Explore the evolution of AI function calling from provider-native implementations to platform-managed solutions. Learn the advantages of both approaches, migration strategies, and how to choose the right function calling architecture for your business automation needs.

Discover why multi-provider AI strategy is essential for business resilience. Learn how Predictable Dialogs enables seamless switching between OpenAI, Anthropic Claude, and XAI Grok while maintaining consistent user experiences and avoiding vendor lock-in risks.

Learn how platform-managed vector search simplifies AI file search with configurable chunking, cost optimization, and full control over document processing. Compare OpenAI platform management vs Predictable Dialogs managed vector stores for business applications.

This post walks through setting up an AI agent on Predictable Dialogs to fetch current weather data using OpenAI function calling. It demonstrates how to define a getWeather function with latitude and longitude parameters, configure the Open-Meteo API endpoint using the GET method, and link it within the Predictable Dialogs platform.

This post explains practical uses of function calling in AI applications, highlighting three core categories: Data Collection, Action Triggering, and Information Retrieval. By integrating external APIs, function calling enables AI to move beyond static replies to perform dynamic tasks in the real world.