llama-stack-mirror/tests/integration/common/recordings/b2c646582d0a4d9d8986789261c0d630d5b604ee6291cf8aa3d44ab761f2c676.json
Ashwin Bharambe 045a0c1d57
feat(tests): implement test isolation for inference recordings (#3681)
Uses test_id in request hashes and test-scoped subdirectories to prevent
cross-test contamination. Model list endpoints exclude test_id to enable
merging recordings from different servers.

Additionally, this PR adds a `record-if-missing` mode (which we will use
instead of `record` which records everything) which is very useful.

🤖 Co-authored with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude <noreply@anthropic.com>
2025-10-04 11:34:18 -07:00

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{
"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"
}
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"temperature": 0.7
},
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"model": "llama3.2:3b-instruct-fp16"
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"__data__": {
"id": "rec-382c2f22274c",
"choices": [
{
"finish_reason": "length",
"index": 0,
"logprobs": null,
"message": {
"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",
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