Multi-turn Dialogue and Prompting for Building Construction

What This Category of Data Looks Like

Building construction financial report data primarily comes from project ledgers, monthly settlement statements, final completion accounts, and internal enterprise operating reports. Update cycles adjust based on project timelines and enterprise disclosure requirements. Detailed data for individual projects updates monthly. Annual consolidated financial reports are disclosed quarterly or annually. Most documents combine structured tables and detailed attachments, including fields such as project number, contract value, completed output value, material/labor/machinery costs, and management fees. Units mostly use ten thousand yuan, square meters, man-days and other segmented measurement standards.

Constraints Imposed by These Characteristics on Multi-turn Dialogue and Prompting

The multi-project nature of building construction financial reports requires multi-turn dialogue to retain context identifiers such as project number and cycle, to avoid mixing data across projects. There are many segmented fields with varying units, so prompts must clearly specify field extraction rules and unit verification logic. Individual project documents have large volume, so segmentation parameters for long text parsing must be adapted. Monthly updated detailed data requires the knowledge base synchronization frequency to match business rhythms. Dialogue must actively prompt the time boundaries of data.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`maxContext`	`8000–12000 token`	Building construction financial reports span multiple projects and fields, requiring sufficient context to prevent loss of critical project identifiers
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Final completion accounts for building construction projects often reach tens of megabytes in size, requiring sufficient time to complete parsing
`UPLOAD_FILE_MAX_SIZE`	`20 MB`	Meets upload requirements for large-sized documents such as building construction financial reports
`similarity threshold`	`0.75–0.85`	Building construction financial reports have segmented fields, requiring precise matching to prevent unrelated data from being included in the context
`retrieval count`	`Top 3–5 entries`	The volume of associated data for individual project financial reports is limited; excessive retrieval will disrupt generation logic
`PROMPT_TEMPLATE`	Explicitly specify project identifiers, field units, and time ranges, prioritize extracting core indicators such as completed output value and cost proportion	Building construction financial reports have many fields that are easily confused, requiring clear guidance for model output formatting

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by document format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

API calls for associated knowledge base and question answering return empty fields. The cause is incorrect configuration of binding parameters for knowledge_base_id and conversation_id, which prevents the interface from matching the corresponding knowledge base conversation.
Parsing times out for building construction financial report documents larger than 10 MB. The cause is failure to adjust the PARSE_FILE_TIMEOUT_SECONDS parameter to a duration suitable for large files. The default timeout duration is insufficient to complete parsing.
Response speed fails to meet expectations after prompt optimization. The cause is failure to limit the value ranges of retrieval count and maxContext. Excessive context and retrieved data slow down retrieval and generation processes.

How to Verify Proper Configuration

Upload a single building construction financial report document of approximately 15 MB, check whether parsing completes within the preset timeout period, and confirm that the PARSE_FILE_TIMEOUT_SECONDS value matches the current document size.
Launch multi-turn questions across projects, check whether the dialogue context retains the project number and time range from the first question, and confirm that the maxContext configuration can carry the required context.
Test retrieval results across different similarity threshold values, adjust until only documents strongly related to building construction financial report fields are returned, and confirm that the similarity threshold and retrieval count values meet business needs.
Call the API interface for the associated knowledge base, verify that the returned results include preset project fields and units, and confirm that the guidance logic of the prompt template takes effect.

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.