Conversation Logging and Auditing for Chemical Raw Material

What this category’s data looks like

Chemical raw material market data comes from public datasets of domestic bulk commodity spot exchanges, chemical industry monitoring institutions, and listed quotes from compliant traders. Updates post after each trading day closes, with the day’s settlement prices published at that time. Some active spot products update their bid and ask quotes hourly. Data is delivered in structured JSON or CSV format. Core fields include product code, origin, day’s settlement price, weekly average settlement price, monthly average settlement price, and listed volume. The price unit is uniformly yuan/ton. No percentage-based change annotation fields are included.

What constraints these characteristics impose on conversation logging and auditing

Scattered data sources and differing update frequencies require conversation logs to record the data source identifier and timestamp for each data call. This ensures broadcast content matches the latest data available when the user’s query is submitted. Fields include clear unit and category identifiers. Audits must verify the completeness of returned fields and consistency of units. This prevents unit errors or cross-category broadcast deviations. Some active products update bid data hourly. Conversation logs must also record the user’s query timestamp and the data’s update time. This ensures the timeliness of broadcast content. The number of chemical raw material product codes is large. Audits must verify the match between requested product codes and returned data. This prevents category mix-ups.

How to configure settings

Configuration Item	Recommended Setting	Rationale
`maxContext`	`12000 characters`	Chemical raw material data has many fields. Full product codes, data source information, and historical context must be retained to avoid truncation of critical content
`logRetentionDays`	`365 days`	Meets compliance retention requirements for financial and chemical industry audits
`apiRequestTimeout`	`15 seconds`	Aligns with typical response delay ranges for most bulk commodity data sources
`apiCallRetryCount`	`2 retries`	Addresses occasional temporary network fluctuations in bulk commodity data sources
`fieldValidationEnabled`	`Enabled`	Verifies field completeness and unit consistency of returned data
`dataSourceWhitelist`	`["chemical exchange API", "industry monitoring API"]`	Restricts calls to only compliant data sources to prevent unrelated data from being included

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 individual analysis. Testing on individual samples is recommended before finalizing settings.

Three Common Configuration Errors

Symptom: AI-reported yield rate data does not match actual market conditions, and no data source call records appear in the conversation log. Cause: dataSourceWhitelist is not configured correctly, leading to calls to non-compliant data sources, and fieldValidationEnabled is not enabled to verify data returned by data sources.
Symptom: When calling the "Get Conversation Record List" API, user queries cannot be accurately matched to corresponding AI replies, and the offset parameter does not filter data as expected. Cause: Unique conversationId and timestamp fields are not recorded in the conversation log, so the API cannot correctly associate interaction records. The offset parameter is used to skip a specified number of historical records, and this functionality was not properly configured.
Symptom: A 504 Gateway Timeout error appears in the conversation log, and no retry records are present. Cause: The apiCallRetryCount parameter is not set, or the set number of retries is insufficient. This means the retry logic is not triggered after the first request times out.

How to Confirm Proper Configuration

Submit a yield rate query request for a specified chemical raw material product. Check that the conversation log fully records the requested product code, data source call chain, returned fields, and corresponding units.
Call the "Get Conversation Record List" API. Verify that returned data includes conversationId, userQuery, aiResponse, timestamp, and dataSource fields. Confirm that the association between each record is correct, and that adjusting the offset parameter correctly filters historical records.
Temporarily adjust apiRequestTimeout to 5 seconds to simulate a data source delay scenario. Check that the retry logic is triggered and that retry counts and results are recorded in the log.
Confirm that the logRetentionDays configuration meets compliance requirements. Check that conversation logs from before the specified retention period are properly retained or cleaned up according to rules.

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.