Openclaw Skill Langchain Local

# LangChain Local — Offline AI Chains with Ollama

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Install skill "Openclaw Skill Langchain Local" with this command: npx skills add manojrammurthy/openclaw-skill-langchain-local

LangChain Local — Offline AI Chains with Ollama

Run LangChain pipelines locally using Ollama and phi4-mini (or any local model). No API keys, no cloud, fully private and offline.

Requirements

  • Ollama installed and running (ollama serve)
  • phi4-mini pulled (ollama pull phi4-mini)
  • Python packages: pip install langchain langchain-ollama langchain-community

Modes

  • coding — Python/Django code generation (low temperature, precise)
  • devops — Linux/Nginx/Docker shell commands
  • chat — General conversation
  • rag — Document-grounded answers (context-aware)

Usage Examples

  • "Ask langchain-local to write a Django REST API view"
  • "Use langchain-local in devops mode to show how to check disk usage"
  • "Run langchain-local chat mode: explain what is RAG"
  • "Use langchain-local coding mode to write a PostgreSQL backup script"

Implementation

Execute: python3 ~/.openclaw/skills/langchain-local/main.py

Parameters

  • mode: coding | devops | chat | rag (default: coding)
  • query: Your question or instruction

Author

Manoj — https://github.com/manoj

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