Workflow Orchestration for Administrative Inquiry and Response of State-owned Capital Investment Companies

Workflow Orchestration for Administrative Inquiry and Response of State-owned Capital Investment Companies

What the Data for This Category Looks Like

Reference only; verify against the target FastGPT release and deployment documentation.

What Constraints These Characteristics Impose on Workflow Orchestration

Dispersed sources of administrative inquiry data require workflow configurations to include multi-source data aggregation nodes. These nodes stitch together ticket content, policy documents, and direct-affiliated enterprise feedback. Differences in data update rhythms require workflows to support both real-time triggering and scheduled synchronization modes. This adaptation covers scenarios for new tickets and policy updates. The mandatory binding requirement of the associated policy document number field requires workflow configurations to include field validation rules. This prevents incorrect policy data from being called. Inquiry subjects cover internal departments and direct-affiliated enterprises. This requires workflow variable configurations to adapt to the inquiry formats of different subjects.

How to Configure Settings

Configuration ItemRecommended PracticeRationale
Variable Set ConfigurationPreset three groups of variables: inquiry subject, associated policy, and ticket status. Use the first 5 associated policy data entriesAdministrative inquiries for state-owned capital investment companies are mostly associated with state-owned asset policy documents. Limiting the number of associated data entries reduces context redundancy
HTTP Request Timeout600 secondsInternal policy library interface responses typically take 300-500 seconds. Adding redundant time prevents timeout failures
File Type Validation RulesOnly allow uploading PDF and DOCX format attachments, with a maximum size of 1000 MBAdministrative inquiry attachments are mostly policy documents or ticket documents. Limiting formats and sizes filters invalid uploads
Workflow Trigger ConditionTrigger on new ticket creation eventsAdministrative inquiries take new tickets as the core trigger source. This aligns with the ticket circulation process for state-owned asset supervision
nodeIdAssign a unique identifier to each data aggregation nodeEnsures accurate node call when stitching multi-source data in workflows

Three Common Configuration Mistakes

  • Phenomenon: The body parameter of the HTTP request node in the workflow is not replaced with preset variables as expected. The interface returns missing parameters or format errors. Cause: The corresponding variable is not declared in the variables configuration, or the correct variable reference syntax is not used.
  • Phenomenon: The file upload node in the workflow cannot distinguish between images and other file formats. Non-image attachments incorrectly trigger image processing logic. Cause: No file type validation rules are configured, or the validation rules do not cover common attachment formats for administrative inquiries.
  • Phenomenon: The code execution node reports a runtime error, or the HTTP request node does not trigger and jumps directly to the AI conversation phase. Cause: Incorrect node ID mapping causes disordered workflow execution order, or no timeout retry mechanism is configured, leading to node execution failure.

How to Verify Correct Configuration

  • Manually trigger a test ticket. Check if the body parameter after variable replacement in the workflow log matches the preset format.
  • Upload test attachments in PDF, DOCX, and JPG formats. Verify that the file type validation rules only allow PDF and DOCX files to pass.
  • Check that each node's nodeId is unique and matches the call identifier in the workflow orchestration.
  • Simulate a timeout scenario. Adjust test parameters to trigger an HTTP request timeout. Verify that the timeout configuration triggers the retry logic.

The values provided here are common starting points. They should be evaluated against the reader's own operational 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.