What this category of data looks like
Code security auditing data typically originates from source code repositories, dependency lists, static application security testing (SAST) tools, and public vulnerability databases. Data is generated after each project version iteration or completion of a single audit cycle. Standard documents include code audit reports, vulnerability proof materials, repair recommendation documents, and retest records. Core fields cover vulnerability severity, associated code line numbers, vulnerability types, repair status, and retest results. No unified fixed units exist; values adjust based on specific audit items.
What constraints do these characteristics impose on HTTP interfaces and external systems
The document structure for code security auditing is complex, and individual data entries have large volume. HTTP interfaces must support batch retrieval of large-volume reports and retest records to avoid request timeouts. Data sources are scattered, so external systems require support for format conversion across multiple data types, and interfaces must provide standardized field mapping configurations. Update frequency follows project iterations, so interfaces must support incremental synchronization triggered by project ID or version number to avoid excessive resource usage from full pulls. Vulnerability proof materials and retest records have an association relationship, so interfaces must support associated queries to ensure the logical integrity of audit data obtained by external systems.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Fixed prefix of Bearer plus a valid API key, set key validity period to 30–90 days, set single-key call limit to 1000 times/day | Meets API key management requirements for code security auditing scenarios, prevents key abuse, and aligns with common community configuration needs |
variables | Configure project ID and version number as global variables, with values being valid identifiers for the current audit project | Adapts to the scenario of pulling data by project/version in code security auditing, simplifies external system call parameters |
responseData | Configure return fields to include vulnerability severity, associated code line numbers, and repair recommendations, set return format to JSON | Matches the standard field structure of code security auditing documents, facilitating parsing and processing by external systems |
| Interface pull batch size | 50–100 items/request | Adapts to the large data volume feature of individual audit reports, avoiding single request timeouts |
| Timeout period | 600 seconds | Adapts to the large volume requirements of code security auditing data pulls, avoiding request interruptions |
| Authentication method | Bearer token authentication | Complies with general API security specifications, aligns with FastGPT’s standard configuration logic |
Three common configuration errors
- API key configuration without validity period or call count limits leads to abuse after key leakage. This occurs because data security control requirements for code security auditing scenarios are not referenced, and API key configuration options are ignored.
- Pulling too many audit data entries in a single request triggers interface timeout errors. This occurs because the pull batch size is not adjusted based on the volume of individual audit reports, exceeding the interface’s default processing limit.
- Incorrect field mapping during external system interface calls results in empty returned values for information such as vulnerability severity and code line numbers. This occurs because the standard field structure of code security auditing documents is not matched, and correct field mapping rules are not configured.
How to confirm configuration is complete
- Call the test interface in a FastGPT v4.17.0 environment. A response indicating authorization verification passed confirms the key configuration is effective.
- Initiate a request to pull data by project ID. Returned results limited to audit documents for the target project confirm the pull range configuration is correct.
- Review structured data returned by the interface. Inclusion of core fields such as vulnerability severity and associated code line numbers confirms the response format configuration is correct.
- Initiate multiple consecutive call requests. No triggered call count limit errors confirm the single-key limit configuration is effective.
The values provided 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 2026-10-19.