What the Data for This Category Looks Like
The daily documentation for this category includes gameplay design documents, numerical tables, version requirement sheets, and balance test records. It typically contains fields such as level, attribute thresholds, resource consumption, and more. Units include numerical values, percentages, time units, and other standard units. Data sources include player behavior data, publicly available competitor materials, battle logs, and version feedback. The update frequency is once per week or per version release. Document structures vary widely by content type: numerical tables are mostly structured tables, while gameplay design documents include natural language rules and parameter descriptions.
Constraints Imposed on HTTP Interfaces and External Systems
Differences in document structures require interfaces to support parsing and pulling multi-format data, adapting to query needs for both structured numerical tables and unstructured gameplay rules. The high update frequency requires interfaces to synchronize the latest design data in real time, avoiding returning outdated numerical values and rules. Diverse data sources require integration with multiple external systems, such as databases storing player data, services generating battle logs, and more. The time required for numerical verification and rule parsing requires interfaces to set reasonable timeout periods to prevent call interruptions. Severe potential consequences require interfaces to include complete failure handling and retry mechanisms, avoiding gameplay imbalance or version rework caused by interface anomalies.
How to Configure Settings
This document is written based on FastGPT v4.17.0. Below are recommended values and their rationale for core configuration items:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Request timeout period | 60–120 seconds | Adapts to the typical calculation duration of numerical simulations and gameplay rule verification |
Authorization request header | Fixed secret string | Ensures the security of external interface calls and prevents unauthorized access |
Context variables parameter | Pass the numerical table ID and version feedback records for the current version | Accurately pull design data for the corresponding version, supporting context-associated Q&A |
responseData parsing rules | Map fields according to the design document template | Quickly align interface return data to existing design document formats |
| Single-call data limit | No more than 800 thousand characters | Adapts to the typical content length of a single design document or numerical table |
| Historical message retention count | Last 3 version feedback records | Supports context association for version revisions, avoiding repeated processing of similar issues |
Three Common Configuration Mistakes
- An HTTP interface call returns a 401 Unauthorized error. The cause is incorrect configuration of the
Authorizationrequest header, using an expired or incorrect secret string. - Calling the image-to-base64 interface exposed by FastAPI returns an empty result. The cause is failure to pass the correct local image path parameter in
variables, causing the interface to fail to read the target file. - An OpenAPI interface call returns numerical results that do not match the current version. The cause is failure to pass the corresponding version context parameter, pulling design data from an older version.
How to Confirm Proper Configuration
- Initiate a test call, check if the returned
responseDatafield contains expected numerical table fields and content. - View interface operation logs to confirm that the
Authorizationheader is correctly carried and verified. - Pass context
variablesparameters for different versions, verify that returned results change according to the version parameters. - Initiate consecutive call tests, confirm that the interface completes responses within the preset timeout period and has no timeout errors.
The values provided here are common starting points, and should be evaluated 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.