What the data for this category looks like
Core data for this category covers daily office documents. These include audit notices, inspection work papers, suspicious item lists, interview records, handling decision letters, rectification reports, and similar materials. Data sources include medical insurance intelligent monitoring systems, fund supervision rule bases, medical insurance settlement data, drug and consumable traceability codes, and complaint clues. Data is updated monthly. Core fields include violation types, involved institution information, involved amounts, processing progress, and similar details. Units used are specific item entries, standard amount units, and time nodes. All data is generated for post-event inspection and special work processes related to fund supervision and audit.
Constraints Imposed on the Tool Calling and Plugins Link
Monthly updated data sources require tool calling cache periods to match the update rhythm, to avoid use of expired audit data. Multi-source heterogeneous data access requires plugins to support parsing different format documents, to adapt to content with varying structures such as audit notices and settlement data. A single audit process involves data retrieval across multiple links. During high-concurrency tool calls, limit the number of tool calls per process to prevent resource overload. The accuracy of violation determination directly relates to fund loss risk. Tool call results must include traceable data source identifiers to facilitate subsequent review.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
toolChoice | auto | Adapt to the need for automatic scheduling of multiple tools during audit processes, no manual tool specification required |
| Tool call concurrency limit | 2 calls/second | Match the reasonable rhythm of batch retrieval of medical insurance settlement data, avoid empty returns caused by excessive concurrency |
| Single tool call timeout | 600 seconds | Cover time requirements for accessing medical records and prescriptions, and cross-data source queries |
functionCall | Only call audit-specific tools | Limit call scope to avoid execution of unauthorized tools |
| Number of results returned per single call | Top 10 entries | Match the conventional display volume of audit suspicious item lists, avoid result overload |
| Result cache period | 30 days | Match the monthly data update frequency, avoid using expired audit data |
Three Common Misconfigurations
- Phenomenon: Empty values are returned when calling tools concurrently, and logs show no valid responses. Cause: The concurrency limit is set higher than the actually adapted call frequency, and requests are discarded due to exceeding the system's processing capacity.
- Phenomenon: Multi-image parameters cannot be received correctly when calling image tools, and the interface shows missing parameters. Cause: Multi-image data is not assembled according to the parameter format required by the tool, and the multi-file parameter transfer rules of the plugin are not configured correctly.
- Phenomenon: Plugins deployed in FastGPT v4.17.0 cannot access intranet storage resources, and a connection timeout prompt is displayed. Cause: Plugin systems in versions 4.10.0 and above require storage resources to be publicly accessible. Intranet environments cannot connect because reverse proxy or port mapping is not configured.
How to Confirm Proper Configuration
- Perform a single tool call test, check whether returned results include core fields of the audit suspicious item list, and confirm correct data source association.
- Simulate a high-concurrency call scenario, observe the return status of tool calls, and adjust the concurrency limit to a range that matches the business rhythm.
- Check the timeout time configured for the plugin, confirm that it is longer than the average time required for a single audit process, to avoid mid-process interruptions.
- View the plugin's log records, confirm that all call requests can normally obtain return content from the corresponding data sources.
The values listed 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 2026-09-28.