Agenta

Agenta is an open-source LLMOps platform designed for building reliable and robust AI applications. It provides a comprehensive suite of tools for prompt management, prompt engineering, LLM evaluation, debugging, and monitoring of complex LLM applications. The platform aims to facilitate collaboration among developers and domain experts, enabling them to ship LLM applications faster and with confidence by moving from scattered workflows to structured processes.

How to Use

Users can utilize Agenta to centralize their prompts, run experiments in a unified playground, compare different prompts and models side-by-side, and track changes with complete version history. The platform supports automated and human evaluations to validate changes and provides tools for tracing every request, debugging failure points, and monitoring production performance. It also enables collaboration by allowing product managers and domain experts to edit prompts and run evaluations directly from the UI.

Key Features

• Prompt Management (Engineering, Versioning, Unified Playground)
• LLM Evaluation (Automated, Human, Full Trace, Integrations)
• Observability (Tracing, Debugging, Monitoring, Feedback Loop)
• Collaboration Tools (UI for experts, Evals for PMs, API/UI parity)
• Open-source and Model Agnostic

Use Cases

• Building and iterating on reliable LLM applications collaboratively.
• Systematically evaluating LLM performance and validating changes with evidence.
• Debugging complex AI systems by tracing requests and pinpointing errors.
• Centralizing prompt management and version control across teams.
• Empowering non-technical domain experts to contribute to prompt engineering and evaluation.