What the Data for This Category Looks Like
The data sources for wind power research reports primarily include specialized reports from power equipment teams at securities research institutes, monthly/quarterly reports from industry associations, and public technical documents from wind turbine manufacturers and component enterprises. Update cadence covers real-time policy announcements, weekly industry updates, monthly installation data, and quarterly in-depth analyses. Document structures typically include industry overviews, installation capacity and power generation data, core component technical analyses, project cases and cost calculations. Fields include installed capacity, power generation, project cost, and more, with units mostly following power industry standard units such as GW, GWh, yuan/kW.
Constraints for Tool Calling and Plugins
Dispersed data sources require integration with multiple external interfaces, so plugins must support multi-data-source authentication and data aggregation. Significant differences in update frequencies across data sources mean plugins need to support both scheduled synchronization and on-demand pull trigger rules. Documents contain both structured data and unstructured text, so tool calling must support both text chunk retrieval and structured field extraction. Inconsistent wind power-specific terminology and units require plugins to include field standardization conversion capabilities, to avoid unit confusion or broken professional content in retrieval results.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
request_timeout | 300 seconds | Wind power research reports have large content volumes, and external interfaces take longer to return data. Sufficient request duration must be reserved. |
chunk_size | 800–1200 characters | Wind power research reports contain many technical terms and long paragraphs. Too small a chunk size will break professional logical connections, while too large a chunk size will exceed model context limits. |
recall_top_k | Top 8–12 results | Wind power niche sector research reports are relatively specialized. Too many recalled results will introduce irrelevant content, while too few will fail to cover core information. |
context_window | 16384–32768 tokens | Single in-depth wind power research reports have long content. This range adapts to the long context processing capabilities of large models and avoids content truncation. |
dynamic_param_binding | Enable global variable mapping | Supports passing dynamic tokens and interface keys based on different scenarios, adapting to multi-data-source calling requirements. |
unit_conversion_rule | Map units per industry standards | Unifies units for fields such as installed capacity and power generation across different data sources, avoiding unit confusion in retrieval results. |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: Returns 422 Unprocessable Entity error code when calling external research report data sources. Cause:
Content-TypeorAuthorizationparameters for interface requests are not configured correctly, or the passed token does not include the required permission scope. - Symptom: Workflows cannot pass dynamic tokens based on different scenarios, leading to failed interface calls. Cause: Global workflow variables are not correctly bound to external interface request parameters, and dynamic parameter replacement functionality is not enabled.
- Symptom: Local models fail to accurately answer professional questions from wind power research reports. Cause: Local model training data does not cover wind power niche sector technical terms, and appropriate context window parameters are not configured.
How to Verify Proper Configuration
- Send a test request to the external interface, check that the response code is 200 and that the returned content includes core wind power research report fields such as installed capacity and power generation.
- Review workflow run logs, confirm that dynamic tokens are correctly bound to interface request parameters, with no missing parameters.
- Run a retrieval test, check that the units of recalled research report content fields are unified, and that there are no misunderstandings of technical terms.
- Adjust chunk size and context window parameters, verify that retrieval results for long-text research reports have no content truncation or logical breaks.
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.