Agenta

Agenta is an open-source LLMOps platform for building and operating production-grade LLM applications. It centralizes prompt work, evaluation workflows, and runtime traces so teams can iterate safely and measure quality over time.

Key Features

• Interactive prompt playground to compare prompts and models side-by-side on real test cases
• Prompt and configuration versioning with environments/branching to control changes
• Testset management (including CSV import and capturing production cases) for repeatable experiments
• Automated and human evaluation workflows, including LLM-as-judge and custom evaluators
• Production observability with tracing, latency/usage/cost tracking, and debugging via detailed traces
• Open standards support for tracing via OpenTelemetry-compatible instrumentation
• UI and API parity to support both expert-driven and engineering workflows

Use Cases

• Prompt engineering and regression testing before shipping changes to production
• Evaluating agents and RAG pipelines with automated metrics plus expert review
• Debugging and monitoring production LLM apps to detect failures and performance regressions

Agenta fits teams that need a single source of truth for prompts, evaluations, and traces, combining experimentation and operational monitoring in one platform. It helps reduce trial-and-error iterations by making changes measurable and auditable.