0.1.11

[0.1.11] - 2026-01-02

Added

LangGraph ReAct Agent Support

• LangGraph as third AI framework option alongside PydanticAI and LangChain
• New --ai-framework langgraph CLI option for project creation
• Interactive prompt includes "LangGraph (ReAct agent)" choice
• ReAct (Reasoning + Acting) agent pattern with graph-based architecture:
  • Agent node for LLM reasoning and tool decision
  • Tools node for executing tool calls
  • Conditional edges for tool execution loop
  • Memory-based checkpointing for conversation continuity
• Full WebSocket streaming support using astream() with dual modes:
  • messages mode for token-level LLM streaming
  • updates mode for node state changes (tool calls/results)
• Tool result correlation - proper tool_call_id matching between calls and results
• New template files:
  • app/agents/langgraph_assistant.py - LangGraphAssistant class with run() and stream()
  • WebSocket route implementation in app/api/routes/v1/agent.py
• New cookiecutter variable: use_langgraph
• Dependencies for LangGraph projects:
  • langchain-core>=0.3.0
  • langchain-openai>=0.3.0 or langchain-anthropic>=0.3.0
  • langgraph>=0.2.0
  • langgraph-checkpoint>=2.0.0

Changed

• AIFrameworkType enum extended with LANGGRAPH value
• AI framework prompt now shows three options: PydanticAI, LangChain, LangGraph
• LLM provider validation - OpenRouter not supported with LangGraph (same as LangChain)
• VARIABLES.md updated with use_langgraph documentation
• Template CLAUDE.md includes LangGraph in stack section