OpenPipe llms.txt · AI Docs Browser · mdream [llms.txt Tools](https://mdream.dev/llms-txt/openpipe/llms-txt) # OpenPipe llms.txt docs.openpipe.ai/llms.txt [Raw llms.txt](https://docs.openpipe.ai/llms.txt) [Raw llms-full.txt](https://docs.openpipe.ai/llms-full.txt) Copy Markdown [](https://docs.openpipe.ai/llms.txt) llms.txt Docs Delete Dataset Delete Model Get Model List Datasets List Models Chat Completions Create Dataset Add Entries to Dataset Create Model Judge Criteria Report Report Anthropic Update Metadata Base Models Caching Anthropic Proxy Proxying to External Models Gemini Proxy Chat Completions Criterion Alignment Sets API Endpoints Criteria Criteria Quick Start Exporting Data Importing Request Logs Datasets Datasets Quick Start Relabeling Data Uploading Data Deployment Types Direct Preference Optimization (DPO) DPO Quick Start Code Evaluations Criterion Evaluations Head-to-Head Evaluations Evaluations Evaluations Quick Start External Models Fallback options Fine Tuning via API Fine-Tuning Quick Start Reward Models (Beta) Fine Tuning via Webapp Pruning Rules Exporting Logs Logging Requests Logging Anthropic Requests Updating Metadata Tags Installing the SDK Quick Start OpenPipe Documentation Overview Pricing Overview OpenAPI Specs openapi ## What is OpenPipe's llms.txt? OpenPipe publishes an `/llms.txt` file that provides AI systems with a structured index of its documentation. It follows the [llms.txt specification](https://llmstxt.org), organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what OpenPipe offers and where to find details. Pass Spec 2 Sections 54 Links 7.0 KB Size ~1.8k Tokens Sections: Docs · OpenAPI Specs ## Add OpenPipe Docs to Your AI Assistant Select your tool to see how to add OpenPipe's llms.txt as a documentation source. Cursor Windsurf Claude Code ChatGPT Zed Copilot 1. 1 Open any chat or composer panel 2. 2 Type @Docs and select "Add new doc" 3. 3 Paste the URL: https://docs.openpipe.ai/llms.txt 4. 4 Wait for the green dot (indexing complete) 5. 5 Reference @Docs in chat when asking about OpenPipe Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too. ## Spec Compliance 3 notes ## Frequently Asked Questions Where is OpenPipe's llms.txt file? OpenPipe publishes its llms.txt at https://docs.openpipe.ai/llms.txt. This file provides a structured, markdown-formatted index of OpenPipe's documentation that AI systems can consume to understand the project's APIs, guides, and references. How do I use OpenPipe's llms.txt with AI coding assistants? Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of OpenPipe's documentation so it can provide better code suggestions and answers about OpenPipe. What does OpenPipe's llms.txt contain? OpenPipe's llms.txt contains 2 sections and 54 documentation links in 7.0 KB (~1.8k tokens). Key sections include Docs, OpenAPI Specs. How many tokens does OpenPipe's llms.txt use? The concise llms.txt index is approximately 1.8k tokens (7.0 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline. Can I generate an llms.txt for my own project? Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator. ## Browse More llms.txt Files [Leantime: Project Management for Non-project Managers Leantime: Free, open-source project management software designed for ADHD, ADD, and all brains, streamlining tasks, boosting productivity & collaboration.](https://mdream.dev/llms-txt/openpipe/llms-txt/leantime-project-management-for-non-project-managers) [Postmark Postmark is a reliable transactional email service that helps developers deliver and track application emails. 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It provides high-level APIs in Java, Scala, Python, and R, and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for incremental computation and stream processing.](https://mdream.dev/llms-txt/openpipe/llms-txt/apache-spark) [Hello world A very fast and versatile markdown toolchain. AST, React, React Native, SolidJS, Vue, Markdown, and HTML output available with full customization.](https://mdream.dev/llms-txt/openpipe/llms-txt/hello-world) [View all 99 projects ](https://mdream.dev/llms-txt/openpipe/llms-txt) ## Related Tools [

llms.txt Generator

Generate an llms.txt for your own project.](https://mdream.dev/llms-txt/openpipe/tools/llms-txt/generator) [

llms.txt Validator

Validate your llms.txt against the official spec.](https://mdream.dev/llms-txt/openpipe/tools/llms-txt/validator) © 2026 [Harlan Wilton](https://github.com/harlan-zw) · [MIT](https://github.com/harlan-zw/mdream/blob/main/license) [GitHub](https://github.com/harlan-zw/mdream) [Discord](https://discord.com/invite/275MBUBvgP)