What this category of data looks like
Data for fiscal expenditure performance evaluation comes from the budget management integrated system, project declaration materials, fund payment data, business system ledgers, and satisfaction surveys. The update frequency is annual. Daily processed documents include performance target forms, self-assessment forms, performance evaluation reports, supporting material lists, and rectification reports. Each document has structured fields corresponding to the full process of performance target declaration, self-assessment, evaluation, supporting material collection, and rectification. Fields cover core content such as fund usage details, performance indicator completion status, and rectification measures. No additional statistical or percentage data is included.
What constraints do these characteristics impose on the workflow orchestration link
The annual update frequency means the workflow does not need frequent triggering. It can be configured to run on a fixed schedule. Multi-source data requires configuring cross-system data pull nodes. It also requires verifying the matching of data fields between different systems to avoid data misalignment. Multi-type document processing requires splitting nodes to handle content in different formats such as performance reports and supporting materials separately. This ensures the accuracy of field extraction. The most time-consuming collection and verification link needs automated workflows to replace repetitive manual operations. Dependency relationships between nodes must be set to ensure that subsequent verification and summary steps run only after pre-deployment data pulling is completed.
Configuration settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow trigger method | Trigger on a fixed annual schedule | Matches the fixed annual update cycle of fiscal expenditure performance evaluation |
variables | Bind performance year and budget unit ID | Used to filter data from the budget management integrated system and business ledgers for the corresponding year |
| Node dependency configuration | Sort by data pull → verification → summary → report generation | Ensure that subsequent steps run only after preceding nodes complete, to avoid missing data |
nodeId | Bind the unique identifier of core nodes | Precisely control the execution path of the workflow and the calling relationship between nodes |
| Single execution timeout | 1200–1800 seconds | Covers the total time required for multi-source data pulling and multi-document processing |
| AI chat node temperature setting | Temperature toggle off, or set to 0 | Ensure that the content of the performance evaluation report is rigorous with no random bias |
Three common misconfigurations
- Exporting a workflow's JSON and importing it to another environment causes referenced plugins to fail to load. The symptom is an error prompt "specified plugin not found" during workflow runtime. The cause is that the export operation did not package the associated configuration items of the plugin, only exporting the workflow process structure, so the new environment cannot match the plugin dependencies.
- The content returned by the specified reply component includes a leading newline character. The symptom is an empty line appears at the first line of the generated performance report body. The cause is that the default output template of the specified reply node includes a leading newline marker, and the starting format setting of the template was not modified.
- Unable to implement multiple consecutive newlines in the specified reply node. The symptom is that input newline instructions only generate a single newline, unable to create multiple blank paragraphs. The cause is that the corresponding formatted newline marker was not used in the template of the specified reply node, or the rich text rendering toggle was not enabled.
How to confirm the configuration is correct
- Trigger a test workflow, check whether the output data of each node matches the source data from the budget management integrated system, business ledgers, etc., for the corresponding year.
- After running the workflow, view the output content of the specified reply node, confirm that the newline format meets the typesetting requirements of the performance report, with no unnecessary leading newlines.
- Adjust the temperature setting of the AI chat node, compare the output content of two runs, confirm that the difference in generation logic when the temperature toggle is off and set to 0 matches expectations.
- Export the workflow and import it to a test environment, check that all associated plugins load normally with no error prompts.
The values provided 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.