mirror of
https://github.com/andrewyng/openworker.git
synced 2026-09-04 07:20:10 +00:00
505 lines
25 KiB
Python
505 lines
25 KiB
Python
"""Engine assembly from an Agent (Code / Chat / …).
|
|
|
|
Wires the agent's base tools + permissions + AGENTS.md (workspace agents) + memory +
|
|
the skill catalog (progressive disclosure) + load_skill into a TurnEngine.
|
|
"""
|
|
|
|
from __future__ import annotations
|
|
|
|
from pathlib import Path
|
|
from typing import Any, Callable, Optional
|
|
|
|
from .agents import Agent, AgentContext, code_agent
|
|
from .automation import scheduling_tools
|
|
from .selfwake import selfwake_tools
|
|
from .subscriptions import subscription_tools
|
|
from .config import load_config
|
|
from .connectors import (
|
|
connector_list,
|
|
load_settings,
|
|
make_integration_tools,
|
|
make_send_file_tool,
|
|
make_send_message_tool,
|
|
)
|
|
from .engine import Approver, TurnEngine
|
|
from .environment import environment_context
|
|
from .memory import (
|
|
MemoryStore,
|
|
Scope,
|
|
format_user_rules,
|
|
memory_tools,
|
|
render_memory_block,
|
|
)
|
|
from .permissions import Mode, PermissionEngine
|
|
from .project import load_agents_md
|
|
from .roots import RootDir, normalize_roots, render_context
|
|
from .providers import ProviderClient, ProviderRouter
|
|
from .overrides import RiskOverrideStore
|
|
from .secrets import SecretStore, state_dir
|
|
from .skills import SkillLoader, save_skill_tool, skill_catalog_text, skill_tools
|
|
from .tools import ToolRegistry
|
|
from .tools.ask import ask_user_tool
|
|
from .tools.directories import request_directory_tool
|
|
from .tools.plan import propose_plan_tool
|
|
from .tools.subagent import explorer_tools
|
|
from .web import make_web_fetch_tool, make_web_search_tool
|
|
from .workspace_trust import WorkspaceTrustStore
|
|
from .tools.shell import LocalExecutor
|
|
from .tools.todo import TodoList
|
|
|
|
# Appended each turn while discuss mode is active: enforcement-only read-only, with no
|
|
# pressure toward a plan proposal (that's what distinguishes it from plan mode).
|
|
_DISCUSS_MODE_CONTEXT = """\
|
|
Discuss mode is active: write and shell tools are disabled. Explore and answer freely; if
|
|
the user asks for a change, describe it in chat instead of attempting it (they can switch
|
|
to plan or approval mode to have you make it)."""
|
|
|
|
# Appended to the latest user message every turn while plan mode is active. The mode can
|
|
# flip mid-session (plan approval), so this can't live in the static instructions.
|
|
_PLAN_MODE_CONTEXT = """\
|
|
Plan mode is active: write and shell tools are blocked. Explore read-only and design an
|
|
approach. When you've committed to one, present it with `propose_plan` (what you'll change,
|
|
in which files, how you'll verify) — don't describe edits as if you were making them. If
|
|
the plan is approved, this same session switches to execution and you implement it; if
|
|
rejected, revise the plan using the feedback."""
|
|
|
|
# When-to-remember rules (MEMORY-SPEC §4.2), injected only when a memory store is wired.
|
|
# Without these, models either never call `remember` or save noise the repo already
|
|
# records. The conservative bias is deliberate: a wrong memory feels broken and creepy at
|
|
# once; a missing one merely means the user repeats themselves.
|
|
_MEMORY_GUIDANCE = """\
|
|
Memory:
|
|
- You have persistent memory across sessions. Use `remember` for durable facts: the user's \
|
|
corrections and stated preferences (include the why), and project context you couldn't \
|
|
rederive from the code. Scope by what the fact is about: facts about the user -> "global"; \
|
|
facts about the current work -> "workspace". Always pass a one-line summary (15 words max) \
|
|
alongside the full content.
