What the Data for This Category Looks Like
The data for coal chemical industry matter consultation and reply comes primarily from internal enterprise business process specification documents, coal deep processing project approval documents, consultation ledgers submitted by frontline operation and maintenance personnel, and coal chemical industry approval guidelines from government departments. The data update rhythm changes with business scenarios: approval documents are updated in real time with project progress, industry guidelines are revised once per year, and new consultation ledger records are synced daily. Each individual consultation entry includes consultation number, submission time, consultation content, affiliated business module (such as coal gasification process, air separation unit operation and maintenance), reply content, and completion status. Some fields use specific units: processing duration is measured in hours, and document length ranges from hundreds to thousands of characters.
Constraints Imposed on Workflow Orchestration by These Characteristics
Coal chemical industry matter consultation data is sourced from multiple scattered locations, including internal specifications, approval documents, consultation ledgers and other data types. This requires configuring multiple data source pull nodes during workflow orchestration to avoid incomplete data coverage from a single node. Business module classifications cover multiple segmented scenarios including coal gasification, air separation units, wastewater treatment and more. nodeId is used to match corresponding business processing nodes to ensure consultations are routed to the correct processing chains. Consultation ledgers add new entries daily, and completion status changes as the process advances. Status verification nodes must be set in the workflow to directly reuse historical reply data for already completed consultations, reducing duplicate processing. Individual consultation document lengths vary widely, so context adaptation nodes must be configured to accommodate consultation content and reference documents of different lengths.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Data Source Node Configuration | Group and associate corresponding data sources by business module | Coal chemical industry matter consultation data is scattered across internal specifications, approval documents, operation ledgers and other sources. Grouped association enables accurate pulling of relevant data |
| Node Routing Rules | Match business classifications using nodeId | Coal chemical industry business modules cover segmented scenarios including coal gasification, air separation units and more. Matching via node ID ensures consultations are routed to the correct processing chains |
| Context Length Limit | 8000–12000 characters | Coal chemical industry process documents and consultation content are generally long. This setting accommodates long text processing needs |
| Timeout Threshold | 600 seconds | Coal chemical industry consultations involve complex process issues. Sufficient time must be reserved for knowledge base recall and model response |
| Historical Record Reuse Switch | Enable reuse of completed consultation replies | Reduces duplicate processing of identical completed consultations, improving workflow operation efficiency |
| Parallel Branch Configuration | Launch corresponding branches by consultation type | Accommodates the parallel processing scenario of multiple coal chemical business types, preventing single branches from blocking the overall workflow |
Three Common Misconfigurations
- Symptom: Only a single branch triggers after workflow startup, without parallel routing as configured. Cause: Branch nodes were not set to parallel mode, and mutually exclusive routing rules were incorrectly configured.
- Symptom: gpt-4o-mini call failure logs appear during workflow runtime. Cause: A valid API key for the corresponding model was not added in the global configuration, or the key permissions were not enabled.
- Symptom: Historical records in global variables cannot be modified, and query results are empty. Cause: The editable switch for historical records was not enabled, or the historical record variable in
variableswas not correctly bound.
How to Confirm Correct Configuration
- Navigate to the workflow editing page of FastGPT v4.17.0, and check if data source nodes are grouped and associated with corresponding data sources by coal chemical industry business modules.
- Submit a test coal chemical industry air separation unit operation and maintenance consultation, and confirm that the workflow automatically routes to the corresponding business processing node.
- Check the global configuration to confirm that the historical record reuse switch is enabled and the correct
variablesvariable is bound. - Simulate a long-text consultation, and confirm that the workflow does not truncate key content due to context length limits.
The values provided are common starting points and should be measured against applicable 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.