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🤖 Regenerate LLMs.txt
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‎public/llms.txt‎

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<!-- git-sha: e880e294276a79dad1acdac87160a054f8620106 generation-date: 2025-12-19T16:48:21.093Z -->
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# Arcade
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- [Fetch the "ScrapeUrl" tool from the "Firecrawl" MCP Server](https://docs.arcade.dev/en/home/langchain/use-arcade-tools.md): This documentation page provides a comprehensive guide for integrating Arcade tools into LangGraph applications, detailing the necessary prerequisites, environment setup, API key configuration, and tool management. Users will learn how to create and manage AI models, configure agents, and stream responses while
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- [Import necessary classes and modules](https://docs.arcade.dev/en/home/langchain/user-auth-interrupts.md): This documentation page guides users in creating a LangGraph workflow that incorporates user authorization for specific Arcade tools. It outlines the prerequisites, installation steps, and configuration needed to set up the environment, as well as detailed instructions for defining workflow functions and compiling the Lang
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- [page](https://docs.arcade.dev/en/home/langchain/auth-langchain-tools.md): This documentation page provides a step-by-step guide on how to authorize existing LangChain tools, such as the `GmailToolkit`, using the Arcade platform. It outlines the prerequisites, installation of necessary packages, and detailed instructions for initializing the Arcade client and
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- [Setup Arcade with LangChain](https://docs.arcade.dev/en/home/langchain/use-arcade-with-langchain.md): This documentation page provides a comprehensive guide on integrating Arcade tools within LangChain agents, enabling users to build AI agents that leverage Arcade's functionalities. It covers essential prerequisites, step-by-step instructions for project setup, and key concepts such as agents and interrupts,
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## Mastra
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