What this category's data looks like
Reference only; verify against the target FastGPT release and deployment documentation.
What constraints these characteristics impose on the forms and interactions workflow
Since data sources are scattered and temporary materials need to be synchronized, form interactions must support batch document uploads and scheduled synchronization configurations. Since documents include fixed fields and units, the formInput component must preset field validation rules to restrict non-compliant content from being entered. Since party building learning content must be linked to specific learning activity records, the interaction workflow must support quick calls to existing activity archives to avoid duplicate data entry. Since update rhythms are flexible, the knowledge base update trigger mechanism must support both scheduled tasks and manual triggers to accommodate regular updates and temporary task requirements. The userSelect component must match the classification logic of participating entities to ensure the interaction process complies with party building management specifications.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
formInput | Preset three fields: party building topic, learning duration, and participation count. Support quick filling by associating existing activity archives | Match the fixed field structure of communication tower party building learning data, reduce non-compliant content entry |
userSelect | Limit optional range to two categories: operation and maintenance stations, party committees/branches. Maximum 10 items per selection | Align with the classification of participating entities for party building learning, avoid invalid option entry |
| Question Optimization | Enable. Set model parameters based on actual testing | Party building Q&A requires precise matching of learning content. Optimization improves question recall accuracy |
| Maximum Context | 800–1200 token | Party building learning materials are mostly short texts. Excessively long contexts will interfere with precise matching |
| Maximum Search Results per Request | Top 5 | Category documents have a clear structure. The top 5 results cover core learning points |
| Knowledge Base Sync Trigger | Scheduled task (once monthly) + manual trigger | Accommodate regular updates and temporary task requirements for category data |
Three Common Configuration Errors
- Phenomenon: The party building Q&A results returned by the API differ significantly from those in online chat, and do not link to the current session's historical questions. Cause: Session context passing logic is not configured. The API does not use the previous interaction's conclusion as an input parameter by default.
- Phenomenon: Field format errors occur after form submission, such as non-numeric content entered for participation count. Cause: Field validation rules are not configured in the
formInputcomponent, and the unit and field type requirements for category data are not matched. - Phenomenon: The question optimization function does not take effect, and the returned party building questions deviate greatly from knowledge base content. Cause: The question optimization configuration is not enabled, or the model call permission configuration is not set correctly.
How to Verify Successful Configuration
- Manually enter a piece of party building learning data that complies with category field specifications, check if the
formInputcomponent automatically matches preset fields and validates formats. - Call the API to submit a form request, verify that the returned results are consistent with online chat, and confirm that session context is passed correctly.
- Enable the question optimization function, submit a test question, check if the returned results better align with core party building learning content.
- Trigger a manual knowledge base sync, verify that temporarily uploaded party building materials have been correctly indexed.
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.