What data in this category looks like
This category’s data comes from state-owned assets supervision information systems, enterprise asset management systems, property rights exchange systems, evaluation agency reports, and financial statements. Data updates occur monthly. Daily processed documents include property rights registration forms, asset evaluation reports, property rights transfer plans, on-site transaction announcements, and asset disposal approval documents. The data structure includes both structured forms and unstructured reports. Fields cover asset ownership number, evaluation benchmark value, transaction consideration, approval flow node identifier, and similar items. Units include ten thousand yuan, square meters, pieces, and other standard units.
What constraints do these characteristics impose on the tool calling and plugins link
The monthly update requirement means tool calling must support scheduled trigger cycle configuration to ensure ledger data timeliness. Multi-source heterogeneous data sources require plugin HTTP request parameters to adapt to interface formats across different systems. Some systems require exclusive permission tokens for authentication. Mixed structured and unstructured document types require tool calling to distinguish parsing rules: extract fields directly from structured forms, and complete information extraction before organizing content for unstructured reports. Additionally, data errors in this category can cause serious consequences such as state-owned asset loss. Therefore, tool calling must configure exception capture and verification logic to ensure extracted fields meet standardized requirements.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | Set to auto, specify the tool list including asset ledger extraction and report generation | Adapt to multi-tool collaboration needs for ledger summary and report generation, automatically match tools with corresponding functions |
| Scheduled trigger configuration | Set to execute at 0:00 on the 1st of each month | Match the monthly data update frequency, ensure timeliness of ledger summary |
| Exception retry mechanism | Set retry count to 3 times, retry interval to 60 seconds | Address occasional fluctuations in state-owned asset system interfaces, reduce call failure rates |
functionCall | Enable forced structured output | Ensure extracted asset fields meet standardized formats, facilitate ledger summary and report generation |
| Data source parameter verification | Enable required field verification | Adapt to interface format differences of multi-source systems, avoid invalid requests |
Three common misconfigurations
- The phenomenon is that calling a third-party large model returns
{"object":"error","message":"Only allowed now"}. The cause is that custom model access parameters are not configured correctly, and the corresponding model's key and interface address are not bound in FastGPT. - The phenomenon is that a 500 error is returned when importing state-owned asset-related documents. The cause is that the mixed structured and unstructured format of the documents is not adapted, and the plugin does not correctly distinguish the parsing logic for forms and reports.
- The phenomenon is that no actual operation is performed after parsing parameters via HTTP tool calling. The cause is that the data source's permission token is not configured, and the interface request lacks necessary authentication fields, resulting in the request being blocked.
How to confirm the configuration is complete
- Manually trigger a tool call, check if the returned result includes required fields such as asset ownership number and evaluation value, and whether the field formats meet standardized requirements.
- View plugin call logs, confirm that HTTP request parameters match the requirements of the data source interface, with no missing authentication fields.
- Test the scheduled trigger function, confirm that ledger data has been automatically summarized and updated after the monthly trigger time point.
- Simulate an interface exception scenario, check whether the system triggers the retry mechanism and records exception logs.
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.