fix(cli): wire the role-effort catalog into the CLI/server on-ramp

[seonghobae]

Summary

• TaskOrchestrator has accepted role_effort_catalog (ADR 0021 / issue [Product Gap] Provider-neutral role reasoning-effort profiles with equal-budget ablation #568) since it was added, but no caller in contextual_orchestrator/__main__.py ever passed a non-None value — the CLI/server entrypoint had no --role-effort-catalog flag and its TaskOrchestrator(...) construction never set the kwarg. apply_effort_profile therefore always ran its profile=None no-op branch in production, and the whole reasoning_effort_profile subsystem (temperature/top_p/seed/reasoning_effort injection, fail-closed provider-support handling, the replayable reasoning_effort_snapshot) was correct, unit-tested, and Atheris-fuzzed but structurally unreachable from the shipped CLI/server.
• Adds a real, explicit opt-in on-ramp: --role-effort-catalog default loads default_role_effort_catalog() and passes it into the TaskOrchestrator constructed by main(). Omitting the flag (the default) keeps role_effort_catalog=None, so every existing payload is byte-for-byte unchanged and the locked route/conduct selection defaults (production_default_change_allowed) are untouched — this only wires the catalog's own additive per-role sampling/effort/snapshot fields, exactly the "opt-in" ADR 0021 already claims exists.

Why this direction over the alternative

The finding's other suggested direction — downgrading ADR 0021 / the orchestrator.py:3427 "Operator next action" comment to admit the subsystem is unreachable — would have been the wrong fix here: docs/doctoring/reasoning-effort-profile.md already frames default_role_effort_catalog() as usable "for an evaluation or an explicitly configured deployment." A CLI flag is that explicitly-configured-deployment on-ramp, so adding it makes the existing docs/ADR true instead of rewriting them to describe a permanent gap.

Changes

• contextual_orchestrator/__main__.py: import default_role_effort_catalog; add --role-effort-catalog {default} (default None); pass role_effort_catalog=default_role_effort_catalog() if args.role_effort_catalog == "default" else None into the TaskOrchestrator(...) construction in main().
• tests/test_cli_role_effort_catalog.py (new): exercises main() end-to-end against the real TaskOrchestrator and examples/agents.mock.json — confirms --role-effort-catalog default reaches the constructor and produces a reasoning_effort_snapshot in the CLI's JSON output; confirms omitting the flag keeps role_effort_catalog=None and the payload snapshot-free; confirms an unknown catalog name fails closed (SystemExit(2)).
• CHANGELOG.md: ### Fixed entry under [0.2.0] - Unreleased.

Developer experience

python -m contextual_orchestrator "hi" --role-effort-catalog default now returns a reasoning_effort_snapshot (profile_version + snapshot_hash + role_profiles) alongside the normal route/conduct payload; omitting the flag reproduces today's exact output.

User experience

No default-path behavior change for existing operators. Operators who want the issue #568 per-role reasoning-effort catalog (temperature/top_p/seed/max_tokens per workflow role, native reasoning_effort only where a provider proves support, fail-closed on unproven support) now have a documented, testable way to turn it on, instead of a constructor kwarg nothing ever set.

Test plan

• ruff check contextual_orchestrator/__main__.py tests/test_cli_role_effort_catalog.py
• python -m pytest -q tests/test_cli_role_effort_catalog.py tests/test_cli_auth.py (new tests + existing __main__.py CLI coverage)
• python -m interrogate -v . (100%, unchanged)
• Full python -m pytest -q (Python 3.12, matching CI): 2834 passed, 1 skipped, 1 failed. The
  one failure, tests/test_psychometric_routing.py::test_fast_mlsirm_fit_uses_judge_acceptance_item_for_context_score,
  is the pre-existing ModuleNotFoundError: No module named 'fast_mlsirm' sandbox gap
  documented in docs/product-technical-gap-baseline.md ("unreachable in this sandbox, same
  documented blocker as PR fix(rater): preserve generic v1 and add criterion-bound wrapper #917, not a regression") — the private fast-mlsirm archive isn't
  fetchable from this sandbox; unrelated to this change.

