serve: enable OpenAI auto tool-calling (qwen3_xml) + reasoning split by default
A forum user hit HTTP 400 "'auto' tool choice requires --enable-auto-tool-choice
and --tool-call-parser to be set" — the server shipped without tool-calling
enabled, which is exactly what agent/tool workloads (the whole point) need.
- serve.sh + mtp_serve.sh now pass --enable-auto-tool-choice --tool-call-parser
qwen3_xml --reasoning-parser qwen3 by default (overridable/disable via
TOOL_PARSER= / REASONING_PARSER=).
- Parser matters: Qwen3.5 emits the XML tool format
(<function=name><parameter=k>v</parameter></function>), so hermes returns 200
but with EMPTY tool_calls (the call lands in content). qwen3_xml parses it.
Verified on the box: tool_choice=auto -> tool_calls=[get_weather {city:Paris}];
plain chat unaffected; <think> -> reasoning_content.
- README: document tool-calling defaults + that the server binds 0.0.0.0
(LAN-reachable at http://<spark-ip>:8000; no auth).
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@@ -15,6 +15,12 @@ LOAD_FORMAT="${LOAD_FORMAT:-fastsafetensors}"
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PORT="${PORT:-8000}"
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# Reclaim the CUDA-graph memory over-estimate to KV (see serve.sh). Set =1 to restore.
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export VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS="${VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS:-0}"
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# Auto tool-calling + reasoning split (see serve.sh). Off via TOOL_PARSER="" etc.
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TOOL_PARSER="${TOOL_PARSER:-qwen3_xml}"
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REASONING_PARSER="${REASONING_PARSER:-qwen3}"
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TOOL_ARG=()
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[ -n "$TOOL_PARSER" ] && TOOL_ARG+=(--enable-auto-tool-choice --tool-call-parser "$TOOL_PARSER")
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[ -n "$REASONING_PARSER" ] && TOOL_ARG+=(--reasoning-parser "$REASONING_PARSER")
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echo "[mtp] qwen3_5_mtp — backend=$BACKEND, num_speculative_tokens=$NSPEC, model=$MODEL"
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exec vllm serve "$MODEL" \
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--served-model-name qwen \
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@@ -28,4 +34,5 @@ exec vllm serve "$MODEL" \
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--trust-remote-code \
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--load-format "$LOAD_FORMAT" \
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--attention-backend "$BACKEND" \
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"${TOOL_ARG[@]}" \
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--speculative-config "{\"method\":\"qwen3_5_mtp\",\"num_speculative_tokens\":$NSPEC,\"model\":\"$MODEL\"}"
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