reads or asserts about `package.json`,
`package-lock.json`, `tsconfig.json`, `.ts`/`.tsx`/`.js`/`.mjs`/`.cjs`
source files configuration belongs in the JS (vitest) test suite, not in `tests/*.py`.
| | Without wrapper | With wrapper |
|---|---|---|
| Provider API keys | Whatever is in your env (auto-detects pool) | All `*_API_KEY`/`*_TOKEN`/etc. unset |
| HOME / `~/.hermes/` | Your real config+auth.json | Temp dir per test |
| Timezone | Local TZ (PDT etc.) | UTC |
| Locale | Whatever is set | C.UTF-8 |
| xdist workers | `-n auto` = all cores | `-n auto` (safe — subprocess isolation prevents cross-worker flakes) |
`tests/conftest.py` also enforces points 1-4 as an autouse fixture so ANY pytest
invocation (including IDE integrations) gets hermetic behavior — but the wrapper
is belt-and-suspenders.
### Running without the wrapper (only if you must)
If you can't use the wrapper (e.g. inside an IDE that shells pytest directly),
at minimum activate the venv. The isolation plugin loads automatically from
`addopts` in `pyproject.toml`, so you get the same per-test process isolation
either way.
```bash
source .venv/bin/activate # or: source venv/bin/activate
python -m pytest tests/ -q
```
If you need to bypass isolation for fast feedback while debugging:
```bash
python -m pytest tests/agent/test_foo.py -q --no-isolate
```
Always run the full suite before pushing changes.
### Don't write change-detector tests
@@ -1368,58 +1368,3 @@ not the specific names.
Reviewers should reject new change-detector tests; authors should convert
them into invariants before re-requesting review.
### Never read source code in tests
A test that reads a source file's text is testing *the shape of the
source code*, not its behavior. This is a hard antipattern, banned outright.
Any test that reads a .py, .ts, .tsx, etc., file is suspect.
**Why it's actively harmful, not just weak:**
- It passes when the implementation is subtly broken (the regex matches a
call site that exists but is wired wrong) and fails when a correct
refactor changes formatting, variable names, or control flow with
identical runtime behavior. Both directions of failure are wrong.
- It can't be run against a built/bundled/minified artifact, so it silently
stops testing anything the moment code moves, gets renamed, or a
dependency reformats it.
- It actively blocks refactors: reviewers see "keeps a pattern intact" tests
fail during pure structural cleanup with no behavior change, and either
hand-wave the failure (dangerous) or waste time updating regexes that add
nothing (waste).
- It gives false confidence. a green suite full of source-regex tests
looks like coverage but has never once executed the code path it claims
to guard.
**Do not write:**
```ts
const source = fs.readFileSync(path.join(__dirname, 'main.ts'), 'utf8')
test('backend spawn hides the Windows console', () => {
assert.match(source, /spawn\(\s*backend\.command,\s*backend\.args[\s\S]{0,300}hiddenWindowsChildOptions/)
})
```
**Do write — extract the logic into a small pure/DI-testable function and
call it for real:**
```ts
// backend-spawn.ts
export function hiddenWindowsChildOptions(options: SpawnOptionsLike = {}, isWindows = process.platform === 'win32') {
if (!isWindows || 'windowsHide' in options) return options
return { ...options, windowsHide: true }
}
// backend-spawn.test.ts
test('windowsHide defaults to true on Windows, is left alone elsewhere', () => {
assert.equal(hiddenWindowsChildOptions({}, true).windowsHide, true)
assert.equal(hiddenWindowsChildOptions({}, false).windowsHide, undefined)
assert.equal(hiddenWindowsChildOptions({ windowsHide: false }, true).windowsHide, false)
})
```
If the logic lives inline in a god-file (`main.ts`, `cli.py`,
`gateway/run.py`) and extracting it feels disruptive: that's the actual
signal to do the extraction, not to regex around it.
+1 -1
View File
@@ -74,7 +74,7 @@ Esto no es una barra de calidad — es una decisión de acoplamiento y mantenimi
| Requisito | Notas |
|-----------|-------|
| **Git** | Con la extensión `git-lfs` instalada |
| **Python 3.113.13** | uv lo instalará si falta |
| **Python 3.11+** | uv lo instalará si falta |
| **uv** | Gestor de paquetes Python rápido ([instalar](https://docs.astral.sh/uv/)) |
| **Node.js 20+** | Opcional — necesario para herramientas de navegador y puente WhatsApp (coincide con los engines de `package.json` raíz) |
+4 -28
View File
@@ -85,23 +85,6 @@ This isn't a quality bar — it's a coupling-and-maintenance decision. Memory pr
---
## Third-Party Product Integrations: Ship as a Standalone Plugin
The same rule extends to **any plugin that integrates someone else's product or project** — observability/metrics backends, vendor SaaS connectors, analytics dashboards, paid-service tie-ins, and similar third-party integrations. **These do not land in this repo.**
The reason is maintenance load, not quality. Every external product absorbed into the core tree becomes ours to keep working against a fast-moving codebase, for a backend we don't own and can't control. Hermes ships a lot and the core moves quickly; coupling third-party products into it creates an open-ended burden on the maintainers.
Publish these as a **standalone plugin repo** instead:
- Implement the relevant ABC and use the existing plugin discovery path (`~/.hermes/plugins/`, project `.hermes/plugins/`, or a pip entry point) — see [Build a Hermes Plugin](https://hermes-agent.nousresearch.com/docs/guides/build-a-hermes-plugin)
- Register lifecycle hooks (`pre_tool_call`, `post_tool_call`, `pre_llm_call`, `post_llm_call`, `on_session_start`, `on_session_end`), tools (`ctx.register_tool`), and CLI subcommands (`ctx.register_cli_command`) through the surface we already expose — no core changes needed
- If your plugin needs a capability the framework doesn't expose, that's a feature request to **widen the generic plugin surface** (a new hook or `ctx` method) — never special-case your plugin in core
- Promote it in the [Nous Research Discord](https://discord.gg/NousResearch) `#plugins-skills-and-skins` channel so users can find and install it
A well-built third-party-product plugin can clear automated review and still be closed for this reason — it's a placement decision, not a verdict on the code. PRs that add such a directory under `plugins/` will be closed with a pointer to publish it as its own repo.
---
## Development Setup
### Prerequisites
@@ -109,7 +92,7 @@ A well-built third-party-product plugin can clear automated review and still be
| Requirement | Notes |
|-------------|-------|
| **Git** | With the `git-lfs` extension installed |
| **Python 3.113.13** | uv will install it if missing |
| **Python 3.11+** | uv will install it if missing |
| **uv** | Fast Python package manager ([install](https://docs.astral.sh/uv/)) |
| **Node.js 20+** | Optional — needed for browser tools and WhatsApp bridge (matches root `package.json` engines) |
@@ -149,20 +132,13 @@ this way, make sure you run the `hermes` entrypoint from this venv; running the
system `python3 -m hermes_cli.main` can pick up unrelated system Python
packages.
Create the venv **outside** the cloned source tree. A venv that lives inside
the directory the agent operates from can be wiped by a relative-path command
the agent runs against its own checkout (`rm -rf venv`, `uv venv venv`, etc.),
which silently destroys the running runtime mid-session. Keeping it outside the
tree means no relative path from the workspace resolves to it.
```bash
git clone https://github.com/NousResearch/hermes-agent.git
cd hermes-agent
# Create venv with Python 3.11, OUTSIDE the source tree
uv venv ~/.hermes/venvs/hermes-dev --python 3.11
export VIRTUAL_ENV="$HOME/.hermes/venvs/hermes-dev"
export PATH="$VIRTUAL_ENV/bin:$PATH"
# Create venv with Python 3.11
uv venv venv --python 3.11
export VIRTUAL_ENV="$(pwd)/venv"
# Install with all extras (messaging, cron, CLI menus, dev tools)
uv pip install -e ".[all,dev]"
+14 -18
View File
@@ -119,9 +119,6 @@ COPY package.json package-lock.json ./
COPY web/package.json web/
COPY ui-tui/package.json ui-tui/
COPY ui-tui/packages/hermes-ink/ ui-tui/packages/hermes-ink/
# apps/shared/ is copied IN FULL because web/package.json references it as a
# `file:` workspace dependency (same pattern as hermes-ink above).
COPY apps/shared/ apps/shared/
# `npm_config_install_links=false` forces npm to install `file:` deps as
# symlinks instead of copies. This is the default since npm 10+, which is
@@ -187,19 +184,12 @@ RUN uv sync --frozen --no-install-project --extra all --extra messaging --extra
# invalidate the (relatively slow) web + ui-tui build layer.
COPY web/ web/
COPY ui-tui/ ui-tui/
COPY apps/shared/ apps/shared/
RUN cd web && npm run build && \
cd ../ui-tui && npm run build
# ---------- Source code ----------
# .dockerignore excludes node_modules, so the installs above survive.
# --link decouples this layer from parents for cache purposes; --chmod bakes
# the final read-only permissions at copy time so we skip the separate
# `chmod -R` pass that previously walked ~30k files across the venv +
# node_modules + source (21s amd64 / 222s arm64 — #49113). `a+rX,go-w`
# gives the non-root hermes user read + traverse but no write; root retains
# write so the build steps below don't need chmod u+w dances.
COPY --link --chmod=a+rX,go-w . .
COPY . .
# ---------- Permissions ----------
# Link hermes-agent itself (editable). Deps are already installed in the
@@ -207,15 +197,19 @@ COPY --link --chmod=a+rX,go-w . .
# resolution or downloads.
RUN uv pip install --no-cache-dir --no-deps -e "."
# Wire the exec shim and install-method stamp. Files under /opt/hermes are
# already root-owned (COPY, uv sync, npm install all run as root) and
# read-only for the hermes user (go-w from the --chmod above).
# Keep /opt/hermes immutable for the runtime hermes user. Hosted/container
# instances must not be able to self-edit the installed source or venv; user
# data, skills, plugins, config, logs, and dashboard uploads live under
# /opt/data instead. Root can still repair the image during build/boot, but
# supervised Hermes processes drop to the non-root hermes user.
USER root
RUN mkdir -p /opt/hermes/bin && \
cp /opt/hermes/docker/hermes-exec-shim.sh /opt/hermes/bin/hermes && \
chmod 0755 /opt/hermes/bin/hermes && \
printf 'docker\n' > /opt/hermes/.install_method
printf 'docker\n' > /opt/hermes/.install_method && \
chown -R root:root /opt/hermes && \
chmod -R a+rX /opt/hermes && \
chmod -R a-w /opt/hermes
# The ``.install_method`` stamp is baked next to the running code (the install
# tree), NOT into $HERMES_HOME. $HERMES_HOME (/opt/data) is a shared data
# volume that is commonly bind-mounted from the host and even shared with a
@@ -242,11 +236,13 @@ RUN mkdir -p /opt/hermes/bin && \
#
# The arg is optional — local `docker build` without --build-arg simply
# omits the file, and the runtime falls back to live-git lookup. CI
# (.github/workflows/docker.yml) passes ${{ github.sha }} so
# (.github/workflows/docker-publish.yml) passes ${{ github.sha }} so
# every published image has it.
ARG HERMES_GIT_SHA=
RUN if [ -n "${HERMES_GIT_SHA}" ]; then \
printf '%s\n' "${HERMES_GIT_SHA}" > /opt/hermes/.hermes_build_sha; \
chmod u+w /opt/hermes && \
printf '%s\n' "${HERMES_GIT_SHA}" > /opt/hermes/.hermes_build_sha && \
chmod a-w /opt/hermes /opt/hermes/.hermes_build_sha; \
fi
# ---------- s6-overlay service wiring ----------
-2
View File
@@ -7,7 +7,5 @@ graft locales
# built from the sdist (e.g. Homebrew, downstream packagers). package-data
# below covers the wheel; this covers the sdist. See #34034 / #28149.
recursive-include plugins plugin.yaml plugin.yml
# Gateway assets include images plus YAML catalogs such as status_phrases.yaml.
recursive-include gateway/assets *
global-exclude __pycache__
global-exclude *.py[cod]
+3 -8
View File
@@ -18,7 +18,7 @@
**The self-improving AI agent built by [Nous Research](https://nousresearch.com).** It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a deepening model of who you are across sessions. Run it on a $5 VPS, a GPU cluster, or serverless infrastructure that costs nearly nothing when idle. It's not tied to your laptop — talk to it from Telegram while it works on a cloud VM.
Use any model you want — [Nous Portal](https://portal.nousresearch.com), OpenRouter, OpenAI, your own endpoint, and [many others](https://hermes-agent.nousresearch.com/docs/integrations/providers). Switch with `hermes model` — no code changes, no lock-in.
Use any model you want — [Nous Portal](https://portal.nousresearch.com), [OpenRouter](https://openrouter.ai) (200+ models), [NovitaAI](https://novita.ai) (AI-native cloud for Model API, Agent Sandbox, and GPU Cloud), [NVIDIA NIM](https://build.nvidia.com) (Nemotron), [Xiaomi MiMo](https://platform.xiaomimimo.com), [z.ai/GLM](https://z.ai), [Kimi/Moonshot](https://platform.moonshot.ai), [MiniMax](https://www.minimax.io), [Hugging Face](https://huggingface.co), OpenAI, or your own endpoint. Switch with `hermes model` — no code changes, no lock-in.
<table>
<tr><td><b>A real terminal interface</b></td><td>Full TUI with multiline editing, slash-command autocomplete, conversation history, interrupt-and-redirect, and streaming tool output.</td></tr>
@@ -109,7 +109,6 @@ hermes # Interactive CLI — start a conversation
hermes model # Choose your LLM provider and model
hermes tools # Configure which tools are enabled
hermes config set # Set individual config values
hermes config get # Print individual config values
hermes gateway # Start the messaging gateway (Telegram, Discord, etc.)
hermes setup # Run the full setup wizard (configures everything at once)
hermes claw migrate # Migrate from OpenClaw (if coming from OpenClaw)
@@ -233,14 +232,10 @@ scripts/run_tests.sh
Manual clone fallback (for throwaway clones/CI where you intentionally do not
want the managed install layout):
Create the venv outside the cloned source tree — a venv inside the directory
the agent operates from can be wiped by a relative-path command the agent runs
against its own checkout, destroying the running runtime mid-session.
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
uv venv ~/.hermes/venvs/hermes-dev --python 3.11
source ~/.hermes/venvs/hermes-dev/bin/activate
uv venv .venv --python 3.11
source .venv/bin/activate
uv pip install -e ".[all,dev]"
scripts/run_tests.sh
```
+2 -54
View File
@@ -10,7 +10,6 @@ from __future__ import annotations
import asyncio
import json
import logging
import re
import tempfile
from concurrent.futures import TimeoutError as FutureTimeout
from contextvars import ContextVar, Token
@@ -128,64 +127,13 @@ def _proposal_for_patch_replace(arguments: dict[str, Any]) -> EditProposal:
)
def _extract_v4a_patch_paths(patch_body: str) -> list[str]:
paths: list[str] = []
for match in re.finditer(
r'^\*\*\*\s+(?:Update|Add|Delete)\s+File:\s*(.+)$',
patch_body,
re.MULTILINE,
):
path = match.group(1).strip()
if path:
paths.append(path)
for match in re.finditer(
r'^\*\*\*\s+Move\s+File:\s*(.+?)\s*->\s*(.+)$',
patch_body,
re.MULTILINE,
):
src = match.group(1).strip()
dst = match.group(2).strip()
if src:
paths.append(src)
if dst:
paths.append(dst)
return paths
def _proposal_for_patch_v4a(arguments: dict[str, Any]) -> EditProposal:
patch_body = arguments.get("patch")
if not isinstance(patch_body, str) or not patch_body:
raise ValueError("patch content required")
paths = _extract_v4a_patch_paths(patch_body)
if not paths:
raise ValueError("no file paths found in V4A patch")
proposal_path = paths[0] if len(paths) == 1 else ", ".join(paths)
old_text = _read_text_if_exists(paths[0]) if len(paths) == 1 else None
return EditProposal(
tool_name="patch",
path=proposal_path,
old_text=old_text,
# ACP only supports a single diff payload here. Surface the exact V4A
# patch content before execution so patch-mode calls are permissioned
# and denied patches cannot mutate.
new_text=patch_body,
arguments=dict(arguments),
)
def build_edit_proposal(tool_name: str, arguments: dict[str, Any]) -> EditProposal | None:
"""Return an edit proposal for supported file mutation calls."""
if tool_name == "write_file":
return _proposal_for_write_file(arguments)
if tool_name == "patch":
mode = arguments.get("mode", "replace")
if mode == "replace":
return _proposal_for_patch_replace(arguments)
if mode == "patch":
return _proposal_for_patch_v4a(arguments)
if tool_name == "patch" and arguments.get("mode", "replace") == "replace":
return _proposal_for_patch_replace(arguments)
return None
+9 -16
View File
@@ -38,22 +38,19 @@ def _permission_option_supports_kind(kind: str) -> bool:
return True
def _build_permission_options(
*, allow_permanent: bool, smart_denied: bool = False,
) -> list[PermissionOption]:
def _build_permission_options(*, allow_permanent: bool) -> list[PermissionOption]:
"""Return ACP options that match Hermes approval semantics."""
options = [PermissionOption(
option_id="allow_once", kind="allow_once", name="Allow once",
)]
if not smart_denied:
options.append(PermissionOption(
options = [
PermissionOption(option_id="allow_once", kind="allow_once", name="Allow once"),
PermissionOption(
option_id="allow_session",
# ACP has no session-scoped kind, so use the closest persistent
# hint while keeping Hermes semantics in the option id.
kind="allow_always",
name="Allow for session",
))
if allow_permanent and not smart_denied:
),
]
if allow_permanent:
options.append(
PermissionOption(
option_id="allow_always",
@@ -62,7 +59,7 @@ def _build_permission_options(
),
)
options.append(PermissionOption(option_id="deny", kind="reject_once", name="Deny"))
if not smart_denied and _permission_option_supports_kind("reject_always"):
if _permission_option_supports_kind("reject_always"):
options.append(
PermissionOption(
option_id="deny_always",
@@ -132,15 +129,11 @@ def make_approval_callback(
description: str,
*,
allow_permanent: bool = True,
smart_denied: bool = False,
**_: object,
) -> str:
from agent.async_utils import safe_schedule_threadsafe
options = _build_permission_options(
allow_permanent=allow_permanent,
smart_denied=smart_denied,
)
options = _build_permission_options(allow_permanent=allow_permanent)
tool_call = _build_permission_tool_call(command, description)
coro = request_permission_fn(
+15 -48
View File
@@ -74,10 +74,6 @@ from acp_adapter.permissions import make_approval_callback
from acp_adapter.provenance import session_provenance_meta
from acp_adapter.session import SessionManager, SessionState, _expand_acp_enabled_toolsets
from acp_adapter.tools import build_tool_complete, build_tool_start
from tools.approval import (
reset_hermes_interactive_context,
set_hermes_interactive_context,
)
logger = logging.getLogger(__name__)
@@ -1450,23 +1446,20 @@ class HermesACPAgent(acp.Agent):
# Approval callback is per-thread (thread-local, GHSA-qg5c-hvr5-hjgr).
# Set it INSIDE _run_agent so the TLS write happens in the executor
# thread — setting it here would write to the event-loop thread's TLS,
# not the executor's. Interactive routing uses a contextvar in
# tools.approval (set_hermes_interactive_context) rather than
# os.environ["HERMES_INTERACTIVE"], so concurrent executor workers can't
# race on a process-global flag — one session's restore can't drop
# another onto the non-interactive auto-approve path mid-run
# (GHSA-96vc-wcxf-jjff). The contextvar write is isolated by the
# contextvars.copy_context() wrapper around the executor call below.
# not the executor's. Also set HERMES_INTERACTIVE so approval.py
# takes the CLI-interactive path (which calls the registered
# callback via prompt_dangerous_approval) instead of the
# non-interactive auto-approve branch (GHSA-96vc-wcxf-jjff).
# ACP's conn.request_permission maps cleanly to the interactive
# callback shape — not the gateway-queue HERMES_EXEC_ASK path,
# which requires a notify_cb registered in _gateway_notify_cbs.
previous_approval_cb = None
interactive_token = None
previous_interactive = None
edit_approval_token = None
previous_session_id = None
def _run_agent() -> dict:
nonlocal previous_approval_cb, interactive_token, edit_approval_token, previous_session_id
nonlocal previous_approval_cb, previous_interactive, edit_approval_token, previous_session_id
# Bind HERMES_SESSION_KEY for this session so per-session caches
# (e.g. the interactive sudo password cache in tools.terminal_tool)
# scope to the ACP session rather than leaking across sessions
@@ -1498,10 +1491,9 @@ class HermesACPAgent(acp.Agent):
except Exception:
logger.debug("Could not set ACP edit approval requester", exc_info=True)
# Signal to tools.approval that we have an interactive callback
# and the non-interactive auto-approve path must not fire. Uses a
# contextvar (not os.environ) so concurrent executor workers don't
# race on the flag (GHSA-96vc-wcxf-jjff).
interactive_token = set_hermes_interactive_context(True)
# and the non-interactive auto-approve path must not fire.
previous_interactive = os.environ.get("HERMES_INTERACTIVE")
os.environ["HERMES_INTERACTIVE"] = "1"
# Propagate the originating ACP session id to tools that want to
# tag side-effects with it (e.g. ``kanban_create`` stamps it on
# the new task so clients can render a per-session board). Save
@@ -1521,9 +1513,11 @@ class HermesACPAgent(acp.Agent):
logger.exception("Agent error in session %s", session_id)
return {"final_response": f"Error: {e}", "messages": state.history}
finally:
# Restore the interactive contextvar for this context.
if interactive_token is not None:
reset_hermes_interactive_context(interactive_token)
# Restore HERMES_INTERACTIVE.
if previous_interactive is None:
os.environ.pop("HERMES_INTERACTIVE", None)
else:
os.environ["HERMES_INTERACTIVE"] = previous_interactive
# Restore HERMES_SESSION_ID symmetrically.
if previous_session_id is None:
os.environ.pop("HERMES_SESSION_ID", None)
@@ -1617,28 +1611,12 @@ class HermesACPAgent(acp.Agent):
self._send_session_info_update(session_id),
)
# Snapshot the runtime identity; the validator lets the
# background titler skip its LLM call if the session's model
# changed before it fires (#19027).
_title_model = getattr(state.agent, "model", None)
_title_provider = getattr(state.agent, "provider", None)
maybe_auto_title(
self.session_manager._get_db(),
session_id,
user_text,
final_response,
state.history,
main_runtime={
"model": getattr(state.agent, "model", None),
"provider": getattr(state.agent, "provider", None),
"base_url": getattr(state.agent, "base_url", None),
"api_key": getattr(state.agent, "api_key", None),
"api_mode": getattr(state.agent, "api_mode", None),
},
runtime_validator=lambda: (
getattr(state.agent, "model", None) == _title_model
and getattr(state.agent, "provider", None) == _title_provider
),
title_callback=_notify_title_update,
)
except Exception:
@@ -1919,18 +1897,7 @@ class HermesACPAgent(acp.Agent):
def _cmd_reset(self, args: str, state: SessionState) -> str:
state.history.clear()
reset_failed = False
try:
reset_session_state = getattr(state.agent, "reset_session_state", None)
if callable(reset_session_state):
reset_session_state()
except Exception:
reset_failed = True
logger.warning("ACP session state reset failed for %s", state.session_id, exc_info=True)
finally:
self.session_manager.save_session(state.session_id)
if reset_failed:
return "Conversation history cleared. Agent session state reset failed; see logs."
self.session_manager.save_session(state.session_id)
return "Conversation history cleared."
def _cmd_compact(self, args: str, state: SessionState) -> str:
+26 -58
View File
@@ -26,18 +26,31 @@ from typing import Any, Dict, List, Optional
logger = logging.getLogger(__name__)
def _win_path_to_wsl(path: str) -> str | None:
"""Convert a Windows drive path to its WSL /mnt/<drive>/... equivalent."""
match = re.match(r"^([A-Za-z]):[\\/](.*)$", path)
if not match:
return None
drive = match.group(1).lower()
tail = match.group(2).replace("\\", "/")
return f"/mnt/{drive}/{tail}"
def _translate_acp_cwd(cwd: str) -> str:
"""Translate Windows ACP cwd values when Hermes itself is running in WSL.
Windows ACP clients can launch ``hermes acp`` inside WSL while still sending
editor workspaces as Windows drive paths (``E:\\Projects``) or
``\\\\wsl.localhost\\`` UNC paths. Store and execute against the POSIX form so
agents, tools, and persisted ACP sessions all agree on the usable workspace.
Native Linux/macOS keeps the original cwd unchanged.
editor workspaces as Windows drive paths such as ``E:\\Projects``. Store
and execute against the WSL mount path so agents, tools, and persisted ACP
sessions all agree on the usable workspace. Native Linux/macOS keeps the
original cwd unchanged.
"""
from hermes_constants import translate_cwd_for_wsl_backend
from hermes_constants import is_wsl
return translate_cwd_for_wsl_backend(str(cwd))
if not is_wsl():
return cwd
translated = _win_path_to_wsl(str(cwd))
return translated if translated is not None else cwd
def _normalize_cwd_for_compare(cwd: str | None) -> str:
@@ -48,9 +61,7 @@ def _normalize_cwd_for_compare(cwd: str | None) -> str:
# Normalize Windows drive paths into the equivalent WSL mount form so
# ACP history filters match the same workspace across Windows and WSL.
from hermes_constants import windows_path_to_wsl
translated = windows_path_to_wsl(expanded)
translated = _win_path_to_wsl(expanded)
if translated is not None:
expanded = translated
elif re.match(r"^/mnt/[A-Za-z]/", expanded):
@@ -450,47 +461,10 @@ class SessionManager:
except Exception:
logger.debug("Failed to update ACP session metadata", exc_info=True)
# When the agent owns persistence to this same SessionDB it has
# already flushed the live transcript incrementally during
# run_conversation (append_message), and it preserves pre-compaction
# turns non-destructively via archive_and_compact() — keeping them on
# disk as searchable active=0/compacted=1 rows. Calling
# replace_messages() here would then be a redundant double-write that
# DELETEs exactly those archived rows (and, after a compression-driven
# id rotation where agent.session_id no longer equals
# state.session_id, clobbers the ended parent transcript) — silent
# data loss for any ACP conversation long enough to compress.
#
# Only fall back to the destructive atomic replace when the agent is
# NOT persisting itself to this DB (e.g. a test agent factory, or a
# fresh create/fork whose copied history the agent has not flushed
# yet). That path still rolls back on a mid-rewrite failure so the
# previously persisted conversation survives (salvaged from #13675).
agent = state.agent
agent_db = getattr(agent, "_session_db", None)
agent_owns_persistence = (
agent_db is not None
and agent_db is db
and bool(getattr(agent, "_session_db_created", False))
)
if not agent_owns_persistence:
# Even when the current agent doesn't "own" persistence, the
# session on disk may already carry compaction-archived rows —
# e.g. after a model switch or a /restore, both of which mint a
# fresh agent with _session_db_created=False (so the check above
# is False) yet leave the durable archived transcript in place.
# A full-history replace would DELETE those archived rows just
# like the owned-agent case. Guard against it: when archived
# rows exist, replace ONLY the live (active=1) set and leave the
# archived turns untouched; otherwise the destructive replace is
# safe (fresh create/fork with no archived history to lose).
try:
has_archived = db.has_archived_messages(state.session_id)
except Exception:
has_archived = False
db.replace_messages(
state.session_id, state.history, active_only=has_archived
)
# Replace stored messages with current history atomically so a
# mid-rewrite failure rolls back and the previously persisted
# conversation is preserved (salvaged from #13675).
db.replace_messages(state.session_id, state.history)
except Exception:
logger.warning("Failed to persist ACP session %s", state.session_id, exc_info=True)
@@ -534,15 +508,9 @@ class SessionManager:
model = row.get("model") or None
# Load conversation history. repair_alternation: this restore feeds
# LIVE REPLAY — the loaded list becomes the resumed agent's working
# conversation. A durable ``user;user`` violation left in state.db would
# otherwise re-fire the pre-request defensive repair on every request
# for the rest of the session (see hermes_state.get_messages_as_conversation).
# Load conversation history.
try:
history = db.get_messages_as_conversation(
session_id, repair_alternation=True
)
history = db.get_messages_as_conversation(session_id)
except Exception:
logger.warning("Failed to load messages for ACP session %s", session_id, exc_info=True)
history = []
+3 -59
View File
@@ -3,7 +3,6 @@
from __future__ import annotations
import json
import logging
import uuid
from typing import Any, Dict, List, Optional
@@ -15,8 +14,6 @@ from acp.schema import (
ToolKind,
)
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Map hermes tool names -> ACP ToolKind
# ---------------------------------------------------------------------------
@@ -113,12 +110,7 @@ def build_tool_title(tool_name: str, args: Dict[str, Any]) -> str:
if tool_name == "web_extract":
urls = args.get("urls", [])
if urls:
first = urls[0]
if isinstance(first, dict):
first = first.get("url") or first.get("href") or "?"
elif not isinstance(first, str):
first = "?"
return f"extract: {first}" + (f" (+{len(urls)-1})" if len(urls) > 1 else "")
return f"extract: {urls[0]}" + (f" (+{len(urls)-1})" if len(urls) > 1 else "")
return "web extract"
if tool_name == "process":
action = str(args.get("action") or "").strip() or "manage"
@@ -387,24 +379,6 @@ def _format_execute_code_result(result: Optional[str]) -> Optional[str]:
error = str(data.get("error") or "")
exit_code = data.get("exit_code")
parts = [f"Exit code: {exit_code}" if exit_code is not None else "Execution complete"]
if data.get("stdout_truncated"):
total = data.get("stdout_bytes_total")
captured = data.get("stdout_bytes_captured")
omitted = data.get("stdout_bytes_omitted")
if all(isinstance(v, int) for v in (captured, total, omitted)):
parts.extend([
"",
(
"Output truncated: "
f"captured {captured:,} of {total:,} bytes "
f"({omitted:,} omitted)."
),
])
else:
parts.extend(["", "Output truncated."])
warning = str(data.get("warning") or "").strip()
if warning:
parts.extend(["", "Warning:", warning])
if output:
parts.extend(["", "Output:", output])
if error:
@@ -643,7 +617,7 @@ def _format_session_search_result(result: Optional[str]) -> Optional[str]:
return None
mode = data.get("mode") or "search"
query = data.get("query")
lines = ["Recent sessions" if mode == "recent" else "Session search results" + (f" for `{query}`" if query else "")]
lines = ["Recent sessions" if mode == "recent" else f"Session search results" + (f" for `{query}`" if query else "")]
if not results:
lines.append(str(data.get("message") or "No matching sessions found."))
return "\n".join(lines)
@@ -1047,37 +1021,7 @@ def build_tool_start(
*,
edit_diff: Any = None,
) -> ToolCallStart:
"""Create a ToolCallStart event for the given hermes tool invocation.
A malformed tool argument (e.g. a non-string ``command``/``path`` from a
model that ignores the schema) must never abort the ACP tool-call render
``build_tool_start`` runs on the live tool-progress callback and during
session history replay. On any failure in the title/content/location
builders, fall back to a minimal, valid start event. Mirrors
``get_cute_tool_message`` in ``agent/display.py``, wrapped for the same
reason on the CLI side.
"""
try:
return _build_tool_start(
tool_call_id, tool_name, arguments, edit_diff=edit_diff
)
except Exception as exc: # noqa: BLE001 — a tool-call render must never abort the turn
logger.debug("ACP tool-start render failed for %r: %s", tool_name, exc)
safe_name = tool_name if isinstance(tool_name, str) and tool_name else "tool"
return acp.start_tool_call(
tool_call_id, safe_name, kind=get_tool_kind(safe_name),
content=None, locations=[], raw_input=None,
)
def _build_tool_start(
tool_call_id: str,
tool_name: str,
arguments: Dict[str, Any],
*,
edit_diff: Any = None,
) -> ToolCallStart:
"""Build the ToolCallStart event (unguarded; see ``build_tool_start``)."""
"""Create a ToolCallStart event for the given hermes tool invocation."""
kind = get_tool_kind(tool_name)
title = build_tool_title(tool_name, arguments)
locations = extract_locations(arguments)
+2 -2
View File
@@ -1,7 +1,7 @@
{
"id": "hermes-agent",
"name": "Hermes Agent",
"version": "0.18.2",
"version": "0.17.0",
"description": "Self-improving open-source AI agent by Nous Research with ACP editor integration, persistent memory, skills, and rich tool support.",
"repository": "https://github.com/NousResearch/hermes-agent",
"website": "https://hermes-agent.nousresearch.com/docs/user-guide/features/acp",
@@ -9,7 +9,7 @@
"license": "MIT",
"distribution": {
"uvx": {
"package": "hermes-agent[acp]==0.18.2",
"package": "hermes-agent[acp]==0.17.0",
"args": ["hermes-acp"]
}
}
+13 -265
View File
@@ -9,7 +9,7 @@ from typing import TYPE_CHECKING, Any, Optional
import httpx
from agent.anthropic_adapter import _is_oauth_token, resolve_anthropic_token
from hermes_cli.auth import AuthError, _read_codex_tokens, resolve_codex_runtime_credentials
from hermes_cli.auth import _read_codex_tokens, resolve_codex_runtime_credentials
from hermes_cli.runtime_provider import resolve_runtime_provider
if TYPE_CHECKING:
@@ -425,102 +425,31 @@ def build_credits_view(*, markdown: bool = False, timeout: float = 10.0) -> Cred
)
def _codex_backend_urls(base_url: str) -> tuple[str, str, str]:
"""Resolve the Codex backend endpoints (usage, reset-credits list, consume).
Mirrors the Codex CLI's PathStyle split (codex-rs backend-client): base URLs
containing ``/backend-api`` use the ChatGPT ``/wham/...`` paths; everything
else uses ``/api/codex/...``.
"""
def _resolve_codex_usage_url(base_url: str) -> str:
normalized = (base_url or "").strip().rstrip("/")
if not normalized:
normalized = "https://chatgpt.com/backend-api/codex"
if normalized.endswith("/codex"):
normalized = normalized[: -len("/codex")]
prefix = normalized + ("/wham" if "/backend-api" in normalized else "/api/codex")
return (
prefix + "/usage",
prefix + "/rate-limit-reset-credits",
prefix + "/rate-limit-reset-credits/consume",
)
if "/backend-api" in normalized:
return normalized + "/wham/usage"
return normalized + "/api/codex/usage"
def _resolve_codex_usage_url(base_url: str) -> str:
return _codex_backend_urls(base_url)[0]
def _resolve_codex_usage_credentials(
base_url: Optional[str],
api_key: Optional[str],
) -> tuple[str, str, Optional[str]]:
"""Resolve Codex quota credentials from the native runtime path.
Prefer explicit live-agent credentials, then the legacy singleton OAuth
state, then the credential pool. Hermes's native OAuth setup now stores
device-code logins in the pool, so quota diagnostics must not depend only
on the older singleton store.
"""
explicit_key = str(api_key or "").strip()
if explicit_key:
return explicit_key, str(base_url or "").strip(), None
# Tier 2: the native runtime resolver. It ALREADY falls back to the
# credential pool when the singleton is empty (see
# ``resolve_codex_runtime_credentials`` — issue #32992), so in a pool-only
# setup this returns a usable ``source="credential_pool"`` token.
#
# Only ``AuthError`` ("no creds" / rate-limited) is caught so tier 3 can
# run: a broad ``except Exception`` would (a) mask a transient refresh /
# network failure and silently hand back a DIFFERENT pool account's usage,
# and (b) hide genuine programming errors. A refresh/network error must
# propagate — the outer ``fetch_account_usage`` guard fails open (shows
# nothing this turn) rather than reporting the wrong account.
#
# The ``account_id`` (for the ``ChatGPT-Account-Id`` header) is read
# best-effort: a partial/missing singleton token store must not sink an
# otherwise-usable resolver credential and force a header-less pool fallback.
try:
creds = resolve_codex_runtime_credentials(refresh_if_expiring=True)
account_id: Optional[str] = None
try:
token_data = _read_codex_tokens()
tokens = token_data.get("tokens") or {}
account_id = str(tokens.get("account_id", "") or "").strip() or None
except AuthError:
# Pool-only creds carry no singleton account_id; header is optional.
logger.debug("codex ▸ /usage account_id read failed (best-effort)", exc_info=True)
return creds["api_key"], str(creds.get("base_url", "") or "").strip(), account_id
except AuthError:
logger.debug("codex ▸ /usage runtime resolver returned no creds; trying pool", exc_info=True)
# Tier 3: direct pool select. Reached only when the resolver itself raises
# AuthError (e.g. singleton missing AND its own pool read found nothing at
# resolve time, but a pool entry is usable now). Pool credentials have no
# account_id concept, so the ChatGPT-Account-Id header is intentionally
# omitted here.
from agent.credential_pool import load_pool
pool = load_pool("openai-codex")
entry = pool.select()
if entry is None:
raise RuntimeError("No available openai-codex credential in credential pool")
return entry.runtime_api_key, str(entry.runtime_base_url or base_url or "").strip(), None
def _fetch_codex_account_usage(
base_url: Optional[str] = None,
api_key: Optional[str] = None,
) -> Optional[AccountUsageSnapshot]:
token, resolved_base_url, account_id = _resolve_codex_usage_credentials(base_url, api_key)
def _fetch_codex_account_usage() -> Optional[AccountUsageSnapshot]:
creds = resolve_codex_runtime_credentials(refresh_if_expiring=True)
token_data = _read_codex_tokens()
tokens = token_data.get("tokens") or {}
account_id = str(tokens.get("account_id", "") or "").strip() or None
headers = {
"Authorization": f"Bearer {token}",
"Authorization": f"Bearer {creds['api_key']}",
"Accept": "application/json",
"User-Agent": "codex-cli",
}
if account_id:
headers["ChatGPT-Account-Id"] = account_id
with httpx.Client(timeout=15.0) as client:
response = client.get(_resolve_codex_usage_url(resolved_base_url), headers=headers)
response = client.get(_resolve_codex_usage_url(creds.get("base_url", "")), headers=headers)
response.raise_for_status()
payload = response.json() or {}
rate_limit = payload.get("rate_limit") or {}
@@ -538,14 +467,6 @@ def _fetch_codex_account_usage(
)
)
details: list[str] = []
reset_credits = payload.get("rate_limit_reset_credits") or {}
banked = reset_credits.get("available_count")
if isinstance(banked, (int, float)) and int(banked) > 0:
count = int(banked)
plural = "s" if count != 1 else ""
details.append(
f"You have {count} reset{plural} banked - use /usage reset to activate"
)
credits = payload.get("credits") or {}
if credits.get("has_credits"):
balance = credits.get("balance")
@@ -563,179 +484,6 @@ def _fetch_codex_account_usage(
)
@dataclass(frozen=True)
class CodexResetRedeemResult:
"""Outcome of a `/usage reset` attempt against the Codex backend."""
status: str # reset | nothing_to_reset | no_credit | already_redeemed |
# not_exhausted | no_credits_banked | unavailable
message: str
available_count: int = 0
windows_reset: int = 0
@property
def redeemed(self) -> bool:
return self.status == "reset"
# Client-side guard threshold: a rate-limit window only counts as exhausted
# when it is fully used. Below this, redeeming a banked reset wastes most of
# its value, so we block and point at --force instead.
_CODEX_WINDOW_EXHAUSTED_PERCENT = 100.0
def redeem_codex_reset_credit(
*,
base_url: Optional[str] = None,
api_key: Optional[str] = None,
force: bool = False,
) -> CodexResetRedeemResult:
"""Redeem one banked Codex rate-limit reset credit (`/usage reset`).
Flow (mirrors the Codex CLI's reset-credits picker, codex-rs
``backend-client``):
1. ``GET .../usage`` read the current windows + banked credit count.
2. Guard: zero banked credits refuse. No window fully used and not
``force`` refuse with a warning (a banked reset restores the WHOLE
5h + weekly allowance; burning it early wastes it). The backend has
the same protection (``nothing_to_reset`` doesn't consume the
credit), but failing fast client-side gives a clearer message.
3. ``POST .../rate-limit-reset-credits/consume`` with a fresh UUID
idempotency key (``redeem_request_id``). No ``credit_id`` the
backend picks the next available credit, exactly like the CLI's
default "Full reset" option.
Never raises: every failure mode returns a ``CodexResetRedeemResult``
with a user-renderable message.
"""
import uuid
try:
token, resolved_base_url, account_id = _resolve_codex_usage_credentials(base_url, api_key)
except Exception:
return CodexResetRedeemResult(
status="unavailable",
message="No Codex credentials available. Run `hermes auth` to sign in with your ChatGPT account.",
)
usage_url, _credits_url, consume_url = _codex_backend_urls(resolved_base_url)
headers = {
"Authorization": f"Bearer {token}",
"Accept": "application/json",
"User-Agent": "codex-cli",
}
if account_id:
headers["ChatGPT-Account-Id"] = account_id
try:
with httpx.Client(timeout=15.0) as client:
usage_resp = client.get(usage_url, headers=headers)
usage_resp.raise_for_status()
payload = usage_resp.json() or {}
reset_credits = payload.get("rate_limit_reset_credits") or {}
raw_count = reset_credits.get("available_count")
available = int(raw_count) if isinstance(raw_count, (int, float)) else 0
if available <= 0:
return CodexResetRedeemResult(
status="no_credits_banked",
message="No banked reset credits on this account — nothing to redeem.",
)
rate_limit = payload.get("rate_limit") or {}
worst_used: Optional[float] = None
for key in ("primary_window", "secondary_window"):
used = (rate_limit.get(key) or {}).get("used_percent")
if isinstance(used, (int, float)):
worst_used = max(worst_used or 0.0, float(used))
exhausted = worst_used is not None and worst_used >= _CODEX_WINDOW_EXHAUSTED_PERCENT
if not exhausted and not force:
usage_note = (
f"your busiest window is only {worst_used:.0f}% used"
if worst_used is not None
else "your current usage could not be confirmed as exhausted"
)
plural = "s" if available != 1 else ""
return CodexResetRedeemResult(
status="not_exhausted",
message=(
f"⚠️ Not redeeming: {usage_note}. A banked reset restores your FULL "
f"5h + weekly limits, so spending it now would waste most of it. "
f"You have {available} reset{plural} banked. "
f"Use `/usage reset --force` to redeem anyway."
),
available_count=available,
)
consume_resp = client.post(
consume_url,
headers={**headers, "Content-Type": "application/json"},
json={"redeem_request_id": str(uuid.uuid4())},
)
consume_resp.raise_for_status()
body = consume_resp.json() or {}
except httpx.HTTPStatusError as exc:
code = exc.response.status_code
if code in (401, 403):
return CodexResetRedeemResult(
status="unavailable",
message=(
"Codex backend rejected the request (HTTP "
f"{code}). Reset credits require ChatGPT-account (OAuth) auth — "
"run `hermes auth` and sign in with your ChatGPT account."
),
)
return CodexResetRedeemResult(
status="unavailable",
message=f"Codex backend error (HTTP {code}) — try again shortly.",
)
except Exception as exc:
return CodexResetRedeemResult(
status="unavailable",
message=f"Could not reach the Codex backend: {exc}",
)
code = str(body.get("code", "") or "").strip().lower()
windows_reset = body.get("windows_reset")
windows_reset = int(windows_reset) if isinstance(windows_reset, (int, float)) else 0
remaining = max(0, available - 1)
plural = "s" if remaining != 1 else ""
if code == "reset":
return CodexResetRedeemResult(
status="reset",
message=(
f"✅ Reset redeemed — your usage limits have been reset. "
f"{remaining} banked reset{plural} remaining."
),
available_count=remaining,
windows_reset=windows_reset,
)
if code == "nothing_to_reset":
return CodexResetRedeemResult(
status="nothing_to_reset",
message=(
"Backend reports nothing to reset — your limits aren't exhausted. "
"The credit was NOT spent."
),
available_count=available,
)
if code == "no_credit":
return CodexResetRedeemResult(
status="no_credit",
message="Backend reports no available reset credit on this account.",
)
if code == "already_redeemed":
return CodexResetRedeemResult(
status="already_redeemed",
message="This redemption was already processed — no additional credit was spent.",
available_count=remaining,
)
return CodexResetRedeemResult(
status="unavailable",
message=f"Unexpected response from the Codex backend: {body!r}",
)
def _fetch_anthropic_account_usage() -> Optional[AccountUsageSnapshot]:
token = (resolve_anthropic_token() or "").strip()
if not token:
@@ -880,7 +628,7 @@ def fetch_account_usage(
return None
try:
if normalized == "openai-codex":
return _fetch_codex_account_usage(base_url=base_url, api_key=api_key)
return _fetch_codex_account_usage()
if normalized == "anthropic":
return _fetch_anthropic_account_usage()
if normalized == "openrouter":
+95 -461
View File
@@ -68,118 +68,24 @@ def _ra():
return run_agent
def _build_codex_gpt5_autoraise_notice(autoraise: Dict[str, Any]) -> str:
"""Build the one-time notice shown when Codex gpt-5.x raises compaction.
def _build_codex_gpt55_autoraise_notice(autoraise: Dict[str, float]) -> str:
"""Build the one-time notice shown when Codex gpt-5.5 raises compaction.
``autoraise`` is ``{"model": <slug>, "from": <old_ratio>, "to": <new_ratio>}``.
The same text is printed inline for CLI users and replayed via
``status_callback`` for gateway users, so it must be self-contained and
include the exact opt-back-out command.
``autoraise`` is ``{"from": <old_ratio>, "to": <new_ratio>}``. The same
text is printed inline for CLI users and replayed via ``status_callback``
for gateway users, so it must be self-contained and include the exact
opt-back-out command.
"""
model = str(autoraise.get("model") or "gpt-5.4/5.5").strip().lower().rsplit("/", 1)[-1]
# gpt-5.3-codex-spark has a native 128K window; the gpt-5.4/5.5/5.6 family
# is capped at 272K by the Codex OAuth backend.
cap = "128K" if model.startswith("gpt-5.3-codex-spark") else "272K"
from_pct = int(round(autoraise["from"] * 100))
to_pct = int(round(autoraise["to"] * 100))
return (
f" Codex {model} caps context at {cap}, so auto-compaction was raised "
f" Codex gpt-5.5 caps context at 272K, so auto-compaction was raised "
f"to {to_pct}% (from {from_pct}%) to use more of the window before "
f"summarizing.\n"
f" Opt back out: hermes config set compression.codex_gpt55_autoraise false"
)
def _resolve_compression_threshold(
global_threshold: float,
model_cthresh: Optional[float],
*,
model: Optional[str] = None,
is_codex_autoraise: bool,
) -> tuple[float, Optional[Dict[str, Any]]]:
"""Combine the user's global compaction threshold with a per-model override.
Returns ``(effective_threshold, autoraise_notice)``. ``autoraise_notice`` is
``{"model": <slug>, "from": <old>, "to": <new>}`` only when a Codex
autoraise (gpt-5.4/5.5 272K family or gpt-5.3-codex-spark) actually raises
the threshold, otherwise ``None``.
The Codex overrides are *autoraises*: they must never LOWER a higher
user-configured threshold. A user who already set ``compression.threshold``
above the raised value deliberately keeps more raw context, and silently
dropping them would both waste usable window and contradict the feature's
purpose (use more of the window). Other overrides (e.g. Arcee Trinity)
keep their existing unconditional behaviour.
"""
if model_cthresh is None:
return global_threshold, None
if is_codex_autoraise:
if model_cthresh <= global_threshold + 1e-9:
# Autoraise never lowers; keep the user's higher/equal threshold.
return global_threshold, None
return model_cthresh, {
"model": model,
"from": global_threshold,
"to": model_cthresh,
}
return model_cthresh, None
def _codex_gpt55_autoraise_notice_marker():
"""Path to the per-profile marker recording that the autoraise notice ran.
Lives under ``$HERMES_HOME`` (which is profile-scoped) alongside the other
internal markers like ``.container-mode`` so it is not a user-facing config
key, and every profile tracks its own notice state independently.
"""
return get_hermes_home() / ".codex_gpt55_autoraise_notice"
def _codex_gpt55_autoraise_notice_state(autoraise: Dict[str, Any]) -> str:
"""Stable identity for one autoraise notice, keyed on what it displays.
Uses the model slug plus the same fromto percentages the notice text
shows, so an unchanged threshold stays silent across restarts while a
later change (the user edits their global ``threshold``, or switches to a
different autoraised Codex model) re-notifies once.
"""
model = str(autoraise.get("model") or "").strip().lower().rsplit("/", 1)[-1]
from_pct = int(round(float(autoraise["from"]) * 100))
to_pct = int(round(float(autoraise["to"]) * 100))
return f"{model}:{from_pct}:{to_pct}"
def _codex_gpt55_autoraise_notice_seen(autoraise: Dict[str, Any]) -> bool:
"""True if this exact autoraise notice was already shown for this profile.
A missing/unreadable marker (or one recording a different threshold) reads
as unseen, so the notice shows.
"""
try:
current = _codex_gpt55_autoraise_notice_state(autoraise)
return _codex_gpt55_autoraise_notice_marker().read_text(
encoding="utf-8"
).strip() == current
except (OSError, KeyError, TypeError, ValueError):
return False
def _record_codex_gpt55_autoraise_notice(autoraise: Dict[str, Any]) -> None:
"""Persist that the autoraise notice was shown for this profile/config state.
Best-effort: a read-only or missing ``$HERMES_HOME`` just means the notice
may show again next init, which is preferable to breaking agent init.
"""
try:
marker = _codex_gpt55_autoraise_notice_marker()
marker.parent.mkdir(parents=True, exist_ok=True)
marker.write_text(
_codex_gpt55_autoraise_notice_state(autoraise), encoding="utf-8"
)
except (OSError, KeyError, TypeError, ValueError):
pass
def _normalized_custom_base_url(value: Any) -> str:
if not isinstance(value, str):
return ""
@@ -187,26 +93,10 @@ def _normalized_custom_base_url(value: Any) -> str:
def _custom_provider_model_matches(agent_model: str, entry: Dict[str, Any]) -> bool:
agent_model_norm = str(agent_model or "").strip().lower()
# Multi-model entries (v12+ `providers.<name>.models` mapping / legacy
# `models:` list): the agent's model matching ANY catalog entry counts.
# Without this, a provider whose `model`/`default_model` differs from the
# session model silently fails to match and per-provider request settings
# (extra_body, e.g. OpenAI service_tier) are dropped — billing the whole
# session at the wrong tier (July 2026 sweeper incident: flex config
# ignored, ~2.3x overbilling).
models = entry.get("models")
catalog: List[str] = []
if isinstance(models, dict):
catalog = [str(k).strip().lower() for k in models.keys()]
elif isinstance(models, (list, tuple)):
catalog = [str(m).strip().lower() for m in models]
if catalog and agent_model_norm in catalog:
return True
provider_model = str(entry.get("model", "") or "").strip().lower()
if not provider_model and not catalog:
if not provider_model:
return True
return provider_model == agent_model_norm
return provider_model == str(agent_model or "").strip().lower()
def _custom_provider_extra_body_for_agent(
@@ -275,71 +165,70 @@ def _merge_custom_provider_extra_body(agent, custom_providers: List[Dict[str, An
def init_agent(
agent,
base_url: str | None = None,
api_key: str | None = None,
provider: str | None = None,
api_mode: str | None = None,
acp_command: str | None = None,
base_url: str = None,
api_key: str = None,
provider: str = None,
api_mode: str = None,
acp_command: str = None,
acp_args: list[str] | None = None,
command: str | None = None,
command: str = None,
args: list[str] | None = None,
model: str = "",
max_iterations: int = 90, # Default tool-calling iterations (shared with subagents)
tool_delay: float = 1.0,
enabled_toolsets: List[str] | None = None,
disabled_toolsets: List[str] | None = None,
enabled_toolsets: List[str] = None,
disabled_toolsets: List[str] = None,
save_trajectories: bool = False,
verbose_logging: bool = False,
quiet_mode: bool = False,
tool_progress_mode: str = "all",
ephemeral_system_prompt: str | None = None,
ephemeral_system_prompt: str = None,
log_prefix_chars: int = 100,
log_prefix: str = "",
providers_allowed: List[str] | None = None,
providers_ignored: List[str] | None = None,
providers_order: List[str] | None = None,
provider_sort: str | None = None,
providers_allowed: List[str] = None,
providers_ignored: List[str] = None,
providers_order: List[str] = None,
provider_sort: str = None,
provider_require_parameters: bool = False,
provider_data_collection: str | None = None,
provider_data_collection: str = None,
openrouter_min_coding_score: Optional[float] = None,
session_id: str | None = None,
tool_progress_callback: Callable | None = None,
tool_start_callback: Callable | None = None,
tool_complete_callback: Callable | None = None,
thinking_callback: Callable | None = None,
reasoning_callback: Callable | None = None,
clarify_callback: Callable | None = None,
read_terminal_callback: Callable | None = None,
step_callback: Callable | None = None,
stream_delta_callback: Callable | None = None,
interim_assistant_callback: Callable | None = None,
tool_gen_callback: Callable | None = None,
status_callback: Callable | None = None,
notice_callback: Callable | None = None,
notice_clear_callback: Callable | None = None,
session_id: str = None,
tool_progress_callback: callable = None,
tool_start_callback: callable = None,
tool_complete_callback: callable = None,
thinking_callback: callable = None,
reasoning_callback: callable = None,
clarify_callback: callable = None,
read_terminal_callback: callable = None,
step_callback: callable = None,
stream_delta_callback: callable = None,
interim_assistant_callback: callable = None,
tool_gen_callback: callable = None,
status_callback: callable = None,
notice_callback: callable = None,
notice_clear_callback: callable = None,
event_callback: Optional[Callable[[str, dict], None]] = None,
reaction_callback: Optional[Callable[[str], None]] = None,
max_tokens: int | None = None,
reasoning_config: Dict[str, Any] | None = None,
service_tier: str | None = None,
request_overrides: Dict[str, Any] | None = None,
prefill_messages: List[Dict[str, Any]] | None = None,
platform: str | None = None,
user_id: str | None = None,
user_id_alt: str | None = None,
user_name: str | None = None,
chat_id: str | None = None,
chat_name: str | None = None,
chat_type: str | None = None,
thread_id: str | None = None,
gateway_session_key: str | None = None,
max_tokens: int = None,
reasoning_config: Dict[str, Any] = None,
service_tier: str = None,
request_overrides: Dict[str, Any] = None,
prefill_messages: List[Dict[str, Any]] = None,
platform: str = None,
user_id: str = None,
user_id_alt: str = None,
user_name: str = None,
chat_id: str = None,
chat_name: str = None,
chat_type: str = None,
thread_id: str = None,
gateway_session_key: str = None,
skip_context_files: bool = False,
load_soul_identity: bool = False,
skip_memory: bool = False,
session_db=None,
parent_session_id: str | None = None,
iteration_budget: Optional["IterationBudget"] = None,
fallback_model: Dict[str, Any] | None = None,
parent_session_id: str = None,
iteration_budget: "IterationBudget" = None,
fallback_model: Dict[str, Any] = None,
credential_pool=None,
checkpoints_enabled: bool = False,
checkpoint_max_snapshots: int = 20,
@@ -428,13 +317,13 @@ def init_agent(
agent.skip_context_files = skip_context_files
agent.load_soul_identity = load_soul_identity
agent.pass_session_id = pass_session_id
agent._credential_pool = credential_pool
agent.log_prefix_chars = log_prefix_chars
agent.log_prefix = f"{log_prefix} " if log_prefix else ""
# Store effective base URL for feature detection (prompt caching, reasoning, etc.)
agent.base_url = base_url or ""
provider_name = provider.strip().lower() if isinstance(provider, str) and provider.strip() else None
agent.provider = provider_name or ""
agent._credential_pool = credential_pool
agent.acp_command = acp_command or command
agent.acp_args = list(acp_args or args or [])
if api_mode in {"chat_completions", "codex_responses", "anthropic_messages", "bedrock_converse", "codex_app_server"}:
@@ -470,24 +359,6 @@ def init_agent(
else:
agent.api_mode = "chat_completions"
# Credential-pool validation runs AFTER provider auto-detection so
# a pool scoped to e.g. "anthropic" is not rejected when the agent
# was constructed with provider=None and an anthropic.com URL.
# Regression from #63048 which placed this check before the
# URL-based auto-detection block above (fixed #63425).
if credential_pool is not None:
try:
from agent.credential_pool import credential_pool_matches_provider
if not credential_pool_matches_provider(
credential_pool,
agent.provider,
base_url=agent.base_url,
):
agent._credential_pool = None
except Exception:
agent._credential_pool = None
# Eagerly warm the transport cache so import errors surface at init,
# not mid-conversation. Also validates the api_mode is registered.
try:
@@ -570,7 +441,6 @@ def init_agent(
agent.notice_callback = notice_callback
agent.notice_clear_callback = notice_clear_callback
agent.event_callback = event_callback
agent.reaction_callback = reaction_callback
agent.tool_gen_callback = tool_gen_callback
@@ -743,25 +613,6 @@ def init_agent(
# commentary when the provider later returns it as a completed interim
# assistant message.
agent._current_streamed_assistant_text = ""
# Completed interim messages delivered during the current user turn.
# Unlike token-stream tracking, this spans Codex continuation/tool calls so
# repeated commentary is not re-sent before normalization can deduplicate it.
agent._delivered_interim_texts: set[str] = set()
# Single-writer guard for the streaming delta sink (#65991). A stale/
# superseded stream (e.g. one the stale-stream detector reconnected past,
# whose socket abort raced and never actually stopped the old worker) must
# NOT keep writing tokens into the turn alongside the retry's stream —
# otherwise two coherent responses interleave token-by-token into one
# transcript. Every streaming attempt claims a monotonic writer token; the
# delta sink drops chunks whose calling thread holds a stale token. The
# threading.local means threads that never claimed (non-streaming callers)
# are never fenced, so the guard can only ever drop a superseded stream,
# never the single legitimate writer.
agent._stream_writer_lock = threading.Lock()
agent._stream_writer_token = 0
agent._stream_writer_tls = threading.local()
agent._stream_writer_dropped = 0
# Optional current-turn user-message override used when the API-facing
# user message intentionally differs from the persisted transcript
@@ -871,50 +722,10 @@ def init_agent(
elif agent.provider == "moa":
from agent.moa_loop import MoAClient
agent.api_mode = "chat_completions"
# Route reference-model outputs to the agent's tool_progress_callback so
# every surface that already consumes it (CLI spinner/scrollback, TUI,
# desktop, gateway) can show each reference's answer as a labelled block
# before the aggregator acts. The facade emits "moa.reference" and
# "moa.aggregating" events; we forward them through the same callback
# the tool lifecycle uses. Best-effort and cache-safe — these are
# display-only events, they never touch the message history.
def _moa_reference_relay(event: str, **kwargs: Any) -> None:
cb = getattr(agent, "tool_progress_callback", None)
if cb is None:
return
try:
if event == "moa.reference":
label = str(kwargs.get("label") or "")
text = str(kwargs.get("text") or "")
idx = kwargs.get("index")
count = kwargs.get("count")
cb(
"moa.reference",
label,
text,
None,
moa_index=idx,
moa_count=count,
)
elif event == "moa.aggregating":
cb(
"moa.aggregating",
str(kwargs.get("aggregator") or ""),
None,
None,
moa_ref_count=kwargs.get("ref_count"),
)
except Exception:
pass
agent.client = MoAClient(
agent.model or "default",
reference_callback=_moa_reference_relay,
)
agent.client = MoAClient(agent.model or "default")
agent._client_kwargs = {}
agent.api_key = api_key or "moa-virtual-provider"
agent.base_url = "moa://local"
agent.base_url = base_url or "moa://local"
if not agent.quiet_mode:
print(f"🤖 AI Agent initialized with MoA preset: {agent.model}")
elif agent.api_mode == "bedrock_converse":
@@ -977,7 +788,7 @@ def init_agent(
client_kwargs["default_headers"] = build_nvidia_nim_headers(effective_base)
elif base_url_host_matches(effective_base, "api.routermint.com"):
client_kwargs["default_headers"] = _ra()._routermint_headers()
elif base_url_host_matches(effective_base, "githubcopilot.com"):
elif base_url_host_matches(effective_base, "api.githubcopilot.com"):
from hermes_cli.models import copilot_default_headers
client_kwargs["default_headers"] = copilot_default_headers()
@@ -1123,34 +934,6 @@ def init_agent(
# this mutation is reflected in the client built just below.
agent._apply_user_default_headers()
try:
from hermes_cli.config import (
apply_custom_provider_extra_headers_to_client_kwargs,
apply_custom_provider_tls_to_client_kwargs,
get_compatible_custom_providers,
load_config,
)
_cp_config = load_config()
_cp_entries = get_compatible_custom_providers(_cp_config)
_cp_base_url = str(client_kwargs.get("base_url") or agent.base_url or "")
apply_custom_provider_tls_to_client_kwargs(
client_kwargs,
_cp_base_url,
_cp_entries,
)
