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docs: simplify integration path section
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docs/claude-agent/mlflow-tracing.md

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@@ -47,11 +47,7 @@ This works the same whether the backend is Vertex AI, vLLM directly, or OGX →
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### Integration Path
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| Path | Status |
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|---|---|
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| **Agent-level → MLflow** (`mlflow autolog claude`) | ✅ Working — tested across all three backends |
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| OGX → custom exporter → MLflow | 🔲 Future — would add server-side signals on top |
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| OGX → OTel → MLflow | 🔲 Future — requires OTel support in both OGX and MLflow |
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The Claude Code stop hook is the right integration path. It already captures everything out of the box — tool calls, token usage, latency, session ID — and works the same across Vertex AI, vLLM, and OGX without any changes. If additional server-side metrics are needed (e.g. per-hop vLLM latency, OGX routing decisions), they can be added directly to the same hook since the infrastructure is already there.
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### Evidence: Same Traces Across All Three Backends
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