What this category of data looks like
This category of data comes from ticketing systems, chat logs, product logs, and customer contract SLAs, with a daily or real-time update frequency. Daily documents include customer tickets, issue tiering tables, processing records, and service reports. Fields include unique identifiers, issue descriptions, tiering tags, associated product modules, assignment records, processing durations, and more. Tickets are archived by submission time. Issue tiering tables are divided into tiers based on business rules. Processing records are bound to corresponding ticket IDs. Service reports summarize ticket volume and processing status within a cycle.
What constraints these characteristics impose on workflow orchestration
Data for this category comes from scattered sources and updates in real time. Workflow orchestration must support pulling data from multiple sources and real-time triggers. The starting node must be bound to a customer feedback entry, matching the business characteristic of starting with customer feedback. The most time-consuming step is issue reproduction and impact scope judgment. Workflows must configure independent timeout handling rules for these nodes. Data errors can lead to response timeouts, SLA violations, and other consequences. Add SLA verification and exception branch jump nodes to the process. Multiple document types require workflows to support parsing and integrating data in different formats.
How to set configurations
This document is written based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Trigger Node Type | Triggered when customer feedback tickets are created | Matches the business starting logic, as this category begins with customer feedback entries |
| Multi-source Data Pull Switch | Enable pulling tickets, chat logs, and product logs | Corresponding category data comes from multiple systems, requiring integration of full business information |
variables Configuration | Bind ticket ID and issue tiering fields | Used to transfer core business parameters of this category between workflow nodes |
| Timeout Threshold Setting | 300-600 seconds | Matches the actual processing duration range of the most time-consuming links in this category |
| Knowledge Base Association Rules | Bind corresponding knowledge bases by issue type, no more than 5 | Enable calls to separate knowledge bases for different business rules and expert interpretations |
| Number of Failure Retries | 3 times | Prevents process interruptions caused by single network or data pull anomalies |
Three common misconfigurations
- Phenomenon: After triggering the knowledge base matching node, questions unrelated to the specified knowledge base still return answers from that knowledge base. Reason: No default branch jump rule for unrelated questions is configured, so the process defaults to the knowledge base matching branch.
- Phenomenon: The issue reproduction node in the workflow times out and returns status code 504. Reason: No reasonable timeout threshold is set for the most time-consuming link in this category, triggering a timeout after exceeding the preset duration.
- Phenomenon: External page nodes added to the workflow cannot jump normally. Reason: Incorrect link format is configured, or external access permissions for the node are not enabled.
How to verify proper configuration
- Submit a test ticket with no matching knowledge base, check whether the process jumps to the preset default reply branch.
- Simulate a long-time issue reproduction scenario, check whether workflow nodes complete execution within the set timeout threshold.
- Configure an external page node, enter a valid link, and verify whether the target page opens normally after clicking.
- View the
variablestransfer log between workflow nodes, confirm that core business parameters such as ticket ID and issue tiering fields are transferred normally.
The values provided are common starting points and should be measured 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.