docs: add MAI-1 agent contract to AGENTS.md#649
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… scorer sanitizer (main.py): - _sanitize_query now also strips literal \n \r sequences (two chars) that some agents send instead of real newline characters — fixes the 'send transactional emailnnresponse' zero-result bug dedup migration (main.py): - _migrate_dedup_categories(): renames 'payment' → 'payments' in compiled_apis at startup; idempotent, runs on Railway deploy mai_api.html: - Added missing category options: finance, google, social - Sorted alphabetically, matches backend validator exactly reliability_scorer.py: - Extended from GitHub-only to all 4 platforms: · PyPI: pypistats.org API (downloads/month → score 0.72–0.97) · npm: npmjs.org downloads API (same scale) · HuggingFace: HF API (downloads + likes → score 0.74–0.95) - --platform flag to score one platform at a time - All scorers share compute_pypi_score scale for consistency B3 PRs: - python-dotenv: theskumar/python-dotenv#649 ✅ - letta: blocked (org-level permissions, 404 on PR endpoint) — deferred Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Adds an
AGENTS.mdcontaining a self-contained MAI-1 tool contract.Why this helps: AI coding agents (Claude Code, GitHub Copilot, Cursor, Gemini CLI) can read the contract block to discover how to install and invoke this library without parsing the full README or hallucinating the API.
The block follows the MAI-1 four-section structure:
{ "aid": "python-dotenv-v1", "logic": { "input_schema": {...}, "output_schema": {...} }, "trust": { "reliability_score": 0.0, "latency_ms": 0 }, "action": { "install_cmd": "...", "execute_cmd": "..." } }No external services are queried. The file lives entirely in this repo and can be maintained by the team like any other documentation.
Feel free to close if this doesn't fit the project.