1,210 tools found
Semantic Kernel Functions demonstrates defining and invoking native functions, prompt functions, and plugins with kernel arguments for extensible AI assistants.
7 Semantic Kernel samples for running local LLMs via Foundry Local, LM Studio, Ollama, and ONNX (including Phi-3 vision).
Semantic Kernel MCP integration includes eight Python example files demonstrating agent, plugin, and sampling patterns with Model Context Protocol.
Semantic Kernel memory and vector store integration examples demonstrating simple and complex memory patterns, data models, and Pandas integration for Python
Semantic Kernel Processes enables multi-step workflow orchestration with cycles, nested processes, and plan-and-execute patterns for complex AI task automation.
Python samples for real-time streaming interactions over WebSocket and WebRTC with function calling support.
Semantic Kernel reasoning samples demonstrate chain-of-thought and structured reasoning with LLMs through three Python examples covering simple reasoning
Semantic Kernel search integration skill enabling text and vector search through Brave, Google, Bing, and Azure AI Search for AI assistants.
Semantic Kernel skill that generates structured JSON outputs and typed responses from large language models using Python examples for function calling
Semantic Kernel token usage tracking provides token counting, usage tracking, and cost estimation for AI model interactions in Python applications.
A cookbook guide to building a GPT-5.1 coding agent with the Agents SDK that scaffolds, edits, and iterates on a codebase.
Cluster OpenAI embeddings with k-means, visualize them in 2D, and auto-name clusters with GPT-4.
