Literal AI is built by the team behind Chainlit

Evaluate and

Evaluate and
Evaluate and

improve

improve

improve

LLM applications

RAG
LLM applications

LLM applications

Literal AI is the go-to LLM evaluation and observability platform built for Developers and Product Owners.

Literal AI is the go-to LLM evaluation and observability platform built for Developers and Product Owners.

Literal AI is the go-to LLM evaluation and observability platform

built for Developers and Product Owners.

Trusted by

Trusted by

Trusted by

THreads, RUns, Steps & Generations

LLM observability

LLM observability is crucial to create a healthy LLM app lifecycle. Developers and Product Owners can iterate and debug issues faster. Leverage those logs to fine-tune a smaller model, increase performance and reduce costs.

LLM tracing

Log all LLM calls: LLM Generations, Agent Runs and Conversation Threads.

LLM tracing

Log all LLM calls: LLM Generations, Agent Runs and Conversation Threads.

LLM tracing

Log all LLM calls: LLM Generations, Agent Runs and Conversation Threads.

In-context debugging

Visualize and replay production LLM sessions with all context: prompt templates, prompt variables and provider settings in a powerful prompt playground.

In-context debugging

Visualize and replay production LLM sessions with all context: prompt templates, prompt variables and provider settings in a powerful prompt playground.

In-context debugging

Visualize and replay production LLM sessions with all context: prompt templates, prompt variables and provider settings in a powerful prompt playground.

Advanced data management

Search, filter, tag, and export all data and metadata.

Advanced data management

Search, filter, tag, and export all data and metadata.

Advanced data management

Search, filter, tag, and export all data and metadata.

Fine-tuning from logs

Leverage your logged data to fine-tune a smaller model, increase performance & reduce costs.

Fine-tuning from logs

Leverage your logged data to fine-tune a smaller model, increase performance & reduce costs.

Fine-tuning from logs

Leverage your logged data to fine-tune a smaller model, increase performance & reduce costs.

Mitigate Risk

LLM evaluation

Track your prompt performances. Iterate, and ensure no regressions occur before deploying a new prompt version.

Datasets

Mix handwritten examples with production data. Create Datasets to evaluate prompt templates directly on Literal AI.

Datasets

Mix handwritten examples with production data. Create Datasets to evaluate prompt templates directly on Literal AI.

Datasets

Mix handwritten examples with production data. Create Datasets to evaluate prompt templates directly on Literal AI.

Offline evaluations

Leverage open-source evaluation frameworks such as Ragas or OpenAI Evals and upload the experiment's results.

Offline evaluations

Leverage open-source evaluation frameworks such as Ragas or OpenAI Evals and upload the experiment's results.

Offline evaluations

Leverage open-source evaluation frameworks such as Ragas or OpenAI Evals and upload the experiment's results.

Online evaluations

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

Online evaluations

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

Online evaluations

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

A/B testing

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

A/B testing

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

A/B testing

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

PROMPT CONTROL

Prompt management & prompt engineering

Literal AI fosters collaboration between developers and product teams, streamlining the process of tracking, optimizing, and integrating prompt versions for more efficient and effective LLM application development.

Prompt versioning

Store all prompt and provider settings versions. Compare and track the performance of prompt versions in production.

Prompt versioning

Store all prompt and provider settings versions. Compare and track the performance of prompt versions in production.

Prompt API

Query, register and deploy prompt templates from your code or Literal AI.

Prompt API

Query, register and deploy prompt templates from your code or Literal AI.

Prompt Playground

Test multiple LLM providers, prompt variables, and provider settings in the Prompt Playground. Leverage Literal AI advanced prompt templating language based on Mustache.

Prompt Playground

Test multiple LLM providers, prompt variables, and provider settings in the Prompt Playground. Leverage Literal AI advanced prompt templating language based on Mustache.

PROMPT CONTROL

Prompt management & prompt engineering

Literal AI fosters collaboration between developers and product teams, streamlining the process of tracking, optimizing, and integrating prompt versions for more efficient and effective LLM application development.

Prompt versioning

Store all prompt and provider settings versions. Compare and track the performance of prompt versions in production.

Prompt API

Query, register and deploy prompt templates from your code or Literal AI.

Prompt Playground

Test multiple LLM providers, prompt variables, and provider settings in the Prompt Playground. Leverage Literal AI advanced prompt templating language based on Mustache.

