What the data for this category looks like
The data for rural commercial bank investment research knowledge bases comes primarily from internal credit approval archives, monthly operating reports of local agricultural business operators, regional industrial policy documents released by local financial regulatory authorities, county-level financial operation reports from the central bank, and archives of self-distributed wealth management products.
Update frequencies vary across data types: Internal credit data is updated daily. Agricultural business operator reports are updated quarterly. Regulatory policy documents are updated upon release.
There are two main document structure types. Structured table documents include fields such as unified social credit code, credit balance, and guarantee method, with units in ten thousand yuan. Policy documents include fields such as document number, release date, and applicable region, and use clause-based formatting as the main layout.
What constraints these characteristics impose on conversation logs and auditing
The multi-source and varied update rhythm characteristics of rural commercial bank investment research data require that conversation logs must be associated with the source identifier and update time of the corresponding data. This prevents confusion between different batches of policy or credit data.
The structured field characteristics require logs to record specific fields matched during user calls, such as credit subject code and industrial proportion value. This supports tracing data call logic during audits.
Since the data involves sensitive operating information of agricultural business operators and credit limits, conversation logs must comply with financial data security regulations. They require encrypted storage and restricted access permissions.
Additionally, regulatory requirements for audit retention periods mandate that log systems retain complete conversation records for at least six months, with no arbitrary deletions allowed.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 180 days | Complies with rural commercial bank financial regulatory audit retention requirements, covers quarterly and semi-annual audit cycles |
API_CHAT_ID_REQUIRED | Enabled | Mandates passing the chatId parameter when calling the API, prevents logs from lacking association identifiers, and resolves issues with difficult conversation tracing |
LOG_ENCRYPTION_ENABLE | Enabled | Encrypts stored conversation logs, complies with financial data security compliance requirements, and protects sensitive credit and customer information |
DELETE_CHAT_LOG_PERMISSION | Only administrators can perform operations | Restricts log deletion permissions for regular users and non-logged-in users, prevents loss of audit data |
CHAT_ID_BIND_PREFIX | Bind internal customer ID prefix | Associates with rural commercial bank internal customer identifiers, facilitates tracing conversation logs by business line |
PARSE_LOG_STORAGE_PATH | Compliant encrypted object storage path | Ensures log storage media comply with financial data security storage specifications, prevents data leaks |
The parameter values provided on this page are all conventional recommendations used to determine starting points for configurations. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common misconfigurations
- Symptom: After passing the chatId parameter when calling the API, the backend conversation log does not display this parameter, and no chatId field exists in the log. Cause: The
API_CHAT_ID_REQUIREDconfiguration item is not enabled. The system automatically ignores the incoming chatId parameter, resulting in logs being unable to associate conversation context. - Symptom: After a non-logged-in link user deletes a conversation, the corresponding conversation log stored in the backend is also deleted synchronously. Cause: The
DELETE_CHAT_LOG_PERMISSIONis not configured to only allow administrators to perform operations. Log deletion permissions are open to all users, resulting in loss of audit data. - Symptom: After initiating a model call, the log page returns a 500 status code with an error prompt indicating abnormal data acquisition. Cause: The storage key for
LOG_ENCRYPTION_ENABLEis not configured correctly, causing the system to fail to decrypt and read stored log data.
How to verify successful configuration
- An API call is made to initiate an investment research-related conversation with a valid chatId parameter. The backend log list is checked for the presence of the chatId field to verify configuration effectiveness.
- A conversation is initiated using a non-logged-in link, followed by a deletion attempt. The administrator backend is checked to confirm whether the conversation log is still retained, to verify permission configurations.
- After a model call is initiated, the log page is checked for normal data loading with no error prompts, to verify storage and encryption configurations.
- The access permissions of the log storage path are checked, confirming that only authorized roles can access encrypted log files, to verify storage compliance.
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.