Tool Calling and Plugins for Automated Equipment Research

Data characteristics of automated equipment research reports

The data sources for automated equipment research reports mainly include brokerage industry research reports, public data from industry associations, and technical white papers from equipment manufacturers. The update rhythm is flexibly adjusted based on major events such as new product launches and production capacity adjustments, with no fixed cycle. Document structures typically include modules such as equipment model parameters, production capacity data, downstream application scenarios, and cost composition. Core fields include equipment model, rated production capacity, sales unit price, and revenue scale. Units mostly use industrial measurement standards such as units/year, ten thousand yuan/unit, and hundred million yuan.

Constraints on tool calling and plugins

Decentralized multi-source data requires tool calling to support multi-source aggregation configuration, to avoid missing core industry data. No fixed update cycle requires configuring an incremental trigger mechanism, so that recall runs only when data sources are updated. Complex structured fields and multi-unit systems require plugins to include structured field extraction and unit standardization steps, to prevent unit confusion in returned results. Long text and multi-table document structures also require tool calling timeout thresholds to be adjusted for long document parsing, to avoid mid-process interruptions.

Configuration recommendations

Configuration Item	Recommended Value	Rationale
`tool_call_hidden`	`true`	Automated equipment research reports have long content. The intermediate execution process of tool calling does not need to be displayed in the chat window, to avoid information redundancy
`PARSE_FILE_TIMEOUT_SECONDS`	`120 seconds`	A single automated equipment research report often contains multi-page parameter tables and long text analysis, with higher parsing time than general documents
`retrieve_top_k`	`8–12 results`	Automated equipment research reports have many detailed parameters. Too many recall results introduce irrelevant information, while too few fail to cover core requirements
`plugin_stop_sequence`	`Appendix, Data Source`	Automated equipment research reports often end with appendices or data sources. Clear termination identifiers for tool calling are required
`structured_field_mapping`	`Capacity: Units/Year, Unit Price: Ten Thousand Yuan/Unit`	Automated equipment research reports use multiple unit systems. Pre-configured mapping rules between fields and units are required to avoid result confusion

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing values.

Three common configuration mistakes

Frequent display of tool calling API requests and intermediate return logs in the chat window. Cause: The tool_call_hidden configuration is not enabled, or the configuration value is set to false.
No response after tool calling node execution, with connection timeout shown in logs. Cause: PARSE_FILE_TIMEOUT_SECONDS is not adjusted to a duration suitable for automated equipment research reports, or the database connection string does not have multi-source aggregation routing rules configured.
Base64-encoded parameter charts attached to automated equipment research reports cannot be rendered in the chat window, but display normally in online tools. Cause: The markdown_image_render_max_size threshold is not configured, or the encoding length exceeds the platform default limit.

How to verify correct configuration

Initiate a tool calling test for automated equipment research report retrieval. Check that the chat window only displays the final answer, with no intermediate execution logs, to confirm that the tool_call_hidden configuration is effective.
View tool calling execution logs, confirm that the time taken to parse a single research report does not exceed the configured PARSE_FILE_TIMEOUT_SECONDS threshold, and adjust the threshold to match the document length.
Import an automated equipment research report containing multi-unit fields, check that the units of the structured extraction results match the preset structured_field_mapping, and adjust the mapping rules as needed.
Test parsing of research reports with base64-encoded charts, confirm that images render normally, and adjust relevant configuration thresholds to match the encoding length.

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.