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chore(codex): bootstrap PR for issue #1#3

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stranske wants to merge 1 commit intomainfrom
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chore(codex): bootstrap PR for issue #1#3
stranske wants to merge 1 commit intomainfrom
codex/issue-1

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@stranske stranske commented Dec 17, 2025

Automated Status Summary

Scope

  • scripts/validate_fast.sh contains 12 TODO Phase 4 markers referencing Trend_Model_Project-specific features (SRC_FILES detection, autofix tests, coverage requirements) that are not applicable to this workflow repository. These dead code paths and stale references cause confusion and add maintenance burden.

Tasks

  • Remove all TODO Phase 4 markers and their associated dead/commented code blocks.
  • Remove SRC_FILES and AUTOFIX_FILES detection logic that references src/ directory patterns not present in this repo.
  • Update linting targets to use scripts/ and .github/ instead of src/ tests/.
  • Replace Python package-specific validation (coverage requirements, import tests) with workflow-specific checks (actionlint, YAML validation).
  • Ensure the script still runs successfully after cleanup.

Acceptance criteria

  • - grep -c "TODO Phase" scripts/validate_fast.sh returns 0.
  • - Script executes without errors: bash scripts/validate_fast.sh --help works.
  • - No references to src/ directory or Trend_Model_Project-specific patterns remain.
  • - Validation targets are appropriate for a workflow repository (scripts/, .github/).

Head SHA: 23aee74
Latest Runs: ❔ in progress — Agents PR meta manager
Required: gate: ⏸️ not started

Workflow / Job Result Logs
Agents PR meta manager ❔ in progress View run

Copilot AI review requested due to automatic review settings December 17, 2025 03:01
@stranske stranske added agent:codex Agent-created issues from Codex agents:keepalive Use to initiate keepalive functionality with agents autofix Opt-in automated formatting & lint remediation labels Dec 17, 2025
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@codex Your objective is to satisfy the Acceptance Criteria by completing each Task within the defined Scope.

This round you MUST:

  1. Implement actual code or test changes that advance at least one incomplete task toward acceptance.
  2. Commit meaningful source code (.py, .yml, .js, etc.)—not just status/docs updates.
  3. Mark a task checkbox complete ONLY after verifying the implementation works.
  4. POST A REPLY COMMENT with completed checkboxes using the EXACT TEXT from the lists below.

CRITICAL - Checkbox Format:
When posting your reply, copy the exact checkbox text from the Tasks and Acceptance Criteria sections below. Do NOT paraphrase or summarize. The automation matches text exactly.

Example format for your reply:

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Pull request overview

This PR creates a bootstrap file to initialize Codex agent work on issue #1, which aims to clean up validate_fast.sh by removing TODO Phase 4 markers and project-specific references. The bootstrap file follows the automated workflow pattern used by the repository's agent orchestration system to create placeholder PRs that agents can then work on.

Key Changes

  • Adds a bootstrap placeholder file following the repository's agent automation conventions

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@stranske
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@codex our objective is to satisfy the Acceptance Criteria by completing each Task within the defined Scope.

This round you MUST:

Implement actual code or test changes that advance at least one incomplete task toward acceptance.
Commit meaningful source code (.py, .yml, .js, etc.)—not just status/docs updates.
Mark a task checkbox complete ONLY after verifying the implementation works.
POST A REPLY COMMENT with completed checkboxes using the EXACT TEXT from the lists below.
CRITICAL - Checkbox Format:
When posting your reply, copy the exact checkbox text from the Tasks and Acceptance Criteria sections below. Do NOT paraphrase or summarize. The automation matches text exactly.

@chatgpt-codex-connector
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Codex couldn't complete this request. Try again later.

@stranske
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@codex our objective is to satisfy the Acceptance Criteria by completing each Task within the defined Scope.

This round you MUST:

Implement actual code or test changes that advance at least one incomplete task toward acceptance.
Commit meaningful source code (.py, .yml, .js, etc.)—not just status/docs updates.
Mark a task checkbox complete ONLY after verifying the implementation works.
POST A REPLY COMMENT with completed checkboxes using the EXACT TEXT from the lists below.
CRITICAL - Checkbox Format:
When posting your reply, copy the exact checkbox text from the Tasks and Acceptance Criteria sections below. Do NOT paraphrase or summarize. The automation matches text exactly.

@chatgpt-codex-connector
Copy link
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Codex couldn't complete this request. Try again later.

