What the Data for This Use Case Looks Like
Core data for administrative service item catalog and service guide maintenance includes basic administrative service item catalogs, implementation lists, service guides, standard material catalogs, flowcharts, and frequently asked questions. Data sources primarily include the national basic administrative service item catalog, administrative licensing item list, power and responsibility list, and local administrative service item databases. Data is updated once per month. Document structure includes fixed fields such as item code, item name, acceptance conditions, application materials, and processing flow. Some documents include structured code blocks to mark process or material lists.
Constraints for Multi-turn Dialogue and Prompt Engineering
The monthly update frequency of administrative service item catalog and service guide data requires multi-turn dialogue to prioritize calling the latest official document snapshots. This avoids inconsistent official terminology caused by expired data. Documents include multiple fixed fields that must strictly match official expressions. Prompts must clearly limit conversation scope to only field verification, catalog comparison, and guide maintenance for administrative service items. The system must not handle specific application requests from individual applicants. Multi-turn dialogue must retain comparison result context from each turn to ensure consistency of maintenance actions. It must also record each verification result to facilitate subsequent troubleshooting of inconsistent terminology issues.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum Context Length | 8000–12000 characters | Covers the full content of a single administrative service guide and the context requirements of multi-turn comparison |
| Variable Reference Configuration | Enable automatic replacement, bind the variables parameter | Administrative documents contain many fixed fields such as item codes. Variable replacement prevents manual modification errors |
| Temperature Parameter | 0.1–0.3 | Requires strict matching of official administrative expressions. Reduces the probability of randomly generated content |
| Dialogue Turn Limit | First 6 turns of dialogue | Multi-turn communication for administrative service item maintenance typically does not exceed 6 turns. Prevents redundant context from interfering |
| Dialogue Log Storage | Enable full storage, bind the chatId parameter | Facilitates subsequent verification of maintenance results and troubleshooting of inconsistent terminology or field errors |
Three Common Configuration Errors
- Variable reference configuration causes the temperature setting button to disappear. This occurs because some UI component binding logic in FastGPT v4.17.0 has conflicts, and the configuration entry for the temperature parameter is not properly retained.
- Dialogue log operation data is empty after calling the interface workflow. This happens because full log storage configuration is not enabled, or the
chatIdparameter is not correctly bound to the workflow node. - Code blocks in the text content extraction module are identified as undefined. This occurs because the prompt does not clearly specify extraction rules for code blocks in administrative documents such as flowchart code and material list code, leading the model to fail to correctly identify the corresponding fields.
How to Verify Successful Configuration
- Initiate a test dialogue. Enter "Compare the acceptance conditions of the superior catalog and the local implementation list". Check if the returned result includes the specified administrative document fields and contains no irrelevant content.
- Configure a test query with preset variables. Confirm that the result replaces variables with the fixed values of the corresponding administrative documents, verifying that the
variablesparameter functions correctly. - View the dialogue log. Confirm that the
messagesparameter fully records each round of dialogue content and that the operation data is not empty. - Initiate two identical test queries. Confirm that the returned results have consistent expressions, verifying the effect of the temperature parameter configuration.
The values provided are common starting points and should be validated against deployment-specific sample datasets.
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.