What data for this category looks like
The typical stakeholders for this segment are client engineers, engine engineers, and performance testing teams. Daily produced documents include performance test reports, device compatibility lists, optimization records, and crash analysis reports. Data sources include engine Profiler, crash platforms, physical device tests, and frame rate collection tools. Data updates occur daily or per version iteration. Fields include frame rate values, memory usage, device models, pre- and post-optimization comparison items, and more. Formats adjust dynamically based on test scenarios, with no unified fixed structure.
What constraints do these characteristics impose on the "HTTP Interfaces and External Systems" link
Data sources rely on real-time reporting from physical device tests and engine Profiler. Interfaces must support high-frequency small-data or batch data transmission to meet fast synchronization needs for performance data. Update frequency is daily or per version, so interfaces must support incremental synchronization mechanisms to reduce unnecessary bandwidth consumption. Daily documents are mostly structured test and analysis content, so interfaces must have the ability to receive and parse structured data. Since the core focus of this category is frame rate, resource loading, and package size optimization, interfaces must adapt to transmission of large-volume performance logs and resource loading data. They must also be compatible with reporting format differences across different device models.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Authentication Key | Configure as a Bearer token agreed upon with the external system, valid for 7 days | Complies with general HTTP interface authentication specifications to ensure the security of performance data transmission |
| Timeout Period | 30–60 seconds | Adapts to the reproduction cycle of physical device tests, preventing performance data reporting from being interrupted due to overly long wait times |
| Return Field Filtering | Only retain frame rate, memory usage, and crash count | Matches the core focus indicators of game client performance optimization, reducing invalid data transmission volume |
| Global Variable Configuration | Write device model and test environment identifier | Uniformly manages test scenario parameters, adapting to batch request requirements for multi-device performance tests |
| Data Chunked Transfer | Transmit performance logs in chunks of 1000 entries per package | Adapts to large-volume performance data transmission scenarios, avoiding single requests exceeding external system limits |
| Interface Format Adaptation | Support OpenAI-formatted interfaces | Facilitates integration with external knowledge base tools, aligning with industry general interface specifications |
The configuration rules on this page apply to FastGPT v4.17.0.
Three common configuration mistakes
- Phenomenon: HTTP request returns status code 408 or request timeout. Cause: The timeout configuration was not adjusted based on the reproduction cycle of physical device tests, causing the external system to interrupt performance data reporting before it completes.
- Phenomenon: Response body displays no data provided. Cause: The correct return field filtering rules were not configured, or the interface failed to correctly parse structured performance data.
- Phenomenon: Unable to integrate with external knowledge bases via the interface. Cause: OpenAI-format interface adaptation was not enabled, or the correct global variable filtering conditions were not configured.
How to confirm the configuration is correct
- Send a single performance data reporting request, verify that the returned result only includes the preset frame rate, memory usage, and crash count fields.
- Set the timeout period to 30 seconds, send a long request simulating a physical device test, confirm that the request is not forcibly interrupted within 30 seconds.
- Set global variables to the specified device model, send a batch request, confirm that the returned result only includes performance data for the corresponding device model.
- Send an OpenAI-format knowledge base integration request, confirm that the interface returns expected structured data.
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.