Individual skill
langchain-otel-observability
Wire LangChain 1.0 / LangGraph 1.0 traces into an OpenTelemetry-native backend (Jaeger, Honeycomb, Grafana Tempo, Datadog) with LLM-specific SLOs, safe prompt-content policy, and subgraph-aware span propagation. Use when LangSmith is not the right fit (existing OTEL stack, compliance, multi-cloud) or alongside LangSmith for deep-system traces. Trigger with "langchain OTEL", "langchain opentelemetry", "langchain jaeger", "langchain honeycomb", "langchain SLO", "LLM span", "langchain tempo", "langchain datadog tracing".
plugins/saas-packs/langchain-py-pack/skills/langchain-otel-observability/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Observed behavior
- Not checked yet
- Last checked
- Nov 12, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 2,916
- Repository last updated
- Nov 12, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- langchain Declared skill tag
- langgraph Declared skill tag
- python Declared skill tag
- langchain-1.0 Declared skill tag
- observability Declared skill tag
- opentelemetry Declared skill tag
- jaeger Declared skill tag
- honeycomb Declared skill tag
- engineering Derived category
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SKILL.mdcore · 14,505 bytesSKILL.mdcore · 14,505 bytesSKILL.mdcore · 14,505 bytesSKILL.mdcore · 14,505 bytesSKILL.mdcore · 14,505 bytesSKILL.mdcore · 14,505 bytesreferences/backend-setup-matrix.mddoc · 7,072 bytesreferences/genai-semantic-conventions.mddoc · 6,886 bytesreferences/llm-slo-dashboards.mddoc · 6,255 bytesreferences/one-pager.mddoc · 3,664 bytesreferences/prompt-content-policy.mddoc · 7,130 bytes
Read excerpt
# LangChain OTEL Observability (Python)
## Overview
An engineer wires OpenTelemetry expecting to see prompts and responses in
Honeycomb. The traces land — but only timing, model name, and token counts
appear. The prompt body is blank. This is **not** a bug: it's the OTEL GenAI
semantic-conventions privacy-safe default (P27), where
`OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT` is off. The instinct is to
flip it on and move on. On a multi-tenant workload that flip is a leak — the
next engineer to search traces for Tenant A sees Tenant B's PII in the results,
because redaction was supposed to happen upstream and never did.
A second trap lives inside LangGraph. A `BaseCallbackHandler` attached to the
parent runnable never fires on inner agent tool calls, because LangGraph