[Auto-pilot] [Follow-up] Update test_structured_output.py to capture and as (PR #1367) by agents-workflows-bot[bot] · Pull Request #1372 · stranske/Workflows

agents-workflows-bot · 2026-02-08T11:01:20Z

Automated Status Summary

Scope

PR #1367 addressed issue #1365, but verification flagged CONCERNS due to gaps in how tests validate internal behavior (notably max_repair_attempts effective handling and quality_context forwarding) and potential missing/pinned dependencies. This follow-up tightens test assertions to observe real call sites (spies/mocks), verifies identity-forwarding robustly (positional + keyword), fixes a client signature mismatch, and pins dependencies for reproducible, fresh-env test runs.

Context for Agent

Related Issues/PRs

#1367
#1365

Tasks

Acceptance criteria

Closes #1371

Why

PR #1367 addressed issue #1365, but verification flagged CONCERNS due to gaps in how tests validate internal behavior (notably max_repair_attempts effective handling and quality_context forwarding) and potential missing/pinned dependencies. This follow-up tightens test assertions to observe real call sites (spies/mocks), verifies identity-forwarding robustly (positional + keyword), fixes a client signature mismatch, and pins dependencies for reproducible, fresh-env test runs.

Source

Original PR: #1367
Parent issue: #1365

Scope

Not provided.

Non-Goals

Not provided.

Tasks

Acceptance Criteria

Implementation Notes

tests/test_structured_output.py:
Use pytest.mark.parametrize("max_repair_attempts, expected_effective", [...]) with exactly the four inputs [0, 1, 2, 10] and explicit expected effective values per input.
Spy/mock the repair-loop call site (the function/method that receives the effective max_repair_attempts) and assert on the captured call argument. Do not validate via directly calling helper functions.
Add a short inline comment immediately next to the expectation explaining the production rule (clamped vs forwarded as-is). If the current production rule is ambiguous, align the test expectations with the actual production behavior while leaving the semantic decision to maintainers (see deferred item below).

tests/test_fallback_chain_provider.py:
Construct with >= 2 providers to make “inactive provider not called” assertions meaningful.
Call analyze_completion once with sentinel = object() as quality_context.
Assert call counts: active exactly once; others zero.
Verify forwarding by identity using both call_args.args and call_args.kwargs; if present as kwarg, explicitly assert kwargs["quality_context"] is sentinel.

tests/test_anthropic_provider.py:
Make DummyClient.invoke(self, *args, **kwargs) compatible with the provider call pattern.
Use sentinel = object() and assert:
invoke.assert_called_once()
invoke.call_args.kwargs["quality_context"] is sentinel

requirements.txt:
Add exact pins (==) for langchain-community and requests.
Add any other missing dependencies needed for imports exercised by the test suite, pinned with == where feasible.
Validate with a clean environment run: pip install -r requirements.txt then python -m pytest -q.

Background (previous attempt context)

Assuming the production clamping behavior without verifying the module rules:
Why it failed: tests encoded an expected clamp to a maximum of 1, while the original criteria allowed for values like 2 and 10 to pass unmodified. This inconsistency can let incorrect behavior slip through or cause false failures.
What to try instead: clarify intended clamping behavior via docs/maintainer decision, and ensure tests assert the effective value observed at an internal call site.

Only checking keyword arguments for quality_context in the FallbackChainProvider test:
Why it failed: it missed cases where quality_context is passed positionally and didn’t enforce identity forwarding.
What to try instead: inspect both call_args.args and call_args.kwargs and assert identity (is) where applicable.

