Add pluggable LLM backends and Granite-friendly drafter postprocessing. - #24
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Add pluggable LLM backends and Granite-friendly drafter postprocessing.#24yashoza19 wants to merge 1 commit into
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Enable skills/messages/openai drafter backends with draft-compare tooling, compact prompts and epic-grouped payloads for small models, and deterministic link/gap enrichment so OpenAI-compatible endpoints produce reviewable drafts. Co-authored-by: Cursor <cursoragent@cursor.com>
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Enable skills/messages/openai drafter backends with draft-compare tooling, compact prompts and epic-grouped payloads for small models, and deterministic link/gap enrichment so OpenAI-compatible endpoints produce reviewable drafts.
Summary
skills(hosted Claude skill),messages(local SKILL.md via Anthropic), andopenai(OpenAI-compatible inference e.g. Granite 8B)status draft-compareto run the same collector payload through multiple backends and write per-backend JSON +summary.jsonneeds_humanfor null epics, stale-epic and unticketed-PR flags)in progress→progressing) and coerce null draft fields before validationTest plan
pytest tests/test_evidence.py tests/test_payload_summary.py tests/test_llm_backends.py tests/test_drafter.pystatus draft-compare --fixture fixtures/payload.json --backend openai -o ./draft-compare/against Granite APIcast--backend skillsbaseline when Anthropic credits are availableDRAFTER_LLM_BACKEND=openai+OPENAI_*env vars documented in.env.examplework for your cluster endpoint