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訊息格式

  • Create your stylish, personal webpage within minutes with texts.run.
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    What is texts.run?
    Texts.run is an innovative platform that allows users to create a personal webpage in a messenger-like format effortlessly. With its no-code environment, users can easily launch their personal sites within minutes, share stories, and add rich media. The platform's AI assistant and customizable username feature further enhance the user experience.
    texts.run Core Features
    • AI Assistant
    • Messenger-style layout
    • No coding required
    • Rich media support
    • Customizable username
    texts.run Pro & Cons

    The Cons

    Limited information on advanced customization options
    No explicit mention of mobile apps or extensions
    No open source availability

    The Pros

    No coding required to create a personal webpage
    AI assistant available to help write content
    Simple messenger-like bubble format for easy readability
    Quick and fast setup
    texts.run Pricing
    Has free planYES
    Free trial detailsFree trial available for Pro plan
    Pricing modelFreemium
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyMonthly

    Details of Pricing Plan

    Hobby

    0 USD
    • Tell your story
    • No coding required
    • Add rich media
    • Pick a username
    • Automagical SEO
    • Simple analytics
    • Style your content
    • Embeds and integrations
    • Light and dark mode

    Pro

    5 USD
    • Everything in Hobby, plus AI Assistant
    • Let visitors contact you
    For the latest prices, please visit: https://www.texts.run/pricing
  • A set of AWS code demos illustrating LLM Model Context Protocol, tool invocation, context management, and streaming responses.
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    What is AWS Sample Model Context Protocol Demos?
    The AWS Sample Model Context Protocol Demos is an open-source repository showcasing standardized patterns for Large Language Model (LLM) context management and tool invocation. It features two complete demos—one in JavaScript/TypeScript and one in Python—that implement the Model Context Protocol, enabling developers to build AI agents that call AWS Lambda functions, preserve conversation history, and stream responses. Sample code demonstrates message formatting, function argument serialization, error handling, and customizable tool integrations, accelerating prototyping of generative AI applications.
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