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LLM Application Development Plugin for Claude Code

Build production-ready LLM applications, advanced RAG systems, and intelligent agents with modern AI patterns.

Version 2.0.0 Highlights

  • **LangGraph Integration**: Updated from deprecated LangChain patterns to LangGraph StateGraph workflows
  • **Modern Model Support**: Claude Opus 4.7/Sonnet 4.6/Haiku 4.5 and GPT-5.4/GPT-5-mini
  • **Voyage AI Embeddings**: Recommended embedding models for Claude applications
  • **Structured Outputs**: Pydantic-based structured output patterns

Features

Core Capabilities

  • **RAG Systems**: Production retrieval-augmented generation with hybrid search
  • **Vector Search**: Pinecone, Qdrant, Weaviate, Milvus, pgvector optimization
  • **Agent Architectures**: LangGraph-based agents with memory and tool use
  • **Prompt Engineering**: Advanced prompting techniques with model-specific optimization

Key Technologies

  • LangChain 1.x / LangGraph for agent workflows
  • Voyage AI, OpenAI, and open-source embedding models
  • HNSW, IVF, and Product Quantization index strategies
  • Async patterns with checkpointers for durable execution

Agents

| Agent | Description | | -------------------------- | -------------------------------------------------------------------------- | | `ai-engineer` | Production-grade LLM applications, RAG systems, and agent architectures | | `prompt-engineer` | Advanced prompting techniques, constitutional AI, and model optimization | | `vector-database-engineer` | Vector search implementation, embedding strategies, and semantic retrieval |

Skills

| Skill | Description | | ------------------------------ | ----------------------------------------------------------- | | `langchain-architecture` | LangGraph StateGraph patterns, memory, and tool integration | | `rag-implementation` | RAG systems with hybrid search and reranking | | `llm-evaluation` | Evaluation frameworks for LLM applications | | `prompt-engineering-patterns` | Chain-of-thought, few-shot, and structured outputs | | `embedding-strategies` | Embedding model selection and optimization | | `similarity-search-patterns` | Vector similarity search implementation | | `vector-index-tuning` | HNSW, IVF, and quantization optimization | | `hybrid-search-implementation` | Vector + keyword search fusion |

Commands

| Command | Description | | -------------------------------------- | ------------------------------- | | `/llm-application-dev:langchain-agent` | Create LangGraph-based agent | | `/llm-application-dev:ai-assistant` | Build AI assistant application | | `/llm-application-dev:prompt-optimize` | Optimize prompts for production |

Installation

/plugin install llm-application-dev

Requirements

  • LangChain >= 1.2.0
  • LangGraph >= 0.3.0
  • Python 3.11+

Changelog

2.0.0 (January 2026)

  • **Breaking**: Migrated from LangChain 0.x to LangChain 1.x/LangGraph
  • **Breaking**: Updated model references to Claude 4.6 and GPT-5.4
  • Added Voyage AI as primary embedding recommendation for Claude apps
  • Added LangGraph StateGraph patterns replacing deprecated `initialize_agent()`
  • Added structured outputs with Pydantic
  • Added async patterns with checkpointers
  • Fixed security issue: replaced unsafe code execution with AST-based safe math evaluation
  • Updated hybrid search with modern Pinecone client API

1.2.2

  • Minor bug fixes and documentation updates

License

MIT License - See the plugin configuration for details.