Agenta

AI Agent Development Platforms

An open-source LLMOps platform offering prompt engineering, evaluation, and observability tools for building robust LLM applications.

Agenta is an open-source platform designed to assist developers and product teams in building robust AI applications powered by Large Language Models (LLMs). It provides integrated tools for prompt engineering, versioning, evaluation, and observability, all in one place. With Agenta, users can rapidly experiment with prompts, manage prompt versions, evaluate application performance, and monitor usage and quality. The platform supports various LLM workflows, including chain-of-prompts and Retrieval Augmented Generation (RAG), and is compatible with frameworks like Langchain and LlamaIndex. Agenta aims to accelerate the development cycle of LLM applications by facilitating collaboration between developers and non-developers, such as product managers or domain experts.

Industry: Technology

Pricing: free

Use cases: AI developers, product managers, data scientists, software engineers, researchers

Capabilities: Experimenting with and refining prompts across different LLM models., Managing and versioning prompts to ensure consistency and track changes., Evaluating application performance using predefined or custom evaluators., Collaborating between developers and non-developers on LLM application development., Monitoring and debugging LLM applications with built-in observability tools.

Tags: open-source, LLMOps, prompt engineering, evaluation, observability, LLM workflows, collaboration

• Is Agenta a free-to-use platform?
• Can Agenta integrate with Langchain or LlamaIndex?
• Is Agenta an open-source tool for LLM development?
• Does Agenta offer prompt versioning and evaluation features?