What This Category's Data Looks Like
Core data for this category comes from elderly care service information platforms, civil affairs statistics systems, fire safety inspection records, and institution operation ledgers. The update frequency is monthly. Daily processed documents include institution filing materials, operation subsidy application materials, service quality inspection forms, safety hazard rectification ledgers, and elderly admission files. Data fields cover institution qualifications, bed count, service records, safety rectification status, and more. Content is stored only as structured data that follows actual business workflows, with no fixed unified statistical caliber or amount standards.
What Constraints These Characteristics Impose on the "Workflow Orchestration" Link
Reference only; verify against the target FastGPT release and deployment documentation.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
variables | Map to business document fields: filing number, bed count, rectification status | Match core business fields for elderly care supervision, to facilitate subsequent node calls and data validation |
nodeId | Set unique identifiers for data validation, subsidy review, and safety inspection nodes respectively | Facilitate troubleshooting of workflow abnormal nodes, quickly locate specific links where execution failed |
| Form interaction display rules | Enable global form synchronization, set input box maximum length to 800 characters | Adapt to text entry requirements for filing materials and rectification ledgers, avoid long content being truncated |
| Tool call model selection | Set based on actual testing | Adapt to multi-tool call scenarios for cross-department collaboration, match the complex intent classification requirements of supervision processes |
| Context window size | Set to 4000–6000 tokens | Accommodate monthly updated multi-source data summaries, avoid workflow interruptions caused by context overflow |
| Timeout threshold | 600 seconds | Adapt to the time consumption of cross-system data pulling, avoid abnormal workflow termination caused by network latency |
Three Common Mistakes
- Phenomenon: Form inputs configured in the workflow cannot be displayed in the conversation interface, and interaction content is empty. Cause: The workflow's form synchronization switch is not enabled, or form fields are not bound to the
variablesparameter. - Phenomenon: Tool call nodes have no response, returning an error that no execution tool was selected. Cause: No clear intent classification rules are configured for the tool call node, or the selected model cannot adapt to the multi-tool trigger logic.
- Phenomenon: File links in the AI conversation module cannot load properly, and user questions have no response after configuration. Cause: The exclusive document library for supervision business is not bound to the node, or the trigger conditions for user questions do not match business scenario keywords.
How to Confirm Proper Configuration
- Trigger the test workflow, submit simulated elderly care institution filing materials, check whether form fields are fully displayed in the conversation interface.
- Call the tool node, enter simulated fire safety inspection data, confirm whether the corresponding validation rules can be triggered correctly.
- View the workflow log, verify whether the
variablesparameter correctly extracts core business fields such as filing number and bed count. - After configuring the timeout threshold, simulate cross-system data pulling, confirm that the workflow does not terminate due to timeout.
The values provided here 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 2026-09-28.