What data in this category looks like
This category of data typically comes from customer-submitted warranty work orders, system operation logs, contract warranty terms, and project version records. Daily produced documents include four types: warranty work orders, defect confirmation sheets, repair records, and customer confirmation sheets. Core fields include defect ID, responsible party, repair duration, customer feedback, and others. Data updates occur daily or per order, synced in real time alongside defect processing progress, with no fixed batch update cycle.
What constraints do these characteristics impose on forms and interactions?
The need to integrate multi-source data requires forms to support multi-field associated entry. Examples include a responsibility judgment field linked to contract terms, and a repair duration field linked to system logs. The high-frequency update feature requires forms to support real-time saving to prevent data loss. The structural differences between the four daily document types require forms to support quick template switching to reduce repeated configuration. The sensitivity of core fields requires forms to have permission verification configured to prevent unauthorized modification of key information such as the responsible party, to ensure data compliance.
How to set configurations
The following configurations are adapted for FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Form input node formInput | Test example: Select 3 fields from the warranty period defect response fields as required inputs; actual fields are determined based on the task | This node collects user input; missing required items must trigger interaction status checks 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 warranty period defect response must be implemented by subsequent interfaces or external systems |
| Field passing after submission | Test example: Prepare 10 warranty period defect response 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 based on actual tasks |
| External implementation item: Form template switching | Must be implemented separately by an external system; preset 4 templates (test example) by the external business system or subsequent nodes based on document type | Corresponds to the structural differences of the four daily document types such as warranty work orders and defect confirmation sheets |
| External implementation item: Auto-save trigger | Must be implemented separately by an external system; implemented by the external business system or subsequent nodes, initial test interval is recommended to be 60 seconds (to be verified via actual testing) | Adapts to high-frequency update business scenarios to avoid loss of edited data |
| External implementation item: Required field validation | Must be implemented separately by an external system; defect ID and responsible party are required items (test example) | Ensures core data integrity to support subsequent closed-loop processing workflows |
Three common misconfigurations
- Short specific text input triggers 400 error: When using the GPT-4o mini model, inputting "how about 350" returns a 400 status code; no exception occurs when switching to other models. Verification step: Check whether the external business system or subsequent nodes have input content verification rules configured.
- Mounted local LLM returns content unrelated to the knowledge base: When using Ollama to mount a model, generated content does not link to exclusive data such as warranty work orders and defect records. Verification step: Check whether the external business system or subsequent nodes have configured the association logic between the knowledge base and model calls.
- Voice input fails after deploying Whisper: After deploying FastGPT and Whisper via Docker, voice content cannot be converted to form input fields. Verification step: Check whether the synchronization configuration between the external speech-to-text service and the form input node is correct.
How to confirm the configuration is complete
- Fill in the defect description field, verify whether the external business system or subsequent nodes trigger compliance prompts when the input length exceeds the set threshold.
- Select the responsible party option, confirm that the preset three options of customer, R&D, and operations are fully loaded.
- Switch the document type template via the external business system or subsequent nodes, confirm that the form fields switch to the structure corresponding to the target document.
- Wait for the set save interval, check whether the external business system or subsequent nodes complete the saving of form content.
The values provided here 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.