This guide applies to FastGPT v4.17.0.
What data for this category looks like
This category’s data primarily comes from object storage, data warehouses, annotation platforms, and customer acceptance feedback. Teams update data once per delivery batch or version. Daily supporting documents include dataset descriptions, version records, delivery checklists, and acceptance reports. Data fields typically include version numbers, sample difference descriptions, and delivery completeness identifiers. There are no uniform mandatory units; adjust based on the delivery target. Service stakeholders include data project managers, data engineers, and customer algorithm teams, with core focus on delivery package traceability and version consistency.
What constraints these characteristics impose on workflow orchestration
Scattered data sources and fixed update frequencies for this category require workflows to support node access from multiple storage sources, ensuring accurate data reading. Supporting documents are numerous and require updates alongside versions, so workflows must associate metadata for corresponding documents to avoid misalignment between versions and documents. Fields must match customized delivery scenario requirements, so workflows must include configurable field validation rules to adapt to different customers’ acceptance standards. Delivery completeness verification is the most time-consuming step, so workflows must include automated validation steps to reduce manual intervention costs.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
variables | Includes version number, delivery package path, acceptance status field | Matches core metadata fields for dataset delivery |
nodeId | Binds unique identifiers for object storage and data warehouse nodes | Ensures precise association of data sources |
| Trigger Condition | Triggered by delivery batch completion events, interval no more than 24 hours | Matches update frequency per batch/version |
| Retry Count | 3 times, 60 second interval | Addresses temporary storage connection failures |
| Associated Document Scope | Includes dataset descriptions, version records, delivery checklists, acceptance reports | Covers daily documents required for the category |
| Version Validation Rule | Matches semantic version number format, such as vX.Y.Z | Ensures standardized version number management |
Three common configuration mistakes
- A boolean flag configured in
variablesfor the workflow shows as true, but the associated judgment node outputs false. This occurs because the flag value written invariablesdoes not match the validation rules preset by the judgment node, such as incorrect format or misspelled field name. - The workflow tool call module cannot output referenced content after connecting to a knowledge base. This occurs because the dataset ID parameter associated with the knowledge base is not configured in
variables, preventing the node from reading the target dataset’s content. - Third-party libraries imported by the code execution module fail to load properly. This occurs because the library is not installed in the global Python environment of the FastGPT container; installation must be completed via container configuration or a pre-workflow step.
How to confirm correct configuration
- Manually trigger the workflow, check if the metadata configured in
variablesis correctly loaded to the corresponding nodes. - Simulate a delivery batch completion event, confirm whether the workflow starts automatically at the preset interval.
- Run the version validation node, input a version number that does not match the format, confirm the node returns a validation failure result.
- Call the code execution module, import a preset third-party library, confirm the module runs without errors and executes normally.
The values provided are common starting points and should be measured 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 2026-10-19.