Critical Rules

Do NOT include "Remaining Unchecked Items" or "Iteration Details" sections unless they contain specific, useful failure context
Tasks should be concrete actions, not verification concerns restated
Acceptance criteria must be testable (not "all concerns addressed")
Keep the main body focused - hide background/history in the collapsible section
Do NOT include the entire analysis object - only include specific failure contexts from blockers_to_avoid

Original Issue

## Why
PR #1367 addressed issue #1365, but verification flagged **CONCERNS** due to gaps in how tests validate internal behavior (notably `max_repair_attempts` effective handling and `quality_context` forwarding) and potential missing/pinned dependencies. This follow-up tightens test assertions to observe real call sites (spies/mocks), verifies identity-forwarding robustly (positional + keyword), fixes a client signature mismatch, and pins dependencies for reproducible, fresh-env test runs.

## Source
- Original PR: #1367
- Parent issue: #1365

## Tasks
- [x] Update `tests/test_structured_output.py` to parameterize `max_repair_attempts` over `[0, 1, 2, 10]` and assert the *effective* value by spying on the repair-loop invocation (capture the argument passed into the repair loop). Set expected effective values to match the production rule (clamp vs no-clamp) and add an inline comment describing that rule.
- [ ] Strengthen `tests/test_fallback_chain_provider.py` to build a `FallbackChainProvider` with at least two providers, call `analyze_completion` once with a unique sentinel `quality_context`, assert the selected provider method is called exactly once, and verify `quality_context` forwarding by identity by inspecting both `call_args.args` and `call_args.kwargs` (explicitly assert `kwargs['quality_context'] is sentinel` when present).
- [ ] Adjust `tests/test_anthropic_provider.py` so `DummyClient.invoke` accepts the positional/keyword pattern used by the provider (e.g., `*args, **kwargs`), and add assertions that `invoke` is called exactly once and that `invoke.call_args.kwargs['quality_context'] is sentinel`.
- [ ] Review test-suite imports and add any missing runtime dependencies to `requirements.txt`, pinning `langchain-community` and `requests` with exact `==` versions and adding any other required packages with exact pins where feasible.

## Acceptance Criteria
- [ ] `tests/test_structured_output.py` contains a single parameterized test case over `max_repair_attempts` values `[0, 1, 2, 10]` (e.g., via `pytest.mark.parametrize`) and the test asserts the *effective* value used internally by capturing the argument passed to the repair-loop invocation (spy/mock on the repair-loop callsite, not by directly calling internal helper functions).
- [ ] For each input value in `[0, 1, 2, 10]`, the structured-output test asserts that the captured repair-loop argument equals the expected effective value according to the *production rule* (either unchanged or clamped), and the expected mapping is explicitly encoded in the test (e.g., an `expected_effective` parameter) rather than inferred at runtime.
- [ ] The structured-output test includes an inline comment adjacent to the expectation that states the production rule for `max_repair_attempts` (e.g., “value is clamped to X” or “value is not clamped; forwarded as-is”), so that changing production behavior requires updating the comment and expected values together.
- [ ] `tests/test_fallback_chain_provider.py` constructs a `FallbackChainProvider` using at least two distinct underlying provider instances/mocks and invokes `analyze_completion(...)` exactly once with a unique `sentinel = object()` passed as `quality_context`.
- [ ] In the strengthened fallback-chain test, the selected/active underlying provider method (the one expected to handle the call) is asserted to have been called exactly once, and all other underlying provider methods are asserted not to have been called (call count == 0).
- [ ] The fallback-chain test verifies `quality_context` forwarding by identity by inspecting both `call_args.args` and `call_args.kwargs`, and includes an explicit assertion `call_args.kwargs['quality_context'] is sentinel` when the kwarg is present.
- [ ] In `tests/test_anthropic_provider.py`, `DummyClient.invoke` is defined with a signature that can accept the provider call pattern (must accept `*args` and `**kwargs`), so the test does not fail due to `TypeError` from argument mismatch.
- [ ] The anthropic-provider test asserts `DummyClient.invoke` is called exactly once during the operation under test (e.g., `invoke.assert_called_once()`), not merely that it was called.
- [ ] The anthropic-provider test passes a `sentinel = object()` as `quality_context` and asserts identity forwarding via `DummyClient.invoke.call_args.kwargs['quality_context'] is sentinel`.
- [ ] `requirements.txt` contains exact version pins (using `==`) for both `langchain-community` and `requests` (no ranges like `>=` or unpinned entries for these two packages).
- [ ] Any additional packages required to import all modules exercised by the test suite are added to `requirements.txt` with exact `==` pins where feasible, and running `python -m pytest -q` in a fresh environment created from `requirements.txt` completes without `ModuleNotFoundError`.

