Agenta

Provides a unified platform for prompt management, evaluation, and observability for LLM development.

Supports integration with various LLM providers and models, preventing vendor lock-in.

Offers consistent functionality and workflows whether using the graphical user interface or programmatic API.

Allows side-by-side comparison and iteration of prompts and models in a single interface.

Tracks all changes to prompts, providing a complete version history for reproducibility.

Empowers domain experts to edit and experiment with prompts safely without requiring coding knowledge.

Systematically runs experiments, tracks results, and validates changes to LLM applications.

Supports various evaluation methods including LLM-as-a-judge, built-in tools, or custom code evaluators.

Integrates feedback from domain experts directly into the evaluation workflow for comprehensive assessment.

Enables product managers and experts to easily run and compare experiments through a user-friendly interface.

Traces every LLM request to pinpoint exact failure points within the application flow.

Allows teams and users to annotate traces and provide feedback for debugging and improvement.

Transforms production traces into new test cases with a single click, facilitating a continuous feedback loop.

Continuously monitors system performance and detects regressions using live, online evaluations.

Unites product managers, domain experts, and developers within a single workflow for LLM development.

Integrates with popular LLM frameworks and providers like LangChain, LlamaIndex, and OpenAI.

Provides a single source of truth for prompts, evaluations, and traces, streamlining team efforts.