What this category of data looks like
This category of data draws from internal document repositories, compliance review documents, and standardized business document templates of government and state-owned enterprise communication systems. Update frequency is adjusted along with industry policies, or once per quarter. Document structure includes fields such as document number, issuing unit, effective date, confidentiality level, main body content, and attachment list. Single document length varies widely, from hundreds to tens of thousands of characters. Fields must strictly match internal government and enterprise document specifications, and metadata formats must not be adjusted arbitrarily.
What constraints do these characteristics impose on the HTTP Interfaces and External Systems link
Confidentiality level and compliance fields require interfaces to pass strict authentication mechanisms. The Authorization parameter must carry a Token whose validity period matches government and enterprise gateway rules to prevent unauthorized access. Multi-field metadata requires request parameters to fully cover required items. variables must pass information such as document number and confidentiality level, otherwise generated content cannot be legally archived. Long text spans require interface timeout settings to adapt to processing durations for different length documents, to avoid mid-process interruption. Strict document format requirements require returned responseData to retain the original document's layout and metadata markers, ensuring generated content can be directly used for internal circulation.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Practice | Rationale |
|---|---|---|
Authorization | Carry Bearer Token with a 2-hour validity period | Match authentication specifications for government and state-owned enterprise communication systems, comply with cybersecurity level protection requirements |
variables | Pass required metadata such as document number, confidentiality level, and issuing unit | Ensure generated content meets compliance requirements for government and enterprise official documents |
responseData | Retain the original document's layout and metadata fields | Adapt to format requirements for internal archiving and circulation |
| Timeout duration | 600 seconds | Adapt to generation and processing durations for long documents, avoid mid-process interruption |
| Retry attempts | First 3 attempts | Address interface call failures caused by network fluctuations |
| Batch call limit | 50 items per single request | Match batch processing quotas for government and enterprise systems, avoid overload |
Three common errors
- Calling the interface returns a
401 Unauthorizedstatus code, caused by incorrect configuration of theAuthorizationparameter and use of an expired gateway Token. - Generated documents lack the confidentiality level field, caused by not passing the corresponding metadata field in
variables, resulting in generated content failing internal compliance review. - Interface configuration is lost after container restart, caused by not mounting FastGPT's configuration directory as a persistent storage volume, leading to configuration being cleared after container restart.
How to confirm the configuration is correct
- Call the test interface, check if the returned
responseDataincludes preset metadata fields, and verify if the format meets requirements. - View the interface call log to confirm that the
Authorizationparameter is carried correctly and has not expired. - Simulate a container restart operation, check if FastGPT's interface configuration is fully retained.
- Generate a test document, verify that all required metadata is included in the content and that the format matches internal specifications.
The values provided are common starting points and should be measured against samples used in the target deployment.
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.