Drafting Requirements and Design Documents for Content Moderation Rule Operations: Forms and Interactions

This category’s data primarily originates from content moderation backends, user reporting channels, public regulatory policy documents, and

What data this category includes

This category’s data primarily originates from content moderation backends, user reporting channels, public regulatory policy documents, and annotation sample libraries. Daily produced documents include moderation rules, disposal guidelines, appeal records, and quality inspection reports. Fields cover rule entries, trigger thresholds, disposal workflows, sample tags, and more. There are no unified fixed units, and some fields must be adjusted to match policy requirements. Data updates occur either on a daily schedule or when triggered by regulatory policy changes. Core rule documents must be synchronized to the operation pipeline after adjustments made to comply with regulatory requirements.

What constraints these characteristics impose on forms and interactions

Data sources for this category are dispersed, and update rhythms are inconsistent. This requires the forms and interactions link to support multi-source field mapping and incremental update entry points. Daily documents must be adjusted to match regulatory requirements. The formInput node only collects input information. Required field validation and cross-field logical validation must be implemented by external business systems or subsequent workflow branches to prevent errors in rule threshold settings. Rule explanation and sample judgment take extended time. The form can work with the auxiliary prompt module of the external business system to associate existing external moderation rule library and sample library entries. The scope of impact of operational errors is wide. Operation logs and version rollback functions must be implemented by external business systems or subsequent workflow nodes. The FastGPT node only transmits configuration information to support abnormal configuration rollback.

How to Configure Settings

This configuration applies to FastGPT v4.17.0.

Configuration ItemRecommended ApproachRationale
Form Input Node formInputTest example: Select 3 fields from content moderation rule operation fields as required inputs. Actual fields are determined per taskThis node collects user input. Missing required fields requires checking interaction status to avoid subsequent nodes failing to receive complete input
User Selection Node userSelectTest example: Set 2 business options, check corresponding branches one by oneThis node handles user selection. Querying and filtering content moderation rule operation related records must be implemented by subsequent interfaces or external systems
Post-Submission Field PassingTest example: Prepare 10 content moderation rule operation input samples, covering complete filling, missing required fields, and canceled operationsCompare input and node output to verify whether subsequent nodes receive corresponding fields. Result thresholds are determined per actual task
External Implementation Item: Version Control ConfigurationMust be implemented separately by external systems; implemented by external business systems or subsequent workflow nodesRule updates occur frequently, so historical configuration versions must be retained for rollback
External Implementation Item: Field Validation RulesMust be implemented separately by external systems; implemented by external business systems or subsequent workflow nodes. Recommended value range is 0-100 (percentage). Trigger conditions must be calibrated via actual testing combined with business scenariosThis value range is a test example. Trigger conditions must be calibrated via actual testing combined with business scenarios
External Implementation Item: Bulk Import EntryMust be implemented separately by external systems; implemented by external business systems or subsequent workflow nodes for CSV format uploads. Fields must match moderation rules, trigger conditions, and disposal workflowsThis function is implemented by external business systems, which can improve configuration efficiency for daily bulk rule updates

Three Common Misconfigurations

  • Phenomenon: Attempting to connect the formInput node to other branch links fails to jump, and the interface prompts "Node link mismatch". Verification action: Check whether the output fields of the formInput node and the receiving fields of the target branch node have completed mapping.
  • Phenomenon: After attempting to configure custom interaction guidance for the userSelect node and associating an external thesaurus address, the debug preview interface pops up an error "Thesaurus loading failed". Verification action: Check whether the file format of the custom thesaurus meets the requirements of the associated system, and whether the address has been configured with public access permissions.
  • After a content moderation rule operation related form is submitted, subsequent nodes do not receive complete fields. Check required fields, actual submitted content, and node output mappings one by one, then check subsequent interface returns. Existing symptoms cannot independently determine the root cause.

How to Confirm Proper Configuration

  • Submit a test moderation rule configuration, check whether the verification logic of the external business system or subsequent workflow nodes intercepts invalid field values.
  • Switch different operation role accounts, verify that the associated external role permission configuration takes effect, and only allow corresponding roles to edit specified rule types.
  • Upload a test CSV file, confirm that the bulk import function of the external business system or subsequent workflow nodes can correctly map fields and generate corresponding configuration entries.
  • View the operation log module of the external business system or subsequent workflow nodes, confirm that the most recent configuration operations have been fully recorded and can be rolled back to the corresponding time node.

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.