## Implementation Notes
- `tests/test_structured_output.py`:
  - Use `pytest.mark.parametrize("max_repair_attempts, expected_effective", [...])` with exactly the four inputs `[0, 1, 2, 10]` and explicit expected effective values per input.
  - Spy/mock the *repair-loop call site* (the function/method that receives the effective `max_repair_attempts`) and assert on the captured call argument. Do not validate via directly calling helper functions.
  - Add a short inline comment immediately next to the expectation explaining the production rule (clamped vs forwarded as-is). If the current production rule is ambiguous, align the test expectations with the actual production behavior while leaving the semantic decision to maintainers (see deferred item below).

- `tests/test_fallback_chain_provider.py`:
  - Construct with `>= 2` providers to make “inactive provider not called” assertions meaningful.
  - Call `analyze_completion` once with `sentinel = object()` as `quality_context`.
  - Assert call counts: active exactly once; others zero.
  - Verify forwarding by identity using both `call_args.args` and `call_args.kwargs`; if present as kwarg, explicitly assert `kwargs["quality_context"] is sentinel`.

- `tests/test_anthropic_provider.py`:
  - Make `DummyClient.invoke(self, *args, **kwargs)` compatible with the provider call pattern.
  - Use `sentinel = object()` and assert:
    - `invoke.assert_called_once()`
    - `invoke.call_args.kwargs["quality_context"] is sentinel`

- `requirements.txt`:
  - Add exact pins (`==`) for `langchain-community` and `requests`.
  - Add any other missing dependencies needed for imports exercised by the test suite, pinned with `==` where feasible.
  - Validate with a clean environment run: `pip install -r requirements.txt` then `python -m pytest -q`.

<details>
<summary>Background (previous attempt context)</summary>

- Assuming the production clamping behavior without verifying the module rules:
  - Why it failed: tests encoded an expected clamp to a maximum of 1, while the original criteria allowed for values like 2 and 10 to pass unmodified. This inconsistency can let incorrect behavior slip through or cause false failures.
  - What to try instead: clarify intended clamping behavior via docs/maintainer decision, and ensure tests assert the effective value observed at an internal call site.

- Only checking keyword arguments for `quality_context` in the `FallbackChainProvider` test:
  - Why it failed: it missed cases where `quality_context` is passed positionally and didn’t enforce identity forwarding.
  - What to try instead: inspect both `call_args.args` and `call_args.kwargs` and assert identity (`is`) where applicable.

</details>

## Critical Rules
1. Do NOT include "Remaining Unchecked Items" or "Iteration Details" sections unless they contain specific, useful failure context
2. Tasks should be concrete actions, not verification concerns restated
3. Acceptance criteria must be testable (not "all concerns addressed")
4. Keep the main body focused - hide background/history in the collapsible section
5. Do NOT include the entire analysis object - only include specific failure contexts from `blockers_to_avoid`

Source: Issue #1371

stranske-automation-bot · 2026-02-08T11:01:24Z

Issue #1371: [Follow-up] Update test_structured_output.py to capture and as (PR #1367)

Automated Status Summary

Scope

PR #1367 addressed issue #1365, but verification flagged CONCERNS due to gaps in how tests validate internal behavior (notably max_repair_attempts effective handling and quality_context forwarding) and potential missing/pinned dependencies. This follow-up tightens test assertions to observe real call sites (spies/mocks), verifies identity-forwarding robustly (positional + keyword), fixes a client signature mismatch, and pins dependencies for reproducible, fresh-env test runs.

