langchain-pack

Implement LangChain reference architecture for production systems: layered design, provider abstraction, chain registry, RAG pipelines, and multi-agent orchestration. Trigger: "langchain architecture", "langchain design patterns", "langchain scalable", "langchain enterprise", "LLM architecture".

Apply production-ready LangChain SDK patterns for structured output, fallbacks, batch processing, streaming, and caching. Trigger: "langchain SDK patterns", "langchain best practices", "idiomatic langchain", "langchain architecture", "withStructuredOutput", "withFallbacks", "abatch".

Apply LangChain security best practices for production LLM apps. Use when securing API keys, preventing prompt injection, sandboxing tool execution, or validating LLM outputs. Trigger: "langchain security", "prompt injection", "langchain secrets", "secure langchain", "LLM security", "safe tool execution".

Upgrade LangChain SDK versions safely with import path migration, LCEL conversion from legacy chains, and agent API updates. Trigger: "upgrade langchain", "langchain migration", "langchain breaking changes", "update langchain version", "langchain 0.3", "langchain deprecation".

Implement LangChain callback handlers, streaming, webhooks, Server-Sent Events (SSE), and WebSocket integration. Trigger: "langchain callbacks", "langchain webhooks", "langchain events", "langchain streaming", "langchain SSE", "WebSocket LLM".

Implement role-based access control for LangChain applications with multi-tenant isolation, model access control, and usage quotas. Trigger: "langchain RBAC", "langchain permissions", "langchain access control", "langchain multi-tenant", "enterprise LLM auth".

Create a minimal working LangChain example with LCEL chains. Use when starting a new LangChain integration, testing your setup, or learning LCEL pipe syntax with prompts and output parsers. Trigger: "langchain hello world", "langchain example", "langchain quick start", "simple langchain code", "first langchain app".

Incident response procedures for LangChain production issues: provider outages, high error rates, latency spikes, and cost overruns. Trigger: "langchain incident", "langchain outage", "langchain production issue", "langchain emergency", "langchain down", "LLM provider outage".

Install and configure LangChain SDK with provider authentication. Use when setting up a new LangChain project, configuring API keys for OpenAI/Anthropic/Google, or initializing @langchain/core in Node.js or Python. Trigger: "install langchain", "setup langchain", "langchain auth", "configure langchain API key", "langchain credentials".

Configure LangChain local development workflow with testing and mocks. Use when setting up dev environment, creating test fixtures with mocked LLMs, or establishing a rapid iteration workflow for LangChain apps. Trigger: "langchain dev setup", "langchain local development", "langchain testing", "langchain mock", "test langchain chains".

Migrate to LangChain from raw OpenAI SDK, LlamaIndex, or custom LLM code. Covers codebase assessment, side-by-side validation, RAG migration, agent migration, and feature-flagged gradual rollout. Trigger: "migrate to langchain", "langchain refactor", "legacy LLM migration", "replace openai SDK with langchain", "llamaindex to langchain".

Configure LangChain across dev/staging/production environments with isolated API keys, environment-specific settings, and secrets. Trigger: "langchain environments", "langchain staging", "langchain dev prod", "environment configuration", "langchain env setup".

Set up comprehensive observability for LangChain applications with LangSmith tracing, OpenTelemetry, Prometheus metrics, and alerts. Trigger: "langchain monitoring", "langchain metrics", "langchain observability", "langchain tracing", "LangSmith", "langchain alerts".

Optimize LangChain application performance: latency, throughput, streaming, caching, batch processing, and connection pooling. Trigger: "langchain performance", "langchain optimization", "langchain latency", "langchain slow", "speed up langchain".

Production readiness checklist for LangChain applications. Use when preparing for launch, validating deployment readiness, or auditing existing production LangChain systems. Trigger: "langchain production", "langchain prod ready", "deploy langchain", "langchain launch checklist", "go-live langchain".

Implement LangChain rate limiting, retry strategies, and backoff. Use when handling API rate limits, controlling request throughput, or implementing concurrency-safe batch processing. Trigger: "langchain rate limit", "langchain throttling", "langchain backoff", "langchain retry", "API quota", "429 error".

Configure CI/CD for LangChain with GitHub Actions, mocked unit tests, gated integration tests, and RAG pipeline validation. Trigger: "langchain CI", "langchain GitHub Actions", "langchain automated tests", "CI langchain", "langchain pipeline testing".

Diagnose and fix common LangChain errors and exceptions. Use when encountering LangChain import errors, auth failures, output parsing issues, agent loops, or version conflicts. Trigger: "langchain error", "langchain exception", "debug langchain", "langchain not working", "langchain troubleshoot".

Build LangChain LCEL chains with prompts, parsers, and composition. Use when creating prompt templates, building RunnableSequence pipelines, parallel/branching chains, or multi-step processing workflows. Trigger: "langchain chains", "langchain prompts", "LCEL workflow", "langchain pipeline", "prompt template", "RunnableSequence".

Build LangChain agents with tool calling for autonomous task execution. Use when creating AI agents, implementing tool/function calling, binding tools to models, or building autonomous multi-step workflows. Trigger: "langchain agents", "langchain tools", "tool calling", "create agent", "function calling", "createToolCallingAgent".

Optimize LangChain API costs with token tracking, model tiering, caching, prompt compression, and budget enforcement. Trigger: "langchain cost", "langchain tokens", "reduce langchain cost", "langchain billing", "langchain budget", "token optimization".

Implement LangChain RAG pipelines with document loaders, text splitters, embeddings, and vector stores (Chroma, Pinecone, FAISS). Trigger: "langchain RAG", "langchain documents", "langchain vector store", "langchain embeddings", "document loaders", "text splitters", "retrieval".

Collect LangChain debug evidence for troubleshooting and bug reports. Use when preparing GitHub issues, collecting LangSmith traces, or gathering diagnostic info for complex LangChain failures. Trigger: "langchain debug bundle", "langchain diagnostics", "langchain support info", "collect langchain logs", "langchain trace".

Deploy LangChain applications to production with LangServe, Docker, and cloud platforms (Cloud Run, AWS Lambda). Trigger: "deploy langchain", "langchain production deploy", "langchain docker", "langchain cloud run", "LangServe".