This content is adapted for FastGPT v4.17.0.
What the data for this category looks like
This data primarily comes from risk control systems, audit records, user behavior logs, and report evidence. The update frequency is daily or real-time. Daily associated documents include account ban records, user appeal materials, manual review opinions, and violation notifications. Common data fields include account unique identifier, violation trigger type, appeal submission time, evidence material association ID, review judgment result, and disposal level. Only structured fields are used to record workflow node information, with no additional statistical units.
What constraints these characteristics impose on the forms and interactions link
The data comes from multiple sources with flexible update rhythms. Workflows must use external APIs to associate account status data from risk control and audit systems, to avoid using outdated information. Daily documents include multiple types of workflow node materials. Workflows must support evidence material uploads and automatic binding of fields to appeal records. This binding must be implemented separately by external business systems. The process involves manual review, so mandatory review judgment fields must be fixed, and an operation audit trail entry must be retained. Data errors can cause serious consequences such as incorrect bans and account restoration. The interaction link must add a secondary confirmation step to prevent workflow deviations caused by misoperations.
How to configure settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Form input node formInput | Test example: Select 3 fields from account ban and appeal review fields as mandatory inputs; actual fields are determined by the task | This node collects user input; when mandatory items are missing, check the interaction status to avoid subsequent nodes failing to receive complete input |
User selection node userSelect | Test example: Set 2 business options, check corresponding branches one by one | This node handles user selection; querying and filtering account ban and appeal review related records must be implemented by subsequent APIs or external systems |
| Field passing after submission | Test example: Prepare 10 account ban and appeal review input samples, covering complete filling, missing mandatory items, and canceled operations | Compare input and node output to verify whether subsequent nodes receive corresponding fields; result thresholds are determined by actual tasks |
| External implementation item: Form submission timeout test threshold (example) | Must be implemented separately by external systems; 60 seconds | Test setup for multi-source data loading scenarios |
| External implementation item: Evidence material upload quantity limit (example) | Must be implemented separately by external systems; maximum 3 copies | Test setup for controlling audit workflow processing complexity |
| External implementation item: Operation audit trail configuration | Must be implemented separately by external systems; processed by external systems or subsequent nodes | Retain full process records of form filling and submission, facilitating subsequent review and issue tracing |
Three common mistakes
- Phenomenon: A connection error prompt appears after submitting an appeal form, and recovery fails even after enabling a proxy. Verification action: Check the response duration of the external data association API, confirm whether it exceeds the preset test threshold.
- Phenomenon: After configuring multiple same-model channels, priority selection is not triggered as expected. Verification action: Check whether workflow channel priority linkage verification logic is configured; this logic must be implemented separately by external business systems.
- Phenomenon: No corresponding text content is generated after voice input submission. Verification action: Check whether the speech-to-text function is associated with the specified speech model; this function must be implemented separately by external systems, and verify whether calling parameters meet the requirements of the category audit process.
How to confirm proper configuration
- Manually enter a test account ID, verify whether the workflow loads corresponding ban records and appeal history data through external APIs.
- Upload a single piece of evidence material, confirm that the form supports upload operations; binding of evidence materials to appeal entries must be implemented separately by external business systems.
- Trigger a form submission operation, check whether data verification and submission are completed within the test threshold, with no timeout errors.
- Submit a test form, confirm that operation records are passed to external systems or subsequent nodes; full operation logs must be generated by external systems or subsequent nodes.
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.