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Six safe fixes from Stage 5c review:
phase.py: delete dead _DEFAULT_BASH_FILTER constant (no references after U1)
chat.py: drop Any from _build_phase_engine params (AGENTS.md prohibits any)
chat.ts: delete stale comment about phase_changed emission
chat-phase.test.ts: rename misleading 'capped at 5' test name
test_chat_plan_exec_ws.py: tighten test_rest_react_mode_still_works assertion
test_plan_exec_e2e.py: clarify test_auto_advance assertion comment
Known limitations documented in PR description (not fixed): loop detector + advance_phase (P1), parallel path phase_violation ordering (P2), REST cancellation_token (P2), Callable filter exceptions (P3).
Add tests/integration/test_plan_exec_e2e.py covering the full PLAN_EXEC
path through a scripted LLM mock (deterministic, no real API call).
Mock boundary: LLMGateway.chat_stream yields scripted StreamChunk
objects. Real ReActEngine, real PhasePolicy (default_policy()), real
AdvancePhaseTool, real chat._handle_chat_message WS handler.
Test scenarios (7 tests, all passing):
- Happy path: PLANNING (search) → advance_phase → BUILDING (write_file)
→ advance_phase → VERIFICATION (shell ls tests/unit/) → advance_phase
→ DELIVERY (final answer). Asserts final_answer, tool dispatch counts,
no phase_violation events, engine ends at DELIVERY.
- Negative path: write_file in PLANNING blocked → phase_violation event
emitted with violation_kind=tool_not_allowed → LLM calls advance_phase
→ write_file in BUILDING succeeds. Asserts exactly 1 violation, tool
NOT dispatched during PLANNING (write_file.call_count==1 after recovery).
- Edge cases:
- auto_advance_after_steps=2: engine transitions out of PLANNING
after 2 LLM calls without explicit advance_phase.
- policy_from_config(enabled=False) returns None (PLAN_EXEC disabled).
- policy_from_config({}) returns None (opt-out, fall back to default).
- Error path: chat_stream raises RuntimeError → exception propagates,
phase state unchanged (still PLANNING), tool not dispatched.
- WS handler integration: full _handle_chat_message path emits both
phase_violation (from engine) and phase_changed (from WS handler's
transition detection) to the client WebSocket.
Notes:
- Loop detector threshold bumped to 99 for happy/negative/auto-advance
tests (3 legitimate advance_phase calls with {} args would trigger
the default threshold=2; this is a known PLAN_EXEC production concern
tracked separately).
- VERIFICATION-phase shell command uses `ls tests/unit/` instead of
plan's `pytest tests/unit/ -q` — pytest is not in
ShellTool._SAFE_COMMAND_PREFIXES and would be flagged dangerous by
the default policy's bash filter. Using ls (whitelisted) keeps the
test focused on lifecycle validation rather than policy tuning.
Verification: python3 -m pytest tests/integration/test_plan_exec_e2e.py -v
passes (7/7). Full regression: 116 tests pass across U1-U5 test files.
Ruff check + format clean.
Refs: R34, R27. Plan: docs/plans/2026-06-30-001-feat-agent-wave4-plan-exec-hardening-plan.md
Extract the WS path's inline phase_policy construction into a shared
_build_phase_engine helper so the REST send_message endpoint can reuse
it. Replace the former 501 stub with actual PLAN_EXEC execution:
- REST POST /chat/sessions/{id}/messages with execution_mode=plan_exec
now builds a phase-policy-backed ReActEngine, calls execute()
(non-streaming), and returns a MessageResponse.
- KTD5: PLAN_EXEC bypasses execute_with_fallback_chain — phase policy
and fallback chain are mutually exclusive.
- When plan_exec.enabled=False, REST falls through to the REACT path
(matching WS behavior).
- WS path refactored to call the same helper; behavior unchanged.
Tests:
- Replace TestRestPlanExec501 with TestRestPlanExec (happy path, bad
config → 500, disabled → falls through to REACT, REACT mode unchanged).
- Add TestBuildPhaseEngineHelper covering all return branches:
not-PLAN_EXEC, disabled, empty-config, invalid-config, tool append,
default-policy fallback.
- All 109 tests pass across the three PLAN_EXEC test files.
Wave 3 only injected the violation error dict back to the LLM as a tool
result. Wave 4 U2 adds a parallel WS event so the frontend PhaseIndicator
can surface violations to the user.
- ReActEngine: add _phase_violations accumulator (list[dict]). Cleared in
reset(). _check_phase_permission appends a structured violation dict
(with new violation_kind field: tool_not_allowed | bash_command_blocked)
before returning the error.
- Add _drain_phase_violations(step) helper that pops pending violations
and returns ReActEvent(event_type="phase_violation", ...) list. Events
carry a shallow copy of the violation dict so callers can't mutate the
accumulator.
