Important Notice: Literal AI will be discontinued, with the service remaining available until October 31st, 2025. This guide will help you migrate to alternative solutions.

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Context

Chainlit is a great tool for building internal and external AI chatbots and copilots. We’re very thankful for the community that has built on top of it.

In 2024, we also built Literal AI, an LLMOps product. Both products achieved notable milestones:

  • Chainlit: Used by Stability AI, Microsoft, Nvidia and many others
  • Literal AI: Adopted by various companies for LLM observability

However, despite enabling great AI projects, we weren’t able to differentiate enough in these competitive markets to build sustainable revenue.

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What’s Changing

After careful consideration, we’ve made the difficult decision to discontinue Literal AI (service remains available until October 31st, 2025) and are actively seeking a new maintainer to take over Chainlit. These decisions are not taken lightly, but we believe it’s the best way to move forward. While this marks the end of our direct involvement with these products, we’re excited about what comes next.

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Migration Options

We understand this transition may be challenging, so we’ve prepared several migration paths to help you continue your LLM operations seamlessly.

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Options:

  • LangSmith: LangSmith by LangChain is a comprehensive LLMOps platform that offers robust observability, evaluation, and monitoring capabilities.
  • LangFuse: LangFuse is an open-source LLM engineering platform that provides observability, analytics, and experimentation capabilities.
  • Open Source Data Layer (Self-Hosted): For users who want only want a data layer and don’t need observability or evaluation capabilities.

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Migration Plan

1

Export Your Data

Export all your data from Literal AI using our Export Data functionality. This includes datasets, experiments, prompts.

2

Choose an alternative and upload your datasets

  • Once you have exported your data, you can choose an alternative and upload your assets.
  • Update your application logging mechanism to point to the new solution you chose.

Choose an alternative that supports OpenTelemetry. Most AI frameworks now support OpenTelemetry-based observability and most LLMOps platforms should support it.

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Data Export Before Migration

Before migrating to any alternative platform, make sure to export all your data from Literal AI. This includes:

  • Threads and Messages: All conversation data and context
  • Generations: LLM completions and their metadata
  • Datasets: Evaluation datasets and test cases
  • Prompt Templates: All saved prompts and their versions
  • Evaluation Results: Scorer outputs and experiment results

Refer to our Export Data guide for detailed instructions on how to extract your data programmatically.

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Support During Migration

While we’re winding down Literal AI, we’re committed to helping you through this transition:

  • Documentation: All migration resources will remain available
  • Export Assistance: Technical support for data export until service discontinuation

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Frequently Asked Questions

We apologize for any inconvenience this transition may cause and appreciate your understanding. The LLMOps ecosystem has grown significantly, and these alternative solutions will serve you well as you continue building amazing AI applications.