Add-on: LangChain LLM

Use this skill when an existing project needs LangChain primitives for chat, retrieval, or summarization.

Compatibility

• Works with architect-python-uv-fastapi-sqlalchemy, architect-python-uv-batch, and architect-nextjs-bun-app.
• Can be combined with addon-rag-ingestion-pipeline.
• Can be combined with addon-langgraph-agent when graph orchestration is required.
• Can be combined with addon-llm-judge-evals; when used together, declare langchain in config/skill_manifest.json so the judge runner can resolve the backend without guessing.

Inputs

Collect:

• LLM_PROVIDER: openai | anthropic | ollama.
• DEFAULT_MODEL: provider model id.
• ENABLE_STREAMING: yes | no (default yes).
• USE_RAG: yes | no.
• MAX_INPUT_TOKENS: default 8000.