Agenta - LLM Engineering Platform

Open-source LLMOps platform for prompt management, evaluation, and observability

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Updated Jul 2026 · Added Jun 2026

agenta.ai

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What is Agenta?

Agenta is an open-source LLMOps platform that provides infrastructure for building reliable LLM applications. It centralizes prompt management, evaluation, and observability in one unified platform, helping teams move from scattered workflows to structured processes. The platform enables teams to collaborate on prompt experimentation, run systematic evaluations with LLM-as-a-judge or custom evaluators, and gain full visibility into production systems through comprehensive tracing and monitoring.

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Key Features of Agenta

Unified playground for comparing prompts and models side-by-side
Complete version history for prompt tracking and changes
Model agnostic support for any provider without vendor lock-in
Automated evaluation with LLM-as-a-judge and custom evaluators
Full trace analysis to test intermediate steps in agent reasoning
Human evaluation integration for domain expert feedback
Request tracing to identify exact failure points
Live online evaluations for performance monitoring and regression detection
UI for domain experts to safely edit and experiment with prompts
Full API and UI parity for programmatic and UI workflows
Seamless integration with LangChain, LlamaIndex, OpenAI, and other frameworks

Who Should Use Agenta?

Centralize scattered prompts, evaluations, and traces across teams

Compare and iterate prompts with whole team collaboration

Run systematic experiments and validate changes before production

Debug production errors by saving them to test sets

Monitor LLM application performance and detect regressions

Enable product managers and domain experts to run evaluations without code

Trace agent reasoning and identify failures at intermediate steps

Integrate user feedback into the evaluation workflow

Agenta: Pros & Cons

✓Pros

Centralized platform eliminates scattered workflows across Slack, Google Sheets, and emails
Model agnostic approach avoids vendor lock-in
Transparent roadmap shows community-driven development
Active open-source community on GitHub and Slack
Full API and UI parity enables flexible integration
Enables non-technical stakeholders to run evaluations and experiments
Comprehensive tracing helps pinpoint exact source of errors

Frequently Asked Questions about Agenta

Can I use Agenta with models from multiple providers, or am I locked into one?

Agenta supports any model provider without vendor lock-in. You can compare and iterate across different LLM providers in the same playground, so you're not forced to standardize on OpenAI, Anthropic, or any single vendor.

How does Agenta's LLM-as-a-judge evaluation work?

You can run automated evaluations where another LLM scores your application's outputs against your test cases, or you can build custom evaluators for domain-specific logic. Agenta also lets domain experts run human evaluations through the UI without writing code, so you can combine both signals.

Can I trace where an agent fails in its reasoning steps?

Yes. Agenta saves full traces of your agent's intermediate steps so you can inspect exactly where and why it went wrong. You can also save production errors directly into test sets to catch regressions before they repeat.

Does Agenta work with LangChain and LlamaIndex?

Agenta integrates with LangChain, LlamaIndex, OpenAI, and other frameworks. It also exposes full API and UI parity, so you can wire it into your workflows programmatically or through the interface, whichever suits your team.