What the data for this category looks like
Business process data for basic telecommunications operations comes from internal operation support systems (OSS/BSS), offline service center ticket repositories, and logs from online self-service pages. Data updates sync in real time with business configuration changes. Package, processing node, and tariff rule data receives a full refresh daily. Ticket status data is pushed in real time. Documentation uses structured JSON format. Core fields include nodeId, node name, pre-verification rules, required processing materials, processing time limit (unit: hour), and connected system interface address. Each process node uses a unique nodeId as its identifier.
What constraints these characteristics impose on the "workflow orchestration" link
Reference only; verify against the target FastGPT release and deployment documentation. Structured node IDs and real-time updated business data require workflow orchestration to strictly bind nodeId to match business process nodes, to prevent process interruptions caused by misplaced nodes. Real-time synced ticket status data requires that real-time interfaces are called in workflow configuration to pull the latest status. Do not rely on static caching, otherwise discrepancies will appear between process nodes and actual business progress. Pre-verification rules and unitized processing time limits for each node require workflow orchestration to execute checks in node order, automatically trigger exception branches for timed-out nodes, and uniformly handle unit conversions across different nodes to avoid duration calculation deviations. The interface address field for multi-system integration requires that interface call parameters configured in the workflow exactly match the addresses in the data. Otherwise, business data cannot be pulled normally.
How to set the configurations
| Configuration Item | Recommended Practice | Rationale |
|---|---|---|
variables | Bind nodeId and the package ID of the current processing business | Match node identifiers and package fields in business data to enable dynamic calling of corresponding processes |
| Node trigger condition | Match business process nodes by nodeId | Strictly correspond to unique node identifiers in the data to avoid process misalignment |
| Interface call timeout | 10–15 seconds | Adapt to response delays of basic telecommunications system interfaces to avoid process interruptions due to timeouts |
| Maximum context length | 800–1200 characters | Match the single-node information length of business process documentation to avoid context overflow |
| Knowledge base dynamic assignment | Dynamically assign by business type in variables | Adapt to exclusive knowledge bases corresponding to different packages to enable precise guidance |
| Code run trigger condition | Execute only when nodeId matches a check node | Trigger code logic only at process nodes that require verification to avoid unnecessary computations |
Three common errors
- Phenomenon: The knowledge base does not automatically switch by business type during workflow runtime, and the knowledge base parameter in
variablesis empty. Cause: The mapping relationship between business type and knowledge base is not configured invariables, causing the dynamic assignment logic to fail to take effect. - Phenomenon: Truncation errors occur during AI model calls, and code run results are not passed into user queries. Cause: The output variables of the code node are not correctly referenced in the AI model's user query configuration, and the variable binding format is incorrect.
- Phenomenon: Process node execution order is disrupted, and some pre-checks are not triggered. Cause: Workflow nodes are not configured in the order of
nodeIdin the business data, leading to misplaced node matching.
How to confirm the configuration is correct
- Check the
variablesconfiguration item, confirm thatnodeIdand business type parameters are bound. Trigger variable assignment by simulating real business requests, and verify whether variables are generated as expected. - Pass test data with different
nodeIdvalues, run the workflow, and verify that the trigger order of each process node matches the node order in the business data. - Enable log output for code nodes, run the test process, and check logs to confirm that code run results are generated normally.
- Review the input configuration of the AI model, confirm that output variables of the code node are correctly referenced, with no format errors.
The values provided here 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 2026-09-28.