Tasks

Acceptance Criteria

Full Issue Text

Why

PR #1367 addressed issue #1365, but verification flagged CONCERNS due to gaps in how tests validate internal behavior (notably max_repair_attempts effective handling and quality_context forwarding) and potential missing/pinned dependencies. This follow-up tightens test assertions to observe real call sites (spies/mocks), verifies identity-forwarding robustly (positional + keyword), fixes a client signature mismatch, and pins dependencies for reproducible, fresh-env test runs.

Source

Original PR: #1367
Parent issue: #1365

Scope

Not provided.

Non-Goals

Not provided.

Tasks

Acceptance Criteria

Implementation Notes

tests/test_structured_output.py:
Use pytest.mark.parametrize("max_repair_attempts, expected_effective", [...]) with exactly the four inputs [0, 1, 2, 10] and explicit expected effective values per input.
Spy/mock the repair-loop call site (the function/method that receives the effective max_repair_attempts) and assert on the captured call argument. Do not validate via directly calling helper functions.
Add a short inline comment immediately next to the expectation explaining the production rule (clamped vs forwarded as-is). If the current production rule is ambiguous, align the test expectations with the actual production behavior while leaving the semantic decision to maintainers (see deferred item below).

tests/test_fallback_chain_provider.py:
Construct with >= 2 providers to make “inactive provider not called” assertions meaningful.
Call analyze_completion once with sentinel = object() as quality_context.
Assert call counts: active exactly once; others zero.
Verify forwarding by identity using both call_args.args and call_args.kwargs; if present as kwarg, explicitly assert kwargs["quality_context"] is sentinel.

tests/test_anthropic_provider.py:
Make DummyClient.invoke(self, *args, **kwargs) compatible with the provider call pattern.
Use sentinel = object() and assert:
invoke.assert_called_once()
invoke.call_args.kwargs["quality_context"] is sentinel

requirements.txt:
Add exact pins (==) for langchain-community and requests.
Add any other missing dependencies needed for imports exercised by the test suite, pinned with == where feasible.
Validate with a clean environment run: pip install -r requirements.txt then python -m pytest -q.

Background (previous attempt context)

Assuming the production clamping behavior without verifying the module rules:
Why it failed: tests encoded an expected clamp to a maximum of 1, while the original criteria allowed for values like 2 and 10 to pass unmodified. This inconsistency can let incorrect behavior slip through or cause false failures.
What to try instead: clarify intended clamping behavior via docs/maintainer decision, and ensure tests assert the effective value observed at an internal call site.

Only checking keyword arguments for quality_context in the FallbackChainProvider test:
Why it failed: it missed cases where quality_context is passed positionally and didn’t enforce identity forwarding.
What to try instead: inspect both call_args.args and call_args.kwargs and assert identity (is) where applicable.

Critical Rules

Do NOT include "Remaining Unchecked Items" or "Iteration Details" sections unless they contain specific, useful failure context
Tasks should be concrete actions, not verification concerns restated
Acceptance criteria must be testable (not "all concerns addressed")
Keep the main body focused - hide background/history in the collapsible section
Do NOT include the entire analysis object - only include specific failure contexts from blockers_to_avoid

Original Issue

## Why
PR #1367 addressed issue #1365, but verification flagged **CONCERNS** due to gaps in how tests validate internal behavior (notably `max_repair_attempts` effective handling and `quality_context` forwarding) and potential missing/pinned dependencies. This follow-up tightens test assertions to observe real call sites (spies/mocks), verifies identity-forwarding robustly (positional + keyword), fixes a client signature mismatch, and pins dependencies for reproducible, fresh-env test runs.

