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# What does this PR do? ## Test Plan ``` cd /docs/source/distributions/k8s-benchmark # start mock server python openai-mock-server.py --port 8000 # start stack server 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 30 --concurrent 50 --base-url=http://localhost:8321/v1/openai/v1 --model=vllm-inference/meta-llama/Llama-3.2-3B-Instruct ``` Before: ============================================================ BENCHMARK RESULTS ============================================================ Total time: 30.00s Concurrent users: 50 Total requests: 1267 Successful requests: 1267 Failed requests: 0 Success rate: 100.0% Requests per second: 42.23 After: ============================================================ BENCHMARK RESULTS ============================================================ Total time: 30.00s Concurrent users: 50 Total requests: 1449 Successful requests: 1449 Failed requests: 0 Success rate: 100.0% Requests per second: 48.30 |
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| .. | ||
| __init__.py | ||
| datasets.py | ||
| eval_scoring.py | ||
| inference.py | ||
| safety.py | ||
| tool_runtime.py | ||
| vector_io.py | ||