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Agenta

Developer toolsOpen SourceAgent-Building Frameworks and Platforms

What is Agenta?

Agenta is an open-source LLMOps platform designed to help engineering and product teams build, deploy, and monitor production-grade LLM applications efficiently. It provides a comprehensive suite of tools for the entire LLMOps workflow, including prompt management, evaluation, observability, and tracing. With features like the Prompt Playground, users can experiment with over 50 LLM models, iterate on prompts, and compare outputs side by side. Agenta also supports custom workflows, such as RAG or agent-based systems, enabling teams to collaborate on parameters and evaluate performance through human annotations or predefined evaluators. Additionally, it offers robust monitoring capabilities, including cost tracking, latency measurement, and deployment comparisons, ensuring reliable and scalable LLM applications.

Features

Enables prompt experimentation with 50+ LLM models
Supports custom workflows like RAG and agents
Provides human and automated evaluation tools
Offers end-to-end LLMOps workflow management

Pros and Cons of Agenta

Pros

Accelerates development of reliable LLM applications
Enhances collaboration with human annotation tools
Simplifies prompt versioning and management
Ensures observability with tracing and monitoring features
Supports scalable deployment across environments

Cons

Limited customization for non-LLM use cases
Requires initial setup for optimal integration
Dependent on quality of integrated models and tools

Agenta Use Cases

Prompt management and versioning for LLMs
Evaluation and observability for LLM applications
Custom workflows for RAG and agent systems
Monitoring and debugging of LLM deployments

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