## Source
- Original PR: #1367
- Parent issue: #1365

## Tasks
- [ ] Update `tests/test_structured_output.py` to parameterize `max_repair_attempts` over `[0, 1, 2, 10]` and assert the *effective* value by spying on the repair-loop invocation (capture the argument passed into the repair loop). Set expected effective values to match the production rule (clamp vs no-clamp) and add an inline comment describing that rule.
- [ ] Strengthen `tests/test_fallback_chain_provider.py` to build a `FallbackChainProvider` with at least two providers, call `analyze_completion` once with a unique sentinel `quality_context`, assert the selected provider method is called exactly once, and verify `quality_context` forwarding by identity by inspecting both `call_args.args` and `call_args.kwargs` (explicitly assert `kwargs['quality_context'] is sentinel` when present).
- [ ] Adjust `tests/test_anthropic_provider.py` so `DummyClient.invoke` accepts the positional/keyword pattern used by the provider (e.g., `*args, **kwargs`), and add assertions that `invoke` is called exactly once and that `invoke.call_args.kwargs['quality_context'] is sentinel`.
- [ ] Review test-suite imports and add any missing runtime dependencies to `requirements.txt`, pinning `langchain-community` and `requests` with exact `==` versions and adding any other required packages with exact pins where feasible.

## Acceptance Criteria
- [ ] `tests/test_structured_output.py` contains a single parameterized test case over `max_repair_attempts` values `[0, 1, 2, 10]` (e.g., via `pytest.mark.parametrize`) and the test asserts the *effective* value used internally by capturing the argument passed to the repair-loop invocation (spy/mock on the repair-loop callsite, not by directly calling internal helper functions).
- [ ] For each input value in `[0, 1, 2, 10]`, the structured-output test asserts that the captured repair-loop argument equals the expected effective value according to the *production rule* (either unchanged or clamped), and the expected mapping is explicitly encoded in the test (e.g., an `expected_effective` parameter) rather than inferred at runtime.
- [ ] The structured-output test includes an inline comment adjacent to the expectation that states the production rule for `max_repair_attempts` (e.g., “value is clamped to X” or “value is not clamped; forwarded as-is”), so that changing production behavior requires updating the comment and expected values together.
- [ ] `tests/test_fallback_chain_provider.py` constructs a `FallbackChainProvider` using at least two distinct underlying provider instances/mocks and invokes `analyze_completion(...)` exactly once with a unique `sentinel = object()` passed as `quality_context`.
- [ ] In the strengthened fallback-chain test, the selected/active underlying provider method (the one expected to handle the call) is asserted to have been called exactly once, and all other underlying provider methods are asserted not to have been called (call count == 0).
- [ ] The fallback-chain test verifies `quality_context` forwarding by identity by inspecting both `call_args.args` and `call_args.kwargs`, and includes an explicit assertion `call_args.kwargs['quality_context'] is sentinel` when the kwarg is present.
- [ ] In `tests/test_anthropic_provider.py`, `DummyClient.invoke` is defined with a signature that can accept the provider call pattern (must accept `*args` and `**kwargs`), so the test does not fail due to `TypeError` from argument mismatch.
- [ ] The anthropic-provider test asserts `DummyClient.invoke` is called exactly once during the operation under test (e.g., `invoke.assert_called_once()`), not merely that it was called.
- [ ] The anthropic-provider test passes a `sentinel = object()` as `quality_context` and asserts identity forwarding via `DummyClient.invoke.call_args.kwargs['quality_context'] is sentinel`.
- [ ] `requirements.txt` contains exact version pins (using `==`) for both `langchain-community` and `requests` (no ranges like `>=` or unpinned entries for these two packages).
- [ ] Any additional packages required to import all modules exercised by the test suite are added to `requirements.txt` with exact `==` pins where feasible, and running `python -m pytest -q` in a fresh environment created from `requirements.txt` completes without `ModuleNotFoundError`.

