Multi-turn Dialogue and Prompting for Residential

Data Overview

Residential construction marketing content data is primarily sourced from project approval documents, construction phase progress logs, published unit and supporting promotional materials, and compiled high-frequency customer inquiries. Update frequency aligns with project phases, with on-demand updates across nodes from land preparation to pre-sale and pre-delivery. Document structure includes structured fields and unstructured assets. Structured fields cover project name, location coordinates, unit floor area, and reference unit price, with units of square meters and yuan per square meter respectively. Unstructured assets include unit floor plans, on-site construction photos, and surrounding amenity introduction documents.

Constraints for Multi-turn Dialogue and Prompting

The multi-dimensionality and unit differences of structured fields require clear prompt definitions and units during multi-turn dialogue. This avoids confusing references to "area" or "unit price" across conversation turns. The mixed graphic and text nature of unstructured assets requires configuring association rules for asset calls in the dialogue flow. This ensures each reply matches the latest materials for the corresponding project. The phased update rhythm of projects requires that multi-turn dialogue context caching support dynamic refresh of associated project data. This prevents returning outdated progress or pricing information. The concentrated high-frequency inquiry scenarios require preset standardized question-and-answer templates in prompts, while reserving interfaces for expanding new node information.

Recommended Configuration Settings

Configuration Item	Recommended Value Range	Rationale
`maxContext`	8000–12000 characters	Residential construction marketing content includes long texts such as unit descriptions and progress logs. This range adapts to multi-turn dialogue context length and avoids truncating critical information
`contextRecallCount`	Top 6 entries	Inquiries for residential construction projects mostly relate to specific project fields. Retaining a small amount of context covers core associated information and avoids redundant interference
`promptTemplate`	Preset templates by project node	Residential construction marketing content updates with project phases. Preset node templates enable quick adaptation to consultation scenarios across different phases, without adjusting prompts each time
`PARSE_FILE_TIMEOUT_SECONDS`	300 seconds	Construction drawings and material documents for residential construction are typically large in size. Extending the parsing timeout allows complete reading of these assets
`workflowContextKeep`	Isolate by project ID	Consultation data for different residential construction projects is stored independently. This prevents cross-project context confusion and ensures multi-turn dialogue accuracy
`similarityThreshold`	0.75–0.85	Matches structured fields and unstructured assets for residential construction projects, avoiding recall of irrelevant content with low matching scores

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

Three Common Configuration Mistakes

Issue: API call returns a missing parameter error when creating a workflow. Cause: The request body does not correctly carry the workflowId and contextId fields. Workflows for residential construction projects must bind specific project IDs. Missing these fields prevents matching the corresponding configuration.
Issue: After deployment, model calls show a token of "fastgpt" in logs. Cause: The default token placeholder was not correctly replaced in API configuration. Model calls for residential construction marketing scenarios require binding a dedicated token. Failure to update the default placeholder causes token verification failure.
Issue: Multiple visits to the same project ID result in inconsistent multi-turn dialogue context turns. Cause: The retention rule for workflowContextKeep was not uniformly configured in the workflow. Some nodes set short context caching, leading to context loss or redundancy across cross-node calls.

How to Verify Correct Configuration

Initiate a test dialogue, enter an inquiry about the unit floor area of a residential construction project. Verify that the reply includes correct units and field information, confirming that the preset content of promptTemplate takes effect.
Submit a workflow request via the API, check if the returned result includes the taskId field. Confirm that API configuration parameters were correctly passed.
Review model call logs, confirm that the token field matches the configured dedicated token. Verify that the token configuration is error-free.
Initiate two conversations with the same project ID, separated by a long interval. Check if the context of the two replies matches, confirming that the isolation rule for workflowContextKeep 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.