What the data for this category looks like
The data for this category mainly comes from publicly available industry statistical datasets of the national defense science and technology industry, regular announcements of listed military supporting enterprises, official disclosure information of space launch missions, and public market data sources from third-party industry monitoring platforms. Data updates follow a fixed schedule: routine updates of daily market conditions and yields are completed after daily market close. Temporary data updates will be triggered when major space mission nodes are announced. Each single data document includes core fields such as mission number, equipment model, supporting supplier, daily yield, mission progress percentage, and unit cost. Yield is a quantified value relative to a benchmark, mission progress percentage is recorded as a decimal, and unit cost is measured in yuan.
What constraints do these characteristics impose on the tool calling and plugins workflow
This category's data characteristics impose three core constraints on the tool calling and plugins workflow. First, multi-source and heterogeneous data sources require tools to support simultaneous connection to multiple data sources such as official announcements, corporate financial reports, and third-party monitoring platforms, to complete unified aggregation and format conversion of data. Second, the update rhythm that combines fixed-cycle updates and temporary triggers requires plugins to support both scheduled scheduling and manual trigger calling modes, to adapt to the reporting needs of routine daily reports and emergency tasks. Third, the specific requirements for fields and units require tools to have built-in field verification rules when called, to ensure that the units and field formats of returned data meet preset business standards, and avoid reporting exceptions caused by format errors.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_timeout | 120–180 seconds | Adapts to the typical time required for multi-source data aggregation and format verification, avoiding call failures caused by data pull delays |
tool_call_max_retry | 2 retries | Addresses temporary fluctuations in multi-source interfaces, avoiding excessive retries that consume system resources |
plugin_field_whitelist | Task Number, Equipment Model, Supporting Supplier, Daily Yield Rate, Task Progress Proportion, Unit Cost | Filters out irrelevant fields, only retaining the information required for core reporting of this category |
plugin_unit_validation | Enabled | Verifies the unit format of returned data, ensuring compliance with the preset formats for yield benchmarks, progress percentage decimals, and unit cost in yuan |
plugin_trigger_mode | Scheduled + Manual | Adapts to the dual requirements of daily routine updates and temporary triggers for major missions |
plugin_response_template | {"taskId":"","model":"","supplier":"","yield":"","progress":"","unitCost":""} | Unifies the output field structure, adapting to the format requirements of subsequent reporting links |
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, and it is recommended to test on your own samples before finalizing.
Three common configuration errors
- Symptom: Optional parameter configuration items disappear in the HTTP call parameter panel of custom tools. Cause: The "Variable Parameters" switch is not enabled in the FastGPT tool editing page, causing the system to hide the configuration entry for non-mandatory parameters.
- Symptom: Core fields in tool call return results are empty. Cause: The
plugin_field_whitelistparameter is not configured, causing the system to filter all preset core data fields and only retain irrelevant information. - Symptom: Tool call times out and returns a
504 Gateway Timeouterror. Cause: The set value oftool_call_timeoutis less than the actual time required for multi-source data pull and format verification, causing the call to be terminated before completion.
How to confirm the configuration is complete
- Enter the FastGPT tool test page, input a simulated data request for this category, and check whether the fields of the returned result match the preset output template.
- Trigger the tool's scheduled scheduling task, check whether the tool executes automatically at the preset time, and test the manual trigger function to confirm that the temporary call process works normally.
- Simulate the pull delay of multi-source interfaces, verify whether the tool's call timeout setting can correctly intercept timeout requests and return corresponding prompts.
- Manually input test data that does not comply with unit formats, confirm whether the tool's unit verification switch can normally trigger format verification prompts.
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.