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.

agenta

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

Agenta

Pydantic is a robust data validation and settings management library for Python that leverages type hints to define and validate data structures. By integrating seamlessly with Python's type annotations, Pydantic enables developers to define data schemas clearly and validate data efficiently. It supports complex nested data structures, custom data types, and integrates well with IDEs and static analysis tools, enhancing code reliability and maintainability. Pydantic is widely adopted in various industries and serves as the data backbone for frameworks like FastAPI.

pydantic

A Python library that provides data validation and settings management using Python type annotations.

AI Agents with Opentelemetry Integration

Agenta

Pydantic