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# What does this PR do? Adds a write worker queue for writes to inference store. This avoids overwhelming request processing with slow inference writes. ## Test Plan Benchmark: ``` cd /docs/source/distributions/k8s-benchmark # start mock server python openai-mock-server.py --port 8000 # start stack server LLAMA_STACK_LOGGING="all=WARNING" uv run --with llama-stack python -m llama_stack.core.server.server docs/source/distributions/k8s-benchmark/stack_run_config.yaml # run benchmark script uv run python3 benchmark.py --duration 120 --concurrent 50 --base-url=http://localhost:8321/v1/openai/v1 --model=vllm-inference/meta-llama/Llama-3.2-3B-Instruct ``` ## RPS from 21 -> 57 |
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| .. | ||
| bedrock | ||
| common | ||
| datasetio | ||
| inference | ||
| kvstore | ||
| memory | ||
| responses | ||
| scoring | ||
| sqlstore | ||
| telemetry | ||
| tools | ||
| vector_io | ||
| __init__.py | ||
| pagination.py | ||
| scheduler.py | ||