- engine.py: drop UnboundLocalError-prone isinstance(response, ...) checks in
except blocks of _handle_responses_request and _handle_messages_request;
emit SSE-shaped error frames mid-stream instead of raw dicts; add missing
blank line between handlers.
- engine_args.py: restructure LMCache HMA guard so the warning branch is
actually reachable when user explicitly sets disable_hybrid_kv_cache_manager=False,
and correct the inverted message (HMA must be disabled = True).
- requirements.txt: drop stray whitespace in transformers version specifier.
* VLLM upgrade to 0.12.0 and compatibility fixes
* MAX_NUM_BATCHED_TOKENS fix and CUDA tester
* Sys kill worker instead of marking as failed
* upgrade to vllm 0.12.0
* Update to vllm 0.15.0 and lora fix
* Update for HUB and removal of deprected env variables
* reverted docker-bake changes
* removed leftovers
* Update src/handler.py
Co-authored-by: Dj Isaac <contact@dejaydev.com>
* Update src/utils.py
Co-authored-by: Dj Isaac <contact@dejaydev.com>
* Update src/handler.py
Co-authored-by: Dj Isaac <contact@dejaydev.com>
* Clean up of docs and comments in code
* nit: lowercase p
* nit: lowercase p
---------
Co-authored-by: Dj Isaac <contact@dejaydev.com>
Co-authored-by: chrisvela <chris.vela@runpod.io>
- You no longer need a linux-based machine or NVIDIA GPUs to build the worker.
- Over 3x lighter Docker image size.
- OpenAI Chat Completion output format (optional to use).
- Extremely fast image build time.
- Docker Secrets-protected Hugging Face token support for building the image with a model baked in without exposing your token.
- Support for `n` and `best_of` sampling parameters, which allow you to generate multiple responses from a single prompt.
- New environment variables for various configuration.
- vLLM Version: 0.2.7
jhcipar