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

# Agent

> Fetch NVDA and TSLA stock prices with YFinance tools through LangDB.

<Warning>
  Agno v2.7.2 defaults LangDB requests to the legacy regional host `https://api.us-east-1.langdb.ai`. Export `LANGDB_API_BASE_URL=https://api.langdb.ai` to use LangDB's current API host.
</Warning>

```python agent.py theme={null}
"""Run `uv pip install yfinance` to install dependencies."""

from agno.agent import Agent, RunOutput  # noqa
from agno.models.langdb import LangDB
from agno.tools.yfinance import YFinanceTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

agent = Agent(
    model=LangDB(id="gpt-4o"),
    tools=[YFinanceTools()],
    instructions=["Use tables where possible."],
    markdown=True,
)

# Get the response in a variable
# run: RunOutput = agent.run("What is the stock price of NVDA and TSLA")
# print(run.content)

# Print the response in the terminal

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    # --- Sync ---
    agent.print_response("What is the stock price of NVDA and TSLA")

    # --- Sync + Streaming ---
    agent.print_response("What is the stock price of NVDA and TSLA", stream=True)
```

## Run the Example

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

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

  <Step title="Export environment variables">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export LANGDB_API_BASE_URL="https://api.langdb.ai"
      export LANGDB_API_KEY="your_langdb_api_key_here"
      export LANGDB_PROJECT_ID="your_langdb_project_id_here"
      ```

      ```bash Windows theme={null}
      $Env:LANGDB_API_BASE_URL="https://api.langdb.ai"
      $Env:LANGDB_API_KEY="your_langdb_api_key_here"
      $Env:LANGDB_PROJECT_ID="your_langdb_project_id_here"
      ```
    </CodeGroup>
  </Step>

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

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

Full source: [cookbook/90\_models/langdb/agent.py](https://github.com/agno-agi/agno/blob/main/cookbook/90_models/langdb/agent.py)