agentsilex 0.2

A transparent, minimal, and hackable agent framework

AgentSilex

A transparent, minimal, and hackable agent framework for developers who want full control.

Why AgentSilex?

While large agent frameworks offer extensive features, they often become black boxes that are hard to understand, customize, or debug. AgentSilex takes a different approach:

• Transparent: Every line of code is readable and understandable. No magic, no hidden complexity.
• Minimal: Core implementation in ~300 lines. You can read the entire codebase in one sitting.
• Hackable: Designed for modification. Fork it, customize it, make it yours.
• Universal LLM Support: Built on LiteLLM, seamlessly switch between 100+ models - OpenAI, Anthropic, Google Gemini, DeepSeek, Azure, Mistral, local LLMs, and more. Change providers with one line of code.
• Educational: Perfect for learning how agents actually work under the hood.

Who is this for?

• Companies who need a customizable foundation for their agent systems
• Developers who want to understand agent internals, not just use them
• Educators teaching AI agent concepts
• Researchers prototyping new agent architectures

Installation

pip install agentsilex

Or with uv:

uv add agentsilex

Quick Start

from agentsilex import Agent, Runner, Session, tool

# Define a simple tool
@tool
def get_weather(city: str) -> str:
    """Get weather information for a city."""
    # In production, this would call a real weather API
    return "SUNNY"

# Create an agent with the weather tool
agent = Agent(
    name="Weather Assistant",
    model="gemini/gemini-2.0-flash",  # Switch models: openai/gpt-4, anthropic/claude-3-5-sonnet, deepseek/deepseek-chat, et al.
    instructions="Help users find weather information using the available tools.",
    tools=[get_weather]
)

# Create a session to track conversation history
session = Session()

# Run the agent with a user query
runner = Runner(agent, session)
result = runner.run("What's the weather in Monte Cristo?")

# Output the result
print("Final output:", result.final_output)

# Access the conversation history
for message in session.get_dialogs():
    print(message)