What This Category's Data Looks Like
Feed industry investment research data covers four categories: raw material market trends, breeding end data, industry policies and public research reports. Data sources include public data from industry associations, futures exchange market data, public reports from third-party research institutions, and internal production records of feed enterprises. Spot market data is updated daily. Futures market data is updated in real time during trading days. Breeding stock data is updated monthly. Industry policies and research reports are released irregularly. Structured documents have clear fields and numerical units. Unstructured research reports include data citation marks and source descriptions.
Constraints Imposed on Conversation Logging and Auditing
Feed industry investment research data has multiple sources, varied update rhythms and structured characteristics, which create multiple constraints for conversation logging and auditing. First, all data sources must have complete call identifiers recorded in logs to ensure audit traceability. Second, update frequencies vary significantly. Logs must record the data source version or release time when a question-and-answer is triggered, to avoid referencing expired information. Third, structured data has clear numerical units. Logs must capture the unit fields used in questions and answers, to prevent unit conversion errors from affecting investment research conclusions. Citations in unstructured research reports must be linked to corresponding content in logs to meet compliance audit requirements.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 365 days | Feed industry investment research scenarios require annual compliance audits, so question-and-answer and operation records must be retained for at least one year |
ENABLE_THINKING | false | Feed industry investment research audits only need to record question-and-answer results and traceability information. No intermediate thinking process needs to be displayed, to avoid log redundancy |
LOG_CAPTURE_USER | true | User identifiers initiating questions and answers must be recorded in logs to meet the needs of post operation traceability and responsibility identification |
LOG_CAPTURE_SOURCE | true | Feed industry investment research data has multiple sources. Each question-and-answer call's data source identifier must be linked in logs to facilitate compliance audits and error traceability |
LOG_MAX_CONTENT_LENGTH | 2000 characters | Feed industry investment research questions and answers usually contain multiple sets of raw material or breeding data. The limit must accommodate complete results and traceability information to avoid truncating critical content |
AUDIT_AUTO_TRIGGER | 00:00 daily | Aligns with the monthly/annual audit cycle of the feed industry. Automatically summarize the previous day's logs daily to facilitate regular verification |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Phenomenon: After enabling the thinking process configuration, no thinking process content is displayed in the conversation history record. Cause: The parameter for logging thinking processes was not enabled simultaneously, or the front-end display rules filter intermediate step fields by default.
- Phenomenon: The user identity initiating the question and answer cannot be associated in the conversation log. Cause: The
LOG_CAPTURE_USERconfiguration item was not enabled, or a valid user identifier field was not passed when calling the interface. - Phenomenon: Automated extraction of inference time data for individual questions and answers is not possible. Cause: The
LOG_CAPTURE_DURATIONparameter was not enabled, so the log did not record the start and end timestamps of the question and answer, making time calculation impossible.
How to Confirm Configuration Is Successful
- Initiate a test question and answer, check the background log details, and confirm that the data source identifier, user identifier and question-and-answer time-consuming fields have been captured.
- Manually trigger an audit summary task, and verify that a log summary file containing the specified fields is generated.
- Test deleting a single conversation record, and confirm that the record is correctly removed or marked in both the front-end list and background logs.
- Adjust the log retention duration parameter, and verify that the retention period prompt on the background log management page is updated synchronously.
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.