mirror of
https://github.com/meta-llama/llama-stack.git
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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
56 lines
1.5 KiB
JSON
56 lines
1.5 KiB
JSON
{
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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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"headers": {},
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"body": {
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"model": "llama3.2:3b",
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"messages": [
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{
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"role": "user",
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"content": "OpenAI test 1"
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}
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],
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"stream": false
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},
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"endpoint": "/v1/chat/completions",
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"model": "llama3.2:3b"
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},
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"response": {
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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": "rec-5db0c44c83a4",
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"choices": [
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{
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"finish_reason": "stop",
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"index": 0,
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"logprobs": null,
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"message": {
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"content": "I'm ready to help with the test. What language would you like to use? Would you like to have a conversation, ask questions, or take a specific type of task?",
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"refusal": null,
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"role": "assistant",
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"annotations": null,
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"audio": null,
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"function_call": null,
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"tool_calls": null
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}
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}
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],
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"created": 0,
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"model": "llama3.2:3b",
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"object": "chat.completion",
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"service_tier": null,
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"system_fingerprint": "fp_ollama",
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"usage": {
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"completion_tokens": 37,
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"prompt_tokens": 30,
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"total_tokens": 67,
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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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