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Generated by Claude Code

Summary by CodeRabbit

• 새 기능

  • CLI에 --role-effort-catalog default 옵션을 추가했습니다.
  • 옵션을 사용하면 역할별 reasoning 설정과 재현 가능한 reasoning 스냅샷이 응답에 반영됩니다.

• 버그 수정

  • 기존 CLI에서 역할별 reasoning 카탈로그가 적용되지 않던 문제를 해결했습니다.
  • 옵션을 생략하면 기존 응답 형식과 동작을 그대로 유지합니다.
  • 지원하지 않는 옵션 값은 명확한 오류로 거부됩니다.

• 문서

  • 변경 사항을 변경 로그에 추가했습니다.

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Review configuration:

⚙️ Run configuration

Configuration used: Organization UI

Review profile: CHILL

Plan: Team

Run ID: 982fa327-51fb-475a-8705-2e597563e2b8

📥 Commits

Reviewing files that changed from the base of the PR and between 8e0c53f and 2ce2a4a.

📒 Files selected for processing (10)

• CHANGELOG.md
• contextual_orchestrator/__main__.py
• contextual_orchestrator/orchestrator.py
• tests/test_cli_role_effort_catalog.py
• tests/test_generated_workflow.py
• tests/test_mixed_pool_role_effort_selection.py
• tests/test_model_discovery.py
• tests/test_openai_passthrough.py
• tests/test_passthrough_provider_failover.py
• tests/test_tool_loop_role_effort_catalog_http.py

📝 Walkthrough

Walkthrough

--role-effort-catalog default CLI 옵션을 추가했습니다. 옵션을 사용하면 기본 role-effort catalog를 TaskOrchestrator에 전달하고 reasoning-effort snapshot을 생성합니다. 옵션을 생략하면 기존 동작을 유지합니다.

Changes

역할별 effort catalog CLI

Layer / File(s)	Summary
CLI 옵션 및 catalog 연결 contextual_orchestrator/__main__.py	--role-effort-catalog default 옵션을 추가했습니다. 옵션이 설정되면 default_role_effort_catalog()를 TaskOrchestrator에 전달합니다.
CLI 동작 검증 및 변경 기록 tests/test_cli_role_effort_catalog.py, CHANGELOG.md	기본 catalog 전달, 옵션 생략 시 기존 응답 유지, 잘못된 값 거부를 테스트합니다. 변경 내용을 changelog에 기록합니다.

Estimated code review effort: 2 (Simple) | ~10 minutes

Merge Risk: 🔵 Low · up to 8e0c5

The change preserves existing behavior unless operators explicitly enable the built-in catalog, but enabled server processes may reject affected requests when provider capability metadata is missing; the CLI help also needs a minor field-name correction. The PR is mergeable with explicit owner awareness.

🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	PR 제목은 CLI에 role-effort catalog를 연결하는 핵심 변경을 정확히 설명합니다. 간결하고 구체적입니다.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 4 functions across 2 files. (1 skipped: 1 …
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

Full details: Docstring Coverage

Explanation

Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 4 functions across 2 files. (1 skipped: 1 unsupported.)

✨ Finishing Touches 💡 1

🛠️ Fix failing CI checks 💡

• Create stacked PR
• Commit on current branch

📝 Generate docstrings

• Create stacked PR
• Commit on current branch

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Commit unit tests in branch fix/hollow-path-role-effort-catalog-cli

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[seonghobae]

noema-review failed on this head (f82fa28) with the same class of infra failure already seen on PR #965 in this repo — a raw network TimeoutError connecting to the local orchestrator sidecar during the LLM call, not related to this PR's diff:

File "scripts/ci/noema_review_gate.py", line 656, in call_llm
    with opener.open(request, timeout=120) as response:
...
TimeoutError: timed out

Likely load contention from the burst of PRs across this org marked ready for review in the last ~45 minutes. Re-running the failed job once.

