What this category of data looks like
The policy data for this category mainly comes from power generation equipment industry policies and national standard announcements issued by the National Energy Administration and the Ministry of Industry and Information Technology, as well as specialized standard documents from the China Electrical Equipment Industry Association. Updates are completed within 7 working days after a policy is officially released or revised. The document structure is divided into three categories: original policy texts, official interpretations, and supporting implementation rules. Fields include policy number, issuing authority, effective date, applicable equipment type, and core clause summary. Units use standard official document formatting and date formats.
What constraints these characteristics impose on the multi-turn dialogue and prompt engineering link
The policy number and applicable equipment type fields require tracking specific power generation equipment categories mentioned by users during multi-turn dialogue, to avoid mixing policies across scenarios such as thermal power, wind power, and nuclear power. The effective date field requires embedding timeliness verification logic in the dialogue flow, to ensure only valid and non-repealed clauses are called. The three-category document structure requires prompts to explicitly prioritize retrieving official interpretation content, to reduce the reading burden of long original texts for users. The update rhythm requirement restricts the dialogue system to regularly synchronize the latest policy library, to avoid retrieving expired policy documents. The long text nature of original policy texts requires segmenting and truncating retrieved content during multi-turn dialogue, to adapt to context window limits.
How to set configurations
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
| Maximum Context | First 12000 characters | Adapts to the long text nature of power generation equipment policy documents, to avoid truncating core policy clauses |
| Single Search Limit | First 8 entries | Covers relevant policies for specialized equipment such as thermal power and wind power, to avoid missing applicable clauses |
| Context Retention Duration | 7200 seconds | Matches the cross-timeframe policy consultation session needs of public sector and state-owned enterprise entities |
chatId | Bind unique session identifier | Ensures accurate context association for multi-turn dialogue, prevents session interference |
variables | Inject current equipment type variable | Limits the applicable scenario of retrieved policies, narrows the retrieval scope |
| Question Optimization | Enabled, calibrated based on actual testing | Optimizes retrieval accuracy for subsequent questions in multi-turn follow-up scenarios related to policy terminology |
Three Common Mistakes
- Phenomenon: Markdown table output shows truncated content, with
...[hide X chardisplayed at the end. Cause: No context truncation rules adapted for long texts are configured, causing the system to automatically truncate reply content that exceeds the window limit. - Phenomenon:
insufficient_quota Current group upstream load is saturated, please try again latererror is returned. Cause: No limit is set on the number of concurrent requests per session, or no reasonable timeout retry mechanism is configured, causing peak requests to exceed the system load limit. - Phenomenon: Conversation records are not saved to the database after the client closes the SSE connection. Cause:
chatIdis not correctly bound and session persistence logic is not configured, and the context write operation for themessagesarray is not completed when the request is interrupted.
How to Confirm Proper Configuration
Reference only; verify against the target FastGPT release and deployment documentation.
- Initiate multi-turn questions involving specialized power generation equipment policies, check that the context is coherent and no session interference occurs.
- Input a question containing a Markdown table, confirm that the reply table is fully displayed with no truncated hidden content.
- Manually close the SSE connection, re-enter the session, and check that previous conversation records are fully saved.
- Trigger peak requests, confirm that no upstream load saturated error prompt appears.
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.