@stranske stranske closed this Dec 17, 2025
@stranske stranske deleted the codex/issue-1 branch December 22, 2025 17:02
stranske added a commit that referenced this pull request Jan 1, 2026
- Fix tomlkit isinstance checks - use hasattr for duck typing (#3)
- Add type validation for python_version before str() conversion (#6)
- Fix redundant ternary operators in agents-guard.yml (3 instances) (#1)
- Fix authorIsCodeowner indentation in agents-guard.js (#4)
- Fix inconsistent array indentation in agents-guard.js (#5)
- Remove redundant instructions=[] reassignment in agents-guard.js (#7)
- Fix typo in keepalive_loop.js numbered list comment (#9)

All fixes applied to both main files and templates/consumer-repo.
See docs/CODE_QUALITY_ISSUES.md for issue tracking.
stranske added a commit that referenced this pull request Jan 1, 2026
* fix: address code quality issues from Copilot reviews

- Fix tomlkit isinstance checks - use hasattr for duck typing (#3)
- Add type validation for python_version before str() conversion (#6)
- Fix redundant ternary operators in agents-guard.yml (3 instances) (#1)
- Fix authorIsCodeowner indentation in agents-guard.js (#4)
- Fix inconsistent array indentation in agents-guard.js (#5)
- Remove redundant instructions=[] reassignment in agents-guard.js (#7)
- Fix typo in keepalive_loop.js numbered list comment (#9)

All fixes applied to both main files and templates/consumer-repo.
See docs/CODE_QUALITY_ISSUES.md for issue tracking.

* chore: archive resolved CODE_QUALITY_ISSUES.md
stranske added a commit that referenced this pull request Jan 1, 2026
- Fix tomlkit isinstance checks - use hasattr for duck typing (#3)
- Add type validation for python_version before str() conversion (#6)
- Fix redundant ternary operators in agents-guard.yml (3 instances) (#1)
- Fix authorIsCodeowner indentation in agents-guard.js (#4)
- Fix inconsistent array indentation in agents-guard.js (#5)
- Remove redundant instructions=[] reassignment in agents-guard.js (#7)
- Fix typo in keepalive_loop.js numbered list comment (#9)

All fixes applied to both main files and templates/consumer-repo.
See docs/CODE_QUALITY_ISSUES.md for issue tracking.
stranske added a commit that referenced this pull request Jan 1, 2026
* fix: address code quality issues from Copilot reviews

- Fix tomlkit isinstance checks - use hasattr for duck typing (#3)
- Add type validation for python_version before str() conversion (#6)
- Fix redundant ternary operators in agents-guard.yml (3 instances) (#1)
- Fix authorIsCodeowner indentation in agents-guard.js (#4)
- Fix inconsistent array indentation in agents-guard.js (#5)
- Remove redundant instructions=[] reassignment in agents-guard.js (#7)
- Fix typo in keepalive_loop.js numbered list comment (#9)

All fixes applied to both main files and templates/consumer-repo.
See docs/CODE_QUALITY_ISSUES.md for issue tracking.

* chore: archive resolved CODE_QUALITY_ISSUES.md

* fix: prevent useless follow-up issues when source lacks criteria

Add isMissingInfoGap() to detect verifier gaps that are about missing
source info rather than actual verification failures. These gaps (like
'Provide explicit acceptance criteria in the PR description') indicate
the source issue/PR lacked structured criteria, not that verification
found actual problems.

Updated hasSubstantiveContent check to filter out these 'missing info'
gaps, preventing creation of follow-up issues when there's nothing
actionable to fix.

Fixes issue #415 scenario where follow-up issues were created despite
having only placeholder content because the verifier gaps were about
missing source info.

Added 7 new tests:
- isMissingInfoGap() unit tests
- Integration tests for hasSubstantiveContent with missing info gaps

* fix: resolve mypy union-attr errors in resolve_mypy_pin.py

Use dict() to normalize tomlkit Table objects with type: ignore[call-overload]
comments to satisfy mypy type checking while preserving duck-typing
compatibility with tomlkit's custom container types.

Fixes mypy errors:
  tools/resolve_mypy_pin.py:36: error: Item "None" has no attribute "get" [union-attr]
  tools/resolve_mypy_pin.py:39: error: Item "None" has no attribute "get" [union-attr]

* fix: broaden type ignore to cover both arg-type and call-overload

Different mypy versions report different error codes for the same issue.
Use a combined ignore comment to handle both.

