What the Data for This Category Looks Like
Marketing-related data for the photovoltaic category mainly comes from three channels: publicly available technical documents from photovoltaic module manufacturers, distributed photovoltaic project data filed with provincial energy bureaus, and real-time quotes from domestic photovoltaic trading platforms.
Update frequencies fall into three categories:
- Module technical parameters are updated quarterly
- Project filing data is synced in real time with approval progress
- Market quotes are updated daily
Documents are presented in structured table format. Each record includes fields such as product model, peak power (unit Wp), photoelectric conversion efficiency (unit %), production batch, filing region, grid-connected electricity price subsidy standard (unit yuan/kWh), and installation cost range (unit yuan/kw).
Constraints on Tool Calling and Plugins
The data characteristics of the photovoltaic category impose multiple constraints on tool calling and plugins.
Differing update frequencies across multi-source data require configuring differentiated cache expiration policies for each data source during tool calls.
Structured fields include multiple units, such as Wp for peak power and yuan/kWh for subsidy standards. Built-in unit conversion logic must be included during tool calls to avoid call failures caused by mismatched parameter formats.
Project filing data must be filtered by region. The tool must accept region parameters input by users to pull filing information for the target area, and cannot directly use the full dataset.
There are multiple production batches for the same component model. Duplicate removal processing must be applied to records after tool calls to ensure no redundant information in generated marketing content.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_timeout | 60 seconds | The response time of photovoltaic-related external interfaces is usually 30-45 seconds. 60 seconds covers most latency scenarios and prevents mid-call interruptions |
plugin_cache_ttl | Component data cached for 7 days, quote data cached for 1 hour | Module technical parameters are updated at a low frequency. Long-term caching reduces repeated calls. Market quotes have high real-time requirements, so short caching ensures data timeliness |
field_unit_conversion_enabled | Enabled | Photovoltaic data includes multiple unit types. When enabled, it automatically unifies the output format to meet the standardized display needs of marketing content |
region_filter_param | Province field input by users | Photovoltaic subsidy policies and installation costs are strongly related to region. Data for the corresponding area must be pulled dynamically based on the region input by users |
max_tool_call_results | Top 10 entries | Marketing content needs to focus on core selection reference information. 10 results balance content richness and readability |
tool_call_duplicate_removal | Enabled | Multiple batch records exist for the same photovoltaic module model. Duplicate removal avoids generating repeated marketing content |
The parameter values provided on this page are common recommended starting points 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
- Symptom: Tool call parsing error with prompt
Tool call Parser error. Cause: The thinking content returned by the inference model is wrapped inthinktags and placed in thecontentfield, causing the parser to fail to recognize the standard tool call format. - Symptom: Cross-domain error returned when calling external interfaces, with
CORS policyprompt or status code403. Cause: No cross-domain allowed domain whitelist is added in the platform configuration, causing the browser to block cross-domain requests. - Symptom: Empty results or missing fields returned by tool calls. Cause: No region filter parameter is configured, and full photovoltaic filing data is pulled. The data volume exceeds the interface return limit, resulting in truncation of valid information.
How to Confirm Proper Configuration
- Initiate a tool call test, check whether the units of the returned results are unified, and confirm that the field conversion logic takes effect.
- Simulate user requests from different regions, verify whether the tool can pull photovoltaic data for the corresponding area, and confirm that the region filter parameter is configured correctly.
- View the tool call logs, confirm that the cache expiration times of different data sources meet the configuration requirements and match their respective update frequencies.
- Check the cross-domain configuration items, confirm that the test domain has been added to the whitelist, and verify whether cross-domain requests can be initiated normally.
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.