Reference only; verify against the target FastGPT release and deployment documentation.
What data does this category include
This category primarily uses data from four sources: the national pollution discharge permit management information platform, enterprise environmental protection ledgers, online monitoring systems, and environmental statistics systems. Commonly processed documents include pollution discharge permit application forms, implementation reports, self-monitoring plans, ledger records, change applications, and permit copies. Data updates occur quarterly. Each document contains core fields such as emission limits, monitoring frequency, and ledger cycle, with units related to concentration, time, and emission quantities. Data formats vary across sources, so unification is required before the review workflow can be used.
What constraints do these characteristics impose on workflow orchestration
Multi-source data access requires workflow configuration to include cross-source validation nodes, to avoid review bias caused by inconsistent data across platforms. The quarterly update rhythm requires workflow configuration to use cycle-adapted scheduling parameters, to ensure the review process triggers automatically after data updates. The existence of multiple document types requires workflow setup to include routing branches based on document type, to match review rules for corresponding industries. Time-consuming verification steps require split nodes and retry mechanisms, to prevent workflow interruption from single-node blocking. Severe error consequences require mandatory validation nodes to block non-compliant materials from entering subsequent stages, avoiding issues such as unpermitted discharge and over-limit emission.
Configuration Settings
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
| Question Optimization | Enable, set trigger timing before node input | Declaration material text often contains redundant expressions, optimization improves matching accuracy of review nodes |
| Maximum Context | 8000–12000 token | Must carry full content of multiple documents to avoid truncating critical review information |
variables | Bind to pollution discharge permit limits, industry technical specification keywords | Store fixed review rules in variables for easy unified updates and calls |
| Node Timeout Setting | 600 seconds | Checks for industry specifications and monitoring data take significant time, reserve sufficient processing time |
| Failure Retry Count | 2 times | Prevent workflow interruption from single network or data read errors |
nodeId | Assign unique identifier to each review branch node | Facilitate locating specific error-prone links in the workflow for quick troubleshooting |
Three Common Configuration Mistakes
- Phenomenon: Review rules do not take effect as expected during workflow runtime, returned results do not match specifications. Cause: The question optimization component was not placed before core review nodes, so raw text enters rule matching without cleaning.
- Phenomenon: The agent returns a "Missing parameter" error. Cause: Did not bind industry specification variables for pollution discharge permits in
variables, so review nodes cannot call fixed validation rules. - Phenomenon: The workflow times out and terminates. Cause: No node timeout parameter was set, or the timeout duration was set too short to complete checks across multiple documents.
How to Verify Successful Configuration
- Check the
variablesconfiguration to confirm fixed review parameters such as pollution discharge permit limits and industry technical specifications are bound. - Run a test workflow, import a standard pollution discharge permit application form, and verify that the review node triggers corresponding validation rules.
- View workflow logs to confirm each node has a clear
nodeIdidentifier, allowing direct location of error nodes. - Configure a scheduled trigger task to verify whether the workflow starts automatically on a quarterly cycle to adapt to data update rhythms.
The values provided here 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.