What this category of data looks like
Data for expressway operation policy and regulatory basis Q&A comes from the Ministry of Transport official website, provincial transport authority announcements, and internal compliance documents of expressway operation enterprises. Update rhythm aligns with policy revisions, with no fixed cycle. Documents are stored in official document format, including fields such as policy document number, issuing authority, effective date, applicable road section scope, clause level (article/paragraph/subparagraph), etc. Content covers operational regulatory requirements such as toll standards, road administration management, emergency response, and other operation-related topics.
Constraints imposed by these characteristics on multi-turn dialogue and prompt engineering
Expressway operation policy documents have clear structural hierarchies and cover multiple business modules. Multi-turn dialogue must accurately pass contextual information such as the current query’s associated road section scope and policy document number via the messages parameter to avoid matching incorrect clauses. Policy update frequency is not fixed. Prompts must explicitly require calling the latest version of compliance documents to prevent referencing expired content. Single policy documents have relatively long length. The context window for multi-turn dialogue must limit the valid range to avoid redundant information interfering with the model’s extraction of core clauses. In addition, policy fields include clear applicable regions and effective dates. Prompts must guide the model to mark the issuing authority and effective date of the corresponding policy when responding, to ensure compliant and accurate answers.
How to Configure
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Bind the session identifier for the current operation scenario | Ensure coherent multi-turn dialogue context within the same scenario, avoid cross-session information confusion |
messages | Retain the previous 8–10 rounds of dialogue content | Cover common multi-turn interactions in policy Q&A such as clause follow-up questions and applicable scope confirmation |
variables | Configure road section code and policy document number variables | Match the exclusive applicable fields of expressway operation policies, improve retrieval accuracy |
| Maximum context length | 8000–12000 characters | Adapt to the content length of a single core policy document, avoid exceeding the model’s processing limit |
| Prompt template configuration | Fixed inclusion of "Prioritize matching policy clauses corresponding to the current road section" | Guide the model to focus on compliant content for the target business scenario |
| Token consumption control | Calibrate based on actual measurements | Adapt to the call frequency and cost requirements of the business scenario, avoid abnormal consumption |
Three Common Misconfigurations
- Phenomenon: Fails to correctly call the global variables configured via
variablesduring multi-turn dialogue, and the returned policy content does not match the current query road section. Cause: Fails to explicitly bind the global variable calling logic in the prompt, or the variable configuration is not associated with the exclusive fields of the current operation scenario. - Phenomenon: The AI dialogue node returns empty content with no policy-related response. Cause: The context window exceeds the limit during model calling, or the retrieved policy documents do not match the user’s query keywords, resulting in no valid retrieved content.
- Phenomenon: Unclosed quotation marks appear at the end of AI output content, followed by automatic correction to standard quotation marks. Cause: The prompt does not explicitly require standardized output formatting, and the model experiences formatting drift during generation without strictly following preset output rules.
How to Confirm Proper Configuration
- Initiate a query containing a specific road section code, verify whether the returned policy content matches the regulatory clauses corresponding to that road section.
- Launch 3 consecutive related follow-up questions, verify whether the dialogue context retains the previously mentioned policy document number and applicable scope.
- Trigger a model call, check whether the
chatIdidentifier of the current session is correctly bound in the logs, with no cross-session context confusion. - Adjust the number of retained rounds for the
messagesparameter, verify whether the display of dialogue history conforms to the preset round limit.
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.