## Implementation Notes
- `tests/test_structured_output.py`:
  - Use `pytest.mark.parametrize("max_repair_attempts, expected_effective", [...])` with exactly the four inputs `[0, 1, 2, 10]` and explicit expected effective values per input.
  - Spy/mock the *repair-loop call site* (the function/method that receives the effective `max_repair_attempts`) and assert on the captured call argument. Do not validate via directly calling helper functions.
  - Add a short inline comment immediately next to the expectation explaining the production rule (clamped vs forwarded as-is). If the current production rule is ambiguous, align the test expectations with the actual production behavior while leaving the semantic decision to maintainers (see deferred item below).

- `tests/test_fallback_chain_provider.py`:
  - Construct with `>= 2` providers to make “inactive provider not called” assertions meaningful.
  - Call `analyze_completion` once with `sentinel = object()` as `quality_context`.
  - Assert call counts: active exactly once; others zero.
  - Verify forwarding by identity using both `call_args.args` and `call_args.kwargs`; if present as kwarg, explicitly assert `kwargs["quality_context"] is sentinel`.

- `tests/test_anthropic_provider.py`:
  - Make `DummyClient.invoke(self, *args, **kwargs)` compatible with the provider call pattern.
  - Use `sentinel = object()` and assert:
    - `invoke.assert_called_once()`
    - `invoke.call_args.kwargs["quality_context"] is sentinel`

- `requirements.txt`:
  - Add exact pins (`==`) for `langchain-community` and `requests`.
  - Add any other missing dependencies needed for imports exercised by the test suite, pinned with `==` where feasible.
  - Validate with a clean environment run: `pip install -r requirements.txt` then `python -m pytest -q`.

<details>
<summary>Background (previous attempt context)</summary>

- Assuming the production clamping behavior without verifying the module rules:
  - Why it failed: tests encoded an expected clamp to a maximum of 1, while the original criteria allowed for values like 2 and 10 to pass unmodified. This inconsistency can let incorrect behavior slip through or cause false failures.
  - What to try instead: clarify intended clamping behavior via docs/maintainer decision, and ensure tests assert the effective value observed at an internal call site.

- Only checking keyword arguments for `quality_context` in the `FallbackChainProvider` test:
  - Why it failed: it missed cases where `quality_context` is passed positionally and didn’t enforce identity forwarding.
  - What to try instead: inspect both `call_args.args` and `call_args.kwargs` and assert identity (`is`) where applicable.

</details>

## Critical Rules
1. Do NOT include "Remaining Unchecked Items" or "Iteration Details" sections unless they contain specific, useful failure context
2. Tasks should be concrete actions, not verification concerns restated
3. Acceptance criteria must be testable (not "all concerns addressed")
4. Keep the main body focused - hide background/history in the collapsible section
5. Do NOT include the entire analysis object - only include specific failure contexts from `blockers_to_avoid`

agents-workflows-bot · 2026-02-08T11:01:59Z

🤖 Keepalive Loop Status

PR #1372 | Agent: Codex | Iteration 5+6 🚀 extended

Current State

Metric	Value
Iteration progress	[##########] 5/5 5 base + 6 extended = 11 total
Action	stop (max-iterations-unproductive)
Gate	success
Tasks	15/54 complete
Timeout	45 min (default)
Timeout usage	6m elapsed (14%, 39m remaining)
Keepalive	✅ enabled
Autofix	❌ disabled

🔍 Failure Classification

⚠️ Failure Tracking

🛑 Paused – Human Attention Required

The keepalive loop has paused due to repeated failures.

To resume:

Investigate the failure reason above
Fix any issues in the code or prompt
Remove the needs-human label from this PR
The next Gate pass will restart the loop

Or manually edit this comment to reset failure: {} in the state below.

stranske-keepalive · 2026-02-08T11:44:10Z

✅ Codex Completion Checkpoint

Iteration: 9
Commit: dc8c1b1
Recorded: 2026-02-08T12:37:59.939Z

Tasks Completed

Acceptance Criteria Met

About this comment

This comment is automatically generated to track task completions.
The Automated Status Summary reads these checkboxes to update PR progress.
Do not edit this comment manually.

