Literal AI is built by the team behind Chainlit

Ship


reliable

LLM applications

Empowering Developers, Product Managers and Domain Experts to Collaboratively Build, Evaluate and Monitor LLM apps.

Ship

reliable
LLM applications

Empowering Developers, Product Managers and Domain Experts to Collaboratively Build, Evaluate and Monitor LLM apps.

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Continuous improvement loop

Continuous improvement loop

Monitor your LLM calls

Log & monitor Agent runs, LLM generations and conversation threads.

Monitor your LLM calls

Log & monitor Agent runs, LLM generations and conversation threads.

Create Dataset

Mix hand written examples with production data.

Create Dataset

Mix hand written examples with production data.

Evaluate, iterate and deploy

Reliably iterate on your Prompts and code with online/offline evals and deploy to prod.

Replay LLM sessions

By debugging a monitored LLM call, you have access to the conversation context - prompt templates, prompt variables and provider settings - and leverage those to improve your prompt template or provider settings.

Manage & version your prompts

Prompt Templates, managed in your code or on Literal, are versioned and stored on Literal.

Replay sessions in prompt playground

Objects are linked in Literal. Debugging in context is extremely useful and time-saving.

Evaluate new prompt versions

Leverage online evaluation to score a Dataset on the new challenger prompt. Once validated, deploy the new prompt to production.

Replay LLM sessions

By debugging a monitored LLM call, you have access to the conversation context - prompt templates, prompt variables and provider settings - and leverage those to improve your prompt template or provider settings.

Manage & version your prompts

Prompt Templates, managed in your code or on Literal, are versioned and stored on Literal.

Replay sessions in prompt playground

Objects are linked in Literal. Debugging in context is extremely useful and time-saving.

Evaluate new prompt versions

Leverage online evaluation to score a Dataset on the new challenger prompt. Once validated, deploy the new prompt to production.

Replay LLM sessions

By debugging a monitored LLM call, you have access to the conversation context - prompt templates, prompt variables and provider settings - and leverage those to improve your prompt template or provider settings.

Manage & version your prompts

Prompt Templates, managed in your code or on Literal, are versioned and stored on Literal.

Replay sessions in prompt playground

Objects are linked in Literal. Debugging in context is extremely useful and time-saving.

Evaluate new prompt versions

Leverage online evaluation to score a Dataset on the new challenger prompt. Once validated, deploy the new prompt to production.

Content generation
Content generation
Content generation

LLM Integrations

Seamlessly integrate Literal in your application by leveraging its integrations with the entire LLM ecosystem.

Python & TypeScript SDK

Seamlessly integrate in your application code

Python & TypeScript SDK

Seamlessly integrate in your application code

Multi-modal

Literal supports multi-modal inputs and outputs!

Multi-modal

Literal supports multi-modal inputs and outputs!

Threads, Agents, LLMs

A powerful data model for both conversational and non-conversational AI

Threads, Agents, LLMs

A powerful data model for both conversational and non-conversational AI

Evaluation

Seamlessly incorporate images, videos, and other multimedia into your content.

Offline Evaluation

Leverage popular open-source frameworks such as Ragas or OpenAI Evals to evaluate your LLM system and upload the experiment's results

Online Evaluation

Define LLM-based or code-based evaluators on Literal AI and continuously monitor your LLM application

A/B testing

Compare both pre-production and post-production configurations to improve your LLM application

Image and media Integration
Image and media Integration
Image and media Integration
From Prototype to Production

Literal AI is a comprehensive solution, offering a developer-friendly platform that enables the product team to safely iterate on prompts and effectively monitor the KPIs of your LLM app.

Prompt Management

Both your product and engineering teams can seamlessly manage the full lifecycle of your prompts, from creation to deployment.

Observability

Log all data from your app including user messages, LLM calls, agents and chain runs, latency, token count, and human feedback.

Dataset

Create Datasets to evaluate prompt templates directly on Literal. Mix hand written input/output pairs with production data.

Evaluation

Track your prompt performances, iterate, and ensure no regression occurs before deploying the new prompt version.

