Conversation Logs and Auditing for Coke Yield Rates

Coke market and yield rate data comes from commodity market data sources. Real-time quotes are pushed every 15 minutes during trading days. A full

What this category's data looks like

Coke market and yield rate data comes from commodity market data sources. Real-time quotes are pushed every 15 minutes during trading days. A full daily summary document is generated after daily market close. The documents use a structured format, including fields such as contract code, trading date, opening price, highest price, lowest price, settlement price, closing price, price change amount, position volume, trading volume, and more. Units are uniformly yuan/ton. A single real-time data return includes 10 core fields. The daily summary document adds daily yield calculation results.

What constraints do these characteristics impose on the conversation logs and auditing workflow

First, high-frequency updated real-time data requires conversation logs to accurately record request time and data return time. This avoids market quotation errors caused by timestamp deviation. Second, structured data with multiple fields requires the auditing process to verify the existence and format correctness of required fields one by one. This prevents missing or format errors from affecting broadcast content. Third, the unified yuan/ton unit requires the auditing process to additionally verify the unit field. This avoids unit conversion exceptions. Fourth, the fixed structure of daily summary documents requires logs to distinguish between real-time market quotations and daily report requests. This avoids confusion between audit records of the two types of data.

How to set configurations

Configuration ItemRecommended ValueRationale
log_retention_days90 daysCompliance cycles for commodity market auditing typically cover a quarter, and 90 days aligns with standard audit requirements
chat_log_include_raw_responseEnabledCoke market data has many fields, so raw API return content must be retained for field-by-field auditing
max_audit_log_size500 MBMarket data accounts for a large proportion of single conversation logs, and 500 MB can store at least 1000 complete conversation audit records
api_request_timeout15 secondsTypical response latency of commodity data sources is under 10 seconds, and 15 seconds covers normal requests and network fluctuations
audit_required_fieldscontract code,trading date,settlement price,closing priceCore verification fields for coke yield rate broadcasts, only these fields need to be verified for existence and correct format during audits
log_leveldebugAPI request headers and return body details must be recorded to facilitate troubleshooting of abnormal market data issues

The parameter values provided on this page are general recommendations for establishing starting points for configurations. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.

Three common errors

  • Phenomenon: The model displayed in conversation logs does not match the configured LLM_MODEL parameter. Cause: When chat_log_include_raw_response is not enabled, the system only records simplified logs and does not synchronize complete model configuration information.
  • Phenomenon: The chain-of-thought process field is missing from conversation logs returned by API calls. Cause: The enable_thinking configuration item is not enabled, or audit log filtering rules block chain-of-thought related content.
  • Phenomenon: In an intranet deployment environment, audit logs cannot be written to the MySQL database, with the error 1045 Access denied for user. Cause: Correct intranet MySQL access permissions are not configured in database_connection_config, resulting in failed log writing.

How to confirm configurations are properly set

  • Access the system log management interface, check whether the configured value of log_retention_days matches the preset value, to verify that basic configurations have taken effect.
  • Initiate a coke market daily report conversation request, check whether complete logs include all fields specified by the audit_required_fields configuration item from the original API return, to verify that original data recording functions properly.
  • Wait 15 minutes and check the audit log list, confirm that the latest market data request has been fully recorded, to verify that the timeout configuration covers normal request processes.
  • Trigger a simulated log write failure scenario, check whether the system generates corresponding debug-level error logs, to verify that the log_level configuration is enabled.

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.