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41 lines
1.7 KiB
Markdown
41 lines
1.7 KiB
Markdown
---
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description: Integrate Goose with Langfuse to observe performance
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---
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# Observability with Langfuse
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This tutorial covers how to integrate Goose with Langfuse to monitor your Goose requests and understand how the agent is performing.
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## What is Langfuse
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[Langfuse](https://langfuse.com/) is an [open-source](https://github.com/langfuse/langfuse) LLM engineering platform that enables teams to collaboratively monitor, evaluate, and debug their LLM applications.
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## Set up Langfuse
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Sign up for Langfuse Cloud [here](https://cloud.langfuse.com) or self-host Langfuse [Docker Compose](https://langfuse.com/self-hosting/local) to get your Langfuse API keys.
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## Configure Goose to Connect to Langfuse
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Set the environment variables so that Goose (written in Rust) can connect to the Langfuse server.
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```bash
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export LANGFUSE_INIT_PROJECT_PUBLIC_KEY=pk-lf-...
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export LANGFUSE_INIT_PROJECT_SECRET_KEY=sk-lf-...
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export LANGFUSE_URL=https://cloud.langfuse.com # EU data region 🇪🇺
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# https://us.cloud.langfuse.com if you're using the US region 🇺🇸
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# https://localhost:3000 if you're self-hosting
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```
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## Run Goose with Langfuse Integration
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Now, you can run Goose and monitor your AI requests and actions through Langfuse.
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With Goose running and the environment variables set, Langfuse will start capturing traces of your Goose activities.
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_[Example trace (public) in Langfuse](https://cloud.langfuse.com/project/cloramnkj0002jz088vzn1ja4/traces/cea4ed38-0c44-4b0a-8c20-4b0b6b9e8d73?timestamp=2025-01-31T15%3A52%3A30.362Z&observation=7c8e5807-3c29-4c28-9c6f-7d7427be401f)_
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