* fix: address bot review comments from PR #417

1. Remove redundant /i regex flags in isMissingInfoGap() since text
   is already lowercased via .toLowerCase()

2. Improve numbered list comment in keepalive_loop.js to clarify
   both 1., 2., 3. and 1), 2), 3) formats are matched

3. Fix ALL remaining redundant ternary operators for Number() conversion:
   - agents-guard.yml (3 instances - lines 314, 442 fixed)
   - health-44-gate-branch-protection.yml (1 instance)
   - agents_pr_meta_update_body.js (1 instance)
   - templates/consumer-repo agents-guard.yml (2 instances)

4. Add missing tests for formatSimpleFollowUpIssue hasSubstantiveContent
   with missing info gaps (2 new test cases)
stranske added a commit that referenced this pull request Jan 11, 2026
1. Use _process_llm_response helper in analyze_issue OpenAI fallback
   - Eliminates code duplication (was manually parsing response)
   - Ensures consistent response processing across all code paths

2. Simplify _is_token_limit_error 413 detection
   - Removed redundant checks (with/without colon variants)
   - Simplified to: has '413' AND has 'error code'/'status code'
   - More maintainable and still catches all real-world formats

Note: Test coverage for token limit fallback path (comment #3) is
acknowledged but deferred - would require mocking complex LangChain
error scenarios.
stranske added a commit that referenced this pull request Jan 11, 2026
* chore(codex): bootstrap PR for issue #729

* Add retry backoff for issue dedup smoke API calls

* chore(autofix): formatting/lint

* chore: use gpt-4o for optimizer

* fix: pass argv list to main and propagate exit code

Addresses bot review feedback:
- P1: main() expects list[str], not string
- P2: sys.exit() to propagate non-zero exit codes

* feat: auto-fallback to OpenAI API on GitHub Models token limit

When GitHub Models hits the 8k token limit (413 error), automatically
retry the request using OpenAI API if OPENAI_API_KEY is configured.

Changes:
- Add _is_token_limit_error() helper in tools/llm_provider.py
- Add force_openai parameter to _get_llm_client()
- Catch 413 errors in analyze_issue() and retry with OpenAI
- Log fallback transitions to stderr for visibility

This enables processing large issues (like #4187) that exceed GitHub
Models free tier limits while still using free tier by default.

* chore(autofix): formatting/lint

* fix: address bot feedback on OpenAI fallback PR

Address all issues raised by agent bots:

**P2 (chatgpt-codex-connector):**
- Change provider identifier from 'github_models' to 'github-models'
  for consistency with rest of codebase (GitHub ModelsProvider.name)

**Copilot feedback:**
- Extract duplicated response processing into _process_llm_response()
- Remove unreachable exception handler (lines 644-649)
- Remove duplicate 'import sys' statements (already at module level)
- Move _is_token_limit_error import to where it's used (analyze_issue)
- Improve error detection: check for 'error code: 413' patterns instead
  of bare '413' substring to avoid false positives

Changes improve code quality, maintainability, and correctness without
affecting functionality.

* fix: add OpenAI API fallback to apply_suggestions

The apply_suggestions function was missing the token limit error handling
that analyze_issue has. When GitHub Models hits the 8k token limit (413
error), it now automatically retries with OpenAI API.

This fixes agents:apply-suggestions workflow failures on large issues
like #4187.

Changes:
- Import _is_token_limit_error in apply_suggestions when use_llm=True
- Wrap chain.invoke() in try-except to catch 413 errors
- Retry with force_openai=True when GitHub Models fails
- Fall back to non-LLM formatting if both APIs fail
- Log all transitions to stderr for visibility

* chore(autofix): formatting/lint

* refactor: address bot feedback on PR #786

1. Use _process_llm_response helper in analyze_issue OpenAI fallback
   - Eliminates code duplication (was manually parsing response)
   - Ensures consistent response processing across all code paths

2. Simplify _is_token_limit_error 413 detection
   - Removed redundant checks (with/without colon variants)
   - Simplified to: has '413' AND has 'error code'/'status code'
   - More maintainable and still catches all real-world formats

Note: Test coverage for token limit fallback path (comment #3) is
acknowledged but deferred - would require mocking complex LangChain
error scenarios.

---------

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Codex <codex@example.com>
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