Reference only; verify against the target FastGPT release and deployment documentation.
What the data for this category looks like
The data for this category comes from the enterprise registration full-process electronic system, national enterprise credit information public disclosure system, electronic business license system, and residence information database. The update frequency is daily. Daily processed documents include establishment registration applications, articles of association, shareholder resolutions, residence certificates, business licenses, and food business license applications. Data fields cover entity name, unified social credit code, registration status, licensing items, residence information, and more. Some materials are structured application documents, while others are unstructured certification files.
What constraints these characteristics impose on tool calling and plugin workflows
The daily updated data source requires tool calling to support incremental pulling. This prevents excessive system load caused by full data pulling. Multi-source data requires plugins to connect to interfaces of different government affairs systems, and adapt to varying return formats. Diverse document types require plugins to support multi-format parsing, and accurately extract field information. Fields must strictly align with business requirements for registration and licensing. Any missing or incorrect field can block subsequent processes.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | Specify tools | Must accurately call government data source interfaces related to market entity registration, avoid mistakenly calling unrelated tools |
functionCall | Enable | Must use function calls to accurately extract ledger fields and standardize report format generation |
| Plugin timeout threshold | 600 seconds | Pulling market entity registration data requires connecting to multiple government affairs systems, single interaction takes longer time |
| Plugin parameter mapping rules | Bind by business fields | Daily documents include multiple types such as establishment registration applications and shareholder resolutions, must accurately match corresponding input and output fields |
| Batch processing limit | First 20 items | Single summary ledger data volume should not be too high, avoid exceeding system load threshold |
| Result verification switch | Enable | Errors in registration and licensing data may lead to rejection or operational restrictions, must verify field completeness and legality |
Three common misconfigurations
- Phenomenon: A custom plugin added to a workflow shows no input or output parameters, with no error logs. Cause: Plugin parameter mapping rules are not configured according to business fields, and relevant document fields for market entity registration are not bound to plugin input and output items.
- Phenomenon: Chat interface calls respond slowly, and timeout errors occur. Cause: A reasonable plugin timeout threshold is not set, and incremental data pulling mode is not enabled. Pulling full daily updated data in a single operation causes excessive system load.
- Phenomenon: Array element processing fails during cyclic operation, with some result fields empty. Cause: Input parameters of the loop body are not correctly associated with ledger entry fields for market entity registration, and format validity of array elements is not verified.
How to verify correct configuration
- Trigger a single ledger summary task. Check if the plugin can correctly pull daily updated data from the specified data source, and if fields align with business requirements.
- Access the plugin configuration page of the workflow. Confirm that input and output parameters correspond one-to-one with fields in daily documents such as establishment registration applications and shareholder resolutions.
- Simulate a batch ledger processing scenario. Pass an array containing multiple ledger entries, confirm that the loop body can correctly process each element and generate corresponding report fragments.
- Test abnormal data scenarios. Pass ledger entries with missing fields, confirm that the result verification switch triggers corresponding prompts.
The values listed here are common starting points. They should be evaluated against local deployment 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.