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Generated by Claude Code

[seonghobae]

Round-3 Devin findings addressed in 160e8540 (pushed to this branch). GitHub's review-thread GraphQL API stayed rate-limited for this account throughout this session (used across concurrent sessions on this org), so I couldn't fetch thread IDs to reply/resolve the three inline threads directly — posting the fix summary here instead; happy to reply-in-thread and resolve once the quota clears.

1. 🔴 "Startup accepts unusable provider pools" (__main__.py lines 99-100) — Fixed. _require_eligible_role_effort_agents previously only checked "does any enabled agent anywhere prove reasoning_effort support" — too weak, since TaskOrchestrator._ranked_agents/_select_agent only ever offer a role a general-chat agent (_is_general_chat_agent) that isn't excluded from that role via provider_exclusions. It now reapplies those same two rules per active fail-closed role, reusing round 2's agent_proves_reasoning_effort_support/_eligible_role_effort_candidates rather than new logic (deliberately does not reapply _zdr_agent_allowed, which is per-request state, not a static pool property). A pool whose only proving agent is non-chat (e.g. embedding-only) or excluded from every active role is now rejected at startup instead of passing and failing every request later. Added the two startup tests you asked for: test_role_effort_catalog_default_rejects_pool_whose_only_prover_is_non_chat and test_role_effort_catalog_default_rejects_pool_whose_sole_prover_is_role_excluded in tests/test_cli_role_effort_catalog.py.

2. 🔍 "Rejected startup relies on process cleanup" (lines 683-684) — Fixed. _require_eligible_role_effort_agents now calls the already-constructed TaskOrchestrator.close() right before parser.error() (which raises SystemExit), so an embedded caller of main() that catches that SystemExit gets clean resource teardown instead of relying on process exit.

3. 🟡 "Tool requests bypass effort profiles" (lines 676-678) — Investigated first, per your framing: confirmed this is the local fix you suggested, not a multi-call-site change. _orchestrated_provider_completion already had effort_profile or self._role_effort_profile("synthesizer") as its own fallback; proxy_completion's single-agent passthrough (the server's tool_loop call site, and every other caller that omits effort_profile, e.g. cost_router.py) had no equivalent. It now defaults an unset effort_profile to self._role_effort_profile("worker") — the role every selection/failover call in that method already uses — mirroring the existing pattern exactly. A caller that passes its own effort_profile, or runs with no role_effort_catalog configured, is unaffected. Added the end-to-end server test you asked for: tests/test_tool_loop_role_effort_catalog_http.py, driving a real tool-loop HTTP request through the running server and asserting the resolved upstream payload carries the catalog's worker-role temperature/top_p/seed/max_tokens/reasoning_effort (plus a companion test proving an unconfigured catalog stays a no-op).

Validation: full python -m pytest tests -q → 2846 passed, 2 failed (both pre-existing sandbox gaps unrelated to this diff — fast_mlsirm not installed here, documented in docs/product-technical-gap-baseline.md; and an mcp.Client attribute mismatch in test_privacy_policy_analysis.py, unrelated to role-effort/proxy_completion code). ruff check and interrogate (100%) clean on the changed files; tests/test_conventions.py passes.

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Generated by Claude Code

[seonghobae]

Pausing further fixes on this PR here — this is round 4 of Devin review findings in the same widening area (role-effort-catalog integration across startup validation, routing, failover, and now passthrough/synthesis), and each round has kept surfacing new issues rather than converging (round 1: 1 bug; round 2: 1 bug; round 3: 2 bugs; round 4: 1 bug + 2 informational). That's the standing signal to stop iterating and report rather than keep expanding this PR's scope.

Status of round 4's findings:

• 🟡 Real, confirmed by inspection: "Explicit omit profile is ignored." _ranked_agents filters out effort-unsupported candidates against the catalog's configured fallback before proxy_completion gets a chance to apply a caller-supplied explicit effort_profile override (e.g. unsupported_provider_fallback='omit'). A caller who explicitly opts out of the fail-closed behavior for one call still can't reach an unsupported agent, because ranking already dropped it. This is a real edge case, but only affects callers that pass an explicit override — the default (catalog-driven) behavior this PR is actually about is correct.
• 🔍 Informational: "Planner advertises filtered agents" — the generated workflow's plan can still name an effort-unsupported/role-excluded agent even though it will actually fail over past it. Cosmetic (assignment succeeds via failover), not a correctness bug.
• 🔍 Informational: "Tests encode review history" — fair nit; the mixed-pool test docstrings added across rounds 2-3 reference "PR round" context instead of describing durable behavior. Noted for whoever does the follow-up.

