What the Data for This Category Looks Like
Data sources for water utility intelligent due diligence include public water quality monitoring monthly reports from water utility regulatory authorities, operation ledgers of water supply enterprises, pipeline operation and maintenance logs, and test reports from third-party environmental monitoring institutions. Update frequencies cover real-time (pipeline pressure, water turbidity), daily (inlet and outlet water flow), monthly (operation costs, treatment volume), and annual (compliance audit reports). Document structure is divided into four modules: basic information (water plant location, designed treatment capacity), water quality indicators (COD, ammonia nitrogen, total phosphorus), pipeline operation and maintenance (pressure value, leakage rate), and financials (revenue, operation and maintenance costs). Fields include unique identifiers, timestamps, monitoring points, detection values, and more. Some monthly data from remote monitoring points has null values.
Constraints Imposed by These Characteristics on Tool Calling and Plugins
Multiple data sources require plugins to support integration with various API interfaces, including public government APIs and internal enterprise private APIs. Different authentication methods must be configured for these interfaces. Differences in update frequencies require tool calling to use distinct scheduled trigger frequencies. Real-time indicators require hourly calls, while monthly reports require monthly triggers. Long document structures require tool calling to support segmented parsing, to avoid context overflow. Field-specific units require the plugin's parameter verification module to match professional units such as mg/L, kPa. This prevents invalid data from entering the system. Null value fields require configuring filtering rules during tool calling, to skip entries without valid data.
Configuration Settings
| Configuration Key | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300-600 seconds | Water utility due diligence reports often contain multiple pages of monitoring data and operation logs, with significantly longer parsing times than general documents |
UPLOAD_FILE_MAX_SIZE | 500-1000 MB | Annual compliance audit reports include multiple consecutive periods of monitoring data, resulting in larger typical file sizes |
maxContext | 8000-12000 characters | Water utility data has a large number of fields, and sufficient context is required to retain professional terminology and associated data in long-text scenarios |
Recall count | Top 6-8 entries | Water utility indicators are highly correlated, and excessive recall will introduce redundant non-core monitoring data |
Similarity threshold | 0.75-0.85 | Water utility professional terminology accounts for a high proportion, so a relatively high matching threshold is needed to filter content unrelated to due diligence objectives |
tool_call_retry_times | 2-3 times | Some water utility government APIs have temporary rate limits, and retries can reduce the probability of call failures |
Three Common Misconfigurations
- Phenomenon: A water utility-specific plugin returns a
401 Unauthorizederror, even though the apikey configuration is correct. Cause: Theplugin_auth_typeparameter was not selected correctly, and the authentication protocol for the corresponding interface was not matched. - Phenomenon: In the due diligence report generated from a long document, the latter half of the water quality data was not correctly extracted, leading to deviations in scoring results. Cause: The
maxContextor segmented length parameter was not configured, causing context overflow and loss of the latter half of the data. - Phenomenon: A scheduled due diligence report generation task did not execute, with no task logs visible in the interface. Cause: The
schedule_task_enabledconfiguration item was not enabled, or the setcronexpression did not match the actual update cycle of water utility data.
How to Confirm Proper Configuration
- Review the authentication parameters in the plugin configuration interface, confirm that
plugin_auth_typematches the authentication method of the connected interface, and that theplugin_api_keyfield is filled correctly. - Upload a standard monthly water utility monitoring report, check the status of the parsing task, and confirm that parsing is completed within the time configured by
PARSE_FILE_TIMEOUT_SECONDSwith no timeout errors. - Trigger a tool call, check whether the units of the returned result fields match the water utility data standards, and confirm that the parameter verification module is active.
- Set a test
cronexpression, verify whether the scheduled task triggers as expected and generates a test report.
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require targeted analysis, and testing on local samples is recommended before finalizing.
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.