It is a contract-based development toolkit designed to define, inspect, and verify the behavior of AI agents using natural language. Relari enables teams to collaboratively create natural language contracts that capture an AI agent’s expected behavior and reasoning process across critical scenarios. These contracts are transformed into automated tests, rigorously verifying the agent’s complete behavior across thousands of diverse scenarios through powerful simulation and synthetic test generation. The platform provides immediate insights into how agents execute complex tasks via comprehensive trace analysis, helping teams rapidly identify and resolve issues before deployment.
Relari addresses challenges in AI development by offering synthetic golden datasets and tailored evaluation metrics, enabling data-driven decisions on parameters like similarity thresholds, chunk sizes, and retrieval strategies. This approach significantly improves iteration speed, helping teams achieve production-grade performance for multiple large language model (LLM) products quickly. It also overcomes the limitations of traditional LLM-as-a-judge evaluations, which are expensive and unstable, by providing deterministic evaluation and domain-specific synthetic datasets.
The platform is ideal for individual developers, researchers, and AI teams aiming to deploy reliable agentic applications at scale. It supports various agent frameworks, including LangGraph, LlamaIndex, CrewAI, and AutoGen, and is platform-agnostic. Relari’s synthetic datasets and custom simulators allow teams to stress-test agents across diverse scenarios, ensuring robust performance. Additionally, enterprise plans offer self-hosting options for data security.
Relari’s framework goes beyond traditional metrics like correctness and faithfulness by analyzing complex execution traces, ensuring each step aligns with contract requirements. This comprehensive approach helps teams systematically improve AI performance, enabling faster iteration and deployment of reliable AI agents. Trusted by AI pioneers, Relari empowers teams to build confidence in their AI agents through contract-driven development.
It is a terminal-based platform designed for experimenting with AI-driven software engineering, specifically focusing on code generation and improvement.
It is an open-source platform designed to enhance AI development by providing tools for tracing, evaluating, and optimizing large language model (LLM) applications in real time.
It is a unified observability and evaluation platform for AI designed to accelerate the development of AI applications and agents while optimizing their performance in production.
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