Configure LangChain CI/CD integration with GitHub Actions and testing. Use when setting up automated testing, configuring CI pipelines, or integrating LangChain tests into your build process. Trigger with phrases like "langchain CI", "langchain GitHub Actions", "langchain automated tests", "CI langchain", "langchain pipeline".
Diagnose and fix common LangChain errors and exceptions. Use when encountering LangChain errors, debugging failures, or troubleshooting integration issues. Trigger with phrases like "langchain error", "langchain exception", "debug langchain", "langchain not working", "langchain troubleshoot".
Build LangChain chains and prompts for structured LLM workflows. Use when creating prompt templates, building LCEL chains, or implementing sequential processing pipelines. Trigger with phrases like "langchain chains", "langchain prompts", "LCEL workflow", "langchain pipeline", "prompt template".
Build LangChain agents with tools for autonomous task execution. Use when creating AI agents, implementing tool calling, or building autonomous workflows with decision-making. Trigger with phrases like "langchain agents", "langchain tools", "tool calling", "langchain autonomous", "create agent", "function calling".
Optimize LangChain API costs and token usage. Use when reducing LLM API expenses, implementing cost controls, or optimizing token consumption in production. Trigger with phrases like "langchain cost", "langchain tokens", "reduce langchain cost", "langchain billing", "langchain budget".
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Build production agent workflows with empirical verification - Complete teaching system with guides, diagrams, and working examples.
→ Start Here: 5-Minute Introduction | → Visual Architecture Map | → System Summary
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Guides (90+ pages) |
Reference Implementation |
What you'll learn: Turn "LLM analyzed my code" into "LLM + script verified with evidence" - The pattern for production-ready agent systems.
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