What This Category’s Data Looks Like
Data sources for this category include the national student financial aid management information system, school student status system, civil affairs low-income and special hardship data, and fiscal payment system. The update frequency is per semester. Daily processed documents include family economic hardship certification forms, financial aid application forms, scholarship and grant review forms, distribution lists, and public notice materials. Fields include student identity identifiers, family economic status descriptions, student statuses, bank card information, review results, and more. The data structure covers all content related to the full process of student financial aid application, review, and distribution.
Constraints Imposed on Workflow Orchestration by These Characteristics
Reference only; verify against the target FastGPT release and deployment documentation.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
variables | Include student ID number, application type, submitted material URL, student status fields | Adapt to field extraction and verification for documents such as family economic hardship certification forms and financial aid application forms |
nodeId | Use the ID of each data source node | Node identifier for connecting to data sources such as the national student financial aid management information system and school student status system |
| Session opening greeting configuration | Configure bilingual (Chinese and English) opening greetings, with 800–1200 characters per greeting | Adapt to bilingual consultation needs that may arise in service inquiries |
| Image display node | Enable, bind the material URL parameter in variables | Handle image URL display for materials such as family economic hardship certification forms uploaded by users |
| API call configuration | Enable returning thought process, set timeout threshold to 600 seconds | Meet the requirement of returning workflow review steps during API calls |
| Speech-to-text node | Enable, set speech recognition accuracy threshold based on actual testing | Adapt to scenarios where users may submit voice consultations in service inquiries |
Three Common Misconfigurations
- The workflow speech-to-text function is not enabled, resulting in empty transcription results returned by workflow nodes after a user submits a voice consultation. The cause is that the speech-to-text switch was not enabled in the configuration, and the parameter for user voice input was not associated.
- The material URL parameter in
variablesis not bound in the workflow, resulting in the inability to display the image URL of the family economic hardship certification form uploaded by the user. The cause is that the correct parameter binding was not configured in the image display node. - After calling the API workflow, the returned results only include the final conclusion, with no review thought process. The cause is that the switch for returning thought process was not enabled in the API call configuration, and the timeout threshold was not set.
How to Verify Successful Configuration
- Submit a voice consultation, check whether the workflow node generates transcribed text to confirm that the speech-to-text configuration is effective.
- Upload a family economic hardship certification form with an image URL, check whether the workflow node displays the corresponding image to confirm that the image display node configuration is correct.
- Call the API to initiate a session, check whether the returned results include bilingual (Chinese and English) opening greetings to confirm that the session opening greeting configuration is effective.
- Call the API to initiate a workflow, check whether the returned results include the review thought process to confirm that the API call configuration is effective.
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.