What This Category's Data Looks Like
Building construction investment research data comes from multiple sources: engineering quota standards released by housing and urban-rural development authorities, public bidding project documents, monthly construction logs from construction units, price ledgers from building material industry associations, and technical descriptions from design drawings. Data update frequencies vary significantly: building material prices are updated weekly or monthly, engineering quotas are updated quarterly or annually, and bidding projects are updated in real time alongside project progress. Document structures include fixed fields: sub-item code, construction unit, project ID, start date, pricing unit (such as yuan/cubic meter, man-day, ton), budget amount, and others. Individual document lengths range from hundreds of words to tens of thousands of words. Some text description documents from design drawings have particularly long lengths.
How These Data Characteristics Impact Conversation Logs and Auditing
The unique characteristics of building construction investment research data impose clear constraints on conversation logs and auditing: First, the data includes unique identifier fields such as project ID and sub-item code. Log systems must associate these fields to enable precise tracing of specific projects. Second, the varied update frequencies require logs to record the data source version at the time of question answering. This prevents data discrepancies during cross-version audits. Third, the wide range of document lengths requires log systems to support full storage of long-text contexts. This prevents key information from being truncated. Fourth, the multi-dimensional business fields require audit interfaces to support log filtering by custom dimensions such as construction unit and construction location. This improves audit troubleshooting efficiency.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 90 days | The standard audit tracing cycle for building construction investment research is one quarter to six months. 90 days covers most compliance requirements |
AUDIT_LOG_FIELDS | ["project_id", "sub_code", "quote_unit", "query_time"] | Building construction data includes unique business fields such as project ID, sub-item code, and pricing unit. These must be included in audit dimensions |
MAX_LOG_CONTENT_LENGTH | 8000 characters | Bidding documents and construction logs for building construction projects have long text. Full storage of question-and-answer contexts is required to avoid truncation |
USER_IDENTIFIER_FIELD | user_external_id | This must be linked to the internal project handler ID of the enterprise to enable precise operation auditing and responsibility tracing |
LOG_SAMPLING_RATE | 100% | Investment research question-and-answer sessions involve project pricing and compliance reviews. Full log recording is required for subsequent audits |
PROXY_LOG_FILTER | exclude:["thinking_process"] | When a proxy is configured, filter the thinking process field to avoid non-question-and-answer content being mixed into historical conversation records |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Each scenario requires specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: No question-and-answer reasoning time field appears in conversation logs. Cause: The
ENABLE_REASONING_TIME_LOGconfiguration item is not enabled, or its value is set tofalse. - Symptom: Conversation logs cannot be linked to specific project handlers. Cause: The
USER_IDENTIFIER_FIELDis not configured to use the enterprise's internal project ID field, and only the default anonymous user identifier is used. - Symptom: Bulk deletion of conversation logs for a specified project is unavailable. Cause: The
AUDIT_LOG_FILTERis not configured with a project ID filtering rule, and only global log cleanup is supported.
How to Verify Successful Configuration
- Initiate a test question-and-answer session for building construction sub-item pricing, then access the log details page to confirm the configured audit fields are present.
- Access the log management page to verify log retention duration matches the preset configuration, with no premature log cleanup.
- Attempt to bulk filter logs by a specified project ID to confirm corresponding question-and-answer records can be accurately located.
- After configuring the proxy, initiate a test question-and-answer session to confirm the thinking process is displayed or hidden in logs as expected.
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.