Agent Simulation Engine — pytest for AI agent tool calls
Project description
ASE
ASE is the open pre-production testing and certification layer for agent systems.
ASE helps teams validate what an agent did, not just what it said:
ase watchshows live tool callsase testruns scenarios with assertions on behaviorase comparediffs two runs after a prompt, model, or adapter change
Install
python3.11 -m venv .venv
source .venv/bin/activate
pip install ase-python
Quickstart
ase test examples/customer-support/scenarios/refund-happy-path.yaml
ase compare /tmp/baseline.trace.json /tmp/candidate.trace.json
What ASE Does
- captures tool calls, state transitions, handoffs, and protocol events
- evaluates traces with assertions like
tool_called,max_tool_calls, and policy checks - certifies adapter-backed frameworks through a neutral event protocol
- works across proxy, instrumented, and adapter-backed agent runtimes
Project Links
- Source repository: see the project homepage that publishes this package
- Documentation: see
README.mdanddocs/in the source repository
Status
ASE is release-hardening toward a broader framework certification story. The current public positioning is:
the open pre-production testing and certification layer for agent systems
Project details
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