> ## 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.

# Exa Tools

> Search, answer, and find similar pages with ExaTools, restricting results to specific news domains.

```python exa_tools.py theme={null}
"""
Exa Tools
=============================

Demonstrates exa tools.
"""

from agno.agent import Agent
from agno.tools.exa import ExaTools

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


# Example 1: Enable all tools
agent_all = Agent(
    tools=[
        ExaTools(
            all=True,  # Enable all exa tools
            show_results=True,
        )
    ],
    markdown=True,
)

# Example 2: Enable specific tools only
agent_specific = Agent(
    tools=[
        ExaTools(
            enable_search=True,
            enable_answer=True,
            enable_get_contents=False,
            enable_find_similar=False,
            enable_research=False,
            include_domains=["cnbc.com", "reuters.com", "bloomberg.com"],
            show_results=True,
            text=False,
        )
    ],
    markdown=True,
)

# Example 3: Default behavior (most functions enabled by default)
agent = Agent(
    tools=[
        ExaTools(
            include_domains=["cnbc.com", "reuters.com", "bloomberg.com"],
            show_results=True,
            text=False,
        )
    ],
    markdown=True,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response("Search for AAPL news", markdown=True)

    agent = Agent(
        tools=[
            ExaTools(
                show_results=True,
            )
        ],
        markdown=True,
    )

    agent.print_response("Search for AAPL news", markdown=True)

    agent.print_response(
        "What is the paper at https://arxiv.org/pdf/2307.06435 about?", markdown=True
    )

    agent.print_response(
        "Find me similar papers to https://arxiv.org/pdf/2307.06435 and provide a summary of what they contain",
        markdown=True,
    )

    agent.print_response(
        "What is the latest valuation of SpaceX?",
        markdown=True,
    )
```

## Run the Example

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

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

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

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

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

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

Full source: [cookbook/91\_tools/exa\_tools.py](https://github.com/agno-agi/agno/blob/main/cookbook/91_tools/exa_tools.py)