What This Category’s Data Looks Like
Semiconductor marketing-related data primarily comes from original equipment manufacturer (OEM) product specifications, supply chain inventory ledgers, industry new product announcements, and competitor parameter comparison documents. Data update schedules fall into three categories: real-time synchronization during new product launches, quarterly updates for quarterly supply and demand data, and daily refreshes for inventory and lead time data. Document structures include structured parameter tables and unstructured descriptive text. Structured fields include product model, process node, maximum operating frequency, static power consumption, package type, and lead time. The unit for process node is nanometers, power consumption is milliwatts, and lead time is weeks. Unstructured text includes product application scenario descriptions and marketing selling point explanations.
What Constraints Do These Characteristics Impose on Tool Calling and Plugins
Semiconductor marketing data has numerous structured fields with specialized units, requiring the tool calling parameter parsing module to precisely match field names and units to avoid parameter errors caused by generalized parsing. The update frequencies of different data types vary significantly: lead time data must be pulled daily, and new product data must be synchronized in real time. This requires plugin configurations to support setting different cache periods and pull frequencies based on data type. Marketing content generation often requires parameter comparison across multiple data sources, so tool calling must support simultaneous calls to OEM data interfaces, inventory interfaces, and competitor data interfaces, then combine and output structured information for content creation.
How to Configure
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
function_call_max_count | 3–5 times | Call multiple semiconductor data source interfaces in a single conversation; limit the count to avoid context overflow |
plugin_request_timeout | 10–15 seconds | Semiconductor OEM interfaces have stable response times; set a reasonable duration to avoid invalid waits |
cache_expire_seconds | Lead time data: 86400 seconds, new product data: 0 seconds | Match the update frequencies of different data types, balance real-time performance and call efficiency |
allowed_units | ["nm", "mW", "GHz", "周"] | Limit recognizable units to avoid parsing errors and adapt to semiconductor data formats |
parallel_function_call | Enabled | Support simultaneous calls to multiple data source interfaces, improve generation efficiency for cross-parameter comparison |
function_call_prompt_template | Extract according to semiconductor product parameter formats | Preset templates adapt to structured parameter parsing, reduce generalization errors |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material forms, 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: After enabling the tool calling function, the large model output only contains tool calling instructions and does not show intermediate reasoning processes. Cause: The thinking process output configuration item is not enabled, or the selected model does not support both tool calling and thinking process generation.
- Phenomenon: The parameter values returned by tool calling have incorrect units, for example, displaying process node as "microns" when the actual unit should be "nanometers". Cause: The
allowed_unitswhitelist is not configured, and the large model uses non-semiconductor-specific units during generalized parsing. - Phenomenon: Tool calling requests time out and return a 504 status code. Cause: The set
plugin_request_timeoutduration is too short and does not match the normal response time of semiconductor OEM interfaces.
How to Confirm Successful Configuration
- Initiate a test conversation with a semiconductor product parameter query, verify that the parameters returned by tool calling match the preset unit and field rules.
- View tool calling operation logs, confirm that the pull and cache durations of different data types meet configuration requirements.
- Check conversation return results, confirm that they include the enabled thinking process and data source reference information.
- Initiate a cross-data-source parameter comparison query, confirm that the tool simultaneously calls multiple configured data source interfaces and combines and outputs 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.