What this category’s data looks like
The data for this category comes from local public data open platforms, integrated big data platforms, departmental business databases, and electronic credential databases. The update frequency is monthly. Daily managed documents include public data resource catalogs, data open lists, data item descriptions, desensitization rules, interface documents, and update frequency descriptions. Data fields include data item names, unique identifiers, open conditions, desensitization methods, interface addresses, update cycles, and no additional custom units are used. The core focus is on the accessibility and compliance of data assets.
Constraints for Multi-turn Dialogue and Prompt Engineering
The monthly update requirement means the dialogue system must regularly sync the latest public data catalogs and open lists to avoid returning outdated information. Multi-source data inputs require prompts to clearly define query scopes and distinguish data assets from different departments. Structured document formats require dialogue to support precise queries for fixed fields including data item names, unique identifiers, and open conditions. Q&A about interface documents must strictly align with authorization boundaries and calling rules. Queries about desensitization rules must accurately match preset desensitization methods to prevent unauthorized information disclosure. Multi-turn dialogue must retain context such as the previously mentioned department and data type to ensure consistency across consecutive queries.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum Context Length | 8000–12000 token | Supports multi-turn dialogue memory for long texts such as public data catalogs and interface documents |
messages format validation | Strictly populate according to role and content fields | Ensures conversation history is correctly identified and avoids context confusion |
variables binding | Bind current department and data open cycle variables | Enables targeted data queries based on the associated department |
| Conversation History Retention Duration | 72 hours | Matches the monthly data sync cycle and avoids loading expired conversations |
chatId binding | Bind user session unique identifier | Enables context isolation for multi-turn dialogue and prevents mixing of conversation content from different users |
| Single Knowledge Base Recall Limit | Top 10 entries | Adapts to the number of entries in structured data catalogs and avoids interference from redundant information |
Three Common Configuration Mistakes
- Conversation history fails to export properly, with empty fields returned. The cause is incorrect binding of the
chatIdparameter, which prevents the system from locating stored data for the corresponding session. - Unable to upload attachments to continue the conversation, with an error prompt returned. The cause is that attachment parsing configuration for structured data catalogs is not enabled, making it impossible to adapt to attachment formats such as data lists and interface documents.
- When calling the
api/v1/chat/completionsinterface, data cannot be filtered by the specified knowledge base tag. The cause is that thevariablesvariable is not correctly bound in the request parameters, and the associated parameters for the knowledge base tag are not passed.
How to Verify Proper Configuration
- Initiate a multi-turn conversation, ask about the data open status of different departments consecutively, and verify that context is correctly retained.
- Call the conversation interface, pass the specified knowledge base tag parameter, and verify that returned results only include public data catalog content under the corresponding tag.
- View the session storage log to confirm the
chatIdparameter is correctly bound, and that conversation contexts from different users are not mixed. - Trigger the monthly data sync task, and verify that the knowledge base automatically updates the latest public data open lists and catalog information.
The values provided here are common starting points and should be measured against samples relevant to the specific deployment.
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.