This document applies to FastGPT v4.17.0.
What the data for this category looks like
The data sources for this category are content review backends, user reporting channels, public regulations and policies, and annotation sample libraries. Documents regularly maintained include review rules, disposal guidelines, appeal records, and quality inspection reports. Document fields include rule clauses, sample tags, disposal thresholds, appeal status, disposal results, and other related items. Data updates occur via daily synchronization or when policy changes trigger updates. The update rhythm is adjusted based on business priorities, with no additional requirements outside fixed statistical cycles.
What constraints these characteristics impose on the "workflow orchestration" link
Dispersed data sources require workflows to support multi-source data pulling, and cross-data source variable pulling rules must be configured. Unfixed update frequencies require workflows to support on-demand triggering or policy change-triggered triggering, avoiding reliance on fixed-cycle synchronization logic. Complex document fields require workflows to support custom field mapping to adapt to the structures of different types of review documents. The rule explanation and appeal review links take a long time, requiring workflows to support split nodes and manual intervention, while retaining complete process logs for traceability. Severe consequences of errors require workflows to configure failure retry and alert mechanisms to prevent the spread of non-compliant content or harm to creators.
Configuration Settings
| Configuration Item | Recommended Practice | Rationale |
|---|---|---|
variables | Bind core fields of review rules, appeal records, and quality inspection reports | Adapt to the multi-source document data structure of this category |
| Trigger Method | On-demand triggering or policy change triggering (calibrated via actual testing) | Adapt to the business characteristic of unfixed data update frequency |
nodeId | Assign unique identifiers to rule explanation and appeal review nodes | Facilitate process log traceability and node status tracking |
| Failure Retry | Retry 2 times, with a 60-second interval | Address unstable risks of multi-source data pulling |
| Log Retention | Retain full process logs for 180 days | Meet compliance traceability and problem troubleshooting needs |
| Manual Node Configuration | Allow inserting manual approval in rule explanation and appeal review links | Adapt to time-consuming and manual judgment business links of this category |
Three Common Misconfigurations
- Phenomenon: A specific workflow terminates after executing to the knowledge base search or AI chat node, with the workflow status showing failure or no return results. This situation only occurs for specific questions under the same configuration. Cause: The review sample fields or historical conversation data returned by the third-party API are not bound via
variables, and the parameters required by the node are empty, triggering workflow interruption. - Phenomenon: When attempting to pass historical appeal records as a variable into a code node, no corresponding option appears, and parameter passing cannot be completed. Cause: The historical record binding switch is not enabled in the
variablesconfiguration, causing this type of data to not be included in the global variable pool. - Phenomenon: After the workflow starts, it does not automatically call the third-party API to obtain review rule data, and parameter preparation for subsequent nodes cannot be completed. Cause: No third-party API call step is added in the trigger node configuration, or the fields returned by the API are not bound via
variables.
How to Confirm Proper Configuration
- Trigger the workflow and check whether the fields loaded by each node match the configured
variablesbinding items. - Simulate a multi-source data pulling scenario to verify whether the node can correctly obtain corresponding data from the review backend and user reports.
- Trigger a workflow interruption test to confirm that the failure retry and log recording functions are properly enabled.
- Connect cross-node data links to verify that output data can be normally passed between different nodes.
The values provided here 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.