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
1.8 KiB
JSON
Generated
56 lines
1.8 KiB
JSON
Generated
{
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"request": {
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"method": "POST",
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"url": "http://localhost:8080/v1/v1/chat/completions",
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"headers": {},
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"body": {
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"model": "Qwen/Qwen3-0.6B",
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"messages": [
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{
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"role": "user",
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"content": "Hello, world!"
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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": "Qwen/Qwen3-0.6B"
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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-27463384d1a3",
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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": "<think>\nOkay, the user just said \"Hello, world!\" so I need to respond in a friendly way. My prompt says to respond in the same style, so I should start with \"Hello, world!\" but maybe add some helpful information. Let me think. Since the user is probably testing or just sharing, a simple \"Hello, world!\" with a question would be best for user interaction. I'll make sure to keep it positive and open-ended.\n</think>\n\nHello, world! \ud83d\ude0a What do you need today?",
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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": "Qwen/Qwen3-0.6B",
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"object": "chat.completion",
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"service_tier": null,
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"system_fingerprint": "3.3.5-dev0-sha-1b90c50",
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"usage": {
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"completion_tokens": 108,
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"prompt_tokens": 12,
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"total_tokens": 120,
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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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