What the data for this category looks like
Water treatment research report data sources include water quality monitoring bulletins published by ecological environment authorities, technical guidelines released by water treatment industry associations, on-site test reports from third-party environmental monitoring institutions, and completion documents for water treatment projects. These data are often used by financial institutions for investment research and analysis of the environmental protection industry.
Update cycles vary: water quality monitoring data is updated monthly or quarterly, technical standard documents are revised irregularly, and industry research materials are released annually.
Document structures typically include modules such as basic project information, influent water quality indicators, treatment process descriptions, effluent water quality test data, and operation and maintenance parameter records. Common fields include influent flow rate, COD concentration, sludge concentration, and treatment duration, with corresponding units of m³/h, mg/L, mg/L, and hours respectively. Some documents also include parameters such as equipment operating voltage and power.
What constraints these characteristics impose on tool calling and plugins
The data sources for water treatment research reports are scattered and have diverse formats, including structured monitoring tables, unstructured process descriptions, and project documents. This requires tool calling to support parsing multi-format data and extracting fields. Plugins must adapt to API interfaces and permission rules of different data sources.
Update cycles differ across data types: monthly water quality monitoring data and annual industry research materials have different update cycles. Tool calling must configure corresponding data synchronization trigger logic to avoid calling expired information.
The unit system for professional fields is relatively independent, such as flow unit m³/h and concentration unit mg/L. Tool calling must build in unified unit conversion logic to ensure the accuracy of parameter matching.
Individual research reports are relatively long. Tool calling must adapt to context configuration for long-text processing to avoid truncation of key information. At the same time, this type of data often involves environmental compliance requirements. Plugins must support data traceability and compliance check related logic.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
toolCallModel | qwen3.5-plus | Adapts to long-text research report parsing and multi-round tool calling logic, meeting the accuracy requirements for professional parameter extraction |
maxContext | 8000–12000 characters | Adapts to the long-text content of individual water treatment research reports, avoiding truncation of key process and parameter information |
toolCallRateLimit | 10 requests per minute | Matches the rate limiting rules of most models and third-party data sources, avoiding triggering 429 rate limit errors |
PLUGIN_AUTH_TYPE | api_key authentication | Adapts to the identity verification requirements of most water treatment industry data sources, ensuring compliant data access |
PARSE_FILE_MAX_SIZE | 50 MB | Covers the document sizes of most water treatment research reports, avoiding parsing failures |
toolCallRetryCount | 2 retries | Addresses temporary network fluctuations or interface call failures, reducing the number of invalid retries |
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, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: Tool calling returns a 429 status code, with an error message containing "Request rate increased too quickly". Cause: The
toolCallRateLimitparameter is not configured, or the value is set too high, exceeding the rate limiting threshold of the model or third-party data source. - Symptom: Plugin verification fails when configuring in the beta4 version, with a MongoServerError related error returned in the logs, including an abnormal prompt for the "dollar ($)" field. Cause: The MongoDB version is not matched. The internal query statement of the plugin uses field names prefixed with $, which conflicts with the naming restrictions of older MongoDB versions.
- Symptom: Water treatment parameters returned by tool calling have mixed units, with values of different units directly concatenated. Cause: The unified unit conversion logic is not enabled in the tool calling configuration, or the configuration is not adapted to the professional unit system of the water treatment industry.
How to Confirm the Configuration Is Complete
- Check the tool calling run logs to confirm that all call return statuses are normal, with no abnormal errors.
- Manually trigger a water treatment research report parsing task, and check that the extracted fields match the preset parsing rules.
- Verify the plugin authentication logic: initiate a call using invalid credentials, and confirm that the corresponding authentication failure prompt is triggered.
- Adjust the context window configuration for tool calling, upload a long-text research report, and confirm that key information is not truncated.
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.