What Data Looks Like for This Category
Core daily documents for this category include four types: service request tickets, incident tickets, processing records, and user satisfaction surveys. Data sources include ITSM systems, phone or chat logs, asset systems, and enterprise knowledge bases. Data updates occur daily or in real time. Ticket status, processing progress, and other fields update immediately as the workflow progresses. Core fields include unique ticket identifier, problem description, classification tags, processing progress, associated asset number, and user feedback items. Classification tags use an enumeration type. Associated asset number uses a string format. User feedback items use graded identifiers.
What Constraints These Characteristics Impose on Forms and Interactions
Because data sources cover multiple systems and updates are real-time, use external interfaces to implement real-time field synchronization between forms and ITSM and asset systems. This prevents data inconsistency caused by manual entry. There are diverse daily document types, so use external systems to enable dynamic field group switching in forms. For example, service request tickets and incident tickets display different required fields. As a unified acceptance and assignment entry, implement permission control through the external business system. Only authorized personnel can modify ticket assignment status. Additionally, a large number of fields require external systems to implement form field group folding. This optimizes interaction experience and prevents page information overload.
Configuration Settings
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Form input node formInput | Test example: Select 3 fields from IT service desk ticket handling fields as required inputs. Use actual fields based on the task | This node collects user input. Check for missing required items and interaction status to prevent subsequent nodes from 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. Queries and filtering of records related to IT service desk ticket handling are implemented by subsequent interfaces or external systems |
| Field passing after submission | Test example: Prepare 10 IT service desk ticket handling input samples, covering complete filling, missing required items, and cancellation operations | Compare input and node output to verify whether subsequent nodes receive corresponding fields. Result thresholds are determined based on actual tasks |
| External implementation item: Single search limit | Must be implemented separately by the external system; first 3 entries | Ticket processing requires quick matching with the knowledge base. Too many results increase customer service judgment costs |
| External implementation item: Maximum context | Must be implemented separately by the external system; 800–1200 characters | Ticket content usually includes problem descriptions and historical processing records. This range covers complete context and adapts to model processing capabilities |
| External implementation item: Knowledge base matching rearrangement logic | Must be implemented separately by the external system; implemented by the external retrieval system or subsequent nodes to rearrange by matching priority | Knowledge base matching results are sorted by relevance to improve customer service search efficiency |
Three Common Mistakes
- Mistake symptom: Token validation failed error displayed during voice input in the chat interface. Verification step: Check whether the token verification parameter configuration of the speech-to-text interface is correct.
- Mistake symptom: 400 error occurs when selecting a tool in the workflow. Verification step: Check whether the ticket classification parameters submitted by the form match the preset enumeration value range.
- Mistake symptom: Concurrent execution occurs when selecting a tool. Verification step: Check whether the workflow is configured with mutually exclusive trigger rules, and confirm whether there are multiple tool call requests initiated simultaneously.
How to Confirm Proper Configuration
- Initiate a voice input test, check whether the transcribed content is displayed normally and there are no token verification related errors.
- Submit a ticket that does not match the preset classification, check whether custom input is allowed or submission is blocked as configured.
- Trigger the workflow tool selection process, check whether only one tool call is executed and no concurrent requests are generated.
- View the prompts returned by the external verification logic, confirm that corresponding feedback is received when input is abnormal, and there is no verification failure.
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.