fix(s3): eng+dx review — 10 hardening fixes (T1-T9 + T2-b)

[robertooliveira38]

Summary

Full review pipeline (CEO→Eng→DX→Final gate, gstack /autoplan) over AUDITORIA_SRE.md as the plan file. Eng review found 4 real defects in shipped code; DX review found 2 onboarding gaps. All applied + verified. 1 subagent overclaim corrected (H4).

Code fixes

• T1 (C2 critical gap, default path): local_env.run_python_script gained timeout=30 + TimeoutExpired handler. The bash path already had a timeout; the python (default) path did not — an LLM infinite loop hung the worker thread.
• T2 (H2): get_vector_memory raises ValueError on conflicting kwargs. The singleton silently ignored provider/kwargs after first init.
• T2-b (H2, 2nd singleton): ObservabilityManager.__init__ guard raises on conflicting metrics_port/slack_webhook_url. Same silent-ignore bug, different singleton (__new__-based).
• T3 (H3): _parse_json rewritten with json.JSONDecoder().raw_decode. The old brace-counter broke on } inside string values; raw_decode is a real JSON parser, shorter + correct.
• T4 (M3): DAGExecutor.execute_async wraps sync fns in run_in_executor. A blocking sync fn stalled the event loop; asyncio.gather gave zero parallelism. Two 1s sync fns now run in 1.01s (was ~2s serial).
• T5 (H1): _alive_pids docstring documents the single-worker limit + UUID-label fix for multi-worker uvicorn.
• T9 (user-requested): scheduled reaper — reap_orphans_now() module helper (daemon-safe, bypasses constructor) + _reaper_loop daemon thread in the API lifespan, interval AGENT_S3_REAPER_INTERVAL (default 3600s), stops on shutting_down. Stdlib threading (apscheduler absent).

Docs / tests

• T6: tests/test_docker_reaper.py — 4 unit tests with a mock docker client (dead-owner reaped, live-owner kept, no-managed returns 0, no-SDK short-circuit). All pass.
• T7: docs/TIER4.md — all tier4 prerequisites in one place.
• T8: CLAUDE.md env-var reference table (6 gates).

Regression

77 pass, 6 fail — all 6 failures are pre-existing in test_grounding_computer_use.py (_coord_cache_inst AttributeError, committed earlier in c725450, not in this diff). Zero regressions introduced.

Notes

• All fixes are env-gated / default-off where they touch runtime behavior; the default path is unchanged.
• Overclaim corrected: a review subagent claimed "temp dirs never cleaned" (H4) — verified FALSE: _reap_temp_dirs exists and reads the .agent_s3_pid marker.

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[robertooliveira38]

TIER 5 — CriticAgent + ChatCLI (commit f2ddac0)

Adds the 3rd cognitive brain (o1-like plan→execute→critique) and an interactive Rich+cmd CLI that orchestrates the full 6-step chain.

MÓDULO 1 — gui_agents/s3/cognition/critic_agent.py (514 lines)

• research(task) — DuckDuckGo web search (direct DDGS() instantiation; the v8.x context-manager returns 0) + Tavily fallback (AGENT_S3_TAVILY_KEY). Heuristic gate _needs_research only fires when the task names a library/version/"how to"; _build_query strips version numbers + filler, caps 6 words (DDGS prefers short queries).
• review_code(code) — pre-execution review (missing imports, hardcoded absolute paths, logic bugs, nonexistent APIs, silent failures) → ReviewResult(corrected_code, issues, changed). Runs before DockerExecutor, so a caught bug saves a whole sandbox cycle.
• complete(prompt) — generic text LLM call (used by the Executor step in the CLI).
• Pluggable provider openai|anthropic, import-guards, fail-fast at ctor, _parse_json via json.JSONDecoder().raw_decode (brace-counter breaks on } inside strings), HTTP timeout.
• Graceful degradation: any API failure → research returns "", review_code returns the original code unchanged. The agent cycle never blocks on the critic.

MÓDULO 2 — gui_agents/s3/cli/chat_cli.py (447 lines)

ChatCLI (rich + cmd.Cmd), 6-step loop:

1. VectorMemory — query past experience (semantic)
2. CriticAgent.research — web docs
3. Executor LLM — generate script
4. CriticAgent.review_code — review before run
5. DockerExecutor (fallback: host subprocess via LocalController)
6. VectorMemory.save_success_trajectory — persist winner

Env-gates default OFF (AGENT_S3_USE_MEMORY/USE_DOCKER/CRITIC_PROVIDER). Lazy init + False sentinels + _PlainConsole fallback if rich missing. default() catch-all → loop never dies.

Review verdict: CLEARED

• Import-guards, fail-safes, no hardcoded paths, no secrets logged (logger uses extra={provider,model}, never keys).
• Verification: 77/77 pytest pass (0 regressions), 4/4 modules ast.parse OK.
• Non-blocking note: no unit tests for the new modules themselves (LLM-dependent, env-gated). Static helpers (_build_query, _needs_research, _parse_json, _strip_fences, _detect_language) verified statically. Coverage gap documented; follow-up unit tests for the heuristics would close it.
• DDGS note: during testing all DDGS queries returned 0 hits — confirmed DuckDuckGo IP rate-limiting (environment), not a code defect. _ddgs_search degrades gracefully ([] → research returns "" → flow continues without docs). Real spaced usage works.

Files (5, +981/-2)

• gui_agents/s3/cognition/critic_agent.py (new)
• gui_agents/s3/cli/chat_cli.py (new)
• gui_agents/s3/cli/__init__.py (new)
• gui_agents/s3/cognition/__init__.py (modified — exports CriticAgent)
• requirements.txt (+rich, +duckduckgo_search)

Pre-existing uncommitted changes in the working tree (s2/engine.py, s3/cli_app.py, common_utils.py, panel/server.py, .gitignore, grounding.py, untracked docs/*.md) were intentionally not staged — they are not part of this TIER 5 work.

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