What data looks like for this category
Data sources for this category include stress testing platforms, APM monitoring tools, database slow logs, and production traffic baselines. Updates occur monthly or when major versions are released. Daily deliverables include stress testing plans, capacity evaluation reports, stress testing data records, and optimization suggestion sheets. Document fields cover throughput rate, latency, resource usage, peak concurrent connections, and similar metrics. Common units are requests/second, milliseconds, percentage, and concurrent connections. Core focused metrics differ from integration testing, centering on throughput, latency, and resource reserve. All data is generated to support performance bottleneck identification and capacity planning.
Constraints imposed on HTTP interfaces and external systems
Scattered data sources and long update cycles require HTTP interface calls to support multi-source data pulling and incremental synchronization. This avoids overloading single requests. Fixed document structures that require full-link data retention mandate external system calls to carry parameters such as Authorization and variables for identity verification and variable transfer. This ensures data traceability. Precise requirements for throughput and latency metrics restrict the configuration ranges for interface timeout periods and concurrent request counts. Real-time validation must also be performed for abnormal data in slow logs and APM monitoring. Capacity evaluation demands external system calls support batch data reporting. This accommodates stress testing data submissions of varying volumes.
How to set configurations
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
| Timeout period | 600–1200 seconds | Adapts to the typical cycle of stress testing data pulling and external system responses, prevents single requests from interrupting stress testing workflows |
| Concurrent request count | Calibrated to 1.2–1.5 times the production traffic baseline | Matches preset concurrent scenarios for capacity evaluation, covers peak traffic reserves |
| Batch reporting threshold | 800–1200 characters | Adapts to the single-record data length of stress testing data records, balances transmission efficiency and stability |
| Identity verification parameter | Carry valid tokens in the Authorization header | Complies with FastGPT v4.17.0 API call specifications, ensures compliance with external system access permissions |
| Variable transfer switch | Enable variables parameter transfer | Supports dynamic binding of business variables in stress testing scenarios, adapts to multi-version stress testing requirements |
| Response data filtering | Only retain the responseData core field | Reduces invalid data transmission, improves the efficiency of stress testing data recording |
Three common configuration errors
- Symptom: HTTP interface calls return garbled text, or content displays abnormally after uploading text datasets. Cause: Character encoding parameters are not configured correctly, leading to mismatched data transmission encoding between the external system and FastGPT.
- Symptom: Repeated requests or request interruptions occur when a workflow repeatedly calls HTTP interfaces. Cause: Reasonable loop termination conditions and timeout protection are not set, leading to resource exhaustion during stress testing scenarios.
- Symptom: 401 Unauthorized errors are returned when calling external system interfaces. Cause: The
Authorizationparameter is not configured correctly, or tokens are not updated as required.
How to verify correct configuration
- Initiate a single HTTP interface call, check if the
responseDatareturn field contains expected stress testing data, with no extra redundant content. - View FastGPT backend API call logs, confirm that the
Authorizationparameter is carried correctly, with no missing or formatting errors. - Simulate peak concurrent requests, verify that the interface timeout period falls within the preset range, with no frequent timeouts.
- Upload test text and files, check that no garbled text appears after data transmission, matching the original content.
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.