What the data for this category looks like
The data sources for aerospace equipment intelligent due diligence include public annual reports from aerospace industry groups, core parameter documents from complete aircraft manufacturers, Civil Aviation Administration airworthiness certification databases, and public financial reports and order information from upstream and downstream supply chain enterprises. Data updates follow three rhythms: complete aircraft model parameters are updated every six months. Airworthiness certification status is updated in real time as certification progresses. Supply chain order data is updated monthly. Document structures mostly use structured tables. Fields include complete aircraft model, empty weight, maximum endurance time, unit procurement cost per unit, core component suppliers, and more. Most units use professional measurement standards such as kilograms, hours, ten thousand yuan RMB.
What constraints these characteristics impose on tool calling and plugins
The multi-source, decentralized nature of aerospace equipment due diligence data requires tool calling to connect to multiple independent APIs or plugins at the same time. It also requires handling format differences and permission restrictions across different data sources. Differentiated cache refresh policies must be configured for data sources with varying update rhythms. This prevents due diligence result distortion from expired data. Standardization requirements for professional fields mean tool call return results must undergo verification. Fields such as airworthiness certificate numbers and core component models must comply with industry specifications. The long document structure requires tool calling context length to match a single due diligence document. This prevents key information from being truncated.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
tool_call_max_parallel | 2–4 | Excessive concurrency triggers rate limits on most aerospace equipment public APIs. A value of 2–4 balances efficiency and stability. |
plugin_request_timeout | 300 seconds | Some supply chain data queries cross multiple hierarchical nodes, leading to high response delays. 300 seconds covers most query scenarios. |
max_context | 8000–12000 characters | Single aerospace equipment due diligence documents have long lengths. Sufficient context must be retained for tool calling decision-making to avoid losing key information. |
mysql_batch_query_enable | Enabled | Multi-row INSERT/SELECT statement batch execution must be supported. This meets batch import and query requirements for supply chain data. |
tool_call_post_process | Enable custom code post-processing | Core fields such as airworthiness certificate numbers and complete aircraft models must be extracted. Format errors in tool call return results must also be corrected. |
The parameter values provided on this page are conventional recommendations used to establish 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 Mistakes
- Phenomenon: Frequent 429 Too Many Requests errors occur when calling multi-data-source plugins. Cause: The
tool_call_max_parallelparameter was not adjusted, and the number of concurrent requests exceeded the rate limit threshold of the aerospace equipment data source public APIs. - Phenomenon: No airworthiness certification fields appear in tool call return results, or the field formats do not comply with aerospace equipment professional specifications. Cause: The
tool_call_post_processconfiguration was not enabled, and no professional field verification and standardization processing was performed on the return results. - Phenomenon: Only the first SQL statement takes effect when the MySQL plugin executes multi-row queries, with no execution records for subsequent statements. Cause: The
mysql_batch_query_enableconfiguration was not enabled. By default, only single SQL statement execution is supported.
How to Confirm Configuration is Complete
- Call a test data source. Observe the return status of concurrent requests. Adjust
tool_call_max_parallelto a value that does not produce 429 errors. - Execute a test request with multi-row SQL statements. Confirm all statements execute normally and return expected results.
- Trigger tool calling. Check if the custom post-processing code correctly extracts core fields such as airworthiness certificate numbers and complete aircraft models.
- View plugin request logs. Confirm the
plugin_request_timeoutsetting is sufficiently long, and no timeout errors occur.
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.