Developer launches Runtape for counterfactual debugging and regression testing of AI agents
Skill-up is a regression testing framework for LLM agent skills. It helps developers ensure that agent behaviors remain consistent after updates by running automated tests. The tool is designed for teams building and maintaining LLM-based agents.
Skill-up is a regression testing framework for LLM agent skills. It helps developers ensure that agent behaviors remain consistent after updates by running automated tests. The tool is designed for teams building and maintaining LLM-based agents.
AgentSnap is a tool for snapshot testing of AI agents, allowing developers to capture and compare agent outputs across runs. It uses LLMs to generate deterministic snapshots of agent behavior, helping debug regressions and ensure consistency. The tool targets developers building complex agentic systems who need reliable testing.
AgentSnap is a tool for snapshot testing of AI agents, allowing developers to capture and compare agent outputs across runs. It uses LLMs to generate deterministic snapshots of agent behavior, helping debug regressions and ensure consistency. The tool targets developers building complex agentic systems who need reliable testing.
Understudy is a tool for scenario testing of AI agents, allowing developers to simulate and evaluate agent behavior in controlled scenarios. It uses LLMs to generate and run test scenarios, helping developers identify failures and improve agent reliability.
Understudy is a tool for scenario testing of AI agents, allowing developers to simulate and evaluate agent behavior in controlled scenarios. It uses LLMs to generate and run test scenarios, helping developers identify failures and improve agent reliability.
Dynobox is a test runner designed to validate AI agent skills and workflows. It helps developers ensure their AI agents perform correctly by running automated tests. The tool addresses the need for reliable testing in AI agent development.
Dynobox is a test runner designed to validate AI agent skills and workflows. It helps developers ensure their AI agents perform correctly by running automated tests. The tool addresses the need for reliable testing in AI agent development.
A developer shared an open-source tool for deterministic unit testing of AI agents without using an LLM. The tool enables reproducible testing of agent behavior, which is valuable for practitioners seeking reliable evaluation methods.
A developer shared an open-source tool for deterministic unit testing of AI agents without using an LLM. The tool enables reproducible testing of agent behavior, which is valuable for practitioners seeking reliable evaluation methods.