What This Category of Data Looks Like
Policy and regulatory basis data for engineering consulting supervision mainly comes from industry specifications, bidding supervision documents, standard supervision contract texts and supporting standards issued by the Ministry of Housing and Urban-Rural Development and housing and urban-rural development departments of various provinces and cities. The update cycle is not fixed: the Ministry releases new industry policies quarterly, and provincial and municipal authorities update local supervision rules every six months. Document structure uniformly includes five core fields: document number, issuing authority, effective date, clause content, and applicable project type. Document number format follows examples such as "Municipal Construction〔2024〕No. 12". Effective dates use standard date formats, and applicable project types are labeled as housing construction, municipal works, water conservancy, and similar categories. Reference only; verify against the target FastGPT release and deployment documentation.
What Constraints Do These Characteristics Impose on Workflow Orchestration
Engineering consulting supervision policy data is categorized by administrative hierarchy and applicable scenario. The workflow must support data filtering by jurisdiction and project type. Data updates have no fixed cycle. The workflow must be configured with an incremental synchronization mechanism to avoid excessive resource usage from full synchronization. Documents include an effective date field. The workflow must set an effective time filter condition to only call valid policy clauses. Multi-source data is scattered across different knowledge base groups. The workflow must bind multiple knowledge base nodes and dynamically switch the retrieval scope based on input parameters. Additionally, policy Q&A needs to match the project scenario entered by the user. The workflow must support passing and binding the dynamic parameter variables, and bind the output logic of the corresponding knowledge base retrieval node through nodeId.
Configuration Settings
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
| Knowledge Base Grouping | Split by national/provincial/municipal supervision policies | Engineering consulting supervision policies are categorized by administrative hierarchy to match regulatory requirements for different project jurisdictions |
| Effective Time Filter | Only match documents with effective dates between 2022-01-01 and the current date | Avoid referencing expired or not yet effective policy clauses, which complies with compliance requirements for supervision work |
variables | Pass project type and jurisdiction province | Engineering consulting supervision policies need to match corresponding project types and local rules, and variables can carry this type of dynamic input parameter |
| Single Search Limit | Top 8 entries | Individual policy documents range from 500 to 2000 characters in length. 8 entries can cover core policy content without exceeding context limits |
| Node Timeout Period | 60 seconds | Policy data retrieval spans multiple knowledge base groups. 60 seconds covers most retrieval scenarios to avoid timeout interruptions |
Three Common Misconfigurations
- Phenomenon: The
variablesreference in the workflow has no selectable values, and the interface displays empty. Cause: Parameters such as project type and jurisdiction province were not predefined in the workflow's variable configuration page, causing the node to fail to read dynamic input items. - Phenomenon: The AI model option in the workflow's question classification node is empty, and no model can be selected. Cause: The corresponding AI model was not enabled in the platform's global configuration, or the current workflow was not assigned model usage permissions.
- Phenomenon: An error occurs when running the question classification node, and normalcy resumes after switching the model. Cause: The initialized AI model configuration has missing parameters, or model quota is insufficient. Switching the model loads an available model with normal configuration.
How to Verify Proper Configuration
- Manually trigger the workflow, enter a test question that includes project jurisdiction and project type, and verify that the returned results match the entered jurisdiction and project type.
- View the variable binding panel of the workflow node, confirm that the
variablesparameter is associated with predefined dynamic input items, and there are no null value prompts. - Switch the AI model used by the workflow, confirm that the model options for the question classification node load normally and can be selected.
- Simulate a streaming reply scenario, confirm that the trigger timing of the annotation node meets expectations, and execute after all reply content is output.
The values listed above are common starting points and should be evaluated 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.