What This Category of Data Looks Like
Civil aviation airport service inquiry data mainly comes from the official airport inquiry system, flight scheduling platform, terminal service ledger, and passenger service ticket library. There are two update rhythms: flight-related information is synced in real time, and the common passenger question bank is updated iteratively every week. Each single inquiry entry includes problem classification, trigger scenario, standard reply text, associated service resource ID, effective and expiration timestamps. All fields use standardized encoding formats. Units are uniformly characters, timestamps, and resource ID numbers.
What Constraints These Characteristics Impose on Workflow Orchestration
Reference only; verify against the target FastGPT release and deployment documentation. Real-time flight data sync requires a real-time data call node to be configured in the workflow. Static reading of offline knowledge base content cannot ensure replies match current flight status. The classification field of inquiry data requires the workflow to first execute a classification routing node. This splits inquiries from different business scenarios into corresponding knowledge base or large model call chains, reducing large model generalization error. The standardized encoding of associated service resource IDs requires retaining this field when passing the variables parameter in the workflow. This ensures replies can point to specific service nodes such as check-in counters and security gates. The weekly updated common question bank requires the workflow to be configured with a scheduled sync node. This regularly updates the knowledge base content to ensure reply timeliness.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Real-time data call timeout | 600 seconds | Civil aviation flight data interface responses typically take under 300 seconds; buffer time is reserved to ensure successful calls |
| Classification routing trigger condition | Match by problem classification field | Matches the problem classification field of inquiry data, routes to corresponding business chains |
| Knowledge base sync cycle | 7 days | Matches the weekly update rhythm of civil aviation common question banks, ensures reply content timeliness |
variables transfer rule | Retain associated service resource ID field | Ensures replies can point to specific service nodes, meets inquiry scenario requirements |
| Batch execution node loop limit | Top 20 entries | Adapts to the common concurrent volume of single-round airport inquiries, avoids resource overload |
| Single large model call context | 800–1200 characters | Matches the average length of civil aviation inquiry content, ensures reply accuracy |
Three Common Mistakes
- Phenomenon: When calling a workflow via API, batch execution nodes fail to complete all loop tasks, while online debugging runs normally. Cause: The
nodeIdparameter specifying the unique identifier of the batch execution node is not included in the request. The scheduling system cannot correctly trigger the node's loop logic. - Phenomenon: The temperature parameter setting entry cannot be found in the AI chat component. Cause: The variable key-value of the temperature parameter is not bound in the
variablesconfiguration item. The front-end interface does not render the corresponding setting button. - Phenomenon: The knowledge base search node only returns full knowledge base content, and cannot limit searches to a specified set of airport inquiry documents. Cause: No file ID filtering rule is added in the search configuration. The system retrieves all knowledge base documents by default, and does not match the exclusive business document scope of civil aviation airports.
How to Confirm Proper Configuration
- Submit a simulated inquiry request with a clear problem classification, and verify whether the workflow automatically routes the request to the corresponding business processing node.
- Call the workflow API and pass the complete
variablesparameter, then check whether the batch execution node completes all loop tasks. - View the system sync log, and confirm that the knowledge base has completed the latest civil aviation inquiry document update according to the 7-day cycle.
- Open the configuration interface of the AI chat component, and confirm that the temperature parameter setting control loads 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 2026-09-28.