Analytics

Monitor your application usage through a blend of traditional product metrics and advanced LLM-powered analytics.

Multi Modal

Designed to support multi-modal content as LLMs continue to evolve and expand their capabilities.

What our Users Say

Hear directly from those who build with Literal.

Testimonial avatar
Christian Fanli Ramsey
Lead AI Engineer at IDEO

Managing and understanding the performance of our chatbot is crucial. Literal has been an invaluable tool in this process. It has allowed us to log every conversation, collect user feedback, and leverage analytics to gain a deeper understanding of our chatbot's usage.

Testimonial avatar
Christian Fanli Ramsey
Lead AI Engineer at IDEO

Managing and understanding the performance of our chatbot is crucial. Literal has been an invaluable tool in this process. It has allowed us to log every conversation, collect user feedback, and leverage analytics to gain a deeper understanding of our chatbot's usage.

Testimonial avatar
Christian Fanli Ramsey
Lead AI Engineer at IDEO

Managing and understanding the performance of our chatbot is crucial. Literal has been an invaluable tool in this process. It has allowed us to log every conversation, collect user feedback, and leverage analytics to gain a deeper understanding of our chatbot's usage.

Florian
Staff Data Engineer at Back Market

Developing and monitoring all of our GenAI projects is a critical part of my role. Literal has been an absolute game-changer. It not only allows us to track the Chain of Thought of our agents/chains but also enables prompt collaboration with different teams.

Florian
Staff Data Engineer at Back Market

Developing and monitoring all of our GenAI projects is a critical part of my role. Literal has been an absolute game-changer. It not only allows us to track the Chain of Thought of our agents/chains but also enables prompt collaboration with different teams.

Florian
Staff Data Engineer at Back Market

Developing and monitoring all of our GenAI projects is a critical part of my role. Literal has been an absolute game-changer. It not only allows us to track the Chain of Thought of our agents/chains but also enables prompt collaboration with different teams.

Maciej
Technical Director at Evertz

Building an effective chatbot for Evertz's internal operations was a daunting task but working with Literal has made the process significantly easier. It has allowed us to analyze each step of our users interactions and to more quickly converge on the desired behaviour.

Maciej
Technical Director at Evertz

Building an effective chatbot for Evertz's internal operations was a daunting task but working with Literal has made the process significantly easier. It has allowed us to analyze each step of our users interactions and to more quickly converge on the desired behaviour.

Maciej
Technical Director at Evertz

Building an effective chatbot for Evertz's internal operations was a daunting task but working with Literal has made the process significantly easier. It has allowed us to analyze each step of our users interactions and to more quickly converge on the desired behaviour.

Pricing

Starter

Free

/month

1,000 Threads / 30,000 Steps

Threads, Runs, Steps Observability

Human Feedback Collection

Python / TypeScript SDK

Prompt Playground

LLM Usage Analytics

Custom

Business

Prompt Evaluation

Prompt A/B Testing

Volume-based pricing

Automated Evaluation

LLM powered user analytics

Self-Hosting / Dedicated Infrastructure

Starter
Free
/month

1,000 Threads / 30,000 Steps

Threads, Runs, Steps Observability

Human Feedback Collection

Python / TypeScript SDK

Prompt Playground

LLM Usage Analytics

Custom
Business

Prompt Evaluation

Prompt A/B Testing

Volume-based pricing

Automated Evaluation

LLM powered user analytics

Self-Hosting / Dedicated Infrastructure

Starter
Free
/month

1,000 Threads / 30,000 Steps

Threads, Runs, Steps Observability

Human Feedback Collection

Python / TypeScript SDK

Prompt Playground

LLM Usage Analytics

Custom
Business

Prompt Evaluation

Prompt A/B Testing

Volume-based pricing

Automated Evaluation

LLM powered user analytics

Self-Hosting / Dedicated Infrastructure

Ship

reliable

LLM applications

Empowering Developers, Product Managers and Domain Experts to Collaboratively Build, Evaluate and Monitor LLM apps.

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