What the data for this category looks like
Game financial report data mainly comes from regular public financial reports of listed game companies, public industry monitoring reports, and official manufacturer-specific announcements. Updates follow fixed disclosure cycles: quarterly reports are released within 45 days after the end of a quarter, and annual reports are disclosed within 3 months of the following year.
Document structures typically include consolidated financial statements and special operation chapters. Fields cover monthly active users (MAU), average revenue per user monthly (ARPU), game revenue, R&D investment, revenue sharing ratio, and more. Units are mostly CNY, ten thousand CNY, and millions of users. Some fields require clarification of statistical scope based on business standards.
What constraints these characteristics impose on multi-turn dialogue and prompting
Game financial report data sources include public reports and industry monitoring data. Multi-turn dialogue must support credibility verification across data sources to avoid mixing unofficial data.
Single financial report documents are lengthy, and core operation chapters may exceed the context window. The length of recalled text per single call must be limited.
Industry-specific terms such as MAU, ARPU, and revenue sharing ratio do not have universal unified definitions. Prompts must clearly define field definitions and statistical standards in advance.
Fixed disclosure cycles require multi-turn dialogue to support filtering data by quarter and year. Time range verification logic must be embedded in prompts.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | After segmenting a single game financial report document, each segment is usually 2000–5000 token, reserving space for multi-turn dialogue context |
recallTopK | Top 6–8 results | There are many financial report data fields, so enough relevant fragments must be recalled while avoiding redundant interference |
relevanceThreshold | 0.75–0.85 | Filter low-relevance financial report fragments to avoid mixing non-game business financial data |
fileParseChunkSize | 1500–2000 characters | Adapt to long text segmentation of game financial reports, balancing context integrity and recall accuracy |
apiTimeout | 600 seconds | Financial report document parsing and multi-turn recall require longer processing time to avoid timeout interruptions |
promptTemplate | Must include "financial report term definitions" and "time range verification" fields | Clarify the statistical scope of terms such as MAU and ARPU, and constrain parameter validity for multi-turn dialogue |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, 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
- An error prompt about return format is returned when uploading financial report screenshots via the multimodal interface. The cause is failure to follow the platform's required image format and size limits. Only PNG and JPG formats are supported, and a single file must not exceed 10MB.
- After initiating a multi-turn financial report analysis dialogue, the interface continuously displays the retrieval status without a response. The cause is unreasonable recall parameter settings, which cause the system to load excessive redundant financial report fragments and extend processing time.
- The generated financial report analysis results do not comply with the preset structured format, with missing fields or type errors. The cause is failure to clearly specify constraint rules for structured output in the prompt, or failure to enable the corresponding format verification configuration.
How to Confirm Configuration is Complete
- Upload a game financial report document, check the parsed segmented content to confirm that the segment length adapts to the document structure.
- Initiate a dialogue containing multi-field queries, check whether the returned results include clear term definition explanations to verify the effectiveness of the prompt template.
- Simulate continuous multi-turn dialogue, check whether the context is truncated according to rules to confirm that the context window configuration is reasonable.
- Call the interface to conduct a multimodal image upload test, confirm that the returned results are normal, and verify the image format and size verification logic.
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.