# Per-provider extra HTTP headers (providers.<name>.extra_headers /
# custom_providers[].extra_headers) — proxies, gateways, custom
# auth. Applied last so the most specific config level wins.
# SECURITY: values may carry credentials — never log them.
apply_custom_provider_extra_headers_to_client_kwargs(
client_kwargs,
_cp_base_url,
_cp_entries,
)
except Exception:
logger.debug("custom-provider TLS resolution skipped", exc_info=True)
agent.api_key = client_kwargs.get("api_key", "")
agent.base_url = client_kwargs.get("base_url", agent.base_url)
try:
@@ -1336,14 +1119,6 @@ def init_agent(
# SQLite session store (optional -- provided by CLI or gateway)
agent._session_db = session_db
agent._parent_session_id = parent_session_id
# A close flush and the worker's turn-start flush can overlap. The durable
# marker is attached to each in-memory message dict, so its test-and-append
# sequence must be serialized per agent rather than relying on SQLite alone.
agent._session_persist_lock = threading.RLock()
# CLI retains its just-accepted user dict until turn setup can reuse it.
# This preserves the message-local durable marker if close persistence wins
# the race before the agent's normal early turn flush.
agent._pending_cli_user_message = None
agent._last_flushed_db_idx = 0 # tracks DB-write cursor to prevent duplicate writes
agent._session_db_created = False # DB row deferred to run_conversation()
# Most agents own their session row and should finalize it on close().
@@ -1352,11 +1127,6 @@ def init_agent(
# continuation row that must remain open after the helper is torn down;
# those callers explicitly set this flag to False.
agent._end_session_on_close = True
# When True, this agent NEVER persists to the canonical session store
# (state.db) or the JSON snapshot, regardless of session_id. Set on the
# background skill/memory review fork so its harness turn can't leak into
# the user's real session and hijack the next live turn. Default False.
agent._persist_disabled = False
agent._session_init_model_config = {
"max_iterations": agent.max_iterations,
"reasoning_config": reasoning_config,
@@ -1373,40 +1143,6 @@ def init_agent(
_agent_cfg = _load_agent_config()
except Exception:
_agent_cfg = {}
# Codex commentary visibility (display.show_commentary, default true).
# When true, completed Codex phase=commentary messages are delivered as
# visible mid-turn updates through the interim message path. When false,
# commentary falls back to the reasoning channel (visible only with
# show_reasoning enabled).
agent.show_commentary = True
try:
_display_section = _agent_cfg.get("display", {})
if isinstance(_display_section, dict):
agent.show_commentary = bool(_display_section.get("show_commentary", True))
except Exception:
agent.show_commentary = True
# LM Studio can either be explicitly preloaded through LM Studio's
# management API (the historical Hermes behavior) or left to LM Studio's
# just-in-time / Auto-Evict chat-completions path. Keep the default
# explicit for backward compatibility; users with LM Studio Auto-Evict can
# opt into JIT via ``model.lmstudio_load_mode: jit``.
agent.lmstudio_load_mode = "explicit"
try:
_model_section = _agent_cfg.get("model", {})
if isinstance(_model_section, dict):
_load_mode = str(_model_section.get("lmstudio_load_mode", "explicit") or "explicit").strip().lower()
if _load_mode in {"explicit", "jit"}:
agent.lmstudio_load_mode = _load_mode
else:
logger.warning(
"Invalid model.lmstudio_load_mode=%r; expected 'explicit' or 'jit'. Using explicit.",
_model_section.get("lmstudio_load_mode"),
)
except Exception:
agent.lmstudio_load_mode = "explicit"
try:
agent._tool_guardrails = ToolCallGuardrailController(
ToolCallGuardrailConfig.from_mapping(
@@ -1531,12 +1267,6 @@ def init_agent(
_agent_section = {}
agent._tool_use_enforcement = _agent_section.get("tool_use_enforcement", "auto")
# Intent-ack continuation config: "auto" (default — codex_responses only,
# the historical gate), true (all api_modes), false (never), or a list of
# model-name substrings. Resolved against the active api_mode/model in the
# conversation loop's intent-ack block.
agent._intent_ack_continuation = _agent_section.get("intent_ack_continuation", "auto")
# Universal task-completion guidance toggle. Default True. Surfaced
# as a separate flag from tool_use_enforcement because the guidance
# applies to ALL models, not just the model families enforcement
@@ -1554,17 +1284,6 @@ def init_agent(
# line). Useful for users on exotic setups where the probe heuristics
# are noisy.
agent._environment_probe = bool(_agent_section.get("environment_probe", True))
# Warm the probe off-thread: it shells out to python3/pip (~0.5s of
# subprocess round-trips) and its result lands in the FIRST system
# prompt build, which sits on the time-to-first-token critical path.
# The warm runs during agent init (network/credential setup dominates),
# so by the time the first prompt is built the line is already cached.
if agent._environment_probe:
try:
from tools.env_probe import warm_environment_probe_async
warm_environment_probe_async()
except Exception:
pass
# Per-platform prompt-hint overrides (config.yaml → platform_hints).
# Lets an enterprise admin append to or replace Hermes' built-in
@@ -1600,48 +1319,41 @@ def init_agent(
if not isinstance(_compression_cfg, dict):
_compression_cfg = {}
compression_threshold = float(_compression_cfg.get("threshold", 0.50))
# Per-model/route compaction-threshold override. Codex gpt-5.4 / gpt-5.5
# raise to 85% (the Codex backend caps both families at 272K, so the
# default 50% would compact at ~136K — half the usable context). Gated by
# an opt-out config flag so the user can fall back to the global threshold;
# when the override fires we stash a one-time notification (replayed on the
# first turn) that tells the user what changed and how to revert. The
# notice has its own display gate so users can keep the threshold
# autoraise without getting the banner on gateway turns.
# Per-model/route compaction-threshold override. Codex gpt-5.5 raises to
# 85% (the Codex backend caps the window at 272K, so the default 50% would
# compact at ~136K — half the usable context). Gated by an opt-out config
# flag so the user can fall back to the global threshold; when the override
# fires we stash a one-time notification (replayed on the first turn) that
# tells the user what changed and how to revert.
_codex_gpt55_autoraise = str(
_compression_cfg.get("codex_gpt55_autoraise", True)
).lower() in {"true", "1", "yes"}
_codex_gpt55_autoraise_notice = str(
_compression_cfg.get("codex_gpt55_autoraise_notice", True)
).lower() in {"true", "1", "yes"}
agent._compression_threshold_autoraised = None
try:
from agent.auxiliary_client import (
_compression_threshold_for_model as _cthresh_fn,
_is_codex_gpt54_or_gpt55 as _is_codex_gpt54_or_gpt55_fn,
_is_codex_spark as _is_codex_spark_fn,
_is_codex_gpt55 as _is_codex_gpt55_fn,
)
_model_cthresh = _cthresh_fn(
agent.model,
agent.provider,
allow_codex_gpt55_autoraise=_codex_gpt55_autoraise,
)
# The Codex autoraises (gpt-5.4/5.5 272K family and gpt-5.3-codex-spark)
# apply only when they RAISE (never lower a user's higher global
# threshold). The notice is populated only when it actually fires, and
# carries the model slug so the banner names the right family. Arcee
# Trinity keeps its long-standing unconditional behaviour.
compression_threshold, agent._compression_threshold_autoraised = (
_resolve_compression_threshold(
compression_threshold,
_model_cthresh,
model=agent.model,
is_codex_autoraise=(
_is_codex_gpt54_or_gpt55_fn(agent.model, agent.provider)
or _is_codex_spark_fn(agent.model, agent.provider)
),
)
)
if _model_cthresh is not None:
_prev_threshold = compression_threshold
compression_threshold = _model_cthresh
# Notify only for the Codex gpt-5.5 autoraise (the Arcee Trinity
# override is a long-standing silent default). Skip the notice when
# the user's global threshold already meets/exceeds the raised
# value, since nothing actually changed for them.
if (
_is_codex_gpt55_fn(agent.model, agent.provider)
and _model_cthresh > _prev_threshold + 1e-9
):
agent._compression_threshold_autoraised = {
"from": _prev_threshold,
"to": _model_cthresh,
}
except Exception:
pass
compression_enabled = str(_compression_cfg.get("enabled", True)).lower() in {"true", "1", "yes"}
@@ -1667,16 +1379,6 @@ def init_agent(
compression_in_place = is_truthy_value(
_compression_cfg.get("in_place"), default=False
)
codex_app_server_auto_compaction = str(
_compression_cfg.get("codex_app_server_auto", "native") or "native"
).lower()
if codex_app_server_auto_compaction not in {"native", "hermes", "off"}:
_ra().logger.warning(
"Invalid compression.codex_app_server_auto=%r; using 'native'. "
"Valid values are: native, hermes, off.",
codex_app_server_auto_compaction,
)
codex_app_server_auto_compaction = "native"
# Read optional explicit context_length override for the auxiliary
# compression model. Custom endpoints often cannot report this via
@@ -1880,12 +1582,6 @@ def init_agent(
if _selected_engine is not None:
agent.context_compressor = _selected_engine
# External engines own compaction policy: the host compression
# threshold (including the Codex gpt-5.5 autoraise above) only
# configures the built-in ContextCompressor and never reaches the
# plugin, so the autoraise notice would announce a change that does
# not apply. Drop it. (#44439)
agent._compression_threshold_autoraised = None
# Resolve context_length for plugin engines — mirrors switch_model() path
from agent.model_metadata import get_model_context_length
_plugin_ctx_len = get_model_context_length(
@@ -1923,15 +1619,8 @@ def init_agent(
abort_on_summary_failure=compression_abort_on_summary_failure,
max_tokens=agent.max_tokens,
)
_bind_session_state = getattr(agent.context_compressor, "bind_session_state", None)
if callable(_bind_session_state):
try:
_bind_session_state(session_db=session_db, session_id=agent.session_id)
except Exception:
pass
agent.compression_enabled = compression_enabled
agent.compression_in_place = compression_in_place
agent.codex_app_server_auto_compaction = codex_app_server_auto_compaction
# Reject models whose context window is below the minimum required
# for reliable tool-calling workflows (64K tokens).
@@ -1941,39 +1630,10 @@ def init_agent(
f"Model {agent.model} has a context window of {_ctx:,} tokens, "
f"which is below the minimum {MINIMUM_CONTEXT_LENGTH:,} required "
f"by Hermes Agent. Choose a model with at least "
f"{MINIMUM_CONTEXT_LENGTH // 1000}K context. If your server "
f"reports a window smaller than the model's true window, set "
f"model.context_length in config.yaml to the real value "
f"(this must be at least {MINIMUM_CONTEXT_LENGTH // 1000}K)."
f"{MINIMUM_CONTEXT_LENGTH // 1000}K context, or set "
f"model.context_length in config.yaml to override."
)
# Nous Hermes 3/4 are chat models, not tool-call-tuned. The interactive
# CLI already warns via cli.py show_banner() (richer output + /model hint),
# so skip platform=="cli" here to avoid emitting the warning twice per
# startup. (Gateway/TUI/cron construct with quiet_mode=True and are already
# gated off by the `not agent.quiet_mode` check above; this guard's active
# job is the CLI dedup, and it leaves the door open for any non-quiet
# non-CLI surface to still surface the warning.)
if not agent.quiet_mode and (agent.platform or "cli") != "cli":
try:
from hermes_cli.model_switch import _check_hermes_model_warning
_hermes_warn = _check_hermes_model_warning(agent.model or "")
if _hermes_warn:
_user_msg = (
"⚠ Nous Research Hermes 3 & 4 models are NOT agentic — they "
"lack reliable tool-calling for agent workflows (delegation, "
"cron, proactive tools). Consider an agentic model instead "
"(Claude, GPT, Gemini, Qwen-Coder, etc.)."
)
if hasattr(agent, "_emit_warning"):
agent._emit_warning(_user_msg)
else:
print(f"\n{_user_msg}\n", file=sys.stderr)
_ra().logger.warning(_hermes_warn)
except Exception:
pass
# Inject context engine tool schemas (e.g. lcm_grep, lcm_describe, lcm_expand).
# Skip names that are already present — the _ra().get_tool_definitions()
# quiet_mode cache returned a shared list pre-#17335, so a stray
@@ -2043,8 +1703,6 @@ def init_agent(
working_dir=os.getenv("TERMINAL_CWD") or None,
)
agent._user_turn_count = 0
# Copilot x-initiator flag: first API call of a user turn sends "user" (#3040).
agent._is_user_initiated_turn = False
# Cumulative token usage for the session
agent.session_prompt_tokens = 0
@@ -2109,53 +1767,29 @@ def init_agent(
agent._ollama_num_ctx,
)
# Codex gpt-5.x autoraise notice: show at most once per profile/config
# state. Without the persisted marker the notice re-fires on every agent
# init — and the gateway rebuilds the agent per inbound message, so Discord
# etc. saw it repeatedly (#54432). A change in the raised threshold (or the
# autoraised model) updates the marker state and re-notifies once. The
# config display gate (compression.codex_gpt55_autoraise_notice) still
# suppresses the banner entirely without disabling the threshold autoraise.
_autoraise = getattr(agent, "_compression_threshold_autoraised", None)
_show_autoraise_notice = (
bool(_autoraise)
and compression_enabled
and _codex_gpt55_autoraise_notice
and not _codex_gpt55_autoraise_notice_seen(_autoraise)
)
if not agent.quiet_mode:
if compression_enabled:
# Report the active engine's own threshold — for a plugin engine
# the host compression_threshold is not in effect, and mixing the
# two printed a percent that contradicted the token count. (#44439)
_active_threshold_pct = getattr(
agent.context_compressor, "threshold_percent", compression_threshold
)
print(f"📊 Context limit: {agent.context_compressor.context_length:,} tokens (compress at {int(_active_threshold_pct*100)}% = {agent.context_compressor.threshold_tokens:,})")
print(f"📊 Context limit: {agent.context_compressor.context_length:,} tokens (compress at {int(compression_threshold*100)}% = {agent.context_compressor.threshold_tokens:,})")
else:
print(f"📊 Context limit: {agent.context_compressor.context_length:,} tokens (auto-compression disabled)")
# Notice with the exact opt-back-out command. Printed inline at startup
# for CLI users; gateway users get the same text replayed via
# _compression_warning on turn 1 (set below).
if _show_autoraise_notice:
print(_build_codex_gpt5_autoraise_notice(_autoraise))
# One-time notice when the Codex gpt-5.5 autoraise kicked in, with the
# exact opt-back-out command. Printed inline at startup for CLI users;
# gateway users get the same text replayed via _compression_warning on
# turn 1 (set below, after the warning slot is initialized).
_autoraise = getattr(agent, "_compression_threshold_autoraised", None)
if _autoraise and compression_enabled:
print(_build_codex_gpt55_autoraise_notice(_autoraise))
# Check immediately so CLI users see the warning at startup.
# Gateway status_callback is not yet wired, so any warning is stored
# in _compression_warning and replayed in the first run_conversation().
agent._compression_warning = None
# Gateway parity for the Codex gpt-5.x autoraise notice: the startup print
# Gateway parity for the Codex gpt-5.5 autoraise notice: the startup print
# above only reaches the CLI, so stash the same text here to be replayed
# through status_callback on the first turn (Telegram/Discord/Slack/etc.).
if _show_autoraise_notice:
agent._compression_warning = _build_codex_gpt5_autoraise_notice(_autoraise)
# Mark shown so repeated inits in this profile (e.g. every gateway message)
# stay silent. Recorded once, whether the notice went to the CLI print or
# the gateway replay slot.
if _show_autoraise_notice:
_record_codex_gpt55_autoraise_notice(_autoraise)
_autoraise = getattr(agent, "_compression_threshold_autoraised", None)
if _autoraise and compression_enabled:
agent._compression_warning = _build_codex_gpt55_autoraise_notice(_autoraise)
# Lazy feasibility check: deferred to the first turn that approaches the
# compression threshold. Running it eagerly here costs ~400ms cold (network
# probe of the auxiliary provider chain + /models lookup) on every agent
File diff suppressed because it is too large Load Diff
+84 -220
View File
@@ -65,7 +65,6 @@ THINKING_BUDGET = {"xhigh": 32000, "high": 16000, "medium": 8000, "low": 4000}
# maps to low on every model. See:
# https://platform.claude.com/docs/en/about-claude/models/migration-guide
ADAPTIVE_EFFORT_MAP = {
"ultra": "max",
"max": "max",
"xhigh": "xhigh",
"high": "high",
@@ -534,9 +533,8 @@ def _requires_bearer_auth(base_url: str | None) -> bool:
Some third-party /anthropic endpoints implement Anthropic's Messages API but
require Authorization: Bearer instead of Anthropic's native x-api-key header.
MiniMax's global and China Anthropic-compatible endpoints, Azure AI
Foundry's Anthropic-style endpoint, and Palantir Foundry's LLM proxy
follow this pattern.
MiniMax's global and China Anthropic-compatible endpoints, and Azure AI
Foundry's Anthropic-style endpoint follow this pattern.
"""
normalized = _normalize_base_url_text(base_url)
if not normalized:
@@ -545,11 +543,6 @@ def _requires_bearer_auth(base_url: str | None) -> bool:
return (
normalized.startswith(("https://api.minimax.io/anthropic", "https://api.minimaxi.com/anthropic"))
or "azure.com" in normalized
# Palantir Foundry LLM proxy (<org>.palantirfoundry.com/api/v2/llm/proxy/anthropic)
# rejects x-api-key with 401 and requires Authorization: Bearer.
# Hostname match (not substring) so e.g. evil.com/palantirfoundry
# paths don't trigger Bearer auth.
or base_url_host_matches(normalized, "palantirfoundry.com")
)
@@ -633,8 +626,8 @@ def _common_betas_for_base_url(
def _build_anthropic_client_with_bearer_hook(
token_provider,
base_url: str | None = None,
timeout: float | None = None,
base_url: str = None,
timeout: float = None,
*,
drop_context_1m_beta: bool = False,
):
@@ -680,9 +673,6 @@ def _build_anthropic_client_with_bearer_hook(
kwargs = {
"timeout": timeout_obj,
"http_client": http_client,
# Delegate retry to hermes's outer loop (honors Retry-After); the SDK
# default max_retries=2 ignores it and double-retries. (#26293)
"max_retries": 0,
# The SDK requires *something* for api_key/auth_token. Our
# event hook overrides Authorization per request so this value
# is never sent. The sentinel string makes accidental leaks
@@ -709,8 +699,8 @@ def _build_anthropic_client_with_bearer_hook(
def build_anthropic_client(
api_key,
base_url: str | None = None,
timeout: float | None = None,
base_url: str = None,
timeout: float = None,
*,
drop_context_1m_beta: bool = False,
):
@@ -767,12 +757,6 @@ def build_anthropic_client(
_read_timeout = timeout if (isinstance(timeout, (int, float)) and timeout > 0) else 900.0
kwargs = {
"timeout": Timeout(timeout=float(_read_timeout), connect=10.0),
# Delegate all rate-limit / 5xx retry to hermes's outer conversation
# loop, which honors Retry-After. The SDK default (max_retries=2) uses
# its own 1-2s backoff that ignores Retry-After and double-retries
# inside our loop — burning request slots against a bucket that won't
# refill for minutes. (#26293)
"max_retries": 0,
}
if normalized_base_url:
# Azure Anthropic endpoints require an ``api-version`` query parameter.
@@ -824,7 +808,7 @@ def build_anthropic_client(
kwargs["auth_token"] = api_key
kwargs["default_headers"] = {
"anthropic-beta": ",".join(all_betas),
"user-agent": f"claude-code/{_get_claude_code_version()} (external, cli)",
"user-agent": f"claude-cli/{_get_claude_code_version()} (external, cli)",
"x-app": "cli",
}
else:
@@ -868,9 +852,6 @@ def build_anthropic_bedrock_client(region: str):
return _anthropic_sdk.AnthropicBedrock(
aws_region=region,
timeout=Timeout(timeout=900.0, connect=10.0),
# Delegate retry to hermes's outer loop (honors Retry-After); the SDK
# default max_retries=2 ignores it and double-retries. (#26293)
max_retries=0,
default_headers={"anthropic-beta": ",".join([*_COMMON_BETAS, _CONTEXT_1M_BETA])},
)
@@ -933,72 +914,44 @@ def _read_claude_code_credentials_from_keychain() -> Optional[Dict[str, Any]]:
return None
def _read_claude_code_credentials_from_file() -> Optional[Dict[str, Any]]:
"""Read Claude Code OAuth credentials from ~/.claude/.credentials.json.
Returns dict with {accessToken, refreshToken?, expiresAt?, source} or None.
"""
cred_path = Path.home() / ".claude" / ".credentials.json"
if not cred_path.exists():
return None
try:
data = json.loads(cred_path.read_text(encoding="utf-8"))
except (json.JSONDecodeError, OSError, IOError) as e:
logger.debug("Failed to read ~/.claude/.credentials.json: %s", e)
return None
oauth_data = data.get("claudeAiOauth")
if not (oauth_data and isinstance(oauth_data, dict)):
return None
access_token = oauth_data.get("accessToken", "")
if not access_token:
return None
return {
"accessToken": access_token,
"refreshToken": oauth_data.get("refreshToken", ""),
"expiresAt": oauth_data.get("expiresAt", 0),
"source": "claude_code_credentials_file",
}
def read_claude_code_credentials() -> Optional[Dict[str, Any]]:
"""Read refreshable Claude Code OAuth credentials.
Reads from two possible sources and reconciles them:
Checks two sources in order:
1. macOS Keychain (Darwin only) "Claude Code-credentials" entry
2. ~/.claude/.credentials.json file
Selection rules when both are present:
- If exactly one is non-expired, prefer that one. (Handles the case
where Claude Code refreshes one source but not the other observed
in the wild on Claude Code 2.1.x.)
- Otherwise, prefer the source with the later ``expiresAt`` so that
any subsequent refresh uses the most recent ``refreshToken``.
This intentionally excludes ~/.claude.json primaryApiKey. Opencode's
subscription flow is OAuth/setup-token based with refreshable credentials,
and native direct Anthropic provider usage should follow that path rather
than auto-detecting Claude's first-party managed key.
Returns dict with {accessToken, refreshToken?, expiresAt?, source} or None.
Returns dict with {accessToken, refreshToken?, expiresAt?} or None.
"""
# Try macOS Keychain first (covers Claude Code >=2.1.114)
kc_creds = _read_claude_code_credentials_from_keychain()
file_creds = _read_claude_code_credentials_from_file()
if kc_creds:
return kc_creds
if kc_creds and file_creds:
kc_valid = is_claude_code_token_valid(kc_creds)
file_valid = is_claude_code_token_valid(file_creds)
if kc_valid and not file_valid:
return kc_creds
if file_valid and not kc_valid:
return file_creds
# Both valid or both expired: prefer the later expiresAt so the
# downstream refresh path uses the freshest refresh_token.
kc_exp = kc_creds.get("expiresAt", 0) or 0
file_exp = file_creds.get("expiresAt", 0) or 0
return kc_creds if kc_exp >= file_exp else file_creds
# Fall back to JSON file
cred_path = Path.home() / ".claude" / ".credentials.json"
if cred_path.exists():
try:
data = json.loads(cred_path.read_text(encoding="utf-8"))
oauth_data = data.get("claudeAiOauth")
if oauth_data and isinstance(oauth_data, dict):
access_token = oauth_data.get("accessToken", "")
if access_token:
return {
"accessToken": access_token,
"refreshToken": oauth_data.get("refreshToken", ""),
"expiresAt": oauth_data.get("expiresAt", 0),
"source": "claude_code_credentials_file",
}
except (json.JSONDecodeError, OSError, IOError) as e:
logger.debug("Failed to read ~/.claude/.credentials.json: %s", e)
return kc_creds or file_creds
return None
def is_claude_code_token_valid(creds: Dict[str, Any]) -> bool:
@@ -1052,7 +1005,7 @@ def refresh_anthropic_oauth_pure(refresh_token: str, *, use_json: bool = False)
data=data,
headers={
"Content-Type": content_type,
"User-Agent": _OAUTH_TOKEN_USER_AGENT,
"User-Agent": f"claude-cli/{_get_claude_code_version()} (external, cli)",
},
method="POST",
)
@@ -1081,40 +1034,8 @@ def refresh_anthropic_oauth_pure(refresh_token: str, *, use_json: bool = False)
def _refresh_oauth_token(creds: Dict[str, Any]) -> Optional[str]:
"""Attempt to refresh an expired Claude Code OAuth token.
Claude Code's OAuth refresh tokens are single-use: a successful refresh
rotates the pair and invalidates the old refresh token. Claude Code itself
also refreshes on its own schedule (IDE/CLI activity), so by the time
Hermes notices an expired token, Claude Code may have already rotated it.
POSTing our now-stale refresh token in that window races Claude Code and
fails with ``invalid_grant``.
So before refreshing, re-read the live credential sources. If Claude Code
has already produced a valid token, adopt it and skip the POST entirely.
Only fall back to refreshing ourselves when no fresh credential is found.
"""
# Claude Code may have already refreshed — adopt its token rather than
# racing it with our (possibly already-rotated) refresh token. Only adopt
# when the live re-read produced a DIFFERENT token with a real future
# expiry: re-adopting the same credential we were just handed would be a
# no-op, and a 0/absent ``expiresAt`` means "managed key / unknown expiry"
# (see is_claude_code_token_valid) which must NOT be treated as a fresh
# refresh here.
current = read_claude_code_credentials()
if current:
current_token = current.get("accessToken", "")
current_exp = current.get("expiresAt", 0) or 0
if (
current_token
and current_token != creds.get("accessToken", "")
and current_exp > 0
and is_claude_code_token_valid(current)
):
logger.debug("Adopted Claude Code's already-refreshed OAuth token")
return current_token
refresh_token = (current or {}).get("refreshToken", "") or creds.get("refreshToken", "")
"""Attempt to refresh an expired Claude Code OAuth token."""
refresh_token = creds.get("refreshToken", "")
if not refresh_token:
logger.debug("No refresh token available — cannot refresh")
return None
@@ -1385,20 +1306,9 @@ _OAUTH_TOKEN_URLS = [
"https://console.anthropic.com/v1/oauth/token",
]
_OAUTH_TOKEN_URL = _OAUTH_TOKEN_URLS[0]
# User-Agent sent on the OAuth *token endpoint* (login exchange + refresh).
# Anthropic rate-limits (HTTP 429) any token-endpoint request whose UA starts
# with ``claude-code/`` — verified empirically against platform.claude.com:
# ``claude-code/2.1.200`` and ``Mozilla/5.0`` -> 429; ``axios/*``, ``node``,
# and SDK-style UAs -> 400 (reached code validation). The real Claude Code CLI
# exchanges the auth code with a bare axios client (``axios/<ver>``), NOT its
# ``claude-code/`` inference UA. We mirror that here. NOTE: the *inference* path
# (build_anthropic_kwargs) still uses the ``claude-code/`` UA + ``x-app: cli`` —
# that fingerprint is required there and is NOT throttled on the messages API.
_OAUTH_TOKEN_USER_AGENT = "axios/1.7.9"
_OAUTH_REDIRECT_URI = "https://console.anthropic.com/oauth/code/callback"
_OAUTH_SCOPES = "org:create_api_key user:profile user:inference"
def _get_hermes_oauth_file() -> Path:
return get_hermes_home() / ".anthropic_oauth.json"
_HERMES_OAUTH_FILE = get_hermes_home() / ".anthropic_oauth.json"
def _generate_pkce() -> tuple:
@@ -1496,9 +1406,6 @@ def run_hermes_oauth_login_pure() -> Optional[Dict[str, Any]]:
# Anthropic migrated the OAuth token endpoint to platform.claude.com;
# console.anthropic.com now 404s. Try the new host first, then fall
# back to console for older deployments (mirrors the refresh path).
# UA is _OAUTH_TOKEN_USER_AGENT (a non-claude-code UA) — see the
# constant's definition for why the token endpoint must not send
# claude-code/ (429 UA-prefix block).
result = None
last_error = None
for endpoint in _OAUTH_TOKEN_URLS:
@@ -1507,7 +1414,7 @@ def run_hermes_oauth_login_pure() -> Optional[Dict[str, Any]]:
data=exchange_data,
headers={
"Content-Type": "application/json",
"User-Agent": _OAUTH_TOKEN_USER_AGENT,
"User-Agent": f"claude-cli/{_get_claude_code_version()} (external, cli)",
},
method="POST",
)
@@ -1546,10 +1453,9 @@ def run_hermes_oauth_login_pure() -> Optional[Dict[str, Any]]:
def read_hermes_oauth_credentials() -> Optional[Dict[str, Any]]:
"""Read Hermes-managed OAuth credentials from ~/.hermes/.anthropic_oauth.json."""
oauth_file = _get_hermes_oauth_file()
if oauth_file.exists():
if _HERMES_OAUTH_FILE.exists():
try:
data = json.loads(oauth_file.read_text(encoding="utf-8"))
data = json.loads(_HERMES_OAUTH_FILE.read_text(encoding="utf-8"))
if data.get("accessToken"):
return data
except (json.JSONDecodeError, OSError, IOError) as e:
@@ -1913,18 +1819,6 @@ def _sanitize_replay_block(b: Dict[str, Any]) -> Optional[Dict[str, Any]]:
return None
def _apply_assistant_cache_control_to_last_cacheable_block(
blocks: List[Dict[str, Any]],
cache_control: Any,
) -> None:
if not isinstance(cache_control, dict):
return
for block in reversed(blocks):
if isinstance(block, dict) and block.get("type") in {"text", "tool_use"}:
block.setdefault("cache_control", dict(cache_control))
break
def _convert_assistant_message(m: Dict[str, Any]) -> Dict[str, Any]:
"""Convert an assistant message to Anthropic content blocks.
@@ -1979,9 +1873,6 @@ def _convert_assistant_message(m: Dict[str, Any]) -> Dict[str, Any]:
clean["input"] = redacted
replayed.append(clean)
if replayed:
_apply_assistant_cache_control_to_last_cacheable_block(
replayed, m.get("cache_control")
)
return {"role": "assistant", "content": replayed}
blocks = _extract_preserved_thinking_blocks(m)
@@ -2007,9 +1898,6 @@ def _convert_assistant_message(m: Dict[str, Any]) -> Dict[str, Any]:
"name": fn.get("name", ""),
"input": parsed_args,
})
_apply_assistant_cache_control_to_last_cacheable_block(
blocks, m.get("cache_control")
)
# Kimi's /coding endpoint (Anthropic protocol) requires assistant
# tool-call messages to carry reasoning_content when thinking is
# enabled server-side. Preserve it as a thinking block so Kimi
@@ -2109,7 +1997,7 @@ def _convert_user_message(content: Any) -> Dict[str, Any]:
if isinstance(content, list):
converted_blocks = _convert_content_to_anthropic(content)
if not converted_blocks or all(
(b.get("text") or "").strip() == ""
b.get("text", "").strip() == ""
for b in converted_blocks
if isinstance(b, dict) and b.get("type") == "text"
):
@@ -2125,81 +2013,57 @@ def _strip_orphaned_tool_blocks(result: List[Dict[str, Any]]) -> None:
"""Strip tool_use blocks with no matching tool_result, and vice versa.
Context compression or session truncation can remove either side of a
tool-call pair, or insert messages between a tool_use and its result.
Anthropic requires each tool_use to have a matching tool_result in the
IMMEDIATELY FOLLOWING user message a global ID match is not enough.
tool-call pair. Anthropic rejects both orphans with HTTP 400.
Mutates ``result`` in place.
"""
# Pass 1: For each assistant message with tool_use blocks, check that
# EACH tool_use ID has a matching tool_result in the immediately following
# user message. Strip tool_use blocks that lack an adjacent result —
# Anthropic rejects non-adjacent pairs with HTTP 400 even when the IDs
# match somewhere later in the conversation.
for i, m in enumerate(result):
if m.get("role") != "assistant" or not isinstance(m.get("content"), list):
continue
tool_use_ids_in_turn = {
b.get("id")
for b in m["content"]
if isinstance(b, dict) and b.get("type") == "tool_use"
}
if not tool_use_ids_in_turn:
continue
# Collect result IDs from the immediately following user message only.
adjacent_result_ids: set = set()
if i + 1 < len(result):
nxt = result[i + 1]
if nxt.get("role") == "user" and isinstance(nxt.get("content"), list):
for block in nxt["content"]:
if isinstance(block, dict) and block.get("type") == "tool_result":
adjacent_result_ids.add(block.get("tool_use_id"))
orphaned = tool_use_ids_in_turn - adjacent_result_ids
if not orphaned:
continue
kept = [
b
for b in m["content"]
if not (isinstance(b, dict) and b.get("type") == "tool_use" and b.get("id") in orphaned)
]
# If stripping an orphaned tool_use mutated a turn that also carries a
# signed thinking block, that block's Anthropic signature was computed
# against the ORIGINAL (un-stripped) turn content and is now invalid.
# Anthropic rejects the replayed turn with HTTP 400 "thinking blocks in
# the latest assistant message cannot be modified". Flag the turn so
# _manage_thinking_signatures can demote the dead signature instead of
# replaying it verbatim. See hermes-agent: extended-thinking + parallel
# tool batch interrupted mid-flight → non-retryable 400 crash-loop.
if len(kept) != len(m["content"]) and any(
isinstance(b, dict) and b.get("type") in {"thinking", "redacted_thinking"}
for b in m["content"]
):
m["_thinking_signature_invalidated"] = True
m["content"] = kept if kept else [{"type": "text", "text": "(tool call removed)"}]
# Pass 2: Rebuild the set of tool_use IDs that survived pass 1, then
# strip tool_result blocks that no longer have any matching tool_use
# anywhere in the conversation.
surviving_tool_use_ids: set = set()
# Strip orphaned tool_use blocks (no matching tool_result follows)
tool_result_ids = set()
for m in result:
if m.get("role") == "assistant" and isinstance(m.get("content"), list):
if m["role"] == "user" and isinstance(m["content"], list):
for block in m["content"]:
if isinstance(block, dict) and block.get("type") == "tool_use":
surviving_tool_use_ids.add(block.get("id"))
if block.get("type") == "tool_result":
tool_result_ids.add(block.get("tool_use_id"))
for m in result:
if m.get("role") != "user" or not isinstance(m.get("content"), list):
continue
new_content = [
b
for b in m["content"]
if not (isinstance(b, dict) and b.get("type") == "tool_result")
or b.get("tool_use_id") in surviving_tool_use_ids
]
if len(new_content) != len(m["content"]):
m["content"] = new_content if new_content else [{"type": "text", "text": "(tool result removed)"}]
if m["role"] == "assistant" and isinstance(m["content"], list):
kept = [
b
for b in m["content"]
if b.get("type") != "tool_use" or b.get("id") in tool_result_ids
]
# If stripping an orphaned tool_use mutated a turn that also carries a
# signed thinking block, that block's Anthropic signature was computed
# against the ORIGINAL (un-stripped) turn content and is now invalid.
# Anthropic rejects the replayed turn with HTTP 400 "thinking blocks in
# the latest assistant message cannot be modified". Flag the turn so
# _manage_thinking_signatures can demote the dead signature instead of
# replaying it verbatim. See hermes-agent: extended-thinking + parallel
# tool batch interrupted mid-flight → non-retryable 400 crash-loop.
if len(kept) != len(m["content"]) and any(
isinstance(b, dict) and b.get("type") in {"thinking", "redacted_thinking"}
for b in m["content"]
):
m["_thinking_signature_invalidated"] = True
m["content"] = kept
if not m["content"]:
m["content"] = [{"type": "text", "text": "(tool call removed)"}]
# Strip orphaned tool_result blocks (no matching tool_use precedes them)
tool_use_ids = set()
for m in result:
if m["role"] == "assistant" and isinstance(m["content"], list):
for block in m["content"]:
if block.get("type") == "tool_use":
tool_use_ids.add(block.get("id"))
for m in result:
if m["role"] == "user" and isinstance(m["content"], list):
m["content"] = [
b
for b in m["content"]
if b.get("type") != "tool_result" or b.get("tool_use_id") in tool_use_ids
]
if not m["content"]:
m["content"] = [{"type": "text", "text": "(tool result removed)"}]
def _merge_consecutive_roles(result: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
-138
View File
@@ -1,138 +0,0 @@
"""Ambient session-accounting context for auxiliary LLM calls.
Auxiliary calls (vision, compression, title generation, web_extract,
session_search, ...) funnel through ``agent.auxiliary_client`` which has no
session handle so their token usage was historically discarded, leaving
dashboard analytics blind to aux model spend (issue #23270).
Instead of threading ``session_db``/``session_id`` parameters through every
aux call site, the agent loop publishes them here (mirroring the Nous Portal
conversation context in ``agent.portal_tags``) and the auxiliary client
records usage at its single response-validation chokepoint.
ContextVar semantics give us the right isolation for free:
* concurrent agents in one process (gateway sessions, delegate subagents)
never see each other's accounting context;
* worker threads spawned via ``tools.thread_context.propagate_context_to_thread``
(MoA fan-out, background review) inherit the parent turn's context;
* asyncio tasks inherit the context of the code that created them.
MoA reference/aggregator slots are explicitly EXCLUDED from recording:
``agent/conversation_loop.py`` already folds MoA advisor usage and cost into
the main loop's ``update_token_counts`` delta, so recording them here would
double-count (see ``_EXCLUDED_TASKS``).
"""
from __future__ import annotations
import logging
from contextvars import ContextVar
from typing import Any, Optional
logger = logging.getLogger(__name__)
# (session_db, session_id) for the active agent turn, or None outside one.
_accounting: ContextVar[Optional[tuple]] = ContextVar(
"aux_accounting_context", default=None
)
# Aux tasks whose usage is already accounted by the main loop — recording
# them here would double-count. MoA advisor/aggregator usage is folded into
# conversation_loop's update_token_counts delta (tokens AND cost).
_EXCLUDED_TASKS = frozenset({"moa_reference", "moa_aggregator"})
def set_accounting_context(session_db: Any, session_id: Optional[str]):
"""Publish the active session's accounting handles for aux usage recording.
Called by the agent loop at turn entry. Returns the ContextVar token so
callers can ``reset_accounting_context(token)`` on turn exit. Publishing
``None`` handles (no DB / no session id) clears the context.
"""
if session_db is None or not session_id:
return _accounting.set(None)
return _accounting.set((session_db, session_id))
def reset_accounting_context(token) -> None:
"""Restore the previous accounting context (pair with ``set_...``)."""
try:
_accounting.reset(token)
except Exception:
_accounting.set(None)
def get_accounting_context() -> Optional[tuple]:
"""Return ``(session_db, session_id)`` for the active turn, or ``None``."""
return _accounting.get()
def record_aux_usage(
response: Any,
task: Optional[str],
*,
provider: Optional[str] = None,
base_url: Optional[str] = None,
) -> None:
"""Record an auxiliary response's token usage against the ambient session.
Called from the auxiliary client's response-validation chokepoint. Strictly
best-effort: any failure is swallowed (accounting must never break an aux
call). No-ops when:
* no accounting context is published (call is outside any agent turn),
* the task is main-loop-accounted (MoA slots see ``_EXCLUDED_TASKS``),
* the response carries no usage object.
The model is read from ``response.model`` (accurate even after the aux
client's provider-fallback chains); *provider*/*base_url* reflect the
originally-resolved route and are best-effort.
"""
try:
if not task or task in _EXCLUDED_TASKS:
return
ctx = _accounting.get()
if ctx is None:
return
session_db, session_id = ctx
raw_usage = getattr(response, "usage", None)
if raw_usage is None:
return
from agent.usage_pricing import estimate_usage_cost, normalize_usage
usage = normalize_usage(raw_usage, provider=provider)
if not (
usage.input_tokens or usage.output_tokens
or usage.cache_read_tokens or usage.cache_write_tokens
or usage.reasoning_tokens
):
return
model = str(getattr(response, "model", "") or "") or "unknown"
estimated_cost = None
try:
cost = estimate_usage_cost(
model, usage, provider=provider, base_url=base_url
)
if cost.amount_usd is not None:
estimated_cost = float(cost.amount_usd)
except Exception:
logger.debug("Aux usage cost estimation failed", exc_info=True)
session_db.record_auxiliary_usage(
session_id,
task,
model=model,
billing_provider=provider,
billing_base_url=base_url,
input_tokens=usage.input_tokens,
output_tokens=usage.output_tokens,
cache_read_tokens=usage.cache_read_tokens,
cache_write_tokens=usage.cache_write_tokens,
reasoning_tokens=usage.reasoning_tokens,
estimated_cost_usd=estimated_cost,
)
except Exception:
logger.debug("Aux usage recording failed (non-fatal)", exc_info=True)
+272 -1883
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File diff suppressed because it is too large Load Diff
+26 -143
View File
@@ -18,13 +18,12 @@ for invariants and PR review criteria.
from __future__ import annotations
import contextlib
import json
import logging
import os
from typing import Any, Dict, List, Optional
from agent.thread_scoped_output import thread_scoped_silence
logger = logging.getLogger(__name__)
@@ -62,11 +61,6 @@ def _resolve_review_runtime(agent: Any) -> Dict[str, Any]:
"api_key": parent_runtime.get("api_key") or None,
"base_url": parent_runtime.get("base_url") or None,
"api_mode": parent_api_mode,
"credential_pool": getattr(agent, "_credential_pool", None),
"request_overrides": dict(getattr(agent, "request_overrides", {}) or {}),
"max_tokens": getattr(agent, "max_tokens", None),
"command": getattr(agent, "acp_command", None),
"args": list(getattr(agent, "acp_args", []) or []),
"routed": False,
}
try:
@@ -94,15 +88,10 @@ def _resolve_review_runtime(agent: Any) -> Dict[str, Any]:
)
return {
"provider": rp.get("provider") or task_provider,
"model": rp.get("model") or task_model,
"model": task_model,
"api_key": rp.get("api_key"),
"base_url": rp.get("base_url"),
"api_mode": rp.get("api_mode"),
"credential_pool": rp.get("credential_pool"),
"request_overrides": dict(rp.get("request_overrides") or {}),
"max_tokens": rp.get("max_output_tokens"),
"command": rp.get("command"),
"args": list(rp.get("args") or []),
"routed": True,
}
except Exception as e:
@@ -459,21 +448,10 @@ def summarize_background_review_actions(
data = json.loads(msg.get("content", "{}"))
except (json.JSONDecodeError, TypeError):
continue
# ``data`` may not be a dict — some memory/skill tool responses in
# older codepaths or wrapper MCP servers return a top-level JSON
# list (e.g. ``[{"success": true, ...}]``) or a scalar. The original
# isinstance check below silently skips non-dict payloads, which
# is correct, but ``data.get("_change")`` further down can still
# hand back a list and break ``change.get("description", "")``.
# Defensively normalize everything through a dict-typed alias so
# the rest of the function can stay terse without per-call
# ``isinstance`` guards (#59437).
if not isinstance(data, dict) or not data.get("success"):
continue
message = data.get("message", "")
detail = call_details.get(tcid) or {}
if not isinstance(detail, dict):
detail = {}
detail = call_details.get(tcid, {})
target = data.get("target", "") or detail.get("target", "")
is_skill = detail.get("tool") == "skill_manage"
@@ -501,30 +479,12 @@ def summarize_background_review_actions(
content = detail.get("content", "")
old_text = detail.get("old_text", "")
skill_name = detail.get("name", "")
# ``operations`` may be anything callable put into the JSON
# arguments. Anything non-iterable that isn't a list[str]
# of dicts becomes unusable here, so coerce defensively.
ops_raw = detail.get("operations")
operations: list = (
ops_raw if isinstance(ops_raw, list) else []
)
operations = detail.get("operations") or []
max_preview = 120
if is_skill:
# ``_change`` is a free-form dict the skill tool leaves in
# the response. Older / wrapper MCP backends return it
# as a list, an int, or a JSON-shaped scalar — normalize
# to a dict so the .get() calls downstream don't
# AttributeError (#59437).
change_raw = data.get("_change")
change: dict = (
change_raw if isinstance(change_raw, dict) else {}
)
old_string = (
change.get("old", "") or detail.get("old_string", "")
)
new_string = (
change.get("new", "") or detail.get("new_string", "")
)
change = data.get("_change", {})
old_string = change.get("old", "") or detail.get("old_string", "")
new_string = change.get("new", "") or detail.get("new_string", "")
description = change.get("description", "")
if action == "patch" and (old_string or new_string):
old_preview = old_string[:80].replace("\n", " ") + (
@@ -545,13 +505,7 @@ def summarize_background_review_actions(
actions.append(f"📝 {message}" if message else f"Skill {action}")
elif operations:
for op in operations:
# Each element must be a dict-of-fields; some
# legacy codepaths serialize the entry as a bare
# string and the message dict doesn't exist. Skip
# non-dict items defensively — they have no
# actionable fields anyway (#59437).
if not isinstance(op, dict):
continue
op = op or {}
op_act = op.get("action", "")
op_content = (op.get("content") or "")
op_old = (op.get("old_text") or "")
@@ -648,15 +602,9 @@ def _run_review_in_thread(
review_agent = None
review_messages: List[Dict] = []
try:
# Silence stdout/stderr for THIS worker thread only. A process-global
# ``contextlib.redirect_stdout(devnull)`` here would also blank
# ``sys.stdout``/``sys.stderr`` for every other thread — including a
# gateway event-loop thread driving a Telegram long-poll — for the full
# duration of the review (tens of seconds), swallowing their console
# output (#55769 / #55925). ``thread_scoped_silence`` routes only this
# thread's writes to devnull and leaves all other threads on the real
# streams.
with thread_scoped_silence():
with open(os.devnull, "w", encoding="utf-8") as _devnull, \
contextlib.redirect_stdout(_devnull), \
contextlib.redirect_stderr(_devnull):
# Inherit the parent agent's live runtime (provider, model,
# base_url, api_key, api_mode) so the fork uses the exact
# same credentials the main turn is using. Without this,
@@ -690,25 +638,6 @@ def _run_review_in_thread(
# Match parent's toolset config so ``tools[]`` is byte-identical
# in the request body — Anthropic's cache key includes it.
# (The runtime whitelist below still restricts dispatch.)
_fork_kwargs: Dict[str, Any] = {}
if isinstance(_rt.get("max_tokens"), int):
_fork_kwargs["max_tokens"] = _rt["max_tokens"]
if isinstance(_rt.get("command"), str) and _rt["command"]:
_fork_kwargs["acp_command"] = _rt["command"]
_fork_kwargs["acp_args"] = _rt.get("args") or []
# Match parent's reasoning config so the fork's ``thinking`` /
# ``output_config`` are byte-identical in the request body —
# Anthropic's cache key is namespaced by ``thinking`` presence.
# Same-model path only: when routed to a different aux model the
# cache is cold regardless (parity buys nothing) and the parent's
# effort vocabulary may not be valid for the routed model/provider
# (e.g. OpenRouter ``extra_body.reasoning.effort`` is forwarded
# unclamped; codex_responses passes ``max``/``ultra`` through
# unmapped except on gpt-5.6/xAI). Let the routed fork use
# provider defaults — matching the ``not _routed`` gate on
# _cached_system_prompt below.
if not _routed:
_fork_kwargs["reasoning_config"] = getattr(agent, "reasoning_config", None)
review_agent = AIAgent(
model=_rt.get("model") or agent.model,
max_iterations=16,
@@ -718,13 +647,11 @@ def _run_review_in_thread(
api_mode=_rt.get("api_mode"),
base_url=_rt.get("base_url") or None,
api_key=_rt.get("api_key") or None,
credential_pool=_rt.get("credential_pool"),
request_overrides=_rt.get("request_overrides") or {},
credential_pool=getattr(agent, "_credential_pool", None),
parent_session_id=agent.session_id,
enabled_toolsets=getattr(agent, "enabled_toolsets", None),
disabled_toolsets=getattr(agent, "disabled_toolsets", None),
skip_memory=True,
**_fork_kwargs,
)
review_agent._memory_write_origin = "background_review"
review_agent._memory_write_context = "background_review"
@@ -740,20 +667,6 @@ def _run_review_in_thread(
review_agent._user_profile_enabled = agent._user_profile_enabled
review_agent._memory_nudge_interval = 0
review_agent._skill_nudge_interval = 0
# PERSISTENCE ISOLATION (the curator-takeover root cause): the fork
# shares the parent's session_id (set below, for prompt-cache
# warmth), so without this it would write its harness turn ("Review
# the conversation above and update the skill library…") + its own
# response straight into the user's REAL session in state.db. On the
# user's next live turn the agent re-reads that injected user message
# as a standing instruction and "becomes" the curator, refusing the
# actual task. _persist_disabled hard-stops every DB write/lazy-open
# path (_flush_messages_to_session_db, _ensure_db_session,
# _get_session_db_for_recall); the review writes only to the skill
# and memory stores via its tools, which is all it needs.
review_agent._persist_disabled = True
review_agent._session_db = None
review_agent._session_json_enabled = False
# Suppress all status/warning emits from the fork so the
# user only sees the final successful-action summary.
# Without this, mid-review "Iteration budget exhausted",
@@ -812,17 +725,10 @@ def _run_review_in_thread(
clear_thread_tool_whitelist,
)
# Gate the built-in memory tool on the profile's memory_enabled flag.
# Hardcoding ["memory", "skills"] granted the review LLM the MEMORY.md
# read/write tool even when a profile set memory_enabled: false,
# contaminating a memory-disabled profile (#54937 layer 2).
review_toolsets = ["skills"]
if review_agent._memory_enabled or review_agent._user_profile_enabled:
review_toolsets.insert(0, "memory")
review_whitelist = {
t["function"]["name"]
for t in get_tool_definitions(
enabled_toolsets=review_toolsets,
enabled_toolsets=["memory", "skills"],
quiet_mode=True,
)
}
@@ -833,13 +739,6 @@ def _run_review_in_thread(
"{tool_name}. Only memory/skill tools are allowed."
),
)
try:
from tools.skill_manager_tool import _reset_background_review_read_marks
_reset_background_review_read_marks()
except Exception:
pass
try:
# Routed to a different model -> replay a digest (cache is cold
# on that model anyway, so minimise cold-written tokens). Same
@@ -885,29 +784,11 @@ def _run_review_in_thread(
# the review agent inherits that history and would otherwise
# re-surface stale "created"/"updated" messages from the prior
# conversation as if they just happened (issue #14944).
#
# Wrapped in try/except: a buggy/legacy tool response shape
# (e.g. ``_change`` returned as a list instead of a dict, #59437)
# must NOT take down the whole review with an AttributeError,
# since the caller's outer except logs only "Background
# memory/skill review failed" and discards every successful
# action the fork DID complete before the crash. Coerce an
# exception into an empty actions list so the partial valid
# actions from earlier in the messages are returned instead.
try:
actions = summarize_background_review_actions(
review_messages,
messages_snapshot,
notification_mode=getattr(agent, "memory_notifications", "on"),
)
except Exception as e:
logger.warning(
"summarize_background_review_actions returned partial results "
"after exception (treating as empty); suppressing AttributeError "
"that previously aborted the entire review (#59437): %s",
e,
)
actions = []
actions = summarize_background_review_actions(
review_messages,
messages_snapshot,
notification_mode=getattr(agent, "memory_notifications", "on"),
)
if actions:
summary = " · ".join(dict.fromkeys(actions))
@@ -927,14 +808,16 @@ def _run_review_in_thread(
logger.warning("Background memory/skill review failed: %s", e)
agent._emit_auxiliary_failure("background review", e)
finally:
# Safety-net cleanup for the exception path. Normal completion already
# shut down inside the thread-scoped silence above. Re-enter the
# thread-scoped silence here so teardown output (Honcho flush, Hindsight
# sync, background thread joins) stays quiet even on the exception path,
# without blanking other threads' streams.
# Safety-net cleanup for the exception path. Normal
# completion already shut down inside redirect_stdout above.
# Re-open devnull here so any teardown output (Honcho flush,
# Hindsight sync, background thread joins) stays silent even
# on the exception path where redirect_stdout already exited.
if review_agent is not None:
try:
with thread_scoped_silence():
with open(os.devnull, "w", encoding="utf-8") as _fn, \
contextlib.redirect_stdout(_fn), \
contextlib.redirect_stderr(_fn):
try:
review_agent.shutdown_memory_provider()
except Exception:
+1 -10
View File
@@ -528,19 +528,10 @@ def _convert_content_to_converse(content) -> List[Dict]:
mime_part = header[5:].split(";")[0]
if mime_part:
media_type = mime_part
# Decode base64 to raw bytes — boto3 re-encodes at the
# wire layer, so passing the base64 string directly
# results in double-encoding and Bedrock rejects it with
# "Failed to sanitize image". Ref: #33317.
import base64
try:
raw_bytes = base64.b64decode(data)
except Exception:
raw_bytes = data.encode("utf-8")
blocks.append({
"image": {
"format": media_type.split("/")[-1] if "/" in media_type else "jpeg",
"source": {"bytes": raw_bytes},
"source": {"bytes": data},
}
})
else:
-148
View File
@@ -1,148 +0,0 @@
"""Bounded reads of HTTP error response bodies.
When a provider returns a non-OK status on a *streaming* request, Hermes reads
the response body to build a useful diagnostic error. A bare ``response.read()``
on a streaming httpx response is unbounded in two dangerous ways:
1. A server can declare (or stream) an arbitrarily large body, so the read can
balloon memory.
2. A server can open the body and then stall forever (no ``Content-Length``,
no further bytes), so the read hangs the agent indefinitely.
Both are realistic against a misbehaving proxy, a hijacked endpoint, or a
provider having a bad day. The diagnostic body is only ever shown to the user
truncated to a few hundred characters, so reading megabytes or blocking
forever buys nothing.
``read_streaming_error_body`` bounds the read to a byte cap and enforces a
hard wall-clock deadline, returning the decoded text snippet. Callers pass the
returned text into their existing error builders instead of touching
``response.text`` (which would be unbounded / would raise after a partial
stream read).
A subtlety the implementation must respect: ``httpx``'s ``iter_bytes()`` blocks
*inside* the C/socket read while waiting for the next chunk. A wall-clock check
placed only between yielded chunks cannot interrupt a server that opens the
body and then stalls mid-chunk control never returns to Python until httpx's
own (often 30s+) read timeout fires. To guarantee a bounded stop regardless of
socket behavior, the read runs on a daemon worker thread and the caller waits
on it with a hard deadline; on timeout we close the response (which unblocks /
cancels the read) and return whatever partial bytes were collected.
Ported and adapted from openclaw/openclaw#95108 ("bound Anthropic error
streams"), generalized to cover Hermes's three streaming error-body sites
(native Gemini, Gemini Cloud Code, Antigravity Cloud Code).
"""
from __future__ import annotations
import logging
import threading
from typing import List, Optional
import httpx
logger = logging.getLogger(__name__)
# Defaults chosen to comfortably hold any real provider error envelope (Google
# RPC error JSON, Anthropic error JSON) while rejecting pathological bodies.
DEFAULT_ERROR_BODY_MAX_BYTES = 64 * 1024
# Hard wall-clock deadline for the whole bounded read. A streaming error body
# that does not finish within this window is abandoned and the connection is
# closed; we keep whatever partial bytes arrived.
DEFAULT_ERROR_BODY_TIMEOUT_S = 10.0
def read_streaming_error_body(
response: httpx.Response,
*,
max_bytes: int = DEFAULT_ERROR_BODY_MAX_BYTES,
timeout_s: float = DEFAULT_ERROR_BODY_TIMEOUT_S,
) -> str:
"""Read a non-OK streaming response body with a byte cap and a hard deadline.
Returns the decoded body text (UTF-8, errors replaced), truncated to
``max_bytes``. Never raises: any transport error, stall, or oversize
condition is swallowed and the best-effort partial text (or an empty
string) is returned, because this runs on the error path and must not
mask the original HTTP failure with a read error.
The byte cap protects against huge bodies; the wall-clock deadline (enforced
via a worker thread so it can interrupt a socket read that stalls mid-chunk)
protects against bodies that open and then hang.
"""
chunks: List[bytes] = []
state = {"truncated": False}
done = threading.Event()
def _drain() -> None:
total = 0
try:
for chunk in response.iter_bytes():
if not chunk:
continue
remaining = max_bytes - total
if remaining <= 0:
state["truncated"] = True
break
if len(chunk) > remaining:
chunks.append(chunk[:remaining])
total += remaining
state["truncated"] = True
break
chunks.append(chunk)
total += len(chunk)
except Exception as exc: # noqa: BLE001 - error path must not raise
logger.debug("bounded error-body read failed: %s", exc)
finally:
done.set()
worker = threading.Thread(
target=_drain, name="bounded-error-body-read", daemon=True
)
worker.start()
finished = done.wait(timeout=timeout_s)
if not finished:
logger.debug(
"bounded error-body read: hard timeout after %.1fs (%d bytes so far)",
timeout_s,
sum(len(c) for c in chunks),
)
# Closing the response cancels the in-flight socket read, letting the
# worker thread unwind. We do not join (it is a daemon and may be
# blocked in C); the partial `chunks` collected so far are returned.
_safe_close(response)
else:
_safe_close(response)
if state["truncated"]:
logger.debug(
"bounded error-body read: capped at %d bytes (max=%d)",
sum(len(c) for c in chunks),
max_bytes,
)
return b"".join(chunks).decode("utf-8", errors="replace")
def _safe_close(response: httpx.Response) -> None:
try:
response.close()
except Exception: # noqa: BLE001
pass
def read_error_body_or_default(
response: httpx.Response,
*,
max_bytes: int = DEFAULT_ERROR_BODY_MAX_BYTES,
timeout_s: float = DEFAULT_ERROR_BODY_TIMEOUT_S,
) -> Optional[str]:
"""Like ``read_streaming_error_body`` but returns ``None`` on empty body.
Convenience for callers that distinguish "no body" from "empty string".
"""
text = read_streaming_error_body(
response, max_bytes=max_bytes, timeout_s=timeout_s
)
return text or None
File diff suppressed because it is too large Load Diff
+20 -151
View File
@@ -288,13 +288,6 @@ _RESPONSES_BUILTIN_TOOL_TYPES = {
_RESPONSE_MESSAGE_STATUSES = {"completed", "incomplete", "in_progress"}
# The Responses API rejects input[].id longer than this with a non-retryable
# HTTP 400 ("string too long"). Codex-issued assistant message ids are
# server-assigned base64 blobs that can run 400+ chars, while Hermes-minted
# ids (msg_...) stay well under this cap and are worth keeping for
# prefix-cache hits. Drop only the oversized ones on replay.
_MAX_RESPONSES_ITEM_ID_LENGTH = 64
def _normalize_responses_message_status(value: Any, *, default: str = "completed") -> str:
"""Normalize a Responses assistant message status for replay.
@@ -314,7 +307,6 @@ def _chat_messages_to_responses_input(
messages: List[Dict[str, Any]],
*,
is_xai_responses: bool = False,
is_github_responses: bool = False,
replay_encrypted_reasoning: bool = True,
current_issuer_kind: Optional[str] = None,
) -> List[Dict[str, Any]]:
@@ -339,16 +331,6 @@ def _chat_messages_to_responses_input(
items from the conversation history and threads ``replay_enabled=False``
through this converter so subsequent turns send no reasoning items.
``is_github_responses`` drops the ``id`` field from replayed
``codex_message_items`` regardless of length. The Copilot backend
(api.githubcopilot.com/responses) binds these ids to a specific
backend "connection" credential-pool rotation, a gateway restart,
or routine load-balancer churn between turns all invalidate it and
rejects a stale id with HTTP 401 "input item ID does not belong to
this connection" even for short ids (see #32716). ``phase``/
``status``/``content`` are still replayed; only ``id`` is unsafe to
reuse across a Copilot connection.
``current_issuer_kind`` enables a per-item cross-issuer guard. The
Responses API's ``encrypted_content`` blob is decryptable only by the
endpoint that minted it replaying a Codex-issued blob against xAI
@@ -481,14 +463,8 @@ def _chat_messages_to_responses_input(
"content": normalized_content_parts,
}
item_id = raw_item.get("id")
if (
not is_github_responses
and isinstance(item_id, str)
and item_id.strip()
):
stripped_id = item_id.strip()
if len(stripped_id) <= _MAX_RESPONSES_ITEM_ID_LENGTH:
replay_item["id"] = stripped_id
if isinstance(item_id, str) and item_id.strip():
replay_item["id"] = item_id.strip()
phase = raw_item.get("phase")
if isinstance(phase, str) and phase.strip():
replay_item["phase"] = phase.strip()
@@ -600,11 +576,7 @@ def _chat_messages_to_responses_input(
# Input preflight / validation
# ---------------------------------------------------------------------------
def _preflight_codex_input_items(
raw_items: Any,
*,
is_github_responses: bool = False,
) -> List[Dict[str, Any]]:
def _preflight_codex_input_items(raw_items: Any) -> List[Dict[str, Any]]:
if not isinstance(raw_items, list):
raise ValueError("Codex Responses input must be a list of input items.")
@@ -745,14 +717,8 @@ def _preflight_codex_input_items(
"content": normalized_content,
}
item_id = item.get("id")
if (
not is_github_responses
and isinstance(item_id, str)
and item_id.strip()
):
stripped_id = item_id.strip()
if len(stripped_id) <= _MAX_RESPONSES_ITEM_ID_LENGTH:
normalized_item["id"] = stripped_id
if isinstance(item_id, str) and item_id.strip():
normalized_item["id"] = item_id.strip()
phase = item.get("phase")
if isinstance(phase, str) and phase.strip():
normalized_item["phase"] = phase.strip()
@@ -824,7 +790,6 @@ def _preflight_codex_api_kwargs(
api_kwargs: Any,
*,
allow_stream: bool = False,
is_github_responses: bool = False,
) -> Dict[str, Any]:
if not isinstance(api_kwargs, dict):
raise ValueError("Codex Responses request must be a dict.")
