This is the Linux app named ASSERT whose latest release can be downloaded as ASSERTv0.1.0Initialreleasesourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
ASSERT
DESCRIPTION:
ASSERT is a requirement-driven evaluation harness for AI agents and LLM applications. It turns natural-language specifications, policies, product requirements, and launch criteria into structured tests that can be reviewed, executed, scored, and improved. The pipeline derives behavior categories, generates single-turn and multi-turn test cases, runs them against a target system, and uses an LLM judge to score conversations against the stated policies. It can evaluate hosted models, custom agents, multi-agent systems, REST clients, and frameworks such as LangGraph, CrewAI, AutoGen, DSPy, LlamaIndex, and OpenAI Agents SDK. ASSERT is designed to close the gap between what a system is supposed to do and what evaluation actually measures. It is useful for responsible AI teams, product teams, and developers who need traceable, spec-aligned testing.
Features
- Requirement-driven AI evaluation
- Single-turn and multi-turn test generation
- LLM-as-judge scoring
- Agent and model endpoint support
- Policy-aligned behavior coverage
- LiteLLM integration for broad model access
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/assert.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.