What this category of data looks like
Game client performance optimization business data comes primarily from engine Profiler, crash platforms, real-device testing tools, and frame rate collection systems. It focuses on metrics tied to frame rate, package size, and resource loading. Daily output documents include performance test reports, device adaptation lists, optimization iteration records, and crash analysis reports. Data updates occur daily or per version iteration cycle. Core fields include frame rate (fps), memory usage (MB), resource loading duration (seconds), device model, and game version number. Data volume grows with the number of test devices and frequency of version iterations. Coverage must include detailed performance data across multiple devices to support full traceability for compliance reviews.
What constraints these characteristics impose on conversation logs and audits
Multi-source performance data requires conversation logs to bind to specific devices, versions, and test scenarios. Without this binding, corresponding optimization records and test reports cannot be associated. The daily or per-version update rhythm requires audit log retention periods to match version iteration cycles. Insufficient retention causes missing regression test audits. Excessive retention consumes storage resources. The rich document system requires conversation logs to link to performance test reports and crash analysis reports. This meets traceability requirements for compliance reviews. Game client performance optimization focuses on frame rate, package size, and resource loading. Stutters, crashes, and similar errors directly affect store ratings. Audits must cover the full execution chain of every performance optimization conversation. This ensures optimization operations can be traced back to specific configurations and execution steps.
How to configure settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Bind to game client session identifiers | Match the unique identifier for a single operation in performance optimization scenarios, and associate test data for corresponding devices and versions |
responseChatItemId | Associate with performance optimization log entry IDs | Bind the traceability ID for each performance analysis conversation, and establish links with crash analysis reports and optimization records |
detail | Enable full log collection | Include core performance data such as frame rate fluctuations, resource usage, and loading duration, to meet full data requirements for compliance reviews |
| Log retention duration | Follow version iteration cycle + 7 days | Match game version update rhythm, and cover the audit cycle for version regression tests |
| Log filtering rules | Only retain conversations related to performance optimization | Focus on scenarios required for compliance reviews, and reduce storage usage from invalid logs |
Three common configuration errors
- Phenomenon: Logs returned after API calls do not include core performance-related fields. Cause: Full collection configuration for the
detailparameter is not enabled. Only basic conversation text is returned, which fails to meet detail requirements for compliance reviews. - Phenomenon: Audit logs cannot be associated with corresponding performance test reports. Cause:
chatIdis not correctly bound to game client session identifiers. This breaks the traceability chain, and makes it impossible to match core information such as device model and version. - Phenomenon: Storage resources are occupied by large volumes of invalid logs. Cause: Targeted log filtering rules are not configured. All conversation content is retained, including non-performance optimization unrelated conversations.
How to verify successful configuration
- Initiate a performance optimization-related conversation. Check if logs returned by FastGPT v4.17.0 include the
detailfield, and if the field contains performance data such as frame rate and memory usage. - Confirm that
chatIdmatches the game client session identifier. Ensure corresponding device and version test data can be associated using this identifier. - Verify that the log retention duration setting matches the current game version iteration cycle. This ensures coverage of regression test audit requirements.
- Randomly select multiple historical logs. Confirm only performance optimization-related conversations are retained, with no unrelated conversations included.
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.