any-agent
any-agent
is a Python library providing a single interface to different agent frameworks.
Warning
Compared to traditional code-defined workflows, agent frameworks introduce complexity and demand much more computational power.
Before jumping to use one, carefully consider and evaluate how much value you would get compared to manually defining a sequence of tools and LLM calls.
Quickstart
To define any agent system you will always use the same imports:
Note
If you plan on using an agent that requires access to an external service (e.g. OpenAI, Mistral, DeepSeek, etc), you'll need to set any relevant environment variables, e.g.
Single Agent
Configure the agent:
from any_agent.tools import search_web, visit_webpage
main_agent = AgentConfig(
model_id="gpt-4o",
tools=[search_web, visit_webpage]
)
Choose one of the available frameworks:
from random import choice
framework = choice(
["langchain", "llama_index", "openai", "smolagents"]
)
Create and run the agent:
Multi-Agent
Building on top of the previous example, we can easily extend it to a multi-agent system.
Warning
A multi-agent system introduces even more complexity than a single agent.
As stated before, carefully consider whether you need to adopt this pattern to solve the task.
First, configure the main_agent
, similar to before:
This agent will act as the "orchestrator".
Then, configure the list of managed_agents
:
from any_agent.tools import search_web, visit_webpage
managed_agents = [
AgentConfig(
name="search_web_agent",
model_id="gpt-4o-mini",
description="Agent that can search the web",
tools=[search_web]
),
AgentConfig(
name="visit_webpage_agent",
model_id="gpt-4o-mini",
description="Agent that can visit webpages",
tools=[visit_webpage]
)
]
You can then create and run the multi-agent: