add langfuse to docs

docs/my-website/docs/observability/integrations.md

@@ -4,6 +4,7 @@
 | ----------- | -------------------------------------------------------- | ---------------------------------------- |
 | Promptlayer   | `PROMPLAYER_API_KEY`                                   | `litellm.success_callback=["promptlayer"]` |
 | LLMonitor   | `LLMONITOR_APP_ID`                                       | `litellm.success_callback=["llmonitor"]` |
+| LangFuse   | `LANGFUSE_PUBLIC_KEY`, `LANGFUSE_PRIVATE_KEY`             | `litellm.success_callback=["langfuse"]` |
 | Sentry      | `SENTRY_API_URL`                                         | `litellm.success_callback=["sentry"]`    |
 | Posthog     | `POSTHOG_API_KEY`,`POSTHOG_API_URL`                      | `litellm.success_callback=["posthog"]`   |
 | Slack       | `SLACK_API_TOKEN`,`SLACK_API_SECRET`,`SLACK_API_CHANNEL` | `litellm.success_callback=["slack"]`     |

docs/my-website/docs/observability/langfuse_integration.md

@@ -0,0 +1,42 @@
+# LangFuse Tutorial
+
+LangFuse is open Source Observability & Analytics for LLM Apps
+Detailed production traces and a granular view on quality, cost and latency
+
+<Image img={require('../../img/langfuse.gif')} />
+
+## Use Langfuse to log requests across all LLM Providers (OpenAI, Azure, Anthropic, Cohere, Replicate, PaLM)
+
+liteLLM provides `callbacks`, making it easy for you to log data depending on the status of your responses.
+
+### Using Callbacks
+
+Get your Langfuse API Keys from https://cloud.langfuse.com/
+
+Use just 2 lines of code, to instantly log your responses **across all providers** with langfuse:
+
+```python
+litellm.success_callback = ["langfuse"]
+
+```
+
+Complete code
+
+```python
+from litellm import completion
+
+## set env variables
+os.environ["LANGFUSE_PUBLIC_KEY"] = "your key"
+os.environ["LANGFUSE_SECRET_KEY"] = "your key"
+
+os.environ["OPENAI_API_KEY"], os.environ["COHERE_API_KEY"] = "", ""
+
+# set callbacks
+litellm.success_callback = ["langfuse"]
+
+#openai call
+response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
+
+#cohere call
+response = completion(model="command-nightly", messages=[{"role": "user", "content": "Hi 👋 - i'm cohere"}])
+```

docs/my-website/sidebars.js

@@ -65,6 +65,7 @@ const sidebars = {
         "observability/callbacks",
         "observability/integrations",
         "observability/promptlayer_integration",
+        "observability/langfuse_integration",
         "observability/traceloop_integration",
         "observability/llmonitor_integration",
         "observability/helicone_integration",