- execute_stream: drain after each tool_result yield at all 3 tool
execution sites (parallel, serial-with-confirmation, parsed_calls).
Non-streaming execute() ignores the accumulator (the LLM reinjection
via the error dict is the only signal there).
- chat.py WS handler: new elif branch forwards phase_violation ReActEvents
to the client as {"type": "phase_violation", "data": ...} WS messages.
- Tests: 11 new tests covering accumulator lifecycle, drain semantics,
shallow-copy isolation, and execute_stream event emission for both
tool_block and bash_block paths. 2 new WS forwarding tests pin the
chat.py path (forward + characterization for REACT mode).
Reuses ShellTool._is_dangerous as the default bash filter for PLANNING
and VERIFICATION phases, closing the regex ceiling documented in Wave 3.
- Convert ShellTool._is_dangerous and _is_single_command_dangerous to
@staticmethod (backward-compatible; instance calls still work via
Python's descriptor protocol).
- Widen PhasePolicy.bash_command_filter field type to
dict[PhaseState, Callable[[str], bool] | re.Pattern | None].
- is_bash_command_allowed dispatches on callable vs pattern at call time.
Empty commands short-circuit to allowed (Wave 3 contract; ShellTool
emits the clearer empty-command error).
- to_dict serializes callables as <callable> for log readability.
- default_policy() now wires ShellTool._is_dangerous for PLANNING and
VERIFICATION. _DEFAULT_BASH_FILTER kept for backward compat with
configs that pass a re.Pattern.
- Tests: characterization tests pin Wave 3 behavior (rm/mv/cp/echo >
still blocked) plus new edge-case coverage for ceiling closed
(dd of=/dev/sda, :>file, chain operators, pipe segments).
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Code review fixes for Wave 1:
- W1: ServerConfig.from_dict now wires prompt_cache/streaming/verification sections
from YAML to constructor (previously these params existed but were never read)
- W3: Tool._validate_input filters _-prefixed kwargs (e.g. _skip_dangerous_check)
before jsonschema.validate, preventing additionalProperties:false schemas from
rejecting internal control parameters
- N3: ReActResult.status docstring now lists "empty_fallback" and "verify_failed"
Added test test_internal_kwargs_underscore_prefixed_skipped_by_validation for W3.
Add hit_processing.py: HitProcessor with model_opt (LLM-generated) and direct (concatenated chunks) modes, with in-process cache
Add settings.py: KBSettings/KBSettingsUpdate models, KBSettingsStore with async CRUD
Add KB settings endpoints to kb_management.py: GET/PUT /kb-management/kbs/{kb_id}/settings with owner-only modification
Tests: 43 new tests (25 hit_processing + 18 settings), 293 total passing
When disclosure_level=0, system prompt only injects skill name + description
(summary mode). SkillDetailTool is injected into the tool set, allowing the
LLM to load full instructions on-demand via skill_detail(query). This reduces
context window consumption when many skills are registered.
Add PipelineCheckpoint for stage-level crash recovery with Redis-first
+ memory fallback. TeamOrchestrator saves checkpoints after each phase
finalizes and supports resume(plan_id) to continue from the last
completed phase. New POST /api/v1/tasks/{id}/resume endpoint recreates
the team from saved plan and calls resume.
U4: ExpertTeam accepts redis_client, passes to SharedWorkspace. After phase
completion, full result is written to workspace and in-memory phase.result
is replaced with a 500-char summary + _ref_key. Dependency output reading
resolves offloaded content from workspace on demand, with graceful fallback
to summary on read failure.
Tests: 8 scenarios (offload creation, short content, dependency resolution,
workspace failure fallback, non-offloaded passthrough, redis_client wiring,
memory dict fallback, pipeline integration) — all pass.
U3: ContextCompressor now accepts model_context_limit, headroom_threshold,
and min_tokens. should_compress() triggers when token ratio exceeds 0.8 of
model limit OR exceeds min_tokens (8000 fallback). ReActEngine._should_compress
delegates to compressor when available, checks is_available() first.
Tests: 6 scenarios (headroom trigger, min_tokens guard, small model,
unavailable compressor, delegation, fallback) — all pass.
U2: Add asyncio.Semaphore to bound concurrent phase execution and debate
argument generation. Default limit=3, configurable via max_concurrent_phases.
Prevents LLM rate-limit spikes when many phases run in the same layer.
Tests: 5 scenarios (happy path, 5-phase edge case, serial mode, failure
release, debate integration) — all pass.
U1: Sliding window hash detection in ReAct loop. When the same tool is
called with identical arguments >= threshold times (default 2), injects
a correction message first, then raises LoopDetectedError if the LLM
doesn't change strategy. Covers both _execute_loop and execute_stream.
chiguyong
Fischer