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
40 lines
970 B
JSON
Generated
40 lines
970 B
JSON
Generated
{
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"request": {
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"method": "POST",
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"url": "http://localhost:11434/api/generate",
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"headers": {},
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"body": {
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"model": "llama3.2:3b-instruct-fp16",
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"options": {
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"temperature": 0.0001,
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"top_p": 0.9
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},
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"stream": true
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},
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"endpoint": "/api/generate",
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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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{
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"__type__": "ollama._types.GenerateResponse",
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"__data__": {
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"model": "llama3.2:3b-instruct-fp16",
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"created_at": "1970-01-01T00:00:00.000000Z",
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"done": true,
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"done_reason": "load",
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"total_duration": null,
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"load_duration": null,
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"prompt_eval_count": null,
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"prompt_eval_duration": null,
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"eval_count": null,
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"eval_duration": null,
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"response": "",
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"thinking": null,
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"context": null
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}
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}
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],
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"is_streaming": true
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}
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}
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