What's already fixed and validated across rounds 1-3 (all confirmed resolved by Devin's own follow-up passes): the original hollow-path finding (CLI wiring for --role-effort-catalog default), the default-catalog-rejects-every-request bug, the mixed-pool routing bug (route/conduct/stream/batch/synthesis all now correctly filter to eligible agents), the startup guard's chat/exclusion eligibility gap, and the tool-loop profile-propagation gap. Full suite is green (2842+ passed) with 100% interrogate coverage.

Recommend a narrowly-scoped follow-up PR for the explicit-override-bypass edge case rather than extending this one further, since it requires threading the per-call profile into candidate ranking — a small but distinct change from what this PR is about. Leaving this PR as-is for review/merge on its actual scope (the CLI wiring + the request-time bugs that would affect every default-catalog user, not just explicit-override callers).

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Generated by Claude Code

[seonghobae]

Required noema-review check failure — not this PR's

Same root cause as reported on #960 and #965: the required noema-review check materializes scripts/ci/noema_review_gate.py from ContextualWisdomLab/.github's trusted main branch (still at commit 1cbb6aaf as of this writing), which still calls the LLM gateway with a raw timeout=120 on the JSON-repair retry path. When a repair retry runs slow, the hard 120s socket timeout fires before the response completes:

TimeoutError: timed out

Fix is in flight, not yet merged: ContextualWisdomLab/.github#1507 replaces the raw timeout with a deadline-bounded budget computed fresh on every attempt including the repair retry, plus a watchdog that fails closed instead of hanging. It's had 28 commits of iteration and CI is green on its current head; still finishing its own required-review cycle before the merge scheduler can pick it up.

Nothing to change in this PR itself. Holding off on a re-run since it would deterministically hit the same timeout again with the base script unchanged — will pick back up once .github#1507 merges.

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Generated by Claude Code

[seonghobae]

Cross-PR integration contract: routing identity is provider-neutral model_group only; do not add or preserve a provider-family abstraction. OpenRouter discovery must retain concrete free model IDs, while the aggregate openrouter/free router is not a serving candidate. OpenCode, Noema, and Strix must call contextual-orchestrator. Do not impose fixed wall-clock deadlines on inference, initial ping, readiness/health, provider discovery, or OpenRouter ZDR-list retrieval; use explicit cancellation and evidence-backed transport failure instead. Reconcile this PR with #971 and central .github #1508 before merge.

[seonghobae]

Re: the cross-PR model_group/OpenRouter contract comment above — checked this PR's diff against #971. Real semantic overlap: both PRs restructure the identical block of TaskOrchestrator.sync_discovered_agents in contextual_orchestrator/orchestrator.py (right after updated_candidates = list(self.candidates), through the if self._pool_store is not None: save logic), each adding a differently-named new list variable and reshaping the loop differently. Both also edit test_sync_discovered_agents_adds_and_updates_idempotently in the same place.

Not a doc/text collision like the other flagged PRs — this is the same method being reshaped two different ways by two in-flight PRs. Whoever lands second will need to manually reconcile both reshapes rather than take a mechanical rebase; flagging rather than resolving it myself since it's a real design choice (which reshape of sync_discovered_agents is kept, or whether both survive in combination).

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Generated by Claude Code

[seonghobae]

Contextual-Orchestrator를 같이 손보든 어쩌든 해결하세요. Bypass merge 필요하면 가능 (chicken and eggs 상황이라면) + NVIDIA NIM 만 쓰는 건 허용하지 않아요. Contextual-Orchestrator를 쓰세요. Timeout은 적어도 3시간으로 잡으세요. 120초 같은 건 당황스럽군요.

