feat: Add guided decoding support to OpenAI frontend #8245
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What does the PR do?
This PR adds comprehensive guided decoding support to the OpenAI frontend, enabling users to constrain model outputs to specific formats through the OpenAI-compatible API.
The implementation supports both vLLM and TensorRT-LLM backends with multiple guide types including JSON schema, regex patterns, choice-based selection, and EBNF grammar.
Checklist
Agreement
<commit_type>: <Title>
pre-commit install, pre-commit run --all
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Related PRs:
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Where should the reviewer start?
Please focus on these key files:
python/openai/openai_frontend/schemas/openai.py
- Review the new schema fieldsguided_decoding_guide_type
andguided_decoding_guide
added to both completion request modelspython/openai/openai_frontend/engine/utils/triton.py
- Check the implementation of guided decoding integration for both vLLM and TensorRT-LLM backendspython/openai/README.md
- Verify the comprehensive documentation and examples for different guide typesTest plan:
please follow the codes in
README.md
Caveats:
Background
Related Issues: (use one of the action keywords Closes / Fixes / Resolves / Relates to)