DSPy llms.txt · AI Docs Browser · mdream [llms.txt Tools](https://mdream.dev/llms-txt/dspy/llms-txt) # DSPy llms.txt Browse DSPy documentation as markdown. Click any page in the sidebar to view it, or copy the full llms.txt for your AI tools. dspy.ai/llms.txt [Raw llms.txt](https://dspy.ai/llms.txt) [Raw llms-full.txt](https://dspy.ai/llms-full.txt) Copy Markdown [](https://dspy.ai/llms.txt) llms.txt Get Started Overview Getting Started Changing modules Class-based signatures Composing modules Expanding signatures Your first program GEPA optimization Setting up DSPy Metrics Program, don't prompt Tools with ReAct Saving and loading Where to go next Diving Deeper Adapters: how signatures become prompts BootstrapFewShot family Built-in module variants Optimizers: choosing one GEPA in depth Metrics and evaluation Modules: composing your own RLM: exploring large contexts with code Saving and loading Settings and context() Signatures in depth Tools, ReAct, and MCP Tutorials - Docs Tutorials Overview Building a Creative Text-Based AI Game Async Overview Cache Classification Managing Conversation History Overview Deployment Email Information Extraction Overview Generating llms.txt Use MCP in DSPy Memory-Enabled ReAct Agents Debugging & Observability Overview Tracking DSPy Optimizers Output Refinement Privacy-Conscious Delegation Overview Overview Code Generation for Unfamiliar Libraries Saving and Loading Streaming Financial Analysis with Yahoo Finance Tutorials - Notebooks Building RAG as Agent Audio Classification Finetuning Building AI Applications by Customizing DSPy Modules Building AI Agents with DSPy Cohort analysis demo Entity Extraction Finetuning Agents GEPA for AIME (Math) GEPA for Structured Information Extraction for Enterprise Tasks GEPA for Privacy-Conscious Delegation GEPA for Code Backdoor Classification (AI control) Image Generation Prompt iteration Math Reasoning Multi-Hop RAG Program Of Thought Retrieval-Augmented Generation (RAG) RL for Multi-Hop Research RL for Privacy-Conscious Delegation Advanced Tool Use Community Built with DSPy Resources Contributing Normalized LM API Migration Use Cases FAQ FAQ Cheatsheet API Reference API Reference Adapters Adapter ChatAdapter JSONAdapter TwoStepAdapter XMLAdapter Evaluation CompleteAndGrounded Evaluate EvaluationResult SemanticF1 answer_exact_match answer_passage_match Experimental Citations Document Models BaseLM Embedder LM Modules BestOfN ChainOfThought CodeAct Module MultiChainComparison Parallel Predict ProgramOfThought RLM ReAct Refine Optimizers BetterTogether BootstrapFewShot BootstrapFewShotWithRandomSearch BootstrapFinetune BootstrapRS COPRO Ensemble InferRules KNN KNNFewShot LabeledFewShot MIPROv2 SIMBA 2. GEPA Advanced 1. GEPA Overview Primitives Audio Code Example History Image Prediction Tool ToolCalls Signatures InputField OutputField Signature Tools ColBERTv2 Embeddings PythonInterpreter Utils Errors StatusMessage StatusMessageProvider StreamListener asyncify configure configure_cache context disable_litellm_logging disable_logging enable_litellm_logging enable_logging inspect_history load streamify ## What is DSPy's llms.txt? DSPy 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 DSPy offers and where to find details. Pass Spec 8 Sections 159 Links 11.8 KB Size ~3.0k Tokens Sections: Get Started · Getting Started · Diving Deeper · Tutorials - Docs · Tutorials - Notebooks · Community · and 2 more ## Add DSPy Docs to Your AI Assistant Select your tool to see how to add DSPy'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://dspy.ai/llms.txt 4. 4 Wait for the green dot (indexing complete) 5. 5 Reference @Docs in chat when asking about DSPy 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 DSPy's llms.txt file? DSPy publishes its llms.txt at https://dspy.ai/llms.txt. This file provides a structured, markdown-formatted index of DSPy's documentation that AI systems can consume to understand the project's APIs, guides, and references. How do I use DSPy'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 DSPy's documentation so it can provide better code suggestions and answers about DSPy. What does DSPy's llms.txt contain? DSPy's llms.txt contains 8 sections and 159 documentation links in 11.8 KB (~3.0k tokens). Key sections include Get Started, Getting Started, Diving Deeper, Tutorials - Docs, Tutorials - Notebooks, Community. How many tokens does DSPy's llms.txt use? The concise llms.txt index is approximately 3.0k tokens (11.8 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. What is DSPy? The framework for programming - rather than prompting - language models.. DSPy's llms.txt file helps AI systems understand this by providing a structured overview of its documentation, making it easier for developers to get accurate AI-assisted help when working with DSPy. 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. 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llms.txt Validator

Validate your llms.txt against the official spec.](https://mdream.dev/llms-txt/dspy/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)