What Data for This Category Looks Like
Consumer building materials financial report data mainly comes from public periodic reports of listed companies disclosed by stock exchanges, industry operation data released by industry associations, and third-party public supply chain databases. There are two update cycles: listed company periodic reports are updated quarterly and annually on a fixed schedule, while industry monthly operation data is updated monthly. The length of a single complete annual report document varies widely, and includes modules such as consolidated financial statements, statement notes, and discussion and analysis of operating conditions. Content related to consumer building materials separately lists revenue, production capacity, shipment volume and other data for segmented business segments. Fields include operating revenue, operating costs, attributable net profit, production capacity scale, shipment volume, and most units use RMB 10,000, 10,000 square meters, 10,000 units, etc.
What Constraints Do These Characteristics Impose on Multi-turn Dialogue and Prompting
Dispersed data sources require multi-turn dialogue to support context association across data sources, and the current query data source type must be clearly specified in the prompt. Documents have a long length, and a single annual report may contain a large amount of segmented business data. The context window of multi-turn dialogue must be adapted to long text processing to avoid truncation of key information. There are differences in fields and units, and some fields correspond to exclusive units for different categories. The prompt must clearly require the model to attach corresponding units when returning data. Update cycles differ, and there are gaps between the update periods of periodic reports and monthly data. Multi-turn dialogue must support guiding logic for filtering data by time range to avoid returning outdated or mismatched information. In addition, there are many segmented categories of consumer building materials. The prompt must guide the model to clearly specify the specific segmented category being analyzed to avoid confusion of cross-category data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 12000–16000 token | Token count of a single consumer building materials financial report document mostly ranges from 8000–12000 token, reserve space for multi-turn dialogue context storage |
UPLOAD_FILE_MAX_SIZE | 50 MB | Single complete annual report PDF or DOCX file usually does not exceed 30 MB, reserve redundant space to support batch uploads |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Structured parsing of long documents requires longer processing time, avoid parsing failure due to timeout |
Recall Count | Top 8 entries | Segmented business data of consumer building materials financial reports is relatively scattered, need to recall enough relevant fragments to cover multi-turn query needs |
Similarity Threshold | 0.75 | Filter low-relevance fragments unrelated to consumer building materials financial reports, while retaining enough segmented business data for analysis |
prompt_template | Clearly specify query conditions in the order of consumer building materials segmented category, data source type, and time range; require returned data to include corresponding units | There are differences in fields and units for consumer building materials, clear conditions can prevent model from confusing data across different categories |
The parameter values provided on this page are common 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.
Three Common Mistakes
- Phenomenon: An error is returned when uploading any financial report file, but the text input dialogue function operates normally. Cause: The format whitelist for supported file parsing is not configured correctly, or the uploaded file size exceeds the
UPLOAD_FILE_MAX_SIZElimit. - Phenomenon: The
unAuthChaterror code is returned when calling the dialogue interface, and theapikeyparameter has been filled correctly. Cause: The calling permission for the corresponding model has not been enabled in the platform backend, or the valid period of theapikeyhas expired. - Phenomenon: The content returned by AI dialogue contains unescaped line breaks, causing subsequent JSON-formatted request parameter verification to fail. Cause: The prompt does not explicitly require the model to use escape characters to handle line breaks when returning content, or the returned results are not uniformly formatted for cleaning.
How to Confirm Proper Configuration
- Upload a consumer building materials-related financial report file, verify that the parsed content includes the category-specific business data fields.
- Initiate two or more consecutive dialogues, switch the queried segmented category and time range in sequence, verify that the returned content matches the current query conditions.
- Construct a test request containing line breaks, verify that the returned result can be normally parsed into JSON format without format errors.
- Check the binding status and valid period of the
apikey, confirm there are no permission or expiration issues.
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.