feat(R04): run every Cowork turn through ConversationApplicationService

R04-T03 — the turn lifecycle, extracted from `core/chat_agent.py::run_cowork`
into `application/conversations/`. The 260-line body mixed the lifecycle (step
budget, cancel checks, guard -> preview -> gate -> execute ordering, sandbox
tidy-up) with the machinery doing each step, and reaching any of it meant
standing up a Qt widget and a worker thread. It is now a plain object driven
through two Protocols and six callables (`turn_runtime.py`), with the concrete
`core/*` wiring confined to `core_runtime_adapter.py` — the same shape R03 used
for routing. Faithful port, not an improvement pass: where the original had a
quirk (the step-ceiling note only merges into the answer when the last message
is the assistant's) the quirk is preserved and commented.

R04-T04 — `ui/cowork_tab.py::build_job` no longer calls run_cowork. It captures
the widget's state at submit time, builds the request via the new
`cowork_turn_request.py` and executes it. `execute(..., messages=...)` hands the
widget's own list over because `_reattach_running_turn` replays from it WHILE
the worker appends and `_finalize_turn` slices it afterwards — a private list
would break both silently.

R04-T05 — `core/task_executors.py`'s cowork branch shares the same engine. All
five unattended-run behaviours stay put (plan reminder, history_ready, History
autosave per assistant message, timeout notice, plan_incomplete_reason), and
`_unattended_prompt` now expresses the load-bearing prefix order in one
readable call instead of three successive rebindings.

Verification: 74 new tests (364 passed, 1 skipped overall; check_imports PASS).
The two that matter most:
- `test_conversation_service_parity.py` runs the same scripted turn through
  run_cowork AND the service and compares the event stream, the resulting
  conversation and the advertised tool list across 7 scenarios;
- `test_task_executor_turn.py` was written BEFORE the migration and passed 8/8
  against the old code, then unchanged against the new.