@@ -846,10 +811,7 @@ def _preflight_codex_api_kwargs(
instructions = str(instructions)
instructions = instructions.strip() or DEFAULT_AGENT_IDENTITY
normalized_input = _preflight_codex_input_items(
api_kwargs.get("input"),
is_github_responses=is_github_responses,
)
normalized_input = _preflight_codex_input_items(api_kwargs.get("input"))
tools = api_kwargs.get("tools")
normalized_tools = None
@@ -1118,22 +1080,6 @@ def _normalize_codex_response(
differs from the one that minted the encrypted_content blob and drop
the item instead of triggering HTTP 400 invalid_encrypted_content.
"""
response_status = getattr(response, "status", None)
if isinstance(response_status, str):
response_status = response_status.strip().lower()
else:
response_status = None
incomplete_details = getattr(response, "incomplete_details", None)
incomplete_reason = ""
if isinstance(incomplete_details, dict):
incomplete_reason = str(incomplete_details.get("reason") or "").strip().lower()
elif incomplete_details is not None:
incomplete_reason = str(getattr(incomplete_details, "reason", "") or "").strip().lower()
response_incomplete_content_filter = (
response_status == "incomplete" and incomplete_reason == "content_filter"
)
output = getattr(response, "output", None)
if not isinstance(output, list) or not output:
# The Codex backend can return empty output when the answer was
@@ -1150,18 +1096,15 @@ def _normalize_codex_response(
content=[SimpleNamespace(type="output_text", text=out_text.strip())],
)]
response.output = output
elif response_incomplete_content_filter:
# This is a deterministic provider safety block, not a partial
# answer. Synthesize an empty message so finish_reason below becomes
# content_filter and the conversation loop can fallback/surface it
# instead of burning three continuation attempts.
output = [SimpleNamespace(
type="message", role="assistant", status="completed", content=[]
)]
response.output = output
else:
raise RuntimeError("Responses API returned no output items")
response_status = getattr(response, "status", None)
if isinstance(response_status, str):
response_status = response_status.strip().lower()
else:
response_status = None
if response_status in {"failed", "cancelled"}:
error_obj = getattr(response, "error", None)
error_msg = _format_responses_error(error_obj, response_status)
@@ -1223,28 +1166,15 @@ def _normalize_codex_response(
if item_type == "message":
item_phase = getattr(item, "phase", None)
normalized_phase = None
is_commentary_phase = False
if isinstance(item_phase, str):
normalized_phase = item_phase.strip().lower()
if normalized_phase in {"commentary", "analysis"}:
saw_commentary_phase = True
is_commentary_phase = True
elif normalized_phase in {"final_answer", "final"}:
saw_final_answer_phase = True
message_text = _extract_responses_message_text(item)
if message_text:
# Responses ``commentary``/``analysis`` phase text is mid-turn
# preamble/progress narration, never the turn's final answer
# (Codex CLI excludes it from last-message extraction; issues
# #24933 / #41293). Keep it out of assistant content so it
# can't be concatenated into — or leak as — the final response,
# but surface it through the reasoning channel so the CLI/
# gateway display it like thinking text. The exact message
# item is still preserved below for replay/cache continuity.
if is_commentary_phase:
reasoning_parts.append(message_text)
else:
content_parts.append(message_text)
content_parts.append(message_text)
raw_message_item: Dict[str, Any] = {
"type": "message",
"role": "assistant",
@@ -1339,11 +1269,7 @@ def _normalize_codex_response(
))
final_text = "\n".join([p for p in content_parts if p]).strip()
if (
not final_text
and hasattr(response, "output_text")
and not (saw_commentary_phase and not saw_final_answer_phase)
):
if not final_text and hasattr(response, "output_text"):
out_text = getattr(response, "output_text", "")
if isinstance(out_text, str):
final_text = out_text.strip()
@@ -1379,45 +1305,6 @@ def _normalize_codex_response(
# so the model keeps its chain-of-thought on the retry.
final_text = ""
# ── Reasoning-channel answer salvage (xAI grok) ──────────────
# grok-4.x on the xAI /v1/responses surface sometimes emits its final
# answer inside the reasoning item instead of as a ``message`` output
# item, marking where the answer starts with grok's internal
# ``<response>`` delimiter. Without salvage, the reasoning-only rule
# below classifies the turn ``incomplete`` — and because reasoning
# items on this surface carry no ``encrypted_content``, the interim
# message replays as nothing, so every continuation request is
# byte-identical to the one that just failed. The turn burns its 3
# retries and dies with "Codex response remained incomplete after 3
# continuation attempts" even though the answer was produced on the
# first attempt. Observed live with grok-4.20 on xai-oauth
# (2026-07-13). Promote the delimited tail to assistant content and
# keep the untagged prefix as thinking text.
if (
issuer_kind == "xai_responses"
and not final_text
and not tool_calls
and reasoning_parts
):
joined_reasoning = "\n\n".join(reasoning_parts)
marker = joined_reasoning.rfind("<response>")
if marker != -1:
salvaged = joined_reasoning[marker + len("<response>"):]
closing = salvaged.find("</response>")
if closing != -1:
salvaged = salvaged[:closing]
salvaged = salvaged.strip()
if salvaged:
logger.warning(
"xAI response delivered its final answer inside the "
"reasoning channel (<response> delimiter); promoting "
"%d chars to assistant content.",
len(salvaged),
)
final_text = salvaged
reasoning_prefix = joined_reasoning[:marker].strip()
reasoning_parts = [reasoning_prefix] if reasoning_prefix else []
assistant_message = SimpleNamespace(
content=final_text,
tool_calls=tool_calls,
@@ -1430,8 +1317,6 @@ def _normalize_codex_response(
if tool_calls:
finish_reason = "tool_calls"
elif response_incomplete_content_filter:
finish_reason = "content_filter"
elif leaked_tool_call_text:
finish_reason = "incomplete"
elif saw_streaming_or_item_incomplete:
@@ -1440,28 +1325,12 @@ def _normalize_codex_response(
finish_reason = "incomplete"
elif (reasoning_items_raw or reasoning_parts or saw_reasoning_item) and not final_text:
# Response contains only reasoning (encrypted thinking state and/or
# human-readable summary) with no visible content or tool calls.
#
# For the specially-handled backends (Codex, xAI, GitHub/Copilot),
# reasoning-only with status="completed" means "the model is still
# thinking and needs another turn" — treat it as incomplete so the
# Codex continuation path retries instead of falling into the
# empty-content retry loop.
#
# For all other backends (other:<base_url>, etc.), trust the provider's
# own response.status signal. When status == "completed" and no items
# are queued/in_progress/incomplete, reasoning alone is a valid final
# state — forcing "incomplete" causes multi-minute stalls as the
# continuation path re-issues calls (3 retries × up to 240s each).
# See https://github.com/NousResearch/hermes-agent/issues/64434
if response_status == "completed" and issuer_kind not in (
"codex_backend",
"xai_responses",
"github_responses",
):
finish_reason = "stop"
else:
finish_reason = "incomplete"
# human-readable summary) with no visible content or tool calls. The
# model is still thinking and needs another turn to produce the actual
# answer. Marking this as "stop" would send it into the empty-content
# retry loop which burns retries then fails — treat it as incomplete so
# the Codex continuation path handles it correctly.
finish_reason = "incomplete"
else:
finish_reason = "stop"
return assistant_message, finish_reason
+82 -600
View File
@@ -16,16 +16,70 @@ compatibility.
from __future__ import annotations
import json
import logging
import os
import time
from types import SimpleNamespace
from typing import Any, Callable, Dict, List
from typing import Any, Dict, List
logger = logging.getLogger(__name__)
def _codex_note_to_tool_progress(note: dict) -> tuple[str, str, dict] | None:
"""Map a Codex app-server ``item/started`` notification to a Hermes
tool-progress event ``(tool_name, preview, args)``.
The Codex app-server runtime processes ``item/started`` notifications for
command execution, file changes, and MCP/dynamic tool calls, but never
surfaced them as Hermes tool-progress events so gateways (Telegram, etc.)
showed no verbose "running X" breadcrumbs on this route while every other
provider did (#38835). Returns None for items that aren't tool-shaped.
"""
if not isinstance(note, dict) or note.get("method") != "item/started":
return None
params = note.get("params") or {}
item = params.get("item") or {}
if not isinstance(item, dict):
return None
item_type = item.get("type") or ""
if item_type == "commandExecution":
command = item.get("command") or ""
return "exec_command", command, {"command": command, "cwd": item.get("cwd") or ""}
if item_type == "fileChange":
changes = item.get("changes") or []
preview = "file changes"
if isinstance(changes, list) and changes:
paths = [
str(change.get("path"))
for change in changes
if isinstance(change, dict) and change.get("path")
]
if paths:
preview = ", ".join(paths[:3])
if len(paths) > 3:
preview += f", +{len(paths) - 3} more"
return "apply_patch", preview, {"changes": changes}
if item_type == "mcpToolCall":
server = item.get("server") or "mcp"
tool = item.get("tool") or "unknown"
args = item.get("arguments") or {}
if not isinstance(args, dict):
args = {"arguments": args}
return f"mcp.{server}.{tool}", tool, args
if item_type == "dynamicToolCall":
tool = item.get("tool") or "unknown"
args = item.get("arguments") or {}
if not isinstance(args, dict):
args = {"arguments": args}
return tool, tool, args
return None
def _coerce_usage_int(value: Any) -> int:
if isinstance(value, bool):
return 0
@@ -59,15 +113,6 @@ def _record_codex_app_server_usage(agent, turn) -> dict[str, Any]:
usage = getattr(turn, "token_usage_last", None)
if not isinstance(usage, dict) or not usage:
compressor = getattr(agent, "context_compressor", None)
if (
compressor is not None
and getattr(compressor, "awaiting_real_usage_after_compression", False)
):
# No usage means this turn cannot adjudicate the pending compaction.
# Consume the marker so a later unrelated reading is not charged to
# it and preflight deferral cannot stay latched indefinitely.
compressor.update_from_response({})
if agent._session_db and agent.session_id:
try:
if not agent._session_db_created:
@@ -75,9 +120,6 @@ def _record_codex_app_server_usage(agent, turn) -> dict[str, Any]:
agent._session_db.update_token_counts(
agent.session_id,
model=agent.model,
billing_provider=agent.provider,
billing_base_url=agent.base_url,
billing_mode="subscription_included",
api_call_count=1,
)
except Exception as exc:
@@ -186,390 +228,6 @@ def _record_codex_app_server_usage(agent, turn) -> dict[str, Any]:
}
def _record_codex_app_server_compaction(
agent,
turn,
*,
approx_tokens: int | None = None,
force: bool = False,
) -> bool:
"""Record a Codex-native context compaction boundary in Hermes state.
The app-server owns the compacted thread context, so Hermes should not
rewrite local transcript rows here; state.db records the boundary via the
session event/usage counters while preserving the visible transcript.
"""
if not force and not getattr(turn, "compacted", False):
return False
thread_id = getattr(turn, "thread_id", None) or ""
turn_id = getattr(turn, "turn_id", None) or ""
logger.info(
"codex app-server compaction observed: session=%s thread=%s turn=%s force=%s",
getattr(agent, "session_id", None) or "none",
thread_id,
turn_id,
force,
)
if not force:
try:
from agent.conversation_compression import COMPACTION_STATUS
agent._emit_status(COMPACTION_STATUS)
except Exception:
pass
compressor = getattr(agent, "context_compressor", None)
if compressor is not None:
compressor.compression_count = getattr(
compressor, "compression_count", 0
) + 1
compressor.last_compression_rough_tokens = approx_tokens or 0
# The app server has already completed a real compaction boundary. Its
# usage update (when supplied) is therefore the same real-vs-real
# effectiveness verdict used by the normal compression path.
record_boundary = getattr(
type(compressor), "record_completed_compaction", None
)
if callable(record_boundary):
# Codex owns this summary. A prior Hermes deterministic-fallback
# flag must not leak into the native boundary's quality verdict.
record_boundary(compressor, used_fallback=False)
elif hasattr(compressor, "_verify_compaction_cleared_threshold"):
compressor._verify_compaction_cleared_threshold = True
if not getattr(turn, "token_usage_last", None):
compressor.last_prompt_tokens = -1
compressor.last_completion_tokens = 0
compressor.awaiting_real_usage_after_compression = True
agent._last_compaction_in_place = False
try:
if getattr(agent, "event_callback", None):
agent.event_callback(
"session:compress",
{
"platform": getattr(agent, "platform", None) or "",
"session_id": getattr(agent, "session_id", None) or "",
"old_session_id": "",
"in_place": False,
"compression_count": getattr(
compressor, "compression_count", 0
)
if compressor is not None
else 0,
"runtime": "codex_app_server",
"thread_id": thread_id,
"turn_id": turn_id,
},
)
except Exception:
logger.debug("event_callback error on codex session:compress", exc_info=True)
return True
# ---------------------------------------------------------------------------
# Codex app-server → Hermes UI bridge (#33200)
#
# The codex_app_server runtime hands the entire turn to a subprocess and
# bypasses the normal Hermes tool loop. Without this bridge gateway
# adapters (Discord, Telegram, TUI) never see live tool-progress bubbles
# or interim assistant commentary while codex is working — the user just
# stares at a quiet channel until the final answer lands. The bridge
# translates raw codex JSON-RPC notifications into the same three agent
# callbacks the standard runtime fires:
# - tool_progress_callback("tool.started"|"tool.completed", name, ...)
# - _fire_stream_delta(text) for streaming agentMessage chunks
# - _emit_interim_assistant_message({...}) for completed agentMessages
# ---------------------------------------------------------------------------
# Codex item types that map to a Hermes tool_call in the projector (and
# therefore deserve a tool_progress bubble pair). The projector lives in
# agent/transports/codex_event_projector.py — keep these in sync so the
# tool name shown in the UI matches the name recorded in messages.
# webSearch is codex's built-in web search tool — it has no projector
# entry (codex handles it internally) but still deserves a bubble.
_CODEX_TOOL_ITEM_TYPES = frozenset(
{"commandExecution", "fileChange", "mcpToolCall", "dynamicToolCall", "webSearch"}
)
# Internal MCP server that wraps Hermes' native tools for codex. When
# codex calls back through it, the inner dispatch runs in a SEPARATE
# hermes-tools-mcp-server subprocess that has no access to the parent
# agent's tool_progress_callback — so the inner call can never surface
# its own native progress event. The codex-level mcpToolCall event IS
# the display event for those calls; we strip the mcp.hermes-tools.*
# namespacing and emit the bare tool name (web_search, browser_navigate,
# vision_analyze, ...) since the user thinks of these as Hermes tools,
# not as MCP calls.
_INTERNAL_MCP_SERVER = "hermes-tools"
def _codex_item_to_tool_name(item: dict) -> str:
"""Synthetic Hermes tool name for a codex item. Mirrors
CodexEventProjector so the progress bubble and the projected
tool_calls entry use the same identifier."""
item_type = item.get("type") or ""
if item_type == "commandExecution":
return "exec_command"
if item_type == "fileChange":
return "apply_patch"
if item_type == "mcpToolCall":
server = item.get("server") or "mcp"
tool = item.get("tool") or "unknown"
if server == _INTERNAL_MCP_SERVER:
return tool
return f"mcp.{server}.{tool}"
if item_type == "dynamicToolCall":
return item.get("tool") or "dynamic"
if item_type == "webSearch":
return "web_search"
return item_type or "unknown"
def _codex_item_to_args(item: dict) -> dict:
"""Args dict surfaced to tool_progress_callback("tool.started", ...).
Mirrors the projector's _project_command / _project_file_change /
_project_mcp_tool_call / _project_dynamic_tool_call shapes."""
item_type = item.get("type") or ""
if item_type == "commandExecution":
return {"command": item.get("command") or "",
"cwd": item.get("cwd") or ""}
if item_type == "fileChange":
return {"changes": [
{"kind": (c.get("kind") or {}).get("type") or "update",
"path": c.get("path") or ""}
for c in (item.get("changes") or []) if isinstance(c, dict)
]}
if item_type in {"mcpToolCall", "dynamicToolCall"}:
args = item.get("arguments") or {}
return args if isinstance(args, dict) else {"arguments": args}
if item_type == "webSearch":
return {"query": item.get("query") or ""}
return {}
def _codex_item_to_preview(item: dict) -> Any:
"""Short human-readable preview for the tool.started bubble. Returns
None when no useful preview is available (Hermes' UI tolerates None)."""
item_type = item.get("type") or ""
if item_type == "commandExecution":
cmd = item.get("command") or ""
return cmd[:120] if cmd else None
if item_type == "fileChange":
paths = [c.get("path") for c in (item.get("changes") or [])
if isinstance(c, dict) and c.get("path")]
if not paths:
return None
preview = ", ".join(paths[:3])
if len(paths) > 3:
preview += f", +{len(paths) - 3} more"
return preview
if item_type in {"mcpToolCall", "dynamicToolCall"}:
args = item.get("arguments") or {}
if not isinstance(args, dict) or not args:
return None
try:
return json.dumps(args, ensure_ascii=False)[:120]
except (TypeError, ValueError):
return None
if item_type == "webSearch":
query = item.get("query") or ""
return query[:120] if query else None
return None
def _codex_item_completion_payload(item: dict) -> tuple[str, bool]:
"""Return (result_text, is_error) for a completed codex tool item.
Mirrors the projector's tool-result content so the bubble shows the
same outcome string that ends up in the messages list."""
item_type = item.get("type") or ""
if item_type == "commandExecution":
out = item.get("aggregatedOutput") or ""
exit_code = item.get("exitCode")
is_error = bool(exit_code is not None and exit_code != 0)
if is_error:
out = f"[exit {exit_code}]\n{out}"
return out, is_error
if item_type == "fileChange":
status = item.get("status") or "unknown"
n = len(item.get("changes") or [])
return (
f"apply_patch status={status}, {n} change(s)",
status not in {"completed", "applied", "success"},
)
if item_type == "mcpToolCall":
error = item.get("error")
if error:
return (
f"[error] {json.dumps(error, ensure_ascii=False)[:1000]}",
True,
)
result = item.get("result")
return (
json.dumps(result, ensure_ascii=False)[:4000]
if result is not None else "",
False,
)
if item_type == "dynamicToolCall":
content_items = item.get("contentItems") or []
if isinstance(content_items, list) and content_items:
return (
json.dumps(content_items, ensure_ascii=False)[:4000],
not bool(item.get("success", True)),
)
success = item.get("success", True)
return f"success={success}", not bool(success)
return "", False
def make_codex_app_server_event_bridge(agent) -> Callable[[dict], None]:
"""Build an ``on_event`` callback that wires codex app-server JSON-RPC
notifications into Hermes' gateway UI callbacks.
Returns a single-argument callable suitable for
``CodexAppServerSession(on_event=...)``.
Translation map:
* ``item/started`` for tool-shaped items ``tool_progress_callback(
"tool.started", name, preview, args)``
* ``item/completed`` for tool-shaped items ``tool_progress_callback(
"tool.completed", name, None, None, duration=..., is_error=...,
result=...)``
* ``item/agentMessage/delta`` ``_fire_stream_delta(text)`` so chat
adapters can render the assistant's reply as it streams.
* ``item/reasoning/delta`` ``_fire_reasoning_delta(text)``
* ``item/completed`` for ``agentMessage``
``_emit_interim_assistant_message({"role": "assistant",
"content": text})``. The gateway's ``already_streamed`` check
dedupes against any text the stream-delta callback already
rendered for the same message.
All callback invocations are guarded a buggy display callback must
not tear down the codex turn loop. Errors are logged at DEBUG so the
notification stream keeps flowing regardless.
"""
# item_id -> (tool_name, args, started_wall_time). Populated on
# item/started and consumed on item/completed so duration is correct
# even when codex doesn't report durationMs.
started: dict[str, tuple[str, dict, float]] = {}
def _fire_tool_started(item: dict) -> None:
item_id = item.get("id") or ""
name = _codex_item_to_tool_name(item)
args = _codex_item_to_args(item)
if item_id:
started[item_id] = (name, args, time.monotonic())
cb = getattr(agent, "tool_progress_callback", None)
if cb is None:
return
try:
cb("tool.started", name, _codex_item_to_preview(item), args)
except Exception:
logger.debug(
"tool_progress_callback raised on tool.started for %s",
name, exc_info=True,
)
def _fire_tool_completed(item: dict) -> None:
item_id = item.get("id") or ""
name = _codex_item_to_tool_name(item)
prior = started.pop(item_id, None)
# Prefer codex's own durationMs when present so the bubble shows
# exact tool wall-time; fall back to our started timestamp; fall
# back to None if we never saw an item/started (some codex
# versions only emit completed for fast items).
duration: Any = None
codex_ms = item.get("durationMs")
if isinstance(codex_ms, (int, float)) and codex_ms >= 0:
duration = codex_ms / 1000.0
elif prior is not None:
duration = time.monotonic() - prior[2]
result, is_error = _codex_item_completion_payload(item)
cb = getattr(agent, "tool_progress_callback", None)
if cb is None:
return
try:
cb("tool.completed", name, None, None,
duration=duration, is_error=is_error, result=result)
except Exception:
logger.debug(
"tool_progress_callback raised on tool.completed for %s",
name, exc_info=True,
)
def _fire_text_delta(params: dict) -> None:
text = params.get("delta") or params.get("text") or ""
if not isinstance(text, str) or not text:
return
fn = getattr(agent, "_fire_stream_delta", None)
if fn is None:
return
try:
fn(text)
except Exception:
logger.debug("_fire_stream_delta raised", exc_info=True)
def _fire_reasoning_delta(params: dict) -> None:
text = params.get("delta") or params.get("text") or ""
if not isinstance(text, str) or not text:
return
fn = getattr(agent, "_fire_reasoning_delta", None)
if fn is None:
return
try:
fn(text)
except Exception:
logger.debug("_fire_reasoning_delta raised", exc_info=True)
def _fire_agent_message_completed(item: dict) -> None:
text = item.get("text") or ""
if not isinstance(text, str) or not text.strip():
return
# display.show_commentary=false — mid-turn narration stays off the
# visible interim path on this runtime too (same contract as the
# codex_responses commentary channel).
if not getattr(agent, "show_commentary", True):
return
emit = getattr(agent, "_emit_interim_assistant_message", None)
if emit is None:
return
try:
emit({"role": "assistant", "content": text})
except Exception:
logger.debug(
"_emit_interim_assistant_message raised", exc_info=True,
)
def on_event(note: dict) -> None:
if not isinstance(note, dict):
return
method = note.get("method") or ""
params = note.get("params") or {}
if not isinstance(params, dict):
params = {}
if method == "item/agentMessage/delta":
_fire_text_delta(params)
return
if method == "item/reasoning/delta":
_fire_reasoning_delta(params)
return
item = params.get("item")
if not isinstance(item, dict):
return
item_type = item.get("type") or ""
if method == "item/started" and item_type in _CODEX_TOOL_ITEM_TYPES:
_fire_tool_started(item)
return
if method == "item/completed":
if item_type in _CODEX_TOOL_ITEM_TYPES:
_fire_tool_completed(item)
elif item_type == "agentMessage":
_fire_agent_message_completed(item)
return on_event
def run_codex_app_server_turn(
agent,
*,
@@ -586,10 +244,7 @@ def run_codex_app_server_turn(
Called from run_conversation() when agent.api_mode == "codex_app_server".
Returns the same dict shape as the chat_completions path.
"""
from agent.transports.codex_app_server_session import (
CodexAppServerSession,
_ServerRequestRouting,
)
from agent.transports.codex_app_server_session import CodexAppServerSession
# Lazy session: one CodexAppServerSession per AIAgent instance.
# Spawned on first turn, reused across turns, closed at AIAgent
@@ -607,42 +262,26 @@ def run_codex_app_server_turn(
except Exception:
approval_callback = None
# Gateway / cron contexts have no UI to surface codex's approval
# requests through, so codex app-server exec / apply_patch requests
# fail closed (silently decline) by default. When the user has
# explicitly opted out of Hermes approvals — via `approvals.mode: off`
# in config, the /yolo session toggle, or --yolo / HERMES_YOLO_MODE —
# honor that and let codex's own sandbox permission profile
# (~/.codex/config.toml) be the policy gate instead of double-gating
# with a missing Hermes UI. Defaults (manual/smart/unset) preserve the
# current fail-closed behavior — this is a no-op for those users.
auto_approve_requests = False
try:
from tools.approval import is_approval_bypass_active
def _on_codex_event(note: dict) -> None:
# Bridge Codex app-server item/started notifications to Hermes
# tool-progress so gateways show verbose "running X" breadcrumbs
# on this route too (#38835).
progress_callback = getattr(agent, "tool_progress_callback", None)
if progress_callback is None:
return
mapped = _codex_note_to_tool_progress(note)
if mapped is None:
return
tool_name, preview, args = mapped
try:
progress_callback("tool.started", tool_name, preview, args)
except Exception:
logger.debug("codex tool-progress callback raised", exc_info=True)
auto_approve_requests = is_approval_bypass_active()
except Exception:
logger.debug(
"codex app-server: approval-bypass lookup failed; "
"keeping fail-closed default",
exc_info=True,
)
# Bridge codex JSON-RPC notifications (item/started, item/completed,
# item/agentMessage/delta, ...) into Hermes' gateway UI callbacks
# (tool_progress_callback, _fire_stream_delta,
# _emit_interim_assistant_message). Without this, Discord/Telegram
# users see no live tool-progress or interim commentary while
# codex_app_server is running — only the final answer (#33200).
# Supersedes the narrower item/started-only bridge from #38835.
agent._codex_session = CodexAppServerSession(
cwd=cwd,
approval_callback=approval_callback,
request_routing=_ServerRequestRouting(
auto_approve_exec=auto_approve_requests,
auto_approve_apply_patch=auto_approve_requests,
),
on_event=make_codex_app_server_event_bridge(agent),
on_event=_on_codex_event,
)
# NOTE: the user message is ALREADY appended to messages by the
@@ -694,28 +333,6 @@ def run_codex_app_server_turn(
if turn.projected_messages:
messages.extend(turn.projected_messages)
# Persist the newly-projected assistant/tool messages ourselves.
# This path is an early return that bypasses conversation_loop, whose
# normal per-step _persist_session() calls would otherwise flush them.
# The inbound user turn was already flushed at turn start
# (turn_context.py _persist_session), and _flush_messages_to_session_db
# is idempotent via the intrinsic _DB_PERSISTED_MARKER — so this writes
# ONLY the new codex projected rows and does NOT re-write the user turn.
# Keeping the agent as the sole persister lets us return
# agent_persisted=True below, so the gateway skips its own DB write and
# we avoid the #860/#42039 duplicate user-message write (append_message
# is a raw INSERT with no dedup, so a gateway re-write would duplicate
# the already-flushed user turn). See gateway/run.py agent_persisted.
if getattr(agent, "_session_db", None) is not None:
try:
agent._flush_messages_to_session_db(messages)
except Exception:
logger.debug(
"codex app-server projected-message flush failed",
exc_info=True,
)
# Counter ticks for the agent-improvement loop.
# _turns_since_memory and _user_turn_count are ALREADY incremented
# in the run_conversation() pre-loop block (lines ~11793-11817) so we
@@ -726,7 +343,6 @@ def run_codex_app_server_turn(
agent._iters_since_skill = (
getattr(agent, "_iters_since_skill", 0) + turn.tool_iterations
)
_record_codex_app_server_compaction(agent, turn)
usage_result = _record_codex_app_server_usage(agent, turn)
api_calls = 1
@@ -778,18 +394,6 @@ def run_codex_app_server_turn(
"completed": not turn.interrupted and turn.error is None,
"partial": turn.interrupted or turn.error is not None,
"error": turn.error,
# The codex app-server runtime IS an early-return path that bypasses
# conversation_loop, but we flush the projected assistant/tool messages
# ourselves above (see the _flush_messages_to_session_db call after
# messages.extend). The inbound user turn was already flushed at turn
# start (turn_context._persist_session) and the flush dedups via
# _DB_PERSISTED_MARKER, so state.db ends up with each real message
# exactly once and session_search / conversation-distill see the full
# gateway conversation. Report agent_persisted=True so the gateway
# skips its own append_to_transcript DB write — writing again there
# would re-INSERT the already-flushed user turn (append_message has no
# dedup), reintroducing the #860 / #42039 duplicate-write bug.
"agent_persisted": True,
"codex_thread_id": turn.thread_id,
"codex_turn_id": turn.turn_id,
**usage_result,
@@ -834,48 +438,18 @@ def _event_field(event: Any, name: str, default: Any = None) -> Any:
return value if value is not None else default
def _item_field(item: Any, name: str, default: Any = None) -> Any:
"""Field access for nested Response items (attr-style SDK object or dict)."""
value = getattr(item, name, None)
if value is None and isinstance(item, dict):
value = item.get(name, default)
return value if value is not None else default
def _raise_stream_error(event: Any) -> None:
"""Raise a ``_StreamErrorEvent`` from a ``type=error`` SSE frame.
The Responses spec puts the failure details at the top level of the
frame (``{"type": "error", "code": ..., "message": ..., "param": ...}``),
but the official OpenAI SDK and several OpenAI-compatible proxies wrap
them in an HTTP-style nested envelope instead
(``{"type": "error", "error": {"code": ..., "message": ..., "param": ...}}``).
Read the top-level fields first, then fall back to the nested envelope so
the error classifier sees the provider's real code/message (rate-limit vs
context-overflow vs entitlement) rather than the generic placeholder.
Port of anomalyco/opencode#36130.
Imported lazily so this module stays importable from places that don't
pull in ``run_agent`` (e.g. plugin code, doc tools).
"""
from run_agent import _StreamErrorEvent
nested = _event_field(event, "error")
def _error_field(name: str) -> Any:
value = _event_field(event, name)
if value is None and nested is not None:
value = _item_field(nested, name)
return value
raw_message = _error_field("message")
if raw_message is not None and not isinstance(raw_message, str):
raw_message = str(raw_message)
message = (raw_message or "stream emitted error event").strip() or "stream emitted error event"
message = (_event_field(event, "message", "") or "stream emitted error event").strip()
raise _StreamErrorEvent(
message,
code=_error_field("code"),
param=_error_field("param"),
code=_event_field(event, "code"),
param=_event_field(event, "param"),
)
@@ -885,7 +459,6 @@ def _consume_codex_event_stream(
model: str,
on_text_delta=None,
on_reasoning_delta=None,
on_commentary_message=None,
on_first_delta=None,
on_event=None,
interrupt_check=None,
@@ -917,11 +490,7 @@ def _consume_codex_event_stream(
* ``on_text_delta(str)`` fires per ``response.output_text.delta``, suppressed
once a function_call event is seen (so tool-call turns don't bleed text
into the chat).
* ``on_reasoning_delta(str)`` fires per ``response.reasoning.*.delta`` and
``phase=analysis`` message deltas. When no dedicated commentary callback
is supplied, commentary also uses this legacy fallback.
* ``on_commentary_message(str)`` fires once per completed
``phase=commentary`` message, before any following tool item executes.
* ``on_reasoning_delta(str)`` fires per ``response.reasoning.*.delta``.
* ``on_first_delta()`` one-shot, fires on the first text delta only.
* ``on_event(event)`` fires for every event before any other processing.
Used for watchdog activity, debug logging, anything wire-shape-agnostic.
@@ -931,8 +500,6 @@ def _consume_codex_event_stream(
collected_text_deltas: List[str] = []
has_tool_calls = False
first_delta_fired = False
active_message_phase: str | None = None
commentary_text_deltas: List[str] = []
terminal_status: str = "completed"
terminal_usage: Any = None
terminal_response_id: str = None
@@ -966,43 +533,9 @@ def _consume_codex_event_stream(
if event_type == "error":
_raise_stream_error(event)
# Track the phase of the active streamed message item. Codex/Harmony
# ``commentary``/``analysis`` text is mid-turn preamble/progress
# narration, never the final answer. We still collect completed output
# items for replay, but route those deltas to the reasoning callback so
# they display like thinking text instead of assistant content.
if event_type == "response.output_item.added":
item = _event_field(event, "item")
item_type = _item_field(item, "type", "")
if item_type == "message":
phase = _item_field(item, "phase", None)
active_message_phase = phase.strip().lower() if isinstance(phase, str) else None
if active_message_phase == "commentary":
commentary_text_deltas = []
else:
active_message_phase = None
if "function_call" in str(item_type):
has_tool_calls = True
continue
if "output_text.delta" in event_type or event_type == "response.output_text.delta":
delta_text = _event_field(event, "delta", "")
if delta_text and active_message_phase == "commentary":
commentary_text_deltas.append(delta_text)
# Preserve CLI/backward compatibility when no first-class
# commentary consumer is installed.
if on_commentary_message is None and on_reasoning_delta is not None:
try:
on_reasoning_delta(delta_text)
except Exception:
logger.debug("Codex stream on_reasoning_delta raised", exc_info=True)
elif delta_text and active_message_phase == "analysis":
if on_reasoning_delta is not None:
try:
on_reasoning_delta(delta_text)
except Exception:
logger.debug("Codex stream on_reasoning_delta raised", exc_info=True)
elif delta_text:
if delta_text:
collected_text_deltas.append(delta_text)
if not has_tool_calls:
if not first_delta_fired:
@@ -1036,27 +569,6 @@ def _consume_codex_event_stream(
done_item = _event_field(event, "item")
if done_item is not None:
collected_output_items.append(done_item)
done_phase = _item_field(done_item, "phase", None)
done_phase = done_phase.strip().lower() if isinstance(done_phase, str) else None
if done_phase == "commentary" and on_commentary_message is not None:
commentary_text = "".join(commentary_text_deltas).strip()
if not commentary_text:
content_parts = _item_field(done_item, "content", [])
if isinstance(content_parts, list):
commentary_text = "".join(
str(_item_field(part, "text", "") or "")
for part in content_parts
if _item_field(part, "type", "") == "output_text"
).strip()
if commentary_text:
try:
on_commentary_message(commentary_text)
except Exception:
logger.debug(
"Codex stream on_commentary_message raised",
exc_info=True,
)
commentary_text_deltas = []
continue
if event_type in _TERMINAL_EVENT_TYPES:
@@ -1157,14 +669,14 @@ def run_codex_stream(agent, api_kwargs: dict, client: Any = None, on_first_delta
def _on_reasoning_delta(text: str) -> None:
agent._fire_reasoning_delta(text)
def _on_commentary_message(text: str) -> None:
agent._fire_streamed_codex_commentary(text)
def _on_event(event: Any) -> None:
# TTFB watchdog and activity touch — runs once per SSE event.
agent._codex_stream_last_event_ts = time.time()
agent._touch_activity("receiving stream response")
def _interrupt_check() -> bool:
return bool(agent._interrupt_requested)
for attempt in range(max_stream_retries + 1):
if agent._interrupt_requested:
raise InterruptedError("Agent interrupted before Codex stream retry")
@@ -1184,27 +696,6 @@ def run_codex_stream(agent, api_kwargs: dict, client: Any = None, on_first_delta
continue
raise
# Claim the delta sink for THIS attempt (#65991) — parity with the
# chat_completions/anthropic/bedrock paths. If a prior attempt's
# stream is somehow still alive, this claim supersedes it so its
# late deltas are fenced out of the turn; conversely, a newer
# attempt supersedes us and the interrupt_check below stops our
# consumption immediately.
_writer_token = agent._claim_stream_writer()
def _interrupt_or_superseded(_tok=_writer_token) -> bool:
if agent._interrupt_requested:
return True
if not agent._stream_writer_is_current(_tok):
logger.warning(
"Codex streaming attempt superseded by a newer stream; "
"stopping consumption to preserve the single-writer "
"invariant (model=%s).",
api_kwargs.get("model", "unknown"),
)
return True
return False
try:
# Compatibility: some mocks/providers return a concrete response
# instead of an iterable. Pass it straight through.
@@ -1217,17 +708,9 @@ def run_codex_stream(agent, api_kwargs: dict, client: Any = None, on_first_delta
model=api_kwargs.get("model"),
on_text_delta=_on_text_delta,
on_reasoning_delta=_on_reasoning_delta,
on_commentary_message=(
_on_commentary_message
if (
getattr(agent, "interim_assistant_callback", None) is not None
and getattr(agent, "show_commentary", True)
)
else None
),
on_first_delta=on_first_delta,
on_event=_on_event,
interrupt_check=_interrupt_or_superseded,
interrupt_check=_interrupt_check,
)
except (_httpx.RemoteProtocolError, _httpx.ReadTimeout, _httpx.ConnectError, ConnectionError) as exc:
if attempt < max_stream_retries:
@@ -1276,5 +759,4 @@ __all__ = [
"run_codex_stream",
"run_codex_create_stream_fallback",
"_consume_codex_event_stream",
"make_codex_app_server_event_bridge",
]
+1 -45
View File
@@ -56,13 +56,10 @@ import logging
import os
import re
import subprocess
import tempfile
from dataclasses import dataclass
from pathlib import Path
from typing import Any, Optional
from hermes_cli._subprocess_compat import IS_WINDOWS, windows_hide_flags
logger = logging.getLogger("hermes.coding_context")
CODING_TOOLSET = "coding"
@@ -354,29 +351,6 @@ def _coding_mode(config: Optional[dict[str, Any]]) -> str:
return "auto"
def _coding_instructions(config: Optional[dict[str, Any]]) -> str:
"""Standing operator instructions for the coding posture (config).
``agent.coding_instructions`` a string or list of strings appended to the
coding brief as an extra stable system block, so a user can pin project-wide
coding-workflow rules (e.g. "for UI work don't run tsc/lint until I approve;
clean the diff before committing") without editing the shipped brief.
Cache-safe: resolved once per session into the stable system-prompt tier,
like the rest of the posture.
"""
if config is None:
try:
from hermes_cli.config import load_config
config = load_config()
except Exception:
config = {}
raw = ((config or {}).get("agent", {}) or {}).get("coding_instructions", "")
if isinstance(raw, (list, tuple)):
return "\n".join(str(item).strip() for item in raw if str(item).strip())
return str(raw or "").strip()
def _resolve_cwd(cwd: Optional[str | Path]) -> Path:
if cwd:
return Path(cwd).expanduser()
@@ -413,18 +387,10 @@ def _marker_root(cwd: Path) -> Optional[Path]:
"""
current = cwd.resolve()
home = _home()
# Shared world-writable temp roots are never project roots: a stray
# manifest in /tmp (left by any process) must not flip every session
# whose cwd lives under the temp dir into the coding posture. Same
# reasoning as the $HOME skip below.
try:
temp_root = Path(tempfile.gettempdir()).resolve()
except Exception:
temp_root = None
for depth, parent in enumerate([current, *current.parents]):
if depth > 6:
break
if parent == home or (temp_root is not None and parent == temp_root):
if parent == home:
continue
for marker in _PROJECT_MARKERS:
if (parent / marker).exists():
@@ -491,9 +457,6 @@ class RuntimeMode:
# only to steer edit-format guidance toward the model's family — see
# ``_edit_format_line``. Fixed for the session, so cache-safe.
model: Optional[str] = None
# Standing operator instructions (``agent.coding_instructions``), appended
# as an extra stable system block. Empty unless the user configures it.
instructions: str = ""
@property
def kind(self) -> str:
@@ -540,10 +503,6 @@ class RuntimeMode:
workspace = build_coding_workspace_block(self.cwd)
if workspace:
blocks.append(workspace)
# Operator instructions ride their own block so the brief (block 0) stays
# byte-stable and cache-keyed independently of user config.
if self.instructions:
blocks.append(f"Operator instructions (from config):\n{self.instructions}")
return blocks
def compact_skill_categories(self) -> frozenset[str]:
@@ -596,7 +555,6 @@ def resolve_runtime_mode(
cwd=resolved_cwd,
config_mode=mode,
model=model,
instructions=_coding_instructions(config),
)
@@ -689,14 +647,12 @@ def _enabled_mcp_servers(config: Optional[dict[str, Any]]) -> list[str]:
def _git(cwd: Path, *args: str) -> str:
_popen_kwargs = {"creationflags": windows_hide_flags()} if IS_WINDOWS else {}
try:
out = subprocess.run(
["git", "-C", str(cwd), *args],
capture_output=True,
text=True,
timeout=_GIT_TIMEOUT,
**_popen_kwargs,
)
except (OSError, subprocess.SubprocessError):
return ""
-156
View File
@@ -1,156 +0,0 @@
"""Live session context-window breakdown for UI surfaces.
Estimates how the next provider request is composed: system prompt tiers,
tool schemas, and conversation history. Uses the same rough char/4 heuristic
as ``agent.model_metadata.estimate_request_tokens_rough`` so numbers align
with compression thresholds not exact tokenizer counts.
"""
from __future__ import annotations
import json
import re
from typing import Any, Dict, List, Optional, Sequence, Tuple
_SKILLS_BLOCK_RE = re.compile(r"<available_skills>.*?</available_skills>", re.DOTALL)
_SUBAGENT_TOOL_NAMES = frozenset({"delegate_task"})
_CATEGORY_COLORS = {
"system_prompt": "var(--context-usage-system)",
"tool_definitions": "var(--context-usage-tools)",
"rules": "var(--context-usage-rules)",
"skills": "var(--context-usage-skills)",
"mcp": "var(--context-usage-mcp)",
"subagent_definitions": "var(--context-usage-subagents)",
"memory": "var(--context-usage-memory)",
"conversation": "var(--context-usage-conversation)",
}
def _chars_to_tokens(text: str) -> int:
if not text:
return 0
return (len(text) + 3) // 4
def _json_tokens(value: Any) -> int:
if not value:
return 0
return _chars_to_tokens(json.dumps(value, ensure_ascii=False))
def _tool_name(tool: dict) -> str:
fn = tool.get("function") if isinstance(tool, dict) else None
if isinstance(fn, dict):
return str(fn.get("name") or "")
return str(tool.get("name") or "")
def _split_tools(tools: Sequence[dict]) -> Tuple[List[dict], List[dict], List[dict]]:
builtin: List[dict] = []
mcp: List[dict] = []
subagent: List[dict] = []
for tool in tools:
name = _tool_name(tool)
if name.startswith("mcp_"):
mcp.append(tool)
elif name in _SUBAGENT_TOOL_NAMES:
subagent.append(tool)
else:
builtin.append(tool)
return builtin, mcp, subagent
def _memory_blocks(agent: Any) -> Tuple[str, str]:
memory_block = ""
user_block = ""
store = getattr(agent, "_memory_store", None)
if store is None:
return memory_block, user_block
try:
if getattr(agent, "_memory_enabled", True):
memory_block = store.format_for_system_prompt("memory") or ""
if getattr(agent, "_user_profile_enabled", True):
user_block = store.format_for_system_prompt("user") or ""
except Exception:
pass
return memory_block, user_block
def _strip_blocks(text: str, *blocks: str) -> str:
out = text
for block in blocks:
if block:
out = out.replace(block, "")
return out.strip()
def compute_session_context_breakdown(
agent: Any,
messages: Optional[List[dict]] = None,
) -> Dict[str, Any]:
"""Return a Cursor-style context usage breakdown for one live agent."""
from agent.model_metadata import estimate_messages_tokens_rough
from agent.system_prompt import build_system_prompt_parts
parts = build_system_prompt_parts(agent)
stable = parts.get("stable", "") or ""
context = parts.get("context", "") or ""
volatile = parts.get("volatile", "") or ""
skills_match = _SKILLS_BLOCK_RE.search(stable)
skills_index = skills_match.group(0) if skills_match else ""
memory_block, user_block = _memory_blocks(agent)
memory_text = "\n\n".join(part for part in (memory_block, user_block) if part).strip()
system_core = _strip_blocks(stable, skills_index)
system_tail = _strip_blocks(volatile, memory_block, user_block)
system_prompt_text = "\n\n".join(part for part in (system_core, system_tail) if part).strip()
tools = list(getattr(agent, "tools", None) or [])
builtin_tools, mcp_tools, subagent_tools = _split_tools(tools)
conversation_tokens = estimate_messages_tokens_rough(messages or [])
categories = [
("system_prompt", "System prompt", _chars_to_tokens(system_prompt_text)),
("tool_definitions", "Tool definitions", _json_tokens(builtin_tools)),
("rules", "Rules", _chars_to_tokens(context)),
("skills", "Skills", _chars_to_tokens(skills_index)),
("mcp", "MCP", _json_tokens(mcp_tools)),
("subagent_definitions", "Subagent definitions", _json_tokens(subagent_tools)),
("memory", "Memory", _chars_to_tokens(memory_text)),
("conversation", "Conversation", conversation_tokens),
]
estimated_total = sum(tokens for _, _, tokens in categories)
comp = getattr(agent, "context_compressor", None)
context_max = int(getattr(comp, "context_length", 0) or 0) if comp else 0
measured_used = int(getattr(comp, "last_prompt_tokens", 0) or 0) if comp else 0
context_used = measured_used if measured_used > 0 else estimated_total
context_percent = (
max(0, min(100, round(context_used / context_max * 100)))
if context_max
else 0
)
return {
"categories": [
{
"color": _CATEGORY_COLORS.get(category_id, "var(--ui-text-tertiary)"),
"id": category_id,
"label": label,
"tokens": tokens,
}
for category_id, label, tokens in categories
if tokens > 0
],
"context_max": context_max,
"context_percent": context_percent,
"context_used": context_used,
"estimated_total": estimated_total,
"model": getattr(agent, "model", "") or "",
}
File diff suppressed because it is too large Load Diff
+2 -7
View File
@@ -194,17 +194,12 @@ class ContextEngine(ABC):
Default returns the standard fields run_agent.py expects.
"""
# Clamp the -1 "compression just ran, awaiting real usage" sentinel
# (set by conversation_compression) to 0 so status readers don't see a
# raw -1 or a negative usage_percent on the transitional turn. Mirrors
# the CLI/gateway status-bar paths (cli.py, tui_gateway/server.py).
last_prompt = self.last_prompt_tokens if self.last_prompt_tokens > 0 else 0
return {
"last_prompt_tokens": last_prompt,
"last_prompt_tokens": self.last_prompt_tokens,
"threshold_tokens": self.threshold_tokens,
"context_length": self.context_length,
"usage_percent": (
min(100, last_prompt / self.context_length * 100)
min(100, self.last_prompt_tokens / self.context_length * 100)
if self.context_length else 0
),
"compression_count": self.compression_count,
+8 -55
View File
@@ -12,7 +12,6 @@ from pathlib import Path
from typing import Awaitable, Callable
from agent.model_metadata import estimate_tokens_rough
from hermes_cli._subprocess_compat import IS_WINDOWS, windows_hide_flags
_QUOTED_REFERENCE_VALUE = r'(?:`[^`\n]+`|"[^"\n]+"|\'[^\'\n]+\')'
REFERENCE_PATTERN = re.compile(
@@ -152,24 +151,13 @@ async def preprocess_context_references_async(
blocks: list[str] = []
injected_tokens = 0
# Expand all references concurrently. Each _expand_reference is independent
# (no shared state during expansion) — a message with several @url: refs
# would otherwise pay one full web_extract round-trip per ref in series.
# gather preserves positional order, so we reassemble warnings/blocks in the
# original ref order exactly as the prior serial loop did; the token-budget
# check below is unchanged (it runs once, after all refs are expanded).
expanded = await asyncio.gather(
*(
_expand_reference(
ref,
cwd_path,
url_fetcher=url_fetcher,
allowed_root=allowed_root_path,
)
for ref in refs
for ref in refs:
warning, block = await _expand_reference(
ref,
cwd_path,
url_fetcher=url_fetcher,
allowed_root=allowed_root_path,
)
)
for warning, block in expanded:
if warning:
warnings.append(warning)
if block:
@@ -302,7 +290,6 @@ def _expand_git_reference(
args: list[str],
label: str,
) -> tuple[str | None, str | None]:
_popen_kwargs = {"creationflags": windows_hide_flags()} if IS_WINDOWS else {}
try:
result = subprocess.run(
["git", *args],
@@ -311,7 +298,6 @@ def _expand_git_reference(
text=True,
timeout=30,
stdin=subprocess.DEVNULL,
**_popen_kwargs,
)
except subprocess.TimeoutExpired:
return f"{ref.raw}: git command timed out (30s)", None
@@ -339,9 +325,9 @@ async def _fetch_url_content(
async def _default_url_fetcher(url: str) -> str:
from tools.web_tools import web_extract_tool
raw = await web_extract_tool([url], format="markdown")
raw = await web_extract_tool([url], format="markdown", use_llm_processing=True)
payload = json.loads(raw)
docs = payload.get("results", [])
docs = payload.get("data", {}).get("documents", [])
if not docs:
return ""
doc = docs[0]
@@ -381,37 +367,6 @@ def _ensure_reference_path_allowed(path: Path) -> None:
continue
raise ValueError("path is a sensitive credential or internal Hermes path and cannot be attached")
# Anchor to the canonical read deny-list (agent/file_safety.get_read_block_error),
# the single source of truth used by the file/terminal read path. The narrow
# list above predates that guard and never caught the real credential stores:
# provider keys (auth.json), Anthropic OAuth tokens (.anthropic_oauth.json),
# MCP OAuth material (mcp-tokens/), webhook HMAC secrets, and project-local
# .env files. That gap matters because the gateway feeds UNTRUSTED remote
# message text into reference expansion, so `@file:~/.hermes/auth.json` from a
# chat peer would otherwise read the operator's keys straight into context.
# Routing through the canonical guard closes the gap today and keeps this path
# protected automatically whenever that deny-list grows.
try:
from agent.file_safety import get_read_block_error
if get_read_block_error(str(path)) is not None:
raise ValueError(
"path is a sensitive credential or internal Hermes path and cannot be attached"
)
except ValueError:
raise
except Exception:
# Fail CLOSED on the security path. This guard exists specifically to
# cover credential stores the narrow list above misses (auth.json,
# .anthropic_oauth.json, mcp-tokens/, ...). If the canonical lookup
# ever fails, silently falling through would re-open that exact hole —
# the gateway feeds untrusted remote text here, so a probe could then
# attach the operator's keys. Refuse instead: a spurious block on a
# legitimate file is a recoverable annoyance; a leaked credential is not.
raise ValueError(
"path could not be verified against the credential deny-list and cannot be attached"
)
def _strip_trailing_punctuation(value: str) -> str:
stripped = value.rstrip(TRAILING_PUNCTUATION)
@@ -528,7 +483,6 @@ def _iter_visible_entries(path: Path, cwd: Path, limit: int) -> list[Path]:
def _rg_files(path: Path, cwd: Path, limit: int) -> list[Path] | None:
_popen_kwargs = {"creationflags": windows_hide_flags()} if IS_WINDOWS else {}
try:
result = subprocess.run(
["rg", "--files", str(path.relative_to(cwd))],
@@ -537,7 +491,6 @@ def _rg_files(path: Path, cwd: Path, limit: int) -> list[Path] | None:
text=True,
timeout=10,
stdin=subprocess.DEVNULL,
**_popen_kwargs,
)
except (FileNotFoundError, OSError, subprocess.TimeoutExpired):
return None
File diff suppressed because it is too large Load Diff
+161 -1054
View File
File diff suppressed because it is too large Load Diff
+14 -86
View File
@@ -21,14 +21,8 @@ from pathlib import Path
from types import SimpleNamespace
from typing import Any
from openai.types.chat.chat_completion_message_tool_call import (
ChatCompletionMessageToolCall,
Function,
)
from agent.file_safety import get_read_block_error, get_write_denied_error
from agent.file_safety import get_read_block_error, is_write_denied
from agent.redact import redact_sensitive_text
from tools.environments.local import hermes_subprocess_env
ACP_MARKER_BASE_URL = "acp://copilot"
_DEFAULT_TIMEOUT_SECONDS = 900.0
@@ -100,10 +94,7 @@ def _resolve_home_dir() -> str:
def _build_subprocess_env() -> dict[str, str]:
# Copilot ACP is a model-driving CLI executor: it legitimately needs LLM
# provider credentials. Route through the central helper so Tier-1 secrets
# (gateway bot tokens, GitHub auth, infra) are still stripped (#29157).
env = hermes_subprocess_env(inherit_credentials=True)
env = os.environ.copy()
home = _resolve_home_dir()
env["HOME"] = home
from hermes_constants import apply_subprocess_home_env
@@ -233,73 +224,11 @@ def _render_message_content(content: Any) -> str:
return str(content).strip()
def _build_openai_tool_call(
*,
call_id: str,
name: str,
arguments: str,
) -> ChatCompletionMessageToolCall:
"""Build an OpenAI-compatible tool-call object for downstream handling."""
return ChatCompletionMessageToolCall(
id=call_id,
call_id=call_id,
response_item_id=None,
type="function",
function=Function(name=name, arguments=arguments),
)
def _completion_to_stream_chunks(completion: SimpleNamespace) -> list[SimpleNamespace]:
"""Convert a one-shot ACP response into OpenAI-style stream chunks."""
choice = completion.choices[0]
message = choice.message
tool_call_deltas = None
if message.tool_calls:
tool_call_deltas = []
for index, tool_call in enumerate(message.tool_calls):
tool_call_deltas.append(
SimpleNamespace(
index=index,
id=getattr(tool_call, "id", None),
type=getattr(tool_call, "type", "function"),
function=SimpleNamespace(
name=getattr(tool_call.function, "name", None),
arguments=getattr(tool_call.function, "arguments", None),
),
)
)
delta = SimpleNamespace(
role="assistant",
content=message.content or None,
tool_calls=tool_call_deltas,
reasoning_content=message.reasoning_content,
reasoning=message.reasoning,
)
data_chunk = SimpleNamespace(
choices=[
SimpleNamespace(
index=0,
delta=delta,
finish_reason=choice.finish_reason,
)
],
model=completion.model,
usage=None,
)
usage_chunk = SimpleNamespace(
choices=[],
model=completion.model,
usage=completion.usage,
)
return [data_chunk, usage_chunk]
def _extract_tool_calls_from_text(text: str) -> tuple[list[ChatCompletionMessageToolCall], str]:
def _extract_tool_calls_from_text(text: str) -> tuple[list[SimpleNamespace], str]:
if not isinstance(text, str) or not text.strip():
return [], ""
extracted: list[ChatCompletionMessageToolCall] = []
extracted: list[SimpleNamespace] = []
consumed_spans: list[tuple[int, int]] = []
def _try_add_tool_call(raw_json: str) -> None:
@@ -323,10 +252,12 @@ def _extract_tool_calls_from_text(text: str) -> tuple[list[ChatCompletionMessage
call_id = f"acp_call_{len(extracted)+1}"
extracted.append(
_build_openai_tool_call(
SimpleNamespace(
id=call_id,
call_id=call_id,
name=fn_name.strip(),
arguments=fn_args,
response_item_id=None,
type="function",
function=SimpleNamespace(name=fn_name.strip(), arguments=fn_args),
)
)
@@ -445,7 +376,6 @@ class CopilotACPClient:
timeout: float | None = None,
tools: list[dict[str, Any]] | None = None,
tool_choice: Any = None,
stream: bool = False,
**_: Any,
) -> Any:
prompt_text = _format_messages_as_prompt(
@@ -492,14 +422,11 @@ class CopilotACPClient:
)
finish_reason = "tool_calls" if tool_calls else "stop"
choice = SimpleNamespace(message=assistant_message, finish_reason=finish_reason)
completion = SimpleNamespace(
return SimpleNamespace(
choices=[choice],
usage=usage,
model=model or "copilot-acp",
)
if stream:
return _completion_to_stream_chunks(completion)
return completion
def _run_prompt(self, prompt_text: str, *, timeout_seconds: float) -> tuple[str, str]:
try:
@@ -727,9 +654,10 @@ class CopilotACPClient:
elif method == "fs/write_text_file":
try:
path = _ensure_path_within_cwd(str(params.get("path") or ""), cwd)
denied = get_write_denied_error(str(path))
if denied:
raise PermissionError(denied)
if is_write_denied(str(path)):
raise PermissionError(
f"Write denied: '{path}' is a protected system/credential file."
)
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(str(params.get("content") or ""))
response = {
+1 -1
View File
@@ -22,7 +22,7 @@ _PERSISTABLE_PROVIDER_SOURCES = frozenset({
("minimax-oauth", "oauth"),
("nous", "device_code"),
("openai-codex", "device_code"),
("xai-oauth", "device_code"),
("xai-oauth", "loopback_pkce"),
})
_SAFE_SECRETISH_METADATA_KEYS = frozenset({
+57 -358
View File
@@ -82,7 +82,7 @@ _TERMINAL_AUTH_REASONS = frozenset({
# without losing recoverability — the user always has the option to re-add
# via ``hermes auth add``.
#
# Singleton-seeded entries (``device_code``, ``claude_code``)
# Singleton-seeded entries (``device_code``, ``loopback_pkce``, ``claude_code``)
# are NOT pruned because ``_seed_from_singletons`` would just re-create them
# on the next ``load_pool()`` with the same stale singleton tokens, defeating
# the cleanup. They remain in the pool marked DEAD until an explicit re-auth
@@ -114,20 +114,6 @@ EXHAUSTED_TTL_401_SECONDS = 5 * 60 # 5 minutes
EXHAUSTED_TTL_429_SECONDS = 60 * 60 # 1 hour
EXHAUSTED_TTL_DEFAULT_SECONDS = 60 * 60 # 1 hour
# Throttle window for the "no available entries" INFO line. Credential
# selection runs on a hot path (every model call, plus auxiliary tasks like
# compression/moa/titles), so when a pool is empty or fully exhausted the
# un-throttled log fires on *every* selection. On Windows several Hermes
# processes share one rotating log guarded by concurrent-log-handler's
# cross-process lock; that per-selection volume storms the lock
# (``RuntimeError: Cannot acquire lock after 20 attempts``), pegs a core, and
# stalls the asyncio event loop long enough to fail the Desktop backend
# readiness handshake ("Timed out connecting to Hermes backend after
# 15000ms"). Logging the condition at most once per window preserves the
# signal while removing the storm — same class of fix as the warn-once
# dedup in #58265.
NO_AVAILABLE_ENTRIES_LOG_THROTTLE_SECONDS = 60.0
# Pool key prefix for custom OpenAI-compatible endpoints.
# Custom endpoints all share provider='custom' but are keyed by their
# custom_providers name: 'custom:<normalized_name>'.
@@ -142,17 +128,6 @@ _EXTRA_KEYS = frozenset({
})
def _normalize_pool_auth_type(provider: str, token: Any, auth_type: Any) -> str:
"""Infer pool auth metadata for token formats with one unambiguous meaning."""
if (
provider == "anthropic"
and isinstance(token, str)
and token.startswith("sk-ant-oat")
):
return AUTH_TYPE_OAUTH
return str(auth_type or AUTH_TYPE_API_KEY)
@dataclass
class PooledCredential:
provider: str
@@ -182,11 +157,6 @@ class PooledCredential:
def __post_init__(self):
if self.extra is None:
self.extra = {}
self.auth_type = _normalize_pool_auth_type(
self.provider,
self.access_token,
self.auth_type,
)
def __getattr__(self, name: str):
if name in _EXTRA_KEYS:
@@ -475,44 +445,6 @@ def get_pool_strategy(provider: str) -> str:
return STRATEGY_FILL_FIRST
def credential_pool_matches_provider(
pool_or_provider: Any,
provider: Optional[str],
*,
base_url: Optional[str] = None,
) -> bool:
"""Return whether a pool belongs to the requested runtime provider.
Named custom endpoints intentionally use two identities: the live agent is
``custom`` while its pool is keyed ``custom:<name>``. Accept that pair only
when the runtime base URL resolves to the exact same custom pool key.
Empty string identities fail closed. Legacy pool adapters without a
``provider`` attribute remain compatible; production pools are scoped.
"""
raw_pool_provider = getattr(pool_or_provider, "provider", None)
if raw_pool_provider is None:
if isinstance(pool_or_provider, str):
raw_pool_provider = pool_or_provider
else:
# Backward compatibility for lightweight/unscoped pool adapters.
# Production CredentialPool instances always carry ``provider``;
# old plugins and tests may expose only select()/has_credentials().
return True
pool_provider = str(raw_pool_provider or "").strip().lower()
provider_norm = str(provider or "").strip().lower()
if not pool_provider or not provider_norm:
return False
if pool_provider == provider_norm:
return True
if provider_norm != "custom" or not pool_provider.startswith(CUSTOM_POOL_PREFIX):
return False
try:
matched_pool = get_custom_provider_pool_key(base_url or "")
except Exception:
return False
return str(matched_pool or "").strip().lower() == pool_provider
DEFAULT_MAX_CONCURRENT_PER_CREDENTIAL = 1
@@ -557,12 +489,14 @@ def _write_through_provider_state_to_global_root(
except Exception:
return
try:
auth_mod._persist_provider_state_to_store(
provider_id,
state,
global_path,
set_active=False,
)
if global_path.exists():
global_store = _load_auth_store(global_path)
else:
global_store = {}
if not isinstance(global_store, dict):
return
_store_provider_state(global_store, provider_id, dict(state), set_active=False)
auth_mod._save_auth_store(global_store, global_path)
except Exception as exc: # pragma: no cover - best effort
logger.debug(
"%s pool refresh: write-through to global root failed: %s",
@@ -580,12 +514,6 @@ class CredentialPool:
self._lock = threading.Lock()
self._active_leases: Dict[str, int] = {}
self._max_concurrent = DEFAULT_MAX_CONCURRENT_PER_CREDENTIAL
# Monotonic timestamp of the last "no available entries" log, used to
# throttle that message so an empty/exhausted pool cannot storm the
# shared rotating log (see NO_AVAILABLE_ENTRIES_LOG_THROTTLE_SECONDS).
# Re-armed to None on every successful selection so a recover→re-exhaust
# transition logs promptly instead of being swallowed by a stale window.
self._last_no_entries_log_at: Optional[float] = None
def has_credentials(self) -> bool:
return bool(self._entries)
@@ -609,11 +537,10 @@ class CredentialPool:
self._entries[idx] = new
return
def _persist(self, *, removed_ids: Optional[List[str]] = None) -> None:
def _persist(self) -> None:
write_credential_pool(
self.provider,
[entry.to_dict() for entry in self._entries],
removed_ids=removed_ids,
)
def _is_terminal_auth_failure(
@@ -688,32 +615,17 @@ class CredentialPool:
file_refresh = creds.get("refreshToken", "")
file_access = creds.get("accessToken", "")
file_expires = creds.get("expiresAt", 0)
# Sync when either token changed. Access tokens can be re-issued
# without a new refresh token (silent re-issue path), so checking
# only refresh_token misses that case and leaves a stale
# access_token in the pool → 401 on every request until the pool
# entry's exhausted TTL expires.
entry_access = entry.access_token or ""
entry_refresh = entry.refresh_token or ""
if (file_access or file_refresh) and (
(file_access and file_access != entry_access)
or (file_refresh and file_refresh != entry_refresh)
):
logger.debug(
"Pool entry %s: syncing tokens from credentials file (tokens changed)",
entry.id,
)
# If the credentials file has a different token pair, sync it
if file_refresh and file_refresh != entry.refresh_token:
logger.debug("Pool entry %s: syncing tokens from credentials file (refresh token changed)", entry.id)
updated = replace(
entry,
access_token=file_access or entry.access_token,
refresh_token=file_refresh or entry.refresh_token,
expires_at_ms=file_expires or entry.expires_at_ms,
access_token=file_access,
refresh_token=file_refresh,
expires_at_ms=file_expires,
last_status=None,
last_status_at=None,
last_error_code=None,
last_error_reason=None,
last_error_message=None,
last_error_reset_at=None,
)
self._replace_entry(entry, updated)
self._persist()
@@ -796,11 +708,11 @@ class CredentialPool:
keeps the consumed refresh_token and the next ``_refresh_entry`` call
would replay it and get a ``refresh_token_reused``-style 4xx.
