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Agenta

4.6 (324 reviews)

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Agenta is an open-source platform that helps teams build and manage AI applications using large language models (LLMs). It offers tools for prompt testing, evaluation, and deployment, making it easier to create reliable AI apps and collaborate across technical and non-technical roles.

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Overview Features Screenshots & Demo Use Cases Reviews FAQ Pricing Integrations

What is Agenta?

Who It's For

Agenta is for both developers and product teams building AI applications with large language models. It helps technical and non-technical people work together. Product managers can experiment with AI prompts and evaluate them without writing any code.

What You Get

You get a full set of tools to manage your AI app development. This includes ways to test different prompts, compare how well they work, and track changes. You can also evaluate your AI's responses, debug problems, and ensure your applications are reliable.

How It Works

Developers add a small amount of code to set up a "playground." Then, anyone can use the web interface to try out different AI prompts and see the results. You can easily evaluate outputs, get human feedback, and deploy your best AI applications. It works with many different AI models and tools.

Features & Capabilities

🚀 Prompt Engineering Acceleration

Prompt & Model Comparison

Compares different prompts and LLM models across various test scenarios.

Custom Playground

Transforms user code into an interactive environment for application tweaking.

Web-based Prompt Deployment

Enables experts to engineer and deploy prompts directly through a web interface.

📦 Prompt Versioning & Collaboration

Prompt Version Tracking

Tracks different versions of prompts and their corresponding outputs.

Production Deployment & Rollback

Facilitates easy deployment of prompts to production and quick rollbacks.

Evaluation & Trace Linking

Links prompts directly to their evaluations and execution traces for context.

📊 LLM Evaluation & Analysis

Systematic Evaluation

Provides tools for systematic and objective evaluation of LLM outputs.

Web UI Evaluation

Allows users to run evaluations conveniently from the web-based user interface.

Output Quality Insights

Offers insights into how modifications impact the quality of LLM outputs.

🔍 Observability & Debugging

Output Debugging

Helps debug LLM outputs and pinpoint the root causes of issues.

Edge Case Identification

Assists in identifying edge cases and curating high-quality golden datasets.

Usage & Quality Monitoring

Monitors the usage patterns and overall quality of LLM applications.

Screenshots & Demo

See Agenta in action with screenshots and video demonstrations

Product Screenshots

Agenta

Build reliable AI apps with integrated prompt management

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Real-World Use Cases

Streamlining LLM Application Development and Deployment

Developers and product teams face challenges in rapidly building and deploying reliable LLM applications due to complex prompt iteration and version control. Agenta provides an end-to-end platform with integrated prompt management, versioning, and easy deployment capabilities, enabling faster iteration and production readiness for LLM-powered features.

Industry: B2B SaaS • User Type: Developers

Ensuring High-Quality LLM Outputs Through Systematic Evaluation

Moving beyond subjective "vibe-checks," teams need robust methods to guarantee the quality and reliability of LLM outputs. Agenta offers comprehensive evaluation tools, including test set creation, custom evaluators, human annotation, and A/B testing, allowing users to objectively measure, analyze, and continuously improve LLM application performance.

Industry: B2B SaaS • User Type: AI/ML Engineers

Fostering Collaborative Prompt Engineering and Experimentation

Bridging the gap between technical and non-technical stakeholders, Agenta enables seamless collaboration in optimizing LLM prompts. It provides a user-friendly web interface where developers, product managers, and domain experts can collectively experiment with prompts, compare models, and deploy changes, accelerating innovation and shared understanding.

Industry: B2B SaaS • User Type: Product Managers

Proactive Debugging and Monitoring of LLM Applications

Maintaining the performance and reliability of live LLM applications requires effective debugging and continuous monitoring. Agenta's observability features allow teams to trace and debug LLM outputs, identify root causes, curate golden sets for robust testing, and monitor usage and quality, ensuring stable and high-performing AI applications in production.

Industry: B2B SaaS • User Type: AI/ML Engineers