Known: `ui/cowork_tab.py` (416 -> 455) and `core/task_executors.py` (476 -> 524)
stay above the 400-LOC limit. Both were already over it before this change;
bringing them under needs the R08 / R07 decompositions.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
2026-08-23 13:14:15 +09:00
co-authored by Claude Opus 5
parent 19e6b4deb2
commit 3665135c38
16 changed files with 2452 additions and 48 deletions
@@ -0,0 +1,325 @@
"""Wires :class:`ConversationApplicationService` to the existing runtime (R04-T03).
The service is written against the narrow seams in :mod:`turn_runtime` so it can
be tested with plain fakes. This module supplies the real implementations — the
provider call with its recovery pass, the tool/sandbox runtime, the security
guards, context compaction — and is therefore the ONLY file in
``application/conversations/`` that knows ``core/*`` exists. Same shape (and
same reason) as ``application/model_routing/core_routing_adapter.py`` in R03.
Every ``core`` import is deferred into a method body: importing the tool runtime
pulls in ``requests``, ``psutil`` and the sandbox stack, and code that merely
*builds* a service must not pay for that.
Faithfulness notes — two places where this reproduces a quirk of the current
runtime rather than the behaviour one would design fresh. Both are marked
inline: the MS365 system-prompt paragraph keys off the CONFIGURED extra tools
(not the advertised subset), and the ``tool_result`` path falls back to the
call's own ``path`` argument resolved against the workdir.
"""
from __future__ import annotations
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple
from ...domain.agents.agent_event import PlanStep, ToolPreview
from .conversation_application_service import ConversationApplicationService
from .turn_runtime import PLAN_TOOL, EventSink
# Legacy emit: the dict-based callback every current caller already owns.
LegacyEmit = Callable[[Dict[str, Any]], None]
def legacy_event_sink(emit: LegacyEmit) -> EventSink:
"""Adapt a typed :class:`EventSink` onto the legacy dict ``emit``.
This is what lets R04 land without touching the presentation layer: the
service thinks in typed events, ``ui/chat_panel.py::_on_event`` keeps
receiving exactly the dicts it already dispatches on. Deleted in R08 once
the widget consumes events directly.
"""
return lambda event: emit(event.to_legacy_dict())
class CoreModelCall:
""":class:`ModelCallPort` over ``code_agent._call_provider_with_recovery``.
Not ``provider.chat`` directly: the recovery wrapper adds the one bounded
retry that hides a dropped connection or a momentarily unreachable gateway,
and losing it would be a visible regression on flaky corporate networks.
"""
def __init__(self, provider: Any) -> None:
self._provider = provider
def call(self, messages, tools, on_text=None, on_reasoning=None, cancel=None):
from ...core.code_agent import _call_provider_with_recovery
return _call_provider_with_recovery(self._provider, messages, tools, on_text,
cancel, on_reasoning)
class CoreToolRuntime:
""":class:`ToolRuntimePort` over ``core/tools.py`` + Cowork's file tools."""
def __init__(self, output_dir: Path, *, title: str = "",
extra_tools: Optional[Sequence[Any]] = None, extra_executor=None,
security_config: Any = None, agent_role: str = "") -> None:
self._output_dir = Path(output_dir)
self._title = title
self._extra_tools = list(extra_tools or ())
self._extra_names = {getattr(t, "name", "") for t in self._extra_tools}
# The connector executor MCP/REST tools are routed to; None when the
# turn has no connectors enabled.
self._extra_executor = extra_executor
self._security_config = security_config
self._agent_role = agent_role
self._ctx: Any = None # built on first use (see _tool_context)
# -- the configured extra tools, for the system-prompt hints ---------- #
@property
def extra_names(self) -> frozenset:
return frozenset(self._extra_names)
def _tool_context(self):
"""The sandboxed ``ToolContext`` every built-in tool call runs inside.
Built once per turn and cached: it carries the resource limits and the
network policy, so re-deriving it mid-turn could let a Settings change
take effect halfway through work already in flight.
"""
if self._ctx is None:
from ...core import agent_security
from ...core.tools import ToolContext
limits, block_network = agent_security.sandbox_settings(self._security_config)
self._ctx = ToolContext(
self._output_dir, flatten_writes=True, # keep every file in the Output root
resource_limits=limits, block_network=block_network,
allow_url_fetch=agent_security.url_fetch_allowed(self._security_config),
jira=(self._security_config.data.get("jira") if self._security_config else None),
)
return self._ctx
# -- ToolRuntimePort -------------------------------------------------- #
def specs(self, allowed_tools: Optional[Sequence[str]] = None) -> List[Any]:
"""Advertised tools: Cowork's own two, the enabled built-ins, then MCP.
``allowed_tools`` restricts the list so a read-only step literally cannot
write. ``update_plan`` and the connector tools always survive the filter:
the plan tool has no side effects, and connectors are opted into
explicitly rather than governed by the built-in capability scope.
"""
from ...core.chat_agent import SAVE_FILE_SPEC
from ...core.plan import UPDATE_PLAN_SPEC
from ...core.tools import enabled_tool_specs
specs = ([SAVE_FILE_SPEC, UPDATE_PLAN_SPEC]
+ list(enabled_tool_specs(self._security_config))
+ self._extra_tools)
if allowed_tools is None:
return specs
allow = set(allowed_tools) | {PLAN_TOOL} | self._extra_names
return [t for t in specs if getattr(t, "name", "") in allow]
def preview(self, name: str, args: Dict[str, Any]) -> Optional[ToolPreview]:
"""What the user sees before the call runs."""
# A connector call has no local diff to show, so it renders as the plain
# argument dump the runtime already used.
if name in self._extra_names:
return ToolPreview(kind="info", title=name, text=str(args))
if name == "save_file":
return self._save_file_preview(args)
from ...core.tools import describe_action
raw = describe_action(self._tool_context(), name, args)
return ToolPreview.from_dict(raw)
def _save_file_preview(self, args: Dict[str, Any]) -> ToolPreview:
"""A before/after diff for the file the agent is about to write.
A brand-new file renders all-green (before is empty); an overwrite shows
the real change, so saving a file reads like editing one.
"""
import difflib
from ...core.chat_agent import _structure_summary, _titled_filename
fname = _titled_filename(self._title, args.get("filename", "output.txt"))
