What the data for this category looks like
Duty-free investment research data sources include four categories: public policy documents, customs supervision and clearance data, duty-free store operation reports, and brand supplier agreements. Public policy documents are released by regulatory authorities and updated irregularly along with policy adjustments. Operation reports are updated on a daily, weekly, or monthly cycle, and include content such as store identifiers, statistical cycles, total passenger flow, and revenue by category. Supplier agreements are updated per cooperation cycle, and include information such as cooperating brands, supplied categories, and supply price ranges. Document structures fall into three categories: clause-based, tabular, and agreement-based. Field units include CNY, passenger trips, cycle identifiers, and there is no unified fixed format.
What constraints these characteristics impose on conversation logs and auditing
Dispersed data sources containing both public and private content require conversation logs to clearly mark the source type of knowledge base content, and audit trails to distinguish between public policy calls and internal operation data calls. Large gaps in update rhythms, with policy data having no fixed update cycle, require audit logs to record the latest update time of knowledge base documents, to ensure that content called during conversations is the current valid version. Diverse fields and document structures require logs to fully retain original field names and corresponding values, to avoid unit or content confusion during audits. Multi-round investment research conversations require comparison of multiple data types, requiring logs to fully preserve the context interaction chain, to ensure that the call basis for each round of analysis can be traced back.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
enableAuditLog | true | Investment research scenarios require complete retention of conversation and knowledge base call chains, so the audit log function must be enabled |
logRetentionDays | 180 days | Duty-free investment research data includes policy and operation documents. Audits need to retain logs for at least one full policy adjustment cycle; 180 days covers quarterly and semi-annual investment research analysis cycles |
maxContext | First 8 rounds | Duty-free investment research conversations are mostly multi-round policy comparisons and data trend queries. 8 rounds of context can cover the complete investment research analysis chain and avoid context loss |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Duty-free operation report documents usually contain data from multiple stores and multiple cycles, which take a long time to parse. 600 seconds avoids timeout errors when parsing large documents |
similarityThreshold | 0.75 | Investment research scenarios require precise matching of policies and operation data. A similarity threshold of 0.75 can filter low-correlation recall results and ensure that knowledge base content called in audit logs is valid |
recallTopK | Top 5 results | Duty-free investment research needs to balance multi-dimensional data comparisons. 5 recall results can cover multiple types of information such as policies, revenue, and passenger flow, meeting audit traceability requirements |
The parameter values provided on this page are all conventional recommendations used to determine the starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common configuration mistakes
- Phenomenon: After setting
maxContextto 6, the conversation model cannot associate the previous round's interaction question and result, and multi-round investment research analysis cannot continue. Cause: The context recall configuration is not enabled correctly, or the system does not synchronize historical conversation logs to the model context window, resulting in a disconnect between the audit log and the model call chain. - Phenomenon: After deploying version v4.8.11 or higher, the results generated by calling the code running node cannot be parsed into callable variables on the client front end. Cause: The audit log enables full-link data capture by default, and the code running results are appended to the log serialization process, causing the return format to not match the client's preset parsing rules.
- Phenomenon: For a locally deployed investment research application, conversation logs are automatically cleared after the default period, making it impossible to trace historical investment research interactions. Cause: The default configuration of
logRetentionDaysis not adjusted, and the default retention period does not adapt to the long-term audit requirements of investment research scenarios.
How to confirm the configuration is complete
- Access the system configuration interface. Check the enabled status of
enableAuditLog. Confirm the switch is in the on position. - Initiate two consecutive investment research conversations. First query a certain outlying island duty-free policy, then ask about the applicable areas of that policy. View the conversation log details. Confirm that the context of the two rounds of interaction has been fully recorded.
- Upload a duty-free operation report containing multi-store data. Wait for the parsing task to complete. View the task log. Confirm that no timeout errors occur, and the parsing time does not exceed the preset threshold.
- Enter the variable configuration page of the code running node. Confirm that there is a mapping option for historical conversation records, which can be bound as input parameters for code running.
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.