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

# Web Search Agent

> Give a LangDB agent web search tools.

## Code

```python web_search.py theme={null}
from agno.agent import Agent
from agno.models.langdb import LangDB
from agno.tools.websearch import WebSearchTools

agent = Agent(
    model=LangDB(id="llama3-1-70b-instruct-v1.0"),
    tools=[WebSearchTools()],
    markdown=True,
)
agent.print_response("What's happening in France?", stream=True)
```

## Usage

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

  <Step title="Export environment variables">
    ```bash theme={null}
    export LANGDB_API_KEY="your_langdb_api_key"
    export LANGDB_PROJECT_ID="your_langdb_project_id"
    export LANGDB_API_BASE_URL="https://api.langdb.ai"
    ```
  </Step>

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

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

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