What the data for this category looks like
Semiconductor due diligence data sources include industry association public datasets, official disclosure documents from wafer foundries, and quarterly financial reports of listed semiconductor companies. This setup complies with financial due diligence compliance requirements. Wafer production capacity data is updated monthly. Process parameters are updated synchronously when new processes are released. Document structure includes core device parameters, supply chain association information, and detailed production capacity utilization data. Field units use industry standard units such as nanometers (for process nodes), watts (for chip power consumption), and wafers per month (for production capacity scale). Some fields have exclusive naming rules for different manufacturers.
Constraints imposed on tool calling and plugins
Semiconductor due diligence data sources are scattered, requiring integration with multiple different interface types. Financial due diligence scenarios require compliance for tool calls, so multiple endpoint integration logic must be configured and call logs recorded. Update cycles vary significantly across different data sources. Pull frequency must be configured separately for each data source to avoid affecting due diligence conclusions from expired data. Document structures are complex, and fields have industry-specific naming and unit specifications. Plugins must include built-in field mapping rules and unit conversion logic to prevent format errors in extraction results that would disrupt financial report standardization requirements. Some batch data interfaces return long content. The response length limit for tool calls must be adjusted to fully retrieve key information.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
tool_call_timeout | 300 seconds | Semiconductor due diligence tools mostly perform batch data pulls, with long single request durations. 300 seconds covers most scenarios |
max_tool_calls_per_round | 8–12 | Semiconductor due diligence requires calls to multiple types of data source interfaces. This range balances call efficiency and result completeness |
HTTP_REQUEST_TIMEOUT | 60 seconds | Semiconductor device parameter interfaces return large amounts of data. 60 seconds covers most normal response durations |
MCP_PROTOCOL | stdio | Private deployment versions have varying compatibility with the SSE protocol. The stdio protocol can stably integrate with most self-developed tools |
tool_response_max_length | 8000–12000 characters | Single interface return content for semiconductor due diligence data is long. This range fully retains key parameters |
plugin_field_extract_mode | structured_only | Semiconductor due diligence reports require standardized fields. Structured extraction directly adapts to subsequent report generation logic |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: When importing a custom plugin in private deployment version V4.14.1, the interface displays an internal server error prompt. Cause: The plugin metadata was not written in the JSON schema format required by FastGPT, causing the system to fail to parse the configuration.
- Phenomenon: In FastGPT V4.9.6, MCP tools packaged using the SSE protocol cannot be called. The interface prompts that only stdio processes are supported. Cause: The tool calling module of this version does not fully support the SSE protocol, and only supports stdio-type local tool processes.
- Phenomenon: After calling the HTTP request component, the extracted semiconductor production capacity fields are empty or have abnormal values. Cause: No field mapping rules were configured. Full response extraction was performed using wildcards directly, and no matching was done for industry-specific field names in the semiconductor sector.
How to confirm the configuration is complete
- Enter the plugin management page of FastGPT, check the running status of the target plugin, and confirm that no configuration exception or loading failure prompt is displayed.
- Create a new test session, call the configured semiconductor due diligence tool, and check whether the returned results include preset semiconductor-specific fields such as process nodes and production capacity scale.
- Check the system running logs, confirm that the tool calling timeout parameters match the configured items, and there are no connection timeout or internal error logs.
- After configuring the field extraction rules, upload a simulated response from the semiconductor due diligence data interface, and check whether the field units of the extraction results comply with industry standards.
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.