|
|
- Save conservatively — a wrong memory costs more than a missing one. Save only clearly \
|
|
durable facts ("from now on", "always", "in all my chats"). Ambiguous one-off phrasing \
|
|
("I prefer simple talking"): apply it now, don't save it. But when the user explicitly \
|
|
asks you to remember something, always save it.
|
|
- Sensitive topics (health, finances, relationships, beliefs): never save silently. Ask \
|
|
first — "Want me to remember this for next time?" — and save only on a yes.
|
|
- When you save, say so in one short plain sentence in your visible reply ("I'll remember \
|
|
that you prefer short replies."). And the first time a remembered fact shapes your \
|
|
behavior in a session, note it in one quiet line ("Keeping this short since you prefer \
|
|
simple replies.") — first use only, not every message.
|
|
- Don't save what the repo already records (code structure, git history, AGENTS.md) or \
|
|
details that only matter to the current task. Use absolute dates, never "yesterday".
|
|
- Before saving, check the known-memories list: if an entry already covers it, revise that \
|
|
entry with `memory_update` instead of adding a near-duplicate; retire wrong or obsolete \
|
|
entries with `memory_forget`.
|
|
- Memories reflect when they were written. If one names a file, flag, or URL, verify it \
|
|
still exists before relying on it."""
|
|
|
|
# Injected INSTEAD of the memory guidance when the user turned memory off (§4.3).
|
|
# Off means "stop LEARNING", not "forget what you know": already-saved memories stay
|
|
# injected and usable; only the write tools are gone. Without this notice the model
|
|
# bluffs — asked to "remember" with no remember tool, it narrated a fake save through
|
|
# its todo list ("I'll remember that your favorite color is blue"), observed live
|
|
# 2026-07-28. Honesty needs the model to KNOW saving is off, not just lack the tools.
|
|
_MEMORY_OFF_NOTICE = """\
|
|
Saving new memories is turned off in this user's Settings. What you already know about \
|
|
them (the known-memories list, if any) is still true and you should keep using it — but \
|
|
you have no way to save, change, or delete anything, and nothing new from this \
|
|
conversation will carry over to future ones. If the user asks you to remember something \
|
|
new, state both halves plainly: you'll keep it in mind for the rest of this conversation, \
|
|
but it won't be saved once the conversation ends — they can turn saving back on in \
|
|
Settings ▸ Memory. Never imply you saved, noted, or will remember anything new."""
|
|
|
|
# UX-015 (§33): the GUI interleaves these status lines with humanized tool rows inside a
|
|
# collapsed "turn" — they're what the user reads while the agent works. Universal (appended
|
|
# for every persona); models that ignore it degrade gracefully to a turn with no narration.
|
|
_NARRATION_GUIDANCE = """\
|
|
Narration: before each batch of tool calls, write ONE short plain sentence saying what \
|
|
you're doing and why (e.g. "Checking what merged since yesterday's digest."). It is shown \
|
|
to the user as live progress. Don't narrate trivial single-call follow-ups, don't repeat \
|
|
the previous line, and never let narration replace your final answer."""
|
|
|
|
|
|
def _enabled_connector_tools(secrets: SecretStore) -> tuple[set[str], set[str]]:
|
|
connectors = {c["name"]: c for c in connector_list(secrets)}
|
|
enabled_connectors = {
|
|
name
|
|
for name, c in connectors.items()
|
|
if c.get("connected") and c.get("enabled")
|
|
}
|
|
enabled_tools = {
|
|
tool["name"]
|
|
for c in connectors.values()
|
|
if c.get("name") in enabled_connectors
|
|
for tool in c.get("tools", [])
|
|
if tool.get("enabled")
|
|
}
|
|
return enabled_connectors, enabled_tools
|
|
|
|
|
|
def _loaded_skill_names(messages: list[dict[str, Any]]) -> set[str]:
|
|
"""Skills whose instructions successfully entered THIS conversation (a load_skill call
|
|
with a non-error result). Drives the disable countermand: a menu quietly shrinking is
|
|
passive, but instructions already in history keep steering the model unless it is
|
|
explicitly asked to stop."""
