Multi-turn Conversation and Prompting for Residential Development Financial Report Analysis

Residential development financial report data mainly comes from publicly disclosed annual and quarterly regular reports of real estate enterprises, as

What the data for this category looks like

Residential development financial report data mainly comes from publicly disclosed annual and quarterly regular reports of real estate enterprises, as well as project filing data from housing and construction authorities. Update rhythms fall into two categories: regular disclosure and real-time filing. Regular reports are released quarterly and annually, while filing data is synchronized to public channels monthly. Document structures usually include sections such as business overview, project development progress, land reserves, financial revenue and expenditure, cash flow analysis, and other core sections. Core fields include gross floor area for sale, unit construction and installation cost, total project investment amount, pre-sale revenue receipts, and others. Corresponding units include square meters, yuan per square meter, ten thousand yuan, and similar units.

What constraints these characteristics impose on multi-turn conversation and prompting

Since data sources include cross-cycle regular reports and real-time filing data, multi-turn conversations must retain context identifiers such as report period and project name specified by the user, to avoid confusion between statistical results from different time periods. Single financial report documents are lengthy, so the context window for multi-turn conversations must be limited to a reasonable length to prevent the model from processing redundant information. Financial report fields have clear associations between units and business logic. Prompts must explicitly require alignment of units and statistical caliber, otherwise data comparison errors are likely to occur. Additionally, users may query data for multiple projects at the same time; multi-turn conversations must guide users to clearly specify target projects to avoid confusion between financial report information of different entities.

How to set the configurations

Configuration ItemRecommended ValueRationale for This Setting
maxContextFirst 8000–12000 charactersSingle parsed residential development financial report text is lengthy; overly long context will cause model redundancy. This range covers core business and financial sections
UPLOAD_FILE_MAX_SIZE50 MBSingle residential development financial report PDF is usually 10–30 MB. This setting reserves sufficient margin for scenarios such as consolidated financial statements
PARSE_FILE_TIMEOUT_SECONDS300 secondsParsing large-volume financial report documents takes a long time; this duration covers complete parsing steps
recall countTop 6 entriesFinancial report data is divided into multiple business segments. Sufficient recall count covers core sections such as project development, finance, and cash flow
similarity threshold0.75–0.85Financial report terminology has high uniformity. This range avoids missing valid recall content while filtering irrelevant redundant paragraphs
interruptibleEnabledSupports concurrent processing of multi-turn conversation requests, avoiding waiting delays for consecutively sent requests

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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.

Three common mistakes

  • Phenomenon: A 503 error pops up when uploading residential development financial report files, and uploading to the knowledge base works normally. Cause: The UPLOAD_FILE_MAX_SIZE parameter is not adjusted. Single financial report files exceed the system's default limit, causing parsing requests to be blocked.
  • Phenomenon: When using a strict question-and-answer template, the project image address field in the knowledge base is retrieved, and "answer not found" is returned. Switching to other templates allows normal reply generation. Cause: The strict question-and-answer template only matches structured text content, and no text parsing rules for image addresses are configured, causing links to not be recognized as valid knowledge.
  • Phenomenon: When sending consecutive conversation requests via the API, subsequent requests must wait for the previous generation to complete. Cause: The interruptible parameter is not enabled. The system locks the conversation session by default, making it unable to process concurrent multi-turn requests.

How to confirm the configuration is correct

  • Upload the largest-sized single residential development financial report file, check if it can be parsed normally and generate replies, and verify that UPLOAD_FILE_MAX_SIZE matches the actual size of the uploaded file.
  • Enter a query containing specific financial report fields, check if the retrieved knowledge base paragraphs cover the corresponding business segments, and adjust recall count and similarity threshold to meet required ranges.
  • Send two consecutive conversation requests with a short interval, check if they can be processed in parallel, and confirm that the interruptible parameter is correctly configured.
  • Switch to the strict question-and-answer template, enter a query containing an image address, check if it can be recognized normally and generate a reply, and confirm that the image address parsing rule has been added.

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.