# Tools

Tools are functions that an Agent can run to achieve tasks. For example: searching the web, running SQL, sending an email or calling APIs. You can use any python function as a tool or use a pre-built **toolkit**. The general syntax is:

```python
from bitca.agent import Agent

agent = Agent(
    # Add functions or Toolkits
    tools=[...],
    # Show tool calls in the Agent response
    show_tool_calls=True
)
```

### Using a Toolkit <a href="#using-a-toolkit" id="using-a-toolkit"></a>

Bitca provides many pre-built **toolkits** that you can add to your Agents. For example, let’s use the DuckDuckGo toolkit to search the web.

{% stepper %}
{% step %}
Create Web Search Agent

\
Create a file `web_search.py`

web\_search.py

```python
from bitca.agent import Agent
from bitca.tools.duckduckgo import DuckDuckGo

agent = Agent(tools=[DuckDuckGo()], show_tool_calls=True, markdown=True)
agent.print_response("Whats happening in France?", stream=True)
```

{% endstep %}

{% step %}
**Run the agent**

Install libraries

```shell
pip install openai duckduckgo-search bitca
```

**Run the agent**

```shell
python web_search.py
```

### Writing your own Tools <a href="#writing-your-own-tools" id="writing-your-own-tools"></a>

For more control, write your own python functions and add them as tools to an Agent. For example, here’s how to add a `get_top_hackernews_stories` tool to an Agent.

hn\_agent.py

```python
import json
import httpx

from bitca.agent import Agent


def get_top_hackernews_stories(num_stories: int = 10) -> str:
    """Use this function to get top stories from Hacker News.

    Args:
        num_stories (int): Number of stories to return. Defaults to 10.

    Returns:
        str: JSON string of top stories.
    """

    # Fetch top story IDs
    response = httpx.get('https://hacker-news.firebaseio.com/v0/topstories.json')
    story_ids = response.json()

    # Fetch story details
    stories = []
    for story_id in story_ids[:num_stories]:
        story_response = httpx.get(f'https://hacker-news.firebaseio.com/v0/item/{story_id}.json')
        story = story_response.json()
        if "text" in story:
            story.pop("text", None)
        stories.append(story)
    return json.dumps(stories)

agent = Agent(tools=[get_top_hackernews_stories], show_tool_calls=True, markdown=True)
agent.print_response("Summarize the top 5 stories on hackernews?", stream=True)
```

Read more about:

* [Available toolkits](https://docs.phidata.com/tools/toolkits)
* [Using functions as tools](https://docs.phidata.com/tools/functions)
  {% endstep %}
  {% endstepper %}

### Attributes <a href="#attributes" id="attributes"></a>

The following attributes allow an `Agent` to use tools

| Parameter                | Type                                                   | Default | Description                                                                                                                                                                                                                                                                                                                                                                                                                                         |
| ------------------------ | ------------------------------------------------------ | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `tools`                  | `List[Union[Tool, Toolkit, Callable, Dict, Function]]` | -       | A list of tools provided to the Model. Tools are functions the model may generate JSON inputs for.                                                                                                                                                                                                                                                                                                                                                  |
| `show_tool_calls`        | `bool`                                                 | `False` | Print the signature of the tool calls in the Model response.                                                                                                                                                                                                                                                                                                                                                                                        |
| `tool_call_limit`        | `int`                                                  | -       | Maximum number of tool calls allowed.                                                                                                                                                                                                                                                                                                                                                                                                               |
| `tool_choice`            | `Union[str, Dict[str, Any]]`                           | -       | Controls which (if any) tool is called by the model. “none” means the model will not call a tool and instead generates a message. “auto” means the model can pick between generating a message or calling a tool. Specifying a particular function via `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that tool. “none” is the default when no tools are present. “auto” is the default if tools are present. |
| `read_chat_history`      | `bool`                                                 | `False` | Add a tool that allows the Model to read the chat history.                                                                                                                                                                                                                                                                                                                                                                                          |
| `search_knowledge`       | `bool`                                                 | `False` | Add a tool that allows the Model to search the knowledge base (aka Agentic RAG).                                                                                                                                                                                                                                                                                                                                                                    |
| `update_knowledge`       | `bool`                                                 | `False` | Add a tool that allows the Model to update the knowledge base.                                                                                                                                                                                                                                                                                                                                                                                      |
| `read_tool_call_history` | `bool`                                                 | `False` | Add a tool that allows the Model to get the tool call history.                                                                                                                                                                                                                                                                                                                                                                                      |