What does the data for this category look like
Data sources for this category include public securities research reports, internal investment research minutes, regulatory policy documents, and real-time market data APIs. Update cadences cover real-time market pushes, daily research report updates, and monthly internal document archiving. Document structures include structured fields such as ticker code, publishing institution, and rating level, plus unstructured text such as core logic and data deduction processes. Document length varies widely, from hundreds-of-word short comments to tens of thousands-of-word in-depth reports. Field units correspond to standardized identifiers like ticker code, rating level, and release date.
What constraints do these characteristics impose on the conversation logging and auditing link
The multi-source, multi-update cadence of investment research data requires conversation logs to fully record the data source version of each call, referenced document fragments, and call timestamps. This ensures compliant data from corresponding time points can be traced during audits. The wide range of document lengths requires logs to support filtering log entries by character length and document type. This avoids storage and retrieval efficiency issues caused by overly large single log entries. The mixed structured and unstructured document structure requires log fields to cover both structured identifiers and unstructured text content. This meets needs for precise auditing and full-text tracing. Additionally, compliance requirements for investment research scenarios mandate mandatory retention of call parameters, generation logic, and final replies for the entire conversation chain. Key information from intermediate recall and reranking links cannot be omitted.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
LOG_ENABLE_FULL_TRACE | Enabled | Investment research scenarios require full tracing of the entire conversation chain, including every detail of recall, reranking, and generation, to meet audit tracing requirements |
LOG_STORAGE_RETENTION_DAYS | 180 days | Matches the standard retention period for compliance audits in the financial industry, covering quarterly and annual compliance inspection needs |
LOG_QUERY_MAX_RETURN | Top 1000 entries | Limits the number of returned entries for a single batch log query, avoiding interface load timeouts caused by large log volumes in investment research scenarios |
LOG_FIELD_INCLUDE | Include call parameters, document references, reply content | Ensures audits cover key information across the entire conversation process, and does not omit data sources and generation basis |
MONGO_LOG_COLLECTION_PREFIX | Investment Research Service_Logs_ | Divides log storage collections by business module, facilitating subsequent storage management and precise retrieval |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: No corresponding records appear in the MongoDB collection when calling the conversation log query interface. Causes: The
LOG_ENABLE_MONGO_STORAGEconfiguration is not enabled, or the configured database read/write permissions are insufficient, preventing logs from being written. - Phenomenon: The conversation details page only displays basic interactive text between the user and assistant, and does not show internal details such as document references and call parameters. Causes: The
LOG_FIELD_INCLUDEconfiguration is not set to include internal link fields, and only minimal interactive content is retained. - Phenomenon: Timeout errors occur when batch querying conversation logs. Causes: The number of returned entries for
LOG_QUERY_MAX_RETURNis not limited, or no index is created for the log collection, leading to low retrieval efficiency.
How to Confirm Configuration Is Successful
- Call the conversation log query interface, verify that the returned results include fields such as
call_params,document_refs,reply_content, to confirm that the log field configuration is correct. - Log in to the corresponding database management interface, check that the corresponding log collection contains conversation log entries from the past 7 days, to confirm that the storage configuration is effective.
- Initiate an investment research-related conversation, check whether the conversation details page displays internal information such as document references and call parameters, to confirm that full-link logging is enabled.
- Adjust the log retention period configuration, verify that the expired log cleanup logic matches the expected settings.
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.