Agenta
Agenta is an open-source LLMOps platform that provides integrated tools for prompt engineering, evaluation, debugging, and monitoring to help developers and product teams build reliable LLM applications.
https://www.agenta.ai/?ref=producthunt
Product Information
Updated:Dec 1, 2025
What is Agenta
Agenta is a comprehensive end-to-end platform designed to streamline the development and deployment of Large Language Model (LLM) applications. It serves as a unified workspace where both technical and non-technical team members can collaborate effectively in building AI applications. The platform bridges the gap between scattered workflows and structured processes by providing essential infrastructure and tools that follow LLMOps best practices, making it easier for teams to manage prompts, conduct evaluations, and monitor their LLM applications in one centralized location.
Key Features of Agenta
Agenta is an open-source LLMOps platform that provides comprehensive tools for building, evaluating, and deploying LLM applications. It offers integrated prompt management, versioning, evaluation, and observability capabilities, enabling teams to streamline their LLM development workflow. The platform supports various LLM frameworks like Langchain and LlamaIndex, works with any model provider, and facilitates collaboration between technical and non-technical team members through a unified interface.
Unified Prompt Management: Centralized platform for storing, versioning, and managing prompts with side-by-side comparison capabilities and complete version history tracking
Systematic Evaluation Framework: Comprehensive evaluation tools including automated testing, LLM-as-a-judge functionality, and human feedback integration for quality assessment
Advanced Observability: Real-time monitoring and tracing of LLM applications with detailed insights into costs, latency, and performance metrics
Collaborative Interface: User-friendly UI that enables both technical and non-technical team members to participate in prompt engineering and evaluation without touching code
Use Cases of Agenta
AI Application Development: Teams building LLM-powered applications can use Agenta to streamline development, testing, and deployment processes
Quality Assurance: Organizations can implement systematic testing and evaluation of AI outputs to ensure consistency and reliability
Cross-functional Collaboration: Product teams and domain experts can work together with developers to optimize AI applications through shared workflows and tools
Pros
Open-source and framework-agnostic
Comprehensive end-to-end LLMOps solution
Strong collaboration features for cross-functional teams
Cons
Limited documentation for advanced features
Requires initial technical setup and integration
How to Use Agenta
Sign up/Access: Access Agenta either through Agenta Cloud (easiest way to get started) or set it up locally at http://localhost
Project Setup: Create a new project and integrate Agenta with your existing LLM application codebase (supports LangChain, LlamaIndex, OpenAI and other frameworks)
Prompt Engineering: Use the unified playground to experiment with and compare different prompts and models side-by-side. Test prompts interactively to refine and optimize outputs
Version Control: Track changes and version your prompts using Agenta's version control system. Keep a complete history of prompt iterations and changes
Create Test Sets: Build test sets from production errors or edge cases. Save problematic outputs to test sets that can be used in the playground for debugging
Set Up Evaluations: Create systematic evaluation processes using built-in evaluators, LLM-as-judge, or custom code evaluators to validate changes and track results
Configure Monitoring: Set up tracing and observability to monitor your LLM application in production. Track usage patterns and detect performance issues
Team Collaboration: Invite team members (developers, product managers, domain experts) to collaborate through the UI for experimenting with prompts and running evaluations
Deploy Changes: Deploy approved prompt changes and configurations to production via UI, CLI, or GitHub workflows
Continuous Improvement: Use the feedback loop to continuously improve by turning traces into tests, gathering user feedback, and monitoring live performance
Agenta FAQs
Agenta is an open-source LLMOps platform that provides infrastructure for LLM development teams, offering integrated prompt management, evaluation, and observability tools to help teams build reliable LLM applications.
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