Content generation

John

Version 1

Olivia

Version 2

Content generation

John

Version 1

Olivia

Version 2

Content generation

John

Version 1

Olivia

Version 2

LLM MONITORING

LLM monitoring and analytics

Once you have LLM logs, evaluations, and prompt management in place you can monitor the performance of your LLM system in production.

LLM metrics dashboard

Monitor and visualize latency, token count, and custom KPIs. Metrics can be deterministic or come from evaluations (hallucinations, relevancy…).

LLM metrics dashboard

Monitor and visualize latency, token count, and custom KPIs. Metrics can be deterministic or come from evaluations (hallucinations, relevancy…).

LLM metrics dashboard

Monitor and visualize latency, token count, and custom KPIs. Metrics can be deterministic or come from evaluations (hallucinations, relevancy…).

Automated rules

Set a threshold and rules to trigger alerts or automatically add a tag to your logged calls.

Automated rules

Set a threshold and rules to trigger alerts or automatically add a tag to your logged calls.

Automated rules

Set a threshold and rules to trigger alerts or automatically add a tag to your logged calls.

Product & user analytics

Collect human feedback from end-users through programmatic API. Either explicit (up/down) or from product analytics.

Product & user analytics

Collect human feedback from end-users through programmatic API. Either explicit (up/down) or from product analytics.

Product & user analytics

Collect human feedback from end-users through programmatic API. Either explicit (up/down) or from product analytics.

LLM Integrations

Connect & integrate.

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

LLM Providers:

OpenAI, Anthropic, Groq, Mistral AI, Azure, Gemini

LLM Providers:

OpenAI, Anthropic, Groq, Mistral AI, Azure, Gemini

LLM Providers:

OpenAI, Anthropic, Groq, Mistral AI, Azure, Gemini

AI Frameworks:

LangChain, LlamaIndex, Vercel AI, OpenAI Assistant, Chainlit

AI Frameworks:

LangChain, LlamaIndex, Vercel AI, OpenAI Assistant, Chainlit

AI Frameworks:

LangChain, LlamaIndex, Vercel AI, OpenAI Assistant, Chainlit

Self-Hostable

Azure, GCP, Amazon auto deployments

Python SDK, TypeScript SDK, GraphQL API

Seamlessly integrate in your application code

Hear directly from builders

Users love Literal AI

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.

built with security in mind

Certifications

LITERAL PRICING

Get started today.

Starter

Free

/month

Get started today with our free tier.

1,000 Threads / 30,000 Steps

Threads, Runs, Steps Observability

Human Feedback Collection

Python / TypeScript SDK

Prompt Playground

LLM Usage Analytics

Starter

Free

/month

Get started today with our free tier.

1,000 Threads / 30,000 Steps

Threads, Runs, Steps Observability

Human Feedback Collection

Python / TypeScript SDK

Prompt Playground

LLM Usage Analytics

Starter

Free

/month

Get started today with our free tier.

1,000 Threads / 30,000 Steps

Threads, Runs, Steps Observability

Human Feedback Collection

Python / TypeScript SDK

Prompt Playground

LLM Usage Analytics

Custom

Business

Optimize prompts through AI-powered evaluation and A/B testing, gain deep user insights with automated LLM analytics, and choose cost-effective volume pricing or self-hosted deployment.

Prompt Evaluation

Prompt A/B Testing

Volume-based pricing

Automated Evaluation

LLM powered user analytics

Self-Hosting / Dedicated Infrastructure

Custom

Business

Optimize prompts through AI-powered evaluation and A/B testing, gain deep user insights with automated LLM analytics, and choose cost-effective volume pricing or self-hosted deployment.

Prompt Evaluation

Prompt A/B Testing

Volume-based pricing

Automated Evaluation

LLM powered user analytics

Self-Hosting / Dedicated Infrastructure

Custom

Business

Optimize prompts through AI-powered evaluation and A/B testing, gain deep user insights with automated LLM analytics, and choose cost-effective volume pricing or self-hosted deployment.

Prompt Evaluation

Prompt A/B Testing

Volume-based pricing

Automated Evaluation

LLM powered user analytics

Self-Hosting / Dedicated Infrastructure

Trusted By

Trusted By

Trusted By