OpenAI's Decisions API (Better than Jev?)

Use OpenAI's Decisions API in C# to classify inputs, route requests, and evaluate text and images with typed answers. This walkthrough uses Agent Framework Toolkit to demonstrate choices, probabilities, scores, and multiple questions in one request. Source code: https://github.com/rwjdk/agent-framew... You'll learn how to: • Compare Decisions API with structured-output agents and Jev • Route music and movie questions with enum-based choices • Use probability thresholds for true/false decisions • Interpret weighted scores, confidence, and option probabilities • Build typed customer-support results with question attributes • Chain decisions to detect and locate animals in an image Agent Framework Toolkit (the OpenAI package used in this video): https://github.com/rwjdk/agent-framew... Decisions API guide: https://developers.openai.com/api/doc... Course — AI in C# using the Microsoft Agent Framework: https://www.udemy.com/course/ai-in-c-... Microsoft Agent Framework playlist:    • Microsoft Agent Framework for C#: All videos   Chapters 00:00 Decisions API, GPT-6 Luna, and Jev 01:55 Predicate, choice, and score outputs 03:38 Agent Framework Toolkit integration 04:44 The structured-output routing approach 06:39 Route requests with enum-based choices 08:58 True/false decisions and probability thresholds 11:55 Weighted scores and confidence 14:56 Multiple questions and typed support decisions 19:35 Image decisions: detect and locate animals 22:39 Tradeoffs and enum-based design 23:42 Get the OpenAI Toolkit package GitHub: https://github.com/rwjdk #OpenAI #AgentFramework #CSharp