> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-service-account.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# LangWatch Integration

> Demonstrates instrumenting an Agno agent and sending traces to LangWatch.

```python langwatch_op.py theme={null}
"""
LangWatch Integration
=====================

Demonstrates instrumenting an Agno agent and sending traces to LangWatch.
"""

import langwatch
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.yfinance import YFinanceTools
from openinference.instrumentation.agno import AgnoInstrumentor

# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
# Initialize LangWatch and instrument Agno
langwatch.setup(instrumentors=[AgnoInstrumentor()])


# ---------------------------------------------------------------------------
# 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.",
    debug_mode=True,
)


# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response("What is the current price of Tesla?")
```

## Run the Example

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

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

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

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

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

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

Full source: [cookbook/observability/langwatch\_op.py](https://github.com/agno-agi/agno/blob/main/cookbook/observability/langwatch_op.py)