The framework defines the tool interface through the Pydantic model, which not only supports OpenAI native function calls, but also creates a unique ToolMessage mechanism to guarantee the ability of non-OpenAI model tool calls. When LLM generates a tool call request, the system automatically captures the structured message and executes the corresponding Python function, and is also fault-tolerant in handling incorrectly formatted JSON output. This design enables developers to uniformly extend external capabilities such as database queries, API calls, and other complex operations for local or cloud-based LLMs.
This answer comes from the articleLangroid: Easily Navigating Large Language Models with Multi-Intelligent Body ProgrammingThe
May not be reproduced without permission:AI productivity tools " Langroid's tool-calling mechanism is compatible with any LLM model.
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