> ## Documentation Index
> Fetch the complete documentation index at: https://agno-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.

```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-5.6-luna"),
    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

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

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno openai yfinance
```

**2. Export environment variables**

```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"
```

**3. Run the example**

Save the code above as `agent.py`, then run:

```bash theme={null}
python agent.py
```

Full source: [cookbook/90\_models/langdb/agent.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/langdb/agent.py)


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