What Data for This Category Looks Like
Aerospace equipment marketing content data comes primarily from finalized technical documents, public test reports, and official model introduction manuals. Data update schedules adjust with equipment finalized batches or technology iterations, with no fixed cycle. Single documents mostly combine structured parameters and explanatory text, including fields such as model code, thrust, maximum range, and effective payload. Field units are mostly general engineering units like kilonewtons, kilometers, and kilograms. Some classified fields require desensitization before use in marketing content generation.
Constraints on Workflow Orchestration
The high proportion of structured parameters, high standardization of units, requirement for desensitization of classified fields, and non-fixed update cycles of aerospace equipment data impose multiple constraints on workflow orchestration. Add parameter verification nodes to the workflow to ensure that units of extracted fields such as thrust and range match marketing copy requirements. Configure dynamic data source synchronization nodes to adapt to equipment iteration updates with no fixed cycle. Embed a sensitive information filtering link to desensitize classified model codes, test data, and similar content before use in marketing content generation. Also adapt parsing of mixed-structure documents, balancing structured parameter extraction and integration of unstructured explanatory text.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
workflow_node_timeout | 300 seconds | Aerospace equipment documents are mostly long texts. Parameter parsing and marketing copy generation require extended processing time to avoid node timeouts interrupting the workflow |
sensitive_filter_threshold | 0.8 | Classified fields are mostly professional terms. A threshold that is too low will incorrectly filter normal marketing content, while a threshold that is too high will not effectively block sensitive information |
structured_parse_chunk_size | 800–1200 characters | Aerospace equipment parameter documents are mostly paragraph-style parameter descriptions. This segment length can fully contain a single set of parameters and supporting explanatory text |
api_concurrent_limit | 10–15 concurrent | Aerospace equipment marketing content generation requires calls to multi-node chains. This concurrency range balances call efficiency and node load |
knowledge_base_retrieve_count | top 3 results | Aerospace equipment marketing content requires precise matching of model parameters. Too many retrievals will introduce redundant information that interferes with generation results |
variable_mapping_rule | match marketing copy templates using engineering fields | Professional engineering parameters must be converted into customer-facing plain language. Fixing the correspondence between fields and templates improves content consistency |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing values.
Three Common Errors
- Phenomenon: When selecting a reference variable in the knowledge base search node of the workflow, the interface displays no selectable values. Cause: No output-capable structured parameter variable is configured in the workflow's upstream nodes, or the variable format does not meet FastGPT's reference requirements.
- Phenomenon: External calls to the workflow API return a
429 Too Many Requestsstatus code. Cause: The set concurrency exceeds the healthy concurrency threshold of the current deployment instance, and corresponding parameters are not adjusted based on node response speed. - Phenomenon: Undesensitized classified model codes appear in marketing content generated by the workflow. Cause: No sensitive information filtering node is configured in the workflow, or the sensitive filtering threshold is set too high to block classified fields.
How to Confirm Proper Configuration
- Run a test workflow for a single aerospace equipment document. Verify that the parameter verification node filters fields with non-compliant units, and confirm the accuracy of parameter extraction.
- Call the external API to initiate batch requests. Observe returned status codes, and adjust the
api_concurrent_limitparameter until no abnormal status codes are returned. - Upload a document containing test classified fields. Verify that the sensitive filtering node correctly blocks sensitive content and retains publicly available marketing information.
- Configure structured parameter variables in the workflow's upstream nodes. Verify that the reference variable drop-down menu in the knowledge base search node displays the configured variables.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.