What data for this category looks like
Data for heating utility intelligent due diligence reports originates from operational management systems of public utility heating supply enterprises, pipe network monitoring terminals, and user billing systems. Data is synchronized in hourly batches. Some core monitoring point data is pushed in real time. A single report document includes five modules: heating station basic information, supply and return water parameters, pipe network loss rate, user heating usage statistics, and monthly energy consumption accounting. Fields include heating station number, supply and return water temperature, pipe network pressure, instantaneous flow, and cumulative heat supply. Their corresponding units are none, ℃, MPa, m³/h, and GJ respectively. No redundant derived fields are included.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
The hourly update characteristic of heating data requires multi-turn dialogue contexts to only retain the most recent valid query records. This prevents outdated monitoring data from being introduced. The fixed document module structure requires prompts to strictly limit extraction to fields explicitly marked in the document. Generating parameters not present in the report is prohibited. The multi-field parameter system requires multi-turn dialogue to guide users to clarify query dimensions one module at a time. This avoids output confusion caused by requests covering too many fields at once. The real-time pushed core monitoring point data requires prompts to prioritize matching the current session’s time interval. This ensures returned data aligns with the user’s queried time range.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 tokens | Heating utility intelligent due diligence reports contain multiple sets of parameter fields. Sufficient context preserves complete document parsing and dialogue association information |
contextExpireTime | 14400 seconds | Heating data is updated hourly. Context within 14400 seconds will not introduce outdated monitoring data older than 4 hours |
chunkSize | 800–1000 characters | Parameter descriptions in heating reports are clear. This segment length avoids splitting that breaks the associated information of single parameter groups |
similarityThreshold | 0.75–0.85 | Filters low-match non-heating-related document fragments. Ensures recalled content only relates to due diligence reports |
recallCount | Top 6–8 entries | Matches the number of fields in heating reports. Avoids recalling excessive redundant content that disrupts information extraction in multi-turn dialogue |
enableMCP | Enabled | Supports access to real-time heating monitoring data via MCP. Adapts to real-time query requirements in multi-turn dialogue |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing values.
Three Common Mistakes
- Phenomenon: The top title of the embedded mini-program dialogue page is accidentally modified and cannot be restored. Cause: The
customPageTitleparameter is not configured, or the parameter value is overwritten by front-end business code. This causes the temporary session title to override the preset configuration. - Phenomenon: The AI workflow node output exceeds the preset information range and includes unspecified additional content. Cause: The system prompt does not explicitly bind the parsing results of the heating due diligence report, or does not limit extraction to only the specified fields within the report.
- Phenomenon: Error code
403is returned when calling MCP to access heating data. Cause: The access permission parameters for MCP are not configured, or the prompt does not specify the data source range of MCP. This leads to the request being blocked.
How to Confirm Proper Configuration
- Upload a single heating utility intelligent due diligence report, initiate a targeted query, and verify that the output only includes the specified fields from the report.
- Initiate two queries with an interval longer than the configured context expiration duration, and verify that the second query cannot associate context information from the first query.
- After configuring MCP access, initiate a real-time heating parameter query, and verify that the returned data matches the parameter format of the preset data source.
- Check the embedded page’s title configuration, and confirm that the top page title does not automatically change with session content.
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.