Tool Calling and Plugins for Optoelectronics Industry

What the data for this category looks like

The data for this category mainly comes from broker electronic industry research teams, publicly available statistics from industry associations, operational data disclosed by leading panel and optical component enterprises, and professional supply chain databases. Regular industry dynamic research reports are updated weekly. Quarterly performance-related reports are released within 3 working days after the corresponding enterprise’s financial report is disclosed. Annual industry white papers are updated 1-2 times per year. Document structures usually include core operational indicators, industrial chain supply and demand data, price trend modules, and upstream and downstream correlation analysis content. Common fields include panel shipment volume, lens module qualification rate, and raw material purchase prices, with corresponding units of pieces, qualification percentage, and yuan respectively.

Constraints on tool calling and plugins

The data characteristics of optoelectronics industry research reports impose multiple constraints on tool calling and plugins.

First, industry data has a short update cycle. Regular dynamic reports are updated weekly, and quarterly reports are released quickly after financial reports are disclosed. Tools must support scheduled synchronization of the latest data sources to avoid retrieval results relying on outdated information.

Second, the length of individual research reports varies significantly. Long documents can reach tens of thousands of characters. Tools must adapt to long text segmentation processing to avoid truncating core data or triggering timeouts.

Third, research reports contain multi-dimensional heterogeneous fields and inconsistent units. Plugins must support field standardization configuration to ensure unit consistency in retrieval results.

Fourth, document structures include independent data modules. Tools must support targeted recall by module to avoid introducing irrelevant content that interferes with retrieval accuracy.

Configuration settings

Configuration Item	Recommended Value	Rationale
`maxContext`	8000–12000 characters	Adapts to the average length of individual optoelectronics industry research reports, avoids truncating core operational and supply and demand data
`PARSE_FILE_TIMEOUT_SECONDS`	300 seconds	Covers the parsing time of long research reports, avoids task failure caused by parsing timeouts
`Recall count`	Top 8–12 entries	Filters redundant non-core content while covering multi-dimensional data modules in research reports
`Similarity threshold`	0.75–0.85	Filters research report content strongly related to optoelectronics topics, reduces interference from low-correlation information
`UPLOAD_FILE_MAX_SIZE`	200 MB	Adapts to the typical total size of a single research report plus attachments, avoids upload failures
`Rerank result count`	Top 3–5 entries	Focuses on core conclusions and key data, aligns with practical display requirements for retrieval results

The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Each scenario requires targeted analysis. It is recommended to test on your own samples before finalizing settings.

Three common mistakes

Symptom: Core data is missing or inaccurate in retrieval results for long optoelectronics industry research reports. Cause: The maxContext parameter was not adjusted to fit the long text length, resulting in truncation of research report content and failure to fully extract key operational data.
Symptom: An "Invalid parameter" error is prompted when calling the research report retrieval plugin. Cause: The value range for Recall count was not configured as required, and a value outside the reasonable range was passed in.
Symptom: The tool returns a timeout status after execution, and corresponding points are deducted. Cause: The PARSE_FILE_TIMEOUT_SECONDS setting is too short. The parsing time for long research reports exceeds the threshold, causing task interruption and fee deduction.

How to verify correct configuration

Upload a single optoelectronics industry research report, check the integrity of the parsed text, and confirm that maxContext and file upload limit configurations meet the document length requirements.
Initiate a targeted retrieval request, check the domain relevance of the returned results, and adjust the Similarity threshold to a range that meets your needs.
Verify the timeout logic of the tool call, simulate a long document parsing scenario, and confirm that the PARSE_FILE_TIMEOUT_SECONDS configuration covers the parsing time.
Test the parameter transfer function of the plugin, and confirm that the custom configured Recall count and Rerank result count can properly affect the retrieval results.

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.