langfuse-observability
PackMonitoring & opsLangfuse observability is a plugin for Claude Code that captures traces, spans, and session telemetry from your agent's work and exports them to Langfuse. It gives you a record of what the agent did during each task, so you can review its behavior, debug problems, and run evaluations.
Unavailable. Delivery for this kind is on the roadmap — not serving yet.
Have a Claude Code setup and access to a Langfuse account or instance.
What your AI can do with it
- Captures traces of agent activity during each task
- Records spans within each trace
- Collects session telemetry from Claude Code
- Exports traces, spans, and telemetry to Langfuse
- Supports LLM monitoring and debugging in Langfuse
- Supports evaluation workflows using exported data
Getting started
- Have a Claude Code setup and access to a Langfuse account or instance.
- Install the langfuse-observability plugin.
- Configure the plugin with your Langfuse connection details.
- Run tasks in Claude Code and review the exported traces in Langfuse.
Signals
- GitHub stars
- 37k
- Forks
- 4k
- Last commit
- Sep 2026
Questions
- What does this plugin do?
- It captures traces, spans, and session telemetry from Claude Code and exports them to Langfuse, so you can monitor, debug, and evaluate what your agent does during each task.
- Do I need a Langfuse account?
- Yes. The plugin exports telemetry to Langfuse, so you need somewhere to send that data before traces will be available for review.
- Can I use it for debugging agent behavior?
- Yes. Reviewing exported traces and spans in Langfuse lets you see what the agent did during a task and debug problems.
Advanced
- Item type
- plugin
- Key
anthropics-claude-plugins-official-langfuse-observability- Source
- github.com/anthropics/claude-plugins-official