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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>
92 lines
3 KiB
JSON
Generated
92 lines
3 KiB
JSON
Generated
{
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"test_id": "tests/integration/inference/test_tools_with_schemas.py::TestOpenAICompatibility::test_openai_chat_completion_with_tools[openai_client-txt=vllm/Qwen/Qwen3-0.6B]",
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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": "user",
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"content": "What's the weather in Tokyo?"
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}
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],
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"max_tokens": 4096,
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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 weather information",
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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": "City name"
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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-496035259763",
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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 Tokyo. I need to use the get_weather function for that. The function requires the location parameter, which in this case is Tokyo. I should make sure to specify \"Tokyo\" as the location. Let me check if there are any other parameters needed, but no, the function only needs the location. So the tool call should be straightforward. I'll format the JSON correctly inside the tool_call tags.\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-959b557fa67e4134a2391f5d35e5d5ae",
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"function": {
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"arguments": "{\"location\": \"Tokyo\"}",
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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": 117,
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"prompt_tokens": 158,
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"total_tokens": 275,
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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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