Declaration Materials and Case Review for Metal Material Processing: Workflow Orchestration

Declaration Materials and Case Review for Metal Material Processing: Workflow Orchestration

What this category’s data looks like

Data for this category comes primarily from quality inspection ledgers, raw material inbound slips, process transfer slips, and administrative approval declaration forms of metal material processing enterprises. Data updates trigger with each production batch or approval workflow node. Content falls into two main categories: structured fields and attachments. Structured fields include furnace number, batch number, processing technology parameters, test result values, and units such as MPa and mm. Attachments are mostly unstructured files like metallographic micrographs and composition test report PDFs, which require linked parsing with associated fields.

Constraints on workflow orchestration from these data characteristics

The coexistence of structured and unstructured data requires workflows to include both structured field reading and unstructured file parsing nodes. The dynamic data update per production batch requires workflow variables to bind furnace number and batch number as dynamic parameters, to avoid cross-batch data confusion. Fixed test units require workflows to have built-in unified numerical validation rules, to prevent audit errors caused by unit mismatches. Approval workflow node triggers must be bound to business flow, and cannot rely on fixed time scheduling.

Configuration settings

Reference only; verify against the target FastGPT release and deployment documentation.

Configuration ItemRecommended SettingRationale
Global VariablesBind furnace number and batch number as variablesMatch dynamic data update per batch to avoid cross-batch data confusion
Database Connection Timeout600 secondsAdapt to complex processes including metal material test report parsing and multi-field reading
Single Search Result LimitTop 5 entriesMatch the number of test data entries per batch to avoid redundant loading
Node Trigger ConditionTrigger based on approval node status changeAlign with business flow logic to reduce invalid workflow execution
Context Call ScopeOnly current workflow instancePrevent interference between context data from different batches
Global Variable Update TimingAfter each batch data loadEnsure use of latest batch parameters to adapt to dynamic update characteristics

Three common configuration errors

  • The database connection node returns an Access denied error. The cause is failure to correctly bind enterprise-exclusive database access permissions to batch parameters in workflow variables, leading to failed permission verification.
  • The workflow cannot load global variables saved in historical conversations. The cause is failure to specify nodeId as the storage association node for historical variables, leading to incorrect variable invocation.
  • Workflow execution does not generate customized guide text, and only displays the system default suggested questions. The cause is failure to add an independent guide text generation node in the workflow, directly relying on system default configuration.

How to verify correct configuration

  • Submit a single batch of test declaration materials, check the return results of the database connection node to confirm that permissions and variables parameter configurations are correct.
  • Manually trigger an approval node status change, check if the workflow executes automatically to confirm that the node trigger condition configuration is correct.
  • Call a workflow instance from a historical batch, check if the global variables for that batch can be loaded to confirm that the nodeId association configuration is effective.
  • Check the output content after AI reply, confirm that the preset customized guide text is displayed to verify that the guide text generation node configuration is correct.

The values provided are common starting points and should be measured against the 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.