What the Data for This Category Looks Like
Water utility marketing data is primarily sourced from water operation business systems, official service channels, and third-party public information. Core data sources include pipe network operation data from water supply dispatch systems, user consultation tickets from customer service centers, offline payment records and pipe network inspection reports, and user interaction logs from official accounts and mini-programs.
Update frequencies differ across sources: user consultation tickets and payment records update in real time, pipe network inspection reports update monthly, and official service content updates quarterly.
Individual data documents include request time, request type, response script, and service satisfaction score. Fields include water pressure anomaly duration (unit: hours), payment overdue days (unit: days), pipe network inspection point number, and no unified long-text aggregation format exists.
How These Characteristics Create Constraints for Multi-turn Dialogue and Prompting
Multi-source, heterogeneous data requires multi-turn dialogue to support cross-system data recall. Prompts must clearly specify call priorities for different data sources to avoid confusing business logic.
Differentiated update frequencies require setting reasonable expiration durations for conversation contexts. This prevents calling outdated pipe network inspection or payment data.
Fields with dedicated units require prompts to enforce output formats. Marketing scripts and consultation responses must include correct unit information to avoid user ambiguity.
Short-cycle user consultation scenarios require limited context windows for multi-turn dialogue. Invalid historical data must be filtered to reduce computational overhead.
How to Set the Configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 12000 characters | A single water utility ticket is approximately 1000 characters. The total context length for 12 turns of conversation is approximately 12000 characters, to avoid exceeding model context limits |
tokenCountDisplay | Enabled | Supports separately counting token counts for input (user consultation + recalled data) and output (marketing scripts). This optimizes cost and performance |
markdownRender | Enabled | Ensures marketing content is displayed as formatted rich text, without outputting markdown source code |
contextExpireTime | 30 minutes | Matches the average duration of a single water utility user consultation. Automatically releases conversation context after timeout to avoid redundant data occupying resources |
toolCallVerbose | false | Hides internal debug logs for tool calls. Only displays final marketing scripts and response results to end users |
recallThreshold | 0.6–0.8 | Balances recall accuracy and coverage. Adapts to the multi-source heterogeneous characteristics of water utility data |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules, and specific issues require specific analysis. It is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: Internal debug logs from tool calls are also output to the terminal conversation interface. Cause:
toolCallVerboseis not set tofalse, leading to exposure of internal execution details. - Phenomenon: Marketing scripts are output as unrendered markdown source code, without displaying formatted rich text effects. Cause: The
markdownRenderconfiguration item is not enabled, or the prompt template does not specify rendering requirements. - Phenomenon: Required water utility tickets or pipe network data are not recalled after initiating a multi-turn dialogue, making consultation responses impossible. Cause:
maxContextis set too small, orrecallThresholdis set too high, resulting in valid data not being included in the context.
How to Confirm Configuration Is Successfully Applied
- Initiate a test conversation with multiple rounds of water utility user requests. Verify that the interface displays token statistics for input and output separately.
- Submit a test request for marketing content containing markdown syntax. Verify that the output result is formatted rich text, and not markdown source code.
- Trigger the tool call process. Verify that the terminal conversation interface does not include internal execution debug log content.
- Wait for the preset conversation expiration duration, then initiate the same request again. Verify that the context has been reset.
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.