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