What the data for this category looks like
Data for aviation and airport financial due diligence primarily comes from Civil Aviation Administration public reports, air traffic control real-time monitoring data, and official airport disclosure information. Update cadence falls into three categories:
- Real-time traffic data updates every 1 minute
- Monthly operation data is released within 5 working days of the following month
- Annual operation reports and renovation plans are updated by the end of March of the next year
Document structure includes four core modules: basic information, operation data, facilities, and safety. Fields include ICAO four-letter code, takeoff and landing sorties (unit: sorties), passenger throughput (unit: person-times), runway length (unit: meters), and others. Single document length ranges from hundreds of words for basic information to tens of thousands of words for annual reports.
What constraints these characteristics impose on tool calling and plugins
Multi-source heterogeneous data sources require calling multiple independent plugins, so parameter transfer rules and concurrency control between plugins must be configured. High-frequency updates of real-time data require short intervals for scheduled calling tasks, to avoid using expired data that reduces due diligence accuracy. Inconsistent field units require configuring standardization conversion rules within plugins, to ensure consistency of output data. Wide variation in document length requires adapting different segmentation and retrieval strategies, to balance semantic integrity and context length limits. The rule that ICAO code acts as a unique identifier requires mandatory verification in plugin input parameters, to avoid calling incorrect airport data.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
plugin_concurrent_limit | 2–3 concurrent | Single-interface QPS limits for official aviation-related APIs are mostly under 5. A concurrency of 2-3 avoids triggering rate limits |
plugin_timeout | 60 seconds | Covers scenarios including fast responses for real-time traffic data and moderate time costs for annual report crawlers |
rag_chunk_size | 800–1200 characters | Preserves complete semantic units such as tables and terminology in aviation-specific documents |
plugin_param_schema | Mandatory verification of ICAO four-letter code | Uses ICAO code as the unique identifier to prevent incorrect cross-airport data calls |
embedding_model | text-embedding-3-large | Adapts to text characteristics with many aviation-specific terms, improving vector matching accuracy |
recall_top_k | Top 6 entries | Balances multi-dimensional data coverage required for due diligence reports and context length limits |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Phenomenon: Tool calls return the
ECONNREFUSED 172.23.0.2:3001error, and plugin execution status is marked as failed. Cause: Local plugin service port mapping is not configured correctly, or the associated third-party data interface is not started normally. - Phenomenon: Retrieved due diligence data has inconsistent field units, with both "person-times" and "thousands of people" appearing simultaneously. Cause: No data standardization rules are configured for plugins, and unprocessed fields returned by the original interface are used directly.
- Phenomenon: Tool calls frequently trigger the
429 Too Many Requestserror. Cause: No QPS limit is set for plugin calls, exceeding the single-call limit of official aviation data interfaces.
How to confirm the configuration is complete
- Manually trigger a plugin call. Verify that core fields of the returned result are complete and units are consistent.
- Review plugin call logs. Confirm that the concurrency number does not exceed the preset limit and no rate limit-related errors occur.
- Compare real-time data interface calls made at different times. Confirm that the update frequency matches the configured scheduled task rules.
- Review the embedding model configuration. Confirm that the used model matches the model used for knowledge base indexing.
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.