Only applies to entries seeded from the singleton (``device_code``);
manually added entries are independent credentials with their own
refresh-token lifecycle.
Only applies to entries seeded from the singleton (``loopback_pkce``);
manually added entries (``manual:xai_pkce``) are independent
credentials with their own refresh-token lifecycle.
"""
if self.provider != "xai-oauth" or entry.source != "device_code":
if self.provider != "xai-oauth" or entry.source != "loopback_pkce":
return entry
try:
with _auth_store_lock():
@@ -844,45 +756,6 @@ class CredentialPool:
logger.debug("Failed to sync xAI OAuth entry from auth.json: %s", exc)
return entry
def _sync_xai_oauth_entry_from_pool_store(
self, entry: PooledCredential
) -> PooledCredential:
"""Adopt a token pair rotated by another pool instance.
Direct xAI integrations load a fresh ``CredentialPool`` for each
request. Their in-memory locks therefore cannot protect xAI's
single-use refresh token across concurrent requests or processes.
This helper is called while the shared auth-store lock is held and
re-reads the exact persisted row before a refresh POST is attempted.
"""
if self.provider != "xai-oauth":
return entry
try:
persisted = next(
(
payload
for payload in read_credential_pool(self.provider)
if isinstance(payload, dict) and payload.get("id") == entry.id
),
None,
)
if not isinstance(persisted, dict):
return entry
stored = PooledCredential.from_dict(self.provider, persisted)
if (
stored.access_token != entry.access_token
or stored.refresh_token != entry.refresh_token
):
logger.debug(
"Pool entry %s: adopting xAI OAuth tokens rotated by another pool instance",
entry.id,
)
self._replace_entry(entry, stored)
return stored
except Exception as exc:
logger.debug("Failed to sync xAI OAuth entry from credential pool: %s", exc)
return entry
def _sync_nous_entry_from_auth_store(self, entry: PooledCredential) -> PooledCredential:
"""Sync a Nous pool entry from auth.json if tokens differ.
@@ -979,9 +852,8 @@ class CredentialPool:
"""
# Only sync entries that were seeded *from* a singleton. Manually
# added pool entries (source="manual:*") are independent credentials
# and must not write back to the singleton. All singleton-seeded
# device-code sources (nous, openai-codex, xAI) use ``device_code``.
if entry.source != "device_code":
# and must not write back to the singleton.
if entry.source not in {"device_code", "loopback_pkce"}:
return
try:
with _auth_store_lock():
@@ -1076,61 +948,6 @@ class CredentialPool:
self._mark_exhausted(entry, None)
return None
# Codex and xAI OAuth refresh tokens are single-use. The
# sync→POST→write-back sequence below must run atomically across Hermes
# processes: otherwise two processes can both adopt the same on-disk
# token, both POST it, and the loser gets ``refresh_token_reused``.
# Serialize the whole sequence through the shared cross-process
# auth-store flock (the same lock and extended-timeout pattern used by
# resolve_codex_runtime_credentials()). When a waiter finally acquires
# the lock, the in-lock re-sync below picks up the rotated token the
# winner persisted and skips the POST.
if self.provider in ("openai-codex", "xai-oauth"):
sync_entry = (
self._sync_codex_entry_from_auth_store
if self.provider == "openai-codex"
else self._sync_xai_oauth_entry_from_pool_store
)
with _auth_store_lock(
timeout_seconds=self._single_use_refresh_lock_timeout()
):
synced = sync_entry(entry)
if self.provider == "openai-codex":
if synced is not entry:
entry = synced
if not force and not self._entry_needs_refresh(entry):
return entry
return self._refresh_entry_impl(entry, force=force)
if (
synced.access_token != entry.access_token
or synced.refresh_token != entry.refresh_token
):
return synced
return self._refresh_entry_impl(synced, force=force)
return self._refresh_entry_impl(entry, force=force)
def _single_use_refresh_lock_timeout(self) -> float:
"""Lock timeout for single-use-refresh-token providers.
Covers the configured refresh POST timeout plus a margin so a slow
token endpoint cannot make the flock give up before the refresh
resolves. Reads the provider's ``HERMES_*_REFRESH_TIMEOUT_SECONDS``
override.
"""
env_var = (
"HERMES_CODEX_REFRESH_TIMEOUT_SECONDS"
if self.provider == "openai-codex"
else "HERMES_XAI_REFRESH_TIMEOUT_SECONDS"
)
refresh_timeout_seconds = auth_mod.env_float(env_var, 20)
return max(
float(auth_mod.AUTH_LOCK_TIMEOUT_SECONDS),
float(refresh_timeout_seconds) + 5.0,
)
def _refresh_entry_impl(
self, entry: PooledCredential, *, force: bool
) -> Optional[PooledCredential]:
try:
if self.provider == "anthropic":
from agent.anthropic_adapter import refresh_anthropic_oauth_pure
@@ -1251,8 +1068,8 @@ class CredentialPool:
# consumed the refresh token between our proactive sync and the
# HTTP call. Re-check auth.json and adopt the fresh tokens if
# they have rotated since. Only meaningful for singleton-seeded
# (device_code) entries; manual entries don't share
# state with the singleton.
# (loopback_pkce) entries; manual entries don't share state with
# the singleton.
if self.provider == "xai-oauth":
synced = self._sync_xai_oauth_entry_from_auth_store(entry)
if synced.refresh_token != entry.refresh_token:
@@ -1274,8 +1091,8 @@ class CredentialPool:
# Terminal error: auth.json has no newer tokens — the stored
# refresh_token is dead. Clear it from auth.json so the next
# session does not re-seed the same revoked credentials, and
# remove all singleton-seeded xAI entries from the in-memory
# pool. Mirrors the Nous quarantine path above.
# remove all singleton-seeded (loopback_pkce) entries from the
# in-memory pool. Mirrors the Nous quarantine path above.
if auth_mod._is_terminal_xai_oauth_refresh_error(exc):
logger.debug(
"xAI OAuth refresh token is terminally invalid; clearing local token state"
@@ -1307,17 +1124,13 @@ class CredentialPool:
logger.debug(
"Failed to clear terminal xAI OAuth state: %s", clear_exc
)
removed_ids = [
item.id for item in self._entries
if item.source == "device_code"
]
self._entries = [
item for item in self._entries
if item.source != "device_code"
if item.source != "loopback_pkce"
]
if self._current_id == entry.id:
self._current_id = None
self._persist(removed_ids=removed_ids)
self._persist()
return None
# For openai-codex: same race as xAI/nous — another Hermes process
# may have consumed the refresh token between our proactive sync
@@ -1377,17 +1190,13 @@ class CredentialPool:
logger.debug(
"Failed to clear terminal Codex OAuth state: %s", clear_exc
)
removed_ids = [
item.id for item in self._entries
if item.source == "device_code"
]
self._entries = [
item for item in self._entries
if item.source != "device_code"
]
if self._current_id == entry.id:
self._current_id = None
self._persist(removed_ids=removed_ids)
self._persist()
return None
# For nous: another process may have consumed the refresh token
# between our proactive sync and the HTTP call. Re-sync from
@@ -1444,17 +1253,13 @@ class CredentialPool:
auth_mod.NOUS_DEVICE_CODE_SOURCE,
f"manual:{auth_mod.NOUS_DEVICE_CODE_SOURCE}",
}
removed_ids = [
item.id for item in self._entries
if item.source in singleton_sources
]
self._entries = [
item for item in self._entries
if item.source not in singleton_sources
]
if self._current_id == entry.id:
self._current_id = None
self._persist(removed_ids=removed_ids)
self._persist()
return None
self._mark_exhausted(entry, None)
return None
@@ -1491,7 +1296,7 @@ class CredentialPool:
if self.provider == "xai-oauth":
return auth_mod._xai_access_token_is_expiring(
entry.access_token,
auth_mod._xai_proactive_refresh_skew_seconds(entry.access_token),
auth_mod.XAI_ACCESS_TOKEN_REFRESH_SKEW_SECONDS,
)
if self.provider == "nous":
# Nous refresh can require network access and should happen when
@@ -1516,11 +1321,6 @@ class CredentialPool:
entries_to_prune: List[str] = []
available: List[PooledCredential] = []
for entry in self._entries:
# Borrowed credentials persist as metadata-only references and are
# hydrated from their live source on load. A stale duplicate row
# can remain unhydrated; never lease or select it as an empty key.
if entry.auth_type == AUTH_TYPE_API_KEY and not entry.runtime_api_key:
continue
# For anthropic claude_code entries, sync from the credentials file
# before any status/refresh checks. This picks up tokens refreshed
# by other processes (Claude Code CLI, other Hermes profiles).
@@ -1558,7 +1358,7 @@ class CredentialPool:
# tokens that another process (or a fresh `hermes model` ->
# xAI Grok OAuth login) has since rotated in auth.json.
if (self.provider == "xai-oauth"
and entry.source == "device_code"
and entry.source == "loopback_pkce"
and entry.last_status in {STATUS_EXHAUSTED, STATUS_DEAD}):
synced = self._sync_xai_oauth_entry_from_auth_store(entry)
if synced is not entry:
@@ -1621,35 +1421,16 @@ class CredentialPool:
pruned_ids = set(entries_to_prune)
self._entries = [e for e in self._entries if e.id not in pruned_ids]
if cleared_any:
self._persist(removed_ids=entries_to_prune)
self._persist()
return available
def _log_no_available_entries(self) -> None:
"""Emit the empty-pool INFO line at most once per throttle window.
Called on every selection while the pool is empty/exhausted. Without
throttling this storms the Windows cross-process log lock and stalls the
event loop (see NO_AVAILABLE_ENTRIES_LOG_THROTTLE_SECONDS).
"""
now = time.monotonic()
last = self._last_no_entries_log_at
if last is not None and (now - last) < NO_AVAILABLE_ENTRIES_LOG_THROTTLE_SECONDS:
return
self._last_no_entries_log_at = now
logger.info("credential pool: no available entries (all exhausted or empty)")
def _select_unlocked(self, *, refresh: bool = True) -> Optional[PooledCredential]:
available = self._available_entries(clear_expired=True, refresh=refresh)
def _select_unlocked(self) -> Optional[PooledCredential]:
available = self._available_entries(clear_expired=True, refresh=True)
if not available:
self._current_id = None
self._log_no_available_entries()
logger.info("credential pool: no available entries (all exhausted or empty)")
return None
# A successful selection means the pool recovered; re-arm the throttle
# so a later re-exhaustion logs immediately rather than being silenced
# by a window opened during the previous empty stretch.
self._last_no_entries_log_at = None
if self._strategy == STRATEGY_RANDOM:
entry = random.choice(available)
self._current_id = entry.id
@@ -1773,35 +1554,6 @@ class CredentialPool:
with self._lock:
return self._try_refresh_current_unlocked()
def try_refresh_matching(
self, api_key_hint: Optional[str] = None
) -> Optional[PooledCredential]:
"""Force-refresh the entry that supplied ``api_key_hint``.
Direct provider integrations may reload the pool after a request has
already failed, so they cannot rely on ``current_id`` identifying the
issuing credential. With no hint, select an entry without first doing
the normal proactive refresh; the forced refresh below must consume a
rotating refresh token exactly once.
"""
with self._lock:
entry = None
if api_key_hint:
entry = next(
(
candidate
for candidate in self._entries
if candidate.runtime_api_key == api_key_hint
),
None,
)
else:
entry = self.current() or self._select_unlocked(refresh=False)
if entry is None:
return None
self._current_id = entry.id
return self._try_refresh_current_unlocked()
def _try_refresh_current_unlocked(self) -> Optional[PooledCredential]:
entry = self.current()
if entry is None:
@@ -1843,11 +1595,7 @@ class CredentialPool:
replace(entry, priority=new_priority)
for new_priority, entry in enumerate(self._entries)
]
write_credential_pool(
self.provider,
[entry.to_dict() for entry in self._entries],
removed_ids=[removed.id],
)
self._persist()
if self._current_id == removed.id:
self._current_id = None
return removed
@@ -1885,15 +1633,11 @@ class CredentialPool:
def _upsert_entry(entries: List[PooledCredential], provider: str, source: str, payload: Dict[str, Any]) -> bool:
matching_indices = []
existing_idx = None
for idx, entry in enumerate(entries):
if entry.source == source:
matching_indices.append(idx)
existing_idx = matching_indices[0] if matching_indices else None
duplicate_indices = set(matching_indices[1:])
if duplicate_indices:
entries[:] = [entry for idx, entry in enumerate(entries) if idx not in duplicate_indices]
existing_idx = idx
break
if existing_idx is None:
payload.setdefault("id", uuid.uuid4().hex[:6])
@@ -1925,8 +1669,8 @@ def _upsert_entry(entries: List[PooledCredential], provider: str, source: str, p
# Runtime-only borrowed secret updates should refresh the in-memory
# entry without forcing auth.json churn when the disk-safe payload is
# unchanged (for example env keys with the same fingerprint).
return bool(duplicate_indices) or existing.to_dict() != updated.to_dict()
return bool(duplicate_indices)
return existing.to_dict() != updated.to_dict()
return False
def _normalize_pool_priorities(provider: str, entries: List[PooledCredential]) -> bool:
@@ -2123,16 +1867,11 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
from hermes_cli.copilot_auth import resolve_copilot_token, get_copilot_api_token
token, source = resolve_copilot_token()
if token:
api_token, enterprise_base_url = get_copilot_api_token(token)
api_token = get_copilot_api_token(token)
source_name = "gh_cli" if "gh" in source.lower() else f"env:{source}"
if not _is_suppressed(provider, source_name):
active_sources.add(source_name)
pconfig = PROVIDER_REGISTRY.get(provider)
# Use enterprise base URL from token exchange if available,
# otherwise fall back to the provider's default.
effective_base_url = enterprise_base_url or (
pconfig.inference_base_url if pconfig else ""
)
changed |= _upsert_entry(
entries,
provider,
@@ -2141,7 +1880,7 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
"source": source_name,
"auth_type": AUTH_TYPE_API_KEY,
"access_token": api_token,
"base_url": effective_base_url,
"base_url": pconfig.inference_base_url if pconfig else "",
"label": source,
},
)
@@ -2260,30 +1999,28 @@ def _seed_from_singletons(provider: str, entries: List[PooledCredential]) -> Tup
# (``providers["xai-oauth"]``). Surface them in the pool too so
# ``hermes auth list`` reflects the logged-in state and so the pool
# is the single source of truth for refresh during runtime resolution.
if _is_suppressed(provider, "loopback_pkce"):
return changed, active_sources
state = _load_provider_state(auth_store, "xai-oauth")
tokens = state.get("tokens") if isinstance(state, dict) else None
if isinstance(tokens, dict) and tokens.get("access_token"):
# Device code is the only supported xAI OAuth flow; the singleton is
# always surfaced as ``device_code`` (consistent with nous/codex).
source = "device_code"
if _is_suppressed(provider, source):
return changed, active_sources
active_sources.add(source)
active_sources.add("loopback_pkce")
from hermes_cli.auth import DEFAULT_XAI_OAUTH_BASE_URL
base_url = DEFAULT_XAI_OAUTH_BASE_URL
changed |= _upsert_entry(
entries,
provider,
source,
"loopback_pkce",
{
"source": source,
"source": "loopback_pkce",
"auth_type": AUTH_TYPE_OAUTH,
"access_token": tokens.get("access_token", ""),
"refresh_token": tokens.get("refresh_token"),
"base_url": base_url,
"last_refresh": state.get("last_refresh"),
"label": label_from_token(tokens.get("access_token", ""), source),
"label": label_from_token(tokens.get("access_token", ""), "loopback_pkce"),
},
)
@@ -2300,20 +2037,8 @@ def _seed_from_env(provider: str, entries: List[PooledCredential]) -> Tuple[bool
# changes to the .env file.
def _get_env_prefer_dotenv(key: str) -> str:
env_file = load_env()
raw = env_file.get(key, "").strip()
env_val = os.environ.get(key, "").strip()
# If .env contains an unresolved op:// reference, prefer the
# already-resolved value from os.environ (set by
# load_hermes_dotenv() -> apply_onepassword_secrets()). The raw
# "op://Vault/Item/field" string would otherwise win and every
# provider auth attempt would receive a URL instead of a key. This
# happens during a partial migration, or when the user wrote op://
# references straight into .env rather than the secrets.onepassword
# config block. For every non-op:// value the original
# .env-takes-precedence behaviour is preserved unchanged.
if raw.startswith("op://") and env_val:
return env_val
return raw or _get_secret(key, "") or env_val
val = env_file.get(key) or _get_secret(key, "") or ""
return val.strip()
# Honour user suppression — `hermes auth remove <provider> <N>` for an
# env-seeded credential marks the env:<VAR> source as suppressed so it
@@ -2400,6 +2125,7 @@ def _seed_from_env(provider: str, entries: List[PooledCredential]) -> Tuple[bool
if _is_source_suppressed(provider, source):
continue
active_sources.add(source)
auth_type = AUTH_TYPE_OAUTH if provider == "anthropic" and not token.startswith("sk-ant-api") else AUTH_TYPE_API_KEY
base_url = env_url or pconfig.inference_base_url
if provider == "kimi-coding":
base_url = _resolve_kimi_base_url(token, pconfig.inference_base_url, env_url)
@@ -2414,6 +2140,7 @@ def _seed_from_env(provider: str, entries: List[PooledCredential]) -> Tuple[bool
env_var=env_var,
token=token,
base_url=base_url,
auth_type=auth_type,
),
)
return changed, active_sources
@@ -2530,48 +2257,22 @@ def _seed_custom_pool(pool_key: str, entries: List[PooledCredential]) -> Tuple[b
def load_pool(provider: str) -> CredentialPool:
provider = (provider or "").strip().lower()
raw_entries = read_credential_pool(provider)
disk_ids = {
entry.get("id")
for entry in raw_entries
if isinstance(entry, dict) and entry.get("id")
}
raw_needs_sanitization = any(
isinstance(payload, dict)
and sanitize_borrowed_credential_payload(payload, provider) != payload
for payload in raw_entries
)
entries = [PooledCredential.from_dict(provider, payload) for payload in raw_entries]
raw_needs_auth_normalization = any(
isinstance(payload, dict)
and _normalize_pool_auth_type(
provider,
payload.get("access_token"),
payload.get("auth_type", AUTH_TYPE_API_KEY),
) != payload.get("auth_type", AUTH_TYPE_API_KEY)
for payload in raw_entries
)
if raw_needs_auth_normalization:
# A profile may be reading this provider from the global-root fallback.
# Keep that fallback read-only: only the store that owns these rows may
# rewrite them. Loading the default/root profile will heal global rows.
active_pool = _load_auth_store().get("credential_pool")
active_entries = active_pool.get(provider) if isinstance(active_pool, dict) else None
raw_needs_auth_normalization = bool(active_entries)
if provider.startswith(CUSTOM_POOL_PREFIX):
# Custom endpoint pool — seed from custom_providers config and model config
custom_changed, custom_sources = _seed_custom_pool(provider, entries)
changed = raw_needs_sanitization or raw_needs_auth_normalization or custom_changed
changed = raw_needs_sanitization or custom_changed
changed |= _prune_stale_seeded_entries(entries, custom_sources)
else:
singleton_changed, singleton_sources = _seed_from_singletons(provider, entries)
env_changed, env_sources = _seed_from_env(provider, entries)
changed = (
raw_needs_sanitization
or raw_needs_auth_normalization
or singleton_changed
or env_changed
)
changed = raw_needs_sanitization or singleton_changed or env_changed
# ``load_pool()`` is a non-destructive read for env-seeded entries: a
# process missing a provider env var must not delete the persisted
# pool entry for every other process (#9331). File-backed singletons
@@ -2584,10 +2285,8 @@ def load_pool(provider: str) -> CredentialPool:
changed |= _normalize_pool_priorities(provider, entries)
if changed:
new_ids = {entry.id for entry in entries}
write_credential_pool(
provider,
[entry.to_dict() for entry in sorted(entries, key=lambda item: item.priority)],
removed_ids=disk_ids - new_ids,
)
return CredentialPool(provider, entries)
+8 -3
View File
@@ -265,7 +265,7 @@ def _remove_minimax_oauth(provider: str, removed) -> RemovalResult:
return result
def _remove_xai_oauth_device_code(provider: str, removed) -> RemovalResult:
def _remove_xai_oauth_loopback_pkce(provider: str, removed) -> RemovalResult:
"""xAI OAuth tokens live in auth.json providers.xai-oauth — clear them.
Without this step, ``hermes auth remove xai-oauth <N>`` silently undoes
@@ -275,6 +275,11 @@ def _remove_xai_oauth_device_code(provider: str, removed) -> RemovalResult:
entry from the still-present singleton credentials reappear with no
user feedback. Clearing the singleton in step with the suppression set
by the central dispatcher makes the removal stick.
Belt-and-braces against the manual entry path: ``hermes auth add
xai-oauth`` produces a ``manual:xai_pkce`` entry whose removal step
falls through to "unregistered → nothing to clean up" (correct
manual entries are pool-only).
"""
result = RemovalResult()
if _clear_auth_store_provider(provider):
@@ -418,8 +423,8 @@ def _register_all_sources() -> None:
description="auth.json providers.openai-codex + ~/.codex/auth.json",
))
register(RemovalStep(
provider="xai-oauth", source_id="device_code",
remove_fn=_remove_xai_oauth_device_code,
provider="xai-oauth", source_id="loopback_pkce",
remove_fn=_remove_xai_oauth_loopback_pkce,
description="auth.json providers.xai-oauth",
))
register(RemovalStep(
+3 -92
View File
@@ -45,26 +45,12 @@ def _strip_aux_credential(value: Any) -> Optional[str]:
class _ReviewRuntimeBinding(NamedTuple):
"""Provider/model for the curator review fork plus per-slot overrides."""
"""Provider/model for the curator review fork plus optional per-slot overrides."""
provider: str
model: str
explicit_api_key: Optional[str]
explicit_base_url: Optional[str]
request_overrides: Dict[str, Any]
def _merge_request_overrides(
runtime_overrides: Any,
slot_extra_body: Any,
) -> Dict[str, Any]:
"""Merge resolver metadata with task-local request body fields."""
merged = dict(runtime_overrides or {})
if isinstance(slot_extra_body, dict) and slot_extra_body:
extra_body = dict(merged.get("extra_body") or {})
extra_body.update(slot_extra_body)
merged["extra_body"] = extra_body
return merged
DEFAULT_INTERVAL_HOURS = 24 * 7 # 7 days
@@ -287,21 +273,6 @@ def should_run_now(now: Optional[datetime] = None) -> bool:
# Automatic state transitions (pure function, no LLM)
# ---------------------------------------------------------------------------
def _cron_referenced_skills() -> Set[str]:
"""Skill names referenced by any cron job (incl. paused/disabled).
Best-effort: a cron-module import error or corrupt jobs store must never
break the curator, so any failure yields an empty set (no protection,
but no crash).
"""
try:
from cron.jobs import referenced_skill_names as _refs
return _refs()
except Exception as e:
logger.debug("Curator could not read cron skill references: %s", e, exc_info=True)
return set()
def apply_automatic_transitions(now: Optional[datetime] = None) -> Dict[str, int]:
"""Walk every curator-managed skill and move active/stale/archived based on
the latest real activity timestamp. Pinned skills are never touched.
@@ -321,8 +292,6 @@ def apply_automatic_transitions(now: Optional[datetime] = None) -> Dict[str, int
stale_cutoff = now - timedelta(days=get_stale_after_days())
archive_cutoff = now - timedelta(days=get_archive_after_days())
cron_referenced = _cron_referenced_skills()
counts = {"marked_stale": 0, "archived": 0, "reactivated": 0, "checked": 0, "seeded": 0}
for row in _u.agent_created_report():
@@ -331,15 +300,6 @@ def apply_automatic_transitions(now: Optional[datetime] = None) -> Dict[str, int
if row.get("pinned"):
continue
# A skill referenced by any cron job (incl. paused/disabled) is in
# use by definition — resuming or the next fire must find it. The
# scheduler only bumps usage when a job actually fires, so jobs that
# fire less often than archive_after_days, paused jobs, and far-future
# one-shots would otherwise have their skills aged out from under
# them. Treat referenced skills like pinned: never auto-transition.
if name in cron_referenced:
continue
# First sight of a curation-eligible skill with no persisted record
# (e.g. a newly-eligible built-in): anchor its clock to now and defer.
if not row.get("_persisted", True):
@@ -356,18 +316,6 @@ def apply_automatic_transitions(now: Optional[datetime] = None) -> Dict[str, int
current = row.get("state", _u.STATE_ACTIVE)
# Never-used skills (use_count == 0) get a grace floor: don't archive
# one until it is at least stale_after_days old. A use=0 skill is
# absence of evidence, not evidence of staleness — a skill created
# recently may simply not have had its trigger come up yet.
never_used = int(row.get("use_count", 0) or 0) == 0
if never_used and anchor > stale_cutoff:
# Younger than the stale window — leave it alone entirely.
if current == _u.STATE_STALE:
_u.set_state(name, _u.STATE_ACTIVE)
counts["reactivated"] += 1
continue
if anchor <= archive_cutoff and current != _u.STATE_ARCHIVED:
ok, _msg = _u.archive_skill(name)
if ok:
@@ -442,19 +390,10 @@ CURATOR_REVIEW_PROMPT = (
"back load-bearing UX (slash-command entry points referenced in docs and "
"tips) and are filtered out of the candidate list below — never resurrect "
"one as an archive or absorb target.\n"
"3c. DO NOT archive or prune any skill marked `cron=yes` in the candidate "
"list. A cron job depends on it and will fail to load it on its next "
"run. You MAY still consolidate it into an umbrella — but only because "
"the curator rewrites cron job skill references to follow consolidations; "
"never simply prune it.\n"
"4. DO NOT use usage counters as a reason to skip consolidation. The "
"counters are new and often mostly zero. Judge overlap on CONTENT, "
"not on use_count. 'use=0' is not evidence a skill is valuable; it's "
"absence of evidence either way. Corollary: 'use=0' is ALSO not a "
"reason to PRUNE a skill. Never archive a never-used skill (use=0) "
"unless it is at least 30 days old (check last_activity / created date) "
"AND its content is genuinely obsolete or fully absorbed elsewhere — a "
"recently-created skill simply may not have had its trigger come up yet.\n"
"absence of evidence either way.\n"
"5. DO NOT reject consolidation on the grounds that 'each skill has "
"a distinct trigger'. Pairwise distinctness is the wrong bar. The "
"right bar is: 'would a human maintainer write this as N separate "
@@ -1474,14 +1413,12 @@ def _render_candidate_list() -> str:
rows = skill_usage.agent_created_report()
if not rows:
return "No agent-created skills to review."
cron_referenced = _cron_referenced_skills()
lines = [f"Agent-created skills ({len(rows)}):\n"]
for r in rows:
lines.append(
f"- {r['name']} "
f"state={r['state']} "
f"pinned={'yes' if r.get('pinned') else 'no'} "
f"cron={'yes' if r['name'] in cron_referenced else 'no'} "
f"activity={r.get('activity_count', 0)} "
f"use={r.get('use_count', 0)} "
f"view={r.get('view_count', 0)} "
@@ -1778,7 +1715,6 @@ def _resolve_review_runtime(cfg: Dict[str, Any]) -> _ReviewRuntimeBinding:
_task_model,
_strip_aux_credential(_cur_task.get("api_key")),
_strip_aux_credential(_cur_task.get("base_url")),
_merge_request_overrides({}, _cur_task.get("extra_body")),
)
# 2. Legacy curator.auxiliary.{provider,model} (deprecated, pre-unification)
@@ -1796,11 +1732,10 @@ def _resolve_review_runtime(cfg: Dict[str, Any]) -> _ReviewRuntimeBinding:
str(_legacy_model),
_strip_aux_credential(_legacy.get("api_key")),
_strip_aux_credential(_legacy.get("base_url")),
_merge_request_overrides({}, _legacy.get("extra_body")),
)
# 3. Fall through to the main chat model
return _ReviewRuntimeBinding(_main_provider, _main_model, None, None, {})
return _ReviewRuntimeBinding(_main_provider, _main_model, None, None)
def _resolve_review_model(cfg: Dict[str, Any]) -> tuple[str, str]:
@@ -1866,11 +1801,6 @@ def _run_llm_review(prompt: str) -> Dict[str, Any]:
_base_url = None
_api_mode = None
_resolved_provider = None
_credential_pool = None
_request_overrides: Dict[str, Any] = {}
_max_tokens = None
_acp_command = None
_acp_args = None
_model_name = ""
try:
from hermes_cli.config import load_config
@@ -1888,16 +1818,6 @@ def _run_llm_review(prompt: str) -> Dict[str, Any]:
_base_url = _rp.get("base_url")
_api_mode = _rp.get("api_mode")
_resolved_provider = _rp.get("provider") or _provider
_credential_pool = _rp.get("credential_pool")
_request_overrides = _merge_request_overrides(
_rp.get("request_overrides"),
_binding.request_overrides.get("extra_body"),
)
_max_tokens = _rp.get("max_output_tokens")
_acp_command = _rp.get("command")
_acp_args = list(_rp.get("args") or [])
if isinstance(_rp.get("model"), str) and _rp["model"].strip():
_model_name = _rp["model"].strip()
except Exception as e:
logger.debug("Curator provider resolution failed: %s", e, exc_info=True)
@@ -1906,21 +1826,12 @@ def _run_llm_review(prompt: str) -> Dict[str, Any]:
review_agent = None
try:
_agent_kwargs: Dict[str, Any] = {}
if isinstance(_max_tokens, int):
_agent_kwargs["max_tokens"] = _max_tokens
if isinstance(_acp_command, str) and _acp_command:
_agent_kwargs["acp_command"] = _acp_command
_agent_kwargs["acp_args"] = _acp_args or []
review_agent = AIAgent(
model=_model_name,
provider=_resolved_provider,
api_key=_api_key,
base_url=_base_url,
api_mode=_api_mode,
credential_pool=_credential_pool,
request_overrides=_request_overrides,
**_agent_kwargs,
# Umbrella-building over a large skill collection is worth a
# high iteration ceiling — the pass typically takes 50-100
# API calls against hundreds of candidate skills. The
+1 -1
View File
@@ -556,7 +556,7 @@ def rollback(backup_id: Optional[str] = None) -> Tuple[bool, str, Optional[Path]
if target is None:
return (
False,
"no matching backup found"
f"no matching backup found"
+ (f" for id '{backup_id}'" if backup_id else "")
+ " (use `hermes curator rollback --list` to see available snapshots)",
None,
+7 -161
View File
@@ -27,14 +27,6 @@ logger = logging.getLogger(__name__)
_ANSI_RESET = "\033[0m"
def _display_url(value: Any) -> str:
"""Extract a display-only URL without assuming model argument types."""
if isinstance(value, dict):
value = value.get("url") or value.get("href")
return value.strip() if isinstance(value, str) else ""
# Diff colors — resolved lazily from the skin engine so they adapt
# to light/dark themes. Falls back to sensible defaults on import
# failure. We cache after first resolution for performance.
@@ -462,14 +454,13 @@ def build_tool_preview(tool_name: str, args: dict, max_len: int | None = None) -
sid = args.get("session_id", "")
data = args.get("data", "")
timeout_val = args.get("timeout")
parts = [str(action) if action else ""]
parts = [action]
if sid:
parts.append(str(sid)[:16])
parts.append(sid[:16])
if data:
parts.append(f'"{_oneline(str(data)[:20])}"')
parts.append(f'"{_oneline(data[:20])}"')
if timeout_val and action == "wait":
parts.append(f"{timeout_val}s")
parts = [p for p in parts if p]
return " ".join(parts) if parts else None
if tool_name == "todo":
@@ -524,16 +515,6 @@ def build_tool_preview(tool_name: str, args: dict, max_len: int | None = None) -
msg = msg[:17] + "..."
return f"to {target}: \"{msg}\""
if tool_name == "skill_view":
name = _oneline(str(args.get("name") or ""))
file_path = args.get("file_path")
if file_path:
file_path = _oneline(str(file_path))
preview = f"{name}{file_path}" if name else file_path
else:
preview = name
return _truncate_preview(preview, max_len) if preview else None
key = primary_args.get(tool_name)
if not key:
for fallback_key in ("query", "text", "command", "path", "name", "prompt", "code", "goal"):
@@ -556,122 +537,6 @@ def build_tool_preview(tool_name: str, args: dict, max_len: int | None = None) -
return preview
# =========================================================================
# Friendly tool labels (human-phrased verbs for built-in tools)
#
# Turns "web_search <query>" into "Searching the web for <query>" — the
# ChatGPT-style "Searching…/Reading…" surface. Curated and built-in only:
# we know each core tool's semantics, so the verb is fixed, not computed.
# Custom/plugin/MCP tools have no entry and fall back to the raw preview.
# =========================================================================
# Each entry maps a built-in tool name to its present-participle verb phrase.
# A trailing space-then-preview is appended by build_tool_label() when the
# tool's argument preview is available (e.g. "Reading docs/api.md").
_TOOL_VERBS: dict[str, str] = {
"web_search": "Searching the web",
"web_extract": "Reading",
"browser_navigate": "Browsing",
"browser_click": "Clicking",
"browser_type": "Typing",
"read_file": "Reading",
"write_file": "Writing",
"patch": "Editing",
"search_files": "Searching files",
"terminal": "Running",
"execute_code": "Running code",
"image_generate": "Generating image",
"video_generate": "Generating video",
"text_to_speech": "Generating speech",
"vision_analyze": "Looking at the image",
"session_search": "Searching past sessions",
"skill_view": "Reading skill",
"skills_list": "Listing skills",
"skill_manage": "Updating skill",
"delegate_task": "Delegating",
"cronjob": "Scheduling",
"clarify": "Asking",
"memory": "Updating memory",
"todo": "Updating tasks",
}
# Verbs that read better without the raw argument preview appended.
_TOOL_VERBS_NO_PREVIEW: frozenset[str] = frozenset({
"skills_list",
"session_search",
})
# Verbs that take a "for" connector before the preview (search-style phrasing):
# "Searching the web for <query>" reads better than "Searching the web <query>".
_TOOL_VERBS_FOR_CONNECTOR: frozenset[str] = frozenset({
"web_search",
"search_files",
})
_friendly_tool_labels: bool = True
def set_friendly_tool_labels(enabled: bool) -> None:
"""Toggle friendly human-phrased tool labels (display.friendly_tool_labels)."""
global _friendly_tool_labels
_friendly_tool_labels = bool(enabled)
def get_friendly_tool_labels() -> bool:
"""Return whether friendly tool labels are enabled."""
return _friendly_tool_labels
def get_tool_verb(tool_name: str) -> str | None:
"""Return the friendly verb for a built-in tool, or None.
Returns None when friendly labels are disabled or the tool has no curated
verb (custom/plugin/MCP tools). Callers that already hold a computed
argument preview can compose ``f"{verb} {preview}"`` themselves; use
:func:`tool_verb_connector` to pick the right joiner.
"""
if not _friendly_tool_labels:
return None
return _TOOL_VERBS.get(tool_name)
def tool_verb_connector(tool_name: str) -> str:
"""Return the connector between a verb and its preview (" for " or " ")."""
return " for " if tool_name in _TOOL_VERBS_FOR_CONNECTOR else " "
def verb_drops_preview(tool_name: str) -> bool:
"""Whether the verb should render alone, without the argument preview."""
return tool_name in _TOOL_VERBS_NO_PREVIEW
def build_tool_label(tool_name: str, args: dict, max_len: int | None = None) -> str | None:
"""Build a human-phrased status label for a tool call.
For built-in tools with a known verb (``web_search`` -> "Searching the
web for ..."), returns the verb optionally followed by the argument
preview. For everything else (custom/plugin/MCP tools, or when friendly
labels are disabled) returns the raw preview, so callers can use this as a
drop-in replacement for :func:`build_tool_preview`.
"""
if not _friendly_tool_labels:
return build_tool_preview(tool_name, args, max_len=max_len)
verb = _TOOL_VERBS.get(tool_name)
if not verb:
return build_tool_preview(tool_name, args, max_len=max_len)
if tool_name in _TOOL_VERBS_NO_PREVIEW:
return verb
preview = build_tool_preview(tool_name, args, max_len=max_len)
if not preview:
return verb
if tool_name in _TOOL_VERBS_FOR_CONNECTOR:
return f"{verb} for {preview}"
return f"{verb} {preview}"
# =========================================================================
# Inline diff previews for write actions
# =========================================================================
@@ -1268,7 +1133,7 @@ def _detect_tool_failure(tool_name: str, result: str | None) -> tuple[bool, str]
return False, ""
def _get_cute_tool_message(
def get_cute_tool_message(
tool_name: str, args: dict, duration: float, result: str | None = None,
) -> str:
"""Generate a formatted tool completion line for CLI quiet mode.
@@ -1310,11 +1175,9 @@ def _get_cute_tool_message(
if tool_name == "web_extract":
urls = args.get("urls", [])
if urls:
url = _display_url(urls[0] if isinstance(urls, list) else urls)
if not url:
return _wrap(f"┊ 📄 fetch pages {dur}")
url = urls[0] if isinstance(urls, list) else str(urls)
domain = url.replace("https://", "").replace("http://", "").split("/")[0]
extra = f" +{len(urls)-1}" if isinstance(urls, list) and len(urls) > 1 else ""
extra = f" +{len(urls)-1}" if len(urls) > 1 else ""
return _wrap(f"┊ 📄 fetch {_trunc(domain, 35)}{extra} {dur}")
return _wrap(f"┊ 📄 fetch pages {dur}")
if tool_name == "terminal":
@@ -1405,11 +1268,7 @@ def _get_cute_tool_message(
if tool_name == "skills_list":
return _wrap(f"┊ 📚 skills list {args.get('category', 'all')} {dur}")
if tool_name == "skill_view":
label = args.get("name", "")
file_path = args.get("file_path")
if file_path:
label = f"{label}{file_path}" if label else str(file_path)
return _wrap(f"┊ 📚 skill {_trunc(label, 44)} {dur}")
return _wrap(f"┊ 📚 skill {_trunc(args.get('name', ''), 30)} {dur}")
if tool_name == "image_generate":
return _wrap(f"┊ 🎨 create {_trunc(args.get('prompt', ''), 35)} {dur}")
if tool_name == "text_to_speech":
@@ -1444,19 +1303,6 @@ def _get_cute_tool_message(
return _wrap(f"┊ ⚡ {tool_name[:9]:9} {_trunc(preview, 35)} {dur}")
def get_cute_tool_message(
tool_name: str, args: dict, duration: float, result: str | None = None,
) -> str:
"""Render a completion label without letting cosmetic failures escape."""
try:
return _get_cute_tool_message(tool_name, args, duration, result=result)
except Exception as exc: # noqa: BLE001 — display must never abort a turn
logger.debug("Tool completion label failed for %s: %s", tool_name, exc)
safe_name = tool_name[:9] if isinstance(tool_name, str) and tool_name else "tool"
safe_duration = f"{duration:.1f}s" if isinstance(duration, (int, float)) else "done"
return f"┊ ⚡ {safe_name:9} completed {safe_duration}"
# =========================================================================
# Honcho session line (one-liner with clickable OSC 8 hyperlink)
# =========================================================================
+27 -280
View File
@@ -31,9 +31,6 @@ class FailoverReason(enum.Enum):
# Billing / quota
billing = "billing" # 402 or confirmed credit exhaustion — rotate immediately
rate_limit = "rate_limit" # 429 or quota-based throttling — backoff then rotate
# Upstream model rate-limited (aggregator 429) — fallback to a different
# model, NOT credential rotation. The user's key is healthy.
upstream_rate_limit = "upstream_rate_limit"
# Server-side
overloaded = "overloaded" # 503/529 — provider overloaded, backoff
@@ -41,11 +38,6 @@ class FailoverReason(enum.Enum):
# Transport
timeout = "timeout" # Connection/read timeout — rebuild client + retry
# TLS certificate verification failure — deterministic for the host
# (TLS-inspecting proxy, missing/expired CA bundle, self-signed cert).
# Retrying reproduces the identical handshake failure, so fail fast
# with actionable guidance instead of burning retries.
ssl_cert_verification = "ssl_cert_verification"
# Context / payload
context_overflow = "context_overflow" # Context too large — compress, not failover
@@ -115,7 +107,6 @@ _BILLING_PATTERNS = [
"exceeded your current quota",
"account is deactivated",
"plan does not include",
"out of extra usage", # Anthropic OAuth Pro/Max overage bucket depleted (HTTP 400)
"out of funds",
"run out of funds",
"balance_depleted",
@@ -123,25 +114,6 @@ _BILLING_PATTERNS = [
"not available on the free tier",
]
# xAI's explicit Grok credit-exhaustion code. Keep the HTTP 403 special case
# provider-scoped: other providers' generic billing codes historically remain
# auth failures when they arrive as 403.
_XAI_SPENDING_LIMIT_ERROR_CODE = "personal-team-blocked:spending-limit"
# Structured provider codes that mean the account cannot serve paid traffic
# until credits/subscription capacity is restored. xAI returns its explicit
# Grok spending-limit signal as HTTP 403 rather than 402.
_BILLING_ERROR_CODES = frozenset({
"insufficient_quota",
"billing_not_active",
"payment_required",
"insufficient_credits",
"no_usable_credits",
"balance_depleted",
"model_not_supported_on_free_tier",
_XAI_SPENDING_LIMIT_ERROR_CODE,
})
# Patterns that indicate rate limiting (transient, will resolve)
_RATE_LIMIT_PATTERNS = [
"rate limit",
@@ -161,31 +133,6 @@ _RATE_LIMIT_PATTERNS = [
"servicequotaexceededexception",
]
# Patterns that indicate provider-side overload, NOT a per-credential rate
# limit or billing problem. The credential is valid — the server is just
# busy — so the correct recovery is "back off and retry the same key", never
# "rotate the credential" (rotating exhausts the pool while the endpoint is
# still busy; a single-key user has nothing to rotate to). Some providers
# (notably Z.AI / Zhipu) reuse HTTP 429 for server-wide overload, so the 429
# status path matches the body against this list before falling through to
# the rate_limit default. Phrases are kept narrow and overload-flavoured so a
# normal rate-limit message ("you have been rate-limited") doesn't hit this
# bucket. (#14038, #15297)
_OVERLOADED_PATTERNS = [
"overloaded",
"temporarily overloaded",
"service is temporarily overloaded",
"service may be temporarily overloaded",
"server is overloaded",
"server overloaded",
"service overloaded",
"service is overloaded",
"upstream overloaded",
"currently overloaded",
"at capacity",
"over capacity",
]
# Usage-limit patterns that need disambiguation (could be billing OR rate_limit)
_USAGE_LIMIT_PATTERNS = [
"usage limit",
@@ -286,8 +233,6 @@ _CONTEXT_OVERFLOW_PATTERNS = [
# Chinese error messages (some providers return these)
"超过最大长度",
"上下文长度",
# Z.AI / Zhipu GLM pattern (English form; error code 1210)
"tokens in request more than max tokens allowed",
# AWS Bedrock Converse API error patterns
"input is too long",
"max input token",
@@ -305,15 +250,6 @@ _MODEL_NOT_FOUND_PATTERNS = [
"no such model",
"unknown model",
"unsupported model",
# OpenRouter returns 404 with this message when none of the candidate
# endpoints for the selected model support tool/function calling.
# Classifying this as model_not_found triggers fallback to a different
# model or provider that does support tools. Without this entry the
# pattern falls through to ``unknown`` with ``retryable=True``, the
# retry loop burns all attempts on the same deterministic rejection,
# and the error surfaces as a confusing "model not found" message
# instead of automatically failing over. See PR #58446.
"no endpoints found that support tool use",
]
# Request-validation patterns — the request is malformed and will fail
@@ -394,14 +330,6 @@ _CONTENT_POLICY_BLOCKED_PATTERNS = [
# echo back; the underscore form is provider-specific enough.
"content_filter",
"responsibleaipolicyviolation",
# MiniMax output-layer safety filter. The error string is surfaced
# verbatim by MiniMax SDK / OpenAI-compatible endpoints, usually in the
# form "output new_sensitive (1027)" when the model's *output* (often a
# large tool-call argument block) trips the upstream safety filter and
# the SSE stream is truncated mid-flight. ``new_sensitive`` is the
# filter name and is narrow enough that billing / format / auth error
# strings will not collide. See #32421.
"new_sensitive",
]
# Auth patterns (non-status-code signals)
@@ -473,29 +401,6 @@ _SERVER_DISCONNECT_PATTERNS = [
"incomplete chunked read",
]
# SSL certificate verification failures — deterministic, NOT transient.
#
# A failed certificate chain (TLS-inspecting corporate proxy, missing
# custom CA in the trust store, expired certificate, self-signed cert)
# fails identically on every retry. Burning the retry budget before
# surfacing the error hides the actionable fix from the user for minutes.
# Inspired by Claude Code v2.1.199 (July 2026), which made SSL certificate
# errors fail immediately with a fix hint instead of retrying.
#
# Must be checked BEFORE _SSL_TRANSIENT_PATTERNS — "certificate verify
# failed" messages usually also contain "[SSL:" which would otherwise
# match the transient list and retry forever.
_SSL_CERT_VERIFY_PATTERNS = [
"certificate verify failed", # Python ssl module canonical text
"certificate_verify_failed", # OpenSSL error token
"unable to get local issuer certificate",
"self-signed certificate",
"self signed certificate",
"certificate has expired",
"hostname mismatch, certificate is not valid",
"unable to verify the first certificate", # Node/undici phrasing (MCP bridges)
]
# SSL/TLS transient failure patterns — intentionally distinct from
# _SERVER_DISCONNECT_PATTERNS above.
#
@@ -793,22 +698,7 @@ def classify_api_error(
if classified is not None:
return classified
# ── 5. SSL certificate verification failures → fail fast ────────
# A broken certificate chain (TLS-inspecting proxy, missing custom CA,
# expired/self-signed cert) is deterministic for the host — every retry
# reproduces the identical handshake failure. Fail immediately with
# actionable guidance instead of burning the retry budget first.
# Checked BEFORE the transient-SSL patterns: cert-verify messages also
# contain "[ssl:" which would otherwise match the transient list.
# Inspired by Claude Code v2.1.199 (July 2026).
if any(p in error_msg for p in _SSL_CERT_VERIFY_PATTERNS):
return _result(
FailoverReason.ssl_cert_verification,
retryable=False,
should_fallback=False,
)
# ── 5b. SSL/TLS transient errors → retry as timeout (not compression) ──
# ── 5. SSL/TLS transient errors → retry as timeout (not compression) ──
# SSL alerts mid-stream are transport hiccups, not server-side context
# overflow signals. Classify before the disconnect check so a large
# session doesn't incorrectly trigger context compression when the real
@@ -861,34 +751,12 @@ def classify_api_error(
)
return _result(FailoverReason.timeout, retryable=True)
# ── 7b. Stale-call circuit breaker → failover immediately ──────
# _check_stale_giveup() in agent/chat_completion_helpers.py raises a
# RuntimeError when the provider has been unresponsive for N
# consecutive stale attempts (default 5). The error is NOT a transport
# timeout — the circuit breaker fires *before* any network call to avoid
# an indefinite stall. Without this classification the RuntimeError
# falls through to FailoverReason.unknown (retryable=True), which burns
# all max_retries against the same dead provider (each retry hitting the
# circuit breaker instantly with zero network overhead) before fallback
# is attempted. Classify as non-retryable + should_fallback so the
# retry loop activates the next fallback provider on the first hit.
if (
error_type == "RuntimeError"
and "consecutive stale attempts" in error_msg
and "aborting this call" in error_msg
):
return _result(
FailoverReason.timeout,
retryable=False,
should_fallback=True,
)
# ── 8. Transport / timeout heuristics ───────────────────────────
# ── 7. Transport / timeout heuristics ───────────────────────────
if error_type in _TRANSPORT_ERROR_TYPES or isinstance(error, (TimeoutError, ConnectionError, OSError)):
return _result(FailoverReason.timeout, retryable=True)
# ── 9. Fallback: unknown ────────────────────────────────────────
# ── 8. Fallback: unknown ────────────────────────────────────────
return _result(FailoverReason.unknown, retryable=True)
@@ -927,11 +795,7 @@ def _classify_by_status(
# OpenRouter 403 "key limit exceeded" is actually billing. Other
# providers also use 403 for account-plan or credit exhaustion.
if (
(
provider == "xai-oauth"
and error_code.lower() == _XAI_SPENDING_LIMIT_ERROR_CODE
)
or "key limit exceeded" in error_msg
"key limit exceeded" in error_msg
or "spending limit" in error_msg
or any(p in error_msg for p in _BILLING_PATTERNS)
):
@@ -999,35 +863,7 @@ def _classify_by_status(
)
if status_code == 429:
# Already checked long_context_tier above. Some providers (notably
# Z.AI / Zhipu) reuse HTTP 429 for server-wide overload — same status
# code as a true per-credential rate limit, but the credential is
# valid and the correct recovery is "back off and retry the same key",
# NOT "rotate the credential" (which exhausts the pool while the
# endpoint is still busy, and does nothing for a single-key user).
# Disambiguate on the error body so an overload 429 takes the
# transient-overload path instead of burning the pool. (#14038)
if any(p in error_msg for p in _OVERLOADED_PATTERNS):
return result_fn(
FailoverReason.overloaded,
retryable=True,
)
# Distinguish an OpenRouter-aggregator upstream 429 (an upstream model
# like DeepSeek rate-limited OpenRouter's aggregate traffic) from an
# account-level 429 (the user's key is actually throttled). OpenRouter
# wraps upstream errors with the outer message "Provider returned
# error" — the user's key is healthy, so marking it exhausted / rotating
# is wrong and burns the key for ~24min. Fall back to a different model.
if _is_openrouter_upstream_error(body, provider):
upstream_provider = _extract_upstream_provider_name(body)
ctx = {"upstream_provider": upstream_provider} if upstream_provider else {}
return result_fn(
FailoverReason.upstream_rate_limit,
retryable=True,
should_rotate_credential=False,
should_fallback=True,
error_context=ctx,
)
# Already checked long_context_tier above; this is a normal rate limit
return result_fn(
FailoverReason.rate_limit,
retryable=True,
@@ -1063,44 +899,11 @@ def _classify_by_status(
retryable=False,
should_fallback=True,
)
# Some local inference servers (notably llama.cpp / llama-server)
# report context overflow with an HTTP 500 instead of the standard
# 400/413. The request-validation guard above already ran, so any
# remaining explicit context-overflow signal routes into the
# compression-and-retry path (mirroring _classify_400) instead of
# blind server_error retries that exhaust and drop the turn.
if any(p in error_msg for p in _CONTEXT_OVERFLOW_PATTERNS):
return result_fn(
FailoverReason.context_overflow,
retryable=True,
should_compress=True,
)
return result_fn(FailoverReason.server_error, retryable=True)
if status_code in {503, 529}:
# Same overflow-as-5xx variant (server busy / model-load OOM, or a
# Cloudflare/Tailscale hop relabeling the status). Route explicit
# overflow bodies into compression; otherwise treat as transient
# overload and retry.
if any(p in error_msg for p in _CONTEXT_OVERFLOW_PATTERNS):
return result_fn(
FailoverReason.context_overflow,
retryable=True,
should_compress=True,
)
return result_fn(FailoverReason.overloaded, retryable=True)
# 408 Request Timeout — a transient timing failure the server itself flags
# as safe to retry (RFC 9110 §15.5.9), not a malformed request. Commonly
# emitted by reverse proxies sitting in front of self-hosted backends
# (llama.cpp / Ollama / vLLM) when a long generation outruns the proxy's
# request-read window. Route to the dedicated ``timeout`` reason (rebuild
# client + retry) instead of falling through to the generic 4xx bucket
# below, which would abort the turn on a retry-safe error the same way it
# aborts a 400 Bad Request.
if status_code == 408:
return result_fn(FailoverReason.timeout, retryable=True)
# Other 4xx — non-retryable
if 400 <= status_code < 500:
return result_fn(
@@ -1194,7 +997,6 @@ def _classify_400(
"encrypted content for item" in error_msg
and "could not be verified" in error_msg
)
or "could not decrypt the provided encrypted_content" in error_msg
):
return result_fn(
FailoverReason.invalid_encrypted_content,
@@ -1317,7 +1119,15 @@ def _classify_by_error_code(
should_rotate_credential=True,
)
if code_lower in _BILLING_ERROR_CODES:
if code_lower in {
"insufficient_quota",
"billing_not_active",
"payment_required",
"insufficient_credits",
"no_usable_credits",
"balance_depleted",
"model_not_supported_on_free_tier",
}:
return result_fn(
FailoverReason.billing,
retryable=False,
@@ -1404,17 +1214,6 @@ def _classify_by_message(
should_fallback=True,
)
# Overloaded / server-busy patterns — must come BEFORE the rate_limit and
# billing checks so that a message-only "overloaded" (no 503/529 status,
# e.g. some Anthropic-compatible proxies) classifies as a transient
# overload (backoff + retry) instead of falling through to `unknown` or
# incorrectly triggering credential rotation.
if any(p in error_msg for p in _OVERLOADED_PATTERNS):
return result_fn(
FailoverReason.overloaded,
retryable=True,
)
# Billing patterns
if any(p in error_msg for p in _BILLING_PATTERNS):
return result_fn(
@@ -1504,25 +1303,19 @@ def _extract_status_code(error: Exception) -> Optional[int]:
def _extract_error_body(error: Exception) -> dict:
"""Extract the structured error body from an SDK exception or its cause chain."""
current = error
for _ in range(5): # Match _extract_status_code() traversal depth.
body = getattr(current, "body", None)
if isinstance(body, dict):
return body
# Some errors have .response.json()
response = getattr(current, "response", None)
if response is not None:
try:
json_body = response.json()
if isinstance(json_body, dict):
return json_body
except Exception:
pass
cause = getattr(current, "__cause__", None) or getattr(current, "__context__", None)
if cause is None or cause is current:
break
current = cause
"""Extract the structured error body from an SDK exception."""
body = getattr(error, "body", None)
if isinstance(body, dict):
return body
# Some errors have .response.json()
response = getattr(error, "response", None)
if response is not None:
try:
json_body = response.json()
if isinstance(json_body, dict):
return json_body
except Exception:
pass
return {}
@@ -1590,49 +1383,3 @@ def _extract_message(error: Exception, body: dict) -> str:
return msg.strip()[:500]
# Fallback to str(error)
return str(error)[:500]
def _is_openrouter_upstream_error(body: Any, provider: str) -> bool:
"""Detect OpenRouter's aggregator-wrapped upstream provider errors.
OpenRouter returns errors from upstream model providers (DeepSeek,
Anthropic, etc.) wrapped with the outer message "Provider returned error"
and the real error nested in ``metadata.raw``. This signal means the
user's OpenRouter key is healthy — the upstream provider is the one that
failed so credential rotation is the wrong recovery.
"""
if not isinstance(body, dict):
return False
provider_lower = (provider or "").strip().lower()
err = body.get("error")
if not isinstance(err, dict):
return False
outer_msg = str(err.get("message") or "").strip().lower()
if outer_msg != "provider returned error":
return False
# Require either the explicit OpenRouter provider OR the metadata shape
# that only OpenRouter produces (metadata.raw / metadata.provider_name).
if provider_lower == "openrouter":
return True
metadata = err.get("metadata")
if isinstance(metadata, dict) and (
"raw" in metadata or "provider_name" in metadata
):
return True
return False
def _extract_upstream_provider_name(body: Any) -> Optional[str]:
"""Pull the upstream provider name out of OpenRouter's error metadata."""
if not isinstance(body, dict):
return None
err = body.get("error")
if not isinstance(err, dict):
return None
metadata = err.get("metadata")
if not isinstance(metadata, dict):
return None
name = metadata.get("provider_name")
if isinstance(name, str) and name.strip():
return name.strip()
return None
-6
View File
@@ -1,9 +1,3 @@
class SSLConfigurationError(Exception):
"""Raised when SSL/TLS certificate bundle configuration fails."""
pass
class EmptyStreamError(RuntimeError):
"""Raised when a provider closes a stream without yielding a response."""
pass
+20 -87
View File
@@ -77,34 +77,27 @@ def build_write_denied_prefixes(home: str) -> list[str]:
]
def get_safe_write_roots() -> set[str]:
"""Return resolved HERMES_WRITE_SAFE_ROOT paths. Supports multiple directories
separated by ``os.pathsep`` (``:`` on Unix, ``;`` on Windows).
E.g., ``/opt/data:/var/www/html`` on Unix, ``C:\\data;D:\\www`` on Windows."""
env = os.getenv("HERMES_WRITE_SAFE_ROOT", "")
if not env:
return set()
roots: set[str] = set()
for path in env.split(os.pathsep):
if path:
try:
resolved = os.path.realpath(os.path.expanduser(path))
roots.add(resolved)
except (OSError, ValueError):
continue
return roots
def get_safe_write_root() -> Optional[str]:
"""Return the resolved HERMES_WRITE_SAFE_ROOT path, or None if unset."""
root = os.getenv("HERMES_WRITE_SAFE_ROOT", "")
if not root:
return None
try:
return os.path.realpath(os.path.expanduser(root))
except Exception:
return None
def _classify_write_denial(path: str) -> Optional[str]:
"""Return ``'credential'``, ``'safe_root'``, or ``None`` if writes are allowed."""
def is_write_denied(path: str) -> bool:
"""Return True if path is blocked by the write denylist or safe root."""
home = os.path.realpath(os.path.expanduser("~"))
resolved = os.path.realpath(os.path.expanduser(str(path)))
if resolved in build_write_denied_paths(home):
return "credential"
return True
for prefix in build_write_denied_prefixes(home):
if resolved.startswith(prefix):
return "credential"
return True
mcp_tokens_dir_name = "mcp-tokens"
@@ -118,60 +111,24 @@ def _classify_write_denial(path: str) -> Optional[str]:
continue
for base_real in hermes_dirs:
# Session transcripts are application-owned state. Letting the agent's
# generic file tools rewrite state.db or legacy JSON snapshots can
# falsify conversation history and invalidate resume/compression state.
try:
if resolved == os.path.realpath(os.path.join(base_real, "state.db")):
return True
sessions_real = os.path.realpath(os.path.join(base_real, "sessions"))
if resolved == sessions_real or resolved.startswith(sessions_real + os.sep):
return True
except Exception:
pass
try:
mcp_real = os.path.realpath(os.path.join(base_real, mcp_tokens_dir_name))
if resolved == mcp_real or resolved.startswith(mcp_real + os.sep):
return "credential"
return True
except Exception:
pass
try:
pairing_real = os.path.realpath(os.path.join(base_real, "pairing"))
if resolved == pairing_real or resolved.startswith(pairing_real + os.sep):
return "credential"
return True
except Exception:
pass
safe_roots = get_safe_write_roots()
if safe_roots:
allowed = False
for safe_root in safe_roots:
if resolved == safe_root or resolved.startswith(safe_root + os.sep):
allowed = True
break
if not allowed:
return "safe_root"
safe_root = get_safe_write_root()
if safe_root and not (resolved == safe_root or resolved.startswith(safe_root + os.sep)):
return True
return None
def is_write_denied(path: str) -> bool:
"""Return True if path is blocked by the write denylist or safe root."""
return _classify_write_denial(path) is not None
def get_write_denied_error(path: str, *, verb: str = "Write") -> Optional[str]:
"""Return a user/model-facing error when writes to ``path`` are blocked."""
denial = _classify_write_denial(path)
if denial is None:
return None
if denial == "safe_root":
roots_display = os.pathsep.join(sorted(get_safe_write_roots()))
return (
f"{verb} denied: '{path}' is outside HERMES_WRITE_SAFE_ROOT "
f"({roots_display}). Unset the variable or add this path's directory prefix."
