LLM Application Dev

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 4.8/Sonnet 5/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.