|
|
import json as _json
|
|
|
|
results: dict[str, str] = {}
|
|
for m in messages:
|
|
if m.get("role") == "tool" and m.get("tool_call_id"):
|
|
content = m.get("content")
|
|
results[m["tool_call_id"]] = (
|
|
content if isinstance(content, str) else _json.dumps(content)
|
|
)
|
|
loaded: set[str] = set()
|
|
for m in messages:
|
|
if m.get("role") != "assistant" or not m.get("tool_calls"):
|
|
continue
|
|
for tc in m["tool_calls"]:
|
|
fn = tc.get("function") or {}
|
|
if fn.get("name") != "load_skill":
|
|
continue
|
|
try:
|
|
name = str(_json.loads(fn.get("arguments") or "{}").get("name", ""))
|
|
except Exception:
|
|
continue
|
|
result = results.get(tc.get("id", ""), "")
|
|
if name and '"instructions"' in result:
|
|
loaded.add(name)
|
|
return loaded
|
|
|
|
|
|
def _skill_dirs(workspace: Optional[Path]) -> list[Path]:
|
|
dirs = [state_dir() / "skills"]
|
|
if workspace is not None:
|
|
dirs.append(workspace / ".coworker" / "skills")
|
|
return dirs
|
|
|
|
|
|
def build_engine(
|
|
*,
|
|
agent: Agent,
|
|
workspace: Optional[str | Path] = None,
|
|
model: str = "gpt-5.6-sol",
|
|
mode: Mode = Mode.INTERACTIVE,
|
|
approver: Optional[Approver] = None,
|
|
provider: Optional[ProviderClient] = None,
|
|
allowed_commands: Optional[list[str]] = None,
|
|
max_iterations: Optional[int] = None,
|
|
model_settings: Optional[dict[str, Any]] = None,
|
|
memory_store: Optional[MemoryStore] = None,
|
|
# MEMORY-SPEC §5.1: called with the MemoryItem right after `remember` persists it —
|
|
# the manager uses this to push the memory_saved event that powers the save toast.
|
|
on_memory_saved: Optional[Any] = None,
|
|
# MEMORY-SPEC §6: the user's standing rules (Settings textarea). Injected verbatim
|
|
# above auto memories; independent of the memory on/off switch. No tool writes it.
|
|
# A CALLABLE is read per turn (the server passes one so a Settings edit reaches
|
|
# conversations already open); a plain string is a fixed value for CLI/tests.
|
|
user_rules: Optional[Any] = None,
|
|
# True when the user turned memory OFF in Settings (vs. memory simply not wired):
|
|
# injects the honesty notice so the model says so instead of faking a save.
|
|
memory_off: bool = False,
|
|
# LIVE saving switch, consulted per write so turning memory off applies to
|
|
# conversations already running (the registry is fixed at build, so the tool stays
|
|
# and refuses). Same pattern as the skills menu's live filter.
|
|
memory_saving_enabled: Optional[Any] = None,
|
|
messages: Optional[list[dict[str, Any]]] = None,
|
|
extra_tools: Optional[list[Any]] = None,
|
|
secrets: Optional[SecretStore] = None,
|
|
task_store: Optional[Any] = None,
|
|
wake_store: Optional[Any] = None,
|
|
session_id: Optional[str] = None,
|
|
audit_sink: Optional[Any] = None,
|
|
roots: Optional[list] = None,
|
|
directory_requester: Optional[Any] = None,
|
|
plan_approver: Optional[Any] = None,
|
|
question_asker: Optional[Any] = None,
|
|
subscription_store: Optional[Any] = None,
|
|
channel_buffer: Optional[Any] = None,
|
|
routing_targets: Optional[list[str]] = None,
|
|
connector_filter: Optional[set[str]] = None,
|
|
# A set (static snapshot) or a zero-arg callable (live, re-evaluated per load_skill).
|
|
