Tags: llm* + api* + automation*

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  1. This article explores the Model Context Protocol (MCP), an open protocol designed to standardize AI interaction with tools and data, addressing the fragmentation in AI agent ecosystems. It details current use cases, future possibilities, and challenges in adopting MCP.

  2. GitHub Models now allows developers to retrieve structured JSON responses from models directly in the UI, improving integration with applications and workflows. Supported models include OpenAI (except for o1-mini and o1-preview) and Mistral models.

  3. Hugging Face introduces a unified tool use API across multiple model families, making it easier to implement tool use in language models.

    Hugging Face has extended chat templates to support tools, offering a unified approach to tool use with the following features:

    • Defining tools: Tools can be defined using JSON schema or Python functions with clear names, accurate type hints, and complete docstrings.
    • Adding tool calls to the chat: Tool calls are added as a field of assistant messages, including the tool type, name, and arguments.
    • Adding tool responses to the chat: Tool responses are added as tool messages containing the tool name and content.

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