What the data for this category looks like
Reference only; verify against the target FastGPT release and deployment documentation.
What constraints these characteristics impose on workflow orchestration
The immediacy of real-time transaction data requires workflow nodes to support fast pulling of latest data, avoiding excessive delays that affect inquiry response. The scattered nature of multi-system data sources requires the workflow to be configured with cross-system data aggregation nodes, ensuring that consultation can retrieve transaction, inventory and member information simultaneously. The field unit binding characteristic requires the workflow to have built-in unit verification rules, preventing mixing of liters and kilograms, yuan and jiao. The fuel grade standardization requirement requires configuring a field mapping node in the workflow to convert colloquial expressions entered by users (such as "92 octane fuel") into system-recognizable standard grades.
How to set the configurations
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
| Global variable passing method | Encapsulate outlet ID and fuel grade via the variables parameter | Adapt to API call parameter specification, meet the needs of cross-outlet and cross-fuel inquiry data filtering |
| Session-level variable configuration | Bind the current session's user ID and fuel card number | Ensure accurate isolation of context data for multiple inquiries from the same user, match personalized needs of member inquiries |
| Node timeout period | 30-60 seconds | Adapt to the real-time data return speed of refined oil sales systems, avoid excessive waiting for user inquiries |
| Process node identifier | Configure nodeId as the unique node number | Ensure the uniqueness of node calls during workflow orchestration, avoid data confusion across nodes |
| Knowledge base access permissions | Divide permissions by gas station area | Match the outlet data isolation rules of refined oil sales, prevent sensitive data leakage across regions |
| Document chunk length | 800-1200 characters | Adapt to reading coherence of refined oil sales policies and refueling process documents, avoid content fragmentation that affects understanding |
Three common mistakes
- Phenomenon: "Missing required parameters" error is returned when calling API, or inquiry results are not associated with specified gas station inventory data. Cause: Global variables such as the current fueling outlet ID are not passed into the request body via the
variablesparameter, causing the workflow to fail to filter corresponding data. - Phenomenon: When consulting the same user's refueling records multiple times in a session, cross-user data confusion appears in the results. Cause: Session-level variable binding to the current user's fuel card number is not configured, resulting in no isolation processing for context data.
- Phenomenon: Status code 504 is returned when pulling daily inventory data, or node execution status shows timeout failure. Cause: The node timeout period is set to more than 60 seconds, which does not match the real-time data return speed of refined oil sales systems.
How to confirm the configuration is correct
- Execute a simulated API request. Check whether the request body includes the
variablesfield and corresponding global variable values, and confirm that parameter transfer is correct. - Execute two consecutive user inquiries. Review returned results to confirm they only associate the current user's fuel card information, and verify that session-level variable configuration takes effect.
- Trigger a workflow node. Review system logs to confirm data is collected per the set cycle, and that complete node execution data and return results are included.
- Test input of colloquial fuel grades (such as "92 octane fuel"). Confirm that the workflow's field mapping node converts the input into system-recognizable standard grades.
Note: The configuration values listed above are common starting points. They should be evaluated against specific deployment 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.