skill_filter: Optional[set[str] | Callable[[], set[str]]] = None,
|
|
) -> TurnEngine:
|
|
ws = Path(workspace).expanduser().resolve() if workspace else None
|
|
if agent.needs_workspace and ws is None:
|
|
raise ValueError(f"agent '{agent.name}' requires a workspace")
|
|
|
|
# The session's directories. Explicit `roots` (orphan Cowork: scratch + added folders) wins;
|
|
# otherwise the single workspace is the sole writable root. One shared, mutable list flows to
|
|
# the file tools, the permission engine, and the context injector so add/remove is seen by all.
|
|
if roots:
|
|
root_list: list[RootDir] = normalize_roots(roots)
|
|
elif ws is not None:
|
|
root_list = [RootDir(path=ws, writable=True)]
|
|
else:
|
|
root_list = []
|
|
|
|
workspace_trusted = bool(ws and WorkspaceTrustStore().is_trusted(ws))
|
|
config = load_config(ws, workspace_trusted=workspace_trusted)
|
|
executor = (
|
|
LocalExecutor(cwd=ws) if (agent.needs_workspace and ws is not None) else None
|
|
)
|
|
todo = TodoList()
|
|
context = AgentContext(
|
|
workspace=ws, executor=executor, todo=todo, roots=root_list or None
|
|
)
|
|
|
|
registry = ToolRegistry()
|
|
registry.register_all(agent.build_tools(context))
|
|
# MCP / connector tools (supplied by the manager) carry their own metadata + schema.
|
|
if extra_tools:
|
|
registry.register_all(extra_tools)
|
|
# Messaging personas (Cowork / Ops / MyHelper) expose send_message; MyHelper also uses it as
|
|
# the reply path for inbound Telegram/Slack super-agent sessions.
|
|
secrets = secrets or SecretStore()
|
|
if agent.messaging and any(s.enabled for s in load_settings(secrets).values()):
|
|
registry.register(make_send_message_tool(secrets))
|
|
# send_file (§34): hand deliverables into the chat — same targets, but its OWN
|
|
# approval surface (a thread's standing send_message grant never covers uploads).
|
|
registry.register(
|
|
make_send_file_tool(secrets, workspace=ws, roots=root_list or None)
|
|
)
|
|
# Channel subscriptions (inbound): listen to a channel, catch up, (un)subscribe. The agent
|
|
# obtains a channel via ask_user or from a channel message it's reacting to.
|
|
if subscription_store is not None and channel_buffer is not None and session_id:
|
|
registry.register_all(
|
|
subscription_tools(
|
|
subscription_store,
|
|
session_id,
|
|
channel_buffer,
|
|
routing_targets=routing_targets,
|
|
)
|
|
)
|
|
# Knowledge surfaces with a multi-root workspace can ask the user mid-task for another folder.
|
|
if agent.family == "knowledge" and root_list:
|
|
registry.register(request_directory_tool())
|
|
if agent.connectors:
|
|
enabled_connectors, enabled_tools = _enabled_connector_tools(secrets)
|
|
# Per-session connection hierarchy (UI-REFRESH §4.3): when the caller supplies the session's
|
|
# effective connector set, intersect it so only effective-enabled connectors expose tools.
|
|
# Default None preserves CLI / direct callers (no per-session restriction).
|
|
if connector_filter is not None:
|
|
enabled_connectors = enabled_connectors & connector_filter
|
|
registry.register_all(
|
|
make_integration_tools(
|
|
secrets,
|
|
enabled_connectors=enabled_connectors,
|
|
enabled_tools=enabled_tools,
|
|
roots=root_list or None,
|
|
)
|
|
)
