How to self-host Langfuse

git clone https://github.com/langfuse/langfuse.git
cd langfuse
# For local Docker deployment
./scripts/docker-up.sh

# Or deploy on Kubernetes
kubectl apply -f k8s/deployment.yaml

# Install Langfuse Python SDK
pip install langfuse

import os
from langfuse import Langfuse

# Set environment variables for your self-hosted Langfuse
os.environ["LANGFUSE_PUBLIC_KEY"] = "your-public-key"
os.environ["LANGFUSE_SECRET_KEY"] = "your-secret-key"

# Initialize Langfuse client with self-hosted endpoint
langfuse = Langfuse(
    public_key=os.environ["LANGFUSE_PUBLIC_KEY"],
    secret_key=os.environ["LANGFUSE_SECRET_KEY"],
    host="http://localhost:3000"  # Replace with your backend URL
)

# Example: instrument a function call
@langfuse.observe()
def call_ai_model(prompt: str) -> str:
    # Simulate AI call
    return f"Response to: {prompt}"

result = call_ai_model("Hello Langfuse")
print("AI call result:", result)

import asyncio
from langfuse import Langfuse

async def main():
    langfuse = Langfuse(
        public_key=os.environ["LANGFUSE_PUBLIC_KEY"],
        secret_key=os.environ["LANGFUSE_SECRET_KEY"],
        host="http://localhost:3000"
    )

    @langfuse.observe()
    async def async_ai_call(prompt: str) -> str:
        await asyncio.sleep(0.1)  # Simulate async call
        return f"Async response to: {prompt}"

    result = await async_ai_call("Async Langfuse")
    print("Async AI call result:", result)

asyncio.run(main())