CrewAI llms.txt · AI Docs Browser · mdream [llms.txt Tools](https://mdream.dev/llms-txt/crewai/llms-txt) # CrewAI llms.txt docs.crewai.com/llms.txt [Raw llms.txt](https://docs.crewai.com/llms.txt) [Raw llms-full.txt](https://docs.crewai.com/llms-full.txt) Copy Markdown [](https://docs.crewai.com/llms.txt) llms.txt Docs CrewAI Documentation GET /inputs Introduction POST /kickoff POST /resume GET /status/{kickoff_id} Changelog Agent Capabilities Agents Checkpointing CLI Collaboration Crews Event Listeners Files Flows Knowledge LLMs Memory Planning Processes Production Architecture Reasoning Skills Streaming Tasks Testing Tools Training A2A on AMP Agent Repositories Automations Crew Studio Flow HITL Management Hallucination Guardrail Marketplace One Card per Step PII Redaction for Traces Role-Based Access Control (RBAC) AWS Secrets Manager (Static Credentials) AWS Workload Identity (OIDC Federation) Azure Key Vault Azure Workload Identity Federation Google Cloud Secret Manager GCP Workload Identity Federation Secrets Manager Overview Using the Secrets Manager Verify Rotation Single Sign-On (SSO) Flows in Studio Tools & Integrations Traces Webhook Streaming Triggers Overview Azure OpenAI Setup Build Crew OpenTelemetry Export Custom MCP Servers Datadog Integration Deploy to AMP Enable Crew Studio Gmail Trigger Google Calendar Trigger Google Drive Trigger HubSpot Trigger HITL Workflows Kickoff Crew Microsoft Teams Trigger Monorepo Deployments OneDrive Trigger Outlook Trigger Prepare for Deployment Private Package Registries React Component Export Salesforce Trigger Slack Trigger Team Management Tool Repository Update Crew Vertex AI with Workload Identity Webhook Automation Zapier Trigger Asana Integration Box Integration ClickUp Integration Databricks Integration GitHub Integration Gmail Integration Google Calendar Integration Google Contacts Integration Google Docs Integration Google Drive Integration Google Sheets Integration Google Slides Integration HubSpot Integration Jira Integration Linear Integration Microsoft Excel Integration Microsoft OneDrive Integration Microsoft Outlook Integration Microsoft SharePoint Integration Microsoft Teams Integration Microsoft Word Integration Notion Integration Salesforce Integration Shopify Integration Slack Integration Snowflake Integration Stripe Integration Zendesk Integration CrewAI AMP FAQs CrewAI Cookbooks CrewAI Examples Customizing Prompts Fingerprinting Crafting Effective Agents Coding Tools Build with AI Evaluating Use Cases for CrewAI Build Your First Crew Conversational Flows Build Your First Flow Migrating from inputs.id to restore_from_state_id Mastering Flow State Management Moving from LangGraph to CrewAI: A Practical Guide for Engineers Upgrading CrewAI Publish Custom Tools Installation Introduction Before and After Kickoff Hooks Coding Agents Conditional Tasks Consuming Streams Create Custom Tools Custom LLM Implementation Custom Manager Agent Customize Agents Image Generation with DALL-E Execution Boundary Hooks Execution Hooks Force Tool Output as Result Hierarchical Process Human Feedback in Flows Human-in-the-Loop (HITL) Workflows Human Input on Execution Kickoff Crew Asynchronously Kickoff Crew for Each Using CrewAI Without LiteLLM Connect to any LLM LLM Call Hooks Strategic LLM Selection Guide Using Multimodal Agents Overview Replay Tasks from Latest Crew Kickoff Sequential Processes Step Hooks Streaming Runtime Contract Tool Call Hooks Using Annotations in crew.py MCP DSL Integration Connecting to Multiple MCP Servers MCP Servers as Tools in CrewAI MCP Security Considerations SSE Transport Stdio Transport Streamable HTTP Transport Arize Phoenix Braintrust Datadog Integration Galileo LangDB Integration Langfuse Integration Langtrace Integration Maxim Integration MLflow Integration Neatlogs Integration OpenLIT Integration Opik Integration Overview Patronus AI Evaluation Portkey Integration CrewAI Tracing TrueFoundry Integration Weave Integration Quickstart Skills Telemetry AI Mind Tool Code Interpreter DALL-E Tool Daytona E2B Sandbox Tools LangChain Tool LlamaIndex Tool Overview RAG Tool Vision Tool Apify Actors Composio Tool MultiOn Tool Overview Zapier Actions Tool Bedrock Knowledge Base Retriever Overview S3 Reader Tool S3 Writer Tool MongoDB Vector Search Tool MySQL RAG Search NL2SQL Tool Overview PG RAG Search Qdrant Vector Search Tool SingleStore Search Tool Snowflake Search Tool Weaviate Vector Search CSV RAG Search Directory Read Directory RAG Search DOCX RAG Search File Read File Write JSON RAG Search MDX RAG Search OCR Tool Overview PDF Text Writing Tool PDF RAG Search TXT RAG Search XML RAG Search Bedrock Invoke Agent Tool CrewAI Run Automation Tool Merge Agent Handler Tool Overview Tools Overview Arxiv Paper Tool Brave Search Tools Code Docs RAG Search Databricks SQL Query Tool Exa Search Tool Github Search Linkup Search Tool Overview SerpApi Google Search Tool SerpApi Google Shopping Tool Google Serper Search Tavily Extractor Tool Tavily Research Tool Tavily Search Tool Website RAG Search You.com Search & Research Tools YouTube Channel RAG Search YouTube Video RAG Search Bright Data Tools Browserbase Web Loader Firecrawl Crawl Website Firecrawl Scrape Website Hyperbrowser Load Tool Overview Oxylabs Scrapers Scrape Element From Website Tool Scrapegraph Scrape Tool Scrape Website Scrapfly Scrape Website Tool Selenium Scraper Spider Scraper Stagehand Tool You.com Content Extraction Tool OpenAPI Specs enterprise-api.pt-BR enterprise-api.ko enterprise-api.en enterprise-api.base Optional Website Forum Blog CrewGPT Website Fórum Blog CrewGPT 웹사이트 포럼 블로그 CrewGPT الموقع المنتدى المدوّنة CrewGPT ## What is CrewAI's llms.txt? CrewAI 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 CrewAI offers and where to find details. Pass Spec 3 Sections 288 Links 49.4 KB Size ~12.6k Tokens Sections: Docs · OpenAPI Specs · Optional ## Add CrewAI Docs to Your AI Assistant Select your tool to see how to add CrewAI'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.crewai.com/llms.txt 4. 4 Wait for the green dot (indexing complete) 5. 5 Reference @Docs in chat when asking about CrewAI 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 CrewAI's llms.txt file? CrewAI publishes its llms.txt at https://docs.crewai.com/llms.txt. This file provides a structured, markdown-formatted index of CrewAI's documentation that AI systems can consume to understand the project's APIs, guides, and references. How do I use CrewAI'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 CrewAI's documentation so it can provide better code suggestions and answers about CrewAI. What does CrewAI's llms.txt contain? CrewAI's llms.txt contains 3 sections and 288 documentation links in 49.4 KB (~12.6k tokens). Key sections include Docs, OpenAPI Specs, Optional. How many tokens does CrewAI's llms.txt use? The concise llms.txt index is approximately 12.6k tokens (49.4 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. 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