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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>
98 lines
3.3 KiB
JSON
Generated
98 lines
3.3 KiB
JSON
Generated
{
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"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_with_tools[txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:tool_calling]",
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"request": {
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"method": "POST",
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"url": "http://localhost:8000/v1/v1/chat/completions",
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"headers": {},
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"body": {
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"model": "Qwen/Qwen3-0.6B",
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"messages": [
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{
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"role": "system",
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"content": "Pretend you are a weather assistant."
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},
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{
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"role": "user",
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"content": "What's the weather like in San Francisco, CA?"
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}
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],
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"max_tokens": 4096,
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"stream": false,
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"tool_choice": "auto",
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"tools": [
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{
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"type": "function",
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"function": {
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"name": "get_weather",
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"description": "Get the current weather",
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"parameters": {
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"type": "object",
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"properties": {
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"location": {
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"type": "string",
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"description": "The city and state (both required), e.g. San Francisco, CA."
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}
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},
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"required": [
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"location"
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]
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}
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}
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}
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]
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},
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"endpoint": "/v1/chat/completions",
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"model": "Qwen/Qwen3-0.6B"
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},
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"response": {
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"body": {
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"__type__": "openai.types.chat.chat_completion.ChatCompletion",
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"__data__": {
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"id": "rec-744052775cf9",
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"choices": [
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{
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"finish_reason": "tool_calls",
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"index": 0,
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"logprobs": null,
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"message": {
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"content": "<think>\nOkay, the user is asking about the weather in San Francisco, CA. I need to use the get_weather function. The function requires the location parameter, which is provided as San Francisco, CA. I should make sure to format the arguments correctly as a JSON object. Let me check the required parameters again. The location is required, so I can't omit it. I'll structure the tool call with the name \"get_weather\" and the arguments including \"location\": \"San Francisco, CA\". That should get the current weather information for the user.\n</think>\n\n",
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"refusal": null,
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"role": "assistant",
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"annotations": null,
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"audio": null,
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"function_call": null,
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"tool_calls": [
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{
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"id": "chatcmpl-tool-b59dc311dd914d3dbd6d455b122bc39c",
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"function": {
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"arguments": "{\"location\": \"San Francisco, CA\"}",
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"name": "get_weather"
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},
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"type": "function"
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}
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],
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"reasoning_content": null
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},
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"stop_reason": null
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}
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],
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"created": 0,
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"model": "Qwen/Qwen3-0.6B",
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"object": "chat.completion",
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"service_tier": null,
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"system_fingerprint": null,
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"usage": {
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"completion_tokens": 138,
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"prompt_tokens": 185,
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"total_tokens": 323,
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"completion_tokens_details": null,
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"prompt_tokens_details": null
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},
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"prompt_logprobs": null,
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"kv_transfer_params": null
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}
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},
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"is_streaming": false
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},
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"id_normalization_mapping": {}
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}
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