What the data for this category looks like
Airline and airport research report data mainly comes from official public data of civil aviation administration departments, annual operation reports of various airports, consulting reports in civil aviation sub-sectors, and securities firm financial industry research reports. Update rhythms cover daily flight dynamics, weekly throughput express, monthly operation data, and annual complete reports. Document structures usually include modules such as core operation indicators, route network layout, cost composition, and policy impact analysis. Core fields include passenger throughput (unit: person-times), cargo and mail throughput (unit: tons), takeoff and landing sorties (unit: sorties), per-seat cost (unit: yuan/person-times), etc. Some research reports also attach original regional civil aviation policy documents.
What constraints these characteristics impose on tool calling and plugins
The multi-source update rhythm of airline and airport research reports requires tool calling to support triggering data retrieval at different time granularities, adapting to different update cycles such as daily flight dynamics and monthly operation data. Multiple document formats and structured fields require plugins to have built-in format parsing and adaptation logic, capable of handling table extraction from PDF research reports and field alignment for Excel operation reports. Core indicators with specific units require plugins to have built-in unit verification rules to avoid errors such as using tons instead of person-times for throughput data. Some research reports contain undisclosed internal operation plans, so tool calling needs to configure a data source whitelist to only allow calling publicly authorized data sources.
How to set the configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_timeout | 300 seconds | Multi-source retrieval for airline and airport research reports usually requires integrating multiple data sources, and 300 seconds covers the response duration of most public APIs |
max_tool_calls | 3–5 times | Retrieval of airline and airport research reports usually requires pulling flight data, throughput data, and policy documents in sequence. 3-5 calls can cover core information acquisition and avoid invalid loops |
tool_source_whitelist | ["Civil Aviation Administration official website", "Airport official annual reports", "Public securities firm research report platforms"] | There are non-public internal data in airline and airport research reports. The whitelist can limit calls to only authorized public data sources |
field_mapping_strategy | Match units by indicator name | Core indicators of airline and airport research reports follow unified naming rules. Matching by name can avoid unit confusion |
refresh_interval | Configure according to data source type: 1 hour (flight dynamics), 7 days (monthly data), 365 days (annual reports) | Update cycles vary greatly across different data sources. Configuring by type balances data timeliness and call costs |
invalid_json_retry_count | 2 times | Temporary interface format fluctuations may occur during tool calls. 2 retries can cover most temporary exceptions and avoid direct failure returns |
The parameter values provided on this page are common recommendations for setting configuration starting points. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Scenario: Tool call returns an empty response with no airline or airport-related data. Cause: No industry-specific data source whitelist is configured, and the default general search interface cannot accurately match research report resources in the sub-sector.
- Scenario: Returns an Invalid JSON error, with a Bad control character prompt in logs. Cause: Field unit verification rules are not enabled, and the operation data pulled by the tool contains non-standard unit characters, resulting in JSON serialization failure.
- Scenario: Tool call nodes cannot add connection lines, and no connection trigger small circles appear in the interface. Cause: Dynamic parameter binding configuration for the node is not enabled, and the node only supports fixed input and output formats, making it impossible to establish link connections.
How to confirm the configuration is correct
- Initiate a tool call request, check if the returned core indicators include exclusive fields such as passenger throughput and cargo and mail throughput, and confirm that the data source matches the configured whitelist range.
- View the tool call logs, confirm there are no Invalid JSON errors, and check if the unit verification rule normally intercepts non-standard format indicator data.
- Test the link connection of the tool call node, confirm that connection lines can be added normally, and verify that the dynamic parameter binding switch is enabled.
- Trigger a scheduled refresh task, confirm that the update intervals of different data sources meet the preset configuration, and there are no abnormal timeout situations.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.