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feat(tests): auto-merge all model list responses and unify recordings
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faf891b40c
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121 changed files with 17457 additions and 16126 deletions
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@ -1,7 +1,7 @@
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{
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"request": {
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"method": "POST",
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"url": "http://localhost:11434/v1/v1/chat/completions",
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"url": "http://0.0.0.0:11434/v1/v1/chat/completions",
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"headers": {},
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"body": {
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"model": "llama3.2:3b-instruct-fp16",
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@ -22,14 +22,14 @@
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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": "chatcmpl-494",
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"id": "chatcmpl-662",
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"choices": [
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{
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"finish_reason": "length",
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"index": 0,
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"logprobs": null,
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"message": {
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"content": "To test the OpenAI API with a temperature of 1, you can use the following Python code:\n\n```python\nimport requests\n\ndef generate_text(model_name, prompt, temperature=1):\n # Set the API endpoint and parameters\n url = \"https://api.openai.com/v1/models/\" + model_name + \"/generate\"\n params = {\n \"prompt\": prompt,\n \"temperature\": temperature\n }\n\n # Send a GET request to the API\n response =",
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"content": "To test the prompt understanding of OpenAI's text generation capabilities, I'll simulate a conversation. \n\nYou mentioned testing the model with a temperature setting of 1. The temperature parameter in OpenAI's text models controls the diversity and coherence of generated text.\n\nA temperature of 1 is considered \"colder\" than usual, meaning the model will generate more coherent but potentially less diverse text compared to higher temperatures (e.g., 0.5 or 0.7).\n\nPlease provide a prompt for",
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"refusal": null,
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"role": "assistant",
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"annotations": null,
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@ -39,7 +39,7 @@
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}
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}
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],
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"created": 1754510067,
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"created": 1756921259,
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"model": "llama3.2:3b-instruct-fp16",
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"object": "chat.completion",
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"service_tier": null,
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