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Add comprehensive model tracking across all OTEL metrics and logs: - Node execution metrics now include model_name for LLM operations - Suggested question metrics include model_provider and model_name - Dataset retrieval captures both embedding and rerank model info - Updated DATA_DICTIONARY.md with complete metric label documentation This enables granular cost tracking, performance analysis, and usage monitoring per model across all operation types. |
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| .. | ||
| aliyun_trace | ||
| arize_phoenix_trace | ||
| entities | ||
| langfuse_trace | ||
| langsmith_trace | ||
| mlflow_trace | ||
| opik_trace | ||
| tencent_trace | ||
| weave_trace | ||
| __init__.py | ||
| base_trace_instance.py | ||
| ops_trace_manager.py | ||
| utils.py | ||