> ## 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.

# Thinking Agent

> Enable Gemini thinking with thinking_budget and include thought summaries in the response.

## Code

```python thinking_agent.py theme={null}
from agno.agent import Agent
from agno.models.google import Gemini

task = (
    "Three missionaries and three cannibals need to cross a river. "
    "They have a boat that can carry up to two people at a time. "
    "If, at any time, the cannibals outnumber the missionaries on either side of the river, the cannibals will eat the missionaries. "
    "How can all six people get across the river safely? Provide a step-by-step solution and show the solutions as an ascii diagram"
)

agent = Agent(
    model=Gemini(
        id="gemini-2.5-pro",
        thinking_budget=1280,  # Enable thinking with token budget
        include_thoughts=True,  # Include thought summaries in response
    ),
    markdown=True,
)

agent.print_response(task, stream=True)
```

## Usage

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

**1. Set your API key**

```bash theme={null}
export GOOGLE_API_KEY=xxx
```

**2. Install dependencies**

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

**3. Run Agent**

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

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


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