Demo

Real-time streaming response demonstration - see how AgentSilex processes queries and streams results

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(session)
result = runner.run(agent, "What's the weather in Monte Cristo?")

print(result.final_output)
# Output: "The weather in Monte Cristo is SUNNY."

That's it! In just 20 lines, you have a working agent that:

• ✅ Uses any LLM (OpenAI, Anthropic, Google, DeepSeek, etc.)
• ✅ Calls tools to get information
• ✅ Maintains conversation histor...