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o Introduces vLLM provider support to the record/replay testing framework o Enabling both recording and replay of vLLM API interactions alongside existing Ollama support. The changes enable testing of vLLM functionality. vLLM tests focus on inference capabilities, while Ollama continues to exercise the full API surface including vision features. -- This is an alternative to #3128 , using qwen3 instead of llama 3.2 1B appears to be more capable at structure output and tool calls. --------- Signed-off-by: Derek Higgins <derekh@redhat.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
28 lines
811 B
YAML
28 lines
811 B
YAML
name: Setup VLLM
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description: Start VLLM
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runs:
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using: "composite"
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steps:
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- name: Start VLLM
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shell: bash
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run: |
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# Start vllm container
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docker run -d \
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--name vllm \
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-p 8000:8000 \
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--privileged=true \
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quay.io/higginsd/vllm-cpu:65393ee064-qwen3 \
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--host 0.0.0.0 \
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--port 8000 \
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--enable-auto-tool-choice \
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--tool-call-parser hermes \
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--model /root/.cache/Qwen3-0.6B \
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--served-model-name Qwen/Qwen3-0.6B \
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--max-model-len 8192
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# Wait for vllm to be ready
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echo "Waiting for vllm to be ready..."
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timeout 900 bash -c 'until curl -f http://localhost:8000/health; do
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echo "Waiting for vllm..."
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sleep 5
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done'
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