What data for this category looks like
Data for this category primarily comes from pressure testing platforms, APM monitoring tools, database slow logs, and production traffic baselines. Documentation formats include pressure testing plans, capacity assessment reports, pressure testing data records, and optimization suggestion sheets. Update frequency is monthly or when major versions are released. Data fields include concurrent connections, request latency, resource usage, and throughput. Corresponding units are threads, milliseconds, GB, and requests per minute. No fixed percentage-based statistical metrics are included. A single set of documents covers the full performance testing workflow for one project, including test assumptions, execution scripts, indicator logs, and conclusion recommendations. This documentation applies to FastGPT v4.17.0.
What constraints these characteristics impose on the "HTTP Interfaces and External Systems" link
The diversity of data sources requires HTTP interfaces to support integration with export interfaces from multiple external tools, to batch retrieve pressure testing and monitoring data. The periodic update frequency means interface call caching cycles must match monthly or version-level update rhythms, to avoid retrieving outdated data. The structured nature of documentation requires interface requests to support passing identification fields such as plan numbers and report IDs, to accurately associate test configurations for corresponding projects. The clear definition of fields and units requires request bodies and return values of interfaces to strictly match preset units and field names, to avoid indicator distortion caused by parameter mixing. Additionally, the most time-consuming links of this category—pressure testing model design and bottleneck identification—require interfaces to support batch retrieval of historical test data, to reduce the workload of repeated data entry.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Concurrent Connection Upper Limit | 800–1200 threads | Matches the fluctuation range of production traffic baselines, covers peak scenarios |
| Request Timeout | 300 seconds | Adapts to the longest request latency threshold recorded in pressure testing data logs |
Authorization | Use fixed tokens issued by the platform | Ensures interface call security, complies with enterprise-level authentication specifications |
variables | Bind concurrent count and test address variables from pressure testing plans | Adapts to pressure testing configurations for different versions, reduces manual modification workload |
responseData | Map to throughput, latency, and resource usage fields | Matches the standard field structure of capacity assessment reports |
| Data Pull Cycle | Every 7 days | Matches monthly update frequency, avoids excessive external interface calls |
Three Common Mistakes
- Symptom: After calling the file upload recognition interface, XLSX files do not trigger AI conversations. Cause: The parsed text fields from files are not correctly mapped in
responseData, causing subsequent conversation flows to fail to obtain valid input content. - Symptom: Workflows that loop calls to HTTP interfaces become unresponsive or interrupt. Cause: Request timeout values matching pressure testing scenarios are not set, causing single calls to be forcibly terminated after exceeding preset time thresholds.
- Symptom: Garbled text appears when uploading text strings via the web interface, uploading text files, or uploading strings via the API. Cause:
UTF-8character encoding is not specified in request headers, causing character conversion errors during interface text parsing.
How to Confirm Configurations Are Correct
- Call the
Authorizationauthentication interface. A valid verification result indicates authentication configurations are correct. - Send a single test request. Check if fields returned in
responseDatamatch preset indicator fields from pressure testing plans. - Run a loop call test. Confirm that parameters bound to
variablesupdate automatically as the loop progresses. - Upload test text files and strings. Check that returned results and parsed content have no garbled text, confirming character encoding configurations meet requirements.
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 2026-10-19.