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Compare AI-agent traces and enforce declared behavior contracts.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "behaviorlock" yet — see the docs or source repo.
Use behaviorlock to compare these two AI-agent traces: the baseline trace and the candidate trace. Identify any violations of the declared behavior contract, and report the diffs and pass/fail status.
A trace diff, any contract violations, and a pass/fail conclusion.
Design a behaviorlock check step for an AI agent CI pipeline: given a baseline trace, a candidate trace, and a behavior contract, return whether the change is mergeable.
A CI-friendly check flow and a merge decision.
Check whether this AI agent follows the declared behavior contract: focus on whether observable behavior matches the baseline, and summarize any mismatches.
Whether the contract is respected, plus a summary of mismatched behaviors.
Developers can compare old and new agent traces after changing prompts, tools, or policies. It helps detect observable behavior changes when a stable behavior contract matters.
When a team defines explicit behavior constraints before release, it can be used as a deterministic acceptance check to see whether a candidate version satisfies the contract.
Researchers or engineers debugging agent drift can compare baseline and candidate traces to pinpoint which observable steps changed.
It is a deterministic compatibility gate for observable AI-agent behavior, used to compare traces and check whether a candidate matches the declared behavior contract. See the source repository for integration details.
It is mainly used to compare baseline and candidate traces, detect regressions or drift, and decide whether the result matches the predefined contract. It is geared toward testing and quality control.
From the available information, it requires observable AI-agent traces and a declared behavior contract; runtime, installation, and configuration requirements are not specified here, so see the source repository.
Validate AI agent behavior contracts and detect regressions through baseline comparisons.
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Generate test scenarios and measure how well agents follow skills and rules.