{ "test_id": null, "request": { "method": "POST", "url": "http://0.0.0.0:11434/v1/v1/chat/completions", "headers": {}, "body": { "model": "llama3.2:3b-instruct-fp16", "messages": [ { "role": "user", "content": "Test trace openai with temperature 0" } ], "max_tokens": 100, "stream": false, "temperature": 0.7, "extra_body": {} }, "endpoint": "/v1/chat/completions", "model": "llama3.2:3b-instruct-fp16" }, "response": { "body": { "__type__": "openai.types.chat.chat_completion.ChatCompletion", "__data__": { "id": "rec-97d4dfd27714", "choices": [ { "finish_reason": "length", "index": 0, "logprobs": null, "message": { "content": "I can provide you with some guidance on how to test the OpenAI API with a temperature of 0.\n\nOpenAI's text generation model, specifically the \"text-davinci-2\" model, has a parameter called `temperature` that controls the variability and diversity of the generated text. A lower temperature value generates more coherent and less varied text, while a higher value generates more diverse and varied text.\n\nHere's an example code snippet in Python using the Hugging Face Transformers library to test the", "refusal": null, "role": "assistant", "annotations": null, "audio": null, "function_call": null, "tool_calls": null } } ], "created": 0, "model": "llama3.2:3b-instruct-fp16", "object": "chat.completion", "service_tier": null, "system_fingerprint": "fp_ollama", "usage": { "completion_tokens": 100, "prompt_tokens": 33, "total_tokens": 133, "completion_tokens_details": null, "prompt_tokens_details": null } } }, "is_streaming": false } }