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
61 lines
2.1 KiB
JSON
61 lines
2.1 KiB
JSON
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"request": {
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"method": "POST",
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"url": "https://api.together.xyz/v1/v1/chat/completions",
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"headers": {},
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"body": {
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"model": "meta-llama/Llama-3.3-70B-Instruct-Turbo-Free",
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"messages": [
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{
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"role": "user",
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"content": "Test trace openai with temperature 1"
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}
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],
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"max_tokens": 100,
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"stream": false,
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"temperature": 0.7
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"endpoint": "/v1/chat/completions",
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"model": "meta-llama/Llama-3.3-70B-Instruct-Turbo-Free"
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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-d2e057a81717",
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"choices": [
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"finish_reason": "length",
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"index": 0,
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"logprobs": null,
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"message": {
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"content": "I'll do my best to generate a response with a temperature of 1. \n\nIn the context of language models like myself, temperature is a parameter that controls the level of randomness or creativity in the generated text. A temperature of 1 is relatively high, which means the model will produce more diverse and potentially less coherent text.\n\nHere's a response with a temperature of 1:\n\n\"The stars shone brightly in the midnight sky, like diamonds scattered across the velvet expanse. The world was bath",
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"refusal": null,
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"role": "assistant",
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"model": "meta-llama/Llama-3.3-70B-Instruct-Turbo-Free",
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"usage": {
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"completion_tokens": 100,
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"is_streaming": false
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