AI Engineering
Learn LLMs, RAG, agents, secure tools, and production AI through practical insurance examples.
OpenAI Agents SDK
The OpenAI Agents SDK provides agent-oriented building blocks for model calls, tools, handoffs, and run management. It offers a higher-level agent interface than manually processing each API response. SDK features and provider integration details depend on…
Microsoft Agent Framework: agents and workflows
Microsoft Agent Framework, or MAF, provides agent abstractions and explicit workflows. An agent handles model-driven interaction and tool use; a workflow connects agents and ordinary functions through controlled paths. Microsoft describes it as the successor…
Semantic Kernel and AutoGen
Semantic Kernel is a Microsoft ecosystem for integrating models, plugins/functions, and agent capabilities into applications. AutoGen is known for multi-agent conversation and orchestration abstractions. Their historical APIs remain relevant in existing…
CrewAI and Google ADK
CrewAI organizes agent work around roles, tasks, and orchestration constructs such as flows. Google ADK is an agent development toolkit with agent and workflow-oriented components. Both provide reusable abstractions; neither makes a multi-agent design…
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