Literal AI is built by the team behind Chainlit
Literal AI is built by the team behind Chainlit
Ship
reliable
LLM applications
LLM applications
Literal AI is the multi-modal LLM evaluation and observability platform built for Developers and Product Owners.
reliable
LLM applications
Literal AI is the multi-modal LLM evaluation and observability platform built for Developers and Product Owners.
reliable
LLM applications
Literal AI is the multi-modal 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 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 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.
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.
John
Version 1
Olivia
Version 2
John
Version 1
Olivia
Version 2
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
Hear directly from builders
Users love Literal AI
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.
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.
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.
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.
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.
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.
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.
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.
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.
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