Agenta

Agenta is the dynamic, open-source LLMOps platform designed to transform how AI teams build and ship reliable, production-ready LLM applications! It tackles the core chaos of modern LLM development head-on, where prompts are scattered, teams work in silos, and debugging feels like a guessing game. Agenta provides a unified, collaborative hub where developers, product managers, and subject matter experts can finally work together seamlessly. It centralizes the entire LLM workflow, enabling teams to experiment with prompts and models, run rigorous automated and human evaluations, and gain deep observability into production systems. The core value proposition is powerful: move from unpredictable, ad-hoc processes to a structured, evidence-based development cycle. By integrating prompt management, evaluation, and observability into one platform, Agenta empowers teams to iterate faster, validate every change, and confidently deploy LLM applications that perform consistently and reliably. It's the single source of truth your whole team needs to turn the unpredictability of LLMs into a competitive advantage!

Unified Playground & Experimentation

Agenta provides a powerful, unified playground where your entire team can experiment with prompts and models side-by-side in real-time! This central hub eliminates scattered workflows, allowing you to iterate quickly with complete version history for every change. It's model-agnostic, so you can leverage the best models from any provider without fear of vendor lock-in. Found a tricky error in production? Simply save it to a test set and use it directly in the playground to debug and fix it instantly!

Comprehensive Evaluation Suite

Replace guesswork with hard evidence using Agenta's robust evaluation framework! Create a systematic process to run experiments, track results, and validate every single change before deployment. The platform supports any evaluator you need, including LLM-as-a-judge, built-in metrics, or your own custom code. Crucially, you can evaluate the full trace of complex agents, testing each intermediate reasoning step, not just the final output. Plus, seamlessly integrate human evaluations from domain experts directly into your workflow!

Deep Observability & Debugging

Gain unparalleled visibility into your AI systems with Agenta's observability tools! Trace every single request to find the exact point of failure when things go wrong, turning debugging from a guessing game into a precise science. Annotate traces collaboratively with your team or gather direct feedback from end-users. The best part? You can turn any problematic trace into a test case with a single click, creating a powerful, closed feedback loop that continuously improves your application's reliability!

Seamless Team Collaboration

Break down silos and bring product managers, domain experts, and developers into one cohesive workflow! Agenta provides a safe, intuitive UI for non-technical experts to edit prompts and run experiments without touching code. Empower everyone to run evaluations and compare results directly from the interface. With full parity between its API and UI, Agenta integrates both programmatic and manual workflows into a single, central hub that accelerates alignment and decision-making across your entire team!

Accelerating Agent & Chatbot Development

Teams building conversational agents or complex chatbots can use Agenta to rapidly prototype, test, and refine their LLM pipelines! The unified playground allows for quick A/B testing of different prompts and reasoning models, while the full-trace evaluation ensures every step of the agent's logic is sound. Collaboration features mean domain experts can directly tweak conversation tones or factual responses, leading to faster iterations and a more reliable final product that's ready for user traffic!

Enterprise LLM Application Lifecycle Management

Large organizations struggling with scattered prompts and siloed teams can implement Agenta as their central LLMOps command center! It provides the structured process needed to manage the entire lifecycle of multiple LLM applications, from initial experimentation to production monitoring. By centralizing prompts, evaluations, and traces, it establishes governance, enables reproducible experiments, and gives leadership clear visibility into performance and ROI, turning chaotic development into a streamlined operation!

Building Evaluated & Validated AI Features

Product teams integrating LLM features into existing software can use Agenta to ensure every release is high-quality and reliable! Before any update goes live, teams can run automated evaluations against comprehensive test sets and gather human feedback from stakeholders. This evidence-based approach replaces "vibe testing," guaranteeing that new features actually improve performance and don't introduce regressions, allowing for confident and frequent deployment of AI-powered capabilities!

Debugging & Improving Production Systems

When a live LLM application starts behaving unexpectedly, Agenta turns crisis management into a streamlined diagnostic process! Engineers can immediately inspect traced requests to pinpoint the exact failure in a chain of thought or API call. They can save errors as test cases, debug them in the playground, and validate fixes with the evaluation suite before deploying a patch. This closes the loop between production issues and development, dramatically reducing mean-time-to-repair!

Is Agenta really open-source?

Yes, absolutely! Agenta is a fully open-source platform under the Apache 2.0 license. You can dive into the code on GitHub, self-host the entire platform, and even contribute to its development. Hundreds of developers are actively involved in the community, and we believe in building transparent, vendor-neutral infrastructure that gives teams full control over their LLMOps stack!

How does Agenta handle different LLM providers and frameworks?

Agenta is designed to be model-agnostic and framework-flexible! It seamlessly integrates with all major providers like OpenAI, Anthropic, and Cohere, allowing you to use the best model for each task without lock-in. It also works effortlessly with popular frameworks like LangChain and LlamaIndex, fitting into your existing tech stack without requiring a painful rewrite. You bring your models and code; Agenta brings the management and evaluation superpowers!

Can non-technical team members really use Agenta effectively?

They sure can! A core mission of Agenta is to democratize LLM development. We provide an intuitive web UI that allows product managers, subject matter experts, and other non-coders to safely edit prompts, run experiments, and evaluate results without writing a single line of code. This bridges the gap between technical implementation and domain knowledge, unlocking collaboration and speeding up the iteration cycle dramatically!

What does the evaluation process look like in Agenta?

Agenta's evaluation process is both powerful and flexible! You start by creating test datasets (which can be built from production traces). You then configure evaluations using AI judges, code-based metrics, or human input. The system runs your experiments (different prompts/models) against these tests, providing detailed, comparable results. You can evaluate the entire reasoning trace of an agent, not just the final output, giving you deep insight into what works and what breaks, so you can deploy with confidence!

Agenta is an open-source platform, and you can get started completely for free by self-hosting or using our community resources! For detailed information on enterprise-grade features, managed cloud hosting, and professional support, we recommend visiting the official Pricing page on the Agenta website or using the "Book a demo" option to speak directly with the team about your specific needs and scale.