What the data for this category looks like
Auto parts investment research data mainly comes from internal enterprise BOM lists, supplier quotation documents, original equipment manufacturer (OEM) supporting agreements, industry technical standard documents, and patent literature. Data update rhythm is adjusted according to business nodes: basic supporting part data is updated synchronously when new vehicle models are approved for development, supplier quotations are updated on a monthly cycle, and industry standard documents are revised quarterly or annually. Documents include structured tables (with fields such as part number, supplier name, unit price, delivery lead time, etc.) and unstructured technical drawings, patent abstracts. Field units are mostly pieces, sets, kilograms, yuan per piece, days, etc.
What constraints these characteristics impose on the conversation logging and audit link
Structured tables account for a large proportion and have many fields. Conversation logs must fully record precise fields such as part numbers and supplier information associated with user queries, to avoid being unable to match queries and corresponding return results during audits. Data update frequencies vary widely. The audit link must associate data version identifiers, and logs must synchronously record the knowledge base version used during calls, to ensure that the data source state at that time can be restored during traceback. Unstructured technical drawings and patent documents have long text after parsing. Logs must record the parsed shard index and recall location, to prevent being unable to locate the original data source during audits. In addition, dynamic fields such as part unit prices and delivery lead times are prone to changes. Logs must retain field snapshots taken at the time of the call, to avoid being unable to verify the accuracy of responses at that time after subsequent data updates.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
LOG_ENABLE_AUDIT | Enabled | Auto parts investment research requires compliant auditing to meet industry regulatory requirements |
LOG_RETENTION_DAYS | 180 days | Meets the data retention period requirements for industry quarterly and annual audits |
AUDIT_FIELD_WHITELIST | ["part number", "supplier name", "unit price", "delivery lead time"] | Covers core investment research query fields, ensuring audits can focus on key business data |
PARSE_DOC_SPLIT_SIZE | 800–1200 characters | Adapts to the length of parts technical documents and patent text, retaining context integrity |
SESSION_LOG_MAX_SIZE | 200 MB | Reserves sufficient storage capacity to cover scenarios where a single session is associated with multiple drawings and quotation documents |
AUDIT_DATA_VERSION_TRACKING | Enabled | Adapts to the high-frequency update characteristics of parts data, ensuring the data source for each call can be fully traced back |
The parameter values provided on this page are all common recommended starting points for determining configurations. Actual values are affected by material formats, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common misconfigurations
- Symptom: An error
cannot read properties of undefined (reading 'xxx')pops up when viewing session log details. Cause: TheLOG_ENABLE_AUDITconfiguration is not enabled, causing log fields to not be initialized correctly, making it impossible to load detail page data. - Symptom: Uploaded auto parts quotation sheets do not appear in the conversation context, and statistical summary results do not include uploaded data. Cause: The
AUDIT_FIELD_WHITELISTconfiguration does not include core fields of the uploaded document, or thePARSE_DOC_SPLIT_SIZEsetting is too small, causing the uploaded document to be truncated and unable to be recalled to the conversation context. - Symptom: Only anonymous operation IDs are displayed in session logs, making it impossible to associate specific operating personnel. Cause: User identification collection configuration is not enabled, or internal account identifiers are not correctly mapped to log fields, making it impossible to trace the operating subject during audits.
How to confirm configurations are correctly set
- Enter the system log management page, enable the audit switch, initiate a conversation that includes a part number query, and check if the log fully records the query content, return results, and associated knowledge base version.
- Upload an auto parts quotation sheet, initiate a statistical summary request, check if the conversation context includes core fields of the uploaded document, and confirm that the data has participated in model inference.
- View the log detail page of any session, confirm that there are no errors of the type
cannot read properties of undefined, and that fields are fully displayed without missing values. - Export audit logs from the past 7 days, check if they include core investment research fields configured in the whitelist, and confirm that audit dimensions cover business requirements.
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.