langchain-chains

Solid

LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns

AI & Automation 1,160 stars 71 forks Updated today MIT

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Skill Content

# LangChain Chains Skill ## Capabilities - Compose LangChain chains using LCEL (LangChain Expression Language) - Implement sequential chain patterns - Design router chains for conditional logic - Create parallel execution chains - Handle chain fallbacks and retries - Implement streaming chains ## Target Processes - dialogue-flow-design - chatbot-design-implementation ## Implementation Details ### Chain Patterns 1. **LCEL Pipelines**: Modern composition with | operator 2. **SequentialChain**: Linear chain execution (legacy) 3. **RouterChain**: Conditional routing based on input 4. **RunnableParallel**: Parallel execution branches 5. **RunnableBranch**: Conditional branching ### Configuration Options - Input/output key mapping - Error handling strategies - Retry configuration - Streaming settings - Batch processing options ### Best Practices - Use LCEL for new implementations - Implement proper input/output schemas - Add fallback chains for resilience - Use streaming for long operations ### Dependencies - langchain-core - langchain

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

Integrates with

LangChain · AI

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