Reference only; verify against the target FastGPT release and deployment documentation.
What the Data for This Category Looks Like
Core data sources for coal chemical documents and materials include internal project archives, reports exported from production systems, and compliance document templates. Data updates follow two schedules: Project-based documents such as feasibility study reports and safety assessment reports receive phase-by-phase updates across the full project cycle. Daily operational documents such as monthly production reports and discharge permit application materials are updated on a daily or monthly basis. Most documents use a fixed template structure, including sections such as project overview, process route, material consumption, environmental emissions, and investment budget. Fields include project code, equipment model, material consumption quota, emission limits, and more. Units mostly use industrial measurement formats such as tons per hour, cubic meters per cubic meter, mg/Nm³.
Constraints on Workflow Orchestration
Coal chemical industry documents have strict compliance requirements. They require embedding real-time production data and fixed template fields. Workflows must support both structured production data retrieval and unstructured template invocation. Production data interface response is affected by network and device status. Workflows require configured reasonable timeout and retry mechanisms. Coal chemical document field units and formats follow clear industrial specifications. Workflows must add field validation steps to prevent generated content from failing compliance requirements. If data retrieval nodes are not configured correctly, workflows may skip data acquisition entirely and rely only on AI-generated content.
Configuration Settings
| Configuration Item | Suggested Setting | Rationale |
|---|---|---|
| Variable Binding | Bind production data fields in variables | Coal chemical documents require embedded real-time production data. Using variables allows direct retrieval of structured fields exported from the system, avoiding manual entry errors |
| HTTP Request Timeout | 600 seconds | Coal chemical production data interface response is affected by network and device status. 600 seconds covers most delay scenarios |
| Field Validation Rules | Validate format of material consumption and emission limit fields | Coal chemical documents must meet industrial compliance requirements. Validation prevents field units or values from non-compliant standards |
| Node Retry Count | 3 times | Address temporary fluctuations in production data interfaces, reducing the probability of workflow interruptions |
| Context Window | Calibrate based on actual measurements | Coal chemical document content is lengthy. Adjust window size to fit AI generation based on actual document length |
Three Common Misconfigurations
- Workflow run logs show HTTP request node status as not triggered. Generated documents do not include retrieved production data. The cause is that correct trigger conditions were not configured for the HTTP request node in the workflow. The node does not execute, and AI skips the data retrieval step.
- After multi-node deployment, production data read by different nodes varies. The cause is that the
variablesdata sharing path between nodes was not correctly configured, leading to abnormal data synchronization. - Call to workflow interface returns missing parameter prompt. The cause is that required field parameters required by
variableswere not correctly passed in the interface call, so the workflow cannot obtain necessary production data.
How to Confirm Proper Configuration
- Manually trigger the workflow, check node run logs, confirm that the HTTP request node successfully retrieved the configured production data fields.
- Import simulated coal chemical document data, check if field validation rules trigger normally, confirm that format and units meet industrial specifications.
- Call the workflow interface, pass required
variablesparameters, confirm that the generated document includes correct embedded field content. - After deploying a multi-node environment, check the data storage path of each node, confirm that
variablesdata synchronization is normal.
The values given 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.