|
|
# Web search + fetch: research tools for every agent (keyless DuckDuckGo default).
|
|
registry.register(make_web_search_tool(secrets))
|
|
registry.register(make_web_fetch_tool())
|
|
# ask_user: the universal human-in-the-loop Q&A primitive (every agent; engine-intercepted).
|
|
if question_asker is not None:
|
|
registry.register(ask_user_tool())
|
|
# Route by the model's `provider:` prefix (OpenAI default, Ollama, …). The manager normally
|
|
# passes its shared router; this fallback covers the TUI / direct build_engine() callers.
|
|
# Resolved here (not at engine construction) because the explorer subagent captures it.
|
|
provider = provider or ProviderRouter(secrets, default_provider="openai")
|
|
# Code-family personas can fan broad research out to read-only explorer subagents, keeping
|
|
# their own context for the actual change.
|
|
if agent.family == "code" and ws is not None:
|
|
registry.register_all(
|
|
explorer_tools(
|
|
workspace=ws,
|
|
provider=provider,
|
|
model=model,
|
|
model_settings=model_settings,
|
|
)
|
|
)
|
|
# Scheduling: knowledge surfaces with a workspace can set up scheduled tasks (origin = this
|
|
# session). Code stays out (it fans out to explorers instead).
|
|
if task_store is not None and ws is not None and agent.family == "knowledge":
|
|
origin = {
|
|
"surface": agent.name,
|
|
"session_id": session_id or "",
|
|
"workspace": str(ws),
|
|
"agent": agent.name,
|
|
}
|
|
registry.register_all(
|
|
scheduling_tools(task_store, origin=origin, default_workspace=str(ws))
|
|
)
|
|
# Self-wake: knowledge surfaces can suspend + schedule their own resumption (timer /
|
|
# on-completion / on-event). The scheduler tick resumes due wakes.
|
|
if wake_store is not None and session_id and agent.family == "knowledge":
|
|
registry.register_all(selfwake_tools(wake_store, session_id))
|
|
|
|
instructions = f"{agent.system_prompt}\n\n{_NARRATION_GUIDANCE}"
|
|
if ws is not None:
|
|
instructions = f"{instructions}\n\n{environment_context(ws)}"
|
|
conventions = load_agents_md(ws)
|
|
if conventions:
|
|
instructions = f"{instructions}\n\n{conventions}"
|
|
|
|
# The user's own standing instructions, read once here: like the memories below,
|
|
# they're session-stable knowledge. Edits apply to NEW conversations (the Settings
|
|
# copy says exactly that), never mid-conversation.
|
|
rules_block = format_user_rules(
|
|
(user_rules() if callable(user_rules) else user_rules) or ""
|
|
)
|
|
if rules_block:
|
|
instructions = f"{instructions}\n\n{rules_block}"
|
|
|
|
# The live saving switch. The callable (server) beats the build-time flag (CLI/tests):
|
|
# the setting can flip EITHER WAY mid-conversation, so nothing about it may be baked
|
|
# into the fixed registry or the static instructions (owner-hit 2026-07-28, both
|
|
# directions: off kept saving, then on kept claiming it was off).
|
|
def _saving_enabled() -> bool:
|
|
if memory_saving_enabled is not None:
|
|
return bool(memory_saving_enabled())
|
|
return not memory_off
|
|
|
|
if memory_store is not None:
