What Data for This Category Looks Like
Data for this category primarily comes from game operation backends, player segmentation systems, payment statistics modules, and activity operation logs. Daily produced documents include activity plans, reward configuration tables, launch checklists, and activity post-mortem reports. Common fields include activity ID, reward type, distribution quota, effective time period, and compensation rules. Units include in-game tokens, physical redemption codes, percentage ratios, and similar items. Update frequency is typically weekly, or temporary adjustments made before holiday events. Multiple synchronizations of player behavior data and operation configuration items occur during a single activity cycle.
Constraints on Model Access and Configuration
Activity configuration data fields are mostly strongly rule-based, and involve changes to player assets. Model calls must strictly match the field format of configuration items to avoid generating test cases that violate operation rules. Activity data update frequency fluctuates greatly. Holiday peak periods generate large volumes of real-time logs. Model access must adapt to high-concurrency calls in short cycles to prevent call failures due to insufficient resources. Document structures mostly combine structured tables and text descriptions. The model must handle both structured configuration validation and conversion of natural language descriptions of activity logic, ensuring validation covers all configuration details. Since errors directly impact player experience and game revenue, the result validation step for model calls must bind the original configuration data of the current activity to avoid configuration confusion across activities.
How to Set Configuration Parameters
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Game activity configuration documents and associated log data have large volume. Sufficient context must be retained to fully link activity rules and historical anomaly records |
maxTokens | 4000 token | Test case and defect analysis output must cover all activity workflow validation points. Limiting output length prevents generation of redundant, unnecessary validation items |
temperature | 0.2–0.4 | Activity configuration validation requires strict logic. Lower temperature reduces randomly generated non-compliant validation items, ensuring test cases align with actual operation rules |
toolChoice | auto | Must automatically select validation logic based on the field type of activity configuration, adapting to different validation scenarios such as reward configuration, time rules, player segmentation matching |
AIPROXY_API_TOKEN | Administrator Token configured for the AI Proxy server. Must match the AI Proxy server configuration and cannot be empty | Required environment variable for the App/Admin server, used for identity authentication of the AI Proxy service |
Three Common Configuration Errors
- Interface prompt "No available model". Troubleshooting items: Incorrect configuration of the server environment variable
AIPROXY_API_TOKEN, AI Proxy service not running normally, or abnormal upstream model channel configuration. - Model call returns empty result. Cause:
maxContextis set too small, failing to load complete activity configuration documents and associated log data, preventing the model from generating valid validation content. - Test validation result does not match actual configuration. Cause:
temperatureis set too high, causing generated test cases to deviate from the original rules of the activity configuration, resulting in logical discrepancies.
How to Confirm Successful Configuration
- Check the environment variable configuration of the App/Admin server, confirm that the non-empty
AIPROXY_API_TOKENandAIPROXY_API_ENDPOINThave been correctly set. - Upload a complete activity reward configuration table, trigger the model to generate test cases, verify that the generated validation items include all reward IDs and distribution rules in the configuration table.
- Simulate a single activity configuration validation request, check that the model call response time does not exceed the preset threshold, and no timeout errors occur.
- View model call logs, confirm that each call is associated with the exclusive configuration ID of the current activity, avoiding configuration confusion across activities.
The values provided here 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.