Merge pull request #36 from Michelklingler/main

Added Langfuse integration tutorial

docs/tutorial/langfuse.md

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+---
+sidebar_position: 7
+title: "Monitoring with Langfuse"
+---
+
+# Monitoring with Langfuse
+
+Integrating [Langfuse](https://cloud.langfuse.com) with LiteLLM allows for detailed observation and recording of API calls. 
+This guide walks you through setting up Langfuse callbacks with LiteLLM.
+
+The local deployment of Langfuse is an option available through their open-source alternative. However, for the convenience of this tutorial, we will utilize the free limited version of their Cloud service. If data privacy is a concern for you, it is recommended to install the local version instead.
+
+## Getting Started with Langfuse
+
+Begin by setting up your Langfuse account and acquiring necessary keys:
+
+1. Create an account at [Langfuse](https://cloud.langfuse.com/auth/sign-up).
+2. Generate and copy your public and private keys.
+
+## Configuring OpenWebUI LiteLLM Proxy for Langfuse
+
+To integrate Langfuse with LiteLLM, you'll need to modify the LiteLLM `config.yaml` file and set environment variables for your Docker container.
+
+### Editing the LiteLLM Configuration File
+
+Edit the LiteLLM `config.yaml` file, located in your host Docker mount point at `/data/litellm/config.yaml`. 
+Add the following under the general settings as shown in the [LiteLLM official documentation](https://litellm.vercel.app/docs/observability/langfuse_integration):
+
+```yaml
+general_settings: {}
+litellm_settings:
+  success_callback: ["langfuse"]
+  failure_callback: ["langfuse"]
+```
+
+### Setting Environment Variables in Docker
+
+When launching the Docker container, pass the Langfuse API keys as environment variables:
+
+```bash
+LANGFUSE_PUBLIC_KEY: Replace "xxxxx" with your actual public key.
+LANGFUSE_SECRET_KEY: Replace "xxxxx" with your actual secret key.
+These variables can be set directly in the docker run command or through a Docker Compose YAML file.
+```
+
+## Testing the Integration
+Once setup is complete, your Langfuse dashboard should start recording every API call made through the LiteLLM integration. This allows for efficient monitoring and troubleshooting of API interactions.
+
+![Langfuse Dashboard](/img/langfuse.png)
+
+## Note
+Ensure that all configurations are correctly set, and environment variables are properly passed to avoid integration issues.