LangGraph enables building stateful, multi-step agent workflows with cycles and persistence. Integrate ContextGate to create powerful data agents that can query, analyze, and process business data across multiple steps.
This guide shows you how to build LangGraph workflows that leverage ContextGate for accessing Salesforce, QuickBooks, HubSpot, and other business data with state management and conditional routing.
📋 Prerequisites
- Python 3.9 or later
- LangGraph and LangChain installed
- ContextGate account with connected apps
- OpenAI API key (or other LLM provider)
Get Your ContextGate Bearer Token
Navigate to the Install page in your ContextGate workspace. Click "View API Token" and copy your bearer token for authentication.
💡 Your token can be found on the Install page .
Keep your bearer token secure! Never commit it to version control.
Configure Your Toolbox (Optional)
On the Install page, you can customize which tools, connections, and datasets are available through ContextGate. This allows you to:
- Limit access to specific connections (e.g., only Salesforce, not QuickBooks)
- Enable only certain tools or operations
- Control which datasets are accessible
Toolbox Manager Interface:
Install Dependencies
Install LangGraph and required packages:
Create ContextGate Node Functions
Define node functions that query ContextGate:
Build Stateful Graph Workflow
Create a LangGraph workflow with multiple nodes:
Execute Workflow
Run the graph with initial state:
Advanced: Multi-Source Data Pipeline
Build a workflow that queries multiple data sources and combines results:
💡 LangGraph + ContextGate Use Cases
Multi-Step Analysis
Query data → Analyze → Generate insights → Create report
Data Enrichment
Fetch contacts → Lookup company data → Update CRM records
Automated Reporting
Daily sales check → Compare to targets → Send alerts
Data Synchronization
Query source → Transform → Validate → Update destination
🔧 Troubleshooting
Graph Execution Stuck
- Check conditional edges are properly defined
- Ensure all nodes return valid state updates
- Verify there's no infinite loop in your graph structure
State Not Persisting
- Verify TypedDict definitions match your state structure
- Ensure you're returning state updates from nodes
- Check memory/checkpointer configuration if using persistence
ContextGate API Errors
- Validate bearer token is correctly set in environment
- Check connection and dataset names are correct
- Add error handling to nodes for graceful failures
🚀 Next Steps
- Add Persistence: Use checkpointers to save and resume workflow state
- Human-in-the-Loop: Add approval nodes for critical business decisions
- Complex Routing: Build dynamic workflows with conditional branches