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feat(tests): auto-merge all model list responses and unify recordings

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This commit is contained in:
Ashwin Bharambe 2025-09-03 10:27:44 -07:00
parent faf891b40c
commit 34f5da6cdc
121 changed files with 17457 additions and 16126 deletions
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8
tests/integration/recordings/responses/382c2f22274c.json
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@ -1,7 +1,7 @@
{
"request": {
"method": "POST",
"url": "http://localhost:11434/v1/v1/chat/completions",
"url": "http://0.0.0.0:11434/v1/v1/chat/completions",
"headers": {},
"body": {
"model": "llama3.2:3b-instruct-fp16",
@ -22,14 +22,14 @@
"body": {
"__type__": "openai.types.chat.chat_completion.ChatCompletion",
"__data__": {
"id": "chatcmpl-339",
"id": "chatcmpl-442",
"choices": [
{
"finish_reason": "length",
"index": 0,
"logprobs": null,
"message": {
"content": "I can guide you through the process, but please note that this is not an official OpenAI API call. OpenAI's API terms and conditions prohibit using their models for malicious purposes.\n\nTo test a model like \"text-temperature\" with a temperature of 0 (i.e., no noise or randomness), we'll need to use a third-party library that connects to the OpenAI API. One such library is `transformers`.\n\nFirst, you need to install the `transformers` and `",
"content": "I can guide you on how to use the `test-temperature` parameter with OpenAI's API, but please note that using a temperature of 0 may not produce meaningful results. Temperature is a hyperparameter that controls the level of randomness in the model's output.\n\nOpenAI's API uses a variant of the GPT-3 model, which is trained on a large corpus of text data. The `test-temperature` parameter allows you to adjust the level of randomness in the model's output",
"refusal": null,
"role": "assistant",
"annotations": null,
@ -39,7 +39,7 @@
}
}
],
"created": 1754510065,
"created": 1756921254,
"model": "llama3.2:3b-instruct-fp16",
"object": "chat.completion",
"service_tier": null,