> ## Documentation Index
> Fetch the complete documentation index at: https://phidatainc.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Langfuse Via OpenInference

> Export Agno agent spans to Langfuse over OTLP HTTP with base64 basic-auth headers and AgnoInstrumentor.

Demonstrates instrumenting an Agno agent with OpenInference and sending traces to Langfuse.

```python langfuse_via_openinference.py theme={null}
"""
Langfuse Via OpenInference
==========================

Demonstrates instrumenting an Agno agent with OpenInference and sending traces to Langfuse.
"""

import asyncio
import base64
import os

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.yfinance import YFinanceTools
from openinference.instrumentation.agno import AgnoInstrumentor
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor

# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
LANGFUSE_AUTH = base64.b64encode(
    f"{os.getenv('LANGFUSE_PUBLIC_KEY')}:{os.getenv('LANGFUSE_SECRET_KEY')}".encode()
).decode()
# os.environ["OTEL_EXPORTER_OTLP_ENDPOINT"] = (
#     "https://us.cloud.langfuse.com/api/public/otel"  # US data region
# )
os.environ["OTEL_EXPORTER_OTLP_ENDPOINT"] = (
    "https://cloud.langfuse.com/api/public/otel"  # EU data region
)
# os.environ["OTEL_EXPORTER_OTLP_ENDPOINT"] = "http://localhost:3000/api/public/otel"  # Local deployment (>= v3.22.0)

os.environ["OTEL_EXPORTER_OTLP_HEADERS"] = f"Authorization=Basic {LANGFUSE_AUTH}"

tracer_provider = TracerProvider()
tracer_provider.add_span_processor(SimpleSpanProcessor(OTLPSpanExporter()))

# Start instrumenting agno
AgnoInstrumentor().instrument(tracer_provider=tracer_provider)


# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
    name="Stock Price Agent",
    model=OpenAIChat(id="gpt-5.2"),
    tools=[YFinanceTools()],
    instructions="You are a stock price agent. Answer questions in the style of a stock analyst.",
)


# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------
async def main() -> None:
    await agent.aprint_response(
        "What is the current price of Tesla? Then find the current price of NVIDIA",
        stream=True,
    )


if __name__ == "__main__":
    asyncio.run(main())
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai openinference-instrumentation-agno opentelemetry-exporter-otlp opentelemetry-sdk yfinance
    ```
  </Step>

  <Step title="Export environment variables">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export LANGFUSE_PUBLIC_KEY="your_langfuse_public_key_here"
      export LANGFUSE_SECRET_KEY="your_langfuse_secret_key_here"
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:LANGFUSE_PUBLIC_KEY="your_langfuse_public_key_here"
      $Env:LANGFUSE_SECRET_KEY="your_langfuse_secret_key_here"
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `langfuse_via_openinference.py`, then run:

    ```bash theme={null}
    python langfuse_via_openinference.py
    ```
  </Step>
</Steps>

Full source: [cookbook/observability/langfuse\_via\_openinference.py](https://github.com/agno-agi/agno/blob/main/cookbook/observability/langfuse_via_openinference.py)