The artifacts scan used rglob and filtered after descending, so a home directory
workspace walked into ~/Library and triggered the macOS App Data consent prompt on
every turn. Walk with pruning instead, and skip Library / AppData in search too.
The composer chip now shows the session total by default, with the context window
bar behind a Settings toggle.
Follow up to #290. Add RFC 6598 shared space (100.64.0.0/10, used by
Tailscale) to the address guard, and run the same guard on the Playwright
browser_open_url before navigating.
The live smoke exposed a harness trap: driving each turn through its own
asyncio.run() binds the engine asyncio primitives to the first loop, and
every later stream silently takes the interrupted path - full provider
replies persisted as empty assistant messages. The scripted smoke had
the same latent artifact and did not assert reply content, so it stayed
green. Now the whole scenario runs on ONE loop (like the real server)
and every turn asserts a real reply.
A long multi-turn session driven through the real SessionManager with a
forced 3k-token cap: repeated compactions advance the boundary, later
summaries fold the previous one in, the provider verifiably receives the
compacted view (summary block + verbatim tail, bounded) while the
canonical transcript keeps every turn, state survives a mid-conversation
rebuild, and the persisted record round-trips the final boundary.
Scripted stand-in for the live-model smoke: intent survival across a
real summarizer (prompt tuning) still needs a configured provider key.
Settings -> Models grows a Context compaction card next to Token savings:
the trigger % of the context window (10-95), the absolute token cap
(clamped 10k-2M), and the summarizer-model pin (default: the session's
own model). POST /v1/settings/compaction persists them; engines read the
knobs live per check, so changes apply to running sessions immediately.
The "context compacted" divider rides the existing notice machinery: the
persisted `compacted` notice replays on reload (itemsFromMessages) and
the live COMPACTED event appends the same info notice mid-turn. The
transcript itself stays intact - outbound-only by construction.
Covered by vitest (marker replay), a settings-card e2e (defaults +
clamped POSTs + model pin), and a mid-session divider e2e driven by the
fixtures' scripted `compacted` event.
Minimal engine footprint: a checkpoint at each iteration top (between tool
turns and before a new turn), the usage signal captured per round-trip
(context_tokens; chars/4 estimate when never reported), and
_outbound_messages consulting the boundary. The summarizer runs off-loop
through the normal provider router, so the Settings model pin is just an
id.
Failure policy per spec: retry once in both modes; attended sessions get
the Retry / Trim-oldest-10% prompt (via the ask_user plumbing, gated by an
is_attended callback the WS surface wires); unattended runs auto-trim and
continue — never parked on internal bookkeeping. Raw context-overflow 400s
from the main model route into the same policy, progress-guarded so a
still-overflowing model terminates in the error path.
CompactionState persists on the session record (new sqlite column, same
defensive parse as grants), so reloads keep the compacted view. A
persisted compacted notice + a new COMPACTED event mark the spot for
the GUI divider (rendered in commit 3).
Trigger math (usage signal, chars/4 estimate fallback, min(80% x window,
250k cap) with overridable knobs), boundary picking that never splits a
turn (user-message starts preferred, iteration starts inside a giant tool
loop), the 8-section summarizer prompt with the continuation contract,
mechanical working-state extraction from tool records, deterministic
user-message preservation, the trim-oldest fallback, outbound-view
application, and context-overflow detection. Injectable provider seam;
no engine changes yet.
web_fetch and browser_read_url take a URL straight from the model. The model's
input is untrusted by design - both tools' own descriptions call fetched
content "data to evaluate, not instructions" - and web_fetch is
requires_approval=False, so nothing prompts the user before the request goes
out.
Neither validated the address. Verified against a scratch server on loopback:
web_fetch("http://127.0.0.1:9931/")
-> {"text": "Directory listing for /\n.git/\n.github/..."}
No prompt, no error. The same call reaches http://169.254.169.254/ for cloud
metadata when OpenWorker runs on a VM, an Ollama instance on :11434, or any
service on the user's LAN. It cannot reach OpenWorker's own sidecar, which
requires COWORKER_API_TOKEN.
Adds coworker/web/guard.py: resolve the host and refuse when any answer lands
in loopback, private, link-local (which covers the metadata endpoint),
multicast or reserved space. Checking every resolved address means a name with
one public and one private A record is refused rather than raced.
Redirects are the usual bypass, so follow_redirects is off and the chain is
walked here with each hop checked before it is requested. _request grows an
opt-in check_addresses flag used only by browser_read_url; the hardcoded vendor
endpoints the rest of the connectors call skip the guard and its DNS lookup.
Not covered, and stated in the module docstring: DNS rebinding. The name is
resolved by the guard and again by the client when it connects, so a near-zero
TTL record can change in between. Closing that needs connection-level IP
pinning. The hop check is the cheap 90%.
Tests: tests/test_url_address_guard.py - literals, IPv4-mapped IPv6 loopback,
names resolving into private space, split-horizon answers, non-http schemes,
redirect into loopback proven not to be requested, and a bounded redirect
loop.
Two ephemeral breakpoints per request (last system block, final message's
last block) so append-only history re-reads the prior turns' cache;
outbound-only, persisted history stays clean.
Quiet chip (context-fill meter + session total) opening a per-model
input/output/cache breakdown popover; accumulation from live events,
rebuilt from persisted sidecars on load; unit + e2e coverage.
Normalized TokenUsage (input/output/cache split) captured in every provider's
stream and complete paths, persisted as an assistant-message sidecar and sent
on the assistant_message event; matrix gains verified context-window sizes.
Model listing 403/404s under plain ADC; countTokens is free and proves
project+location+API in one call. Verified live: Gemini (global), Qwen MaaS (us-south1).
Segmented track + inset per-method panel with its own Test & save footer.
Vertex gains the same treatment: Google Cloud login (default), service account,
and API key (express mode, Gemini-only with a clear error elsewhere).
Untrusted repos must not define stdio MCP servers that spawn at session open. Skip <.coworker/mcp.json> until the workspace is trusted, matching allowed_commands consent.
Fixes#213
'Connect with' segmented choice (API key / profile / IAM keys) shows only that
method's fields; non-selected fields are dropped at build so stale values can't leak.
New optional field: paste the console-generated key, no CLI/IAM setup needed.
Takes precedence over SigV4 credentials, matching boto3; live-tested on Converse.
resolve_from_reply decided allow/deny with 'in' checks on the whole message,
so "disallow" resolved as allow (checked first, and it contains "allow") and
replies containing words like "note" or "not" resolved as deny instead of
being recorded as free-text answers. Since this gates parked unattended
actions, a false allow is the worst-case direction.
Keyword intent now requires word boundaries (with the common -d forms added);
emoji checks stay as substring matches. Anything that matches neither list
falls through to the existing free-text path, which records the reply verbatim
instead of acting on it.
Test button and saved pill follow the required-secret field (or the first field for
cloud providers); Bedrock/Vertex add-model rows get a family selector.
gemini/ and claude/ ids reuse the native providers; openweight/ goes through the
MaaS OpenAI-compat endpoint with an auto-refreshed google-auth bearer.
Credentials: service-account JSON or Application Default Credentials.
claude/ ids use Anthropic's native Bedrock client; everything else goes via Converse.
Credentials: explicit keys, named profile (incl. SSO), or the ambient AWS chain.
Rohit C Prasad