)
return f"{verb} denied: '{path}' is a protected system/credential file."
return False
# Common secret-bearing project-local environment file basenames.
@@ -323,7 +280,7 @@ def get_read_block_error(path: str) -> Optional[str]:
# .env contents — .env.example is the documented-shape substitute. The
# terminal tool can still ``cat .env``; this is defense-in-depth, not a
# boundary (see module docstring).
if resolved.name.lower() in _BLOCKED_PROJECT_ENV_BASENAMES:
if resolved.name in _BLOCKED_PROJECT_ENV_BASENAMES:
return (
f"Access denied: {path} is a secret-bearing environment file "
"and cannot be read to prevent credential leakage. "
@@ -334,30 +291,6 @@ def get_read_block_error(path: str) -> Optional[str]:
return None
def raise_if_read_blocked(path: str) -> None:
"""Raise ``ValueError`` if ``path`` is a denied Hermes read (see
:func:`get_read_block_error`), else return.
Shared chokepoint for provider input-loading sites that read a local
file the model/tool supplied (e.g. image-gen ``image_url`` /
``reference_image_urls`` paths). Centralizes the guard so every provider
enforces the same read boundary with identical semantics instead of each
open-coding the try/except block (#57698).
Best-effort by design: if ``agent.file_safety`` machinery is somehow
unavailable at the call site the guard no-ops rather than breaking local
image loading consistent with the defense-in-depth (not security
boundary) framing of the denylist itself. The blocking ``ValueError`` from
a real hit still propagates; only unexpected internal errors are swallowed.
"""
try:
blocked = get_read_block_error(path)
except Exception: # noqa: BLE001 - guard must never break local-file loading
return
if blocked:
raise ValueError(blocked)
# ---------------------------------------------------------------------------
# Cross-profile write guard (#TBD)
#
+10 -44
View File
@@ -27,18 +27,10 @@ from typing import Any, Dict, Iterator, List, Optional
import httpx
from agent.bounded_response import read_streaming_error_body
from agent.gemini_schema import sanitize_gemini_tool_parameters
logger = logging.getLogger(__name__)
try:
import hermes_cli as _hermes_cli
_HERMES_VERSION = str(_hermes_cli.__version__)
except Exception:
_HERMES_VERSION = "0.0.0"
DEFAULT_GEMINI_BASE_URL = "https://generativelanguage.googleapis.com/v1beta"
# Published max output-token ceiling shared by every current Gemini text model
@@ -106,10 +98,7 @@ def probe_gemini_tier(
url,
params={"key": key},
json=payload,
headers={
"Content-Type": "application/json",
"X-Goog-Api-Client": f"hermes-agent/{_HERMES_VERSION}",
},
headers={"Content-Type": "application/json"},
)
except Exception as exc:
logger.debug("probe_gemini_tier: network error: %s", exc)
@@ -348,22 +337,6 @@ def _build_gemini_contents(messages: List[Dict[str, Any]]) -> tuple[List[Dict[st
if parts:
contents.append({"role": gemini_role, "parts": parts})
# Gemini's generateContent requires strict user/model alternation;
# consecutive same-role contents are rejected with HTTP 400 "Please ensure
# that multiturn requests alternate between user and model". The loop above
# emits one content per source message, so parallel tool calls (N tool
# results become N user functionResponse contents), back-to-back user turns,
# or merged assistant turns would each violate that. Merge adjacent
# same-role contents by concatenating their parts. For parallel calls this
# also produces the grouped multi-functionResponse turn Gemini expects.
merged_contents: List[Dict[str, Any]] = []
for content in contents:
if merged_contents and merged_contents[-1]["role"] == content["role"]:
merged_contents[-1]["parts"].extend(content["parts"])
else:
merged_contents.append(content)
contents = merged_contents
system_instruction = None
joined_system = "\n".join(part for part in system_text_parts if part).strip()
if joined_system:
@@ -753,17 +726,14 @@ def translate_stream_event(event: Dict[str, Any], model: str, tool_call_indices:
return chunks
def gemini_http_error(
response: httpx.Response, *, body_text: Optional[str] = None
) -> GeminiAPIError:
def gemini_http_error(response: httpx.Response) -> GeminiAPIError:
status = response.status_code
body_text = ""
body_json: Dict[str, Any] = {}
if body_text is None:
try:
body_text = response.text
except Exception:
body_text = ""
body_text = body_text or ""
try:
body_text = response.text
except Exception:
body_text = ""
if body_text:
try:
parsed = json.loads(body_text)
@@ -911,11 +881,7 @@ class GeminiNativeClient:
"Content-Type": "application/json",
"Accept": "application/json",
"x-goog-api-key": self.api_key,
# Include Hermes client context following Gemini's partner
# integration guidance.
# See https://ai.google.dev/gemini-api/docs/partner-integration
"User-Agent": f"hermes-agent/{_HERMES_VERSION} (gemini-native)",
"X-Goog-Api-Client": f"hermes-agent/{_HERMES_VERSION}",
"User-Agent": "hermes-agent (gemini-native)",
}
headers.update(self._default_headers)
return headers
@@ -986,8 +952,8 @@ class GeminiNativeClient:
try:
with self._http.stream("POST", url, json=request, headers=stream_headers, timeout=timeout) as response:
if response.status_code != 200:
body_text = read_streaming_error_body(response)
raise gemini_http_error(response, body_text=body_text)
response.read()
raise gemini_http_error(response)
tool_call_indices: Dict[str, Dict[str, Any]] = {}
for event in _iter_sse_events(response):
for chunk in translate_stream_event(event, model, tool_call_indices):
-24
View File
@@ -87,30 +87,6 @@ def sanitize_gemini_schema(schema: Any) -> Dict[str, Any]:
if any(not isinstance(item, str) for item in enum_val):
cleaned.pop("enum", None)
# Gemini validates ``required`` strictly against the same node's
# ``properties`` — GenerateContentRequest fails with HTTP 400
# "...items.required[0]: property is not defined" when a required name
# has no matching property in that node. MCP servers routinely emit
# this shape (e.g. the GitHub remote MCP's array item schemas carry
# ``required`` without ``properties``), and one bad tool schema fails
# the ENTIRE request before any model output. Filter ``required`` to
# names that exist in this node's ``properties`` and drop it when
# nothing valid remains. The tool handler still validates required
# fields at execution time, so this only removes what Gemini couldn't
# accept anyway. (Port of Kilo-Org/kilocode#11955.)
required_val = cleaned.get("required")
if isinstance(required_val, list):
props_val = cleaned.get("properties")
prop_names = set(props_val.keys()) if isinstance(props_val, dict) else set()
valid_required = [
name for name in required_val
if isinstance(name, str) and name in prop_names
]
if not valid_required:
cleaned.pop("required", None)
elif len(valid_required) != len(required_val):
cleaned["required"] = valid_required
return cleaned
+27 -254
View File
@@ -17,17 +17,13 @@ It reads ``agent.image_input_mode`` from config.yaml (``auto`` | ``native``
| ``text``, default ``auto``) and the active model's capability metadata.
In ``auto`` mode:
- If the active model reports ``supports_vision=True`` (via config
override or models.dev metadata), we attach natively vision-capable
main models should always see the original pixels, even when an
auxiliary vision backend is configured. That auxiliary backend then
acts as a *fallback* for sessions whose main model can't take images.
- Otherwise, if the user has explicitly configured ``auxiliary.vision``
(provider/model/base_url not ``auto``/empty), we route through the
text pipeline so the auxiliary vision backend can describe the image
for the text-only main model.
- Otherwise (non-vision model, no explicit override), we fall back to
text via the default vision_analyze flow.
- If the user has explicitly configured ``auxiliary.vision.provider``
(i.e. not ``auto`` and not empty), we assume they want the text pipeline
regardless of the main model they've opted in to a specific vision
backend for a reason (cost, quality, local-only, etc.).
- Otherwise, if the active model reports ``supports_vision=True`` in its
models.dev metadata, we attach natively.
- Otherwise (non-vision model, no explicit override), we fall back to text.
This keeps ``vision_analyze`` surfaced as a tool in every session skills
and agent flows that chain it (browser screenshots, deeper inspection of
@@ -189,8 +185,7 @@ def _supports_vision_override(
2. ``providers.<provider>.models.<model>.supports_vision``
(named custom providers ``provider`` may be the runtime-resolved
value ``"custom"`` and/or the user-declared name under
``model.provider``; both are tried. For ``custom:<name>`` syntax,
the stripped ``<name>`` is also tried as a provider key.)
``model.provider``; both are tried)
Returns None when no override is set, so the caller falls through to
models.dev. Returns False explicitly only when the user wrote a
@@ -210,16 +205,11 @@ def _supports_vision_override(
# get rewritten to provider="custom" at runtime
# (hermes_cli/runtime_provider.py:_resolve_named_custom_runtime), so the
# config still holds the user-declared name under model.provider. Try
# both as candidate provider keys, plus the stripped suffix from
# "custom:<name>" (where <name> is the key under providers:).
# both as candidate provider keys.
config_provider = str(model_cfg.get("provider") or "").strip()
# Extract the stripped name from "custom:<name>" if present
stripped_suffix = ""
if config_provider.startswith("custom:"):
stripped_suffix = config_provider[len("custom:"):]
providers_raw = cfg.get("providers")
providers_cfg: Dict[str, Any] = providers_raw if isinstance(providers_raw, dict) else {}
for p in dict.fromkeys(filter(None, (provider, config_provider, stripped_suffix))):
for p in dict.fromkeys(filter(None, (provider, config_provider))):
entry_raw = providers_cfg.get(p)
entry: Dict[str, Any] = entry_raw if isinstance(entry_raw, dict) else {}
models_raw = entry.get("models")
@@ -261,80 +251,6 @@ def _supports_vision_override(
return None
def _resolve_inference_base_url(
cfg: Optional[Dict[str, Any]],
provider: str,
) -> str:
"""Best-effort base URL for the active inference provider."""
try:
from agent.auxiliary_client import _runtime_main_value
runtime = str(_runtime_main_value("base_url") or "").strip()
runtime_provider = str(_runtime_main_value("provider") or "").strip().lower()
requested_provider = str(provider or "").strip().lower()
if runtime and (not requested_provider or requested_provider == runtime_provider):
return runtime
except Exception:
pass
if not isinstance(cfg, dict):
return ""
model_cfg_raw = cfg.get("model")
model_cfg: Dict[str, Any] = model_cfg_raw if isinstance(model_cfg_raw, dict) else {}
base_url = str(model_cfg.get("base_url") or "").strip()
if base_url:
return base_url
config_provider = str(model_cfg.get("provider") or "").strip()
candidate_names: set[str] = set()
for p in filter(None, (provider, config_provider)):
candidate_names.add(p)
if p.lower().startswith("custom:"):
candidate_names.add(p.split(":", 1)[1])
else:
candidate_names.add(f"custom:{p}")
providers_cfg = cfg.get("providers")
if isinstance(providers_cfg, dict):
for name in candidate_names:
entry = providers_cfg.get(name)
if isinstance(entry, dict):
bu = str(entry.get("base_url") or "").strip()
if bu:
return bu
custom_providers = cfg.get("custom_providers")
if isinstance(custom_providers, list):
lowered = {n.lower() for n in candidate_names}
for entry_raw in custom_providers:
if not isinstance(entry_raw, dict):
continue
entry_name = str(entry_raw.get("name") or "").strip()
if entry_name not in candidate_names and entry_name.lower() not in lowered:
continue
bu = str(entry_raw.get("base_url") or "").strip()
if bu:
return bu
return ""
def _should_probe_ollama_vision(provider: str, base_url: str) -> bool:
"""True when the active provider likely fronts a local Ollama server."""
p = (provider or "").strip().lower()
if p == "ollama":
return True
if not base_url:
return False
try:
from agent.model_metadata import detect_local_server_type
return detect_local_server_type(base_url) == "ollama"
except Exception:
return False
def _coerce_mode(raw: Any) -> str:
"""Normalize a config value into one of the valid modes."""
if not isinstance(raw, str):
@@ -348,10 +264,8 @@ def _coerce_mode(raw: Any) -> str:
def _explicit_aux_vision_override(cfg: Optional[Dict[str, Any]]) -> bool:
"""True when the user configured a specific auxiliary vision backend.
An explicit override means the user has a dedicated vision backend
available; it's used as a *fallback* when the main model can't take
images natively. In ``auto`` mode, native vision on a vision-capable
main model still wins over this fallback see issue #29135.
An explicit override means the user *wants* the text pipeline (they're
paying for a dedicated vision model), so we don't silently bypass it.
"""
if not isinstance(cfg, dict):
return False
@@ -388,33 +302,15 @@ def _lookup_supports_vision(
return override
if not provider or not model:
return None
caps = None
try:
from agent.models_dev import get_model_capabilities
caps = get_model_capabilities(provider, model)
except Exception as exc: # pragma: no cover - defensive
logger.debug("image_routing: caps lookup failed for %s:%s%s", provider, model, exc)
if caps is not None:
return bool(caps.supports_vision)
base_url = _resolve_inference_base_url(cfg, provider)
if not base_url and (provider or "").strip().lower() == "ollama":
base_url = "http://localhost:11434/v1"
if _should_probe_ollama_vision(provider, base_url):
try:
from agent.model_metadata import query_ollama_supports_vision
ollama_vision = query_ollama_supports_vision(model, base_url)
if ollama_vision is not None:
return ollama_vision
except Exception as exc: # pragma: no cover - defensive
logger.debug(
"image_routing: ollama vision probe failed for %s:%s%s",
provider,
model,
exc,
)
return None
return None
if caps is None:
return None
return bool(caps.supports_vision)
def decide_image_input_mode(
@@ -440,15 +336,13 @@ def decide_image_input_mode(
if mode_cfg == "text":
return "text"
# auto: prefer native vision when the main model supports it. An
# explicit auxiliary.vision config acts as a *fallback* for text-only
# main models — it should not preempt native vision on a model that
# can natively inspect the pixels (issue #29135).
# auto
if _explicit_aux_vision_override(cfg):
return "text"
supports = _lookup_supports_vision(provider, model, cfg)
if supports is True:
return "native"
if _explicit_aux_vision_override(cfg):
return "text"
return "text"
@@ -494,98 +388,14 @@ def _sniff_mime_from_bytes(raw: bytes) -> Optional[str]:
# BMP: "BM"
if raw.startswith(b"BM"):
return "image/bmp"
# ISO-BMFF family (HEIC/HEIF/AVIF): bytes 4..8 == 'ftyp', major brand at 8..12
if len(raw) >= 12 and raw[4:8] == b"ftyp":
brand = raw[8:12]
if brand in {b"avif", b"avis"}:
return "image/avif"
if brand in {
b"heic", b"heix", b"hevc", b"hevx",
b"mif1", b"msf1", b"heim", b"heis",
}:
return "image/heic"
# TIFF: II*\0 (little-endian) or MM\0* (big-endian)
if raw[:4] in {b"II*\x00", b"MM\x00*"}:
return "image/tiff"
# ICO: 00 00 01 00 (reserved=0, type=1=icon)
if raw[:4] == b"\x00\x00\x01\x00":
return "image/x-icon"
# SVG: text-based, look for an <svg tag near the start (skip BOM/whitespace)
head = raw[:512].lstrip().lower()
if head.startswith(b"<?xml") or head.startswith(b"<svg"):
if b"<svg" in head:
return "image/svg+xml"
# HEIC/HEIF: ftypheic / ftypheix / ftypmif1 / ftypmsf1 etc.
if len(raw) >= 12 and raw[4:8] == b"ftyp" and raw[8:12] in {
b"heic", b"heix", b"hevc", b"hevx", b"mif1", b"msf1", b"heim", b"heis",
}:
return "image/heic"
return None
# Formats every major vision provider (Anthropic, OpenAI, Gemini, Bedrock)
# accepts natively. Anything outside this set has to be transcoded to PNG
# before we declare media_type, otherwise the provider returns HTTP 400
# ("Could not process image" / "Unsupported image media type") and the
# whole turn fails with no salvage path.
#
# Discord (and a few other chat platforms) freely accept attachments in
# formats outside this set -- AVIF screenshots from Chromium, HEIC from
# iPhones, TIFF from scanners, BMP from old Windows tools, ICO -- so users
# do hit this in practice. SVG is vector and Pillow cannot rasterize it;
# it is skipped (logged) rather than transcoded.
_UNIVERSALLY_SUPPORTED_MIMES = frozenset({
"image/png", "image/jpeg", "image/gif", "image/webp",
})
def _transcode_to_png(raw: bytes) -> Optional[bytes]:
"""Decode arbitrary image bytes with Pillow and re-encode as PNG.
Returns None if Pillow isn't installed or can't decode the input
(rare formats, corrupted bytes, missing optional decoder plugin for
HEIC/AVIF, or vector formats like SVG). Caller falls back to skipping
the image so the rest of the turn still works.
HEIC/HEIF and AVIF need optional Pillow plugins; we try to register
them on demand and swallow ImportError so a missing plugin just
looks like 'Pillow can't decode this' rather than crashing.
"""
try:
from PIL import Image
except ImportError:
logger.info(
"image_routing: Pillow not installed; cannot transcode "
"non-standard image format to PNG. Install with `pip install Pillow` "
"(and `pillow-heif` / `pillow-avif-plugin` for those formats)."
)
return None
# Optional plugin registration. Silent on failure: an unsupported
# format will just fall through to Image.open raising below.
try:
import pillow_heif # type: ignore
pillow_heif.register_heif_opener()
except Exception:
pass
try:
import pillow_avif # type: ignore # noqa: F401 -- registers AVIF on import
except Exception:
pass
try:
from io import BytesIO
with Image.open(BytesIO(raw)) as im:
# Pick an output mode PNG can serialise. Anything other than
# the standard set gets normalised to RGBA so transparency is
# preserved where the source had it.
if im.mode not in {"RGB", "RGBA", "L", "LA", "P"}:
im = im.convert("RGBA")
buf = BytesIO()
im.save(buf, format="PNG", optimize=False)
return buf.getvalue()
except Exception as exc:
logger.info(
"image_routing: Pillow could not transcode image to PNG -- %s", exc
)
return None
def _guess_mime(path: Path, raw: Optional[bytes] = None) -> str:
"""Return image MIME type for *path*.
@@ -621,52 +431,15 @@ def _file_to_data_url(path: Path) -> Optional[str]:
accept large images (OpenAI 49 MB+, Gemini 100 MB) don't pay a silent
quality tax just because one other provider is stricter.
Format compatibility IS handled here: if the sniffed MIME isn't one
of ``_UNIVERSALLY_SUPPORTED_MIMES`` (i.e. it's something like AVIF,
HEIC, BMP, TIFF, or ICO that some providers reject outright), we
transcode to PNG with Pillow before declaring media_type. This fixes
the user-visible "Could not process image" HTTP 400 from Anthropic on
Discord-attached AVIF/HEIC/BMP files.
Returns None if the file can't be read OR if the format isn't
universally supported AND Pillow can't transcode it (Pillow missing,
HEIC/AVIF plugin missing, vector format like SVG, corrupt bytes). The
caller reports those paths in ``skipped`` and the rest of the turn
proceeds.
Returns None only if the file can't be read (missing, permission
denied, etc.); the caller reports those paths in ``skipped``.
"""
try:
from agent.file_safety import raise_if_read_blocked
raise_if_read_blocked(str(path))
except ValueError as exc:
logger.warning("image_routing: blocked local image attachment %s -- %s", path, exc)
return None
except Exception:
# Keep attachment routing best-effort if the guard itself is unavailable.
pass
try:
raw = path.read_bytes()
except Exception as exc:
logger.warning("image_routing: failed to read %s%s", path, exc)
return None
mime = _guess_mime(path, raw=raw)
if mime not in _UNIVERSALLY_SUPPORTED_MIMES:
transcoded = _transcode_to_png(raw)
if transcoded is None:
logger.warning(
"image_routing: %s is %s which is not accepted by all major "
"vision providers and could not be transcoded to PNG; "
"skipping this attachment.",
path, mime,
)
return None
logger.info(
"image_routing: transcoded %s (%s) -> image/png for provider compatibility",
path.name, mime,
)
raw = transcoded
mime = "image/png"
b64 = base64.b64encode(raw).decode("ascii")
return f"data:{mime};base64,{b64}"
+23 -194
View File
@@ -17,7 +17,6 @@ Usage:
"""
import json
import sqlite3
import time
from collections import Counter, defaultdict
from datetime import datetime
@@ -142,8 +141,8 @@ class InsightsEngine:
}
# Compute insights
models = self._compute_model_breakdown(sessions, cutoff, source)
overview = self._compute_overview(sessions, message_stats, models)
overview = self._compute_overview(sessions, message_stats)
models = self._compute_model_breakdown(sessions)
platforms = self._compute_platform_breakdown(sessions)
tools = self._compute_tool_breakdown(tool_usage)
skills = self._compute_skill_breakdown(skill_usage)
@@ -173,7 +172,7 @@ class InsightsEngine:
"message_count, tool_call_count, input_tokens, output_tokens, "
"cache_read_tokens, cache_write_tokens, billing_provider, "
"billing_base_url, billing_mode, estimated_cost_usd, "
"actual_cost_usd, cost_status, cost_source, api_call_count")
"actual_cost_usd, cost_status, cost_source")
# Pre-computed query strings — f-string evaluated once at class definition,
# not at runtime, so no user-controlled value can alter the query structure.
@@ -400,12 +399,7 @@ class InsightsEngine:
# Computation
# =========================================================================
def _compute_overview(
self,
sessions: List[Dict],
message_stats: Dict,
models: Optional[List[Dict]] = None,
) -> Dict:
def _compute_overview(self, sessions: List[Dict], message_stats: Dict) -> Dict:
"""Compute high-level overview statistics."""
total_input = sum(s.get("input_tokens") or 0 for s in sessions)
total_output = sum(s.get("output_tokens") or 0 for s in sessions)
@@ -437,21 +431,6 @@ class InsightsEngine:
else:
models_without_pricing.add(display)
if models:
total_cost = sum(float(m.get("cost") or 0.0) for m in models)
# Token totals likewise: the per-model breakdown includes
# auxiliary usage rows (vision/compression/titles — task
# dimension in session_model_usage, #23270) plus reconciled
# residuals, while the sessions counters carry main-loop usage
# only. Summing the breakdown keeps overview totals consistent
# with the per-model table and stops `hermes insights`
# undercounting aux spend (#58592, #9979).
total_input = sum(int(m.get("input_tokens") or 0) for m in models)
total_output = sum(int(m.get("output_tokens") or 0) for m in models)
total_cache_read = sum(int(m.get("cache_read_tokens") or 0) for m in models)
total_cache_write = sum(int(m.get("cache_write_tokens") or 0) for m in models)
total_tokens = total_input + total_output + total_cache_read + total_cache_write
# Session duration stats (guard against negative durations from clock drift)
durations = []
for s in sessions:
@@ -494,189 +473,39 @@ class InsightsEngine:
"included_cost_sessions": included_cost_sessions,
}
_GET_MODEL_USAGE_WITH_SOURCE = (
"SELECT u.session_id, u.model, u.billing_provider, u.billing_base_url,"
" u.api_call_count, u.input_tokens, u.output_tokens,"
" u.cache_read_tokens, u.cache_write_tokens, u.reasoning_tokens,"
" u.estimated_cost_usd, u.actual_cost_usd, u.cost_status,"
" u.cost_source, u.billing_mode"
" FROM session_model_usage u"
" JOIN sessions s ON s.id = u.session_id"
" WHERE s.started_at >= ? AND s.source = ?"
)
_GET_MODEL_USAGE_ALL = (
"SELECT u.session_id, u.model, u.billing_provider, u.billing_base_url,"
" u.api_call_count, u.input_tokens, u.output_tokens,"
" u.cache_read_tokens, u.cache_write_tokens, u.reasoning_tokens,"
" u.estimated_cost_usd, u.actual_cost_usd, u.cost_status,"
" u.cost_source, u.billing_mode"
" FROM session_model_usage u"
" JOIN sessions s ON s.id = u.session_id"
" WHERE s.started_at >= ?"
)
def _get_model_usage(self, cutoff: float, source: str = None) -> List[Dict]:
"""Fetch per-model usage rows within the window (issue #51607).
Returns an empty list when the table is missing (e.g. a DB opened by
older code that never created it) so the caller can fall back to the
per-session aggregate.
"""
try:
if source:
cursor = self._conn.execute(
self._GET_MODEL_USAGE_WITH_SOURCE, (cutoff, source)
)
else:
cursor = self._conn.execute(self._GET_MODEL_USAGE_ALL, (cutoff,))
return [dict(row) for row in cursor.fetchall()]
except sqlite3.OperationalError:
return []
def _compute_model_breakdown(
self, sessions: List[Dict], cutoff: float, source: str = None
) -> List[Dict]:
"""Break down token usage and cost by model.
Tokens and cost are attributed per model from session_model_usage, so a
session that switched models mid-flight (via ``/model``) splits across
every model it used instead of dumping everything on the initial model
(issue #51607). Sessions without per-model rows — e.g. data written
before this table existed and not yet backfilled fall back to their
single recorded (model, billing_provider) aggregate so nothing is lost.
Tool calls aren't tied to a specific API invocation, so they stay
attributed to the session's recorded model.
"""
def _compute_model_breakdown(self, sessions: List[Dict]) -> List[Dict]:
"""Break down usage by model."""
model_data = defaultdict(lambda: {
"sessions": set(), "input_tokens": 0, "output_tokens": 0,
"sessions": 0, "input_tokens": 0, "output_tokens": 0,
"cache_read_tokens": 0, "cache_write_tokens": 0,
"reasoning_tokens": 0, "total_tokens": 0, "api_calls": 0,
"tool_calls": 0, "cost": 0.0, "actual_cost": 0.0,
"total_tokens": 0, "tool_calls": 0, "cost": 0.0,
})
def _accumulate(model, provider, base_url, session_id, inp, out,
cache_read, cache_write, reasoning, *,
stored_cost=None, actual_cost=None, cost_status=None):
model = model or "unknown"
for s in sessions:
model = s.get("model") or "unknown"
# Normalize: strip provider prefix for display
display_model = model.split("/")[-1] if "/" in model else model
d: Dict[str, Any] = model_data[display_model]
d["sessions"].add(session_id)
d = model_data[display_model]
d["sessions"] += 1
inp = s.get("input_tokens") or 0
out = s.get("output_tokens") or 0
cache_read = s.get("cache_read_tokens") or 0
cache_write = s.get("cache_write_tokens") or 0
d["input_tokens"] += inp
d["output_tokens"] += out
d["cache_read_tokens"] += cache_read
d["cache_write_tokens"] += cache_write
d["reasoning_tokens"] += reasoning
d["total_tokens"] += inp + out + cache_read + cache_write
if stored_cost is None:
estimate, status = _estimate_cost(
model, inp, out,
cache_read_tokens=cache_read, cache_write_tokens=cache_write,
provider=provider or None, base_url=base_url,
)
else:
estimate = float(stored_cost or 0.0)
status = cost_status or "unknown"
d["tool_calls"] += s.get("tool_call_count") or 0
estimate, status = _estimate_cost(s)
d["cost"] += estimate
d["actual_cost"] += float(actual_cost or 0.0)
d["has_pricing"] = has_known_pricing(model, s.get("billing_provider"), s.get("billing_base_url"))
d["cost_status"] = status
if has_known_pricing(model, provider or None, base_url):
d["has_pricing"] = True
else:
d.setdefault("has_pricing", False)
return display_model
usage_rows = self._get_model_usage(cutoff, source)
usage_totals = defaultdict(lambda: {
"input_tokens": 0, "output_tokens": 0, "cache_read_tokens": 0,
"cache_write_tokens": 0, "reasoning_tokens": 0,
"api_call_count": 0, "estimated_cost_usd": 0.0,
"actual_cost_usd": 0.0,
})
for r in usage_rows:
totals: Dict[str, Any] = usage_totals[r["session_id"]]
for key in (
"input_tokens", "output_tokens", "cache_read_tokens",
"cache_write_tokens", "reasoning_tokens", "api_call_count",
):
totals[key] += r[key] or 0
totals["estimated_cost_usd"] += r["estimated_cost_usd"] or 0.0
totals["actual_cost_usd"] += r["actual_cost_usd"] or 0.0
d = _accumulate(
r["model"], r["billing_provider"], r.get("billing_base_url"),
r["session_id"], r["input_tokens"] or 0, r["output_tokens"] or 0,
r["cache_read_tokens"] or 0, r["cache_write_tokens"] or 0,
r["reasoning_tokens"] or 0,
stored_cost=(
r["estimated_cost_usd"]
if r.get("cost_status") or r.get("cost_source")
else None
),
actual_cost=r["actual_cost_usd"],
cost_status=r.get("cost_status"),
)
model_data[d]["api_calls"] += r["api_call_count"] or 0
# Reconcile against the aggregate row. This covers legacy sessions,
# interrupted migrations, and absolute cumulative updates without
# double-counting already-attributed route deltas.
for s in sessions:
totals = usage_totals[s["id"]]
inp = max(0, (s.get("input_tokens") or 0) - totals["input_tokens"])
out = max(0, (s.get("output_tokens") or 0) - totals["output_tokens"])
cache_read = max(
0, (s.get("cache_read_tokens") or 0) - totals["cache_read_tokens"]
)
cache_write = max(
0, (s.get("cache_write_tokens") or 0) - totals["cache_write_tokens"]
)
residual_cost = max(
0.0, float(s.get("estimated_cost_usd") or 0.0)
- totals["estimated_cost_usd"],
)
residual_actual = max(
0.0, float(s.get("actual_cost_usd") or 0.0)
- totals["actual_cost_usd"],
)
residual_calls = max(
0, (s.get("api_call_count") or 0) - totals["api_call_count"]
)
if not (
inp or out or cache_read or cache_write or residual_cost
or residual_actual or residual_calls
):
continue
d = _accumulate(
s.get("model"), s.get("billing_provider"),
s.get("billing_base_url"), s["id"],
inp, out, cache_read, cache_write, 0,
stored_cost=residual_cost,
actual_cost=residual_actual,
cost_status=s.get("cost_status"),
)
residual_bucket: Dict[str, Any] = model_data[d]
residual_bucket["api_calls"] += residual_calls
# Tool calls are attributed by the session's recorded model.
for s in sessions:
tool_calls = s.get("tool_call_count") or 0
if not tool_calls:
continue
model = s.get("model") or "unknown"
display_model = model.split("/")[-1] if "/" in model else model
model_data[display_model]["tool_calls"] += tool_calls
result = []
for model, data in model_data.items():
entry = {"model": model, **data}
entry["sessions"] = len(data["sessions"])
# Models that surfaced only via tool-call attribution (no token
# rows) won't have these set by _accumulate — default them so the
# output shape is uniform for downstream/JSON consumers.
entry.setdefault("has_pricing", False)
entry.setdefault("cost_status", "unknown")
result.append(entry)
result = [
{"model": model, **data}
for model, data in model_data.items()
]
# Sort by tokens first, fall back to session count when tokens are 0
result.sort(key=lambda x: (x["total_tokens"], x["sessions"]), reverse=True)
return result
-108
View File
@@ -1,108 +0,0 @@
"""Turn-end guard for kanban workers.
Kanban workers must end with ``kanban_complete`` or ``kanban_block``. Models
(especially GLM / Qwen families) sometimes narrate the next step
("Let me write the report now") and stop with ``finish_reason=stop`` and no
tool calls. Hermes treats that as a clean exit ``rc=0`` dispatcher
``protocol_violation``.
This module is policy-only: when a kanban worker tries to finish without a
terminal board tool, return a bounded synthetic nudge so the conversation
loop continues instead of exiting.
"""
from __future__ import annotations
import os
from typing import Any, Iterable, Optional
_TERMINAL_KANBAN_TOOLS = frozenset({"kanban_complete", "kanban_block"})
_DEFAULT_MAX_ATTEMPTS = 2
def kanban_stop_nudge_enabled() -> bool:
"""Return whether the kanban stop-guard is active for this process.
On when ``HERMES_KANBAN_TASK`` is set (dispatcher-spawned worker), unless
``HERMES_KANBAN_STOP_NUDGE`` explicitly disables it.
"""
env = os.environ.get("HERMES_KANBAN_STOP_NUDGE")
if env is not None and env.strip().lower() in {"0", "false", "no", "off"}:
return False
task = (os.environ.get("HERMES_KANBAN_TASK") or "").strip()
return bool(task)
def _tool_call_name(tc: Any) -> str:
if isinstance(tc, dict):
fn = tc.get("function")
if isinstance(fn, dict):
return str(fn.get("name") or "")
return str(tc.get("name") or "")
fn = getattr(tc, "function", None)
if fn is not None:
return str(getattr(fn, "name", "") or "")
return str(getattr(tc, "name", "") or "")
def session_called_kanban_terminal(messages: Iterable[dict] | None) -> bool:
"""True if this conversation already invoked a terminal kanban tool."""
if not messages:
return False
for msg in messages:
if not isinstance(msg, dict):
continue
role = msg.get("role")
if role == "assistant":
for tc in msg.get("tool_calls") or []:
if _tool_call_name(tc) in _TERMINAL_KANBAN_TOOLS:
return True
elif role == "tool":
name = str(msg.get("name") or "")
if name in _TERMINAL_KANBAN_TOOLS:
return True
return False
def build_kanban_stop_nudge(
*,
messages: Iterable[dict] | None = None,
attempts: int = 0,
max_attempts: int = _DEFAULT_MAX_ATTEMPTS,
task_id: Optional[str] = None,
) -> Optional[str]:
"""Return a synthetic follow-up when a kanban worker exits without a terminal tool.
Returns ``None`` when the guard should not fire (not a kanban worker,
already completed/blocked, or nudge budget exhausted).
"""
if not kanban_stop_nudge_enabled():
return None
if attempts >= max_attempts:
return None
if session_called_kanban_terminal(messages):
return None
tid = (task_id or os.environ.get("HERMES_KANBAN_TASK") or "").strip() or "this task"
return (
"[System: You are a Hermes kanban worker. A plain-text reply is NOT a "
"terminal state for the board.\n\n"
f"Task `{tid}` is still `running`. Ending now without a board tool "
"causes a protocol violation (clean exit with no "
"`kanban_complete` / `kanban_block`).\n\n"
"Do this immediately in your next response — do not narrate intent:\n"
"1. Finish any remaining deliverable (write the required file(s) now).\n"
"2. Call `kanban_complete(summary=..., artifacts=[...])` if the work "
"is done, OR `kanban_block(reason=...)` if you are blocked.\n\n"
"Never end a turn with only a promise of future action. Repeated "
"protocol violations will block this task and require manual intervention.]"
)
__all__ = [
"build_kanban_stop_nudge",
"kanban_stop_nudge_enabled",
"session_called_kanban_terminal",
]
+8 -22
View File
@@ -117,29 +117,15 @@ def build_learn_prompt(user_request: str) -> str:
return (
"[/learn] The user wants you to learn a reusable skill from the "
"request below, and save it.\n\n"
f"THE REQUEST:\n{req}\n\n"
"The request is open-ended and may mix two kinds of content, in any "
"order: SOURCES to gather (directories, file paths, URLs, \"what we "
"just did\", pasted notes) AND REQUIREMENTS that shape the skill "
"(what to focus on, what to leave out, scope, naming, the angle to "
"take). Treat EVERY part of the request as load-bearing. In "
"particular, prose that comes after a path or link is NOT incidental "
"— it is the user telling you what they want from that source. A "
"request like `<url> focus on the auth flow, skip the deprecated "
"endpoints` means: gather the URL AND honor \"focus on auth, skip "
"deprecated\" as authoring requirements. Never fetch the first source "
"and ignore the rest.\n\n"
"source(s) they described below, and save it.\n\n"
f"WHAT TO LEARN FROM:\n{req}\n\n"
"Do this:\n"
"1. Gather every source the user named, using the tools you already "
"have — `read_file`/`search_files` for local files or directories, "
"`web_extract` for URLs, the current conversation history if they "
"referred to something you just did, and the text they pasted as-is. "
"If the request is ambiguous about scope, make a reasonable choice "
"and note it; do not stall.\n"
"1b. Apply every requirement, focus, and constraint in the request to "
"the skill you author — these govern what the SKILL.md covers and "
"emphasizes, not just which sources you read.\n"
"1. Gather the material. Resolve whatever the user named using the "
"tools you already have — `read_file`/`search_files` for local files "
"or directories, `web_extract` for URLs, the current conversation "
"history if they referred to something you just did, and the text "
"they pasted as-is. If the request is ambiguous about scope, make a "
"reasonable choice and note it; do not stall.\n"
"2. Author ONE SKILL.md and save it with the `skill_manage` tool "
"(action=\"create\"). Pick a sensible category. If the procedure needs "
"a non-trivial script, add it under the skill's `scripts/` with "
-328
View File
@@ -1,328 +0,0 @@
"""Assemble the "learning made visible" graph for desktop.
This graph is intentionally scoped to what a user actually learns over time:
- non-base, learned/profile skills (agent-created or used),
- memory chunks from ``MEMORY.md`` / ``USER.md`` as first-class nodes.
Skill links come from declared ``related_skills``. Memory-to-skill links are
derived from lexical overlap so the graph can answer "which learned skills are
connected to the things I remember?".
Run as a module to print edge-density stats against real data:
python -m agent.learning_graph
"""
from __future__ import annotations
import json
import re
from dataclasses import dataclass, field
from datetime import datetime, timezone
from pathlib import Path
from typing import Any, Optional
from hermes_constants import get_hermes_home
@dataclass
class SkillNode:
name: str
category: str
source: str = "profile"
timestamp: Optional[int] = None
use_count: int = 0
state: str = "active"
created_by: Optional[str] = None
pinned: bool = False
related: list[str] = field(default_factory=list)
def _frontmatter(text: str) -> dict[str, Any]:
try:
from agent.skill_utils import parse_frontmatter
fm, _ = parse_frontmatter(text)
return fm or {}
except Exception:
return {}
def _hermes_meta(fm: dict[str, Any]) -> dict[str, Any]:
"""``metadata.hermes`` as a dict, tolerant of the string-valued frontmatter
that ``parse_frontmatter``'s malformed-YAML fallback produces."""
meta = fm.get("metadata")
hermes = meta.get("hermes") if isinstance(meta, dict) else None
return hermes if isinstance(hermes, dict) else {}
def _related(fm: dict[str, Any]) -> list[str]:
raw = fm.get("related_skills") or _hermes_meta(fm).get("related_skills")
if isinstance(raw, list):
return [str(r).strip() for r in raw if str(r).strip()]
if isinstance(raw, str):
return [r.strip() for r in raw.strip("[]").split(",") if r.strip()]
return []
def _category(fm: dict[str, Any], skill_md: Path) -> str:
cat = fm.get("category") or _hermes_meta(fm).get("category")
if cat:
return str(cat)
# …/skills/<category>/<skill>/SKILL.md
parts = skill_md.parts
return parts[-3] if len(parts) >= 3 else "general"
def _iter_skill_files(roots: list[tuple[str, Path]]):
for source, root in roots:
if root.exists():
for path in root.rglob("SKILL.md"):
yield source, path
def _load_usage() -> dict[str, dict[str, Any]]:
try:
from tools.skill_usage import load_usage
return load_usage()
except Exception:
path = get_hermes_home() / "skills" / ".usage.json"
try:
return json.loads(path.read_text(encoding="utf-8"))
except Exception:
return {}
def _to_int_ts(value: Any) -> Optional[int]:
try:
if value is None:
return None
if isinstance(value, (int, float)):
return int(value)
s = str(value).strip()
if not s:
return None
try:
return int(float(s))
except ValueError:
parsed = datetime.fromisoformat(s.replace("Z", "+00:00"))
if parsed.tzinfo is None:
parsed = parsed.replace(tzinfo=timezone.utc)
return int(parsed.timestamp())
except Exception:
return None
def _usage_timestamp(rec: dict[str, Any]) -> Optional[int]:
for key in ("last_activity_at", "last_used_at", "last_viewed_at", "last_patched_at", "created_at"):
ts = _to_int_ts(rec.get(key))
if ts is not None:
return ts
return None
def build_skill_nodes(skill_roots: list[tuple[str, Path]]) -> dict[str, SkillNode]:
usage = _load_usage()
nodes: dict[str, SkillNode] = {}
for source, skill_md in _iter_skill_files(skill_roots):
if any(p in {".archive", ".hub", "node_modules", ".git"} for p in skill_md.parts):
continue
try:
fm = _frontmatter(skill_md.read_text(encoding="utf-8")[:4000])
except OSError:
continue
name = str(fm.get("name") or skill_md.parent.name).strip()
if not name or name in nodes:
continue
rec = usage.get(name, {})
last_activity = _usage_timestamp(rec)
file_ts = _to_int_ts(skill_md.stat().st_mtime)
nodes[name] = SkillNode(
name=name,
category=_category(fm, skill_md),
source=source,
timestamp=last_activity or file_ts,
use_count=int(rec.get("use_count", 0) or 0),
state=str(rec.get("state", "active") or "active"),
created_by=rec.get("created_by"),
pinned=bool(rec.get("pinned", False)),
related=_related(fm),
)
return nodes
def build_edges(nodes: dict[str, SkillNode]) -> list[tuple[str, str]]:
"""Undirected related_skills edges where BOTH endpoints exist (deduped)."""
seen: set[tuple[str, str]] = set()
edges: list[tuple[str, str]] = []
for node in nodes.values():
for target in node.related:
if target in nodes and target != node.name:
a, b = sorted((node.name, target))
key = (a, b)
if key not in seen:
seen.add(key)
edges.append(key)
return edges
def density_stats(nodes: dict[str, SkillNode], edges: list[tuple[str, str]]) -> dict[str, Any]:
linked: set[str] = set()
for a, b in edges:
linked.add(a)
linked.add(b)
cats: dict[str, int] = {}
for n in nodes.values():
cats[n.category] = cats.get(n.category, 0) + 1
n = len(nodes) or 1
return {
"nodes": len(nodes),
"related_edges": len(edges),
"edges_per_node": round(len(edges) / n, 3),
"linked_nodes": len(linked),
"isolated_pct": round(100 * (n - len(linked)) / n, 1),
"categories": len(cats),
"agent_created": sum(1 for x in nodes.values() if x.created_by == "agent"),
"used": sum(1 for x in nodes.values() if x.use_count > 0),
"top_categories": sorted(cats.items(), key=lambda kv: -kv[1])[:8],
}
def _memory_cards() -> list[dict[str, Any]]:
"""Freeform memory as readable cards.
``MEMORY.md`` / ``USER.md`` are prose split on bare ``§`` separators; each
chunk becomes one card. Every chunk is surfaced the graph shows everything.
"""
base = get_hermes_home() / "memories"
cards: list[dict[str, Any]] = []
for fname, source in (("MEMORY.md", "memory"), ("USER.md", "profile")):
path = base / fname
try:
text = path.read_text(encoding="utf-8").strip()
file_ts = _to_int_ts(path.stat().st_mtime)
except OSError:
continue
for chunk_idx, chunk in enumerate(c.strip() for c in text.split("\n§\n")):
if not chunk:
continue
first = chunk.splitlines()[0].strip().lstrip("# ").strip()
cards.append(
{
"source": source,
"timestamp": file_ts + chunk_idx if file_ts is not None else None,
"title": (first[:80] + "") if len(first) > 80 else first,
"body": chunk[:1200],
}
)
return cards
def _tokenize(text: str) -> set[str]:
return {t for t in re.split(r"[^a-z0-9]+", text.lower()) if len(t) >= 3}
def _memory_skill_edges(memory_cards: list[dict[str, Any]], skills: list[SkillNode]) -> list[tuple[str, str]]:
edges: list[tuple[str, str]] = []
skill_meta = [(s, _tokenize(s.name), s.name.lower()) for s in skills]
for idx, card in enumerate(memory_cards):
mem_id = f"memory:{card['source']}:{idx}"
text = f"{card.get('title', '')}\n{card.get('body', '')}".lower()
text_tokens = _tokenize(text)
scored: list[tuple[int, str]] = []
for skill, tokens, skill_name_lower in skill_meta:
score = 0
if skill_name_lower in text:
score += 6
score += len(tokens & text_tokens)
if score > 0:
scored.append((score, skill.name))
scored.sort(key=lambda x: (-x[0], x[1]))
for _, skill_name in scored[:4]:
edges.append((mem_id, skill_name))
return edges
def _skill_roots() -> list[tuple[str, Path]]:
repo = Path(__file__).resolve().parent.parent
home_skills = get_hermes_home() / "skills"
return [("base", repo / "skills"), ("profile", home_skills)]
def build_learning_graph() -> dict[str, Any]:
"""Full payload for the desktop learning panel.
Focus on what is profile-learned and actionable:
- skills that are NOT base-installed and show real learning signal
(agent-created or used),
- memory chunks as first-class graph nodes connected to those learned skills.
"""
all_skills = build_skill_nodes(_skill_roots())
learned_skills = {
name: node
for name, node in all_skills.items()
if node.source != "base" and (node.created_by == "agent" or node.use_count > 0)
}
skill_edges = build_edges(learned_skills)
memory_cards = _memory_cards()
memory_edges = _memory_skill_edges(memory_cards, list(learned_skills.values()))
edges = skill_edges + memory_edges
clusters: dict[str, int] = {}
for node in learned_skills.values():
clusters[node.category] = clusters.get(node.category, 0) + 1
if memory_cards:
clusters["memory"] = len(memory_cards)
graph_nodes = [
{
"id": n.name,
"label": n.name,
"kind": "skill",
"timestamp": n.timestamp,
"category": n.category,
"useCount": n.use_count,
"state": n.state,
"createdBy": n.created_by,
"pinned": n.pinned,
}
for n in learned_skills.values()
]
for i, card in enumerate(memory_cards):
graph_nodes.append(
{
"id": f"memory:{card['source']}:{i}",
"label": card["title"],
"kind": "memory",
"memorySource": card["source"],
"timestamp": card.get("timestamp"),
"category": "memory",
"useCount": 0,
"state": "active",
"createdBy": "memory",
"pinned": False,
}
)
return {
"nodes": graph_nodes,
"edges": [{"source": a, "target": b} for a, b in edges],
"clusters": [
{"category": c, "count": n}
for c, n in sorted(clusters.items(), key=lambda kv: -kv[1])
],
"memory": memory_cards,
"stats": {
**density_stats(learned_skills, skill_edges),
"memory_nodes": len(memory_cards),
"memory_skill_edges": len(memory_edges),
"learned_skills": len(learned_skills),
},
}
if __name__ == "__main__":
nodes = build_skill_nodes(_skill_roots())
print(json.dumps(density_stats(nodes, build_edges(nodes)), indent=2))
-659
View File
@@ -1,659 +0,0 @@
"""Terminal renderer for the learning timeline (learned skills + memories).
The desktop app (``apps/desktop/src/app/starmap``) paints a GPU radial
constellation; a terminal can't, so this is a *rendition* of the same data as a
timeline bar chart date rows, proportional skill/memory bars colored by the
day's dominant category, and a cumulative trajectory sparkline — plus per-slice
bucket metadata the TUI walks as a tree. The age gradient and complementary
memory ink are ported from the desktop source, not guessed.
Grids are emitted as style runs ``[text, style, alpha, hex?]`` so each
consumer maps the semantic style + brightness onto its own palette; the
optional 4th element overrides the base color (category heatmap). Pure,
stdlib-only.
"""
from __future__ import annotations
import math
from datetime import datetime, timezone
from typing import Any, Iterable, Optional
# time-axis.ts LEAD_IN: the oldest node sits just off recency 0.
LEAD_IN = 0.06
# constants.ts AGE_GRADIENT — old quiet, recent bright.
AGE_OLD_INK = 0.42
AGE_MID_INK = 0.74
AGE_NEW_INK = 0.95
AGE_MID = 0.52
# Style keys consumers map to base colors (brightness = the run alpha).
STYLE_BG = "bg"
STYLE_SKILL = "skill"
STYLE_MEMORY = "memory"
STYLE_LABEL = "label"
STYLE_DIM = "dim"
# Legend glyphs mirror NODE_SHAPE (skill = circle, memory = diamond).
SKILL_GLYPH = ""
MEMORY_GLYPH = ""
_LABEL_KEYS = tuple("123456789abc")
Run = list # [text, style, alpha, hex?]
Row = list # list[Run]
Grid = list # list[Row]
def _to_ts(value: Any) -> Optional[float]:
try:
return None if value is None else float(value)
except (TypeError, ValueError):
return None
def _clamp(v: float, lo: float, hi: float) -> float:
return lo if v < lo else hi if v > hi else v
def _smoothstep(p: float) -> float:
p = _clamp(p, 0.0, 1.0)
return p * p * (3 - 2 * p)
def recency_ink(rec: float) -> float:
"""Port of geometry.ts ``recencyInk`` — smoothstep age → ink alpha."""
t = _clamp(rec, 0.0, 1.0)
if t <= AGE_MID:
return AGE_OLD_INK + (AGE_MID_INK - AGE_OLD_INK) * _smoothstep(t / AGE_MID)
return AGE_MID_INK + (AGE_NEW_INK - AGE_MID_INK) * _smoothstep((t - AGE_MID) / (1 - AGE_MID))
def format_date(ts: Optional[float]) -> str:
if not ts:
return "unknown"
try:
dt = datetime.fromtimestamp(float(ts), tz=timezone.utc)
return f"{dt.day} {dt.strftime('%b %Y')}"
except (ValueError, OSError, OverflowError):
return "unknown"
def compute_recency(nodes: list[dict[str, Any]]) -> dict[str, Any]:
"""Port of time-axis.ts ``computeRecency`` (id → recency ratio, timed flag)."""
known = [t for t in (_to_ts(n.get("timestamp")) for n in nodes) if t is not None]
min_ts = min(known) if known else None
max_ts = max(known) if known else None
timed = min_ts is not None and max_ts is not None and max_ts > min_ts
ordered = sorted(
nodes,
key=lambda n: (
_to_ts(n.get("timestamp")) if _to_ts(n.get("timestamp")) is not None else math.inf,
str(n.get("id", "")),
),
)
last = max(len(ordered) - 1, 1)
ord_ratio = {str(n.get("id", "")): (i / last if len(ordered) > 1 else 0.0) for i, n in enumerate(ordered)}
rec: dict[str, float] = {}
for n in nodes:
nid = str(n.get("id", ""))
ts = _to_ts(n.get("timestamp"))
if timed and ts is not None and min_ts is not None and max_ts is not None:
ratio = (ts - min_ts) / (max_ts - min_ts)
else:
ratio = ord_ratio.get(nid, 0.0)
rec[nid] = LEAD_IN + (1 - LEAD_IN) * _clamp(ratio, 0.0, 1.0)
return {"rec": rec, "timed": timed, "minTs": min_ts, "maxTs": max_ts}
def _date_at(rec: dict[str, Any], reveal: float) -> Optional[float]:
if not rec.get("timed"):
return None
lo, hi = rec.get("minTs"), rec.get("maxTs")
if lo is None or hi is None:
return None
return round(lo + _clamp(reveal, 0, 1) * (hi - lo))
# ── Color: ported from color.ts so memory ink + age fade match the desktop ──
def hex_to_rgb(s: str) -> tuple[int, int, int]:
s = s.strip().lstrip("#")
if len(s) == 3:
s = "".join(c * 2 for c in s)
try:
return int(s[0:2], 16), int(s[2:4], 16), int(s[4:6], 16)
except (ValueError, IndexError):
return 255, 215, 0
def rgb_to_hex(c: tuple) -> str:
return "#{:02X}{:02X}{:02X}".format(*(int(_clamp(v, 0, 255)) for v in c))
def mix_rgb(a: tuple, b: tuple, t: float) -> tuple[int, int, int]:
p = _clamp(t, 0.0, 1.0)
return tuple(round(a[i] + (b[i] - a[i]) * p) for i in range(3)) # type: ignore[return-value]
def _rgb_to_hsl(c: tuple) -> tuple[float, float, float]:
r, g, b = (x / 255 for x in c)
mx, mn = max(r, g, b), min(r, g, b)
light = (mx + mn) / 2
d = mx - mn
if not d:
return 0.0, 0.0, light
s = d / (2 - mx - mn) if light > 0.5 else d / (mx + mn)
if mx == r:
h = (g - b) / d + (6 if g < b else 0)
elif mx == g:
h = (b - r) / d + 2
else:
h = (r - g) / d + 4
return h * 60, s, light
def _hsl_to_rgb(h: float, s: float, light: float) -> tuple[int, int, int]:
hue = ((h % 360) + 360) % 360
c = (1 - abs(2 * light - 1)) * s
x = c * (1 - abs(((hue / 60) % 2) - 1))
m = light - c / 2
if hue < 60:
r, g, b = c, x, 0.0
elif hue < 120:
r, g, b = x, c, 0.0
elif hue < 180:
r, g, b = 0.0, c, x
elif hue < 240:
r, g, b = 0.0, x, c
elif hue < 300:
r, g, b = x, 0.0, c
else:
r, g, b = c, 0.0, x
return round((r + m) * 255), round((g + m) * 255), round((b + m) * 255)
def _complementary_ink(c: tuple) -> tuple[int, int, int]:
h, s, light = _rgb_to_hsl(c)
return _hsl_to_rgb(h + 165, max(s, 0.5), _clamp(light, 0.5, 0.7))
def derive_palette(primary_hex: str, *, dark: bool = True) -> dict[str, str]:
"""Port of color.ts ``computePalette`` (the bits a terminal needs)."""
primary = hex_to_rgb(primary_hex)
base = (255, 255, 255) if dark else (0, 0, 0)
bg = (8, 8, 12) if dark else (250, 250, 250)
return {
"primary": primary_hex,
# Memories are drillable → primary "clickable" ink; skills are dead-ends
# → muted complement.
"memory": rgb_to_hex(mix_rgb(primary, base, 0.12 if dark else 0.18)),
"skill": rgb_to_hex(mix_rgb(_complementary_ink(primary), bg, 0.45)),
"label": rgb_to_hex(mix_rgb(base, bg, 0.35)),
"dim": rgb_to_hex(mix_rgb(base, bg, 0.7)),
"bg": rgb_to_hex(bg),
}
def _node_score(node: dict[str, Any], rec: float) -> float:
"""Pick which visible objects deserve map markers + label rows."""
if node.get("kind") == "memory":
return 3.5 + rec
use = float(node.get("useCount", 0) or 0)
return rec * 2 + math.sqrt(max(0.0, use)) + (2.0 if node.get("pinned") else 0.0)
def _node_label(node: dict[str, Any]) -> str:
text = str(node.get("label") or node.get("id") or "unknown").strip()
return text if len(text) <= 26 else text[:23].rstrip() + ""
def _node_meta(node: dict[str, Any]) -> str:
if node.get("kind") == "memory":
source = "profile memory" if node.get("memorySource") == "profile" else "memory"
return f"{source} · {format_date(_to_ts(node.get('timestamp')))}"
bits = [str(node.get("category") or "skill"), format_date(_to_ts(node.get("timestamp")))]
count = int(node.get("useCount", 0) or 0)
if count:
bits.append(f"x{count}")
if node.get("pinned"):
bits.append("pinned")
return " · ".join(bits)
# ── Timeline chart frame ─────────────────────────────────────────────────────
class _ChartBucket:
__slots__ = ("label", "ts", "skills", "memories", "nodes", "rec")
def __init__(self, label: str, ts: float):
self.label = label
self.ts = ts
self.skills = 0
self.memories = 0
self.nodes: list[dict[str, Any]] = []
self.rec = 1.0
@property
def total(self) -> int:
return self.skills + self.memories
def _period_key(ts: float, granularity: str) -> tuple[int, ...]:
dt = datetime.fromtimestamp(ts, tz=timezone.utc)
if granularity == "day":
return (dt.year, dt.month, dt.day)
if granularity == "month":
return (dt.year, dt.month)
return (dt.year,)
def _period_label(ts: float, granularity: str) -> str:
dt = datetime.fromtimestamp(ts, tz=timezone.utc)
if granularity == "day":
return f"{dt.day} {dt.strftime('%b')}"
if granularity == "month":
return dt.strftime("%b %Y")
return dt.strftime("%Y")
def _build_chart_buckets(nodes: list[dict[str, Any]], rec: dict[str, Any], max_rows: int) -> list[_ChartBucket]:
"""Timeline rows: finest date granularity that fits, oldest → newest."""
if not nodes:
return []
if not rec["timed"]:
ordered = sorted(nodes, key=lambda n: rec["rec"].get(str(n.get("id", "")), 0.0))
n_bins = min(max_rows, max(1, len(ordered)))
buckets = [_ChartBucket(f"#{i + 1}", float(i)) for i in range(n_bins)]
for node in ordered:
idx = int(_clamp(math.floor(rec["rec"].get(str(node.get("id", "")), 0.0) * n_bins), 0, n_bins - 1))
b = buckets[idx]
b.nodes.append(node)
if node.get("kind") == "memory":
b.memories += 1
else:
b.skills += 1
return buckets
chosen: Optional[list[_ChartBucket]] = None
for granularity in ("day", "month", "year"):
groups: dict[tuple[int, ...], _ChartBucket] = {}
for node in nodes:
ts = _to_ts(node.get("timestamp"))
if ts is None:
continue
key = _period_key(ts, granularity)
bucket = groups.get(key)
if bucket is None:
bucket = _ChartBucket(_period_label(ts, granularity), ts)
groups[key] = bucket
bucket.nodes.append(node)
if node.get("kind") == "memory":
bucket.memories += 1
else:
bucket.skills += 1
# For short spans, keep the useful day-by-day graph even when the caller
# asked for fewer rows; terminal scrollback is better than collapsing a
# month of activity into one unreadable bar.
if len(groups) <= max_rows or (granularity == "day" and len(groups) <= 32):
chosen = [groups[key] for key in sorted(groups)]
break
if chosen is None:
# If even yearly buckets overflow, fall back to even time bins.
min_ts, max_ts = rec.get("minTs"), rec.get("maxTs")
n_bins = max(1, max_rows)
chosen = []
for i in range(n_bins):
ts = min_ts + (i / max(1, n_bins - 1)) * (max_ts - min_ts) if min_ts and max_ts else float(i)
chosen.append(_ChartBucket(format_date(ts), ts))
for node in nodes:
r = rec["rec"].get(str(node.get("id", "")), 0.0)
idx = int(_clamp(math.floor(r * n_bins), 0, n_bins - 1))
b = chosen[idx]
b.nodes.append(node)
if node.get("kind") == "memory":
b.memories += 1
else:
b.skills += 1
min_ts, max_ts = rec.get("minTs"), rec.get("maxTs")
span = (max_ts - min_ts) if min_ts is not None and max_ts is not None and max_ts > min_ts else 0
for bucket in chosen:
bucket.rec = LEAD_IN + (1 - LEAD_IN) * ((bucket.ts - min_ts) / span) if span else 1.0
return chosen
def _bucket_label_node(bucket: _ChartBucket) -> Optional[dict[str, Any]]:
if not bucket.nodes:
return None
return max(bucket.nodes, key=lambda node: _node_score(node, _to_ts(node.get("timestamp")) or bucket.ts))
def _bucket_nodes(bucket: _ChartBucket, memory_lookup: Optional[dict[str, dict[str, Any]]] = None) -> list[dict[str, Any]]:
out: list[dict[str, Any]] = []
# Chronological within the slice so the TUI tree reads oldest → newest.
ordered = sorted(bucket.nodes, key=lambda n: _to_ts(n.get("timestamp")) or bucket.ts)
for node in ordered:
style = STYLE_MEMORY if node.get("kind") == "memory" else STYLE_SKILL
raw_label = str(node.get("label") or node.get("id") or "unknown").strip()
memory = (memory_lookup or {}).get(str(node.get("id", "")))
out.append(
{
"id": str(node.get("id", "")),
"glyph": MEMORY_GLYPH if node.get("kind") == "memory" else SKILL_GLYPH,
"label": _node_label(node),
"fullLabel": raw_label,
"meta": _node_meta(node),
"body": str(memory.get("body", "")) if memory else "",
"style": style,
}
)
return out
def _bucket_rows(buckets: list[_ChartBucket], payload: dict[str, Any]) -> list[dict[str, Any]]:
cmap = category_color_map(payload)
memory_lookup = {
f"memory:{card.get('source')}:{idx}": card
for idx, card in enumerate(payload.get("memory", []) or [])
if isinstance(card, dict)
}
rows: list[dict[str, Any]] = []
for idx, bucket in enumerate(buckets):
cat = _bucket_category(bucket)
rows.append(
{
"index": idx,
"label": bucket.label,
"date": format_date(bucket.ts),
"skills": bucket.skills,
"memories": bucket.memories,
"total": bucket.total,
"category": cat,
"color": cmap.get(cat) if cat else None,
"nodes": _bucket_nodes(bucket, memory_lookup),
}
)
return rows
def _category_counts(payload: dict[str, Any]) -> list[tuple[str, int]]:
clusters = [
(str(c.get("category")), int(c.get("count", 0)))
for c in payload.get("clusters", []) or []
if c.get("category") and c.get("category") != "memory"
]
if clusters:
return clusters
counts: dict[str, int] = {}
for node in payload.get("nodes", []):
if node.get("kind") == "memory":
continue
cat = str(node.get("category") or "skill")
counts[cat] = counts.get(cat, 0) + 1
return sorted(counts.items(), key=lambda kv: (-kv[1], kv[0]))
def category_color_map(payload: dict[str, Any]) -> dict[str, str]:
"""Deterministic, evenly-spread hue per skill category (theme-independent)."""
clusters = _category_counts(payload)
n = max(1, len(clusters))
# Golden-angle hue spacing so adjacent categories never collide in color.
return {cat: rgb_to_hex(_hsl_to_rgb((i * 137.508) % 360, 0.55, 0.62)) for i, (cat, _c) in enumerate(clusters)}
def category_legend(payload: dict[str, Any], limit: int = 4) -> list[dict[str, Any]]:
cmap = category_color_map(payload)
cats = _category_counts(payload)
shown = cats[:limit]
hidden = max(0, len(cats) - len(shown))
return [
{"glyph": "", "color": cmap.get(cat, ""), "label": f"{cat} ({count})"}
for cat, count in shown
] + ([{"glyph": "·", "color": "", "label": f"+{hidden}"}] if hidden else [])
def _bucket_category(bucket: _ChartBucket) -> Optional[str]:
counts: dict[str, int] = {}
for node in bucket.nodes:
if node.get("kind") == "memory":
continue
cat = str(node.get("category") or "skill")
counts[cat] = counts.get(cat, 0) + 1
return max(counts, key=lambda k: counts[k]) if counts else None
def _trajectory_row(buckets: list[_ChartBucket], width: int, reveal: float) -> Row:
"""Cumulative learning curve as a compact star-path sparkline."""
if not buckets:
return []
total = sum(b.total for b in buckets) or 1
visible = int(_clamp(math.ceil(reveal * len(buckets)), 0, len(buckets)))
acc = 0
points: list[int] = []
for b in buckets[:visible]:
acc += b.total
points.append(round((acc / total) * (width - 1)))
cells = [" "] * width
last = 0
for p in points:
for x in range(min(last, p), max(last, p) + 1):
if 0 <= x < width and cells[x] == " ":
cells[x] = "·"
if 0 <= p < width:
cells[p] = ""
last = p
return [["trajectory ", STYLE_LABEL, 0.55], ["".join(cells), STYLE_SKILL, 0.48]]
def render_graph(payload: dict[str, Any], *, cols: int = 80, rows: int = 16, reveal: float = 1.0) -> dict[str, Any]:
"""Render one timeline frame at ``reveal`` (0→1).
