bd26f5a80f
Surface gen_ai.* model + token attributes onto the active span so Langfuse can compute cost — without touching everalgo: - UsageRecordingClient wraps the LLM client and records response.usage after each chat(); get_llm_client composes it over the existing _LoggingLLMClient only when observability is enabled (disabled default stays overhead-free). - OpenAIEmbeddingProvider records its response.usage (input tokens) onto the active span too. Tokens land on the everos.extract / everos.reflect.consolidate generation spans and the search embedding recall; no-op when tracing is off. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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| .. | ||
| test_config | ||
| test_embedding | ||
| test_llm | ||
| test_rerank | ||
| test_tokenizer | ||
| test_utils | ||
| __init__.py | ||