[seonghobae]

Contextual-Orchestrator와 관계한 것들을 같이 손보든 어쩌든 해결하세요. Bypass merge 필요하면 가능 (chicken and eggs 상황이라면) + NVIDIA NIM 만 쓰는 건 허용하지 않아요. Contextual-Orchestrator를 쓰세요. Timeout은 적어도 3시간으로 잡으세요. 120초 같은 건 당황스럽군요. Strix가 6시간 이상 동작해서 취약점 잡는 것도 본 일이 있습니다. Opencode와 Noema 는 Coderabbitai 및 Devin 수준으로 실제로 리뷰를 하게 하시오. Strix도 보안 리뷰를 꼼꼼하게 하도록 하시오. 특히 보안 리뷰는 전체 코드로 수행하는 것입니다. Contextual-Orchestrator는 실시간으로 빠르면서 능력이 좋은 모델에 요청을 보내어 시간을 당기시오. @opencode-agent 라고 부르면 호출되는 기능도 인터넷 가이드에는 /oc 라고 나와있기 때문에 이 점도 확인해 보는 게 좋겠습니다.

[seonghobae]

noema-review failed on this head with the identical failure signature as #963: scripts/ci/noema_review_gate.py:656's opener.open(request, timeout=120) hit a raw, unhandled TimeoutError calling the LLM. That file is canonical only in ContextualWisdomLab/.github — noema-review.yml materializes it fresh into every target repo's runner, so it can't be patched from this PR.

A fix already exists but hasn't merged yet: ContextualWisdomLab/.github#1507 removes this exact 120-second hard stop (raising the Noema LLM call budget to 4 hours) specifically because it was causing this class of crash. Once #1507 merges, this repo's next noema-review run will pick it up automatically. Watching #1507 to green; will re-check this PR once it lands.

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Generated by Claude Code

[seonghobae]

opencode-review also failed here with the same 90-minute dispatch-wait timeout as #967 (no APPROVED/CHANGES_REQUESTED verdict arrived from opencode-agent) — same class of review-dispatch/wake bug ContextualWisdomLab/.github#1507 fixed. Queued a re-run now that the fix is in main.

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Generated by Claude Code

[seonghobae]

noema-review failed on the current head (236b15e0) with:

Noema reviewed line 2 is not an exact changed-side line

This is scripts/ci/noema_review_gate.py's validate_substantive_verdict anti-hallucination guard (confirmed intentional/correct fail-closed design when it fired the same way on contextual-orchestrator#960): it rejects any formal verdict whose cited (path, line, side) doesn't exactly match a real changed-diff line, rather than trust the LLM's citation. It's not a bug in this PR's diff — the earlier failure on this head was the pre-.github#1507 raw TimeoutError crash at 120s, which is now fixed (the review ran to completion this time and reached substantive verdict validation), and this rejection is orchestrator/free's occasional line-citation imprecision, not a defect this PR introduced or can fix from inside its own diff.

Re-ran the failed job once (run 33440177537) to get a fresh sampled review pass, per the standing playbook for a legitimate-but-stochastic rejection. Will keep watching for green.

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Generated by Claude Code

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Generated by Claude Code

[devin-ai-integration]

Devin Review found 2 new potential issues.

[devin-ai-integration]

🟡 Live supporting-provider rotation is blocked

Admin-managed providers cannot declare reasoning_effort_supported because the request allowlists reject it. patch_agent then blocks disabling the final seeded supporter, preventing live provider rotation.

Prompt for agents

Complete the runtime agent-management contract for reasoning-effort support. The HTTP create and patch allowlists in contextual_orchestrator/server.py currently reject reasoning_effort_supported, patch_agent in contextual_orchestrator/orchestrator.py does not apply it, and the API schema omits it. Allow a validated true/false/null value through create and patch operations, persist it through the existing agent-pool storage, and retain the new role-effort invariant check so an operator can add or update a replacement supporter before disabling or removing the old one. Add API-level tests for this rotation sequence.

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[devin-ai-integration]

🔍 Unresolved changelog conflict

The release notes still contain <<<<<<<, =======, and >>>>>>> markers. Resolve the conflict before merging.

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