Date rows with proportional skill/memory bars colored by the day's dominant
category, numbered markers tied to label rows, and a cumulative trajectory
sparkline underneath.
"""
reveal = _clamp(reveal, 0.0, 1.0)
cols = max(44, cols)
rows = max(14, rows)
nodes = list(payload.get("nodes", []))
if not nodes:
placeholder = [["no learning yet — keep using Hermes and it maps out here", STYLE_DIM, 0.7]]
return {"grid": [placeholder], "date": "", "reveal": reveal, "visible": 0}
rec = compute_recency(nodes)
cmap = category_color_map(payload)
buckets = _build_chart_buckets(nodes, rec, max_rows=max(4, rows - 3))
n_buckets = len(buckets)
visible_bucket_count = int(_clamp(math.ceil(reveal * n_buckets), 0, n_buckets))
max_total = max((b.total for b in buckets), default=1) or 1
label_w = min(9, max(len(b.label) for b in buckets))
bar_w = max(14, cols - label_w - 16)
grid: Grid = []
labels: list[dict[str, Any]] = []
visible = 0
for i, bucket in enumerate(buckets):
if i >= visible_bucket_count:
grid.append([])
continue
visible += bucket.total
ink = recency_ink(bucket.rec)
bar_len = max(1, round((bucket.total / max_total) * bar_w)) if bucket.total else 0
skill_len = round((bucket.skills / bucket.total) * bar_len) if bucket.total else 0
if bucket.skills and skill_len == 0:
skill_len = 1
memory_len = bar_len - skill_len
if bucket.memories and memory_len == 0 and bar_len > 1:
memory_len = 1
skill_len = bar_len - 1
node = _bucket_label_node(bucket)
marker = ""
if node and len(labels) < 6:
marker = _LABEL_KEYS[len(labels)]
style = STYLE_MEMORY if node.get("kind") == "memory" else STYLE_SKILL
labels.append(
{
"key": marker,
"glyph": MEMORY_GLYPH if node.get("kind") == "memory" else SKILL_GLYPH,
"label": _node_label(node),
"meta": _node_meta(node),
"style": style,
"alpha": round(ink, 3),
}
)
cat = _bucket_category(bucket)
cat_hex = cmap.get(cat) if cat else None
row: Row = [[f"{bucket.label:>{label_w}} ", STYLE_LABEL, ink], ["", STYLE_DIM, 0.55]]
if marker:
row.append([marker, STYLE_LABEL, 0.95])
elif bucket.total:
head_hex = cat_hex if bucket.skills else None
row.append(["" if bucket.skills else "", STYLE_SKILL if bucket.skills else STYLE_MEMORY, ink, head_hex])
if skill_len:
# Bar colored by the day's dominant category — a learning heatmap.
row.append(["" * skill_len, STYLE_SKILL, ink, cat_hex])
if memory_len:
if memory_len == 1:
mem_trail = ""
else:
mem_trail = "" + ("" * (memory_len - 2)) + ""
row.append([mem_trail, STYLE_MEMORY, max(0.65, ink)])
if bar_len < bar_w:
# Empty space keeps counts aligned; starmap texture lives in the
# trajectory row below, where it reads as signal rather than noise.
row.append([" " * (bar_w - bar_len), STYLE_BG, 1.0])
row.append([" ", STYLE_BG, 1.0])
row.append([str(bucket.skills), STYLE_SKILL, max(0.72, ink)])
if bucket.memories:
row.append(["+", STYLE_DIM, 0.6])
row.append([str(bucket.memories), STYLE_MEMORY, max(0.72, ink)])
if i == visible_bucket_count - 1:
row.append([" ◀ now", STYLE_LABEL, 0.9])
elif bucket.total == max_total and max_total > 1:
row.append([" ☄ peak", STYLE_LABEL, 0.75])
grid.append(row)
# Cumulative learning trajectory underneath the rows.
grid.append([[(" " * (label_w + 2)), STYLE_BG, 1.0], *_trajectory_row(buckets, max(12, cols - label_w - 13), reveal)])
return {
"grid": grid,
"date": format_date(_date_at(rec, reveal)),
"reveal": reveal,
"visible": visible,
"labels": labels,
}
# ── Trimmings ──────────────────────────────────────────────────────────────
def build_legend(payload: dict[str, Any]) -> list[dict[str, Any]]:
nodes = payload.get("nodes", [])
skills = sum(1 for n in nodes if n.get("kind") != "memory")
memories = sum(1 for n in nodes if n.get("kind") == "memory")
return [
{"glyph": SKILL_GLYPH, "style": STYLE_SKILL, "label": f"skills ({skills})"},
{"glyph": MEMORY_GLYPH, "style": STYLE_MEMORY, "label": f"memories ({memories})"},
]
def axis_labels(payload: dict[str, Any]) -> dict[str, str]:
rec = compute_recency(list(payload.get("nodes", [])))
if not rec["timed"]:
return {"start": "oldest", "end": "now"}
return {"start": format_date(rec.get("minTs")), "end": format_date(rec.get("maxTs"))}
def _peak_day(payload: dict[str, Any]) -> Optional[str]:
counts: dict[tuple[int, ...], int] = {}
reps: dict[tuple[int, ...], float] = {}
for node in payload.get("nodes", []):
ts = _to_ts(node.get("timestamp"))
if ts is None:
continue
key = _period_key(ts, "day")
counts[key] = counts.get(key, 0) + 1
reps[key] = ts
if not counts:
return None
best = max(counts, key=lambda k: counts[k])
return f"busiest day {_period_label(reps[best], 'day')} · {counts[best]} learned"
def build_summary(payload: dict[str, Any]) -> list[str]:
stats = payload.get("stats", {}) or {}
lines: list[str] = []
learned = stats.get("learned_skills", stats.get("nodes", 0))
mem = stats.get("memory_nodes", 0)
edges = stats.get("related_edges", 0)
lines.append(f"{learned} learned skills · {mem} memories · {edges} skill links")
extra = []
if stats.get("memory_skill_edges"):
extra.append(f"{stats['memory_skill_edges']} memory↔skill links")
peak = _peak_day(payload)
if peak:
extra.append(peak)
if extra:
lines.append(" · ".join(extra))
return lines
def _merge_runs(cells: Iterable[Run]) -> Row:
out: Row = []
for run in cells:
text, style, alpha = run[0], run[1], (run[2] if len(run) > 2 else 1.0)
hex_override = run[3] if len(run) > 3 else None
prev_hex = out[-1][3] if out and len(out[-1]) > 3 else None
if out and out[-1][1] == style and abs(out[-1][2] - alpha) < 1e-6 and prev_hex == hex_override:
out[-1][0] += text
else:
merged: Run = [text, style, alpha]
if hex_override:
merged.append(hex_override)
out.append(merged)
return out
def render_frames(payload: dict[str, Any], *, cols: int = 80, rows: int = 16, frames: int = 48) -> dict[str, Any]:
"""Pre-render a full play-through (reveal 0→1) plus static legend/summary."""
frames = max(2, min(frames, 240))
nodes = list(payload.get("nodes", []))
rec = compute_recency(nodes)
# Mirror render_graph's bucketing so the interactive row list lines up with
# what the user sees.
buckets = _build_chart_buckets(nodes, rec, max_rows=max(4, rows - 3)) if nodes else []
out_frames = []
for i in range(frames):
reveal = i / (frames - 1)
frame = render_graph(payload, cols=cols, rows=rows, reveal=reveal)
out_frames.append(
{
"reveal": frame["reveal"],
"date": frame["date"],
"visible": frame["visible"],
"grid": frame["grid"],
"labels": frame.get("labels", []),
}
)
return {
"frames": out_frames,
"legend": build_legend(payload),
"categories": category_legend(payload),
"buckets": _bucket_rows(buckets, payload),
"summary": build_summary(payload),
"axis": axis_labels(payload),
"count": len(payload.get("nodes", [])),
"cols": cols,
"rows": rows,
}
-206
View File
@@ -1,206 +0,0 @@
"""User-initiated edit/delete for journey nodes (learned skills + memories).
The journey graph (``agent.learning_graph``) gives every node a stable id:
- **skills** the skill name (e.g. ``"debugging-hermes-desktop"``)
- **memories** ``memory:<source>:<index>`` where ``source`` is ``memory``
(``MEMORY.md``) or ``profile`` (``USER.md``) and ``index`` is the node's
position in the combined card list (``MEMORY.md`` cards first, then
``USER.md``).
This module maps a node id back to its on-disk home and performs the mutation,
shared by the CLI (``hermes journey delete|edit``), the TUI ``/journey`` overlay
(gateway RPCs), and the desktop GUI (REST). Deleting a skill *archives* it
(recoverable via ``hermes curator restore``); deleting a memory rewrites its
file. Pure stdlib + existing skill/memory helpers.
"""
from __future__ import annotations
from pathlib import Path
from typing import Any
_MEMORY_FILES = {"memory": "MEMORY.md", "profile": "USER.md"}
def parse_node_kind(node_id: str) -> str:
return "memory" if node_id.startswith("memory:") else "skill"
def _memories_dir() -> Path:
from hermes_constants import get_hermes_home
return get_hermes_home() / "memories"
def _parse_memory_id(node_id: str) -> tuple[str, int]:
"""``memory:<source>:<index>`` → (source, global_index)."""
parts = node_id.split(":", 2)
if len(parts) != 3 or parts[0] != "memory" or parts[1] not in _MEMORY_FILES:
raise ValueError(f"bad memory node id: {node_id!r}")
try:
return parts[1], int(parts[2])
except ValueError as exc:
raise ValueError(f"bad memory node id: {node_id!r}") from exc
def _memory_local_index(source: str, global_index: int) -> int:
"""Global card index → position within the source's own file.
``_memory_cards`` emits all ``MEMORY.md`` cards before ``USER.md`` cards, so
a profile card's local index is its global index minus the memory count.
"""
from agent.learning_graph import _memory_cards
cards = _memory_cards()
if not 0 <= global_index < len(cards):
raise IndexError(f"memory index {global_index} out of range")
if cards[global_index].get("source") != source:
raise ValueError("memory node id is stale — refresh the graph")
if source == "memory":
return global_index
return global_index - sum(1 for c in cards if c.get("source") == "memory")
def _locate_memory(source: str, gidx: int) -> tuple[Path, list[str], int]:
"""Resolve a memory card to its file, all §-delimited entries, and local index.
Entries come from ``MemoryStore._read_file`` the same parser the memory
tool uses so journey indices stay aligned with what the graph renders.
"""
from tools.memory_tool import MemoryStore
path = _memories_dir() / _MEMORY_FILES[source]
if not path.exists():
raise ValueError(f"{path.name} not found")
chunks = MemoryStore._read_file(path)
local = _memory_local_index(source, gidx)
if not 0 <= local < len(chunks):
raise ValueError("memory node id is stale — refresh the graph")
return path, chunks, local
# ── Inspect (edit prefill) ──────────────────────────────────────────────────
def node_detail(node_id: str) -> dict[str, Any]:
"""Current content for an edit prefill. ``content`` is the full SKILL.md
(skills) or the raw memory chunk (memories)."""
try:
return _node_detail(node_id)
except (ValueError, IndexError) as exc:
return {"ok": False, "message": str(exc)}
def _node_detail(node_id: str) -> dict[str, Any]:
if parse_node_kind(node_id) == "memory":
source, gidx = _parse_memory_id(node_id)
_, chunks, local = _locate_memory(source, gidx)
body = chunks[local].strip()
return {"ok": True, "kind": "memory", "id": node_id, "label": body.splitlines()[0][:80], "content": body}
from tools.skill_manager_tool import _find_skill
found = _find_skill(node_id)
if not found:
return {"ok": False, "message": f"skill '{node_id}' not found"}
skill_md = Path(found["path"]) / "SKILL.md"
if not skill_md.exists():
return {"ok": False, "message": f"SKILL.md missing for '{node_id}'"}
return {
"ok": True,
"kind": "skill",
"id": node_id,
"label": node_id,
"content": skill_md.read_text(encoding="utf-8"),
}
# ── Delete ──────────────────────────────────────────────────────────────────
def delete_node(node_id: str) -> dict[str, Any]:
try:
return _delete_memory(node_id) if parse_node_kind(node_id) == "memory" else _delete_skill(node_id)
except (ValueError, IndexError) as exc:
return {"ok": False, "message": str(exc)}
def _delete_skill(name: str) -> dict[str, Any]:
from tools import skill_usage
if skill_usage.get_record(name).get("pinned"):
return {"ok": False, "message": f"'{name}' is pinned — unpin it first (hermes curator unpin {name})"}
ok, message = skill_usage.archive_skill(name)
if ok:
_clear_skill_cache()
return {"ok": ok, "message": f"archived '{name}' — restore with: hermes curator restore {name}" if ok else message}
def _delete_memory(node_id: str) -> dict[str, Any]:
source, gidx = _parse_memory_id(node_id)
path, chunks, local = _locate_memory(source, gidx)
del chunks[local]
_write_memory(path, chunks)
return {"ok": True, "message": f"deleted memory from {path.name}"}
# ── Edit ────────────────────────────────────────────────────────────────────
def edit_node(node_id: str, content: str) -> dict[str, Any]:
try:
return _edit_memory(node_id, content) if parse_node_kind(node_id) == "memory" else _edit_skill(node_id, content)
except (ValueError, IndexError) as exc:
return {"ok": False, "message": str(exc)}
def _edit_skill(name: str, content: str) -> dict[str, Any]:
from tools.skill_manager_tool import _edit_skill as _do_edit
result = _do_edit(name, content)
if result.get("success"):
_clear_skill_cache()
return {"ok": True, "message": f"updated '{name}'"}
return {"ok": False, "message": result.get("error", "edit failed")}
def _edit_memory(node_id: str, content: str) -> dict[str, Any]:
source, gidx = _parse_memory_id(node_id)
body = content.strip()
if not body:
return {"ok": False, "message": "empty memory — use delete to remove it"}
path, chunks, local = _locate_memory(source, gidx)
chunks[local] = body
_write_memory(path, chunks)
return {"ok": True, "message": f"updated memory in {path.name}"}
# ── Helpers ─────────────────────────────────────────────────────────────────
def _write_memory(path: Path, chunks: list[str]) -> None:
"""Atomic temp-file + rename via the memory tool, so a concurrent reader
never sees a half-written file (and the §-join stays single-sourced)."""
from tools.memory_tool import MemoryStore
MemoryStore._write_file(path, [c.strip() for c in chunks if c.strip()])
def _clear_skill_cache() -> None:
try:
from agent.prompt_builder import clear_skills_system_prompt_cache
clear_skills_system_prompt_cache(clear_snapshot=True)
except Exception:
pass
-12
View File
@@ -20,17 +20,6 @@ _LM_VALID_EFFORTS = {"none", "minimal", "low", "medium", "high", "xhigh"}
# Map them onto the OpenAI-compatible request vocabulary.
_LM_EFFORT_ALIASES = {"off": "none", "on": "medium"}
# Hermes' generic effort ladder grew past LM Studio's vocabulary ("max",
# "ultra"). Clamp the stronger generic levels onto LM Studio's ceiling: left
# alone they miss _LM_VALID_EFFORTS, keep the initialized "medium" default and
# are thereby conflated with unparseable input, so asking for more reasoning
# yields less than "xhigh". Mirrors the ceiling clamp every other provider
# applies (see agent/transports/codex.py).
#
# Deliberately separate from _LM_EFFORT_ALIASES: that mapping is also applied
# to the model's published allowed_options, which must not be rewritten.
_LM_EFFORT_CLAMP = {"max": "xhigh", "ultra": "xhigh"}
def resolve_lmstudio_effort(
reasoning_config: Optional[dict],
@@ -50,7 +39,6 @@ def resolve_lmstudio_effort(
else:
raw = (reasoning_config.get("effort") or "").strip().lower()
raw = _LM_EFFORT_ALIASES.get(raw, raw)
raw = _LM_EFFORT_CLAMP.get(raw, raw)
if raw in _LM_VALID_EFFORTS:
effort = raw
if allowed_options:
-8
View File
@@ -263,13 +263,6 @@ class LSPClient:
cmd = self._win_wrap_cmd(cmd)
try:
# start_new_session=True detaches the LSP server into its own
# process group / session. Without this, the LSP server inherits
# the gateway's pgid (= TUI parent PID). When mcp_tool's
# _kill_orphaned_mcp_children races with LSP spawn and sweeps the
# gateway's child set, it captures the LSP PID, records the
# inherited pgid, and killpg() then kills the TUI parent itself.
# See tui_gateway_crash.log "killpg → SIGTERM received" stacks.
self._proc = await asyncio.create_subprocess_exec(
cmd[0],
*cmd[1:],
@@ -278,7 +271,6 @@ class LSPClient:
stderr=asyncio.subprocess.PIPE,
env=env,
cwd=self._cwd,
start_new_session=True,
)
except FileNotFoundError as e:
raise LSPProtocolError(
+7 -10
View File
@@ -102,11 +102,6 @@ INSTALL_RECIPES: Dict[str, Dict[str, Any]] = {
# Lua — manual (LuaLS is platform-specific binaries from GitHub
# releases; complex enough that we punt to the user)
"lua-language-server": {"strategy": "manual", "pkg": "", "bin": "lua-language-server"},
# PowerShell — PowerShellEditorServices ships as a GitHub release
# zip driven by a pwsh bootstrap script, not a single binary. We
# require a manual bundle install and probe for the pwsh host so
# `hermes lsp status` reports the host's presence.
"powershell": {"strategy": "manual", "pkg": "", "bin": "pwsh"},
}
@@ -348,15 +343,17 @@ def _install_pip(pkg: str, bin_name: str) -> Optional[str]:
pip_target.mkdir(parents=True, exist_ok=True)
try:
logger.info("[install] pip install --target %s %s", pip_target, pkg)
from hermes_cli.tools_config import _pip_install
proc = _pip_install(
["--target", str(pip_target), "--quiet", pkg],
proc = subprocess.run(
[sys.executable, "-m", "pip", "install", "--target", str(pip_target), "--quiet", pkg],
check=False,
capture_output=True,
text=True,
timeout=300,
stdin=subprocess.DEVNULL,
)
if proc.returncode != 0:
logger.warning(
"[install] pip install failed for %s: %s", pkg, (proc.stderr or "").strip()[:500]
"[install] pip install failed for %s: %s", pkg, proc.stderr.strip()[:500]
)
return None
except (subprocess.TimeoutExpired, OSError) as e:
+1 -1
View File
@@ -91,7 +91,7 @@ async def read_message(reader: asyncio.StreamReader) -> Optional[dict]:
header_bytes += len(line)
if header_bytes > 8192:
raise LSPProtocolError(
"LSP header block exceeded 8 KiB without terminator"
f"LSP header block exceeded 8 KiB without terminator"
)
line = line[:-2] # strip CRLF
if not line:
+6 -58
View File
@@ -8,7 +8,6 @@ OpenCode's ``lsp/diagnostic.ts`` and Claude Code's
"""
from __future__ import annotations
import html
from typing import Any, Dict, List
# Severity-1 only by default — warnings/info/hints would flood the
@@ -19,65 +18,18 @@ DEFAULT_SEVERITIES = frozenset({1}) # ERROR only
MAX_PER_FILE = 20
MAX_TOTAL_CHARS = 4000
# Per-field caps for diagnostic content sourced from the language server.
# These bound the length of any single attacker-controlled identifier that
# can ride into the model's tool output via an LSP diagnostic message.
MAX_MESSAGE_CHARS = 300
MAX_CODE_CHARS = 80
MAX_SOURCE_CHARS = 80
def _sanitize_field(value: Any, *, limit: int) -> str:
"""Make a language-server field safe to embed in a tool-result block.
Diagnostic ``message``, ``code``, and ``source`` originate from a
language server that has just parsed user-controlled source code, so
they're untrusted from the agent's point of view. A hostile repo can
place instruction-shaped text inside identifier names, type aliases,
or import paths so the resulting diagnostic echoes that text back
into the ``<diagnostics>`` block the model reads.
This helper:
* Collapses CR/LF so a raw newline can't synthesize a new line in the
formatted block.
* Drops non-printable ASCII control characters that have no business
in a single-line summary.
* Caps length per-field so a long identifier can't push past the
block boundary.
* HTML-escapes ``< > &`` so the result can't close ``<diagnostics>``
early or open a new tag.
Returns ``""`` for ``None`` / empty so the surrounding format string
naturally omits the part (mirrors the prior ``if code not in {None,
""}`` check at call sites).
"""
if value is None:
return ""
raw = str(value)
# Collapse newlines so identifier text with raw \n can't fake new lines.
raw = raw.replace("\r", " ").replace("\n", " ")
# Drop ASCII control chars; keep regular spaces.
raw = "".join(ch for ch in raw if ch == " " or ch.isprintable())
raw = raw.strip()[:limit]
return html.escape(raw, quote=False)
def format_diagnostic(d: Dict[str, Any]) -> str:
"""One-line representation of a single diagnostic.
``message``, ``code``, and ``source`` are sanitized before
interpolation see ``_sanitize_field``.
"""
"""One-line representation of a single diagnostic."""
sev = SEVERITY_NAMES.get(d.get("severity") or 1, "ERROR")
rng = d.get("range") or {}
start = rng.get("start") or {}
line = int(start.get("line", 0)) + 1
col = int(start.get("character", 0)) + 1
msg = _sanitize_field(d.get("message"), limit=MAX_MESSAGE_CHARS)
code = _sanitize_field(d.get("code"), limit=MAX_CODE_CHARS)
code_part = f" [{code}]" if code else ""
source = _sanitize_field(d.get("source"), limit=MAX_SOURCE_CHARS)
msg = str(d.get("message") or "").rstrip()
code = d.get("code")
code_part = f" [{code}]" if code not in {None, ""} else ""
source = d.get("source")
source_part = f" ({source})" if source else ""
return f"{sev} [{line}:{col}] {msg}{code_part}{source_part}"
@@ -105,11 +57,7 @@ def report_for_file(
body = "\n".join(lines)
if extra > 0:
body += f"\n... and {extra} more"
# quote=True escapes both ``"`` and ``&`` so a crafted file name like
# ``foo"><script`` can't break out of the ``file="..."`` attribute and
# synthesize new tags inside the tool output.
safe_path = html.escape(file_path, quote=True)
return f"<diagnostics file=\"{safe_path}\">\n{body}\n</diagnostics>"
return f"<diagnostics file=\"{file_path}\">\n{body}\n</diagnostics>"
def truncate(s: str, *, limit: int = MAX_TOTAL_CHARS) -> str:
-147
View File
@@ -102,9 +102,6 @@ LANGUAGE_BY_EXT: Dict[str, str] = {
".zig": "zig",
".zon": "zig",
".dockerfile": "dockerfile",
".ps1": "powershell",
".psm1": "powershell",
".psd1": "powershell",
}
@@ -679,131 +676,6 @@ def _spawn_astro(root: str, ctx: ServerContext) -> Optional[SpawnSpec]:
)
_PSES_BUNDLE_WARNED = False
def _find_pses_bundle(ctx: ServerContext) -> Optional[str]:
"""Locate the PowerShellEditorServices module bundle directory.
PSES ships as a GitHub release zip (not an npm/go/pip package), so
there's no auto-install recipe — the user downloads it and points us
at the extracted bundle. Resolution order:
1. ``command`` override in config (``lsp.servers.powershell.command``)
the FIRST element is treated as the bundle path when it's a
directory. This is the documented config knob.
2. ``init_overrides["powershell"]["bundlePath"]``.
3. ``PSES_BUNDLE_PATH`` env var.
4. ``<HERMES_HOME>/lsp/PowerShellEditorServices`` staging dir (where a
user-run unzip would naturally land).
Returns the bundle directory containing ``PowerShellEditorServices/``,
or ``None`` when it can't be found.
"""
candidates: List[str] = []
override = ctx.binary_overrides.get("powershell")
if override and override[0]:
candidates.append(override[0])
init = ctx.init_overrides.get("powershell", {})
if isinstance(init, dict) and init.get("bundlePath"):
candidates.append(str(init["bundlePath"]))
env_path = os.environ.get("PSES_BUNDLE_PATH")
if env_path:
candidates.append(env_path)
home = os.environ.get("HERMES_HOME") or os.path.join(
os.path.expanduser("~"), ".hermes"
)
candidates.append(os.path.join(home, "lsp", "PowerShellEditorServices"))
for cand in candidates:
if not cand:
continue
# Accept either the bundle root or the inner module dir.
start_script = os.path.join(
cand, "PowerShellEditorServices", "Start-EditorServices.ps1"
)
if os.path.isfile(start_script):
return cand
inner = os.path.join(cand, "Start-EditorServices.ps1")
if os.path.isfile(inner):
return os.path.dirname(cand)
return None
def _spawn_powershell_es(root: str, ctx: ServerContext) -> Optional[SpawnSpec]:
"""Spawn PowerShellEditorServices over stdio.
Unlike the single-binary servers, PSES is a PowerShell module driven
by a bootstrap script. We need both a PowerShell host (``pwsh`` for
PowerShell 7+, or Windows ``powershell``) and the PSES module bundle.
The bundle is manual-install (release zip) see ``_find_pses_bundle``.
"""
pwsh = _which("pwsh", "powershell")
if pwsh is None:
return None
bundle = _find_pses_bundle(ctx)
if bundle is None:
global _PSES_BUNDLE_WARNED
if not _PSES_BUNDLE_WARNED:
_PSES_BUNDLE_WARNED = True
logger.warning(
"powershell: pwsh found but the PowerShellEditorServices "
"bundle is missing. Download the release zip from "
"https://github.com/PowerShell/PowerShellEditorServices/releases, "
"extract it, and either set lsp.servers.powershell.command "
"to the bundle path or unzip it to "
"<HERMES_HOME>/lsp/PowerShellEditorServices."
)
return None
start_script = os.path.join(
bundle, "PowerShellEditorServices", "Start-EditorServices.ps1"
)
# Session details file: PSES writes connection info here on startup.
session_path = os.path.join(
hermes_lsp_session_dir(), f"pses-session-{os.getpid()}.json"
)
log_path = os.path.join(hermes_lsp_session_dir(), "pses.log")
inner = (
f"& '{start_script}' "
f"-BundledModulesPath '{bundle}' "
f"-LogPath '{log_path}' "
f"-SessionDetailsPath '{session_path}' "
f"-FeatureFlags @() -AdditionalModules @() "
f"-HostName Hermes -HostProfileId hermes -HostVersion 1.0.0 "
f"-Stdio -LogLevel Normal"
)
return SpawnSpec(
command=[
pwsh,
"-NoLogo",
"-NoProfile",
"-NonInteractive",
"-ExecutionPolicy",
"Bypass",
"-Command",
inner,
],
workspace_root=root,
cwd=root,
env=ctx.env_overrides.get("powershell", {}),
initialization_options={
k: v
for k, v in ctx.init_overrides.get("powershell", {}).items()
if k != "bundlePath"
},
)
def hermes_lsp_session_dir() -> str:
"""Return (and create) the dir for PSES session/log scratch files."""
home = os.environ.get("HERMES_HOME") or os.path.join(
os.path.expanduser("~"), ".hermes"
)
d = os.path.join(home, "lsp", "pses")
os.makedirs(d, exist_ok=True)
return d
def _resolve_override(ctx: ServerContext, server_id: str) -> Optional[str]:
"""User can pin a binary path in config."""
override = ctx.binary_overrides.get(server_id)
@@ -951,18 +823,6 @@ def _root_java(file_path: str, workspace: str) -> Optional[str]:
)
def _root_powershell(file_path: str, workspace: str) -> Optional[str]:
# PowerShell projects rarely have a universal root marker. Use the
# PSScriptAnalyzer settings file when present, otherwise fall back to
# the git workspace root (nearest_root does exact-name matching only,
# so no globs here).
return _root_or_workspace(
file_path,
workspace,
["PSScriptAnalyzerSettings.psd1"],
)
# ---------------------------------------------------------------------------
# the registry
# ---------------------------------------------------------------------------
@@ -1152,13 +1012,6 @@ SERVERS: List[ServerDef] = [
build_spawn=_spawn_jdtls,
description="Java — Eclipse JDT Language Server",
),
ServerDef(
server_id="powershell",
extensions=(".ps1", ".psm1", ".psd1"),
resolve_root=_root_powershell,
build_spawn=_spawn_powershell_es,
description="PowerShell — PowerShellEditorServices (manual bundle)",
),
]
+11 -52
View File
@@ -4,86 +4,45 @@ from __future__ import annotations
from typing import Any, Sequence
from agent.redact import redact_sensitive_text
def summarize_manual_compression(
before_messages: Sequence[dict[str, Any]],
after_messages: Sequence[dict[str, Any]],
before_tokens: int,
after_tokens: int,
*,
compression_state: Any = None,
) -> dict[str, Any]:
"""Return consistent user-facing feedback for manual compression."""
before_count = len(before_messages)
after_count = len(after_messages)
noop = list(after_messages) == list(before_messages)
aborted = (
compression_state is not None
and getattr(compression_state, "_last_compress_aborted", False) is True
)
fallback_used = (
compression_state is not None
and getattr(compression_state, "_last_summary_fallback_used", False) is True
)
failure_reason = (
getattr(compression_state, "_last_summary_error", None)
if compression_state is not None
else None
)
if not isinstance(failure_reason, str) or not failure_reason.strip():
failure_reason = None
if aborted:
headline = f"Compression aborted: {before_count} messages preserved"
elif fallback_used:
headline = (
f"Compressed with fallback: {before_count}{after_count} messages"
)
elif noop:
if noop:
headline = f"No changes from compression: {before_count} messages"
if after_tokens == before_tokens:
token_line = (
f"Approx request size: ~{before_tokens:,} tokens (unchanged)"
)
else:
token_line = (
f"Approx request size: ~{before_tokens:,}"
f"~{after_tokens:,} tokens"
)
else:
headline = f"Compressed: {before_count}{after_count} messages"
if noop and after_tokens == before_tokens:
token_line = f"Approx request size: ~{before_tokens:,} tokens (unchanged)"
else:
token_line = (
f"Approx request size: ~{before_tokens:,}"
f"~{after_tokens:,} tokens"
)
note = None
if aborted:
note = "Summary generation failed; no messages were removed."
elif fallback_used:
dropped_count = getattr(
compression_state, "_last_summary_dropped_count", None
)
if not isinstance(dropped_count, int) or isinstance(dropped_count, bool):
dropped_count = max(before_count - after_count, 0)
note = (
"Summary generation failed; Hermes used limited fallback context "
f"and removed {dropped_count} message(s)."
)
elif not noop and after_count < before_count and after_tokens > before_tokens:
if not noop and after_count < before_count and after_tokens > before_tokens:
note = (
"Note: fewer messages can still raise this estimate when "
"compression rewrites the transcript into denser summaries."
)
if failure_reason and (aborted or fallback_used):
# This text crosses a user-facing UI boundary. Never let a disabled
# global redaction preference expose credentials embedded in provider
# exception text.
safe_reason = redact_sensitive_text(failure_reason.strip(), force=True)
note = f"{note} Reason: {safe_reason}"
return {
"noop": noop,
"aborted": aborted,
"fallback_used": fallback_used,
"headline": headline,
"token_line": token_line,
"note": note,
+57 -207
View File
@@ -30,7 +30,7 @@ import logging
import re
import inspect
import threading
from concurrent.futures import Future, ThreadPoolExecutor, wait
from concurrent.futures import ThreadPoolExecutor
from typing import Any, Callable, Dict, List, Optional
from agent.memory_provider import MemoryProvider
@@ -44,7 +44,6 @@ logger = logging.getLogger(__name__)
# teardown indefinitely — the worker threads are daemon, so anything still
# running past this window dies with the interpreter.
_SYNC_DRAIN_TIMEOUT_S = 5.0
_EXTERNAL_PREFETCH_TIMEOUT_S = 8.0
def normalize_tool_schema(schema: Any) -> Optional[Dict[str, Any]]:
@@ -358,19 +357,10 @@ class MemoryManager:
provider is allowed. Failures in one provider never block the other.
"""
def __init__(self, *, external_prefetch_timeout: Optional[float] = None) -> None:
def __init__(self) -> None:
self._providers: List[MemoryProvider] = []
self._tool_to_provider: Dict[str, MemoryProvider] = {}
self._has_external: bool = False # True once a non-builtin provider is added
self._external_prefetch_timeout = (
_EXTERNAL_PREFETCH_TIMEOUT_S
if external_prefetch_timeout is None
else float(external_prefetch_timeout)
)
if self._external_prefetch_timeout <= 0:
raise ValueError("external_prefetch_timeout must be positive")
self._external_prefetch_threads: Dict[str, threading.Thread] = {}
self._external_prefetch_lock = threading.Lock()
# Background executor for end-of-turn sync/prefetch. Lazily created on
# first use so the common builtin-only path spawns no extra threads.
# A single worker serializes a provider's writes (turn N must land
@@ -378,16 +368,6 @@ class MemoryManager:
# _submit_background() and the sync_all/queue_prefetch_all rationale.
self._sync_executor: Optional[ThreadPoolExecutor] = None
self._sync_executor_lock = threading.Lock()
# Futures are tracked by durability class so shutdown can give writes
# a bounded FIFO drain, then explicitly report anything abandoned.
self._background_futures: Dict[Future, str] = {}
self._shutting_down = False
self._shutdown_drain_state: Dict[str, Any] = {
"status": "not_started",
"abandoned_writes": 0,
"abandoned_prefetches": 0,
"active_tasks": 0,
}
# -- Registration --------------------------------------------------------
@@ -524,7 +504,7 @@ class MemoryManager:
parts = []
for provider in self._providers:
try:
result = self._prefetch_provider(provider, clean_query, session_id=session_id)
result = provider.prefetch(clean_query, session_id=session_id)
if result and result.strip():
parts.append(result)
except Exception as e:
@@ -534,56 +514,6 @@ class MemoryManager:
)
return "\n\n".join(parts)
def _prefetch_provider(
self, provider: MemoryProvider, query: str, *, session_id: str = ""
) -> str:
if provider.name == "builtin":
return provider.prefetch(query, session_id=session_id)
result_box: Dict[str, str] = {}
error_box: Dict[str, Exception] = {}
def _run() -> None:
try:
result_box["value"] = provider.prefetch(query, session_id=session_id) or ""
except Exception as exc: # pragma: no cover - re-raised by caller
error_box["value"] = exc
thread = threading.Thread(
target=_run,
daemon=True,
name=f"memory-prefetch-{provider.name}",
)
with self._external_prefetch_lock:
existing = self._external_prefetch_threads.get(provider.name)
if existing is not None:
if existing.is_alive():
logger.debug(
"Memory provider '%s' prefetch is still running; skipping this turn",
provider.name,
)
return ""
self._external_prefetch_threads.pop(provider.name, None)
self._external_prefetch_threads[provider.name] = thread
thread.start()
thread.join(self._external_prefetch_timeout)
if thread.is_alive():
logger.warning(
"Memory provider '%s' prefetch timed out after %.1fs; skipping it until "
"the stuck call returns",
provider.name,
self._external_prefetch_timeout,
)
return ""
with self._external_prefetch_lock:
if self._external_prefetch_threads.get(provider.name) is thread:
self._external_prefetch_threads.pop(provider.name, None)
if error_box:
raise error_box["value"]
return result_box.get("value", "")
def queue_prefetch_all(self, query: str, *, session_id: str = "") -> None:
"""Queue background prefetch on all providers for the next turn.
@@ -609,7 +539,7 @@ class MemoryManager:
provider.name, e,
)
self._submit_background(_run, kind="prefetch")
self._submit_background(_run)
# -- Sync ----------------------------------------------------------------
@@ -685,59 +615,43 @@ class MemoryManager:
# -- Background dispatch -------------------------------------------------
def _submit_background(self, fn, *, kind: str = "write") -> None:
"""Queue ``fn`` on the serialized worker and track its durability class."""
def _submit_background(self, fn) -> None:
"""Run ``fn`` on the manager's background worker.
The executor is created lazily and shared across calls. If the
executor can't be created or has already been shut down, ``fn``
runs inline as a last-resort fallback losing the async benefit
but never losing the write itself. ``fn`` must do its own
per-provider error handling; this wrapper only guards executor
plumbing.
"""
executor = self._get_sync_executor()
if executor is None:
if self._shutting_down:
logger.warning("Memory manager is shutting down; rejecting late %s task", kind)
return
# Creation failure outside shutdown: preserve the historical
# fail-safe behavior and run the operation inline.
# Executor unavailable (shut down / creation failed) — run
# inline rather than drop the work. Slow, but correct.
try:
fn()
except Exception as e: # pragma: no cover - fn guards internally
logger.debug("Inline memory background task failed: %s", e)
return
try:
# Make submit+tracking atomic with the shutdown snapshot. The
# callback is attached after releasing the lock because an already
# completed future invokes callbacks synchronously.
with self._sync_executor_lock:
if self._shutting_down:
logger.warning("Memory manager is shutting down; rejecting late %s task", kind)
return
future = executor.submit(fn)
self._background_futures[future] = kind
future.add_done_callback(self._forget_background_future)
executor.submit(fn)
except RuntimeError:
if self._shutting_down:
logger.warning("Memory manager shut down during %s submission; task rejected", kind)
return
# Executor was shut down between the get and the submit
# (teardown race). Fall back to inline.
try:
fn()
except Exception as e: # pragma: no cover - fn guards internally
logger.debug("Inline memory background task failed: %s", e)
def _forget_background_future(self, future: Future) -> None:
with self._sync_executor_lock:
self._background_futures.pop(future, None)
def _get_sync_executor(self) -> Optional[ThreadPoolExecutor]:
"""Lazily create the single-worker background executor."""
if self._shutting_down:
return None
if self._sync_executor is not None:
return self._sync_executor
with self._sync_executor_lock:
if self._shutting_down:
return None
if self._sync_executor is None:
try:
# Daemon workers (see tools.daemon_pool): a provider wedged
# on a network call must never block interpreter exit.
from tools.daemon_pool import DaemonThreadPoolExecutor
self._sync_executor = DaemonThreadPoolExecutor(
self._sync_executor = ThreadPoolExecutor(
max_workers=1,
thread_name_prefix="mem-sync",
)
@@ -864,55 +778,6 @@ class MemoryManager:
exc_info=True,
)
def commit_session_boundary_async(
self,
messages: List[Dict[str, Any]],
*,
new_session_id: str,
parent_session_id: str = "",
reason: str = "new_session",
) -> None:
"""Queue old-session extraction + provider rebinding as ONE serialized task.
Session rotation (/new) must deliver ``on_session_end`` (end-of-session
extraction an LLM-bound call that can take seconds) strictly BEFORE
``on_session_switch`` (which rebinds provider-internal ``_session_id`` /
turn buffers to the new session). Running extraction inline blocked the
/new command for the whole LLM round-trip (#16454); running it on an
ad-hoc thread raced the inline switch providers key off internal
state, so a late ``on_session_end`` ran against post-switch bindings
(transcript misattributed to the new session id, double-ingest of the
old turn buffer, new-session buffers cleared).
Submitting BOTH hooks as one task on the manager's single background
worker gives both properties at a single chokepoint: the caller returns
immediately, and the worker's FIFO order serializes end→switch against
every other provider write (per-turn ``sync_all``, prefetches), which
already share the same worker. If the executor is unavailable,
``_submit_background`` degrades to inline execution the pre-#16454
synchronous behavior, slow but correct.
"""
if not self._providers:
return
snapshot = list(messages or [])
def _run() -> None:
try:
self.on_session_end(snapshot)
except Exception as e: # pragma: no cover - on_session_end guards per-provider
logger.warning("Session-boundary extraction failed: %s", e)
try:
self.on_session_switch(
new_session_id,
parent_session_id=parent_session_id,
reset=True,
reason=reason,
)
except Exception as e: # pragma: no cover - on_session_switch guards per-provider
logger.warning("Session-boundary switch failed: %s", e)
self._submit_background(_run)
def on_session_switch(
self,
new_session_id: str,
@@ -1150,66 +1015,51 @@ class MemoryManager:
provider.name, e,
)
@property
def shutdown_drain_state(self) -> Dict[str, Any]:
"""Snapshot of the most recent bounded shutdown drain outcome."""
with self._sync_executor_lock:
return dict(self._shutdown_drain_state)
def _drain_sync_executor(self) -> None:
"""Give queued FIFO work a bounded chance, then abandon explicitly."""
"""Shut down the background executor, waiting briefly for drain.
Bounded by ``_SYNC_DRAIN_TIMEOUT_S``: a wedged provider must never
hang process/session teardown. We stop accepting new work and
cancel anything still queued, then wait at most the drain timeout
for the currently-running task on a watcher thread. The worker is
daemon, so an over-running task dies with the interpreter.
"""
with self._sync_executor_lock:
self._shutting_down = True
executor = self._sync_executor
self._sync_executor = None
tracked = dict(self._background_futures)
self._shutdown_drain_state = {
"status": "draining" if executor is not None else "drained",
"abandoned_writes": 0,
"abandoned_prefetches": 0,
"active_tasks": sum(not future.done() for future in tracked),
}
if executor is None:
return
# shutdown(wait=False) closes submission without touching the FIFO.
# Waiting on the tracked futures lets the real single-worker executor
# run every queued write/boundary task in order up to the deadline.
executor.shutdown(wait=False, cancel_futures=False)
_, pending = wait(tuple(tracked), timeout=_SYNC_DRAIN_TIMEOUT_S)
if not pending:
with self._sync_executor_lock:
self._shutdown_drain_state.update(status="drained", active_tasks=0)
try:
# Stop accepting new work and drop anything still queued, but
# do NOT block here — cancel_futures cancels not-yet-started
# tasks; the in-flight one keeps running on its daemon thread.
executor.shutdown(wait=False, cancel_futures=True)
except TypeError:
# Older Python without cancel_futures kwarg.
try:
executor.shutdown(wait=False)
except Exception as e: # pragma: no cover
logger.debug("Memory sync executor shutdown failed: %s", e)
return
abandoned_writes = 0
abandoned_prefetches = 0
active_tasks = 0
for future in pending:
kind = tracked[future]
if future.cancel():
if kind == "prefetch":
abandoned_prefetches += 1
else:
abandoned_writes += 1
else:
active_tasks += 1
with self._sync_executor_lock:
self._shutdown_drain_state.update(
status="timed_out",
abandoned_writes=abandoned_writes,
abandoned_prefetches=abandoned_prefetches,
active_tasks=active_tasks,
)
logger.warning(
"Memory shutdown drain timed out after %.2fs; abandoning %d queued "
"memory write(s) and %d queued prefetch(es); %d active task(s) remain detached",
_SYNC_DRAIN_TIMEOUT_S,
abandoned_writes,
abandoned_prefetches,
active_tasks,
except Exception as e: # pragma: no cover
logger.debug("Memory sync executor shutdown failed: %s", e)
return
# Give an in-flight sync a bounded chance to finish on a watcher
# thread so we don't block the caller past the drain timeout.
drainer = threading.Thread(
target=lambda: self._bounded_executor_wait(executor),
daemon=True,
name="mem-sync-drain",
)
drainer.start()
drainer.join(timeout=_SYNC_DRAIN_TIMEOUT_S)
@staticmethod
def _bounded_executor_wait(executor: ThreadPoolExecutor) -> None:
try:
executor.shutdown(wait=True)
except Exception as e: # pragma: no cover
logger.debug("Memory sync executor drain wait failed: %s", e)
def initialize_all(self, session_id: str, **kwargs) -> None:
"""Initialize all providers.
+78 -954
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-167
View File
@@ -1,167 +0,0 @@
"""Full MoA turn trace persistence (opt-in via config ``moa.save_traces``).
When enabled, every Mixture-of-Agents turn that actually runs the reference
fan-out (a cache MISS in ``MoAChatCompletions.create``) appends one JSON line
to ``<hermes_home>/moa-traces/<session_id>.jsonl``. The record is the TRUE
FULL turn the exact messages array each reference model received (system
prompt + advisory view, not the truncated display preview), each reference's
full output, and the exact messages array the aggregator received (including
the injected reference-context guidance block) plus its output when available
so a run can be audited end-to-end offline: what every model saw, what every
model said, and what it cost.
This is a side-channel trace. It is NOT the conversation ``messages`` table and
never enters message history or replay MoA references are advisory side-calls
with their own system prompt, not conversation turns, so persisting them as
message rows would corrupt role alternation / replay. Traces live in their own
files, keyed by session id, and are safe to delete.
Cost model note: gated OFF by default. When off, the only overhead is the
``_traces_enabled()`` config read (cheap) no file I/O, no serialization.
"""
from __future__ import annotations
import json
import logging
import os
import time
from pathlib import Path
from typing import Any, Optional
from hermes_constants import get_hermes_home
logger = logging.getLogger(__name__)
def _traces_enabled_and_dir() -> Optional[Path]:
"""Return the trace directory if ``moa.save_traces`` is on, else None.
Reads config lazily per call (config is cheap to load and this only runs on
a cache-MISS MoA turn, i.e. once per user turn, not per tool iteration).
``moa.trace_dir`` overrides the default ``<hermes_home>/moa-traces/``.
"""
try:
from hermes_cli.config import load_config
moa_cfg = (load_config() or {}).get("moa") or {}
except Exception: # pragma: no cover - defensive: never break a turn over tracing
return None
if not moa_cfg.get("save_traces"):
return None
override = moa_cfg.get("trace_dir")
if override:
base = Path(os.path.expandvars(os.path.expanduser(str(override))))
else:
base = get_hermes_home() / "moa-traces"
return base
def _sanitize_session_id(session_id: Optional[str]) -> str:
"""Make a session id safe as a filename component."""
if not session_id:
return "unknown-session"
return "".join(c if (c.isalnum() or c in "-_.") else "_" for c in str(session_id))
def _slot_trace(acct: Any, label: str) -> dict[str, Any]:
"""Render one reference's _RefAccounting into a full trace dict.
Includes the FULL input messages the reference received and its FULL
output not the truncated display preview.
"""
usage = getattr(acct, "usage", None)
usage_dict: dict[str, Any] = {}
if usage is not None:
usage_dict = {
"input_tokens": getattr(usage, "input_tokens", 0),
"output_tokens": getattr(usage, "output_tokens", 0),
"cache_read_tokens": getattr(usage, "cache_read_tokens", 0),
"cache_write_tokens": getattr(usage, "cache_write_tokens", 0),
"reasoning_tokens": getattr(usage, "reasoning_tokens", 0),
}
return {
"label": label,
"model": getattr(acct, "model", None),
"provider": getattr(acct, "provider", None),
"temperature": getattr(acct, "temperature", None),
"input_messages": getattr(acct, "messages", None),
"output": getattr(acct, "output", None),
"usage": usage_dict,
"cost_usd": getattr(acct, "cost_usd", None),
"cost_status": getattr(acct, "cost_status", None),
"cost_source": getattr(acct, "cost_source", None),
}
def save_moa_turn(
*,
session_id: Optional[str],
preset_name: str,
reference_outputs: list[tuple[str, str, Any]],
aggregator_label: str,
aggregator_model: Optional[str],
aggregator_provider: Optional[str],
aggregator_temperature: Any,
aggregator_input_messages: Any,
aggregator_output: Optional[str],
aggregator_streamed: bool,
) -> None:
"""Append one full MoA turn record to the session's trace JSONL, if enabled.
Best-effort: any failure is logged at debug and swallowed tracing must
never break a live turn. Called once per turn on a reference cache MISS.
``aggregator_output`` is the aggregator's synthesized text. On the
non-streaming path (eval / quiet-mode / subagents) it was captured inline
at call time. On the streaming path it is captured after the fact from the
caller's resolved assistant text (``aggregator_output_fallback`` in
``consume_and_save_trace``) so the trace is self-contained either way; if
that resolved text was unavailable, it falls back to None and the record
points at the session store via ``output_location``.
"""
base = _traces_enabled_and_dir()
if base is None:
return
try:
base.mkdir(parents=True, exist_ok=True)
path = base / f"{_sanitize_session_id(session_id)}.jsonl"
# output_location tells an offline reader where the acting text lives:
# embedded here when we have it (both non-streaming inline capture and
# streaming after-the-fact capture), else the session-db assistant row.
_have_output = bool(aggregator_output)
if not aggregator_streamed:
_output_location = "inline"
elif _have_output:
_output_location = "inline_from_stream"
else:
_output_location = "assistant_message_in_session_db"
record = {
"ts": time.time(),
"session_id": session_id,
"preset": preset_name,
"references": [
_slot_trace(acct, label)
for label, _text, acct in reference_outputs
],
"aggregator": {
"label": aggregator_label,
"model": aggregator_model,
"provider": aggregator_provider,
"temperature": aggregator_temperature,
"input_messages": aggregator_input_messages,
"output": aggregator_output,
"streamed": aggregator_streamed,
# Where the aggregator's acting output lives for this record.
# "inline" — non-streaming inline capture
# "inline_from_stream" — streamed, then captured from the
# caller's resolved assistant text
# "assistant_message_in_session_db" — streamed and the resolved
# text was unavailable at flush time
"output_location": _output_location,
},
}
with path.open("a", encoding="utf-8") as f:
f.write(json.dumps(record, ensure_ascii=False, default=str) + "\n")
except Exception as exc: # pragma: no cover - tracing must never break a turn
logger.debug("MoA trace write failed (session=%s): %s", session_id, exc)
+79 -703
View File
File diff suppressed because it is too large Load Diff
+2 -2
View File
@@ -209,7 +209,7 @@ def mark_seen(config_path: Path, flag: str) -> bool:
"""
try:
import yaml
from hermes_cli.config import atomic_config_write
from utils import atomic_yaml_write
except Exception as e: # pragma: no cover — dependency issue
logger.debug("onboarding: failed to import yaml/utils: %s", e)
return False
@@ -228,7 +228,7 @@ def mark_seen(config_path: Path, flag: str) -> bool:
if seen.get(flag) is True:
return True # already marked — nothing to do
seen[flag] = True
atomic_config_write(config_path, cfg)
atomic_yaml_write(config_path, cfg)
return True
except Exception as e:
logger.debug("onboarding: failed to mark flag %s: %s", flag, e)
+1 -65
View File
@@ -230,68 +230,6 @@ def _png_bytes(frame) -> bytes:
return buf.getvalue()
def _union_alpha_bbox(frames) -> tuple[int, int, int, int] | None:
"""Union opaque-pixel bbox across *frames* (a stable trim for animation)."""
left = top = right = bottom = None
for frame in frames:
try:
bbox = frame.getchannel("A").getbbox()
except Exception: # noqa: BLE001 - cosmetic; fail open
bbox = None
if not bbox:
continue
l, t, r, b = bbox
left = l if left is None else min(left, l)
top = t if top is None else min(top, t)
right = r if right is None else max(right, r)
bottom = b if bottom is None else max(bottom, b)
if left is None or top is None or right is None or bottom is None:
return None
return (left, top, right, bottom)
def _crop_frames_to_alpha_union(frames):
"""Crop every frame to the union opaque bbox so the sprite hugs its box.
kitty paints the whole transmitted rectangle, transparent margins included,
which makes the visible pet look small and adrift inside a larger cell box.
Trimming to the visible bounds keeps the pet tight in its corner.
"""
bbox = _union_alpha_bbox(frames)
if not bbox:
return frames
return [f.crop(bbox) for f in frames]
# Nominal terminal cell size in pixels. kitty fits an image to its cell
# rectangle preserving aspect, so a frame whose pixel size isn't a whole
# multiple of the cell rounds up — which makes the terminal clip the bottom row
# (the "clipped feet") and letterbox a blank row. Snapping each frame to an
# exact cell multiple avoids that. (See ratatui-image #57: "render in multiples
# of the font-size, to avoid stale character artifacts.")
_CELL_W = 8
_CELL_H = 16
def _snap_frames_to_cell_grid(frames):
"""Resize frames so width/height are exact multiples of the cell box.
Removes the sub-cell remainder kitty would otherwise round up + clip. All
frames share the union-cropped size, so they snap to the same cell grid.
"""
if not frames:
return frames
from PIL import Image
w, h = frames[0].size
cols = max(1, round(w / _CELL_W))
rows = max(1, round(h / _CELL_H))
target = (cols * _CELL_W, rows * _CELL_H)
if (w, h) == target:
return frames
return [f.resize(target, Image.LANCZOS) for f in frames]
def _kitty_apc(ctrl: str, data: str) -> str:
"""Emit a kitty APC escape for *data*, chunked into ≤4096-byte ``m`` pieces."""
chunk = 4096
@@ -423,7 +361,7 @@ def _encode_iterm(frame, *, cell_cols: int | None = None, cell_rows: int | None
"""Encode one frame as an iTerm2 inline image (OSC 1337 File)."""
payload = base64.standard_b64encode(_png_bytes(frame)).decode("ascii")
size = len(payload)
args = ["inline=1", f"size={size}", "preserveAspectRatio=1"]
args = [f"inline=1", f"size={size}", "preserveAspectRatio=1"]
if cell_cols:
args.append(f"width={cell_cols}")
if cell_rows:
@@ -625,8 +563,6 @@ class PetRenderer:
frames = self._frames(state)
if not frames:
return None
frames = _crop_frames_to_alpha_union(frames)
frames = _snap_frames_to_cell_grid(frames)
cols, rows = self._cell_box(frames[0])
return {
"cols": cols,
+3 -83
View File
@@ -31,55 +31,7 @@ version can change at runtime (editable installs, hot-reload tooling), and
from __future__ import annotations
from contextvars import ContextVar
from typing import List, Optional
# ── Ambient conversation context ─────────────────────────────────────────────
#
# The main agent loop knows its ``session_id``; the dozens of auxiliary call
# sites (compression, title generation, vision, web_extract, session_search,
# MoA reference/aggregator slots, curator, kanban helpers, ...) do not — they
# funnel through ``agent.auxiliary_client.call_llm`` which has no session
# handle. Rather than threading a ``session_id`` parameter through every one
# of those call sites (and every future one), the agent loop publishes the
# active conversation id here and ``nous_portal_tags()`` picks it up as a
# fallback whenever no explicit ``session_id`` is passed.
#
# ContextVar (not a module global) so concurrent agents in one process —
# gateway sessions, delegate_task subagents, batch runners — never see each
# other's conversation id. Worker threads spawned via
# ``tools.thread_context.propagate_context_to_thread`` (background review,
# MoA fan-out, tool executor) inherit it through the copied Context; bare
# threads (title generator) capture it explicitly at spawn time.
_conversation_id: ContextVar[Optional[str]] = ContextVar(
"nous_portal_conversation_id", default=None
)
def set_conversation_context(conversation_id: Optional[str]):
"""Publish the active conversation id for ambient Portal tagging.
Called by the agent loop at turn entry with the conversation's stable
id (the session-lineage ROOT id, so the tag survives context-compression
session rotation). Pass ``None`` to clear. Returns the ContextVar token
so callers can ``reset_conversation_context(token)`` on turn exit.
"""
return _conversation_id.set(conversation_id or None)
def reset_conversation_context(token) -> None:
"""Restore the previous conversation context (pair with ``set_...``)."""
try:
_conversation_id.reset(token)
except Exception:
# Token from another Context (e.g. reset on a different thread) —
# fall back to clearing rather than raising in cleanup paths.
_conversation_id.set(None)
def get_conversation_context() -> Optional[str]:
"""Return the ambient conversation id, or ``None`` when unset."""
return _conversation_id.get()
from typing import List
def _hermes_version() -> str:
@@ -103,42 +55,10 @@ def hermes_client_tag() -> str:
return f"client=hermes-client-v{_hermes_version()}"
def conversation_tag(session_id: str) -> str:
"""Return the ``conversation=...`` tag for a Hermes session/conversation.
Format: ``conversation=<session_id>``. ``session_id`` is the canonical
Hermes conversation identifier (``AIAgent.session_id``) the same value
used for ``~/.hermes/sessions/`` storage, session logs, and lineage.
Unlike the product/client tags this is high-cardinality (one value per
conversation), so it is only appended when a session id is actually
available never as part of the always-on base tag set.
"""
return f"conversation={session_id}"
def nous_portal_tags(session_id: str | None = None) -> List[str]:
def nous_portal_tags() -> List[str]:
"""Return the canonical list of Nous Portal product tags.
Always returns a fresh list so callers can mutate it freely
(e.g. ``merged_extra.setdefault("tags", []).extend(nous_portal_tags())``).
When ``session_id`` is provided, a ``conversation=<session_id>`` tag is
appended so Portal usage can be attributed to a specific Hermes
conversation. When it is omitted, the ambient conversation context
(``set_conversation_context``, published by the agent loop at turn
entry) is used instead this is how auxiliary calls (compression,
titles, vision, MoA slots, ...) inherit the conversation tag without
per-call-site plumbing. Callers outside any conversation (e.g. the
auxiliary client's import-time base tags) get the canonical two-tag set.
"""
tags = ["product=hermes-agent", hermes_client_tag()]
# Ambient context first: the agent loop publishes the lineage ROOT id
# (stable across context-compression rotation and delegate subagent
# trees), which is the better conversation key than a per-segment
# session_id passed explicitly. The explicit argument remains as a
# fallback for callers running outside any agent turn.
effective = get_conversation_context() or session_id
if effective:
tags.append(conversation_tag(effective))
return tags
return ["product=hermes-agent", hermes_client_tag()]
+1 -61
View File
@@ -26,7 +26,7 @@ from __future__ import annotations
import os
import sys
import urllib.request
from typing import Any, Optional
from typing import Optional
from utils import base_url_hostname, normalize_proxy_url
@@ -142,65 +142,6 @@ def _get_proxy_for_base_url(base_url: Optional[str]) -> Optional[str]:
return proxy
def build_keepalive_http_client(
base_url: str = "",
*,
async_mode: bool = False,
verify: Any = True,
) -> Optional[Any]:
"""Build an httpx client for OpenAI SDK calls with env-only proxy policy.
Uses explicit ``HTTPS_PROXY`` / ``NO_PROXY`` env vars via
``_get_proxy_for_base_url``. Plain no-proxy mounts disable httpx's default
``trust_env`` proxy path, so macOS system proxy settings from
``urllib.request.getproxies()`` (which omit the ExceptionsList) are not
applied. Mirrors ``AIAgent._build_keepalive_http_client``.
Connection lifecycle is managed at the HTTP pool layer
(``keepalive_expiry=20.0`` reaps idle connections before reverse proxies'
typical 30-60 s timeouts) instead of the former custom
``socket_options`` transport, which broke streaming behind reverse
proxies (#54049, #12952) and stalled TLS handshakes by stripping
``TCP_NODELAY``.
``verify`` is forwarded to httpx so auxiliary-client calls (compression,
vision, web_extract, title generation, etc.) honor the same per-provider
``ssl_ca_cert`` / ``ssl_verify`` and ``HERMES_CA_BUNDLE`` settings the main
client uses. It is passed on the client AND on the plain no-proxy mounts
(a mounted transport owns the SSL context for its scheme).