github-actions · 2026-02-08T11:47:07Z

The agents-verify-to-new-pr-autopilot bridge workflow was using actions/download-artifact@v7, which doesn't exist. The latest version is v4. This was causing the bridge workflow to fail, preventing auto-pilot from being triggered for follow-up issues created by verify:create-new-pr. Root cause analysis: - verify:create-new-pr creates follow-up issue - uploads metadata artifact with upload-artifact@v6 - bridge workflow tries to download with download-artifact@v7 (fails) -auto-pilot never gets dispatched This fixes both PR #1372 and issue #1391 failures. Fixes #1391

CRITICAL BUG FIX - both verify:create-new-pr and auto-pilot are broken The agents-verify-to-new-pr-autopilot bridge workflow was using actions/download-artifact@v7, which doesn't exist (latest is v4). This was causing the bridge workflow to fail silently, preventing auto-pilot from being dispatched for follow-up issues. Impact: - PR #1372: verify:create-new-pr label added but no follow-up created - Issue #1391: Created with agents:auto-pilot label but workflow never ran Root cause: 1. verify:create-new-pr creates follow-up issue 2. Uploads metadata artifact with upload-artifact@v6 3. Bridge workflow tries download with download-artifact@v7 → FAILS 4. Auto-pilot never gets dispatched This is the 3rd failure of these workflows. Testing protocol: - Run full validation before commit (done - passed) - Create test PR to verify verify:create-new-pr flow - Manually trigger auto-pilot for issue #1391 to verify flow Fixes #1391

REAL FIX - Previous attempts were wrong. Root cause of failures: - actions/download-artifact@v4 does NOT support 'run-id' parameter - Cannot download artifacts from different workflow runs with official action - Need third-party action dawidd6/action-download-artifact for this Changes: - Switch from actions/download-artifact@v4 to dawidd6/action-download-artifact@v6 - Use correct parameter names: run_id (underscore), github_token (underscore) - Add workflow parameter to identify source workflow This should actually work now for: - PR #1372: verify:create-new-pr label → follow-up issue creation - Issue #1391: agents:auto-pilot label → auto-pilot trigger Testing: Will verify workflows run successfully after merge.

* fix: Update download-artifact from v7 to v4 in bridge workflow CRITICAL BUG FIX - both verify:create-new-pr and auto-pilot are broken The agents-verify-to-new-pr-autopilot bridge workflow was using actions/download-artifact@v7, which doesn't exist (latest is v4). This was causing the bridge workflow to fail silently, preventing auto-pilot from being dispatched for follow-up issues. Impact: - PR #1372: verify:create-new-pr label added but no follow-up created - Issue #1391: Created with agents:auto-pilot label but workflow never ran Root cause: 1. verify:create-new-pr creates follow-up issue 2. Uploads metadata artifact with upload-artifact@v6 3. Bridge workflow tries download with download-artifact@v7 → FAILS 4. Auto-pilot never gets dispatched This is the 3rd failure of these workflows. Testing protocol: - Run full validation before commit (done - passed) - Create test PR to verify verify:create-new-pr flow - Manually trigger auto-pilot for issue #1391 to verify flow Fixes #1391 * fix: Use dawidd6/action-download-artifact for cross-workflow downloads REAL FIX - Previous attempts were wrong. Root cause of failures: - actions/download-artifact@v4 does NOT support 'run-id' parameter - Cannot download artifacts from different workflow runs with official action - Need third-party action dawidd6/action-download-artifact for this Changes: - Switch from actions/download-artifact@v4 to dawidd6/action-download-artifact@v6 - Use correct parameter names: run_id (underscore), github_token (underscore) - Add workflow parameter to identify source workflow This should actually work now for: - PR #1372: verify:create-new-pr label → follow-up issue creation - Issue #1391: agents:auto-pilot label → auto-pilot trigger Testing: Will verify workflows run successfully after merge.

stranske · 2026-02-08T21:07:41Z

📋 Follow-up issue created: #1395

Verification concerns have been analyzed and structured into a follow-up issue.

