What the Data for This Category Looks Like
Marketing content data for finance, insurance, and wealth management games primarily comes from customer acquisition materials produced by operations teams. These materials include information feed ad copy, new server (new event) promotion scripts, holiday event rules, community interaction lines, and more. Data updates are adjusted according to game version iterations, holiday events, and new server launch cycles, with no fixed schedule. Multiple material updates will occur within a single event cycle. Document structures are divided into lightweight short copy (100–500 characters per entry) and structured event materials. Structured materials include fields such as event name, applicable server scope, reward wealth management experience fund share, reward point value, and event validity period. Reward value units include "shares", "points", and "days". Time fields are recorded in the "YYYY-MM-DD HH:mm:ss" format.
Constraints Imposed by These Characteristics on Model Integration and Configuration
The marketing materials for finance, insurance, and wealth management games mix short and long copy structures. Model integration and configuration must meet both short and long input and output needs, and adapt to variable context window parameters. Structured event materials include multiple exclusive fields. Configuration must support structured output parameters to ensure the model can accurately match fields such as event name and reward wealth management experience fund share. The non-fixed update cycle of materials requires configuration to support dynamic loading interfaces for the latest materials, preventing the model from calling expired content. Additionally, tone and style requirements vary widely across different marketing scenarios. Corresponding system prompt templates must be configured to adapt to output requirements for scenarios such as wealth management knowledge popularization and new server promotion.
How to Set the Configuration
| Configuration Item | Recommended Values | Rationale |
|---|---|---|
maxContext | 8000–16000 characters | Balances lightweight processing of short copy and full loading of long event rules, avoiding information truncation |
systemPrompt | Task instructions matching the corresponding marketing scenario, such as "extract game event structured fields" or "generate new server promotion copy" | Clarifies the model's task direction, adapting to the segmented scenario requirements of finance, insurance, and wealth management games |
functionCallEnable | Enabled | Supports structured field assignment, ensuring model output event information conforms to preset formats |
| Recall Count | 3–5 entries | Game marketing content has high relevance, a small number of recalls can cover reference needs, avoiding interference from redundant information |
| Similarity Threshold | 0.75–0.85 | Filters low-relevance marketing materials while retaining sufficient reference content for generation or extraction |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to the parsing duration of long event rules, preventing parsing timeouts caused by overly long materials |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Configuration Mistakes
- Symptom: An error occurs when calling the model, and the third-party gateway log shows that the incoming token is the fixed value "fastgpt". Cause: The exclusive token of the third-party gateway was not correctly replaced in the FastGPT model configuration, causing gateway verification failure.
- Symptom: The model correctly extracts event text content, but fails to assign values to fields such as reward wealth management experience fund share and applicable server scope. Cause: The
functionCallEnableparameter was not enabled, or the structured field output requirement was not clearly stated in the system prompt. - Symptom: The model fails to respond to requests normally after deployment, and remains in a loading state for a long time. Cause: The
maxContextorPARSE_FILE_TIMEOUT_SECONDSparameters were not correctly configured, failing to adapt to the processing requirements of long game marketing materials.
How to Confirm the Configuration Is Complete
- Submit a test game event copy, check whether the fields output by the model match the input content, and adjust parameters until the output format meets the requirements.
- View the model call log, confirm that the incoming token matches the token configured for the third-party gateway, with no abnormal characters or fixed values.
- Submit marketing materials of different lengths, check whether the model can process long copy completely without truncation or information loss, and adjust the
maxContextparameter for adaptation. - Test copy for multiple marketing scenarios, confirm that the model output style conforms to the requirements of the corresponding scenario, and adjust the
systemPromptparameter to optimize results.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.