What the data for this category looks like
Residential development category data mainly comes from real estate enterprise project management systems, financial accounting ledgers, and sales receipt systems. It is updated per project development milestones. Monthly aggregation generates single-project monthly revenue and expenditure data. Quarterly updates cover overall revenue calculation data. Single-project data consists of independent structured documents, including basic project identifiers, cost details per phase, periodic payment records, fund occupancy ledgers, and static payback period calculation fields. Field units use standard engineering and financial units such as ten thousand yuan, square meters, and months. No custom non-standard fields are included.
What constraints these characteristics impose on the conversation logs and auditing link
The independent single-project document feature requires conversation logs to bind a unique project ID to avoid cross-project data call confusion. The milestone-based update rhythm requires logs to record version identifiers when data is called, enabling traceability of original data for the corresponding period during audits. The multi-system source field feature requires logs to fully record the called field scope and data lineage, ensuring audit traceability of data sources. The mixed engineering and financial field feature requires logs to retain matching records of field units, avoiding audit deviations caused by unit conversion errors. Additionally, residential development projects typically have long cycles, so conversation logs must retain full-cycle call records to support cross-cycle audit tracing.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
SESSION_LOG_RETENTION_DAYS | 365 days | Residential development project cycles typically span 1–3 years, requiring full-cycle audit records |
LOG_DATA_SOURCE_TRACE_ENABLE | Enabled | Residential development data comes from multiple systems including project management, finance, and sales, requiring traceability to ensure data lineage is accessible |
MAX_SESSION_CONTEXT_LENGTH | 8000–12000 characters | Single-project data documents include multi-phase costs and payment details, requiring complete context retention for auditing |
PARSE_PROJECT_DATA_TIMEOUT | 300 seconds | Single-project data documents have many fields, requiring sufficient time to complete structured parsing and log recording |
AUDIT_LOG_EXPORT_FORMAT | CSV | Complies with general archiving formats for financial audits, facilitating subsequent audit verification |
LOG_FIELD_UNIT_VALIDATE | Enabled | Residential development data includes multiple unit types such as ten thousand yuan, square meters, and months, requiring validation to avoid unit matching errors |
The parameter values provided on this page are common 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
- Symptom: Viewing the details of a single-project conversation log returns a
500 Internal Server Error, and container logs showcannot read properties of undefined (reading 'project_id'). Cause: TheLOG_RECORD_FIELDS_WHITELISTconfiguration is not set, or the whitelist omits theproject_idfield, causing the log to fail to match the project identifier during loading. - Symptom: After uploading a monthly cost detail file for a residential development project, the large language model reply does not reference the uploaded data content. Cause: The configuration for automatically associating uploaded data with session context is not enabled, or the uploaded data is not bound to the current project ID.
- Symptom: Operator identity information cannot be recorded in conversation logs, making it impossible to trace specific operating subjects during audits. Cause: The channel's user identifier synchronization parameter is not configured, or the operation information log recording switch is not enabled.
How to Confirm the Configuration Is Correct
- Execute a single-project conversation log query, check whether the log includes preset core content such as project identifier, operation time, and called field scope, to confirm that the field whitelist configuration is effective.
- After uploading a single-project data file, trigger a large language model query for relevant data of the project, check whether the reply references detailed content from the uploaded file, to confirm that the context association configuration is effective.
- View the audit log module in the system backend, confirm that data source lineage information has been recorded, to verify that the data source traceability configuration is effective.
- Export the audit log, check whether the export format meets preset requirements, to confirm that the export format 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.