> ## 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.

# Baidusearch Tools

> Search Baidu in English and Chinese and return the top three results on a topic.

```python baidusearch_tools.py theme={null}
"""
Baidusearch Tools
=============================

Demonstrates baidusearch tools.
"""

from agno.agent import Agent
from agno.tools.baidusearch import BaiduSearchTools

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


agent = Agent(
    tools=[BaiduSearchTools()],
    description="You are a search agent that helps users find the most relevant information using Baidu.",
    instructions=[
        "Given a topic by the user, respond with the 3 most relevant search results about that topic.",
        "Search for 5 results and select the top 3 unique items.",
        "Search in both English and Chinese.",
    ],
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response("What are the latest advancements in AI?", markdown=True)
```

## Run the Example

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

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno baidusearch openai pycountry
```

**2. Export your OpenAI API key**

```bash Mac/Linux theme={null}
export OPENAI_API_KEY="your_openai_api_key_here"
```

```bash Windows theme={null}
$Env:OPENAI_API_KEY="your_openai_api_key_here"
```

**3. Run the example**

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

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

Full source: [cookbook/91\_tools/baidusearch\_tools.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/91_tools/baidusearch_tools.py)


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