What Data for This Category Looks Like
Data for this category primarily comes from customer service systems, community forums, app store reviews, and game logs. Daily produced documents include player tickets, compensation requests, public opinion daily reports, and standardized response scripts. Data update rhythms are mostly daily updates or real-time synchronization. Document fields typically include player account identifiers, feedback types, original content, occurrence times, and processing statuses. Some tickets include attachments of in-game behavior logs.
Constraints Imposed on Forms and Interactions
Real-time multi-channel data access requires subsequent nodes to unify the format of feedback fields collected by the formInput node to avoid data misalignment. Large-volume player feedback documents and multi-turn conversation requirements require external parsing components to support segmented parsing and context retention configuration. Sensitive content in player feedback and keyword blocking requirements require the interaction link to configure keyword verification rules via external systems. The need to reuse standardized response scripts can call an external standardized script library (requires the external system to provide script data sources) to reduce manual input errors. Additionally, the high-frequency need for player account verification requires external business systems to implement account information verification logic.
How to Configure Settings
The following configurations are formulated based on FastGPT v4.17.0.
| Configuration Item | Recommended Practice | Rationale |
|---|---|---|
Form Input Node formInput | Test example: Select 3 fields from player customer service and public opinion processing fields as required inputs; actual fields are determined per task | This node collects user input; missing required items require checking 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 records related to player customer service and public opinion processing must be implemented by subsequent interfaces or external systems |
| Field Passing After Submission | Test example: Prepare 10 player customer service and public opinion processing input samples, covering complete filling, missing required items, and canceled operations | Compare input and node output to verify whether subsequent nodes receive corresponding fields; result thresholds are determined per actual task |
| External Implementation Item: Keyword Verification Rules | Must be implemented separately by external systems; configure matching rules according to public opinion control requirements, and blocking logic must be implemented by external systems | Prevent sensitive content from entering the public opinion processing workflow |
| External Implementation Item: Single Parsing Limit | Must be implemented separately by external systems; set according to business data scale, recommended initial test value is 1000 pieces of data | Adapt to segmented processing needs for large-volume Excel data, and requires cooperation with external parsing components |
| External Implementation Item: Context Retention Length | Must be implemented separately by external systems; set according to business data scale, recommended initial test value is 800–1200 characters | Match the typical length of player feedback, and requires cooperation with external parsing components to avoid context overflow |
Three Common Misconfigurations
- Phenomenon: Output content includes the phrase "Citation Marker: [1]". Cause: The citation marker filtering logic is not configured in subsequent nodes, causing source document markers retrieved from the knowledge base to be directly included in the reply.
- Phenomenon: Incomplete command prompts are returned when parsing large-volume table documents. Cause: A reasonable single data volume upper limit is not set in the external parsing link, causing the single batch data volume to exceed the processing threshold.
- Phenomenon: Custom interface replies are not triggered after the user inputs specified keywords. Cause: The keyword verification rule is not bound to the external custom interface call; only the blocking action is configured without subsequent trigger logic.
How to Verify Successful Configuration
- Upload a single large-volume text or table document, check whether the external parsing component completes segmented parsing and multi-turn conversation connection, and the threshold can be calibrated according to the business data scale.
- Input preset sensitive keywords, check whether the external verification component triggers interception verification and pops up corresponding prompts, and the rules can be configured according to public opinion control requirements.
- Call a preset script template, check whether subsequent business nodes can call the external standardized script library to insert content, and the script library must be updated according to customer service needs.
- Trigger the large model reply process, check whether the output content includes knowledge base citation markers, and the citation marker filtering logic can be adjusted according to output specifications.
The values provided are common starting points and should be evaluated 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.