vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- refactor(envs): migrate vllm/envs.py to pydantic-settings
- AMD Development Roadmap (2026 Q3)
- AMD Development Roadmap (2026 Q2)
- [CPU] Fix simulated multi-NUMA env parsing
- fix: prompt logprobs in Model Runner V2
- fix(config): reject negative max_logprobs (except -1) and long_prefill_token_threshold
- [Bug]: [PD + SpecDec] Prefix-cache trimming drops wrong block when P has extra lookahead block
- [RFC] External post-generation classifier hook API
- [Bug]: [structured outputs] speculative decoding + `VLLM_ENFORCE_STRICT_TOOL_CALLING=1` failed to advance FSM
- [Bug]: Responses API + `text.format` json_schema is not grammar-constrained when a reasoning parser is enabled — output escapes into the unconstrained `reasoning` channel
- Docs
- Python not yet supported