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". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langchain-otel-observability --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 in
What does the langchain-otel-observability skill do?
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". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langchain-otel-observability --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.