Your

End-to-End

Collaborative

Open Source

All-In-One

End-to-End

Collaborative

Open Source

All-In-One

End-to-End

Collaborative

Open Source

All-In-One

End-to-End

Collaborative

Open Source

All-In-One

LLM Developer Platform

Platform for LLM Development

Agenta provides integrated tools for prompt engineering, versioning, evaluation, and observability—all in one place

PLAYGROUND

Accelerate Prompt Engineering

  • Compare prompts and models across scenarios

  • Turn your code into a custom playground where you can tweak your app

  • Empower experts to engineer and deploy prompts via the web interface

PROMPT REGISTRY

Version and Collaborate on Prompts

  • Track prompt versions and their outputs

  • Easily deploy to production and rollback

  • Link prompts to their evaluations and traces

Use best practices to manage your prompts throughout their lifecycle. Systematically version your prompts and move them to production with a reliable record-keeping system. Easily connect all related information—including evaluations and traces— to your prompts.

EVALUATION

Evaluate and Analyze

  • Move from vibe-checks to systematic evaluation

  • Run evaluations directly from the web UI

  • Gain insights into how changes affect output quality

OBSERVABILITY

Trace and Debug

Trace and Debug

  • Debug outputs and identify root causes

  • Identify edge cases and curate golden sets

  • Monitor usage and quality

  • Monitor usage of your application and use traces to continuously improve accuracy.

  • Find edge cases and use them to curate golden sets.

  • Debug challenging inputs and find root causes.

NEED HELP?

Frequently
asked questions

Frequently
asked questions

Create robust LLM apps in record time. Focus on your core business logic and leave the rest to us.

Have a question? Contact us on slack.

Do I need to know how to code to create LLM applications with agenta?

Can I use agenta with a self-hosted fine-tuned model such as Llama or Falcon?

How can I limit hallucinations and improve the accuracy of my LLM apps?

Is it possible to use vector embeddings and retrieval-augmented generation with Agenta?

Do I need to know how to code to create LLM applications with agenta?

Can I use agenta with a self-hosted fine-tuned model such as Llama or Falcon?

How can I limit hallucinations and improve the accuracy of my LLM apps?

Is it possible to use vector embeddings and retrieval-augmented generation with Agenta?

Do I need to know how to code to create LLM applications with agenta?

Can I use agenta with a self-hosted fine-tuned model such as Llama or Falcon?

How can I limit hallucinations and improve the accuracy of my LLM apps?

Is it possible to use vector embeddings and retrieval-augmented generation with Agenta?

Do I need to know how to code to create LLM applications with agenta?

Can I use agenta with a self-hosted fine-tuned model such as Llama or Falcon?

How can I limit hallucinations and improve the accuracy of my LLM apps?

Is it possible to use vector embeddings and retrieval-augmented generation with Agenta?

Ready to try Agenta AI?

Ready to try Agenta AI?

Create robust LLM apps in record time. Focus on your core business logic and leave the rest to us

Fast-tracking LLM apps to production

Need a demo?

We are more than happy to give a free demo

Copyright © 2023-2060 Agentatech UG (haftungsbeschränkt)

Fast-tracking LLM apps to production

Need a demo?

We are more than happy to give a free demo

Copyright © 2023-2060 Agentatech UG (haftungsbeschränkt)

Fast-tracking LLM apps to production

Need a demo?

We are more than happy to give a free demo

Copyright © 2023-2060 Agentatech UG (haftungsbeschränkt)