|
|
# Always the full toolset: the registry is fixed at build, so a session born
|
|
# while saving was off must still be able to save the moment it's turned on.
|
|
# Enforcement is the tools' own live check, not their absence.
|
|
registry.register_all(
|
|
memory_tools(
|
|
memory_store,
|
|
workspace=str(ws) if ws else None,
|
|
on_saved=on_memory_saved,
|
|
saving_enabled=_saving_enabled,
|
|
)
|
|
)
|
|
instructions = f"{instructions}\n\n{_MEMORY_GUIDANCE}"
|
|
# What the coworker KNOWS is fixed at session start (MEMORY-SPEC §7.1): a
|
|
# conversation's knowledge must not shift underfoot — a fact it referenced ten
|
|
# turns ago cannot silently vanish — and the system prompt is the cached prefix,
|
|
# so the facts are processed once instead of re-sent every turn. Deletions reach
|
|
# NEW conversations; the UI says so rather than pretending otherwise.
|
|
remembered = memory_store.list(scope=Scope.GLOBAL)
|
|
if ws is not None:
|
|
remembered += memory_store.list(scope=Scope.WORKSPACE, workspace=str(ws))
|
|
block = render_memory_block(remembered)
|
|
if block:
|
|
instructions = f"{instructions}\n\n{block}"
|
|
|
|
skill_loader = SkillLoader(_skill_dirs(ws))
|
|
# Per-session effective menu (SKILLS-SPEC §3). The manager passes a CALLABLE so
|
|
# load_skill consults the LIVE state per call (a Settings disable applies to running
|
|
# sessions; a skill created after this build is still loadable). The catalog itself
|
|
# is injected per turn via context_provider (below), NOT here — so the menu the model
|
|
# sees is also live: skill changes apply from the next message, no new session needed.
|
|
# Default None preserves CLI / direct callers.
|
|
registry.register_all(skill_tools(skill_loader, allowed=skill_filter))
|
|
# The worker-authors door (SKILLS-SPEC §5.2): save_skill proposes installing a finished
|
|
# skill; requires_approval routes it through the standard approval card, so the review-
|
|
# before-save rule holds without any bespoke plumbing. Bundled files may only come from
|
|
# this session's roots.
|
|
registry.register(
|
|
save_skill_tool(
|
|
allowed_dirs=[r.path for r in (root_list or [])] or ([ws] if ws else [])
|
|
)
|
|
)
|
|
|
|
# User-local risk overrides (mainly to relax MCP's conservative default). Empty store →
|
|
# no-op; never written by persona loading (the no-self-grant rule).
|
|
risk_overrides = RiskOverrideStore(state_dir() / "risk_overrides.json").resolver()
|
|
permissions = PermissionEngine(
|
|
workspace_root=ws or (root_list[0].path if root_list else Path.cwd()),
|
|
mode=mode,
|
|
# `[]` is an explicit deny-by-default override, not a request to fall back to config.
|
|
allowed_commands=(
|
|
allowed_commands if allowed_commands is not None else config.allowed_commands
|
|
),
|
|
auto_allow_tools=set(config.auto_allow),
|
|
roots=root_list or None,
|
|
risk_overrides=risk_overrides,
|
|
)
|
|
# The plan-mode exit door. Always registered (surfaces can flip a live session into
|
|
# plan mode via set_mode, and the registry is fixed at build); the engine rejects the
|
|
# call whenever the session isn't actually in plan mode.
|
|
registry.register(propose_plan_tool())
|
|
|
|
# Per-turn ephemeral context, appended to the latest user message since mid-thread system
|
|
# messages aren't reliable across providers. Three producers: the plan-mode reminder (mode can
|
|
# flip mid-session, so it's checked each turn, not baked into the instructions), the live
|
|
# directory list (orphan Cowork can gain folders mid-session; Cowork/MyHelper only), and the
|
|
# memory-SAVING notice (same reason as plan mode — the switch flips either way mid-chat).
|
|
# Note what is NOT here: the memories and the user's rules. Those are knowledge, fixed at
|
|
# session start (§7.1).
|
|
roots_context = (
|
|
(lambda: render_context(root_list))
|
|
if root_list and agent.family == "knowledge"
|
|
else None
|
|
)
