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Self-evolving tool synthesis for Strands Agents — agents that create their own tools

Project description

strands-arise

Self-evolving tool synthesis for Strands Agents. Agents that create their own tools.

pip install strands-arise
from strands import Agent
from strands_arise import ARISEPlugin

agent = Agent(
    model=my_model,
    plugins=[ARISEPlugin(
        failure_threshold=3,
        allowed_imports=["json", "re", "hashlib", "csv", "math"],
    )],
)

# Agent evolves tools automatically from failures
result = agent("Parse the CSV with custom delimiters")

How It Works

  1. Agent attempts a task and fails
  2. ARISE detects the capability gap from failure trajectories
  3. An LLM synthesizes a Python tool + test suite
  4. Tool is validated in a sandbox with adversarial testing
  5. Passing tools are promoted to the agent's tool registry
  6. Next invocation, the agent has the new tool available

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