> ## Documentation Index
> Fetch the complete documentation index at: https://ikun.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Async Tools

Agno Agents 可以并发执行多个工具，让您能够高效地处理模型进行的函数调用。当函数涉及耗时操作时，这一点尤其有价值。它能提高响应速度并缩短整体执行时间。

下面是一个示例：

```python async_tools.py theme={null}
import asyncio
import time

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.utils.log import logger

async def atask1(delay: int):
    """Simulate a task that takes a random amount of time to complete
    Args:
        delay (int): The amount of time to delay the task
    """
    logger.info("Task 1 has started")
    for _ in range(delay):
        await asyncio.sleep(1)
        logger.info("Task 1 has slept for 1s")
    logger.info("Task 1 has completed")
    return f"Task 1 completed in {delay:.2f}s"


async def atask2(delay: int):
    """Simulate a task that takes a random amount of time to complete
    Args:
        delay (int): The amount of time to delay the task
    """
    logger.info("Task 2 has started")
    for _ in range(delay):
        await asyncio.sleep(1)
        logger.info("Task 2 has slept for 1s")
    logger.info("Task 2 has completed")
    return f"Task 2 completed in {delay:.2f}s"


async def atask3(delay: int):
    """Simulate a task that takes a random amount of time to complete
    Args:
        delay (int): The amount of time to delay the task
    """
    logger.info("Task 3 has started")
    for _ in range(delay):
        await asyncio.sleep(1)
        logger.info("Task 3 has slept for 1s")
    logger.info("Task 3 has completed")
    return f"Task 3 completed in {delay:.2f}s"


async_agent = Agent(
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[atask2, atask1, atask3],
    show_tool_calls=True,
    markdown=True,
)

asyncio.run(
    async_agent.aprint_response("Please run all tasks with a delay of 3s", stream=True)
)
```

运行 Agent：

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

export OPENAI_API_KEY=***

python async_tools.py
```

如何使用：

1. 为您的 Agent 提供一个工具列表，最好是异步工具以获得最佳性能。不过，同步函数也可以使用，因为它们将在单独的线程上并发执行。
2. 使用 `arun` 或 `aprint_response` 方法运行 Agent，以启用工具调用的并发执行。

<Note>
  工具的并发执行需要模型支持并行函数调用。例如，OpenAI 模型有一个
  `parallel_tool_calls` 参数（默认启用），允许同时请求和执行多个工具调用。
</Note>

在此示例中，`gpt-4o` 调用 `atask1`、`atask2` 和 `atask3` 三个工具。通常情况下，这些工具调用会顺序执行，但通过使用 `aprint_response` 函数，它们会并发运行，从而缩短执行时间。

<img height="200" src="https://mintcdn.com/ikun/QKpfPChraOG28GfC/images/async-tools.png?fit=max&auto=format&n=QKpfPChraOG28GfC&q=85&s=13f1391a7d899e0980a3d1dc34cc0879" style={{ borderRadius: "8px" }} data-path="images/async-tools.png" />