feat(llm-application-dev): modernize to LangGraph and latest models v2.0.0

- Migrate from LangChain 0.x to LangChain 1.x/LangGraph patterns
- Update model references to Claude 4.5 and GPT-5.2
- Add Voyage AI as primary embedding recommendation
- Add structured outputs with Pydantic
- Replace deprecated initialize_agent() with StateGraph
- Fix security: use AST-based safe math instead of unsafe execution
- Add plugin.json and README.md for consistency
- Bump marketplace version to 1.3.3
This commit is contained in:
Seth Hobson
2026-01-19 15:43:25 -05:00
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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/Sonnet/Haiku 4.5 and GPT-5.2/GPT-5.2-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
```bash
claude --plugin-dir /path/to/llm-application-dev
```
Or copy to your project's `.claude-plugin/` directory.
## 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 4.5 and GPT-5.2
- 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.