What this category of data looks like
This category of data comes from the national integrated government service platform item database, administrative licensing item list, departmental business approval systems, and electronic certificate database, and is updated daily. Commonly processed documents include service guides, application forms, commitment letters, acceptance notices, correction notification letters, administrative licensing decision letters, and license certificates. Most document structures include fixed fields such as legal basis, handling conditions, application material list, and approval process, with no custom flexible fields. All fields comply with legal format requirements.
What constraints these characteristics impose on the "multi-turn dialogue and prompt engineering" link
The requirement for daily updated data means multi-turn dialogue must be linked to real-time updated item database and approval system data, to avoid using outdated legal basis or handling conditions. The fixed document structure requires prompts to strictly match the legal fields of service guides and approval documents, ensuring each paragraph corresponds to legal handling requirements. For cross-departmental electronic certificate retrieval and verification, multi-turn dialogue must retain the context of historical application materials to avoid repeated verification of the same information. The boundary requirements for legal licensing items mean dialogue must be strictly limited to the current approval item scope, preventing content generation beyond the licensing category.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Fixedly bind to the unique identifier of the current approval item | Ensure multi-turn dialogue context does not mix up different approval applications |
| Maximum Context | 8000–12000 characters, retain the first 10 rounds of dialogue + the latest 3 application materials | Administrative licensing documents are mostly long texts, requiring coverage of complete application and approval history |
messages | Split by approval process nodes, only retain context required for the current link per round | Avoid redundant context occupying token quota, ensuring smooth long conversations |
variables | Preset legal field variables, such as item name, applicant's unified social credit code | Ensure generated documents strictly match legally required mandatory items |
| Question Optimization | Enabled, optimize generated content using official service guide legal phrasing | Administrative licensing documents must comply with official standardized phrasing requirements |
| Maximum Response Tokens | 2000–3000 tokens | Cover complete content such as legal basis, handling requirements, and approval opinions in administrative licensing documents |
Three Common Misconfigurations
- Enabling input guidance and configuring a custom thesaurus address triggers an error when triggering a dialogue in the debug preview interface. The cause is that the custom thesaurus does not adapt to the legal terminology format of administrative licensing items, leading to thesaurus loading verification failure.
- Setting the maximum response tokens above 3000 results in a reply length of only 200 for questions related to specific approval items. The cause is that multi-turn dialogue context occupies most of the token quota, leaving insufficient remaining quota to support the preset maximum response length.
- Unable to add approval-related information to the knowledge base during dialogue. The cause is that the real-time content append function of the knowledge base is not enabled, or the corresponding knowledge base variable is not bound in the dialogue configuration.
How to Verify Successful Configuration
- Check the binding logic of
chatIdto confirm that each independent approval application corresponds to a unique dialogue context identifier. - Generate a standard administrative licensing document to confirm that the generated content matches the legal requirements of the corresponding service guide.
- Review token consumption during the dialogue process to confirm that the response length meets the preset token quota requirements.
- Test adding new approval item data to the knowledge base to confirm that the data is successfully synchronized to the specified storage location.
The values provided here are common starting points, and should be evaluated 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.