content = str(args.get("content", ""))
summary = _structure_summary(fname, content)
old = ""
existing = self._output_dir / fname
if existing.exists():
try:
old = existing.read_text(encoding="utf-8", errors="replace")
except OSError:
pass # unreadable existing file: show it as a fresh write
diff = "".join(difflib.unified_diff(
old.splitlines(keepends=True), content.splitlines(keepends=True),
fromfile=f"a/{fname}", tofile=f"b/{fname}",
)) or content[:4000]
return ToolPreview(kind="diff", title=f"Save {fname}",
text=f"{summary}\n\n{diff[:4000]}")
def execute(self, name: str, args: Dict[str, Any], on_output=None,
cancel=None) -> Dict[str, Any]:
"""Run one tool call and return the runtime's result mapping."""
if name == PLAN_TOOL:
return self._execute_plan(args)
if name in self._extra_names and self._extra_executor is not None:
# Connector results carry no local file, so no path/produced keys —
# matching what the runtime reports for an MCP call today.
result = self._extra_executor(name, args) or {}
return {"ok": bool(result.get("ok", False)), "output": result.get("output", "")}
if name == "save_file":
from ...core.chat_agent import _do_save_file
return dict(_do_save_file(self._output_dir, self._title, args))
from ...core.tools import execute_tool
ctx = self._tool_context()
result = dict(execute_tool(ctx, name, args, cancel=cancel, on_output=on_output,
agent_role=self._agent_role))
# Quirk preserved: a tool that wrote the file named in its OWN arguments
# (write_file/edit_file) does not report a path, so the runtime derives
# one from the argument. Dropping this would empty the Output list.
if not result.get("path") and isinstance(args, dict) and args.get("path"):
result["path"] = str(ctx.workdir / str(args["path"]))
return result
def _execute_plan(self, args: Dict[str, Any]) -> Dict[str, Any]:
"""Apply an ``update_plan`` call: validate the steps and audit them.
Produces no file and no chat bubble; the service turns the returned
steps into a single plan event.
"""
from ...core import agent_roles, audit_log
from ...core.plan import normalize_plan_steps
steps = normalize_plan_steps(args.get("steps"))
audit_log.record("tool_call", PLAN_TOOL, True, f"{len(steps)} step(s)",
agent_role=agent_roles.PLANNER)
return {"ok": True, "output": "Plan updated.",
"plan_steps": [PlanStep(title=s["title"], status=s["status"]) for s in steps]}
def snapshot(self) -> Any:
from ...core.tools import _snapshot
return _snapshot(self._output_dir)
def finalize(self, before: Any, cancelled: bool = False
) -> Tuple[List[str], List[str]]:
"""Drop the scratch sandbox and flatten deliverables into the root.
Returns ``(gone, arrived)``: a file that MOVED counts as both, because
the Output list keys entries by path and must drop the old one.
"""
from ...core.chat_agent import _cleanup_cowork_intermediates
removed, moved = _cleanup_cowork_intermediates(self._output_dir, before,
cancelled=cancelled)
gone = list(removed) + [old for old, _new in moved]
arrived = [new for _old, new in moved]
return gone, arrived
def build_cowork_conversation_service(
provider: Any,
output_dir: Path,
emit: LegacyEmit,
*,
title: str = "",
project_context: str = "",
extra_tools: Optional[Sequence[Any]] = None,
extra_executor=None,
security_config: Any = None,
gate: Any = None,
agent_role: str = "",
) -> ConversationApplicationService:
"""A service wired to the real runtime, ready to execute a Cowork turn.
``emit`` is the legacy dict callback: the guards and the compactor publish
their own notices through it directly (exactly as they do now), while the
service's typed events reach it via :func:`legacy_event_sink`.
``gate`` present means the workspace asked to confirm commands; pass the
request with ``gate_mode="confirm"`` so the two agree. A gate of ``None``
keeps the pre-existing auto-run behaviour.
"""
from ...core import agent_roles
tools = CoreToolRuntime(
output_dir, title=title, extra_tools=extra_tools, extra_executor=extra_executor,
security_config=security_config, agent_role=agent_role or agent_roles.COWORK,
)
def prepare_prompt(messages: List[Dict[str, Any]], advertised: Tuple[str, ...]) -> None:
"""Insert the system prompt, then fold in skills, rules and project text.
``advertised`` is unused on purpose: the runtime decides the MS365
paragraph from the CONFIGURED connector tools, not from the subset a
capability scope left advertised. Changing that changes the prompt the
model sees, so it stays as-is here and belongs to R05's tool-policy work.
"""
from ...core.chat_agent import (
COWORK_TOOL_PROMPT,
OPENDATALOADER_PDF_PROMPT,
_apply_project_context,
_apply_security_rules,
_apply_skills,
)
from ...core.deps import _can_pip
from ...core.java_runtime import find_java
from ...core.security_rules import load_rules
from ...core.skills import active_skills_text
if not messages or messages[0].get("role") != "system":
system = COWORK_TOOL_PROMPT
if any(n.startswith("ms365_") for n in tools.extra_names):
system += ("\nThe user has signed in to Microsoft 365 and enabled some ms365__* "
"tools (Outlook / Teams / OneDrive / SharePoint / meeting transcripts, "
"via the built-in MS365 MCP server). Use them whenever the request "
"involves that data — don't say you can't access it.")
if find_java() is not None and _can_pip():
# Only advertise the Java-backed PDF extractor when BOTH the JVM
# and pip are available, so the agent is never steered into a
# command that cannot work on this machine.
system += "\n\n" + OPENDATALOADER_PDF_PROMPT
messages.insert(0, {"role": "system", "content": system})
_apply_skills(messages, active_skills_text())
_apply_security_rules(messages, load_rules())
_apply_project_context(messages, project_context)
def prompt_guard(messages: List[Dict[str, Any]]) -> None:
from ...core import agent_security
agent_security.enforce_prompt(provider, messages, security_config, emit)
def command_guard(name: str, args: Dict[str, Any]) -> None:
from ...core import agent_security
agent_security.enforce_command(provider, name, args, security_config, emit)
def compact(messages: List[Dict[str, Any]], cancel) -> None:
from ...core import context_budget
context_budget.maybe_compact(provider, messages, security_config,
emit=emit, cancel=cancel)
return ConversationApplicationService(
CoreModelCall(provider), tools,
prepare_prompt=prepare_prompt,
prompt_guard=prompt_guard,
command_guard=command_guard,
compact=compact,
permission_request=(gate.request if gate is not None else None),
)
__all__ = [
"LegacyEmit", "legacy_event_sink", "CoreModelCall", "CoreToolRuntime",
"build_cowork_conversation_service",
]