What data for this category looks like
Reference only; verify against the target FastGPT release and deployment documentation.
What constraints do these characteristics impose on the "workflow orchestration" link
Multi-source data access requires splitting the workflow into separate data source nodes to avoid cross-system data confusion. The daily update frequency requires configuring scheduled synchronization nodes to ensure the latest publicly available data is retrieved for inquiries. Differences across document types require dedicated processing branches for each document type. For example, validation logic differs between winning bid announcements and response to inquiries. Strict regulatory requirements mean the workflow must add compliance validation steps to prevent disclosure of non-public information or triggering regulatory penalties. The high-stakes nature of process errors also requires configuring exception alerts and manual intervention nodes to enable timely intervention when a failure occurs.
How to set the configuration
| Configuration Item | Recommended Setup | Basis for This Setup |
|---|---|---|
| Data source nodes | Create separate nodes for China Government Procurement Network and fiscal integration system | Matches the split processing needs of multi-source data to avoid cross-data contamination |
| Variable configuration | Bind procurement project number, supplier credit code fields to variables | Adapts to fixed field validation and data retrieval logic for procurement documents |
| Trigger mode | Dual mode: scheduled daily trigger (00:00 daily) + manual trigger | Covers both daily data synchronization and temporary inquiry scenarios |
| Request timeout threshold | 300 seconds | Matches the average response time of government procurement public APIs to avoid process interruption due to timeout |
| Exception handling node | Bind timeout alert and manual intervention nodes to nodeId | Corresponds to the high compliance requirements of government procurement processes to ensure timely intervention when errors occur |
| Reply content length limit | Within 1000 characters | Adapts to government affair inquiry reply display specifications to avoid content exceeding display limits |
Three common mistakes
- Phenomenon: After calling a government procurement HTTP interface during workflow orchestration, the conversation output does not display the winning bid announcement content returned by the interface. Cause: The output result of the HTTP node was not bound to the
variableslist of the conversation output node, so the output node cannot obtain the data returned by the interface. - Phenomenon: Custom tool variables are not associated with procurement document fields, so corresponding procurement plans or winning bid announcement data cannot be retrieved during inquiries. Cause: Key fields such as procurement project number and supplier unified social credit code were not bound in the
variablesconfiguration, resulting in data matching failure. - Phenomenon: A timeout error is triggered during workflow execution, and the preset alert node is not triggered. Cause: The
nodeIdof the exception handling node was not bound to the timeout trigger logic, so no corresponding intervention measures are available after a timeout.
How to confirm the configuration is complete
- Manually trigger the workflow, enter a specified procurement project number, and check if corresponding public data such as procurement requirements and winning bid announcements are successfully retrieved.
- View the scheduled task log to confirm that the daily 00:00 automatic synchronization task for government procurement network data has a successful execution status.
- Simulate an interface timeout scenario, and check if the preset alert and manual intervention nodes are triggered and the process jumps normally.
- Verify that the output content only includes information publicly available on the China Government Procurement Network, and no undisclosed procurement plans or bid evaluation report content appears.
The values provided are common starting points and should be evaluated against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.