chore: update AGENTS.md files

[github-actions]

Automated weekly update of AGENTS.md files from Gist.

This PR was automatically generated by zai-code-bot scheduled task.
The command was fetched from the Gist URL configured in ZAI_AGENTS_GIST_URL
and executed to discover and update all AGENTS.md files in the repository.

The agent autonomously scanned the repository and generated updated AGENTS.md files.

To modify the Gist URL:

1. Go to Settings > Secrets > Actions
2. Update the ZAI_AGENTS_GIST_URL secret
3. Or update this configuration file

Task: weekly-agents-update
Timestamp: 2026-06-30T09:37:47.033Z
Files Updated:

• AGENTS.md

---

Generated automatically by zai-code-bot scheduled task

[github-actions]

Z.ai Code Review

🔍 Review Summary

The AGENTS.md file has been completely rewritten to reflect a migration from a JavaScript/Node.js GitHub Action to a Python-based bot powered by ZhipuAI. The documentation is comprehensive, well-structured, and effectively defines architectural boundaries, contribution rules, and repository-specific constraints.

🚨 Critical Issues & Bugs

None detected.

💡 Suggestions & Best Practices

• AGENTS.md: In the Validation section, you state: "Type checking: If mypy or pyright is configured..." and "Linting/formatting: If ruff, black, or flake8 configuration is present...". For a Python project intended for production or collaborative development, static type checking and linting should be considered mandatory standards rather than conditional options. I recommend strengthening this language to ensure quality gates are enforced by default.

Suggested Change:

## Validation

- **Run tests**: `pytest` (or `python -m pytest`) from the repository root.
- **Type checking**: **Mandatory.** Run `mypy` (or configured type checker) before submitting changes.
- **Linting/formatting**: **Mandatory.** Run `ruff check` and `ruff format` (or configured tools) to ensure code consistency.
- Verify any new tools or handlers have corresponding test coverage in `tests/`.
- If API integration changes are made, manually verify against the ZhipuAI API response format.

📊 Final Assessment

• Rating: Good
• Reason: The documentation accurately reflects the architectural shift to Python and provides clear, actionable guidelines ("gotchas," anti-patterns) that are crucial for maintaining consistency in an AI-assisted or collaborative development environment.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 75.52%. Comparing base (5a379a5) to head (cee4667).

Additional details and impacted files

@@           Coverage Diff           @@
##             main      #13   +/-   ##
=======================================
  Coverage   75.52%   75.52%           
=======================================
  Files          22       22           
  Lines        6500     6500           
=======================================
  Hits         4909     4909           
  Misses       1591     1591           

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