What is LLM tool calling, and how does it work?
Blog post from Portkey
AI assistants today leverage a capability known as tool calling, which enables them to perform practical tasks by invoking external functions or services, such as querying databases or interacting with APIs. This mechanism allows language models to act as coordinators, deciding when to call a tool, formatting the call, and integrating the output into conversations. Companies like Portkey enhance this process by offering orchestration and observability layers, ensuring seamless tool calling across multiple AI models and providers, and providing features like retry logic and fallback routing for robust performance. By enabling interactions with external systems, tool calling elevates AI from simple conversation models to powerful agents capable of real-time data retrieval, workflow automation, and decision-making.
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