Langfuse Endpoints
Pass-through endpoints for Langfuse - call langfuse endpoints with LiteLLM Virtual Key.
Just replace https://us.cloud.langfuse.com with LITELLM_PROXY_BASE_URL/langfuse 🚀
Example Usage
from langfuse import Langfuse
langfuse = Langfuse(
host="http://localhost:4000/langfuse", # your litellm proxy endpoint
public_key="anything", # no key required since this is a pass through
secret_key="LITELLM_VIRTUAL_KEY", # no key required since this is a pass through
)
print("sending langfuse trace request")
trace = langfuse.trace(name="test-trace-litellm-proxy-passthrough")
print("flushing langfuse request")
langfuse.flush()
print("flushed langfuse request")
Supports ALL Langfuse Endpoints.
Quick Start
Let's log a trace to Langfuse.
- Add Langfuse Public/Private keys to environment
export LANGFUSE_PUBLIC_KEY=""
export LANGFUSE_PRIVATE_KEY=""
- Start LiteLLM Proxy
litellm
# RUNNING on http://0.0.0.0:4000
- Test it!
Let's log a trace to Langfuse!
from langfuse import Langfuse
langfuse = Langfuse(
host="http://localhost:4000/langfuse", # your litellm proxy endpoint
public_key="anything", # no key required since this is a pass through
secret_key="anything", # no key required since this is a pass through
)
print("sending langfuse trace request")
trace = langfuse.trace(name="test-trace-litellm-proxy-passthrough")
print("flushing langfuse request")
langfuse.flush()
print("flushed langfuse request")
Advanced - Use with Virtual Keys
Pre-requisites
Use this, to avoid giving developers the raw Google AI Studio key, but still letting them use Google AI Studio endpoints.
Usage
- Setup environment
export DATABASE_URL=""
export LITELLM_MASTER_KEY=""
export LANGFUSE_PUBLIC_KEY=""
export LANGFUSE_PRIVATE_KEY=""
litellm
# RUNNING on http://0.0.0.0:4000
- Generate virtual key
curl -X POST 'http://0.0.0.0:4000/key/generate' \
-H 'Authorization: Bearer sk-1234' \
-H 'Content-Type: application/json' \
-d '{}'
Expected Response
{
...
"key": "sk-1234ewknldferwedojwojw"
}
- Test it!
from langfuse import Langfuse
langfuse = Langfuse(
host="http://localhost:4000/langfuse", # your litellm proxy endpoint
public_key="anything", # no key required since this is a pass through
secret_key="sk-1234ewknldferwedojwojw", # no key required since this is a pass through
)
print("sending langfuse trace request")
trace = langfuse.trace(name="test-trace-litellm-proxy-passthrough")
print("flushing langfuse request")
langfuse.flush()
print("flushed langfuse request")