any-agent

any-agentは、Pythonで構築された自動化ツールであり、さまざまなタスクを効率的に処理できます。ユーザーは簡単にエージェントを作成し、特定の業務フローを自動化することが可能です。直感的なインターフェースを持ち、複雑なプログラミング知識がなくても利用できるため、多くの業界での活用が期待されています。

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any-agent

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Python 3.11+
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A single interface to use and evaluate different agent frameworks.

Documentation
Supported Frameworks

TinyAgent Google ADK LangChain LlamaIndex OpenAI Agents Smolagents Agno AI

Planned for Support (Contributions Welcome!)

Open Github tickets for new frameworks

Requirements
  • Python 3.11 or newer
Quickstart

Refer to pyproject.toml for a list of the options available.
Update your pip install command to include the frameworks that you plan on using:

pip install 'any-agent'

To define any agent system you will always use the same imports:

from any_agent import AgentConfig, AnyAgent

For this example we use a model hosted by Mistral, but you may need to set the relevant API key for whichever provider being used.
See our Model docs for more information about using different models.

export MISTRAL_API_KEY="YOUR_KEY_HERE"  # or OPENAI_API_KEY, etc
from any_agent.tools import search_web, visit_webpage

agent = AnyAgent.create(
    "tinyagent",  # See all options in https://mozilla-ai.github.io/any-agent/
    AgentConfig(
        model_id="mistral/mistral-small-latest",
        instructions="Use the tools to find an answer",
        tools=[search_web, visit_webpage]
    )
)

agent_trace = agent.run("Which Agent Framework is the best??")
print(agent_trace)

[!TIP]
Multi-agent can be implemented using Agents-As-Tools.

Cookbooks

Get started quickly with these practical examples:

Contributions

The AI agent space is moving fast! If you see a new agentic framework that AnyAgent doesn't yet support, we would love for you to create a Github issue. We also welcome your support in development of additional features or functionality.

Running in Jupyter Notebook

If running in Jupyter Notebook you will need to add the following two lines before running AnyAgent, otherwise you may see the error RuntimeError: This event loop is already running. This is a known limitation of Jupyter Notebooks, see Github Issue

import nest_asyncio
nest_asyncio.apply()