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타입스크립트

  • TypedAI is a TypeScript-first SDK for building AI applications with type-safe model calls, schema validation, and streaming.
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    What is TypedAI?
    TypedAI delivers a developer-centric library that wraps large language models in strongly typed TypeScript abstractions. You define input and output schemas to validate data at compile time, create reusable prompt templates, and handle streaming or batch responses. It supports function calling patterns to connect AI outputs with backend logic, and integrates with popular LLM providers like OpenAI, Anthropic, and Azure. With built-in error handling and logging, TypedAI helps you ship robust AI features—chat interfaces, document summarization, code generation, and custom agents—without sacrificing type safety or developer productivity.
    TypedAI Core Features
    • Type-safe schema definitions for prompt I/O
    • Reusable prompt templating engine
    • Streaming and batch response handling
    • Function calling & tool integrations
    • Multi-provider support (OpenAI, Anthropic, Azure)
    • Built-in error handling and logging
    TypedAI Pro & Cons

    The Cons

    No explicit pricing information available on the website.
    No mobile app or browser extension links provided.
    Potentially steep learning curve due to extensive features and developer-centric focus.

    The Pros

    Supports advanced autonomous agents and complex task management with memory and persistent state.
    Integrates multiple LLM services and extensive tool and service callable functions like Filesystem, Jira, Slack, etc.
    Offers flexible deployment options including local, Docker, Cloud Run, and enterprise multi-user SSO.
    Includes software engineering agents that can assist in building the platform and code review workflows.
    Supports observability through OpenTelemetry and cost tracking for LLM usage.
    TypeScript-first design enabling strong typing and easier refactoring.
    Open source with active GitHub repository and community contributions.
  • A TypeScript and JSON Schema library enabling developers to define and validate AI agent tool interfaces type-safely
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    What is Xemantic AI Tool Schema?
    Xemantic AI Tool Schema is a set of JSON Schema and TypeScript type definitions designed to standardize the way AI agent tools are described, validated, and invoked. Developers can define tool metadata such as name, description, and parameters, then validate instances against the schema or use generated TypeScript interfaces during development. The schema supports parameter types, nested structures, default values, and version control, ensuring robust validation and compatibility. By following a consistent schema, AI Agents can discover and call tools reliably at runtime, improving maintainability and reducing integration errors. The package integrates seamlessly with Xemantic AI Agents and can be extended for custom use cases.
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