What Data for This Category Looks Like
Solid waste treatment research report data comes from four main sources: publicly available monitoring data released by ecological environment departments, annual reports from solid waste treatment industry associations, special research reports from third-party environmental consulting institutions, and publicly available bidding project documents. Three update cycles apply:
- Ecological environment monitoring data is updated daily or in real time.
- Industry association reports are released quarterly or annually.
- Special research reports are published irregularly, based on policy adjustments or new project launches.
Document structure includes five core sections: policy interpretation, technical process details, project cost accounting, pollutant emission indicators, and compliance requirements. Core fields include solid waste generation volume (unit: tons/year), treatment process type, pollutant emission concentration (unit: mg/m³), project investment amount (unit: ten thousand yuan), and additional relevant fields.
Constraints Imposed on Tool Calling and Plugins
Multi-source data requirements mean tool calling must support connecting to multiple heterogeneous data source interfaces, with different authentication and request parameters configured. Different update frequencies require layered caching strategies in the tool calling workflow: short cache cycles for high-frequency monitoring data, long cache or on-demand pulling for low-frequency industry reports. Complex document structures require field extraction rules in tool calling to accurately match core fields of solid waste treatment research reports, to avoid returning redundant content. Fields with specific units require unit conversion and validation logic to be configured in tool calling, to prevent parameter errors caused by inconsistent units.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxToolCalls | 3–5 times | Solid waste treatment research reports involve multi-dimensional data queries; too many calls may cause timeouts or excessive resource usage |
toolCallTimeout | 120 seconds | Some third-party environmental data source interfaces have slow response times; sufficient time must be reserved to obtain complete research report data |
fieldExtractSchema | Configured as "solid waste type, treatment volume, emission indicators, project cost" | Adapts to the core field structure of solid waste treatment research reports, reducing invalid returned content |
unitConversionEnable | Enabled | Multiple unit fields such as tons, kilograms, and mg/m³ exist in research reports; unified conversion to standard units ensures parameter consistency |
sessionPersistence | Enabled | Research report retrieval in the same scenario requires maintaining session context, avoiding repeated calls to the same data source or repeated initialization of configurations |
apiRequestRetryCount | 2 times | Addresses temporary interface fluctuations from some third-party data sources, reducing retrieval failures caused by temporary faults |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Raw execution logs or returned content from the tool calling module are forcibly displayed in the final reply, and cannot be hidden via interface settings. Cause: The
hideToolExecutionResultconfiguration item is not set to enabled, causing tool execution details to be directly exposed. - Phenomenon: Character garbling occurs after input text is transmitted, for example "分享" becomes "分交". Cause: No character encoding validation rules are configured for input text, causing misalignment of multi-byte Chinese encoding during transmission.
- Phenomenon: The HTTP request component cannot receive numeric parameters passed by the plugin, returning error logs starting with
Request failed with. Cause: Numeric parameters from the plugin are not converted to JSON format compliant with HTTP request requirements, causing parameter parsing failures.
How to Verify Successful Configuration
- Submit a retrieval request containing core keywords related to solid waste treatment, check that the final reply only displays the required research report summary, with no raw tool calling execution logs included.
- Manually input the text "分享" to trigger tool calling, verify that the parameter text passed to the interface matches the input content, with no character garbling.
- Submit two consecutive retrieval requests for the same scenario, verify that the two calls reuse the same session context, with no repeated initialization of data source connections.
- Pass a parameter containing numeric units, verify that the parameter format in the HTTP request body complies with the preset JSON structure, with no parsing errors.
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.