AgentProbe

AgentProbe is a declarative, YAML-based testing framework designed specifically to audit autonomous AI agents. Unlike standard testing tools that focus solely on final text responses, AgentProbe monitors internal decision-making, tool invocations, and multi-step reasoning chains.

Key Features of AgentProbe

• Internal State Auditing: Inspects variables, tool arguments, and logical state changes within the agent execution loop.
• YAML Test Scenarios: Author robust verification scripts with zero boilerplate code.
• Boundary Assertions: Asserts that system prompts, user keys, and secure environment configurations do not leak.
• Execution Mocking: Mock heavy API endpoints or specific model responses to speed up local testing sessions.

Benefits of Using AgentProbe

• Behavior Validation: Go beyond simple text matching; verify that the agent reached the correct answer using the correct logical steps.
• Reduced Testing Costs: Mocking model responses prevents high token bills during development cycles.
• Enterprise Safety: Continually verify that agents do not execute destructive commands or violate guardrails.

When testing autonomous agents, QA engineers can use AgentProbe to verify end-to-end task completion (such as checkout cycles or account setup) rather than asserting on simple text comparisons.