> ## 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.

# Basic Advisor

> The simplest usage of AdvisorTools: give your agent a single advisor model it can ask for feedback, a second opinion, or additional context.

```python basic.py theme={null}
"""
Basic Advisor
=============
The simplest usage of AdvisorTools: give your agent a single advisor model
it can ask for feedback, a second opinion, or additional context.

How it works:
1. The primary agent (OpenAI) drafts a response
2. It calls `ask_advisor` with a specific question and relevant context
3. The advisor (Gemini) answers without seeing the rest of the conversation
4. The primary agent decides what to incorporate into its final answer

Unlike a critique loop, the agent stays in control: advisor responses are
advice, not instructions.
"""

from agno.agent import Agent
from agno.models.google import Gemini
from agno.models.openai import OpenAIResponses
from agno.tools.advisor import AdvisorTools

# ---------------------------------------------------------------------------
# Create Agent with a single Gemini advisor
# ---------------------------------------------------------------------------

agent = Agent(
    model=OpenAIResponses(id="gpt-5.5"),
    tools=[
        AdvisorTools(
            advisors=[Gemini(id="gemini-3.5-flash")],
        )
    ],
    instructions=[
        "After drafting a response, ask your advisor for a second opinion.",
        "Incorporate the suggestions you agree with into your final answer.",
    ],
    markdown=True,
)

# ---------------------------------------------------------------------------
# Run
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    agent.print_response(
        "Explain how DNS resolution works when you type a URL in your browser",
        stream=True,
    )
```

## Run the Example

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

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

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

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

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

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

Full source: [cookbook/91\_tools/advisor\_tools/01\_basic.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/91_tools/advisor_tools/01_basic.py)