What the data for this category looks like
Elderly care service institution supervision data typically comes from elderly care service information platforms, civil affairs statistics systems, fire safety inspection records, and institution operation ledgers. Data is updated monthly. Daily documents involved include filing materials, operation subsidy applications, service quality inspection forms, safety hazard rectification ledgers, and elderly admission files. Data fields include institution identifiers, bed scale, inspection item scores, rectification completion status, and more. Some documents require matching unified formats for cross-department collaboration.
What constraints these characteristics impose on the tool calling and plugins workflow
Monthly data updates require the tool calling knowledge base sync cycle to match the monthly rhythm. This prevents load caused by frequent full data pulls. Multiple data sources require plugins to connect to multiple system interfaces, and handle return content in different formats. Most documents use structured forms, so tool calling must accurately extract preset fields, rather than processing content generally. Cross-department supervision scenarios require plugins to have permission adaptation capabilities. This ensures compliant data from different departments can be called normally.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
toolChoice | auto | Supports automatic tool selection for multiple types of supervision documents including filing materials and subsidy applications |
| Single tool call limit | Top 3 entries | Matches the single-batch data volume for monthly updates, avoids pulling excessive historical data |
| Tool call timeout duration | 600 seconds | Adapts to delays from cross-department data pulls, covers data acquisition from civil affairs, fire safety, and other sources |
| Structured output field mapping | Follow preset fields for supervision documents | Corresponds to fixed fields in filing materials and rectification ledgers, ensures accurate data extraction |
| Question optimization switch | Enabled | Optimizes query instructions for long-text supervision questions to accurately match multi-source data |
Three Common Errors
- An
Invalid JSON: Bad control charactererror may occur. The cause is that supervision data returned by tool calls contains line breaks or invisible characters that have not been escaped. - Tool calls return empty results. The cause is that sync permissions for cross-department data sources are not configured, or the timeout setting is too short to pull external data such as fire safety inspection records.
- Tool call response speed is too slow. The cause is that the number of returned entries per tool call is not limited, leading to excessive load from pulling full monthly data.
How to Verify Correct Configuration
- Initiate a query targeting elderly institution filing materials. Check if tool calls automatically select the corresponding data source and extract structured fields.
- Simulate a request to generate a safety hazard rectification ledger. Confirm that the content returned by tool calls includes preset supervision document fields.
- Review tool call logs. Confirm that the timeout setting meets expectations, and no frequent timeout errors occur.
- Test cross-department data pulls. Confirm that relevant content from fire safety inspection records can be obtained normally.
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 2026-09-28.