Literal AI is the collaborative observability, evaluation and analytics platform for building production-grade LLM apps. Literal AI offers multimodal logging, including vision, audio, and video.

Collaborative Flow on Literal AI

It covers a wide range of LLM-based use cases such as agentic applications, RAG, chatbots and task automation. Literal AI integrates seemlessly with many third parties such as OpenAI, LangChain/LangGraph or Llama Index.

Literal AI is developed by the builders of Chainlit, the open-source Conversational AI Python framework.

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Key features

  1. Logs: Instrument your code with the Literal AI SDK to log your LLM app in production.

  2. Prompt Management: Safely create, A/B test, debug, and version prompts directly from Literal AI.

  3. Dataset: Create datasets mixing production data and hand written examples to run non regression tests/experiments.

  4. Evaluation: Evaluate and monitor the performance of your LLM app in production. View LLM metrics in a dashboard, set automated rules and collect product & user analytics.

Literal AI Platform Overview

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Next up

Instrument your Code

Install the Literal AI SDK and get your API key.

Create your First Prompt

Create, version and A/B test your prompts in the Prompt Playground.

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Quick Start