What the Data for This Category Looks Like
Commodity trading policy and regulatory basis data is mainly sourced from official announcements of the National Development and Reform Commission, Ministry of Commerce, and General Administration of Customs, regulatory rules from local commercial authorities, and policy compilations from industry associations. Data is synchronized to the knowledge base within 24 hours after a new policy is released. Most documents follow a clause-based structure, including fields such as policy name, document number, issuing authority, effective date, applicable category, trade method, and regulatory requirements. Some files include specific penalties and implementation procedures.
Constraints on Multi-turn Dialogue and Prompt Engineering
The clause-based long document structure can easily cause the multi-turn dialogue context window to overflow, so irrelevant content must be accurately truncated to avoid interfering with core Q&A. The segmented nature of policy fields requires gradually clarifying the user's specific category, trade method and other conditions during multi-turn dialogue, otherwise retrieval results will be too broad. Rapidly updated policy data requires retaining key context such as effective time during multi-turn dialogue to avoid policy timing deviations in cross-turn Q&A. Differences in document numbers and applicable scopes of cross-departmental policies also require prompts to guide the system to extract accurate policy identifiers.
Configuration Settings
These configurations apply to FastGPT v4.17.0:
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Bind a unique session identifier, generated per user conversation | Ensure cross-turn context association, meet log tracking and audit requirements |
messages | Retain the first 10 rounds of conversation content, truncate redundant parts exceeding 8000 tokens | Adapt to the length of commodity trading policy documents, avoid context overflow affecting understanding |
variables | Preset variables for "applicable category", "policy effective time", and "trade method" | Guide users to clarify specific scenarios, narrow retrieval scope |
| Maximum context window | Retain the first 6 rounds of conversation + current retrieval results | Balance context completeness and response speed |
| Question Optimization | Enable multi-turn question restatement function | Organize users' vague cross-turn questions to match accurate retrieval of policy documents |
Three Common Misconfigurations
- Symptom: After calling the API with the
chatIdparameter, the conversation log does not associate the corresponding session identifier. Cause: Session identifier binding configuration was not enabled in the backend, causing the parameter to not be correctly written to the log. - Symptom: Policies retrieved during multi-turn dialogue do not match the user's question, and the number of results exceeds expectations. Cause: The
variablespreset variable guidance was not enabled, and the retrieval category and time range were not limited. - Symptom: After a non-logged-in user deletes a conversation, the backend log is also deleted synchronously. Cause: No log retention strategy was configured for non-logged-in sessions, causing session data and logs to be deleted together.
How to Verify Successful Configuration
- Initiate a multi-turn question that includes specific commodity trading categories and policy effective times, check whether the correct
chatIdparameter is included in the conversation log. - Test cross-turn questions to confirm that the system can associate the previously mentioned category restriction conditions and return policy content for the corresponding targeted field.
- Upload a newly released commodity trading policy document, confirm that it can be retrieved within 24 hours to verify that the update configuration is effective.
- Simulate a non-logged-in user initiating a conversation and deleting it, check whether the complete record of the session is retained in the backend log.
The values provided here are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.