What the Data for This Category Looks Like
Profit margin data for the decoration and renovation industry comes from internal enterprise ERP systems, material supplier quotation ledgers, project construction logs, and financial settlement reports. Data is centered on individual renovation projects. It includes fields such as project unique identifier, renovation sub-type, material purchase details, labor settlement milestones, payment collection cycle, and cost composition. Data updates follow the project accounting cycle. Updates usually occur monthly, or according to construction milestones before a single project is completed. Each data document corresponds to a complete project accounting cycle.
Constraints Imposed on Conversation Logs and Auditing
The multi-source, decentralized nature of decoration and renovation profit margin data requires conversation logs to fully record call links for different data sources. This allows auditing to trace the original source of each field. The data structure, divided by project and accounting cycle, requires logs to be bound to the project unique identifier and accounting cycle identifier. This prevents data confusion across projects and cycles. Multi-dimensional sub-fields require audit logs to support filtering by field dimension, while retaining complete field call context. This ensures accounting logic can be reproduced.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 90–180 days | The audit cycle for decoration and renovation projects typically covers the full construction and settlement period. Sufficient logs must be retained for cross-project tracing |
RECALL_COUNT | Top 6–10 entries | Decoration and renovation profit margin data involves multi-dimensional structured fields. A reasonable number of recalled entries balances log completeness and redundancy |
SIMILARITY_THRESHOLD | 0.75–0.85 | The decoration and renovation industry has exclusive cost terminology and project identifiers. Strict matching of knowledge base content is required to avoid calling unrelated data |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Decoration and renovation cost detail data usually links to multiple supplier ledgers and construction logs. Parsing takes a long time |
API_LOG_INCLUDE_FIELDS | project_id, Accounting Period, Cost Composition | Auditing requires focused tracking of project uniqueness, accounting time range, and core cost data. Irrelevant fields are filtered to simplify logs |
LOG_LEVEL | DEBUG | Full details of knowledge base calls and data splicing must be recorded to meet audit traceability requirements |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material formats, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: The calling model displayed in conversation logs does not match the configured
LLM_MODELparameter, and the optimized model linked to the knowledge base does not appear in the logs. Cause: TheENABLE_KNOWLEDGE_MODEL_LOGconfiguration item is not enabled, so logs from the knowledge base optimization stage are not captured. - Symptom:
Connection refusederrors appear in system logs, and the knowledge base cannot load decoration project cost data. Cause: The access address and port of the internal database are not correctly specified in deployment configurations, so the log collection link cannot connect to the data source. - Symptom: API call returned logs do not include the chain-of-thought process, making it impossible to verify the derivation logic of profit margin calculations. Cause: The
ENABLE_CHAIN_THINK_LOGconfiguration item is not enabled, so details of the reasoning link are not written to logs.
How to Verify Configurations Are Correctly Applied
- Navigate to the system log management interface, filter for the
project_idof a specified decoration project, and confirm whether the configured core fields are included in the logs. - Trigger a profit margin query request, and confirm that the calling model and configured parameters recorded in the logs match.
- Enable debug mode, trigger a query, and confirm whether complete reasoning link details are included in the logs.
- Check the access permissions and storage space of the log storage directory, and confirm that expired logs are automatically cleaned up according to the configured retention period.
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.