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Agenta

Your End-to-End Collaborative Open Source LLMOps Platform for building reliable LLM applications faster.

Quick Info

Starting at Free
0 reviews
Build stage

Overview

Agenta is an end-to-end, collaborative, and open-source LLMOps platform designed to accelerate the development of reliable LLM applications. It provides a unified environment for managing the entire lifecycle of LLM-powered products, from initial prompt engineering to deployment and ongoing monitoring. The platform emphasizes systematic evaluation, allowing developers to move beyond subjective assessments to data-driven insights into how changes affect output quality.

Key functionalities include a prompt engineering playground for comparing prompts and models, a prompt registry for versioning and collaboration, and robust evaluation tools that can be run directly from the web UI. Agenta also offers comprehensive observability features to trace, debug, and monitor LLM outputs, helping identify edge cases and curate golden datasets. By integrating these critical components, Agenta empowers teams to build, test, and deploy LLM applications faster and with greater confidence, ultimately enabling them to focus on core business logic rather than infrastructure complexities.

Best For

Developing and iterating on LLM-powered applications.
Teams needing systematic evaluation of prompt and model performance.
Organizations requiring version control and collaboration for prompt engineering.
Debugging and monitoring LLM applications in production.
Building robust and reliable AI solutions with large language models.
Experimenting with different prompts and models in a structured environment.

Key Features

Prompt Engineering Playground for comparing prompts and models
Custom playground creation from code
Web interface for prompt engineering and deployment
Prompt Registry for version control and collaboration
Tracking prompt versions and their outputs
Easy deployment to production and rollback capabilities
Linking prompts to evaluations and traces
Systematic evaluation directly from the web UI
Insights into output quality changes
Observability for tracing and debugging LLM outputs
Identification of edge cases and curation of golden sets
Monitoring usage and quality of LLM applications

Pricing

Hobby

Free
  • 2 users included
  • 20 evaluations / month included
  • 5k traces / month included
  • 14 days retention period
  • Playground
  • Prompt Management
  • Automatic Evaluation
  • Human Evaluation
  • Traces
  • Test sets
  • Custom Workflows
  • Community (Github, Slack) support
POPULAR

Pro

$49 /month
  • Unlimited prompts
  • 3 seats included then $20 per seat
  • Up to 10 seats
  • Unlimited evaluations
  • 10k traces / month included then $5 for every 10k
  • 90 days retention period
  • Playground
  • Prompt Management
  • Automatic Evaluation
  • Human Evaluation
  • Traces
  • Test sets
  • Custom Workflows
  • Email support

Pros & Cons

Pros

  • Open-source nature allows for transparency, customization, and community contributions.
  • Comprehensive LLMOps platform covering prompt engineering, evaluation, and observability in one place.
  • Systematic evaluation features move beyond 'vibe-checks' for more robust testing.
  • Collaboration features like prompt versioning and shared playgrounds enhance team productivity.
  • Ability to self-host provides greater control over data and infrastructure.
  • Integrated debugging and tracing tools simplify identifying and resolving issues in LLM applications.

Cons

  • Requires technical expertise to set up and manage, especially for self-hosting.
  • As an open-source tool, enterprise-grade support might require additional arrangements or community reliance.
  • Learning curve associated with understanding and utilizing all features of a comprehensive LLMOps platform.
  • Reliance on community for certain integrations or advanced features if not natively supported.

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