Agenta

About Agenta

Agenta is the transformative, open-source LLMOps platform designed to empower AI teams to build and ship reliable, high-performance LLM applications with confidence. It addresses the core chaos of modern AI development, where unpredictable models meet scattered workflows, siloed teams, and a lack of validation. Agenta provides the single source of truth your entire team needs, from developers and engineers to product managers and domain experts. It centralizes the entire LLM development lifecycle into one cohesive platform, enabling structured collaboration and replacing guesswork with evidence. The core value proposition is clear: move from fragmented, risky processes to a unified workflow where you can experiment intelligently, evaluate systematically, and observe everything in production. This empowers teams to iterate faster, validate every change, and debug issues precisely, ultimately transforming how reliable AI products are built and scaled.

Features of Agenta

Unified Experimentation Playground

Agenta's unified playground is your collaborative command center for prompt engineering. It allows teams to compare different prompts, models, and parameters side-by-side in real-time. With complete version history for every change, you can track iterations, understand what worked, and revert if needed. Crucially, it's model-agnostic, preventing vendor lock-in and letting you use the best model from any provider. Found a problematic user query in production? Save it directly to a test set and use it immediately in the playground to debug and fix the issue.

Automated & Flexible Evaluation Framework

Replace gut-feeling "vibe checks" with a rigorous, evidence-based evaluation system. Agenta enables you to create a systematic process to run experiments and validate every single change before deployment. The platform integrates any evaluator you need: use LLM-as-a-judge, leverage built-in metrics, or seamlessly incorporate your own custom code. You can evaluate the full trace of an agent's reasoning, not just the final output, and even integrate human feedback from domain experts directly into the evaluation workflow for comprehensive validation.

Production Observability & Debugging

Gain unparalleled visibility into your live LLM applications. Agenta traces every single request, allowing you to pinpoint the exact failure points in complex chains or agentic workflows. You and your team can annotate these traces to collaborate on debugging or to gather direct user feedback. With one click, you can turn any problematic trace into a permanent test case, closing the feedback loop instantly. Monitor system performance continuously and detect regressions proactively with live, online evaluations running directly on production traffic.

Cross-Functional Collaboration Hub

Agenta breaks down silos by bringing product managers, domain experts, and developers into one unified workflow. It provides a safe, intuitive UI for non-technical experts to edit, experiment, and iterate on prompts without writing code. Everyone can run evaluations, compare experiment results, and contribute to the development process directly from the interface. With full parity between the API and the UI, programmatic and manual workflows integrate seamlessly into one central hub, ensuring alignment and accelerating development cycles.

Use Cases of Agenta

Building and Refining Customer Support Agents

Teams developing AI-powered support chatbots use Agenta to experiment with different prompt strategies for handling nuanced customer queries. They evaluate responses using criteria like accuracy, tone, and compliance, comparing models from various providers. By observing production traces, they quickly identify and debug failures, turning mis-handled conversations into test cases to continuously improve the agent's reliability and effectiveness.

Developing Reliable Content Generation Systems

Marketing and content teams leverage Agenta to manage prompts for generating blog posts, product descriptions, and social media content. Subject matter experts can directly use the playground to tweak prompts for brand voice and factual accuracy. Automated evaluations check for relevance and style, while human-in-the-loop reviews provide final validation before any content generation workflow is deployed to production.

Creating and Monitoring Analytical AI Agents

For teams building agents that perform data analysis and generate reports, Agenta is essential for validating complex, multi-step reasoning. Developers evaluate each intermediate step in the agent's chain-of-thought, not just the final answer. Production observability traces allow them to see exactly where an analysis went wrong, and live evaluations monitor for drops in output quality or logical consistency as user queries evolve.

Streamlining Enterprise LLM Application Development

Large organizations use Agenta to establish a standardized, governed LLMOps process across multiple teams. It centralizes prompt management, prevents "shadow prompting" across emails and sheets, and provides a secure platform for collaboration. Product managers can oversee evaluation results, developers can integrate via API, and compliance experts can audit traces, ensuring that all LLM applications are built with rigor, transparency, and accountability.

Frequently Asked Questions

Is Agenta really open-source?

Yes, Agenta is a fully open-source platform. You can dive into the codebase on GitHub, contribute to its development, and self-host the entire platform to maintain complete control over your data and infrastructure. This openness ensures transparency and avoids vendor lock-in, aligning with the needs of modern AI engineering teams.

How does Agenta integrate with existing AI stacks?

Agenta is designed for seamless integration. It works with any LLM provider (OpenAI, Anthropic, Cohere, etc.) and is compatible with popular frameworks like LangChain and LlamaIndex. You can integrate Agenta's SDK into your existing application code with minimal changes, allowing you to add experimentation, evaluation, and observability capabilities without overhauling your current architecture.

Can non-technical team members really use Agenta effectively?

Absolutely. A core design principle of Agenta is to empower the entire team. Product managers and domain experts are provided with an intuitive web UI where they can safely experiment with prompts in a playground, configure and run evaluations, and review results without needing to write or understand code. This bridges the gap between technical implementation and subject matter expertise.

What kind of evaluations can I run on the platform?

Agenta supports a highly flexible evaluation ecosystem. You can use LLM-as-a-judge setups where a more powerful model evaluates outputs, utilize built-in evaluators for metrics like correctness or similarity, or write and integrate your own custom Python code for domain-specific assessments. You can also incorporate human evaluation workflows to gather qualitative feedback directly within the platform.

Pricing of Agenta

Agenta is an open-source platform, and the core software is free to use. You can self-host it without any licensing costs. The company, Agentatec, also offers a cloud-hosted version for teams that prefer a managed service. For specific details on cloud plan tiers, features, and associated costs, please visit the official Agenta website or use the "Book a demo" link to speak directly with their team about your organization's needs and pricing options.