Currently, we only support 2 patterns that can be implemented (almost) consistently across frameworks:
single agent and multi-agent in the form of "manager" + "managed agents".
Don't hesitate to open an issue https://github.com/mozilla-ai/any-agent/issues to discuss what other patterns would be useful
langchain and llama_index, in addition to the other frameworks:from any_agent import AgentConfig, AgentFramework, AnyAgent
from any_agent.tracing import setup_tracing
framework = AgentFramework("langchain") # also in AgentFramework("llama_index") and the rest of frameworks
setup_tracing(framework)
agent = AnyAgent.create(
framework,
AgentConfig(
model_id="gpt-4.1-mini",
instructions="You are the main agent. Use the other available agents to find an answer",
),
managed_agents=[
AgentConfig(
name="search_web_agent",
description="An agent that can search the web",
model_id="gpt-4.1-nano",
tools=["any_agent.tools.search_web"]
),
AgentConfig(
name="visit_webpage_agent",
description="An agent that can visit webpages",
model_id="gpt-4.1-nano",
tools=["any_agent.tools.visit_webpage"]
)
]
)
agent.run("Which Agent Framework is the best??")
any-agent
any-agent 🚀 agent = AnyAgent.create(
AgentFramework("google"),
AgentConfig(
model_id="gpt-4o-mini"
)
)
agent.run("Which Agent Framework is the best??")
any-agent. from any_agent import AgentConfig, AgentFramework, AnyAgent
agent = AnyAgent.create(
AgentFramework("smolagents"), # or openai, langchain, llama_index
AgentConfig(
model_id="gpt-4o-mini"
)
)
agent.run("Which Agent Framework is the best??")
pruna package that can be easily installed with pip install pruna :) It allows to easily ccompress and evaluate AI models including transformers and diffusers.
