What the data for this category looks like
Data for this category corresponds to daily work outputs of open-source maintainers, release managers, and documentation maintainers. Core documents include Release Notes, change logs, version tags, and release checklists. Data sources generally include Git tags, merged commit records, CI artifact packages, and Issue milestones. The update frequency is once per version. The data structure usually includes fields such as version number, change category, breaking change description, and artifact links. There is no unified mandatory unit, but version numbers must follow semantic versioning format, and change entries must be categorized by module.
Constraints on Forms and Interactions
Data for this category relies on Git, CI, and Issue systems. Forms must support entering version tags, artifact links, and Issue number fields. External business systems or subsequent nodes implement field association logic. Bind form trigger timing to version release nodes to match the once-per-version update frequency, avoiding invalid triggers. Add preset classification options to the most time-consuming change categorization step, to reduce manual input costs. Highlight breaking change descriptions separately to prevent omissions. Errors may cause user upgrade failures or community misunderstandings. Implement required field validation and format validation via external business systems or subsequent nodes to reduce filling error rates.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Form input node formInput | Test example: Select 3 fields from version release and Release Notes fields as required inputs; actual fields are determined per task | This node collects user input. When required items are missing, check 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 version releases and Release Notes must be implemented by subsequent interfaces or external systems |
| Post-submission field passing | Test example: Prepare 10 version release and Release Notes 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: Form trigger timing | Must be implemented separately by external systems; trigger based on version tag creation | Matches the once-per-version update frequency of this category to avoid invalid triggers |
| External implementation item: Required field configuration | Must be implemented separately by external systems; version number, change category, and artifact links are required fields | Corresponds to the core fields of the release checklist to reduce the risk of omissions |
| External implementation item: Error prompt configuration | Must be implemented separately by external systems; prompt logic is implemented by external business systems or subsequent nodes. Can be configured to prompt "Please fill in required content" when a field is empty, and "Please follow semantic versioning format" when the version number format is incorrect | Reduces user filling error rates and helps quickly locate issues |
Three Common Implementation Mistakes
- Phenomenon: The
formInputdialog box remains visible when nested in other workflows, and only hides when triggered by a single workflow. Cause: The dialog box display logic must be controlled by external workflow scheduling rules, and there is no FastGPT built-in configuration parameter for "display only when the current workflow is triggered". - Phenomenon: The prompt configuration interface only displays two global variable options, while older versions displayed more. Cause: This phenomenon is caused by adjustments to the global variable entry in the prompt configuration interface. Refer to the official documentation of the corresponding platform for specific adjustment logic.
- Phenomenon: After enabling the speech recognition model, clicking the voice input prompt shows that the browser is not supported. Cause: The browser has not enabled voice input permissions or the corresponding speech recognition script has not been loaded. This function is provided by the browser and is not a FastGPT built-in configuration.
How to Confirm the Configuration is Complete
- Create a test version tag, trigger the form filling process, and check whether required field validation prompts pop up normally.
- Switch to the nested workflow scenario, trigger the
formInputcomponent, and confirm that the dialog box only displays within the current workflow. - Enter the prompt configuration page, confirm that the global variable options conform to the FastGPT v4.17.0 configuration logic.
- Upload a test artifact link, check whether the external business system can correctly associate the CI artifact source field (this association logic is implemented by external business systems or subsequent nodes).
Note: The configuration values provided here are common starting points, and should be evaluated against the reader's own samples and use cases.
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.