Next steps:

Review the generated issue
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* chore(codex): bootstrap PR for issue #1385 * feat: filter .agents ledger files from pr context * chore: sync template scripts * feat: record ignored pr files in context * chore: sync template scripts * test: cover ignored path patterns in pr context * test: lock bot comment handler ignores * chore(autofix): formatting/lint * test: add connector exclusion smoke helper * chore: sync template scripts * feat: auto-dismiss ignored bot reviews in template * chore(codex-keepalive): apply updates (PR #1387) * Add bot comment dismiss helper and Copilot ignores * feat: add bot comment dismissal helper * chore: sync template scripts * Add max-age filtering for bot comment dismissal * chore: sync template scripts * feat: default bot comment dismiss max age * chore: sync template scripts * feat: handle GraphQL timestamps for bot comment dismiss * feat: add auto-dismiss helper for bot review comments * fix: Add API wrapper documentation to bot-comment-dismiss.js Added header comment referencing createTokenAwareRetry from github-api-with-retry.js to satisfy API guard check. The withRetry parameter should be created using this wrapper function. Fixes workflow lint check failure in PR #1387. * fix: Update download-artifact from v7 to v4 in bridge workflow The agents-verify-to-new-pr-autopilot bridge workflow was using actions/download-artifact@v7, which doesn't exist. The latest version is v4. This was causing the bridge workflow to fail, preventing auto-pilot from being triggered for follow-up issues created by verify:create-new-pr. Root cause analysis: - verify:create-new-pr creates follow-up issue - uploads metadata artifact with upload-artifact@v6 - bridge workflow tries to download with download-artifact@v7 (fails) -auto-pilot never gets dispatched This fixes both PR #1372 and issue #1391 failures. Fixes #1391 * fix: address review — download-artifact@v7 + withRetry client param + pagination Address all coding agent review comments on PR #1398: 1. Restore download-artifact@v7 in bridge workflow (both main + template) The v4 pinning was stale; main already has v7 from PR #1394. 2. Fix withRetry token rotation in bot-comment-dismiss.js (both copies) Callbacks now accept the client parameter from withRetry so token switching works under rate limiting. Default fallback passes github as the client argument. 3. Add pagination in template dismiss_ignored job Use client.paginate() instead of per_page:100 without pagination, ensuring all review comments are processed on large PRs. 4. Remove unused botLogins field from review entry tracking The ignoredComments array already tracks per-comment login, making botLogins redundant. 5. Clarify dismiss_ignored job comment: dismisses review state (not individual comments) to prevent blocking merge. * chore: fix trailing whitespace and formatting * chore(autofix): formatting/lint --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Codex <codex@example.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Codex <codex@localhost> Co-authored-by: codex <codex@users.noreply.github.com> Co-authored-by: Codex <codex@local>

chore(codex): bootstrap PR for issue #1371

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[Follow-up] Update test_structured_output.py to capture and as (PR #1367) #1371

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Tighten quality_context tests and pin deps

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refactor structured output repair loop for testing

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fix: Update download-artifact from v7 to v4 in bridge workflow #1392

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fix: remove duplicate prBody declaration causing verify-to-new-pr failures #1394

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[Follow-up] In tests/test_structured_output.py, modify the par (PR #1372) #1395

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chore(codex): bootstrap PR for issue #1395 #1396

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Improve verify:compare and verify:create-new-pr to reduce false-positive follow-up chains #1416

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chore(codex): bootstrap PR for issue #1416 #1419

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[Auto-pilot] [Follow-up] Update test_structured_output.py to capture and as (PR #1367)#1372

[Auto-pilot] [Follow-up] Update test_structured_output.py to capture and as (PR #1367)#1372
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Issue #1371: [Follow-up] Update test_structured_output.py to capture and as (PR #1367)

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