What the data for this category looks like
Data for this category comes from cloud management platforms, order systems, IAM, and billing systems. Update frequency is per order or real-time. Daily produced documents include resource activation forms, instance configuration sheets, account permission forms, and delivery confirmation forms. Core fields include instance specifications, deployment regions, system images, security group rules, IAM permission configurations, billing modes, and more. Document structure follows the application-review-delivery workflow in layers. Each field must match the parameter format of the corresponding system.
What constraints these characteristics impose on forms and interactions
Multiple systems providing data requires real-time options to be fetched via external business system linkage. FastGPT’s formInput and userSelect interaction nodes receive these options and display them to users. This prevents parameter mismatches caused by manual input. The real-time update frequency requires that after a form is submitted, external business systems or subsequent workflow nodes quickly complete verification and synchronization. FastGPT’s interaction nodes pass user input information to support this process. This prevents resource misalignment or billing anomalies. Multiple types of business documents require external business systems to separately implement dynamic field configuration logic for documents. FastGPT’s formInput and userSelect interaction nodes collect user input information and pass it to subsequent nodes. This matches required fields and format requirements for different scenarios. The most time-consuming specification verification link requires external business systems or subsequent workflow nodes to implement automatic verification logic. FastGPT’s interaction nodes pass user input information to support this verification. This reduces manual verification costs and error rates.
How to set configurations
This document is written based on the configuration logic of FastGPT v4.17.0.
| Configuration Item | Recommended Practice | Rationale |
|---|---|---|
Form input node formInput | Test example: Select 3 fields from cloud host provisioning and resource activation fields as required inputs. Actual fields are determined per task | This node collects user input. Missing required fields requires checking 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. Querying and filtering records related to cloud host provisioning and resource activation must be implemented by subsequent interfaces or external systems |
| Post-submission field passing | Test example: Prepare 10 input samples for cloud host provisioning and resource activation, covering complete filling, missing required fields, and canceled operations | Compare input and node output to check whether subsequent nodes receive corresponding fields. Result thresholds are determined per actual task |
| External implementation item: Field verification timeout threshold | Must be implemented separately by external systems. Set by external business systems or subsequent workflow nodes. Recommended value is 10 seconds (starting point for actual testing) | Adapts to the update frequency of real-time data pulling, preventing users from waiting too long |
| External implementation item: Linkage verification rules | Must be implemented separately by external systems. Implemented by external business systems or subsequent workflow nodes, matching supported system images and security group types according to instance specifications | Reduces time spent on manual specification verification and avoids configuration errors |
| External implementation item: Error prompt configuration | Must be implemented separately by external systems. Generated by external business systems or subsequent workflow nodes with precise error messages. FastGPT’s interaction nodes display this prompt, such as showing "The selected region does not currently support this instance specification" when the region is unsupported | Helps quickly locate issues and reduces review and troubleshooting costs |
Three common mistakes
- Phenomenon: Forms built using FastGPT interaction nodes allow submission or initiation of subsequent operations without completing required field verification. Cause: Required field verification logic for external business systems or subsequent workflow nodes is not configured. Pre-submission verification links are not set up.
- Phenomenon: Drop-down options in forms built using FastGPT interaction nodes do not match actually activatable resources. Invalid optional values appear. Cause: External business system linkage to pull real-time options is not implemented. Options are not updated in a timely manner.
- Phenomenon: Instance deployment fails or billing anomalies occur after submitting a form built using FastGPT interaction nodes. Cause: Linkage verification rules configured via external business systems or subsequent workflow nodes are missing. Matching between instance specifications, regions, and images is not verified. Data is not synchronized to the billing system.
How to confirm configuration is complete
- Open the corresponding business document form built using FastGPT interaction nodes. Check whether required fields are configured according to document type. Attempt to submit with incomplete fields to verify whether external verification logic triggers prompts.
- View the drop-down option list in the form built using FastGPT interaction nodes. Confirm that options are pulled by external business systems from cloud management platforms, IAM, and other business systems. Switch regions to check whether options are synchronized and updated.
- Simulate submitting a test form built using FastGPT interaction nodes. Check whether data is synchronized to order systems and billing systems. Verify whether external callback logic takes effect.
- Trigger field verification. Enter an invalid instance specification. Check whether FastGPT interaction nodes display precise error messages generated by external business systems or subsequent workflow nodes. Verify whether external verification prompt configuration takes effect.
All provided values are common starting points. They 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.