What this category's data looks like
Reference only; verify against the target FastGPT release and deployment documentation.
What constraints do these characteristics impose on the "workflow orchestration" link
Data sources are scattered across different internal systems and departments. This requires configuring cross-data-source pull trigger rules during workflow orchestration to support multi-port data access. The length of single documents varies widely, and some materials contain tens of thousands of words of structured content. This requires the text processing node corresponding to nodeId to adapt to different input lengths to avoid context overflow. Fixed document fields require variables configuration to bind preset field mappings, and field extraction logic cannot be adjusted arbitrarily. Data updates adjust with project nodes and state-owned asset submission cycles, so workflow trigger rules must match corresponding time nodes to avoid invalid runs.
How to set the configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
variables | Preset to "document number, responsible department, investment target name, approval level" | Matches the fixed field structure of documents for state-owned capital investment companies |
nodeId | Set up 3 processing nodes by text length, corresponding to thousands of words, tens of thousands of words, and attachment tables respectively | Adapts to the wide range of document lengths |
| Trigger Rules | Trigger on the 5th day of the first month of each quarter, 3 days before project approval | Matches the rhythm of data updates following state-owned asset submission and project milestones |
| Variable Mapping | Bind preset fields to workflow output items | Follows the extraction requirements of fixed document fields |
| Timeout Setting | 1200 seconds | Meets the processing duration requirements for large feasibility study reports, calibrated based on actual testing |
| Context Limit | 8000–12000 token | Adapts to the context capacity requirements for long document processing, calibrated based on actual testing |
Three common mistakes
- Workflow API calls return empty fields. The cause is failing to bind the corresponding document fields in the
variablesconfiguration, resulting in the variable extraction node not obtaining valid data. - Workflow runs terminate due to timeout. The cause is not adjusting the processing node corresponding to
nodeIdaccording to document length, and processing a tens of thousands of word document with a single node exceeds the default timeout limit. - External systems cannot call published workflows. The cause is failing to enable application public permissions or configure the correct API call key, resulting in external requests being blocked.
How to confirm the configuration is complete
- Trigger the workflow manually once, and check whether the extracted fields match the preset fields of the target document.
- Upload document samples of different lengths to verify whether each processing node corresponding to
nodeIdstarts normally. - Simulate an external system calling the API to confirm that the returned results contain the expected document processing content.
- Wait for the preset trigger node time, and verify that the workflow runs automatically according to the set rules.
Note: The configuration values provided are common starting points, and should be assessed 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.