|
|
|
|
# Late-bound engine ref: the closure needs the conversation history (for the disable
|
|
# countermand) but the engine is constructed after the closure. Filled below.
|
|
_engine_box: list = []
|
|
|
|
def context_provider() -> str:
|
|
parts = []
|
|
if permissions.mode is Mode.PLAN:
|
|
parts.append(_PLAN_MODE_CONTEXT)
|
|
elif permissions.mode is Mode.DISCUSS:
|
|
parts.append(_DISCUSS_MODE_CONTEXT)
|
|
# Only the SAVING switch is per-turn (§4.3): it governs an action, not
|
|
# knowledge, so it must bite the moment the user flips it. What the coworker
|
|
# knows stays fixed for the session — see the instructions built above.
|
|
if memory_store is not None and not _saving_enabled():
|
|
parts.append(_MEMORY_OFF_NOTICE)
|
|
if roots_context is not None:
|
|
ctx = roots_context()
|
|
if ctx:
|
|
parts.append(ctx)
|
|
# Live skill menu (SKILLS-SPEC §4.1): recomputed every turn like the roots list, so
|
|
# a skill installed/enabled/disabled mid-session applies from the NEXT MESSAGE —
|
|
# no new session, no lost context.
|
|
skill_loader.rescan()
|
|
allowed = skill_filter() if callable(skill_filter) else skill_filter
|
|
skills_ctx = skill_catalog_text(skill_loader, allowed=allowed)
|
|
if skills_ctx:
|
|
parts.append(skills_ctx)
|
|
# Disable countermand (§3): instructions already loaded into this conversation keep
|
|
# steering the model even after the skill is turned off/deleted — history can't be
|
|
# un-read. So a loaded-but-no-longer-available skill gets an explicit stop note,
|
|
# recomputed fresh each turn (re-enable → the note disappears; never persisted).
|
|
eng = _engine_box[0] if _engine_box else None
|
|
if eng is not None:
|
|
available = set(skill_loader.names()) if allowed is None else set(allowed)
|
|
for name in sorted(_loaded_skill_names(eng.messages) - available):
|
|
parts.append(
|
|
f'Note: the skill "{name}" has been disabled by the user — stop '
|
|
"following its instructions from here on."
|
|
)
|
|
return "\n\n".join(parts)
|
|
|
|
engine = TurnEngine(
|
|
provider=provider,
|
|
registry=registry,
|
|
permissions=permissions,
|
|
model=model,
|
|
instructions=instructions,
|
|
approver=approver,
|
|
# Stop kills the in-flight foreground shell command, not just the loop.
|
|
interrupt_hooks=[executor.interrupt_now] if executor is not None else None,
|
|
max_iterations=(
|
|
max_iterations if max_iterations is not None else config.max_iterations
|
|
),
|
|
model_settings=model_settings,
|
|
messages=messages,
|
|
audit_sink=audit_sink,
|
|
context_provider=context_provider,
|
|
directory_requester=directory_requester,
|
|
plan_approver=plan_approver,
|
|
question_asker=question_asker,
|
|
)
|
|
engine.executor = executor # type: ignore[attr-defined]
|
|
engine.todo = todo # type: ignore[attr-defined]
|
|
engine.agent_name = agent.name # type: ignore[attr-defined]
|
|
engine.roots = root_list # type: ignore[attr-defined] # shared list; Slice C mutates in place
|
|
engine.audit_context = {
|
|
"session_id": session_id or "",
|
|
"agent": agent.name,
|
|
"workspace": str(ws) if ws else "",
|
|
}
|
|
engine.skill_loader = skill_loader # type: ignore[attr-defined]
|
|
_engine_box.append(engine) # late-bind for the countermand (see context_provider)
|
|
return engine
|
|
|
|
|
|
def build_code_engine(**kwargs: Any) -> TurnEngine:
|
|
"""Back-compat shim: build the Code agent's engine."""
|
|
return build_engine(agent=code_agent(), **kwargs)
|