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chore: update vllm k8s command to support tool calling (#2717)
# What does this PR do? ## Test Plan
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2 changed files with 6 additions and 6 deletions
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@ -6,12 +6,12 @@
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# This source code is licensed under the terms described in the LICENSE file in
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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# the root directory of this source tree.
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export POSTGRES_USER=${POSTGRES_USER:-llamastack}
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export POSTGRES_USER=llamastack
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export POSTGRES_DB=${POSTGRES_DB:-llamastack}
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export POSTGRES_DB=llamastack
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export POSTGRES_PASSWORD=${POSTGRES_PASSWORD:-llamastack}
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export POSTGRES_PASSWORD=llamastack
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export INFERENCE_MODEL=${INFERENCE_MODEL:-meta-llama/Llama-3.2-3B-Instruct}
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export INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct
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export SAFETY_MODEL=${SAFETY_MODEL:-meta-llama/Llama-Guard-3-1B}
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export SAFETY_MODEL=meta-llama/Llama-Guard-3-1B
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# HF_TOKEN should be set by the user; base64 encode it for the secret
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# HF_TOKEN should be set by the user; base64 encode it for the secret
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if [ -n "${HF_TOKEN:-}" ]; then
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if [ -n "${HF_TOKEN:-}" ]; then
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@ -32,7 +32,7 @@ spec:
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image: vllm/vllm-openai:latest
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image: vllm/vllm-openai:latest
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command: ["/bin/sh", "-c"]
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command: ["/bin/sh", "-c"]
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args:
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args:
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- "vllm serve ${INFERENCE_MODEL} --dtype float16 --enforce-eager --max-model-len 4096 --gpu-memory-utilization 0.6"
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- "vllm serve ${INFERENCE_MODEL} --dtype float16 --enforce-eager --max-model-len 4096 --gpu-memory-utilization 0.6 --enable-auto-tool-choice --tool-call-parser llama4_pythonic"
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env:
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env:
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- name: INFERENCE_MODEL
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- name: INFERENCE_MODEL
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value: "${INFERENCE_MODEL}"
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value: "${INFERENCE_MODEL}"
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