Tool Calls and Plugins for Electronic Component Yield and Market Daily Reports

The data for this category mainly comes from public component trading platforms, public data interfaces of industry associations, and compliant spot

What Data for This Category Looks Like

The data for this category mainly comes from public component trading platforms, public data interfaces of industry associations, and compliant spot trading channels. Data update rhythm is divided into two categories: real-time spot quotes refresh every 15 minutes, and listed trading contract data is updated after daily market close. The document structure of a single data entry includes fields such as model, brand, package specification, today's transaction price, unit quotation, update time, etc. The unit of unit quotation is yuan per thousand units, today's transaction price is the average transaction price for the corresponding trading period, and all data is archived and stored by trading batch.

Constraints on Tool Calls and Plugins

The uneven update frequency and scattered sources of data for this category require that the tool call process support a combination of on-demand pulling and scheduled refreshing, to avoid data lag caused by cache expiration. The structured requirements for multiple fields require preset field verification rules in tool configuration, matching fixed field names, while handling unit conversion logic for data from different sources. In addition, the large amount of data returned in a single batch requires configuring pagination parameters to limit the number of entries returned per single call, preventing interface call timeouts. Some data requires association with trading batch information, and batch filtering conditions must be additionally passed during tool calls to ensure the timeliness and accuracy of returned data.

Configuration Settings

Configuration ItemRecommended ValueRationale
plugin_data_refresh_threshold15 minutesMatches the refresh rhythm of spot quotes, avoids using expired data that affects the accuracy of yield rate calculations
request_timeout60 secondsReserves sufficient time to complete multi-source data aggregation requests, prevents interruptions from single call timeouts
batch_return_limitTop 20 entriesLimits the number of entries returned per single call, reduces front-end rendering pressure and interface bandwidth consumption
required_fields["型号", "单位报价", "更新时间"]Ensures returned data includes core calculation fields, avoids inability to complete broadcasts due to missing fields
source_priority["交易平台接口", "行业协会数据"]Prioritizes more timely trading platform data to improve the real-time performance of broadcasts
stream_chunk_interval1 secondAdjusts the return interval of streaming output to optimize the smoothness of front-end display

The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material forms, 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

  • Symptom: The links returned by streaming output only cover the current page and cannot jump to new pages. Cause: The stream_link_target parameter is not configured as _blank, and the default current-page jump logic is used.
  • Symptom: In version v4.8.10, the conversation log details do not match the actual answer content, and log content repeats after multiple conversations. Cause: Session isolation configuration is not enabled, causing log data from different sessions to be overwritten.
  • Symptom: The fields returned by tool calls are empty, making yield rate calculations impossible. Cause: The 当日成交价 field is not configured in required_fields, and the data source filters out incomplete trading entries.

How to Confirm Proper Configuration

  • Initiate a tool call request for a single model, check that the returned data includes required fields such as 型号, 单位报价, 更新时间, and that the unit of unit quotation conforms to the specification of yuan per thousand units.
  • Test the streaming output function, observe whether the return interval of the returned data matches the configuration value of stream_chunk_interval, and check whether links open in new tabs after clicking.
  • Initiate multi-batch call requests, check that the number of returned entries does not exceed the configuration value of batch_return_limit, and that log content from different sessions does not interfere with each other.
  • Wait 15 minutes and initiate the same request again, check whether the 更新时间 field of the returned data is refreshed, confirming that the data refresh logic takes effect.

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.