Building Dynamic Workflows with LangGraph and LLM Agents Training Course

LangGraph and Agent Patterns: A Practical Primer for Government

• Comparing Graphs to Linear Chains: When and Why for Government Operations
• Agents, Tools, and Planner-Executor Loops in Public Sector Applications
• Hello Workflow: A Minimal Agentic Graph for Government Use

State, Memory, and Context Passing for Government Systems

• Designing Graph State and Node Interfaces for Government Operations
• Short-Term Memory vs. Persisted Memory in Government Applications
• Context Windows, Summarization, and Rehydration for Government Workflows

Branching Logic and Control Flow for Government Processes

• Conditional Routing and Multi-Path Decisions in Government Systems
• Retries, Timeouts, and Circuit Breakers for Robust Government Operations
• Fallbacks, Dead-Ends, and Recovery Nodes in Government Workflows

Tool Use and External Integrations for Government Applications

• Function/Tool Calling from Nodes and Agents in Government Systems
• Consuming REST APIs and Databases from the Graph for Government Operations
• Structured Output Parsing and Validation for Government Workflows

Retrieval-Augmented Agent Workflows for Government

• Document Ingestion and Chunking Strategies for Government Data
• Embeddings and Vector Stores with ChromaDB for Government Use
• Grounded Responses with Citations and Safeguards for Government Applications

Evaluation, Debugging, and Observability for Government Systems

• Tracing Paths and Inspecting Node Interactions in Government Workflows
• Golden Sets, Evaluations, and Regression Tests for Government Operations
• Quality, Safety, and Cost/Latency Monitoring for Government Applications

Packaging and Delivery for Government Use

• FastAPI Serving and Dependency Management for Government Systems
• Versioning Graphs and Rollback Strategies in Government Operations
• Operational Playbooks and Incident Response for Government Workflows

Summary and Next Steps for Government Applications