"""
try:
import httpx
proxy = _get_proxy_for_base_url(base_url)
limits = httpx.Limits(
max_keepalive_connections=20,
max_connections=100,
keepalive_expiry=20.0,
)
# Generous read=None for SSE streaming endpoints.
timeout = httpx.Timeout(connect=15.0, read=None, write=15.0, pool=10.0)
transport_cls = httpx.AsyncHTTPTransport if async_mode else httpx.HTTPTransport
client_cls = httpx.AsyncClient if async_mode else httpx.Client
mounts = {}
if proxy is None:
mounts = {
"http://": transport_cls(verify=verify),
"https://": transport_cls(verify=verify),
}
return client_cls(
limits=limits,
timeout=timeout,
proxy=proxy,
mounts=mounts or None,
verify=verify,
)
except Exception:
return None
def _install_safe_stdio() -> None:
"""Wrap stdout/stderr so best-effort console output cannot crash the agent."""
for stream_name in ("stdout", "stderr"):
@@ -223,5 +164,4 @@ __all__ = [
"_install_safe_stdio",
"_get_proxy_from_env",
"_get_proxy_for_base_url",
"build_keepalive_http_client",
]
+55 -182
View File
@@ -7,7 +7,6 @@ assemble pieces, then combines them with memory and ephemeral prompts.
import json
import logging
import os
import sys
import threading
import contextvars
from collections import OrderedDict
@@ -18,8 +17,6 @@ from typing import Optional
from agent.runtime_cwd import resolve_agent_cwd
from agent.skill_utils import (
EXCLUDED_SKILL_DIRS,
SKILL_SUPPORT_DIRS,
extract_skill_conditions,
extract_skill_description,
get_all_skills_dirs,
@@ -28,7 +25,6 @@ from agent.skill_utils import (
parse_frontmatter,
skill_matches_environment,
skill_matches_platform,
skill_matches_platform_list,
)
from utils import atomic_json_write
@@ -92,15 +88,12 @@ def _find_hermes_md(cwd: Path) -> Optional[Path]:
stop_at = _find_git_root(cwd)
current = cwd.resolve()
# When there is no git root, only check cwd itself walking parents
# could pick up a .hermes.md planted in /tmp, /home, etc.
search_dirs = [current, *current.parents] if stop_at else [current]
for directory in search_dirs:
for directory in [current, *current.parents]:
for name in _HERMES_MD_NAMES:
candidate = directory / name
if candidate.is_file():
return candidate
# Stop walking at the git root (or filesystem root).
if stop_at and directory == stop_at:
break
return None
@@ -114,7 +107,6 @@ def _strip_yaml_frontmatter(content: str) -> str:
strip it so only the human-readable markdown body is injected into the
system prompt.
"""
content = content.lstrip("\ufeff") # tolerate UTF-8 BOM (Windows editors)
if content.startswith("---"):
end = content.find("\n---", 3)
if end != -1:
@@ -258,10 +250,6 @@ KANBAN_GUIDANCE = (
"- **Deliverables.** Files a human wants go in "
"`kanban_complete(artifacts=[<absolute paths>])` (top-level param; paths in "
"`metadata` are NOT uploaded). Files must exist at completion.\n"
"- **Attachments.** Attach real downloadable artifacts instead of pasting "
"links in comments: `kanban_attach` (base64) or `kanban_attach_url` "
"(server-side public http(s) fetch); 25 MB cap, `kanban_attachments` "
"lists them. Workers may only attach to their own task.\n"
"- **Created cards.** List ids in `kanban_complete(created_cards=[...])` "
"ONLY when captured from a successful `kanban_create` return — never invent "
"or paste ids; the kernel rejects the completion on any phantom id.\n"
@@ -629,12 +617,7 @@ DEVELOPER_ROLE_MODELS = ("gpt-5", "codex")
PLATFORM_HINTS = {
"whatsapp": (
"You are on a text messaging communication platform, WhatsApp. "
"Standard markdown (**bold**, *italic*, ~~strike~~, # headers, "
"`code`, ```code blocks```, [links](url)) is auto-converted to "
"WhatsApp's native syntax (*bold*, _italic_, ~strike~, monospace) — "
"feel free to write in markdown, and use bullet lists ('- item') "
"freely. Tables are NOT supported — prefer bullet lists or labeled "
"key:value pairs. "
"Please do not use markdown as it does not render. "
"You can send media files natively: to deliver a file to the user, "
"include MEDIA:/absolute/path/to/file in your response. The file "
"will be sent as a native WhatsApp attachment — images (.jpg, .png, "
@@ -664,7 +647,19 @@ PLATFORM_HINTS = {
"Standard Markdown is automatically converted to Telegram formatting. "
"Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, "
"`inline code`, ```code blocks```, [links](url), and ## headers. "
"Prefer bullet lists and labeled key:value pairs for structured data. "
"Telegram now supports rich Markdown, so lean into it: whenever it "
"makes the answer clearer or easier to scan, actively reach for real "
"Markdown tables (pipe `| col | col |` syntax), bullet and numbered "
"lists, task lists (`- [ ]` / `- [x]`), headings, nested blockquotes, "
"collapsible details, footnotes/references, math/formulas (`$...$`, "
"`$$...$$`), underline, subscript/superscript, marked (highlighted) "
"text, and anchors. Default to structured formatting over dense "
"paragraphs for any comparison, set of steps, key/value summary, or "
"tabular data. Prefer real Markdown tables and task lists over "
"hand-built bullet substitutes when presenting structured data; these "
"degrade gracefully (tables become readable bullet groups) when rich "
"rendering is unavailable, but advanced constructs like math and "
"collapsible details may render as plain source text in that case. "
"You can send media files natively: to deliver a file to the user, "
"include MEDIA:/absolute/path/to/file in your response. Images "
"(.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice "
@@ -687,11 +682,7 @@ PLATFORM_HINTS = {
),
"signal": (
"You are on a text messaging communication platform, Signal. "
"Standard markdown (**bold**, *italic*, ~~strike~~, # headers, "
"`code`, ```code blocks```) is auto-converted to Signal's native "
"rich formatting — feel free to write in markdown, and use bullet "
"lists ('- item') freely (they render as • bullets). Tables are NOT "
"supported — prefer bullet lists or labeled key:value pairs. "
"Please do not use markdown as it does not render. "
"You can send media files natively: to deliver a file to the user, "
"include MEDIA:/absolute/path/to/file in your response. Images "
"(.png, .jpg, .webp) appear as photos, audio as attachments, and other "
@@ -740,17 +731,6 @@ PLATFORM_HINTS = {
"or 'all'). Do not promise the user that a deliver='origin' or "
"default-deliver cron job will message them in this session."
),
"desktop": (
"You are chatting inside the Hermes desktop app — a graphical chat "
"surface, not a terminal. Use markdown freely: it renders with full "
"GitHub flavor (tables, code blocks with syntax highlighting, math "
"via $...$, task lists, blockquote callouts). "
"You can deliver files natively — include MEDIA:/absolute/path/to/file "
"in your response. Images (.png, .jpg, .webp) appear inline, audio and "
"video play inline, and other files arrive as download links. You can "
"also include image URLs in markdown format ![alt](url) and they "
"render inline as photos."
),
"sms": (
"You are communicating via SMS. Keep responses concise and use plain text "
"only — no markdown, no formatting. SMS messages are limited to ~1600 "
@@ -858,27 +838,6 @@ PLATFORM_HINTS = {
),
}
# Telegram rich-messages extension — only injected when the user has opted in
# to ``platforms.telegram.extra.rich_messages: true``. The base
# PLATFORM_HINTS["telegram"] covers MarkdownV2-compatible constructs; this
# extension adds the Bot API 10.1 rich-Markdown guidance (tables, task lists,
# collapsible details, math, etc.).
TELEGRAM_RICH_MESSAGES_HINT = (
"Telegram now supports rich Markdown, so lean into it: whenever it "
"makes the answer clearer or easier to scan, actively reach for real "
"Markdown tables (pipe `| col | col |` syntax), bullet and numbered "
"lists, task lists (`- [ ]` / `- [x]`), headings, nested blockquotes, "
"collapsible details, footnotes/references, math/formulas (`$...$`, "
"`$$...$$`), underline, subscript/superscript, marked (highlighted) "
"text, and anchors. Default to structured formatting over dense "
"paragraphs for any comparison, set of steps, key/value summary, or "
"tabular data. Prefer real Markdown tables and task lists over "
"hand-built bullet substitutes when presenting structured data; these "
"degrade gracefully (tables become readable bullet groups) when rich "
"rendering is unavailable, but advanced constructs like math and "
"collapsible details may render as plain source text in that case. "
)
# ---------------------------------------------------------------------------
# Environment hints — execution-environment awareness for the agent.
# Unlike PLATFORM_HINTS (which describe the messaging channel), these describe
@@ -958,7 +917,8 @@ def _probe_remote_backend(env_type: str) -> str | None:
try:
# Import locally: tools/ imports are heavy and only relevant when a
# non-local backend is actually configured.
from tools.terminal_tool import _create_environment, _get_env_config # type: ignore
from tools.terminal_tool import _get_env_config # type: ignore
from tools.environments import get_environment # type: ignore
except Exception as e:
logger.debug("Backend probe unavailable (import failed): %s", e)
_BACKEND_PROBE_CACHE[cache_key] = ""
@@ -966,59 +926,7 @@ def _probe_remote_backend(env_type: str) -> str | None:
try:
config = _get_env_config()
# Build the environment the same way tools/terminal_tool.py does for a
# live command: select the backend image, then assemble ssh/container
# config from the env-derived dict. (There is no `get_environment`
# factory — the real entry point is `_create_environment`.)
if env_type == "docker":
image = config.get("docker_image", "")
elif env_type == "singularity":
image = config.get("singularity_image", "")
elif env_type == "modal":
image = config.get("modal_image", "")
elif env_type == "daytona":
image = config.get("daytona_image", "")
else:
image = ""
ssh_config = None
if env_type == "ssh":
ssh_config = {
"host": config.get("ssh_host", ""),
"user": config.get("ssh_user", ""),
"port": config.get("ssh_port", 22),
"key": config.get("ssh_key", ""),
"persistent": config.get("ssh_persistent", False),
}
container_config = None
if env_type in {"docker", "singularity", "modal", "daytona"}:
container_config = {
"container_cpu": config.get("container_cpu", 1),
"container_memory": config.get("container_memory", 5120),
"container_disk": config.get("container_disk", 51200),
"container_persistent": config.get("container_persistent", True),
"modal_mode": config.get("modal_mode", "auto"),
"docker_volumes": config.get("docker_volumes", []),
"docker_mount_cwd_to_workspace": config.get("docker_mount_cwd_to_workspace", False),
"docker_forward_env": config.get("docker_forward_env", []),
"docker_env": config.get("docker_env", {}),
"docker_run_as_host_user": config.get("docker_run_as_host_user", False),
"docker_extra_args": config.get("docker_extra_args", []),
"docker_persist_across_processes": config.get("docker_persist_across_processes", True),
"docker_orphan_reaper": config.get("docker_orphan_reaper", True),
}
env = _create_environment(
env_type=env_type,
image=image,
cwd=config.get("cwd", ""),
timeout=config.get("timeout", 180),
ssh_config=ssh_config,
container_config=container_config,
task_id="prompt-backend-probe",
host_cwd=config.get("host_cwd"),
)
env = get_environment(config)
# Single-line POSIX probe — works on any Unixy backend. Wrapped in
# `2>/dev/null` so a missing binary doesn't pollute the output.
probe_cmd = (
@@ -1156,6 +1064,22 @@ def build_environment_hints() -> str:
f"`uname -a && whoami && pwd`."
)
# Hermes desktop GUI — any agent running under the desktop app should know
# it. HERMES_DESKTOP marks the backend powering the chat; HERMES_DESKTOP_TERMINAL
# marks a hermes launched in the embedded terminal pane. Both set by main.cjs.
_truthy = ("1", "true", "yes")
_in_desktop = (os.getenv("HERMES_DESKTOP") or "").strip().lower() in _truthy
_in_desktop_term = (os.getenv("HERMES_DESKTOP_TERMINAL") or "").strip().lower() in _truthy
if _in_desktop or _in_desktop_term:
_desktop_hint = "Runtime surface: you're running inside the Hermes desktop GUI app."
if _in_desktop_term:
_desktop_hint += (
" You're in its embedded terminal pane, beside the GUI chat — the user can "
"select your output (⌥-drag on macOS, Shift-drag elsewhere) and press "
"⌘/Ctrl+L to send it to the chat composer."
)
hints.append(_desktop_hint)
if is_wsl():
hints.append(WSL_ENVIRONMENT_HINT)
@@ -1289,26 +1213,13 @@ def clear_skills_system_prompt_cache(*, clear_snapshot: bool = False) -> None:
def _build_skills_manifest(skills_dir: Path) -> dict[str, list[int]]:
"""Build an mtime/size manifest of all SKILL.md and DESCRIPTION.md files."""
manifest: dict[str, list[int]] = {}
skills_dir_str = str(skills_dir)
base = os.path.join(skills_dir_str, "")
prefix_len = len(base)
for root, dirs, files in os.walk(skills_dir_str, followlinks=True):
has_skill_md = "SKILL.md" in files
dirs[:] = [
d
for d in dirs
if d not in EXCLUDED_SKILL_DIRS
and not (has_skill_md and d in SKILL_SUPPORT_DIRS)
]
for filename in ("SKILL.md", "DESCRIPTION.md"):
if filename not in files:
continue
path = os.path.join(root, filename)
for filename in ("SKILL.md", "DESCRIPTION.md"):
for path in iter_skill_index_files(skills_dir, filename):
try:
st = os.stat(path)
st = path.stat()
except OSError:
continue
manifest[path[prefix_len:]] = [st.st_mtime_ns, st.st_size]
manifest[str(path.relative_to(skills_dir))] = [st.st_mtime_ns, st.st_size]
return manifest
@@ -1440,22 +1351,6 @@ def _skill_should_show(
return True
def _current_session_platform_hint() -> str:
"""Return the active platform without importing the gateway package on CLI startup."""
platform = os.environ.get("HERMES_PLATFORM") or os.environ.get("HERMES_SESSION_PLATFORM")
if platform:
return platform
session_context = sys.modules.get("gateway.session_context")
get_session_env = getattr(session_context, "get_session_env", None) if session_context else None
if get_session_env is None:
return ""
try:
return get_session_env("HERMES_SESSION_PLATFORM") or ""
except Exception:
return ""
def build_skills_system_prompt(
available_tools: "set[str] | None" = None,
available_toolsets: "set[str] | None" = None,
@@ -1490,10 +1385,15 @@ def build_skills_system_prompt(
# ── Layer 1: in-process LRU cache ─────────────────────────────────
# Include the resolved platform so per-platform disabled-skill lists
# produce distinct cache entries (gateway serves multiple platforms).
_platform_hint = _current_session_platform_hint()
from gateway.session_context import get_session_env
_platform_hint = (
os.environ.get("HERMES_PLATFORM")
or get_session_env("HERMES_SESSION_PLATFORM")
or ""
)
disabled = get_disabled_skill_names(_platform_hint or None)
cache_key = (
str(skills_dir),
str(skills_dir.resolve()),
tuple(str(d) for d in external_dirs),
tuple(sorted(str(t) for t in (available_tools or set()))),
tuple(sorted(str(ts) for ts in (available_toolsets or set()))),
@@ -1522,7 +1422,7 @@ def build_skills_system_prompt(
category = entry.get("category") or "general"
frontmatter_name = entry.get("frontmatter_name") or skill_name
platforms = entry.get("platforms") or []
if not skill_matches_platform_list(platforms):
if not skill_matches_platform({"platforms": platforms}):
continue
if frontmatter_name in disabled or skill_name in disabled:
continue
@@ -1962,7 +1862,6 @@ def build_context_files_prompt(
cwd: Optional[str] = None,
skip_soul: bool = False,
context_length: Optional[int] = None,
allow_install_tree_fallback: bool = False,
) -> str:
"""Discover and load context files for the system prompt.
@@ -1984,43 +1883,17 @@ def build_context_files_prompt(
"""
if cwd is None:
cwd = os.getcwd()
cwd_is_fallback = True
else:
cwd_is_fallback = False
cwd_path = Path(cwd).resolve()
sections = []
# Never let a FALLBACK-picked directory inside the Hermes install/source
# tree gain system-prompt authority. A backend that self-spawns into that
# tree (the desktop app default) would otherwise load this repo's
# contributor AGENTS.md as authoritative project context (#64590). An
# explicitly configured cwd is honored verbatim — the Hermes tree is a
# legitimate workspace when the user deliberately points a session at it —
# and CLI-style surfaces pass allow_install_tree_fallback=True because
# their launch dir IS the user's shell cwd (developing Hermes in-tree).
from agent.runtime_cwd import _is_install_tree
if (
cwd_is_fallback
and not allow_install_tree_fallback
and _is_install_tree(cwd_path)
):
logger.warning(
"skipping project-context discovery: working-directory resolution "
"fell back to the Hermes install tree (%s) — set terminal.cwd to "
"your project directory",
cwd_path,
)
project_context = ""
else:
# Priority-based project context: first match wins
project_context = (
_load_hermes_md(cwd_path, context_length)
or _load_agents_md(cwd_path, context_length)
or _load_claude_md(cwd_path, context_length)
or _load_cursorrules(cwd_path, context_length)
)
# Priority-based project context: first match wins
project_context = (
_load_hermes_md(cwd_path, context_length)
or _load_agents_md(cwd_path, context_length)
or _load_claude_md(cwd_path, context_length)
or _load_cursorrules(cwd_path, context_length)
)
if project_context:
sections.append(project_context)
+4 -44
View File
@@ -17,23 +17,12 @@ def _apply_cache_marker(msg: dict, cache_marker: dict, native_anthropic: bool =
role = msg.get("role", "")
content = msg.get("content")
if role == "tool" and native_anthropic:
# Native Anthropic layout: top-level marker; the adapter moves it
# inside the tool_result block.
msg["cache_control"] = cache_marker
if role == "tool":
if native_anthropic:
msg["cache_control"] = cache_marker
return
if content is None or content == "":
if role == "tool" and not native_anthropic:
# OpenRouter rejects top-level cache_control on role:tool (silent
# hang) and an empty message has no content part to carry the
# marker — skip. Non-empty tool content falls through below and
# gets the marker on a content part, which OpenRouter honors.
return
if role == "assistant" and not native_anthropic:
# Empty assistant turns are pure tool_calls. A top-level marker
# here is ignored on the envelope layout, so skip.
return
msg["cache_control"] = cache_marker
return
@@ -49,30 +38,6 @@ def _apply_cache_marker(msg: dict, cache_marker: dict, native_anthropic: bool =
last["cache_control"] = cache_marker
def _can_carry_marker(msg: dict, native_anthropic: bool) -> bool:
"""True if a marker on this message is actually honored by the provider.
On the native Anthropic layout every message works (top-level markers are
relocated by the adapter). On the envelope layout (OpenRouter et al.) only
markers inside content parts are honored: empty-content messages (e.g.
assistant turns that are pure tool_calls) and empty tool messages would
receive a top-level marker the provider ignores wasting one of the four
breakpoints. Skip those so the breakpoints land on messages that count.
"""
if native_anthropic:
return True
content = msg.get("content")
if content is None or content == "":
return False
if isinstance(content, list):
# _apply_cache_marker only marks the LAST content part, so the carrier
# predicate must agree: a list whose last element isn't a dict cannot
# actually receive a marker and would waste a breakpoint. Mirror the
# `content` truthiness + last-element-dict check in _apply_cache_marker.
return bool(content) and isinstance(content[-1], dict)
return isinstance(content, str)
def _build_marker(ttl: str) -> Dict[str, str]:
"""Build a cache_control marker dict for the given TTL ('5m' or '1h')."""
marker: Dict[str, str] = {"type": "ephemeral"}
@@ -107,12 +72,7 @@ def apply_anthropic_cache_control(
breakpoints_used += 1
remaining = 4 - breakpoints_used
non_sys = [
i
for i in range(len(messages))
if messages[i].get("role") != "system"
and _can_carry_marker(messages[i], native_anthropic=native_anthropic)
]
non_sys = [i for i in range(len(messages)) if messages[i].get("role") != "system"]
for idx in non_sys[-remaining:]:
_apply_cache_marker(messages[idx], marker, native_anthropic=native_anthropic)
-56
View File
@@ -1,56 +0,0 @@
"""Token-free detection of user *reactions* to the agent.
Currently the only reaction is ``vibe`` an expression of affection or
gratitude toward the agent (``ily``, ``<3``, ``love you``, ``good bot``, a heart
emoji, ). Detection is a curated regex/lexicon: **no model call, no tokens**.
This is the single source of truth shared by every surface the CLI pet, the
TUI heart, and the desktop floating hearts all react off the same signal,
delivered via ``AIAgent.reaction_callback`` (wired per interactive host).
Generalized on purpose: :func:`detect_reaction` returns a reaction *kind*
string, so new kinds (other emoji reactions, etc.) can be added here without
touching any caller. We match affection specifically not general positive
sentiment so "this is great" does NOT fire, but "good bot" / "❤️" do.
"""
from __future__ import annotations
import re
#: The affection/gratitude reaction — the only kind today.
VIBE = "vibe"
# Curated affection lexicon. Kept deliberately narrow: gratitude + love aimed at
# the agent, heart emoji, and ``<3`` (but not the broken heart ``</3``).
_VIBE_RE = re.compile(
"|".join(
(
r"\bgood\s*bot\b",
r"\bi\s*(?:love|luv)\s*(?:you|u|ya)\b",
r"\b(?:love|luv)\s*(?:you|u|ya)\b",
r"\bily(?:sm)?\b",
r"\bthank\s*(?:you|u)\b",
r"\b(?:thanks|thx|tysm|ty)\b",
r"<3+", # <3, <33 … but not </3
# Hearts + affection faces (❤ ♥ 🥰 😍 😘 💕 💖 💗 💞 💛 💜 💚 💙 💓 💘 💝 🩷).
r"[\u2764\u2665"
r"\U0001F970\U0001F60D\U0001F618"
r"\U0001F495\U0001F496\U0001F497\U0001F49E"
r"\U0001F49B\U0001F49C\U0001F49A\U0001F499"
r"\U0001F493\U0001F498\U0001F49D\U0001FA77]",
)
),
re.IGNORECASE,
)
def detect_reaction(text: str | None) -> str | None:
"""Return the reaction kind for *text* (currently :data:`VIBE`), or ``None``.
Pure, token-free, and safe to call on every user turn.
"""
if not text:
return None
return VIBE if _VIBE_RE.search(text) else None
+1 -9
View File
@@ -66,13 +66,9 @@ _REASONING_STALE_TIMEOUT_FLOORS: tuple[tuple[str, int], ...] = (
("nemotron-3-ultra", 600),
("nemotron-3-super", 600),
("nemotron-3-nano", 300),
# DeepSeek — R1 and V4 reasoning models on hosted NIM / DeepSeek direct.
# V4 series emits reasoning_content in a separate delta field before
# final content, requiring the same extended stale timeout floor.
# DeepSeek — R1 reasoning model on hosted NIM / DeepSeek direct.
("deepseek-r1", 600),
("deepseek-reasoner", 600),
("deepseek-v4-flash", 600),
("deepseek-v4-pro", 600),
# Qwen — QwQ reasoning + Qwen3 thinking variants. QwQ-32B
# preview is the stable slug; ``qwen3`` covers the family of
# thinking-mode Qwen3 models (qwen3-235b-a22b, qwen3-32b, etc.)
@@ -194,10 +190,6 @@ def get_reasoning_stale_timeout_floor(model: object) -> Optional[float]:
300.0
>>> get_reasoning_stale_timeout_floor("deepseek/deepseek-r1")
600.0
>>> get_reasoning_stale_timeout_floor("deepseek/deepseek-v4-flash")
600.0
>>> get_reasoning_stale_timeout_floor("deepseek/deepseek-v4-pro")
600.0
>>> get_reasoning_stale_timeout_floor("qwen/qwen3-235b-a22b-thinking")
180.0
>>> get_reasoning_stale_timeout_floor("x-ai/grok-4-fast-reasoning")
+10 -300
View File
@@ -10,7 +10,6 @@ the first 6 and last 4 characters for debuggability.
import logging
import os
import re
import shlex
logger = logging.getLogger(__name__)
@@ -76,8 +75,7 @@ _PREFIX_PATTERNS = [
r"ghu_[A-Za-z0-9]{10,}", # GitHub user-to-server token
r"ghs_[A-Za-z0-9]{10,}", # GitHub server-to-server token
r"ghr_[A-Za-z0-9]{10,}", # GitHub refresh token
r"xapp-\d+-[A-Za-z0-9-]{10,}", # Slack app-Level token
r"xox[baprs]-[A-Za-z0-9-]{10,}", # Slack bot/app/user tokens
r"xox[baprs]-[A-Za-z0-9-]{10,}", # Slack tokens
r"AIza[A-Za-z0-9_-]{30,}", # Google API keys
r"pplx-[A-Za-z0-9]{10,}", # Perplexity
r"fal_[A-Za-z0-9_-]{10,}", # Fal.ai
@@ -107,73 +105,14 @@ _PREFIX_PATTERNS = [
r"brv_[A-Za-z0-9]{10,}", # ByteRover API key
r"xai-[A-Za-z0-9]{30,}", # xAI (Grok) API key
r"ntn_[A-Za-z0-9]{10,}", # Notion internal integration token
r"fw-[A-Za-z0-9]{30,}", # Fireworks AI API key
r"fw_[A-Za-z0-9]{30,}", # Fireworks AI API key
r"fpk_[A-Za-z0-9]{30,}", # Fireworks AI project key
]
# ENV assignment patterns: KEY=value where KEY contains a secret-like name.
# Uppercase keys tolerate spaces around "=" (e.g. ``FOO_SECRET = bar``) because
# an all-caps key is almost never prose/code.
# ENV assignment patterns: KEY=value where KEY contains a secret-like name
_SECRET_ENV_NAMES = r"(?:API_?KEY|TOKEN|SECRET|PASSWORD|PASSWD|CREDENTIAL|AUTH)"
_ENV_ASSIGN_RE = re.compile(
rf"([A-Z0-9_]{{0,50}}{_SECRET_ENV_NAMES}[A-Z0-9_]{{0,50}})\s*=\s*(['\"]?)(\S+)\2",
)
# Lowercase / dotted / hyphenated config keys from config files
# (application.properties, .env, YAML-ish dumps): ``spring.datasource.password=secret``,
# ``app.api.key=xyz``, ``password=secret``. The uppercase _ENV_ASSIGN_RE above
# never matched these, so config-file passwords leaked verbatim (issue #16413).
#
# These run only in a config-file context, NOT in prose, code, or URLs — three
# carve-outs preserved from the original design (#4367 + the documented
# web-URL passthrough below):
# 1. The value is bounded by ``[^\s&]`` (stops at whitespace AND ``&``) so
# form-urlencoded bodies are handled pair-by-pair (by _redact_form_body),
# not greedily swallowed.
# 2. _CFG_DOTTED_RE only matches when the key is NAMESPACED (contains a dot),
# which is unambiguously a config key — never a prose word.
# 3. _CFG_ANCHORED_RE matches a bare secret-word key only at line start
# (optionally after ``export``), so conversational ``I have password=foo``
# mid-sentence is left alone.
# The colon-form URL guard (skip when ``://`` present) lives at the call site.
_SECRET_CFG_NAMES = r"(?:api[ _.\-]?key|token|secret|passwd|password|credential|auth)"
_CFG_VALUE = r"(['\"]?)([^\s&]+?)\2(?=[\s&]|$)"
# Programmatic env lookups (``os.getenv(...)``, ``os.environ[...]``,
# ``os.environ.get(...)``, ``process.env.X``, ``$ENV{X}``) reference variable
# *names*, not secret values. When one appears as the VALUE of a KEY=... match
# it's a code snippet, not a leaked secret — skip redaction (issue #2852).
_ENV_LOOKUP_VALUE_RE = re.compile(
r"^(?:os\.(?:getenv|environ)|process\.env|\$ENV\{)"
)
# Namespaced (dotted) key: the secret word may sit anywhere in a dotted path.
_CFG_DOTTED_RE = re.compile(
rf"((?:[A-Za-z0-9_\-]+\.)+[A-Za-z0-9_.\-]*{_SECRET_CFG_NAMES}[A-Za-z0-9_.\-]*"
rf"|[A-Za-z0-9_.\-]*{_SECRET_CFG_NAMES}[A-Za-z0-9_.\-]*\.[A-Za-z0-9_.\-]+)"
rf"={_CFG_VALUE}",
re.IGNORECASE,
)
# Line-anchored bare key: ``password=…`` / ``export api_key=…`` at start of line.
_CFG_ANCHORED_RE = re.compile(
rf"(^[ \t]*(?:export[ \t]+)?[A-Za-z0-9_\-]*{_SECRET_CFG_NAMES}[A-Za-z0-9_\-]*)={_CFG_VALUE}",
re.IGNORECASE | re.MULTILINE,
)
# Unquoted YAML / colon config (e.g. ``password: secret``,
# ``spring.datasource.password: hunter2``). The secret keyword must be part of
# the KEY (anchored to the start of the line/indent), and the value is a single
# whitespace-free token — so prose like ``note: secret meeting`` (keyword in the
# value) and ``error: token expired`` are left alone. Bare ``auth`` is excluded
# from the key set so ``Authorization:`` / ``author:`` don't match (the former
# is masked by _AUTH_HEADER_RE); ``auth_token``/``auth-token`` still match via
# the ``token`` keyword. Quoted values defer to _JSON_FIELD_RE via the lookahead.
_YAML_CFG_NAMES = r"(?:api[ _.\-]?key|token|secret|passwd|password|credential)"
_YAML_ASSIGN_RE = re.compile(
rf"(^[ \t]*[A-Za-z0-9_.\-]*{_YAML_CFG_NAMES}[A-Za-z0-9_.\-]*)(:[ \t]*)(?!['\"])([^\s&]+)",
re.IGNORECASE | re.MULTILINE,
)
# JSON field patterns: "apiKey": "value", "token": "value", etc.
_JSON_KEY_NAMES = r"(?:api_?[Kk]ey|token|secret|password|access_token|refresh_token|auth_token|bearer|secret_value|raw_secret|secret_input|key_material)"
_JSON_FIELD_RE = re.compile(
@@ -186,15 +125,8 @@ _JSON_FIELD_RE = re.compile(
# while the header name and scheme word are preserved for debuggability. The
# previous rule only matched ``Bearer``, so ``Basic <base64 user:pass>`` and
# ``token <pat>`` leaked verbatim into logs/transcripts.
#
# The credential class excludes quote characters (``"`` / ``'``): a token sitting
# flush against a closing quote (``"Authorization: Bearer sk-..."``) must not pull
# that quote into the match, or masking turns value corruption into *syntax*
# corruption — the closing quote vanishes and the command/string no longer parses
# (unterminated quote → shell EOF / Python SyntaxError). Real credentials never
# contain ``"`` or ``'``, so excluding them is safe. See #43083.
_AUTH_HEADER_RE = re.compile(
r"((?:Proxy-)?Authorization:\s*)([A-Za-z][\w.+-]*\s+)?([^\s\"']+)",
r"((?:Proxy-)?Authorization:\s*)([A-Za-z][\w.+-]*\s+)?(\S+)",
re.IGNORECASE,
)
@@ -222,37 +154,9 @@ _PRIVATE_KEY_RE = re.compile(
)
# Database connection strings: protocol://user:PASSWORD@host
# Catches postgres, mysql, mongodb, redis, amqp URLs and redacts the password.
# The userinfo and password groups forbid whitespace ([^:\s]+ / [^@\s]+) so the
# match can never span a line break. A real DSN password never contains
# whitespace; without this bound the greedy [^@]+ would scan past the end of a
# code line to the next stray "@" (e.g. a Python decorator), swallowing
# intervening lines and corrupting tool OUTPUT for any source containing a
# postgresql:// f-string template. See issue #33801.
# Catches postgres, mysql, mongodb, redis, amqp URLs and redacts the password
_DB_CONNSTR_RE = re.compile(
r"((?:postgres(?:ql)?|mysql|mongodb(?:\+srv)?|redis|amqp)://[^:\s]+:)([^@\s]+)(@)",
re.IGNORECASE,
)
# Bare-token credential in a web/transport URL: ``scheme://TOKEN@host``.
# This is the ``git remote set-url origin https://PASSWORD@github.com/...``
# shape from issue #6396 — a single opaque credential in the userinfo position
# with NO ``user:pass`` colon. It is unambiguously a secret: legitimate
# round-trip URLs (OAuth callbacks, magic links, pre-signed shares — see the
# "Web-URL redaction is intentionally OFF" note in redact_sensitive_text) carry
# their tokens in the QUERY STRING, never in bare userinfo. The colon form
# ``user:pass@`` is deliberately left to pass through (commit "pass web URLs
# through unchanged", #34029) and is NOT matched here — the token class forbids
# ``:``. DB schemes are handled by _DB_CONNSTR_RE above and excluded here.
#
# Guards against false positives:
# - 8+ char floor skips short usernames (git, admin, root, deploy, ubuntu).
# - The token class ``[^\s:@/]`` cannot cross ``/``, so an ``@`` sitting in a
# path or query (e.g. ``?q=user@example.com``) is never treated as userinfo.
_URL_BARE_TOKEN_RE = re.compile(
r"((?:https?|wss?|git|ssh|ftp|ftps|sftp)://)" # scheme
r"([^\s:@/]{8,})" # bare token (no colon/slash/@), 8+ chars
r"(@[^\s]+)", # @host...
r"((?:postgres(?:ql)?|mysql|mongodb(?:\+srv)?|redis|amqp)://[^:]+:)([^@]+)(@)",
re.IGNORECASE,
)
@@ -411,31 +315,6 @@ def _redact_url_userinfo(text: str) -> str:
)
def redact_cdp_url(value: object) -> str:
"""Mask secrets in a CDP/browser endpoint URL before it is logged.
The global ``redact_sensitive_text`` deliberately passes web-URL query
params and ``user:pass@`` userinfo through unmasked (OAuth callbacks,
magic-link / pre-signed URLs the agent is meant to follow -- see the
web-URL note above). CDP discovery endpoints are NOT such a workflow:
their query-string tokens and userinfo passwords are pure credentials
that must never reach the logs. So for CDP URLs we opt INTO the two URL
redactors that the global pass leaves off.
This is the single source of truth for redacting a CDP URL that is passed
*directly* to a log or error message. Callers that instead need to redact an
exception whose text embeds the URL (e.g. a ``websockets`` connect error)
should route that through their own error-text helper, which delegates here
-- see ``tools.browser_supervisor._redact_cdp_error_text``.
"""
text = redact_sensitive_text("" if value is None else str(value))
if not text:
return text
text = _redact_url_query_params(text)
text = _redact_url_userinfo(text)
return text
def _redact_http_request_target_query_params(text: str) -> str:
"""Redact sensitive query params in HTTP access-log request targets."""
def _sub(m: re.Match) -> str:
@@ -461,40 +340,7 @@ def _redact_form_body(text: str) -> str:
return _redact_query_string(text.strip())
def _mask_token_nonreusable(token: str) -> str:
"""Redact a prefix-matched credential to a NON-REUSABLE sentinel.
Unlike :func:`_mask_token` (which keeps head/tail chars fine for logs
that are never fed back into a config), this emits a marker that:
* cannot be mistaken for a usable-but-truncated key, so an agent that
reads it from a config file and writes it back does NOT corrupt the
stored credential into a dead 13-char string (issue #35519); and
* still does not leak the secret material (no head/tail chars).
The vendor prefix label is preserved for debuggability so the agent can
still tell *which* credential is present (e.g. a GitHub PAT vs an OpenAI
key) without seeing any of its bytes.
"""
if not token:
return "«redacted-secret»"
# Preserve only the recognizable vendor prefix label (e.g. "ghp_", "sk-"),
# never any of the random secret body.
label = ""
for sub in _PREFIX_SUBSTRINGS:
if token.startswith(sub):
label = sub
break
return f"«redacted:{label}…»" if label else "«redacted-secret»"
def redact_sensitive_text(
text: str,
*,
force: bool = False,
code_file: bool = False,
file_read: bool = False,
) -> str:
def redact_sensitive_text(text: str, *, force: bool = False, code_file: bool = False) -> str:
"""Apply all redaction patterns to a block of text.
Safe to call on any string -- non-matching text passes through unchanged.
@@ -507,17 +353,6 @@ def redact_sensitive_text(
constants, "apiKey": "test" fixtures). Prefix patterns, auth headers,
private keys, DB connstrings, JWTs, and URL secrets are still redacted.
Set file_read=True for file *content* returned to the agent (read_file /
search_files / cat). Secrets are STILL redacted they are never exposed
but prefix-matched credentials are replaced with a non-reusable sentinel
(``«redacted:ghp_»``) instead of a head/tail-preserving mask
(``ghp_S1...Pn2T``). The old mask looked like a real-but-truncated key, so
an agent reading it from config.yaml and writing it back silently corrupted
the stored credential into a dead 13-char value 401 (issue #35519). The
sentinel is syntactically invalid as a token, so it can't be mistaken for a
usable key or written back as one. Implies code_file=True (config/data
files shouldn't trigger the source-code ENV/JSON false-positive paths).
Performance: each regex pattern is gated behind a cheap substring
pre-check (e.g. ``"=" in text`` for ENV assignments, ``"://" in text``
for URLs, ``"eyJ" in text`` for JWTs). On a typical hermes log line
@@ -536,62 +371,25 @@ def redact_sensitive_text(
if not (force or _REDACT_ENABLED):
return text
# file_read content shouldn't hit the source-code ENV/JSON false-positive
# paths either (it's config/data, not log lines).
if file_read:
code_file = True
# Known prefixes (sk-, ghp_, etc.) — gate on substring presence
if _has_known_prefix_substring(text):
_prefix_sub = _mask_token_nonreusable if file_read else _mask_token
text = _PREFIX_RE.sub(lambda m: _prefix_sub(m.group(1)), text)
text = _PREFIX_RE.sub(lambda m: _mask_token(m.group(1)), text)
# ENV assignments: OPENAI_API_KEY=*** (skip for code files — false positives)
if not code_file:
if "=" in text:
def _redact_env(m):
name, quote, value = m.group(1), m.group(2), m.group(3)
# Programmatic env lookups reference variable *names*, not
# secret values — masking them corrupts code snippets in
# prose/log contexts (issue #2852): ``KEY=os.getenv('X')``.
if _ENV_LOOKUP_VALUE_RE.match(value):
return m.group(0)
return f"{name}={quote}{_mask_token(value)}{quote}"
text = _ENV_ASSIGN_RE.sub(_redact_env, text)
# Lowercase/dotted config keys (issue #16413). Skip URLs entirely —
# web-URL query params are intentionally passed through (see note
# near the bottom of this function); _DB_CONNSTR_RE still guards
# connection-string passwords.
if "://" not in text:
text = _CFG_DOTTED_RE.sub(_redact_env, text)
text = _CFG_ANCHORED_RE.sub(_redact_env, text)
# JSON fields: "apiKey": "***" (skip for code files — false positives)
if ":" in text and '"' in text:
def _redact_json(m):
key, value = m.group(1), m.group(2)
# Same programmatic-env-lookup exception as _redact_env above
# (issue #2852): "apiKey": "os.getenv('X')" is a code snippet,
# not a leaked secret value.
if _ENV_LOOKUP_VALUE_RE.match(value):
return m.group(0)
return f'{key}: "{_mask_token(value)}"'
text = _JSON_FIELD_RE.sub(_redact_json, text)
# Unquoted YAML / colon config: password: *** (after JSON so quoted
# values are handled there; the lookahead in _YAML_ASSIGN_RE skips
# quotes). Skip URLs — web-URL query params pass through by design.
if ":" in text and "://" not in text:
def _redact_yaml(m):
key, sep, value = m.group(1), m.group(2), m.group(3)
# Same programmatic-env-lookup exception as _redact_env above
# (issue #2852): api_key: os.getenv('X') is a code snippet,
# not a leaked secret value.
if _ENV_LOOKUP_VALUE_RE.match(value):
return m.group(0)
return f"{key}{sep}{_mask_token(value)}"
text = _YAML_ASSIGN_RE.sub(_redact_yaml, text)
# Authorization headers — _AUTH_HEADER_RE matches any scheme after
# "[Proxy-]Authorization:" case-insensitively, so "uthorization" is the
# cheapest substring gate that covers every casing without a casefold().
@@ -621,32 +419,9 @@ def redact_sensitive_text(
if "BEGIN" in text and "-----" in text:
text = _PRIVATE_KEY_RE.sub("[REDACTED PRIVATE KEY]", text)
# Database connection string passwords. With code_file=True, a password
# group that is a pure ``{...}`` brace expression is an f-string template
# reference (e.g. f"postgresql://{user}:{pass}@{host}"), not a literal
# credential — preserve it. Literal passwords are still redacted. The regex
# forbids whitespace in the password group, so a single-line template's
# group(2) is exactly the brace expression. See issue #33801.
# Database connection string passwords
if "://" in text:
if code_file:
def _redact_db(m):
pw = m.group(2)
if pw.startswith("{") and pw.endswith("}"):
return m.group(0)
return f"{m.group(1)}***{m.group(3)}"
text = _DB_CONNSTR_RE.sub(_redact_db, text)
else:
text = _DB_CONNSTR_RE.sub(lambda m: f"{m.group(1)}***{m.group(3)}", text)
# Bare-token userinfo in web/transport URLs: ``scheme://TOKEN@host``.
# The git-remote-with-embedded-password shape from #6396. Only the
# colon-less bare-token form is redacted — ``user:pass@`` and
# query-string tokens are left to pass through (see the web-URL note
# below). See _URL_BARE_TOKEN_RE for the false-positive guards.
text = _URL_BARE_TOKEN_RE.sub(
lambda m: f"{m.group(1)}{_mask_token(m.group(2))}{m.group(3)}",
text,
)
text = _DB_CONNSTR_RE.sub(lambda m: f"{m.group(1)}***{m.group(3)}", text)
# JWT tokens (eyJ... — base64-encoded JSON headers)
if "eyJ" in text:
@@ -659,12 +434,7 @@ def redact_sensitive_text(
# blanket-redacting param values by name breaks those skills mid-flow.
# Known credential shapes (sk-, ghp_, JWTs, etc.) inside URLs are still
# caught by _PREFIX_RE and _JWT_RE above. DB connection-string passwords
# are still caught by _DB_CONNSTR_RE. The ONE userinfo case still redacted
# is the colon-less bare-token form ``scheme://TOKEN@host`` (#6396, handled
# by _URL_BARE_TOKEN_RE in the ``://`` block above): a bare credential in
# userinfo is never a round-trip workflow token (those live in the query
# string), so masking it can't break a skill. The ``user:pass@`` form is
# left to pass through per #34029.
# are still caught by _DB_CONNSTR_RE.
# Form-urlencoded bodies (only triggers on clean k=v&k=v inputs).
if "&" in text and "=" in text:
@@ -682,66 +452,6 @@ def redact_sensitive_text(
return text
# Commands whose stdout is an environment-variable dump (KEY=value lines),
# NOT source code. For these, terminal-output redaction must run the
# ENV-assignment pass (code_file=False) so opaque tokens with no recognized
# vendor prefix (e.g. ``MY_SERVICE_TOKEN=abc123randomstring``) are still
# masked. For all other commands, code_file=True is used to avoid mangling
# legitimate source/config dumps (``MAX_TOKENS=100``, ``"apiKey": "x"``
# fixtures, ``postgresql://{user}`` f-string templates). See issue #43025.
_ENV_DUMP_COMMANDS = frozenset({"env", "printenv", "set", "export", "declare"})
def is_env_dump_command(command: str | None) -> bool:
"""Return True if ``command`` dumps environment variables to stdout.
Detects ``env`` / ``printenv`` / ``set`` / ``export`` / ``declare`` as the
first token of any segment in a pipeline or sequence (``;`` / ``&&`` /
``||`` / ``|``). Conservative: a parse failure or anything unrecognized
returns False (callers then fall back to the safer code_file=True path,
which still masks prefix-shaped keys).
"""
if not command or not isinstance(command, str):
return False
# Split on shell separators, then inspect the first token of each segment.
segments = re.split(r"[|;&]+", command)
for seg in segments:
seg = seg.strip()
if not seg:
continue
try:
tokens = shlex.split(seg)
except ValueError:
tokens = seg.split()
if tokens and tokens[0] in _ENV_DUMP_COMMANDS:
return True
return False
def redact_terminal_output(
output: str, command: str | None = None, *, force: bool = False
) -> str:
"""Redact secrets from terminal/process stdout.
Single redaction policy for ALL terminal-output surfaces foreground
``terminal`` results AND background ``process(action=poll/log/wait)``
output so they can't diverge. Picks ``code_file`` based on whether
``command`` is an environment dump:
- env-dump command (``env``/``printenv``/``set``/``export``/``declare``)
``code_file=False`` so the ENV-assignment pass masks opaque tokens.
- anything else (or unknown command) ``code_file=True`` to avoid
false positives on source/config dumps.
``force=True`` bypasses the global ``security.redact_secrets`` preference
for safety boundaries that must never emit raw credentials.
"""
if not output:
return output
code_file = not is_env_dump_command(command or "")
return redact_sensitive_text(output, force=force, code_file=code_file)
# Substrings used to gate ``_PREFIX_RE`` execution. If none of these appear in
# the input string, the prefix regex cannot match anything, so we skip it.
# False positives are fine (they just run the regex, which then matches
-317
View File
@@ -1,317 +0,0 @@
"""Replay-history sanitization shared across resume code paths.
When a session's last turn dies mid-tool-loop — the process is killed by a
restart/shutdown command, a stale-timeout fires, or an interrupt lands before
the tool result is written the persisted transcript can end with a dangling
``assistant(tool_calls)`` (no matching ``tool`` answer) or an interrupted
``assistanttool`` block. On resume the model sees that broken tail and
re-issues the unanswered call, producing an endless "thinking"/reboot loop
(#49201, #29086).
These pure helpers strip those tails before the history is replayed to the
model. They were originally local to ``gateway/run.py`` (which fixed the
messaging-gateway path) and are extracted here so every resume surface the
messaging gateway AND the TUI/WebUI gateway shares the same cleanup instead
of the WebUI path silently skipping it.
"""
from __future__ import annotations
import logging
from typing import Any, Dict, List
from agent.tool_dispatch_helpers import make_tool_result_message
from agent.tool_result_classification import tool_may_have_side_effect
logger = logging.getLogger(__name__)
def is_interrupted_tool_result(content: Any) -> bool:
"""Return True if a tool result indicates the tool was interrupted."""
if not isinstance(content, str):
return False
lowered = content.lower()
if "[command interrupted]" in lowered:
return True
if "exit_code" in lowered and ("130" in lowered or "-1" in lowered):
return "interrupt" in lowered
return False
def strip_interrupted_tool_tails(
agent_history: List[Dict[str, Any]],
) -> List[Dict[str, Any]]:
"""Strip interrupted assistant→tool sequences from replay history.
Older interrupted gateway turns can be followed by a queued real user
message, so the interrupted assistant/tool block is not necessarily the
final tail by the time we rebuild replay history. Remove any contiguous
assistant(tool_calls) + tool-result block that contains an interrupted tool
result, while preserving successful tool-call sequences intact.
"""
if not agent_history:
return agent_history
cleaned: List[Dict[str, Any]] = []
i = 0
n = len(agent_history)
while i < n:
msg = agent_history[i]
if msg.get("role") == "assistant" and "tool_calls" in msg:
j = i + 1
tool_results: List[Dict[str, Any]] = []
while j < n and agent_history[j].get("role") == "tool":
tool_results.append(agent_history[j])
j += 1
if tool_results and any(
is_interrupted_tool_result(m.get("content", ""))
for m in tool_results
):
calls = msg.get("tool_calls") or []
if any(
tool_may_have_side_effect(
str((call.get("function") or {}).get("name") or "")
)
for call in calls
):
call_names = {
str(call.get("id") or call.get("call_id") or ""): str(
(call.get("function") or {}).get("name") or ""
)
for call in calls
}
cleaned.append(msg)
for tool_result in tool_results:
if not is_interrupted_tool_result(tool_result.get("content", "")):
cleaned.append(tool_result)
continue
recovered = dict(tool_result)
name = call_names.get(str(tool_result.get("tool_call_id") or ""), "")
recovered["effect_disposition"] = (
"unknown" if tool_may_have_side_effect(name) else "none"
)
recovered["content"] = (
"[Orphan recovery: interrupted side-effecting tool may have "
"executed; its effect is UNKNOWN. Inspect state before retrying.]"
if recovered["effect_disposition"] == "unknown"
else "[Orphan recovery: interrupted read-only tool did not complete.]"
)
cleaned.append(recovered)
i = j
continue
logger.debug(
"Stripping interrupted read-only assistant→tool replay block "
"(indices %d%d, tool_results=%d)",
i, j - 1, len(tool_results),
)
i = j
continue
if msg.get("role") == "tool" and is_interrupted_tool_result(msg.get("content", "")):
logger.debug("Stripping orphan interrupted tool result from replay history")
i += 1
continue
cleaned.append(msg)
i += 1
return cleaned
def strip_dangling_tool_call_tail(
agent_history: List[Dict[str, Any]],
) -> List[Dict[str, Any]]:
"""Strip a trailing ``assistant(tool_calls)`` block left with NO answers.
When a tool call itself kills the gateway process (``docker restart``,
``systemctl restart``, ``kill``, ``hermes gateway restart``), the process
is terminated by SIGKILL *mid-call* before the tool result is ever
written and before the orderly shutdown rewind
(``_drop_trailing_empty_response_scaffolding``) can run. The last thing
persisted is the ``assistant`` message that issued the ``tool_calls``,
with zero matching ``tool`` rows.
On resume the model sees an unanswered tool call at the tail and naturally
re-issues it which restarts the gateway again, producing the infinite
reboot loop in #49201. ``strip_interrupted_tool_tails`` does not catch
this because there is no tool result to inspect for an interrupt marker.
This strips that dangling tail at the source so there is nothing for the
model to re-execute. It only acts when the tail is an
``assistant(tool_calls)`` whose calls have NO corresponding ``tool``
results a completed assistanttool pair (any tool answers present) is
left untouched so genuine mid-progress tool loops still resume.
"""
if not agent_history:
return agent_history
last = agent_history[-1]
if not (
isinstance(last, dict)
and last.get("role") == "assistant"
and last.get("tool_calls")
):
return agent_history
tool_calls = last.get("tool_calls") or []
if any(
tool_may_have_side_effect(
str((call.get("function") or {}).get("name") or "")
)
for call in tool_calls
):
recovered = list(agent_history)
for call in tool_calls:
function = call.get("function") or {}
name = str(function.get("name") or "unknown")
call_id = str(call.get("id") or call.get("call_id") or "")
disposition = "unknown" if tool_may_have_side_effect(name) else "none"
content = (
"[Orphan recovery: this tool may have executed before Hermes stopped; "
"its effect is UNKNOWN. Inspect current state before retrying.]"
if disposition == "unknown"
else "[Orphan recovery: this read-only tool did not complete and had no effect.]"
)
recovered.append(make_tool_result_message(
name, content, call_id, effect_disposition=disposition,
))
logger.warning(
"Recovered dangling side-effecting tool call(s) as UNKNOWN instead of erasing them"
)
return recovered
logger.debug(
"Stripping dangling unanswered read-only assistant(tool_calls) tail (%d call(s))",
len(tool_calls),
)
return agent_history[:-1]
def sanitize_replay_history(
agent_history: List[Dict[str, Any]],
) -> List[Dict[str, Any]]:
"""Apply both replay-tail strippers in the canonical order.
Convenience entry point for resume code paths: removes interrupted
assistanttool blocks anywhere in the history, then removes a dangling
unanswered ``assistant(tool_calls)`` tail. Returns the same list object
when there is nothing to strip.
"""
if not agent_history:
return agent_history
return strip_dangling_tool_call_tail(strip_interrupted_tool_tails(agent_history))
# ──────────────────────────────────────────────────────────────────────
# Stale dangerous-confirmation text expiry (#59607)
# ──────────────────────────────────────────────────────────────────────
# How long a high-risk confirmation phrase remains valid.
# Short on purpose: dangerous side effects should not survive any restart
# or session resumption gap. The user can always re-confirm if needed.
_DANGEROUS_CONFIRMATION_EXPIRY_SECONDS = 60.0
# Confirmation phrases that unlock destructive host actions.
# Substring match (case-insensitive) so that user variants (e.g. trailing
# punctuation, additional context) still match. Add new patterns here when
# new high-risk actions are introduced.
_DANGEROUS_CONFIRMATION_PATTERNS: tuple = (
"confirm forced restart",
"confirm forced reboot",
"confirm shutdown",
"confirm reboot",
"confirm power off",
"yes, delete everything",
"confirm wipe",
"confirm factory reset",
# i18n variants observed in the original incident
"確認強制重開機",
"確認強制重開",
"確認重啟",
)
# Replacement text for an expired confirmation. Redacting in place (rather
# than deleting the message) preserves strict user/assistant role
# alternation in the replayed history.
_EXPIRED_CONFIRMATION_SENTINEL = (
"[A high-risk confirmation previously given here has EXPIRED and must "
"not be acted on. Ask the user to re-confirm explicitly before "
"performing any destructive action.]"
)
def is_dangerous_confirmation(content: Any) -> bool:
"""Return True if a user-message text matches a known dangerous confirmation.
Used by ``strip_stale_dangerous_confirmations`` to decide which
transcript rows to expire. Substring + case-insensitive so that
``"Please confirm forced restart, the host is critical"`` still matches.
"""
if not isinstance(content, str):
return False
text = content.strip().lower()
return any(pattern in text for pattern in _DANGEROUS_CONFIRMATION_PATTERNS)
def strip_stale_dangerous_confirmations(
agent_history: List[Dict[str, Any]],
*,
now: float,
expiry_seconds: float = _DANGEROUS_CONFIRMATION_EXPIRY_SECONDS,
) -> List[Dict[str, Any]]:
"""Expire stale dangerous-confirmation text in user messages (#59607).
When a high-risk side effect (e.g. host restart via ``shutdown.exe``)
runs, the user's plain-text confirmation phrase is persisted in the
conversation transcript. If the host restart killed the gateway
process before the assistant's tool result was written, the
transcript tail ends on the assistant's text response — and the
dangerous confirmation text remains in the user role.
On the next inbound message possibly a casual "are you there?" from
the user minutes later the LLM sees the stale confirmation and may
interpret the new turn as a fresh re-confirmation, re-executing the
destructive action. This is the failure mode reported in #59607.
Expired confirmations are REDACTED IN PLACE, not removed: deleting a
user message from the incident tail (``user(confirm)
assistant("OK, restarting")``) would leave two consecutive assistant
messages, violating the strict role-alternation invariant providers
enforce. The message survives with its role intact; only the trigger
text is replaced by a sentinel that tells the model the confirmation
has expired.
Messages without a timestamp are left untouched (backward
compatibility: legacy transcripts and in-memory test scaffolding have
no timestamps). User messages that contain dangerous confirmation
text but are within the expiry window are also left untouched they
represent a fresh confirmation that has not yet been acted on.
Complements 75ed07ace (which strips the *assistant* side of the
broken tail) by handling the *user* side: a stale plain-text
confirmation that the assistant has not yet responded to in a way
the resume logic recognises.
"""
if not agent_history:
return agent_history
cleaned: List[Dict[str, Any]] = []
for msg in agent_history:
if (
isinstance(msg, dict)
and msg.get("role") == "user"
and is_dangerous_confirmation(msg.get("content", ""))
):
ts = msg.get("timestamp")
if ts is not None and (now - float(ts)) > expiry_seconds:
logger.debug(
"Redacting stale dangerous-confirmation text in user "
"message (age=%.1fs, expiry=%.1fs): %r",
now - float(ts),
expiry_seconds,
(msg.get("content") or "")[:80],
)
redacted = dict(msg)
redacted["content"] = _EXPIRED_CONFIRMATION_SENTINEL
cleaned.append(redacted)
continue
cleaned.append(msg)
return cleaned
+1 -26
View File
@@ -24,14 +24,6 @@ _jitter_lock = threading.Lock()
# not sit silent for 20+ minutes.
_ZAI_CODING_OVERLOAD_LONG_BACKOFF = (30.0, 60.0, 90.0, 120.0)
# Number of initial short retries before the adaptive long-backoff tier kicks
# in. Shared by ``adaptive_rate_limit_backoff`` (which walks the long table
# starting at attempt ``short_attempts + 1``) and
# ``zai_coding_overload_retry_ceiling`` (which sizes the retry loop so every
# long-tier entry is reachable). Keeping it a single module constant prevents
# the two from silently desyncing if the short-retry count is ever tuned.
_ZAI_CODING_OVERLOAD_SHORT_ATTEMPTS = 3
def jittered_backoff(
attempt: int,
@@ -112,7 +104,7 @@ def adaptive_rate_limit_backoff(
model: str | None,
error: Any,
default_wait: float,
short_attempts: int = _ZAI_CODING_OVERLOAD_SHORT_ATTEMPTS,
short_attempts: int = 3,
) -> tuple[float, str | None]:
"""Provider-aware rate-limit backoff.
@@ -135,20 +127,3 @@ def adaptive_rate_limit_backoff(
# A smaller jitter ratio keeps long waits readable while still avoiding
# synchronized retry storms across concurrent Hermes sessions.
return jittered_backoff(1, base_delay=base_delay, max_delay=base_delay, jitter_ratio=0.2), "zai_coding_overload_long"
def zai_coding_overload_retry_ceiling(short_attempts: int = _ZAI_CODING_OVERLOAD_SHORT_ATTEMPTS) -> int:
"""Retry-loop ceiling needed for the full Z.AI overload backoff schedule.
The adaptive policy runs ``short_attempts`` short retries, then walks the
long-backoff table one entry per subsequent attempt. The retry loop gives
up as soon as ``retry_count >= ceiling`` and that check runs *before* the
attempt's backoff is computed — so the ceiling must sit one past the final
long-backoff entry for every long tier to actually execute.
With the default ``api_max_retries`` (3) equal to ``short_attempts`` (3),
the loop always gave up before reaching the long tier, leaving the whole
long-backoff schedule as dead code. Callers extend the ceiling to this
value for Z.AI Coding overload 429s so the 30/60/90/120s waits run.
"""
return short_attempts + len(_ZAI_CODING_OVERLOAD_LONG_BACKOFF) + 1
+5 -43
View File
@@ -10,36 +10,15 @@ Multi-session gateways can pin a logical cwd via the `_SESSION_CWD`
contextvar; CLI/cron fall through to `TERMINAL_CWD`/launch cwd.
"""
import logging
import os
from contextvars import ContextVar, Token
from pathlib import Path
from typing import Any
logger = logging.getLogger(__name__)
_UNSET: Any = object()
_SESSION_CWD: ContextVar = ContextVar("HERMES_SESSION_CWD", default=_UNSET)
# The Python package/source root (this file lives at <root>/agent/runtime_cwd.py).
# When a backend is launched from, or self-spawns into, this tree (the desktop
# app default), an os.getcwd() fallback would inject this repo's contributor
# AGENTS.md as authoritative project context. Context discovery must never
# resolve here.
_PACKAGE_ROOT = Path(__file__).resolve().parent.parent
def _is_install_tree(p: Path) -> bool:
# True only when p IS the package root or sits inside it. Ancestors of the
# package root (a user home that happens to contain the checkout, a --user
# site-packages parent) are legitimate workspaces and must not be blocked.
try:
p = p.resolve()
except Exception:
return False
return p == _PACKAGE_ROOT or _PACKAGE_ROOT in p.parents
def set_session_cwd(cwd: str | None) -> Token:
"""Pin the logical cwd for the current context."""
@@ -63,38 +42,21 @@ def resolve_agent_cwd() -> Path:
p = Path(override).expanduser()
if p.is_dir():
return p
logger.warning("configured working directory does not exist: %s", override)
raw = os.environ.get("TERMINAL_CWD", "").strip()
if raw:
p = Path(raw).expanduser()
if p.is_dir():
return p
logger.warning("TERMINAL_CWD does not exist: %s", raw)
return Path(os.getcwd())
def resolve_context_cwd() -> Path | None:
# None means "no configured cwd": build_context_files_prompt then falls back
# to the launch dir (os.getcwd()), correct for a local CLI launched inside a
# real project. A configured path is validated here (previously it was passed
# through unchecked, diverging from resolve_agent_cwd). An explicitly
# configured path is otherwise honored verbatim — including the Hermes
# source tree itself, which is a legitimate workspace when the user is
# developing Hermes (per-surface policy for fallback-picked directories
# lives in build_context_files_prompt; see #64590).
# to the launch dir (os.getcwd()) correct for the local CLI. The gateway
# avoids slurping its install dir by setting TERMINAL_CWD (see system_prompt.py)
# or, per session, the _SESSION_CWD contextvar above.
override = _session_cwd_override()
if override:
p = Path(override).expanduser()
if not p.is_dir():
logger.warning("configured working directory does not exist: %s", override)
else:
return p
return None
return Path(override).expanduser()
raw = os.environ.get("TERMINAL_CWD", "").strip()
if raw:
p = Path(raw).expanduser()
if not p.is_dir():
logger.warning("TERMINAL_CWD does not exist: %s", raw)
else:
return p
return None
return Path(raw).expanduser() if raw else None
+4 -32
View File
@@ -1,41 +1,13 @@
"""External secret source integrations.
A secret source is anything that can supply environment-variable-shaped
credentials at process startup, _after_ ~/.hermes/.env has loaded.
credentials at process startup, _after_ ~/.hermes/.env has loaded. By
default sources are non-destructive: they only set values for env vars
that aren't already present, so .env and shell exports continue to win.
