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Mechanisms allowing models to request the execution of external functions to retrieve real-world data or perform actions.
Distinct from Pure Function Model Execution: Distinct from Pure Function Model Execution: focuses on external tool integration and function calling rather than internal stateless model execution patterns.
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This project is a Python software development kit and framework for building applications that integrate with large language models. It serves as a multimodal content generator and vector embedding library, enabling the production and editing of text, images, audio, and video. The toolkit provides specialized capabilities for adapting base models through supervised and reinforcement training. It further distinguishes itself by offering tools for orchestrating complex workflows, including stateful chat sessions, the enforcement of structured output via schemas, and the integration of external
Connects a model to custom functions or external tools to request and receive real-world data.