mirror of
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3f36bfaeaa
IDs are now deterministic hashes based on request content, and timestamps are normalized to constants, eliminating spurious changes when re-recording tests. ## Changes - Updated `inference_recorder.py` to normalize IDs and timestamps during recording - Added `scripts/normalize_recordings.py` utility to re-normalize existing recordings - Created documentation in `tests/integration/recordings/README.md` - Normalized 350 existing recording files
42 lines
1.1 KiB
JSON
42 lines
1.1 KiB
JSON
{
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"request": {
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"method": "POST",
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"url": "http://0.0.0.0:11434/v1/v1/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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"prompt": "Say completions",
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"max_tokens": 20
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},
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"endpoint": "/v1/completions",
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"model": "llama3.2:3b-instruct-fp16"
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},
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"response": {
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"body": {
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"__type__": "openai.types.completion.Completion",
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"__data__": {
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"id": "rec-41e27b9b5d09",
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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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"text": "You want me to respond with a completion, but you didn't specify what I should complete. Could"
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}
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],
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"created": 0,
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"model": "llama3.2:3b-instruct-fp16",
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"object": "text_completion",
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"system_fingerprint": "fp_ollama",
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"usage": {
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"completion_tokens": 20,
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"prompt_tokens": 28,
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"total_tokens": 48,
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"completion_tokens_details": null,
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"prompt_tokens_details": null
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}
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}
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},
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"is_streaming": false
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}
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}
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