> ## 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.

# 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

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

**1. Install dependencies**

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

**2. Export your API keys**

```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"
```

**3. Run the example**

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

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

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)


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