What the Data for This Category Looks Like
Commercial real estate investment research data sources include project investment contracts, business district passenger flow ledgers, rental price lists, industry policy documents, and quarterly operation reports. Update rhythms vary significantly: contracts and policy documents use static updates, passenger flow and rental ledgers are updated daily or in real time, and quarterly reports follow cycle-based updates. Most document structures are multi-field structured tables, containing fields such as project ID, rental unit price (yuan/㎡/day), passenger flow trips, contract term, business district radiation radius, and more. Fields have clear attached units, and a single document can reach thousands of characters in length.
Constraints Imposed on Conversation Logs and Auditing
The multi-source data with highly varied update frequencies requires conversation logs to accurately associate each data reference node and update time. The auditing link must trace data call chains to prevent use of expired information. Structured documents with multiple fields and specific units require logs to record field formats and unit verification results, to avoid investment research deviations caused by unit confusion. The long document characteristic requires logs to support segmented storage and full context recall, to prevent truncation that loses key project information.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Commercial real estate investment research documents are mostly long texts, requiring sufficient context to correlate cross-project comparison data |
LOG_RETENTION_DAYS | 180 days | Meets long-term tracing requirements for investment research industry compliance auditing |
PARSE_FIELD_VALIDATE | Enabled | Commercial real estate data includes specific units such as yuan/㎡/day and trips, requiring verification of field format and unit consistency |
MAX_CHAT_HISTORY_LENGTH | First 10 rounds | Investment research conversations mostly use multi-round progressive analysis, requiring sufficient history to maintain context coherence |
LOG_STORAGE_SIZE_LIMIT | 500 GB | Single-project investment research data volume is large, requiring a reasonable storage upper limit to avoid resource exhaustion |
AUDIT_LOG_INCLUDE_SOURCE | Enabled | Full recording of data sources and call times is required to meet audit tracing needs |
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 against your own samples before finalizing.
Three Common Misconfigurations
- Phenomenon: The model fails to correlate the previous round's project rental data during multi-round investment research conversations. Cause: The
maxContextconfiguration value is set too low, failing to retain sufficiently long context information. For the open source version v4.8.11 and later, additional verification of the context serialization format is required. - Phenomenon: Conversation logs are automatically deleted in local deployment versions. Cause: The
LOG_RETENTION_DAYSconfiguration is incorrectly set to an excessively short number of days, or the persistent storage path is not configured. - Phenomenon: Deserialization fails when calling historical records via code. Cause: The
LOG_STORAGE_ENCODEconfiguration is not enabled, causing a mismatch between the log storage format and call parsing rules.
How to Confirm Configuration Is Complete
- Enter the conversation log management interface, check whether the context of the last 10 conversations contains complete project data fields and unit information.
- Check the actual effective value of the
LOG_RETENTION_DAYSconfiguration item to confirm it matches the preset value. - Initiate an investment research conversation involving cross-project data comparison, verify that the model can correctly correlate parameter information from the previous round.
- View the audit log list, confirm that each record includes a data source field and verification results.
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.