Reference only; verify against the target FastGPT release and deployment documentation.
What this category of data looks like
Iron and steel smelting industry policy and regulatory basis data is sourced from publicly available compliance documents issued by national and local industrial and information technology departments, state-owned assets supervision and administration commissions, as well as internal production management systems of state-owned and state-controlled enterprises. Updates are synchronized when new policies are released. Existing documents are reviewed and revised quarterly. Each document includes document number, issuing authority, effective date, applicable smelting processes (sintering, ironmaking, steelmaking, rolling, etc.), core clauses, non-compliance scenarios, and rectification requirements. Fields include policy unique identifier, applicable process scope, clause level, compliance threshold, execution period. Units are mostly "article", "paragraph", "item". Some energy consumption-related clauses use "kilograms of standard coal per ton of steel" as their unit.
Constraints imposed on workflow orchestration
Iron and steel smelting policy data is split by production process, sourced from multiple locations, and has inconsistent formatting. The workflow must filter recalled policy content by smelting process dimension, using the current process parameter passed in variables as the filter condition. Policy updates do not follow a fixed cycle. After a new policy is released, it must be quickly synchronized to the knowledge base. The workflow must be configured with a scheduled knowledge base update node to ensure data timeliness. Policies include a unique identifier field. The workflow must use nodeId to associate with the corresponding policy document to avoid duplicate matching. Some clauses use energy consumption units. The workflow must add a unit verification step to prevent non-compliant parameters from appearing in retrieval results.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Scheduled Trigger Interval | Every 7 days or immediately after a new policy is released | Matches the non-fixed update cycle of iron and steel smelting policies, balances data timeliness and system load |
| Filter Condition | Match the smelting process parameter in variables | Targets the process-split data structure of policies to accurately recall content for the corresponding smelting link |
| Maximum Recalled Entries | Top 8 entries | Each smelting process has a large number of policy clauses, limiting recalled entries prevents context window overflow |
| Context Window | 1500–2000 token | Adapts to the average length of iron and steel smelting policy documents, ensures full coverage of core clauses |
| Knowledge Base Update Node Timeout | 600 seconds | Meets volume requirements for batch uploads of iron and steel smelting policy documents, prevents timeout interruptions during synchronization |
nodeId Association Configuration | Bind the unique identifier field of the policy document | Ensures policy data called by the workflow corresponds one-to-one with content stored in the knowledge base, avoids matching errors |
Three Common Misconfigurations
- Retention of AI chat node think tag content after workflow execution: The final output includes text wrapped in
<think>...</think>. This occurs when the code execution node fails to correctly bind the output field of the AI chat node, or when the regular expression replacement rule does not cover all format variations. - Simultaneous output of all historical results by multiple AI chat nodes: The final output includes return content from multiple AI chat nodes. This occurs when result truncation rules between nodes are not configured, and only the
variablesoutput data from the last node is not retained. - Scheduled update node trigger failure: The knowledge base does not synchronize new policy files as scheduled. This occurs when the correct file path matching rule is not set, or when the timeout period is set too short, causing batch document uploads to be interrupted.
How to Verify Correct Configuration
- Manually trigger the workflow, pass in the
variablesparameter for a specified smelting process, and check that the recalled policy content only includes clauses for that process. - Run a workflow that includes a code node, review the final output, and confirm there is no text wrapped in think tags.
- Configure a scheduled trigger task, wait for the preset interval, and check the knowledge base update logs to confirm that new policy files have been successfully synchronized.
- Test a workflow with multiple AI chat nodes, confirm that the final output only includes the return content from the last node.
The values provided here 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.