# Literal AI Documentation

## Docs

- [Overview](https://docs.literalai.com/get-started/overview.md): Literal AI is the collaborative platform for building **production-grade LLM apps**.
- [Quick Start](https://docs.literalai.com/get-started/quick-start.md): Install the Literal AI client and get your API key
- [Annotation Queues](https://docs.literalai.com/guides/annotation-queue.md): Annotation Queues help you organise and streamline the human evaluation process. You can easily set-up queues, add data for review and provide an accessible and efficient ui for domain experts to score, tag and add to datasets crucial insights.
- [Continuous Improvement](https://docs.literalai.com/guides/continuous-improvement.md): Improve your LLM applications over time with continuous improvement.
- [Dashboard](https://docs.literalai.com/guides/dashboard.md): Monitor your AI application usage, and track performance and reliability.
- [Datasets](https://docs.literalai.com/guides/dataset.md): Datasets are collections of input/expected output samples for conducting experiments and non regression tests.
- [Fine-tuning](https://docs.literalai.com/guides/distillation.md): Fine-tune your LLM models to improve performance and reduce costs.
- [Evaluation](https://docs.literalai.com/guides/evaluation.md): Learn how to evaluate your LLM applications and agents.
- [Experiments](https://docs.literalai.com/guides/experiment.md): Experiments enable continous improvement of your Prompt/Agent -- i.e. guarantee net improvements.
- [Logs](https://docs.literalai.com/guides/logs.md): Logs are essential to monitor and improve your LLM app in production. Literal AI provides flexible and composable SDKs to log your LLM app at different levels of granularity.
- [Online Evals](https://docs.literalai.com/guides/online-evals.md): Automatically evaluate your LLM logs in production, monitor performance and detect issues.
- [Playground](https://docs.literalai.com/guides/playground.md): The playground is a place where you can create, test, and debug prompts.
- [Prompts](https://docs.literalai.com/guides/prompts.md): Prompt Management enables collaboration between engineering and product teams to create, version, A/B test, debug, and monitor prompts directly from Literal AI.
- [Scorers](https://docs.literalai.com/guides/scorers.md): Scorers are functions (code or LLM-as-a-judge) that take an input, output and expected output and return a score.
- [General](https://docs.literalai.com/guides/settings/general.md)
- [LLM](https://docs.literalai.com/guides/settings/llm.md): Manage your LLM credentials and costs.
- [Scoring](https://docs.literalai.com/guides/settings/scoring.md)
- [Team](https://docs.literalai.com/guides/settings/team.md)
- [Users](https://docs.literalai.com/guides/users.md): Understand your end users, and how they interact with your application.
- [Chainlit](https://docs.literalai.com/integrations/chainlit.md)
- [LangChain/LangGraph](https://docs.literalai.com/integrations/langchain.md)
- [LiteLLM](https://docs.literalai.com/integrations/litellm.md)
- [Llama Index](https://docs.literalai.com/integrations/llama-index.md)
- [Other LLM Providers (Anthropic, etc.)](https://docs.literalai.com/integrations/llm-providers.md)
- [LLM Inference servers (vLLM, etc.)](https://docs.literalai.com/integrations/messages-server.md)
- [Mistral AI](https://docs.literalai.com/integrations/mistralai.md)
- [OpenAI](https://docs.literalai.com/integrations/openai.md)
- [OpenLLMetry](https://docs.literalai.com/integrations/openllmetry.md)
- [Vercel AI SDK](https://docs.literalai.com/integrations/vercel-ai-sdk.md)
- [Export Data](https://docs.literalai.com/more/export-data.md)
- [Migration Guide](https://docs.literalai.com/more/migration-guide.md)
- [Release Notes](https://docs.literalai.com/more/release-notes.md)
- [Roadmap](https://docs.literalai.com/more/roadmap.md)
- [Privacy & Security](https://docs.literalai.com/more/security.md)
- [Api](https://docs.literalai.com/python-client/api-reference/api.md)
- [Client](https://docs.literalai.com/python-client/api-reference/client.md)
- [Dataset](https://docs.literalai.com/python-client/api-reference/dataset.md)
- [Generation](https://docs.literalai.com/python-client/api-reference/generation.md)
- [Step](https://docs.literalai.com/python-client/api-reference/step.md)
- [Thread](https://docs.literalai.com/python-client/api-reference/thread.md)
- [Changelog](https://docs.literalai.com/python-client/development/changelog.md)
- [Introduction & Installation](https://docs.literalai.com/python-client/get-started/introduction.md)
- [Manual Deployment](https://docs.literalai.com/self-hosting/deployment.md)
- [Get Started](https://docs.literalai.com/self-hosting/get-started.md)
- [Api](https://docs.literalai.com/typescript-client/api-reference/api.md)
- [Dataset](https://docs.literalai.com/typescript-client/api-reference/dataset.md)
- [Changelog](https://docs.literalai.com/typescript-client/development/changelog.md)
- [Installation](https://docs.literalai.com/typescript-client/introduction.md)
- [With wrappers](https://docs.literalai.com/typescript-client/with-wrappers.md)
- [Without wrappers](https://docs.literalai.com/typescript-client/without-wrappers.md)

## OpenAPI Specs

- [openapi](https://docs.literalai.com/api-reference/openapi.json)

## Optional

- [Cookbooks](https://github.com/Chainlit/literalai-cookbooks)