What data in this category looks like
The data for this category comes from local public data open platforms, integrated big data platforms, departmental business databases, and electronic certificate repositories. It is updated once per month. Daily associated documents include public data resource catalogs, data open lists, data item descriptions, desensitization rules, interface documents, and update frequency descriptions. Data fields cover data item names, open scope, desensitization requirements, calling interface addresses, update cycles, and more. Most data uses structured formats, with some interface permission description documents attached.
Constraints imposed on model access and configuration
Monthly updated data sources require model access configurations to support regular data index synchronization. This prevents a disconnect between catalog data and actually open data. The combination of structured data and interface documents requires configurations to support parsing logic for multiple input types. Configurations must also strictly control the context calling scope for data desensitization. The open scope and authorization boundary fields of data items require configurations to link permission verification logic. This prevents unauthorized data calls. The presence of interface documents requires configurations to support parameter alignment for tool calls. Generated calling instructions must follow interface specifications.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Public data catalog and openness documents are usually lengthy, and need to cover complete catalog entries, interface descriptions, and desensitization rules |
temperature | 0.2–0.4 | Party building learning Q&A requires strict and accurate content, to avoid generating explanations that deviate from official documents |
toolChoice | auto | Need to automatically determine whether to call data interfaces to obtain the latest catalog information based on user questions |
maxTokens | 4000–6000 token | Control the length of a single response, to adapt to information output specifications in government affairs scenarios |
| Data index update cycle | Once per month | Match the monthly update rhythm of data in this category, to ensure Q&A content is consistent with the latest catalog |
Three common configuration mistakes
- When testing the qwen-max model, a "cannot read properties" error appears. The root cause is incorrect configuration of the corresponding relationship between
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKEN, which causes interface call failures. - Adaptation exceptions occur when selecting an embedding model supplier. The root cause is failure to match the vector dimension requirements for structured data in this category, which causes data index construction to fail.
- Tool call output content is displayed directly in the chat window. The root cause is failure to turn off the intermediate result display switch for tool calls, which creates a risk of leaking raw data before desensitization.
How to confirm successful configuration
- Run the model test interface to verify that the configurations of
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENcan initiate calls normally, with no connection errors. - Submit a test question that includes a data catalog query, to confirm that the model's output matches the latest entries in the current public data catalog.
- Enable tool call testing, to verify that calls are only triggered when data must be retrieved, and that intermediate results are not displayed in the chat window.
- Trigger a data index synchronization task, to confirm that synchronization progresses normally, with no data format conversion error prompts.
The values provided 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.