What the data for this category looks like
White goods financial report data mainly comes from domestic stock exchange disclosure platforms and official announcement pages of listed companies, covering periodic reports and temporary announcements of listed white goods enterprises. Data is updated regularly on a quarterly and annual basis, with temporary announcements updated synchronously when major operating events occur. A single financial report document includes consolidated balance sheets, income statements, cash flow statements, as well as content related to product revenue breakdowns, channel structures, and operating structures. Core fields include reporting period, enterprise entity, product category, revenue amount, sales volume data. The unit of amount is Renminbi yuan, and the unit of sales volume is units.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
The multiple detailed product categories, mixed structured and unstructured formats, regular updates plus temporary announcements of white goods financial reports impose multiple constraints on multi-turn dialogue and prompt configuration. First, there are many detailed product categories, so multi-turn dialogue needs to gradually guide users to clarify specific product categories to avoid generic responses. Second, the data includes both structured reports and unstructured analysis content, so prompts need to clearly distinguish query types and guide users to confirm the required data format. Third, regularly disclosed financial reports coexist with temporarily updated announcements, so prompts need to include constraints to prioritize the latest disclosed data, while supporting users to specify a specific reporting period. Finally, multiple numerical fields correspond to different units, so multi-turn dialogue needs to automatically recognize units or prompt users to confirm a unified standard.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–16000 characters | Adapts to the text length of a single white goods financial report, retains contextual information about product categories and reporting periods in multi-turn dialogue, and avoids losing key conversation nodes |
UPLOAD_FILE_MAX_SIZE | 20 MB | A single quarterly financial report in PDF format typically does not exceed 10 MB. Reserve redundant space to support simultaneous uploads of multiple financial reports and cover small-volume temporary announcement documents |
system_prompt_template | Please, based on the white goods financial report data provided by the user, gradually clarify the specific product category and reporting period, prioritize using the latest disclosed structured report data and unstructured analysis content, and annotate the data source and reporting period in the response | Adapts to the multi-turn guidance requirements of white goods financial reports, clarifies data priority and output format, and reduces generic responses |
temperature | 0.2–0.4 | Financial report analysis requires rigor and accuracy. A lower temperature value reduces the randomness of generated content, avoiding fabrication of product data or revenue figures not mentioned in the financial reports |
recall_top_k | Top 3–5 entries | White goods financial reports include multiple categories of detailed product data. Too many recalled entries will cause context overload, while too few will fail to cover required product category and reporting period information |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | PDF-format financial reports may contain complex nested tables, which require a long parsing time to avoid file parsing failure caused by mid-process timeout |
The parameter values provided on this page are conventional recommendations used as a starting point 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 settings.
Three common mistakes
- Calling the
/api/v1/chat/completionsAPI to upload a financial report file and receiving a413 Request Entity Too Largeerror. The cause is that theUPLOAD_FILE_MAX_SIZEparameter is not correctly configured, and the file size exceeds the system's preset limit. - Calling the
/api/v1/chat/completionsAPI with a custom prompt that does not take effect, resulting in generated content that does not meet financial report analysis requirements. The cause is that the exclusive prompt is not passed in thesystem_promptfield of the request body, or the default system prompt configuration is not overwritten. - Subsequent questions in multi-turn dialogue fail to associate the previously clarified white goods product category, returning generic financial report analysis content. The cause is that the
maxContextparameter is not set large enough, causing the context window to be insufficient to retain key information from earlier conversations.
How to confirm the configuration is correct
- Upload a single white goods financial report PDF that conforms to common report sizes, check the API return status code, and confirm that the
UPLOAD_FILE_MAX_SIZEconfiguration meets requirements. - Initiate two rounds of dialogue: specify a certain type of white goods product and reporting period in the first round, then ask for the revenue data of that product in the second round. Check that the generated content associates with the information from the first round, and confirm that the context retention configuration is effective.
- Pass a custom financial report analysis prompt when calling the API, check that the generated content conforms to the prompt requirements, and confirm that the prompt parameter configuration is correct.
- Use the API Key of a scenario-specific application to initiate a request, check that the generated content focuses on white goods financial report analysis and is not generic question-and-answer content, and confirm that the application identifier configuration is correct.
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.