The contract every source implements is
:class:`agent.secret_sources.base.SecretSource`; the orchestrator that
runs the enabled sources (ordering, mapped-beats-bulk precedence,
first-claim-wins conflicts, ``override_existing`` semantics, provenance)
is :func:`agent.secret_sources.registry.apply_all`. Multiple sources
can be enabled at once see the registry module docstring for the
precedence ladder. The atomic-write / 0600 / TTL disk-cache substrate
is shared across backends in ``agent.secret_sources._cache`` so the
security-sensitive bits live in exactly one place.
Currently bundled:
Currently shipped:
- ``bitwarden`` Bitwarden Secrets Manager (`bws` CLI). See
``agent.secret_sources.bitwarden`` for the integration and
``hermes_cli.secrets_cli`` for the user-facing setup wizard.
- ``onepassword`` 1Password ``op://`` secret references (`op` CLI).
See ``agent.secret_sources.onepassword`` for the integration and
``hermes_cli.onepassword_secrets_cli`` for the user-facing commands.
The bundled set is deliberately closed (policy mirrors memory
providers): new third-party secret managers ship as standalone plugin
repos that subclass ``SecretSource`` and register through
``PluginContext.register_secret_source()`` they are NOT added to this
package. A generic ``command`` source is a possible future exception;
OS keystores (Keychain/DPAPI/libsecret) are under discussion.
"""
from agent.secret_sources.base import ( # noqa: F401
SECRET_SOURCE_API_VERSION,
ErrorKind,
FetchResult,
SecretSource,
is_valid_env_name,
run_secret_cli,
scrub_ansi,
)
-213
View File
@@ -1,213 +0,0 @@
"""Shared substrate for external secret-source backends.
Every backend (Bitwarden, 1Password, ) needs the same handful of
security-sensitive primitives:
* a uniform result object (:class:`FetchResult`),
* environment-variable name validation (:func:`is_valid_env_name`),
* a two-layer fetch cache whose disk half writes atomically with ``0600``
permissions and honours a TTL (:class:`DiskCache`, :class:`CachedFetch`).
These used to live inline inside ``bitwarden.py``. Pulling them here means
the atomic-write / ``0600`` / TTL logic is audited and fixed in exactly one
place instead of drifting across copy-pasted per-backend modules each
backend supplies only its own cache-key shape and a serializer for it.
Nothing in this module ever raises out to the caller's hot path: the disk
layer is strictly best-effort (a miss just triggers a refetch), because a
cache problem must never block Hermes startup.
"""
from __future__ import annotations
import json
import os
import tempfile
import time
from dataclasses import dataclass
from pathlib import Path
from typing import Callable, Dict, Generic, Optional, TypeVar
__all__ = [
"FetchResult",
"CachedFetch",
"DiskCache",
"is_valid_env_name",
"resolve_cache_home",
]
# ---------------------------------------------------------------------------
# Result object + env-name validation — canonical definitions live in
# ``agent.secret_sources.base`` (the SecretSource contract module); re-exported
# here so backends that import from ``_cache`` keep working.
# ---------------------------------------------------------------------------
from agent.secret_sources.base import ( # noqa: E402
FetchResult,
is_valid_env_name,
)
# ---------------------------------------------------------------------------
# Cache entry
# ---------------------------------------------------------------------------
@dataclass
class CachedFetch:
"""A set of fetched secret values plus when they were fetched."""
secrets: Dict[str, str]
fetched_at: float
def is_fresh(self, ttl_seconds: float) -> bool:
if ttl_seconds <= 0:
return False
return (time.time() - self.fetched_at) < ttl_seconds
# ---------------------------------------------------------------------------
# Disk cache
# ---------------------------------------------------------------------------
def resolve_cache_home(home_path: Optional[Path] = None) -> Path:
"""Resolve the Hermes home used for cache paths.
``home_path`` is whatever ``load_hermes_dotenv()`` already resolved;
falling back to ``$HERMES_HOME`` / ``~/.hermes`` keeps direct callers
(and tests that don't thread a home through) working.
"""
if home_path is None:
home_path = Path(os.getenv("HERMES_HOME", Path.home() / ".hermes"))
return home_path
K = TypeVar("K")
class DiskCache(Generic[K]):
"""Best-effort, profile-aware on-disk cache for fetched secret values.
One JSON object per backend lives at ``<hermes_home>/cache/<basename>``::
{"key": "<serialized cache key>", "secrets": {...}, "fetched_at": 1.0}
The file holds only secret *values* keyed by the serialized cache key
never raw auth material. Backends are responsible for fingerprinting
tokens/sessions *before* they reach ``key_serializer`` so the token can't
land in the key.
Writes are atomic (``mkstemp`` ``chmod 0600`` ``os.replace``) and the
containing ``cache/`` directory is forced to ``0700`` ``mkdir``'s mode is
umask-subject, so the chmod is the reliable form. Both ``read`` and
``write`` short-circuit when ``ttl_seconds <= 0``, so setting the TTL to
zero disables *both* cache layers symmetrically: a user opting out never
gets secret values written to disk at all.
"""
def __init__(self, basename: str, *, key_serializer: Callable[[K], str]) -> None:
self._basename = basename
self._key_serializer = key_serializer
# Temp-file prefix derived from the basename so concurrent writers for
# different backends in the same dir don't collide on the staging name.
stem = basename.split(".", 1)[0]
self._tmp_prefix = f".{stem}_"
def path(self, home_path: Optional[Path] = None) -> Path:
return resolve_cache_home(home_path) / "cache" / self._basename
def read(
self,
key: K,
ttl_seconds: float,
home_path: Optional[Path] = None,
) -> Optional[CachedFetch]:
"""Return a fresh cached entry for ``key``, or None.
Best-effort: any I/O or parse error, a key mismatch, or a stale entry
all return None so the caller re-fetches.
"""
if ttl_seconds <= 0:
return None
path = self.path(home_path)
try:
with open(path, "r", encoding="utf-8") as f:
payload = json.load(f)
except (OSError, json.JSONDecodeError):
return None
if not isinstance(payload, dict):
return None
if payload.get("key") != self._key_serializer(key):
return None
secrets = payload.get("secrets")
fetched_at = payload.get("fetched_at")
if not isinstance(secrets, dict) or not isinstance(fetched_at, (int, float)):
return None
# JSON permits non-string values; env vars need strings, so coerce by
# dropping anything that isn't a str→str pair.
typed: Dict[str, str] = {
k: v for k, v in secrets.items() if isinstance(k, str) and isinstance(v, str)
}
entry = CachedFetch(secrets=typed, fetched_at=float(fetched_at))
if not entry.is_fresh(ttl_seconds):
return None
return entry
def write(
self,
key: K,
entry: CachedFetch,
ttl_seconds: float,
home_path: Optional[Path] = None,
) -> None:
"""Persist ``entry`` for ``key`` atomically at mode ``0600``.
No-op when ``ttl_seconds <= 0`` (so caching is genuinely off) or on any
I/O error the next invocation just re-fetches.
"""
if ttl_seconds <= 0:
return
path = self.path(home_path)
try:
cache_dir = path.parent
cache_dir.mkdir(parents=True, exist_ok=True)
# mkdir's mode is umask-subject; chmod the dir to 0700 so cache
# metadata isn't exposed if HERMES_HOME is ever made traversable.
try:
os.chmod(cache_dir, 0o700)
except OSError:
pass
payload = {
"key": self._key_serializer(key),
"secrets": entry.secrets,
"fetched_at": entry.fetched_at,
}
# Write to a sibling temp file and atomic-rename. tempfile honours
# os.umask, so we explicitly chmod 0600 before the rename.
fd, tmp = tempfile.mkstemp(
prefix=self._tmp_prefix, suffix=".tmp", dir=str(cache_dir)
)
try:
with os.fdopen(fd, "w", encoding="utf-8") as f:
json.dump(payload, f)
os.chmod(tmp, 0o600)
os.replace(tmp, path)
except BaseException:
try:
os.unlink(tmp)
except OSError:
pass
raise
except OSError:
pass # best-effort — a disk-cache miss next invocation is fine
def clear(self, home_path: Optional[Path] = None) -> None:
"""Delete the on-disk cache file if present (idempotent)."""
try:
self.path(home_path).unlink()
except (FileNotFoundError, OSError):
pass
-274
View File
@@ -1,274 +0,0 @@
"""Secret-source contract: the ABC every secret backend implements.
A *secret source* resolves credentials from an external secret manager
(Bitwarden Secrets Manager, 1Password, an OS keystore, a user script, ...)
into environment-variable-shaped values at process startup, AFTER
``~/.hermes/.env`` has loaded and BEFORE the rest of Hermes reads
``os.environ``.
Scope of the contract (deliberate, please do not widen):
* **Read-only.** Sources resolve refs values. There is no write-back
("save this key to your vault"), no arbitrary secret objects, and no
mid-session secret API. If a future need for rotation/refresh appears
it will arrive as a versioned optional hook do not bolt it on.
* **Startup-time, synchronous.** ``fetch()`` is called once per process
(per HERMES_HOME) by the orchestrator in
:mod:`agent.secret_sources.registry`, which enforces a wall-clock
timeout around it. Sources must not spawn background refreshers.
* **Never raises, never prompts.** ``fetch()`` returns a
:class:`FetchResult` errors go in ``result.error`` with a
machine-readable :class:`ErrorKind`. Interactive auth belongs in the
source's CLI ``setup`` flow, never on the startup path (non-TTY
gateway/cron startup must never block on stdin).
* **Sources fetch; the orchestrator applies.** A source returns the
namevalue mapping it *would* contribute. Precedence (mapped-beats-bulk,
first-wins, ``override_existing``, protected vars), conflict warnings,
provenance tracking, and the actual ``os.environ`` writes are owned by
the orchestrator so no backend can get them wrong.
Versioning: ``SECRET_SOURCE_API_VERSION`` gates plugin compatibility.
New *optional* hooks with default implementations do not bump it;
required-signature changes do, and the registry skips (with a warning)
sources built against a different major version instead of crashing
startup.
"""
from __future__ import annotations
import os
import re
import subprocess
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from enum import Enum
from pathlib import Path
from typing import Dict, FrozenSet, List, Optional, Sequence
# Bump ONLY for breaking changes to the required contract surface
# (abstract-method signatures, FetchResult required fields). Additive
# optional hooks must ship with defaults and must NOT bump this.
SECRET_SOURCE_API_VERSION = 1
# Timeout the orchestrator enforces around fetch() when the source's
# config section doesn't override it. Generous because a first run may
# include a one-time CLI binary auto-install (e.g. bws download+verify).
DEFAULT_FETCH_TIMEOUT_SECONDS = 120.0
# Default timeout for run_secret_cli() subprocess invocations.
DEFAULT_CLI_TIMEOUT_SECONDS = 30.0
class ErrorKind(str, Enum):
"""Machine-readable failure taxonomy for :class:`FetchResult.error`.
A fixed vocabulary keeps startup warnings and ``hermes secrets status``
uniform across backends, and lets the orchestrator implement
kind-dependent policy (e.g. a future stale-cache fallback on
``NETWORK``/``TIMEOUT`` but not on ``AUTH_FAILED``) exactly once.
"""
NOT_CONFIGURED = "not_configured" # enabled but missing token/project/map
BINARY_MISSING = "binary_missing" # helper CLI not found / not installed
AUTH_FAILED = "auth_failed" # bad credentials
AUTH_EXPIRED = "auth_expired" # credentials were valid, aren't now
REF_INVALID = "ref_invalid" # a secret reference failed validation
NETWORK = "network" # transport-level failure
EMPTY_VALUE = "empty_value" # backend returned nothing for a ref
TIMEOUT = "timeout" # fetch exceeded its wall-clock budget
INTERNAL = "internal" # anything else (bug, unexpected shape)
@dataclass
class FetchResult:
"""Outcome of one source's fetch.
``secrets`` holds what the source *would* contribute; whether each
var is actually applied is the orchestrator's decision. ``applied``
and ``skipped`` exist for backward compatibility with the original
Bitwarden fetch-and-apply entry point and are left empty by
conforming ``fetch()`` implementations.
"""
secrets: Dict[str, str] = field(default_factory=dict)
applied: List[str] = field(default_factory=list)
skipped: List[str] = field(default_factory=list)
warnings: List[str] = field(default_factory=list)
error: Optional[str] = None
error_kind: Optional[ErrorKind] = None
# Path of the helper binary used, when the source is CLI-driven.
# Surfaced by status commands; None for SDK/API-driven sources.
binary_path: Optional[Path] = None
@property
def ok(self) -> bool:
return self.error is None
class SecretSource(ABC):
"""One external secret backend.
Subclasses set the class attributes and implement :meth:`fetch`.
Everything else has a sensible default.
Attributes:
name: Config-section key under ``secrets:`` in config.yaml.
Lowercase ``[a-z0-9_]+``. Also the provenance label stored
for every var this source supplies.
label: Human-readable name used in startup messages and
``hermes secrets status`` (e.g. ``"Bitwarden Secrets Manager"``).
shape: ``"mapped"`` when the user explicitly binds env-var names
to refs (1Password ``env:`` map, command source) or
``"bulk"`` when the backend injects whole projects/folders
of secrets implicitly (Bitwarden BSM). The orchestrator
gives mapped sources precedence over bulk sources: an
explicit binding is stronger intent than a project dump.
scheme: Optional URI scheme this source owns for secret
references (``"op"`` for ``op://...``). Must be unique
across registered sources refs may eventually appear
outside the ``secrets:`` block (e.g. credential-pool
``api_key`` fields), so scheme collisions are rejected at
registration time to keep that future possible.
api_version: Contract version this source was built against.
"""
api_version: int = SECRET_SOURCE_API_VERSION
name: str = ""
label: str = ""
shape: str = "mapped" # "mapped" | "bulk"
scheme: Optional[str] = None
# -- required ----------------------------------------------------------
@abstractmethod
def fetch(self, cfg: dict, home_path: Path) -> FetchResult:
"""Resolve this source's secrets. MUST NOT raise or prompt.
``cfg`` is the source's raw config section (``secrets.<name>``)
from config.yaml treat every field defensively, the section
may be malformed. ``home_path`` is the resolved HERMES_HOME.
"""
# -- optional hooks (defaults are correct for most sources) ------------
def is_enabled(self, cfg: dict) -> bool:
"""Whether the user turned this source on."""
return bool(isinstance(cfg, dict) and cfg.get("enabled"))
def override_existing(self, cfg: dict) -> bool:
"""May this source overwrite vars that .env / the shell already set?
This NEVER extends to vars claimed by another secret source in the
same startup pass cross-source overrides are a config error the
orchestrator warns about, not a knob.
"""
return bool(isinstance(cfg, dict) and cfg.get("override_existing", False))
def protected_env_vars(self, cfg: dict) -> FrozenSet[str]:
"""Env vars the orchestrator must never let ANY source overwrite.
Typically the source's own bootstrap-auth var (e.g.
``BWS_ACCESS_TOKEN``) so a vault that contains its own access
token can't clobber the credential used to reach it.
"""
return frozenset()
def fetch_timeout_seconds(self, cfg: dict) -> float:
"""Wall-clock budget the orchestrator enforces around fetch()."""
try:
val = float((cfg or {}).get("timeout_seconds", DEFAULT_FETCH_TIMEOUT_SECONDS))
except (TypeError, ValueError):
return DEFAULT_FETCH_TIMEOUT_SECONDS
return val if val > 0 else DEFAULT_FETCH_TIMEOUT_SECONDS
def config_schema(self) -> dict:
"""Optional description of this source's config keys.
Shape: ``{key: {"description": str, "default": Any}}``. Used by
setup surfaces to render config without hardcoding per-source
knowledge. Purely informational.
"""
return {}
# ---------------------------------------------------------------------------
# Shared helpers — use these instead of hand-rolling per backend
# ---------------------------------------------------------------------------
_ENV_NAME_RE = re.compile(r"^[A-Za-z_][A-Za-z0-9_]*$")
# ANSI CSI/OSC escape sequences — helper-CLI stderr often carries color
# codes that must not reach Hermes' own startup output.
_ANSI_RE = re.compile(r"\x1b(?:\[[0-9;?]*[ -/]*[@-~]|\][^\x07\x1b]*(?:\x07|\x1b\\)?)")
def is_valid_env_name(name: str) -> bool:
"""True when ``name`` is a legal environment-variable name."""
return bool(name) and bool(_ENV_NAME_RE.match(name))
def scrub_ansi(text: str) -> str:
"""Strip ANSI escape sequences (whole CSI/OSC sequences, not just ESC)."""
return _ANSI_RE.sub("", text or "")
def run_secret_cli(
argv: Sequence[str],
*,
allow_env: Sequence[str] = (),
extra_env: Optional[Dict[str, str]] = None,
timeout: float = DEFAULT_CLI_TIMEOUT_SECONDS,
) -> subprocess.CompletedProcess:
"""Run a secret-manager helper CLI with a minimal, allowlisted env.
Security posture shared by every subprocess-driven backend:
* argv list only never ``shell=True``. Callers pass user-supplied
reference strings AFTER a ``--`` option terminator in their argv.
* The child gets ``PATH``/``HOME``/locale basics plus only the env
vars named in ``allow_env`` (auth/session vars) and ``extra_env``
never a copy of the full post-dotenv ``os.environ``, which by
this point holds every credential Hermes knows about.
* ``NO_COLOR=1`` is set and stderr/stdout are ANSI-scrubbed so
helper diagnostics can't smuggle escape sequences into Hermes
output.
* stdin is ``/dev/null`` so a helper that decides to prompt fails
fast instead of hanging startup.
Raises ``RuntimeError`` on spawn failure or timeout (message safe to
surface); returns the completed process otherwise callers own
returncode interpretation.
"""
base_keep = ("PATH", "HOME", "USERPROFILE", "SYSTEMROOT", "TMPDIR", "TEMP",
"LANG", "LC_ALL", "XDG_CONFIG_HOME", "XDG_DATA_HOME")
env: Dict[str, str] = {}
for key in (*base_keep, *allow_env):
val = os.environ.get(key)
if val is not None:
env[key] = val
if extra_env:
env.update(extra_env)
env.setdefault("NO_COLOR", "1")
try:
proc = subprocess.run( # noqa: S603 — argv list, no shell
list(argv),
env=env,
capture_output=True,
text=True,
timeout=timeout,
stdin=subprocess.DEVNULL,
)
except subprocess.TimeoutExpired as exc:
raise RuntimeError(
f"{Path(str(argv[0])).name} timed out after {timeout:.0f}s"
) from exc
except OSError as exc:
raise RuntimeError(
f"failed to invoke {Path(str(argv[0])).name}: {exc}"
) from exc
proc.stdout = proc.stdout or ""
proc.stderr = scrub_ansi(proc.stderr or "")
return proc
+123 -160
View File
@@ -42,17 +42,10 @@ import time
import urllib.error
import urllib.request
import zipfile
from dataclasses import dataclass, field
from pathlib import Path
from typing import Dict, List, Optional, Tuple
from agent.secret_sources._cache import (
CachedFetch as _CachedFetch,
DiskCache,
FetchResult,
is_valid_env_name as _is_valid_env_name,
)
from agent.secret_sources.base import ErrorKind, SecretSource
logger = logging.getLogger(__name__)
@@ -77,7 +70,7 @@ _BWS_RUN_TIMEOUT = 30
# In-process cache so repeated load_hermes_dotenv() calls (CLI startup,
# gateway hot-reload, test suites) don't re-fetch from BSM.
_CacheKey = Tuple[str, str, str] # (access_token_fingerprint, project_id, server_url)
_CACHE: Dict[_CacheKey, _CachedFetch] = {}
_CACHE: Dict[_CacheKey, "_CachedFetch"] = {}
# Disk-persisted cache so back-to-back CLI invocations (e.g. `hermes chat -q ...`
# called from scripts, cron, the gateway forking new agents) don't each pay the
@@ -88,29 +81,124 @@ _CACHE: Dict[_CacheKey, _CachedFetch] = {}
# <hermes_home>/cache/bws_cache.json. The file holds only the secret VALUES,
# never the access token. It's plaintext-equivalent to ~/.hermes/.env (which
# we already accept) but kept out of the .env file so users editing it won't
# accidentally commit BSM-sourced secrets. The atomic-write/0600/TTL mechanics
# live in agent.secret_sources._cache.DiskCache, shared with the other backends.
# accidentally commit BSM-sourced secrets.
_DISK_CACHE_BASENAME = "bws_cache.json"
def _disk_cache_path(home_path: Optional[Path] = None) -> Path:
"""Return the disk cache path under hermes_home/cache/.
`home_path` is what `load_hermes_dotenv()` already resolved; falling back
to `$HERMES_HOME` / `~/.hermes` keeps direct callers working too.
"""
if home_path is None:
home_path = Path(os.getenv("HERMES_HOME", Path.home() / ".hermes"))
return home_path / "cache" / _DISK_CACHE_BASENAME
def _cache_key_str(cache_key: _CacheKey) -> str:
"""Serialize a cache key to a stable string for JSON storage."""
token_fp, project_id, server_url = cache_key
return f"{token_fp}|{project_id}|{server_url}"
_DISK_CACHE: DiskCache = DiskCache(
_DISK_CACHE_BASENAME, key_serializer=_cache_key_str
)
def _read_disk_cache(cache_key: _CacheKey, ttl_seconds: float,
home_path: Optional[Path] = None) -> Optional["_CachedFetch"]:
"""Return a cached entry from disk if fresh, else None.
def _disk_cache_path(home_path: Optional[Path] = None) -> Path:
"""Return the disk cache path under hermes_home/cache/.
Thin wrapper over the shared DiskCache, kept for tests and any direct
callers; falls back to `$HERMES_HOME` / `~/.hermes` when home is None.
Best-effort: any I/O or parse error returns None and we re-fetch.
"""
return _DISK_CACHE.path(home_path)
if ttl_seconds <= 0:
return None
path = _disk_cache_path(home_path)
try:
with open(path, "r", encoding="utf-8") as f:
payload = json.load(f)
except (OSError, json.JSONDecodeError):
return None
if not isinstance(payload, dict):
return None
if payload.get("key") != _cache_key_str(cache_key):
return None
secrets = payload.get("secrets")
fetched_at = payload.get("fetched_at")
if not isinstance(secrets, dict) or not isinstance(fetched_at, (int, float)):
return None
# Coerce all values to strings — JSON allows numbers but env vars need strings
typed_secrets: Dict[str, str] = {
k: v for k, v in secrets.items() if isinstance(k, str) and isinstance(v, str)
}
entry = _CachedFetch(secrets=typed_secrets, fetched_at=float(fetched_at))
if not entry.is_fresh(ttl_seconds):
return None
return entry
def _write_disk_cache(cache_key: _CacheKey, entry: "_CachedFetch",
home_path: Optional[Path] = None) -> None:
"""Persist a cache entry to disk atomically with mode 0600.
Best-effort: any I/O error is swallowed (the next invocation will just
re-fetch). We never want disk cache failures to break startup.
"""
path = _disk_cache_path(home_path)
try:
path.parent.mkdir(parents=True, exist_ok=True)
payload = {
"key": _cache_key_str(cache_key),
"secrets": entry.secrets,
"fetched_at": entry.fetched_at,
}
# Write to a temp file in the same directory and atomic-rename.
# tempfile honors os.umask, so we explicitly chmod 0600 before rename.
fd, tmp = tempfile.mkstemp(
prefix=".bws_cache_", suffix=".tmp", dir=str(path.parent)
)
try:
with os.fdopen(fd, "w", encoding="utf-8") as f:
json.dump(payload, f)
os.chmod(tmp, 0o600)
os.replace(tmp, path)
except BaseException:
try:
os.unlink(tmp)
except OSError:
pass
raise
except OSError:
pass # best-effort — disk cache miss on next invocation is fine
@dataclass
class _CachedFetch:
secrets: Dict[str, str]
fetched_at: float
def is_fresh(self, ttl_seconds: float) -> bool:
if ttl_seconds <= 0:
return False
return (time.time() - self.fetched_at) < ttl_seconds
# ---------------------------------------------------------------------------
# Public dataclasses
# ---------------------------------------------------------------------------
@dataclass
class FetchResult:
"""Outcome of a single BSM pull."""
secrets: Dict[str, str] = field(default_factory=dict)
applied: List[str] = field(default_factory=list) # set into os.environ
skipped: List[str] = field(default_factory=list) # already set, not overridden
warnings: List[str] = field(default_factory=list) # non-fatal issues
error: Optional[str] = None # fatal: nothing was fetched
binary_path: Optional[Path] = None
@property
def ok(self) -> bool:
return self.error is None
# ---------------------------------------------------------------------------
@@ -391,7 +479,7 @@ def fetch_bitwarden_secrets(
if cached and cached.is_fresh(cache_ttl_seconds):
return cached.secrets, []
# L2: disk cache. ~5ms on cache hit vs ~380ms for `bws secret list`.
disk_cached = _DISK_CACHE.read(cache_key, cache_ttl_seconds, home_path)
disk_cached = _read_disk_cache(cache_key, cache_ttl_seconds, home_path)
if disk_cached is not None:
# Promote into in-process cache so subsequent fetches in the
# same process skip the disk read too.
@@ -411,7 +499,7 @@ def fetch_bitwarden_secrets(
entry = _CachedFetch(secrets=secrets, fetched_at=time.time())
_CACHE[cache_key] = entry
if use_cache:
_DISK_CACHE.write(cache_key, entry, cache_ttl_seconds, home_path)
_write_disk_cache(cache_key, entry, home_path)
return secrets, warnings
@@ -487,6 +575,14 @@ def _run_bws_list(
return secrets, warnings
def _is_valid_env_name(name: str) -> bool:
if not name:
return False
if not (name[0].isalpha() or name[0] == "_"):
return False
return all(c.isalnum() or c == "_" for c in name)
# ---------------------------------------------------------------------------
# Public entry point — called from hermes_cli.env_loader
# ---------------------------------------------------------------------------
@@ -577,142 +673,6 @@ def apply_bitwarden_secrets(
return result
# ---------------------------------------------------------------------------
# SecretSource adapter — the registry-facing wrapper around this module.
# ---------------------------------------------------------------------------
class BitwardenSource(SecretSource):
"""Bitwarden Secrets Manager as a registered secret source.
Thin adapter over the module's fetch machinery. ``fetch()`` only
*fetches* precedence, override semantics, conflict warnings, and
the ``os.environ`` writes are the orchestrator's job
(see ``agent.secret_sources.registry.apply_all``).
Bitwarden is a **bulk** source: it injects every secret in the
configured BSM project, so explicit per-var bindings from mapped
sources (e.g. the 1Password ``env:`` map) outrank it.
"""
name = "bitwarden"
label = "Bitwarden Secrets Manager"
shape = "bulk"
scheme = "bws"
def override_existing(self, cfg: dict) -> bool:
# Default True (matches DEFAULT_CONFIG): the point of BSM is
# centralized rotation — if .env had the final say, rotating a
# key in Bitwarden wouldn't take effect until the stale .env
# line was also deleted.
return bool(isinstance(cfg, dict) and cfg.get("override_existing", True))
def protected_env_vars(self, cfg: dict):
token_env = "BWS_ACCESS_TOKEN"
if isinstance(cfg, dict):
token_env = str(cfg.get("access_token_env") or token_env)
return frozenset({token_env})
def config_schema(self) -> dict:
return {
"enabled": {"description": "Master switch", "default": False},
"access_token_env": {
"description": "Env var holding the machine-account access token",
"default": "BWS_ACCESS_TOKEN",
},
"project_id": {"description": "BSM project UUID", "default": ""},
"cache_ttl_seconds": {
"description": "Disk+memory cache TTL; 0 disables",
"default": 300,
},
"override_existing": {
"description": "BSM values overwrite .env/shell values",
"default": True,
},
"auto_install": {
"description": "Auto-download the pinned bws binary",
"default": True,
},
"server_url": {
"description": "Region / self-hosted endpoint (empty = US Cloud)",
"default": "",
},
}
def fetch(self, cfg: dict, home_path: Path) -> FetchResult:
cfg = cfg if isinstance(cfg, dict) else {}
result = FetchResult()
access_token_env = str(cfg.get("access_token_env") or "BWS_ACCESS_TOKEN")
access_token = os.environ.get(access_token_env, "").strip()
if not access_token:
result.error = (
f"secrets.bitwarden.enabled is true but {access_token_env} is "
"not set. Run `hermes secrets bitwarden setup`."
)
result.error_kind = ErrorKind.NOT_CONFIGURED
return result
project_id = str(cfg.get("project_id") or "")
if not project_id:
result.error = (
"secrets.bitwarden.project_id is empty. "
"Run `hermes secrets bitwarden setup`."
)
result.error_kind = ErrorKind.NOT_CONFIGURED
return result
auto_install = bool(cfg.get("auto_install", True))
binary = find_bws(install_if_missing=auto_install)
result.binary_path = binary
if binary is None:
result.error = (
"bws binary not available and auto-install is disabled. "
"Run `hermes secrets bitwarden setup` to install."
)
result.error_kind = ErrorKind.BINARY_MISSING
return result
try:
ttl = float(cfg.get("cache_ttl_seconds", 300))
except (TypeError, ValueError):
ttl = 300.0
try:
secrets, warnings = fetch_bitwarden_secrets(
access_token=access_token,
project_id=project_id,
binary=binary,
cache_ttl_seconds=ttl,
server_url=str(cfg.get("server_url", "") or "").strip(),
home_path=home_path,
)
except RuntimeError as exc:
result.error = str(exc)
result.error_kind = _classify_bws_error(str(exc))
return result
result.secrets = secrets
result.warnings.extend(warnings)
return result
def _classify_bws_error(message: str) -> ErrorKind:
"""Best-effort mapping of bws failure text onto the shared taxonomy."""
lowered = message.lower()
if "timed out" in lowered:
return ErrorKind.TIMEOUT
if "binary not available" in lowered or "failed to invoke" in lowered:
return ErrorKind.BINARY_MISSING
if any(tok in lowered for tok in ("unauthorized", "invalid token",
"access token", "401", "403")):
return ErrorKind.AUTH_FAILED
if any(tok in lowered for tok in ("network", "connection", "resolve",
"download", "dns")):
return ErrorKind.NETWORK
return ErrorKind.INTERNAL
# ---------------------------------------------------------------------------
# Test hook — used by hermetic tests to flush the cache between cases.
# ---------------------------------------------------------------------------
@@ -726,4 +686,7 @@ def _reset_cache_for_tests(home_path: Optional[Path] = None) -> None:
writer itself.
"""
_CACHE.clear()
_DISK_CACHE.clear(home_path)
try:
_disk_cache_path(home_path).unlink()
except (FileNotFoundError, OSError):
pass
-643
View File
@@ -1,643 +0,0 @@
"""1Password (`op` CLI) secret source.
Resolve provider credentials from 1Password ``op://vault/item/field``
references at process startup so they don't have to live in plaintext in
``~/.hermes/.env``.
Design summary
--------------
* Users map environment-variable names to official 1Password secret
references in ``secrets.onepassword.env``::
secrets:
onepassword:
enabled: true
env:
OPENAI_API_KEY: "op://Private/OpenAI/api key"
ANTHROPIC_API_KEY: "op://Private/Anthropic/credential"
* After ``.env`` loads, each reference is resolved with a single
``op read -- <reference>`` call and injected into ``os.environ`` (the
same point in startup as the Bitwarden source).
* Authentication is whatever the user's ``op`` CLI already uses — a
service-account token (``OP_SERVICE_ACCOUNT_TOKEN``) for headless boxes,
or a desktop/interactive session (``OP_SESSION_*``). Hermes never
authenticates on the user's behalf; it shells out to an already-trusted,
already-authenticated CLI.
* Failures NEVER block startup. A missing ``op`` binary, expired auth, a
bad reference, or a permission error each surface a one-line warning and
Hermes continues with whatever credentials ``.env`` already had.
The atomic-write / ``0600`` / TTL cache mechanics are shared with the other
backends via :mod:`agent.secret_sources._cache` successful, complete pulls
are cached in-process and on disk under ``<hermes_home>/cache/op_cache.json``
so back-to-back short-lived ``hermes`` invocations don't re-shell ``op`` for
every reference. The disk file holds only resolved secret *values*; auth
material is fingerprinted, never stored.
"""
from __future__ import annotations
import hashlib
import logging
import os
import re
import shutil
import subprocess
import time
from pathlib import Path
from typing import Dict, List, Optional, Tuple
from agent.secret_sources._cache import (
CachedFetch,
DiskCache,
FetchResult,
is_valid_env_name,
)
from agent.secret_sources.base import ErrorKind, SecretSource
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Configuration constants
# ---------------------------------------------------------------------------
# How long to wait for a single `op read`, in seconds.
_OP_RUN_TIMEOUT = 30
# Default env var the official `op` CLI reads for service-account auth. Users
# can point `service_account_token_env` at a different name; we always export
# the value to the child as OP_SERVICE_ACCOUNT_TOKEN, which is what `op` itself
# looks for.
_DEFAULT_TOKEN_ENV = "OP_SERVICE_ACCOUNT_TOKEN"
# Strip whole ANSI CSI sequences (colour, cursor moves, line erases) from any
# `op` diagnostic we surface — not just the lone ESC byte — so a control
# sequence can't reposition the cursor or hide text after a redaction marker.
_ANSI_CSI_RE = re.compile(r"\x1b\[[0-?]*[ -/]*[@-~]")
# Env vars the `op` child actually needs. We build a minimal allowlisted env
# rather than copying all of os.environ (which, post-dotenv, holds every
# provider credential) into the child — tighter blast radius if `op` or
# anything it execs ever misbehaves. OP_SESSION_* and the token are added
# dynamically in _op_child_env().
_OP_ENV_ALLOWLIST = (
"PATH",
"HOME",
"USERPROFILE",
"APPDATA",
"LOCALAPPDATA",
"SystemRoot",
"TMPDIR",
"TMP",
"TEMP",
"XDG_CONFIG_HOME",
"XDG_RUNTIME_DIR",
"OP_ACCOUNT",
"OP_CONNECT_HOST",
"OP_CONNECT_TOKEN",
)
# ---------------------------------------------------------------------------
# Cache
# ---------------------------------------------------------------------------
# In-process cache. The key folds in str(home_path) so a HERMES_HOME switch
# inside one long-lived process (e.g. the gateway) can't return another
# profile's secrets from L1. The disk layer omits home from its serialized
# key because the file already lives under the home dir (see _disk_key_str).
_CacheKey = Tuple[str, str, str, str] # (auth_fp, account, home, refs_fp)
_CACHE: Dict[_CacheKey, CachedFetch] = {}
_DISK_CACHE_BASENAME = "op_cache.json"
def _disk_key_str(cache_key: _CacheKey) -> str:
"""Serialize a cache key for on-disk storage, omitting home_path.
The disk file is already partitioned by home (it lives under
``<home>/cache/``), so the path provides the home dimension; folding it
into the key string too would be redundant.
"""
auth_fp, account, _home, refs_fp = cache_key
return f"{auth_fp}|{account}|{refs_fp}"
_DISK_CACHE: DiskCache = DiskCache(
_DISK_CACHE_BASENAME, key_serializer=_disk_key_str
)
def _disk_cache_path(home_path: Optional[Path] = None) -> Path:
"""Path to the on-disk cache (exposed for tests and direct callers)."""
return _DISK_CACHE.path(home_path)
# ---------------------------------------------------------------------------
# Reference validation + fingerprinting
# ---------------------------------------------------------------------------
def _validate_references(
references: Optional[Dict[str, str]],
) -> Tuple[Dict[str, str], List[str]]:
"""Return ``(valid_refs, warnings)`` from an ``env`` mapping.
A reference is kept only if its target env-var name is a valid POSIX
name and the value is a stripped ``op://`` reference string. Everything
else produces a warning and is dropped (never fatal).
"""
valid: Dict[str, str] = {}
warnings: List[str] = []
for name, ref in (references or {}).items():
if not is_valid_env_name(name):
warnings.append(f"Skipping {name!r}: not a valid env-var name")
continue
if not isinstance(ref, str):
warnings.append(f"Skipping {name!r}: reference is not a string")
continue
cleaned = ref.strip()
if not cleaned.startswith("op://"):
warnings.append(
f"Skipping {name!r}: {ref!r} is not an op:// secret reference"
)
continue
valid[name] = cleaned
return valid, warnings
def _auth_fingerprint(token_env: str) -> str:
"""SHA-256 prefix over the auth material `op` would use.
Folds in the service-account token, ``OP_ACCOUNT``, and *all*
``OP_SESSION_*`` vars (the names `op` actually exports for interactive
sessions ``OP_SESSION_<account_shorthand>``). Signing out and into a
different identity therefore changes the cache key, so a value cached under
a previous identity is never served under a new one. Never logged or
displayed; the raw token never leaves this hash.
"""
parts: List[str] = [
f"token={os.environ.get(token_env, '')}",
f"account={os.environ.get('OP_ACCOUNT', '')}",
]
for key in sorted(os.environ):
if key.startswith("OP_SESSION_"):
parts.append(f"{key}={os.environ[key]}")
material = "\n".join(parts)
return hashlib.sha256(material.encode("utf-8")).hexdigest()[:16]
def _refs_fingerprint(references: Dict[str, str]) -> str:
"""SHA-256 prefix over the configured name→reference mapping."""
material = "\n".join(f"{name}={references[name]}" for name in sorted(references))
return hashlib.sha256(material.encode("utf-8")).hexdigest()[:16]
# ---------------------------------------------------------------------------
# Binary discovery
# ---------------------------------------------------------------------------
def find_op(binary_path: str = "") -> Optional[Path]:
"""Resolve a usable ``op`` binary, or None.
When ``binary_path`` is set it is used verbatim and PATH is NOT consulted
pinning an absolute path is a way to avoid trusting whatever ``op`` shows
up first on ``PATH``. A pinned-but-missing path returns None (the caller
surfaces a clear error) rather than silently falling back.
"""
if binary_path:
pinned = Path(binary_path)
if pinned.exists() and os.access(pinned, os.X_OK):
return pinned
return None
found = shutil.which("op")
return Path(found) if found else None
# ---------------------------------------------------------------------------
# `op read` invocation
# ---------------------------------------------------------------------------
def _scrub(text: str) -> str:
"""Remove ANSI control sequences and trim, for safe message surfacing."""
return _ANSI_CSI_RE.sub("", text).replace("\x1b", "").strip()
def _op_child_env(token_value: str) -> Dict[str, str]:
"""Build a minimal allowlisted environment for the ``op`` child process."""
env: Dict[str, str] = {}
for key in _OP_ENV_ALLOWLIST:
val = os.environ.get(key)
if val is not None:
env[key] = val
# Desktop / interactive session credentials.
for key, val in os.environ.items():
if key.startswith("OP_SESSION_"):
env[key] = val
# `op` reads OP_SERVICE_ACCOUNT_TOKEN regardless of which env var the user
# configured Hermes to source it from, so normalize to that name here.
if token_value:
env["OP_SERVICE_ACCOUNT_TOKEN"] = token_value
env["NO_COLOR"] = "1"
return env
def _run_op_read(
op: Path,
reference: str,
*,
account: str = "",
token_value: str = "",
) -> str:
"""Resolve a single ``op://`` reference to its value.
Raises :class:`RuntimeError` on any failure including a ``returncode 0``
with empty output, which would otherwise silently clobber a good
``.env``/shell credential with ``""``.
"""
cmd: List[str] = [str(op), "read"]
if account:
cmd += ["--account", account]
# `--` terminates option parsing so a reference can never be mis-parsed as
# an `op` flag even if validation is ever loosened.
cmd += ["--", reference]
try:
proc = subprocess.run( # noqa: S603 — op path is user-trusted, argv list
cmd,
env=_op_child_env(token_value),
capture_output=True,
text=True,
encoding="utf-8",
errors="replace",
timeout=_OP_RUN_TIMEOUT,
)
except subprocess.TimeoutExpired as exc:
raise RuntimeError(
f"op read timed out after {_OP_RUN_TIMEOUT}s for {reference!r}"
) from exc
except OSError as exc:
raise RuntimeError(f"failed to invoke op: {exc}") from exc
if proc.returncode != 0:
err = _scrub(proc.stderr or "")[:200]
if err:
raise RuntimeError(f"op read failed for {reference!r}: {err}")
raise RuntimeError(
f"op read exited {proc.returncode} for {reference!r}"
)
# `op` appends a trailing newline; strip only that so a value with
# intentional internal/edge spaces survives. But a value that is empty or
# whitespace-only is treated as empty: applying it would silently clobber a
# good .env/shell credential with effectively nothing.
value = (proc.stdout or "").rstrip("\r\n")
if not value.strip():
raise RuntimeError(f"op read returned an empty value for {reference!r}")
return value
# ---------------------------------------------------------------------------
# Fetch
# ---------------------------------------------------------------------------
def fetch_onepassword_secrets(
*,
references: Dict[str, str],
account: str = "",
token_env: str = _DEFAULT_TOKEN_ENV,
binary: Optional[Path] = None,
binary_path: str = "",
use_cache: bool = True,
cache_ttl_seconds: float = 300,
home_path: Optional[Path] = None,
) -> Tuple[Dict[str, str], List[str]]:
"""Resolve ``references`` (name → ``op://…``) to ``(secrets, warnings)``.
Raises :class:`RuntimeError` only when no ``op`` binary is available a
fatal "can't fetch anything" condition. Per-reference failures (expired
auth, bad reference, empty value) are collected as warnings and the
reference is dropped, so one bad entry never sinks the rest.
Only a complete, error-free pull is cached, so a transient auth failure
isn't frozen in for the whole TTL window.
"""
valid, warnings = _validate_references(references)
if not valid:
return {}, warnings
token_value = os.environ.get(token_env, "").strip()
cache_key: _CacheKey = (
_auth_fingerprint(token_env),
account or "",
str(home_path) if home_path is not None else "",
_refs_fingerprint(valid),
)
if use_cache:
cached = _CACHE.get(cache_key)
if cached and cached.is_fresh(cache_ttl_seconds):
return dict(cached.secrets), warnings
disk_cached = _DISK_CACHE.read(cache_key, cache_ttl_seconds, home_path)
if disk_cached is not None:
# Promote into L1 so later fetches in this process skip the disk read.
_CACHE[cache_key] = disk_cached
return dict(disk_cached.secrets), warnings
op = binary or find_op(binary_path)
if op is None:
raise RuntimeError(
"op CLI not found. Install the 1Password CLI "
"(https://developer.1password.com/docs/cli/get-started/) or set "
"secrets.onepassword.binary_path to its absolute location."
)
secrets: Dict[str, str] = {}
read_errors = 0
for name in sorted(valid):
try:
secrets[name] = _run_op_read(
op, valid[name], account=account, token_value=token_value
)
except RuntimeError as exc:
warnings.append(str(exc))
read_errors += 1
if use_cache and not read_errors and secrets:
entry = CachedFetch(secrets=dict(secrets), fetched_at=time.time())
_CACHE[cache_key] = entry
_DISK_CACHE.write(cache_key, entry, cache_ttl_seconds, home_path)
return secrets, warnings
# ---------------------------------------------------------------------------
# Public entry point — called from hermes_cli.env_loader
# ---------------------------------------------------------------------------
def apply_onepassword_secrets(
*,
enabled: bool,
env: Optional[Dict[str, str]] = None,
account: str = "",
service_account_token_env: str = _DEFAULT_TOKEN_ENV,
binary_path: str = "",
override_existing: bool = True,
cache_ttl_seconds: float = 300,
home_path: Optional[Path] = None,
) -> FetchResult:
"""Resolve configured ``op://`` references and set them on ``os.environ``.
Called by ``load_hermes_dotenv()`` after the .env files have loaded.
Intentionally defensive any failure returns a :class:`FetchResult` with
``error`` set (or surfaces warnings); it never raises.
Parameters mirror the ``secrets.onepassword.*`` config keys so the caller
can splat the dict in. References that are already satisfied by the
current environment (when ``override_existing`` is false) are skipped
*before* fetching, so ``op`` is never invoked for a value that would be
discarded.
"""
result = FetchResult()
if not enabled:
return result
valid, warnings = _validate_references(env)
result.warnings.extend(warnings)
# Skip-before-fetch: never resolve a reference we'd only throw away.
refs_to_fetch: Dict[str, str] = {}
for name, ref in valid.items():
if name == service_account_token_env:
# Never let a resolved secret clobber the very token used to auth.
result.skipped.append(name)
continue
if not override_existing and os.environ.get(name):
result.skipped.append(name)
continue
refs_to_fetch[name] = ref
if not refs_to_fetch:
return result
binary = find_op(binary_path)
result.binary_path = binary
if binary is None:
if binary_path:
result.error = (
f"secrets.onepassword.binary_path ({binary_path!r}) is not an "
"executable op binary."
)
else:
result.error = (
"secrets.onepassword.enabled is true but the op CLI was not "
"found on PATH. Install it "
"(https://developer.1password.com/docs/cli/get-started/) or set "
"secrets.onepassword.binary_path."
)
return result
try:
secrets, fetch_warnings = fetch_onepassword_secrets(
references=refs_to_fetch,
account=account,
token_env=service_account_token_env,
binary=binary,
cache_ttl_seconds=cache_ttl_seconds,
home_path=home_path,
)
except RuntimeError as exc:
result.error = str(exc)
return result
result.secrets = secrets
result.warnings.extend(fetch_warnings)
for name, value in secrets.items():
# The token-var and override guards already filtered refs_to_fetch, but
# re-check defensively in case the fetch layer ever returns extras.
if name == service_account_token_env:
if name not in result.skipped:
result.skipped.append(name)
continue
if not override_existing and os.environ.get(name):
if name not in result.skipped:
result.skipped.append(name)
continue
os.environ[name] = value
result.applied.append(name)
return result
# ---------------------------------------------------------------------------
# SecretSource adapter — the registry-facing wrapper around this module.
# ---------------------------------------------------------------------------
class OnePasswordSource(SecretSource):
"""1Password as a registered secret source.
Thin adapter over the module's fetch machinery. ``fetch()`` only
*fetches* precedence, override semantics, conflict warnings, and
the ``os.environ`` writes are the orchestrator's job
(see ``agent.secret_sources.registry.apply_all``).
1Password is a **mapped** source: the user explicitly binds each env
var to an ``op://`` reference under ``secrets.onepassword.env``, so
its claims outrank bulk sources (e.g. a Bitwarden project dump) on
contested vars.
"""
name = "onepassword"
label = "1Password"
shape = "mapped"
scheme = "op"
def override_existing(self, cfg: dict) -> bool:
# Default True: an explicit VAR→op:// binding is the strongest
# user intent there is — leaving a stale .env line in place
# should not silently defeat it (same rotation rationale as
# Bitwarden).
return bool(isinstance(cfg, dict) and cfg.get("override_existing", True))
def protected_env_vars(self, cfg: dict):
token_env = _DEFAULT_TOKEN_ENV
if isinstance(cfg, dict):
token_env = str(cfg.get("service_account_token_env") or token_env)
return frozenset({token_env})
def config_schema(self) -> dict:
return {
"enabled": {"description": "Master switch", "default": False},
"env": {
"description": "Map of ENV_VAR -> op://vault/item/field reference",
"default": {},
},
"account": {
"description": "op --account shorthand (empty = default account)",
"default": "",
},
"service_account_token_env": {
"description": "Env var holding the service-account token "
"(unset = desktop/interactive session)",
"default": _DEFAULT_TOKEN_ENV,
},
"binary_path": {
"description": "Pin the op binary (empty = resolve via PATH)",
"default": "",
},
"cache_ttl_seconds": {
"description": "Disk+memory cache TTL; 0 disables",
"default": 300,
},
"override_existing": {
"description": "Resolved values overwrite .env/shell values",
"default": True,
},
}
def fetch(self, cfg: dict, home_path: Path) -> FetchResult:
cfg = cfg if isinstance(cfg, dict) else {}
result = FetchResult()
env_map = cfg.get("env")
valid, warnings = _validate_references(
env_map if isinstance(env_map, dict) else None
)
result.warnings.extend(warnings)
if not valid:
if not warnings:
result.error = (
"secrets.onepassword.enabled is true but the env: map is "
"empty. Add ENV_VAR: op://vault/item/field entries."
)
result.error_kind = ErrorKind.NOT_CONFIGURED
return result
binary_path = str(cfg.get("binary_path") or "")
binary = find_op(binary_path)
result.binary_path = binary
if binary is None:
if binary_path:
result.error = (
f"secrets.onepassword.binary_path ({binary_path!r}) is "
"not an executable op binary."
)
else:
result.error = (
"secrets.onepassword.enabled is true but the op CLI was "
"not found on PATH. Install it "
"(https://developer.1password.com/docs/cli/get-started/) "
"or set secrets.onepassword.binary_path."
)
result.error_kind = ErrorKind.BINARY_MISSING
return result
try:
ttl = float(cfg.get("cache_ttl_seconds", 300))
except (TypeError, ValueError):
ttl = 300.0
try:
secrets, fetch_warnings = fetch_onepassword_secrets(
references=valid,
account=str(cfg.get("account") or ""),
token_env=str(
cfg.get("service_account_token_env") or _DEFAULT_TOKEN_ENV
),
binary=binary,
cache_ttl_seconds=ttl,
home_path=home_path,
)
except RuntimeError as exc:
result.error = str(exc)
result.error_kind = _classify_op_error(str(exc))
return result
result.secrets = secrets
result.warnings.extend(fetch_warnings)
return result
def _classify_op_error(message: str) -> ErrorKind:
"""Best-effort mapping of op failure text onto the shared taxonomy."""
lowered = message.lower()
if "timed out" in lowered:
return ErrorKind.TIMEOUT
if "not found on path" in lowered or "not an executable" in lowered \
or "failed to invoke" in lowered:
return ErrorKind.BINARY_MISSING
if any(tok in lowered for tok in ("unauthorized", "not signed in",
"session expired", "authentication",
"401", "403")):
return ErrorKind.AUTH_FAILED
if "empty value" in lowered:
return ErrorKind.EMPTY_VALUE
if any(tok in lowered for tok in ("network", "connection", "resolve host",
"dns")):
return ErrorKind.NETWORK
return ErrorKind.INTERNAL
# ---------------------------------------------------------------------------
# Test hook — used by hermetic tests to flush the cache between cases.
# ---------------------------------------------------------------------------
def _reset_cache_for_tests(home_path: Optional[Path] = None) -> None:
"""Clear in-process AND disk caches.
Tests can pass ``home_path`` to scope the disk cleanup to a tmpdir.
Without it we fall back to the same default resolution as the writer.
"""
_CACHE.clear()
_DISK_CACHE.clear(home_path)
-370
View File
@@ -1,370 +0,0 @@
"""Secret-source registry + apply orchestrator.
This module owns everything that must be uniform across secret backends
so no individual source can get it wrong:
* registration (name/scheme uniqueness, API-version gating)
* per-source wall-clock timeout enforcement around ``fetch()``
* precedence: mapped sources beat bulk sources; within a shape,
``secrets.sources`` order (or registration order) decides; first
claim wins later sources never silently clobber an earlier one
* ``override_existing`` semantics (may beat .env/shell, never another
secret source, never a protected var)
* cross-source conflict warnings (shadowed claims are always surfaced)
* provenance: which source supplied every applied var
The single entry point for startup is :func:`apply_all`, called from
``hermes_cli.env_loader._apply_external_secret_sources()``.
Plugins register additional sources via
``PluginContext.register_secret_source()`` which lands in
:func:`register_source`. In-tree sources are registered lazily by
:func:`_ensure_builtin_sources` the set of bundled sources is
deliberately closed (Bitwarden, and 1Password once it lands); new
third-party backends ship as standalone plugin repos implementing
:class:`agent.secret_sources.base.SecretSource`.
"""
from __future__ import annotations
import concurrent.futures
import logging
from dataclasses import dataclass, field
from pathlib import Path
from typing import Dict, List, Optional
from agent.secret_sources.base import (
SECRET_SOURCE_API_VERSION,
ErrorKind,
FetchResult,
SecretSource,
is_valid_env_name,
)
logger = logging.getLogger(__name__)
# Ordered registry: name → source instance. Python dicts preserve
# insertion order, which doubles as the default apply order.
_SOURCES: Dict[str, SecretSource] = {}
_BUILTINS_LOADED = False
@dataclass
class AppliedVar:
"""Provenance record for one env var the orchestrator set."""
name: str
source: str # SecretSource.name
shape: str # "mapped" | "bulk"
overrode_env: bool # replaced a pre-existing .env/shell value
@dataclass
class SourceReport:
"""One source's outcome within an :class:`ApplyReport`."""
name: str
label: str
result: FetchResult
applied: List[str] = field(default_factory=list)
skipped_existing: List[str] = field(default_factory=list) # .env/shell won
skipped_claimed: List[str] = field(default_factory=list) # earlier source won
skipped_protected: List[str] = field(default_factory=list) # bootstrap-auth guard
skipped_invalid: List[str] = field(default_factory=list) # bad env-var name
@dataclass
class ApplyReport:
"""Merged outcome of one orchestrated apply pass."""
sources: List[SourceReport] = field(default_factory=list)
provenance: Dict[str, AppliedVar] = field(default_factory=dict)
conflicts: List[str] = field(default_factory=list) # human-readable warnings
@property
def applied_any(self) -> bool:
return bool(self.provenance)
# ---------------------------------------------------------------------------
# Registration
# ---------------------------------------------------------------------------
def register_source(source: SecretSource, *, replace: bool = False) -> bool:
"""Register a secret source. Returns True on success.
Rejections are logged, never raised a bad plugin must not take
down startup. ``replace`` allows tests / user plugins to override
a bundled source of the same name (last-writer-wins like model
providers), but scheme collisions across *different* names are
always rejected.
"""
if not isinstance(source, SecretSource):
logger.warning(
"Ignoring secret source %r: does not inherit from SecretSource",
source,
)
return False
name = getattr(source, "name", "") or ""
if not name or not name.replace("_", "").isalnum() or name != name.lower():
logger.warning("Ignoring secret source with invalid name %r", name)
return False
if getattr(source, "api_version", None) != SECRET_SOURCE_API_VERSION:
logger.warning(
"Ignoring secret source '%s': built against secret-source API v%s, "
"this Hermes speaks v%s",
name, getattr(source, "api_version", "?"), SECRET_SOURCE_API_VERSION,
)
return False
if getattr(source, "shape", None) not in ("mapped", "bulk"):
logger.warning(
"Ignoring secret source '%s': shape must be 'mapped' or 'bulk', got %r",
name, getattr(source, "shape", None),
)
return False
if name in _SOURCES and not replace:
logger.warning("Secret source '%s' already registered; ignoring duplicate", name)
return False
scheme = getattr(source, "scheme", None)
if scheme:
for other_name, other in _SOURCES.items():
if other_name != name and getattr(other, "scheme", None) == scheme:
logger.warning(
"Ignoring secret source '%s': scheme '%s://' is already "
"owned by source '%s'",
name, scheme, other_name,
)
return False
_SOURCES[name] = source
return True
def get_source(name: str) -> Optional[SecretSource]:
_ensure_builtin_sources()
return _SOURCES.get(name)
def list_sources() -> List[SecretSource]:
_ensure_builtin_sources()
return list(_SOURCES.values())
def _ensure_builtin_sources() -> None:
"""Idempotently register the bundled sources.
Lazy so importing this module stays cheap and so a broken bundled
source can never break registration of the others.
"""
global _BUILTINS_LOADED
if _BUILTINS_LOADED:
return
_BUILTINS_LOADED = True
try:
from agent.secret_sources.bitwarden import BitwardenSource
register_source(BitwardenSource())
except Exception: # noqa: BLE001 — never block startup
logger.warning("Failed to register bundled Bitwarden secret source",
exc_info=True)
try:
from agent.secret_sources.onepassword import OnePasswordSource
register_source(OnePasswordSource())
except Exception: # noqa: BLE001 — never block startup
logger.warning("Failed to register bundled 1Password secret source",
exc_info=True)
def _reset_registry_for_tests() -> None:
global _BUILTINS_LOADED
_SOURCES.clear()
_BUILTINS_LOADED = False
# ---------------------------------------------------------------------------
# Orchestrated apply
# ---------------------------------------------------------------------------
def _fetch_with_timeout(
source: SecretSource, cfg: dict, home_path: Path
) -> FetchResult:
"""Run source.fetch() under a wall-clock budget; never raises.
The budget is enforced with a daemon worker thread: a source that
blows its budget is reported as ``TIMEOUT`` and its (eventual)
result is discarded. The thread itself may linger until process
exit acceptable for a startup-only path, and strictly better than
an unbounded hang on every ``hermes`` invocation.
"""
timeout = source.fetch_timeout_seconds(cfg)
executor = concurrent.futures.ThreadPoolExecutor(
max_workers=1, thread_name_prefix=f"secret-src-{source.name}"
)
try:
future = executor.submit(source.fetch, cfg, home_path)
try:
result = future.result(timeout=timeout)
except concurrent.futures.TimeoutError:
future.cancel()
res = FetchResult()
res.error = (
f"fetch exceeded {timeout:.0f}s budget — startup continued "
"without this source (raise secrets."
f"{source.name}.timeout_seconds if the backend is just slow)"
)
res.error_kind = ErrorKind.TIMEOUT
return res
except Exception as exc: # noqa: BLE001 — contract violation, contain it
res = FetchResult()
res.error = f"fetch raised {type(exc).__name__}: {exc}"
res.error_kind = ErrorKind.INTERNAL
return res
finally:
executor.shutdown(wait=False)
if not isinstance(result, FetchResult):
res = FetchResult()
res.error = (
f"fetch returned {type(result).__name__} instead of FetchResult"
)
res.error_kind = ErrorKind.INTERNAL
return res
return result
def _ordered_enabled_sources(secrets_cfg: dict) -> List[SecretSource]:
"""Resolve which sources run, in which order.
Order: the optional ``secrets.sources`` list wins; sources not named
there follow in registration order. Enabled = the source's own
``is_enabled`` says so for its config section. Mapped-vs-bulk
precedence is applied on top of this order by :func:`apply_all`.
"""
_ensure_builtin_sources()
explicit = secrets_cfg.get("sources")
order: List[str] = []
if isinstance(explicit, list):
for entry in explicit:
if isinstance(entry, str) and entry in _SOURCES and entry not in order:
order.append(entry)
unknown = [e for e in explicit
if isinstance(e, str) and e not in _SOURCES]
if unknown:
logger.warning(
"secrets.sources names unknown source(s): %s (known: %s)",
", ".join(unknown), ", ".join(_SOURCES) or "none",
)
for name in _SOURCES:
if name not in order:
order.append(name)
enabled: List[SecretSource] = []
for name in order:
source = _SOURCES[name]
cfg = secrets_cfg.get(name)
cfg = cfg if isinstance(cfg, dict) else {}
try:
if source.is_enabled(cfg):
enabled.append(source)
except Exception: # noqa: BLE001
logger.warning("Secret source '%s' is_enabled() raised; skipping",
name, exc_info=True)
return enabled
def apply_all(secrets_cfg: dict, home_path: Path,
environ: Optional[Dict[str, str]] = None) -> ApplyReport:
"""Fetch from every enabled source and apply the merged result to env.
``environ`` defaults to ``os.environ``; injectable for tests.
Precedence per env var (most-specific intent wins):
1. Pre-existing env (.env / shell) unless the winning source has
``override_existing: true``.
2. Mapped sources, in configured order.
3. Bulk sources, in configured order.
First claim wins. A later source that also carries the var gets a
``skipped_claimed`` entry and a conflict warning never a silent
clobber, and ``override_existing`` never applies across sources.
"""
import os as _os
env = environ if environ is not None else _os.environ
report = ApplyReport()
secrets_cfg = secrets_cfg if isinstance(secrets_cfg, dict) else {}
enabled = _ordered_enabled_sources(secrets_cfg)
if not enabled:
return report
# Mapped sources outrank bulk sources regardless of list order:
# an explicit VAR→ref binding is stronger intent than a project dump.
ordered = ([s for s in enabled if s.shape == "mapped"]
+ [s for s in enabled if s.shape == "bulk"])
# Fetch phase.
fetches: List[tuple[SecretSource, dict, FetchResult]] = []
protected: Dict[str, str] = {} # var → source that protects it
for source in ordered:
cfg = secrets_cfg.get(source.name)
cfg = cfg if isinstance(cfg, dict) else {}
result = _fetch_with_timeout(source, cfg, home_path)
fetches.append((source, cfg, result))
try:
for var in source.protected_env_vars(cfg):
protected.setdefault(var, source.name)
except Exception: # noqa: BLE001
pass
# Apply phase — sequential, first-wins, fully attributed.
claimed: Dict[str, str] = {} # var → source name that won it
for source, cfg, result in fetches:
sr = SourceReport(name=source.name,
label=source.label or source.name,
result=result)
report.sources.append(sr)
if not result.ok:
continue
try:
override = source.override_existing(cfg)
except Exception: # noqa: BLE001
override = False
for var, value in result.secrets.items():
if not isinstance(var, str) or not isinstance(value, str):
continue
if not is_valid_env_name(var):
sr.skipped_invalid.append(var)
continue
if var in protected:
sr.skipped_protected.append(var)
continue
if var in claimed:
sr.skipped_claimed.append(var)
report.conflicts.append(
f"{var}: kept value from {claimed[var]}; "
f"{source.name} also supplies it (first source wins — "
"remove one binding or reorder secrets.sources)"
)
continue
existed = bool(env.get(var))
if existed and not override:
sr.skipped_existing.append(var)
continue
env[var] = value
claimed[var] = source.name
sr.applied.append(var)
report.provenance[var] = AppliedVar(
name=var,
source=source.name,
shape=source.shape,
overrode_env=existed,
)
return report

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