Multi-turn Dialogue and Prompt Engineering for Consumer

What Data for This Category Looks Like

Data for consumer building materials primarily comes from brand supplier factory ledgers, project supply lists filed with regional housing and urban-rural development authorities, bidding announcement documents, and third-party testing institution reports. Data update cycles fall into three categories: factory ledgers are updated weekly, project filing information is synced in real time with project progress, and bidding announcements are updated monthly.

A single due diligence document typically includes fields such as project subject, building material category, specification model, unit price, supply cycle, testing report number, supplier qualification, and more. Units include meters, square meters, kilograms, sets, and others. Some fields contain unique identifiers combining letters and numbers.

What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering

Consumer building materials data is multi-source heterogeneous with varying update cycles. This requires clear call priority for different source data during multi-turn dialogue, to avoid confusion between real-time filing information and historical factory data.

Fields include multiple unit types and unique identifiers. Multi-turn context must retain key identifiers such as project name and testing report number, to ensure subsequent follow-up questions can accurately match corresponding building material entries.

Single due diligence documents have lengthy content. Prompts must limit the length of context recall, to avoid redundant information interfering with core queries.

Some fields require cross-source verification. Multi-turn dialogue must support interactive logic for gradually adding verification conditions.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`maxContext`	`8000–12000 characters`	A single consumer building materials due diligence document contains dozens of material entries. Multi-turn dialogue needs to retain 3-5 rounds of core context. This range covers key information while avoiding redundant interference
`recallTopK`	`Top 6–8 entries`	The consumer building material category has many subdivisions. Excessive recall leads to information overload. This range covers supply and testing data for commonly used building materials
`UPLOAD_FILE_MAX_SIZE`	`500 MB`	A single consumer building materials due diligence report may include multiple testing reports and bidding documents. The 500 MB limit covers file upload requirements for most scenarios
`systemPromptTemplate`	`Match corresponding data by project name and building material specification, retain project numbers and testing report numbers mentioned in the context, prioritize real-time filing data`	Consumer building materials due diligence requires accurate matching of project and material information. Context identifiers prevent cross-project matching errors. Prioritizing real-time data ensures the timeliness of due diligence results
`chatTimeout`	`120 seconds`	Cross-source verification of consumer building materials data requires retrieving multiple documents. 120 seconds covers the execution duration of most verification logic
`similarityThreshold`	`0.75–0.85`	There are similar expressions for consumer building material specification models. This threshold filters low-match irrelevant entries and retains accurately matched results

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. It is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

Issue: The /api/v1/chat/completions interface returns a 413 Request Entity Too Large error when uploading consumer building materials due diligence files. Cause: The UPLOAD_FILE_MAX_SIZE configuration is not set to match the file size limit, exceeding the interface's preset limit.
Issue: Subsequent follow-up questions in multi-turn dialogue cannot associate previously mentioned project numbers, and returned results are unrelated to the previous query. Cause: The maxContext parameter is not correctly configured to retain multi-turn context, or recallTopK is set too low, resulting in core context not being recalled.
Issue: Sessions initiated using the same global API Key cannot load specified consumer building material knowledge base data, returning a 404 Not Found error. Cause: The appId field is not included in the request parameters, causing the session to bind to the default application and unable to match the target knowledge base's building material data.

How to Verify Configuration is Successfully Applied

Call the /api/v1/chat/completions interface with test consumer building material project names and material specifications. Check if the returned results include the project numbers mentioned in the context to confirm that the context retention configuration is effective.
Upload a test file that conforms to the UPLOAD_FILE_MAX_SIZE configuration. Check if the interface returns a successful status code to confirm that the file upload configuration is effective.
Customize a system prompt and pass the systemPrompt parameter. Check if the returned results include specified exclusive fields such as testing report numbers and supply cycles to confirm that the prompt configuration is effective.
Initiate sessions with request parameters carrying different appId values. Check if the system can match the consumer building material knowledge base data under the corresponding application to confirm that the multi-application session configuration is effective.

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.