What data for this category looks like
Marketing-related data for aviation equipment in the financial sector comes primarily from manufacturer official technical specifications, approval documents released by airworthiness authorities, aviation equipment leasing quotation documents from financial institutions, and insurance rate tables. Update frequency changes with model iterations, compliance standard adjustments, or financial product updates, with no fixed cycle. Documents are mostly structured multi-chapter manuals, containing fields such as model parameters, leasing rates, and insurance coverage amounts. All parameter fields have clear units, such as kilograms, kilometers, ten thousand yuan, percentage, and others.
What constraints these characteristics impose on tool calling and plugins
The structured multi-chapter nature of aviation equipment financial marketing data requires precise matching of preset model parameters, financial rates, and other fields during tool calling, to avoid parameter misalignment caused by generalized parsing. The non-periodic data update cycle requires plugins to support manual triggering of knowledge base synchronization, or configure periodic incremental update tasks, to ensure consistency between financial quotations and model parameters. The clear unit characteristic of parameter fields requires mandatory verification of unit and value range consistency during tool calling, to prevent parameter exceptions caused by unit conversion or value exceeding limits. Some compliance-related confidential or undisclosed financial information requires configuring content filtering rules in plugins, to avoid output of non-compliant content.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 200 MB | Single technical or quotation document related to aviation equipment financial marketing usually does not exceed 200 MB; exceeding this threshold will cause upload timeout |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing long aviation equipment documents takes a long time; this setting avoids interrupting financial marketing content generation due to timeout |
TOOL_CALL_MAX_PARAMS | 15 | Tool calling for aviation equipment financial marketing content usually involves up to 15 associated fields such as model parameters, leasing rates, and insurance coverage amounts |
FILE_VAR_TRANSFER_TYPE | base64 encoding | Most aviation equipment documents are PDF or structured tables; base64 encoding ensures file format integrity during parameter transfer |
MAX_CONTEXT_LENGTH | 8000–12000 characters | Aviation equipment financial marketing content has a long context length, which needs to adapt to long-context tool calling requirements |
The parameter values provided on this page are common recommended starting points for configuration. 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 settings.
Three common mistakes
- Phenomenon: Tool calling returns the
413 Request Entity Too Largeerror code. Cause: The size of the uploaded aviation equipment financial marketing document exceeds theUPLOAD_FILE_MAX_SIZEconfiguration threshold. - Phenomenon: When calling the plugin via API, the file type variable is empty after transfer. Cause: The file parameters were not transferred using
base64 encodingformat, causing file content to be corrupted or unrecognizable during transmission. - Phenomenon: Local large model tool calling returns a parameter mismatch error. Cause: The tool calling parameter formats of the local large model and online API were confused, and the parameter configuration was not adjusted for the locally deployed model.
How to confirm the configuration is correct
- Upload a typical aviation equipment financial marketing document, check whether the upload progress and parsing status are normal, and confirm that the
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSconfigurations match the document scale. - Call the plugin via API to transfer a test file, check whether the returned result can correctly recognize the file content, and confirm that the file parameter transfer format configuration is correct.
- Configure the unit and value verification rules for tool calling, input parameters with different units or exceeding reasonable ranges, check whether the tool can correctly identify and block abnormal input, and confirm that the parameter verification logic takes effect.
- Call the tool calling interfaces of the local large model and online API separately, compare the parameter formats and returned results, and confirm that the configurations are adapted correctly for both scenarios.
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.