ai-agents-deterministic-genera-when-using-vllm-with-float16-fp16-precision-and-ba-d40fb2b0

THEN Use float32 precision instead of float16 for deterministic batching (e.g., pass `--dtype float32` when starting the vLLM server). Alternatively, set `max_num_seqs=1` to process requests sequentially, which eliminates batching non-determinism. If FP16 is required, consider sorting requests by prompt to maintain consistent ordering, though this may not fully resolve the issue due to floating-point non-associativity.

Example: start vLLM server with float32: `python -m vllm.entrypoints.openai.api_server --model meta-llama/Llama-2-7b-hf --dtype float32 --max-num-seqs 1`