christian-bromann
- 24 skills
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- 1 week ago last updated
- ▌ Langchain Human In The Loop · christian-bromannAdd human oversight to LangChain agents using HITL middleware - includes interrupts, approval workflows, edit/reject decisions, and checkpoints
- ▌ Langchain Structured Output · christian-bromannGet structured, validated output from LangChain agents and models using Zod schemas, type-safe responses, and automatic validation
- ▌ Langchain Embeddings · christian-bromannGuide to using embedding model integrations in LangChain including OpenAI, Azure, and local embeddings
- ▌ Langchain Chat Models · christian-bromannGuide to using chat model integrations in LangChain including OpenAI, Anthropic, Google, Azure, and Bedrock
- ▌ Langchain Vector Stores · christian-bromannGuide to using vector store integrations in LangChain including Chroma, Pinecone, FAISS, and memory vector stores
- ▌ Langchain Text Splitters · christian-bromannGuide to using text splitter integrations in LangChain including recursive, character, and semantic splitters
- ▌ Langchain Document Loaders · christian-bromannGuide to using document loader integrations in LangChain for PDFs, web pages, text files, and APIs
- ▌ Langchain RAG · christian-bromannBuild Retrieval Augmented Generation (RAG) systems with LangChain - includes embeddings, vector stores, retrievers, document loaders, and text splitting
- ▌ Deepagents CLI · christian-bromannUsing the Deep Agents CLI - terminal interface, persistent memory with AGENTS.md, project conventions, skills directories, and CLI commands.
- ▌ Deepagents Hitl · christian-bromannImplementing human-in-the-loop approval workflows with interruptOn parameter for sensitive tool operations in Deep Agents.
- ▌ Langchain Tools · christian-bromannDefine and use tools in LangChain - includes tool decorator, custom tools, built-in tools, and tool schemas
- ▌ Langchain Agents · christian-bromannCreate and use LangChain agents with createAgent - includes agent loops, ReAct pattern, tool execution, and state management
- ▌ Langchain Models · christian-bromannInitialize and use LangChain chat models - includes provider selection (OpenAI, Anthropic, Google), model configuration, and invocation patterns
- ▌ Deepagents Memory · christian-bromannImplementing long-term memory in Deep Agents with cross-session storage using StoreBackend, CompositeBackend, and InMemoryStore for persistent data.
- ▌ Deepagents Skills · christian-bromannCreating and using custom skills with progressive disclosure, SKILL.md format, and the Agent Skills protocol in Deep Agents.
- ▌ Deepagents Overview · christian-bromannUnderstanding Deep Agents framework - what they are, how to create them with createDeepAgent, and the agent harness architecture with built-in middleware for planning, filesystems, and subagents.
- ▌ Deepagents Todolist · christian-bromannUsing TodoListMiddleware for task planning and tracking progress with the write_todos tool in Deep Agents for complex multi-step workflows.
- ▌ Langchain Streaming · christian-bromannStream outputs from LangChain agents and models - includes stream modes, token streaming, progress updates, and real-time feedback
- ▌ Langgraph Graph API · christian-bromannBuilding graphs with StateGraph, nodes, edges, START/END nodes, and the Command API for combining control flow with state updates
- ▌ Langgraph Workflows · christian-bromannUnderstanding workflows vs agents, predetermined vs dynamic patterns, and orchestrator-worker patterns using the Send API
- ▌ Deepagents Subagents · christian-bromannUsing SubAgentMiddleware to spawn subagents for task delegation, context isolation, and specialized work in Deep Agents.
- ▌ Langchain Multimodal · christian-bromannWork with multimodal inputs/outputs in LangChain - includes images, audio, video, content blocks, and vision capabilities
- ▌ Deepagents Filesystem · christian-bromannUsing FilesystemMiddleware with virtual filesystems, backends (State, Store, Filesystem, Composite), and context management for Deep Agents.
- ▌ Langchain Tool Calling · christian-bromannHow chat models call tools - includes bindTools, tool choice strategies, parallel tool calling, and tool message handling