This document applies to FastGPT v4.17.0.
What This Category of Data Looks Like
Data for this category typically comes from first-hand on-site materials including customer on-site data center environments, equipment lists, software packages, network topologies. Daily supporting documents include deployment manuals, installation records, configuration lists, and on-site check-in sheets. Data updates occur once per order or per deployment phase. Each task corresponds to an independent field set, with scattered fields that lack unified formatting such as device model, software version, network port, and configuration parameters. No standardized preprocessing has been applied to this data.
Constraints These Characteristics Impose on Workflow Orchestration
The data is scattered and lacks unified formatting. Sources cover multiple types of on-site materials. Supporting document types are diverse. Updates are adjusted per order or phase. These characteristics create the following requirements for workflow orchestration:
- Support dynamic binding of multi-source data to adapt to differentiated configurations across different customer sites.
- Support custom configuration for individual tasks without requiring a unified global template.
- Orchestrate nodes according to the fixed process of environment inspection, software installation, and configuration verification to match the standard sequence of on-site deployment links.
How to Configure Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
variables | Bind custom fields from deployment manuals and equipment lists | Category data comes from deployment-related documents, requiring dynamic association with task-specific fields |
nodeId | Assign unique identifiers according to environment inspection, software installation, configuration verification | On-site deployment link sequence is fixed, requiring precise control of node trigger logic |
| Trigger Condition | Trigger the next node after each phase of tasks is completed | Data update frequency is once per order or per deployment phase, matching task rhythm |
| Timeout Threshold | 300-600 seconds | Adapt to the average time consumption of each on-site deployment link, avoiding invalid waiting |
| Cycle Switch | Enable or disable per order | Support the cycle verification requirements of multi-phase deployment, matching actual business scenarios |
Three Common Mistakes
- Workflow variable calls return a "field not found" error. The cause is failure to correctly bind the
variablesparameter according to the document structure of category data, using generic variable writing that does not match the on-site deployment field format. - Tool calls work normally in debug mode, but return a "data source mismatch" error in runtime mode. The cause is that the runtime mode does not associate the dedicated data source for on-site deployment, only loading static configuration data from the debug environment.
- Workflow cannot implement cycle execution for multi-phase deployment, and nodes do not trigger repeatedly according to the preset sequence. The cause is failure to correctly configure the cycle trigger condition, and not associating the link node corresponding to
nodeId.
How to Confirm Proper Configuration
- Verify that the fields bound to
variablesfully match the fields in the current task’s deployment manual and equipment list. - Test that nodes corresponding to
nodeIdtrigger in the preset sequence, confirming that link transfer logic works correctly. - Adjust the timeout threshold to the
300-600 secondsrange, confirming that each link completes within a reasonable timeframe. - After enabling the cycle switch, test that the cycle verification process for multi-phase deployment runs normally.
The values provided 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 2026-10-19.