> ## Documentation Index
> Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Langfuse via OpenInference

## Overview

This example demonstrates how to instrument your Agno agent with OpenInference and send traces to Langfuse.

## Code

```python theme={null}
import base64
import os

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

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()))
trace_api.set_tracer_provider(tracer_provider=tracer_provider)

# Start instrumenting agno
AgnoInstrumentor().instrument()

agent = Agent(
    name="Stock Price Agent",
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[DuckDuckGoTools(search=True, news=True)],
    instructions="You are a stock price agent. Answer questions in the style of a stock analyst.",
    debug_mode=True,
)

agent.print_response("What is the current price of Tesla?")
```

## Usage

<Steps>
  <Step title="Install Dependencies">
    ```bash theme={null}
    pip install agno openai opentelemetry-sdk opentelemetry-exporter-otlp openinference-instrumentation-agno arize-otel
    ```
  </Step>

  <Step title="Set Environment Variables">
    ```bash theme={null}
    export LANGFUSE_PUBLIC_KEY=<your-public-key>
    export LANGFUSE_SECRET_KEY=<your-secret-key>
    ```
  </Step>

  <Step title="Run the Agent">
    <CodeGroup>
      ```bash Mac theme={null}
      python cookbook/observability/langfuse_via_openinference.py
      ```

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

## Notes

* **Data Regions**: Adjust the `OTEL_EXPORTER_OTLP_ENDPOINT` for your data region or local deployment as needed:
  * `https://us.cloud.langfuse.com/api/public/otel` for the US region
  * `https://cloud.langfuse.com/api/public/otel` for the EU region
  * `http://localhost:3000/api/public/otel` for local deployment