Data sources and structure for this category
Data related to urban gas service inquiries and replies mainly comes from gas enterprise business ticket systems, official service guide libraries, and historical customer service inquiry records. Business ticket data includes structured fields such as ticket number, user contact information, processing node, and processing time limit. Service guide documents include fixed fields such as item name, application conditions, required materials, and processing flow. Historical inquiry records are interactive text between users and customer service. Reference only; verify against the target FastGPT release and deployment documentation.
Constraints imposed on workflow orchestration
The real-time nature of business tickets requires the workflow to pull the latest processing progress in real time when responding to user inquiries, so a real-time data source access node must be configured. The fixed field structure of service guides requires the workflow to split retrieval keywords by field to avoid irrelevant results from generalized retrieval. User inquiries often carry specific address information such as house numbers and community names, so addresses must be passed as variables to workflow nodes to ensure precise retrieval scope. The high-frequency updates of historical inquiry records require the workflow to be configured with an incremental synchronization mechanism to avoid interference from old data on current replies.
Configuration settings
| Configuration Item | Recommended Value | Basis for This Setting |
|---|---|---|
variables | Pass user address, processing item, ticket number | Gas service inquiries are often associated with specific business documents and location information; accurately passing these details improves retrieval matching accuracy |
| Knowledge base synchronization frequency | Incremental synchronization every 30 minutes | Gas service guides and ticket data are updated frequently, so reply data timeliness must be maintained |
| Node trigger condition | Trigger based on keyword matching from user input | Gas business items have clear classifications, and keywords can quickly locate corresponding workflow branches |
| Context window length | 8000–12000 token | Gas service processes include multi-step information, so complete context must be retained to ensure coherent replies |
| Single retrieval limit | Top 3 matching results | The number of gas service-related documents is concentrated; too many results will interfere with core information extraction |
nodeId | Bind the unique identifier of the corresponding business node | Precise control of workflow flow to branches such as gas installation, payment, repair request, and other related business operations |
Three common configuration errors
- Phenomenon: Workflow-exported conversation records only include the last 6 questions, and all historical interactive content cannot be exported. Cause: The context length parameter in
variablesis not configured correctly, or the set context window is too small, only retaining a small amount of the latest conversation content. - Phenomenon: When three workflow nodes are connected simultaneously, only one branch is executed, and the remaining branches have no response. Cause: Parallel flow configuration is not enabled; the workflow defaults to only matching the first node that meets the trigger conditions, and does not execute multiple branches simultaneously as configured.
- Phenomenon: Gpt-4o-mini call error logs appear during workflow runtime, but the model node is not actively configured. Cause: Residual unused model nodes in the workflow are not deleted, or false positive logs caused by version adaptation issues.
How to verify a complete configuration
- Test data including user address, processing item, and simulated ticket number is input, and whether the workflow accurately pulls the corresponding business data is verified.
- The parallel branch node is triggered, and whether all configured branches execute normally and return corresponding results is confirmed.
- Complete conversation records are exported, and whether all historical interactive content is included without truncation is checked.
- Workflow runtime logs are reviewed, and whether unconfigured model call error messages are absent is confirmed.
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 2026-09-28.