What the data for this category looks like
Air governance project revenue yield and daily market trend data is sourced from IoT monitoring terminals at project sites, internal enterprise financial accounting systems, and local environmental protection regulatory subsidy announcement platforms. Data is updated such that full daily reports for the previous day are generated every early morning, with monthly summaries and annual cumulative operational data compiled on a monthly basis. Each daily report document includes fields such as project unique ID, monitoring date, pollutant emission reduction amount, unit emission reduction subsidy standard, daily operating cost, actual calculated revenue, and regulatory verification status. Field units include quantitative identifiers such as tons and yuan, with no additional percentage-based statistical items.
What constraints do these characteristics impose on the "conversation logs and auditing" link
As data sources are scattered across three types of nodes: IoT devices, financial systems, and regulatory platforms, conversation logs must fully record the context of each large model call, the pull link and verification results of multi-source data, to ensure that the complete accounting process can be traced during audits. The daily update feature requires that log timestamps must strictly align with the daily report generation time period, to avoid audit errors caused by mixed cross-cycle data. Fields include quantitative values in both physical and financial dimensions. During audits, it is necessary to verify the consistency of field units and the integrity of the calculation chain, to prevent unit conversion errors or calculation deviations. Sufficient historical logs must also be retained to cover the audit cycle required by regulatory requirements.
How to configure
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
logRetentionDays | 365 days | Matches the minimum retention requirement for operational data audits from environmental protection regulatory authorities, covering the full annual project revenue accounting cycle |
exportLogEnabled | Enabled | Supports exporting full conversation and data pull logs in accordance with regulatory requirements, for offline auditing and compliance reporting |
maxContext | 8000–12000 characters | Air governance daily report data has many fields, sufficient context must be retained to associate multi-source data call records and accounting logic |
dataSourceSyncInterval | 1440 minutes | Aligns with the daily update rhythm of air governance daily reports, ensuring that the data source recorded in the logs is the latest daily report data generated that day |
auditLogFieldFilter | Only retain project ID, call time, data source, accounting result | Filters irrelevant fields, simplifies the audit process, and focuses on core log content related to revenue accounting |
apiRequestTimeout | 600 seconds | Multi-source data pull involves IoT devices, financial systems, and regulatory platforms, so sufficient request response time must be reserved |
The parameter values provided on this page are common recommended 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 configuration mistakes
- Phenomenon: Insufficient conversation log retention duration, making cross-quarter audit verification impossible. Cause:
logRetentionDaysis set to a value less than 365 days, failing to match the retention cycle required by regulations. - Phenomenon:
connection refusederrors appear in logs, making it impossible to pull environmental monitoring or financial data sources. Cause: Platform IP whitelists are not added to data source configurations, preventing the platform from accessing third-party data interfaces. - Phenomenon: Complete daily report data fails to load when viewing historical conversation records. Cause:
maxContextis set too small, resulting in historical context being truncated and unable to associate complete multi-source data records.
How to confirm the configuration is correctly set up
- Log in to the platform's system configuration page and verify that the value of
logRetentionDaysmeets the regulatory retention requirements of the local jurisdiction. - Initiate a daily report query conversation for an air governance project, and check whether the pull time and source identifier of multi-source data are fully recorded in the conversation logs.
- Attempt to export the conversation logs from the most recent full calendar day, and confirm that the exported file includes all configured core audit fields.
- Simulate a data source connection exception scenario, initiate a data pull request, and check whether the corresponding error records are correctly generated in the logs.
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.