What the Data for This Use Case Looks Like
Data sources for gas financing daily reports include internal financing ledgers of gas operating enterprises, local public utility supervision reporting systems, and corporate business interfaces of cooperating financial institutions. The data collection cycle completes on a T+1 basis: financing transactions occurring on the current day are included in the daily report the next day.
Each single record contains the following fields: gas enterprise entity name, financing occurrence date, financing amount, financing term, cooperating financial institution, and financing purpose. The unit for financing amount is ten thousand yuan. The unit for financing term is natural days or months. Field order and supplementary items vary across submitting enterprises.
Constraints for Multi-turn Dialogue and Prompt Engineering
The data sources for gas financing daily reports are scattered, and field formats are inconsistent. This requires multi-turn dialogue to first confirm the gas enterprise entity and query time range, to avoid invalid queries across industries or entities.
The daily T+1 data update feature requires explicit marking of data timeliness in the prompt, and prohibits promises of real-time financing data.
Differences in fields submitted by different enterprises require multi-turn dialogue to support users in supplementing required additional fields, or aligning fields in returned content.
Unit differences for financing amounts and terms require pre-defining unified rules in the prompt, to avoid unit confusion in returned results.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
searchTopN | Top 8–12 entries | The daily data volume of gas financing daily reports is usually within tens of entries. Too many recalled entries will cause context redundancy, while too few will miss key financing records |
maxContext | 10000–15000 tokens | Multi-turn dialogue needs to retain multi-round interaction history such as entity confirmation, time range, and field requirements, while accommodating summary data and single-record detail displays |
temperature | 0.1–0.3 | Financing data requires accuracy and rigor. A lower temperature coefficient reduces the generation of fabricated content |
promptPrefix | Only process financing daily report data for gas operating entities. First confirm the query entity and time range. Returned results must mark the data update timeliness as T+1 | Prevent the model from confusing financing data from other industries, and clarify the interaction logic of multi-turn dialogue in advance |
multiRoundMaxTurn | 5–7 turns | Queries for gas financing daily reports usually do not exceed 3 confirmation rounds plus 2 detail follow-ups. Excessive rounds will cause context overflow |
similarityThreshold | 0.75–0.85 | Need to filter low-relevance financing records, while retaining matching errors caused by field differences submitted by different enterprises |
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 testing on relevant samples prior to finalization is recommended.
Three Common Misconfigurations
- Symptom: When multi-turn dialogue exceeds the set number of turns, returned gas financing data shows entity confusion or missing fields. Results return to accurate after opening a new conversation. Cause: The
multiRoundMaxTurnparameter is not configured, causing context overflow and the model to lose previously confirmed enterprise entity and query time range information. - Symptom: After calling a SQL workflow to query financing daily reports, returned structured data cannot be correctly displayed as tables or lists in dialogue. Cause: The
tool_response_formatparameter is not configured, so the original SQL results returned by the tool are not converted into a format suitable for dialogue. - Symptom: In multi-turn dialogue, a single interaction only returns a summary of one financing record, and cannot display multiple eligible records in batches. Cause: The
prompt_templatedoes not explicitly allow batch return of results, or the value range ofsearchTopNis not adjusted, causing the model to only return a single record.
How to Verify Proper Configuration
- Initiate a test dialogue, enter the financing query requirement for a specified gas enterprise, and verify whether the model actively requests supplementary query conditions to confirm that the multi-turn interaction logic is effective.
- Import simulated gas financing daily report data, initiate multi-round follow-ups, and verify whether the returned results mark the data update timeliness and do not include financing records from non-gas industries.
- Call the SQL workflow to query simulated data, and verify that the returned results are correctly converted into a format suitable for dialogue display, which differs from the original query result text.
- Initiate multiple consecutive rounds of interactions, and verify that the returned results do not show entity confusion or missing fields, confirming that the context configuration meets the scenario requirements.
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.