Multi-turn Conversation and Prompt Engineering for Industrial Park Financing Daily Reports

Data sources for industrial park financing daily reports include financing filings of settled enterprises from park operation management systems

What the data for this category looks like

Data sources for industrial park financing daily reports include financing filings of settled enterprises from park operation management systems, publicly disclosed information from local financial supervision platforms, and financing progress submitted independently by settled enterprises. Updates run on a fixed daily schedule, with full financing data from the previous day released each cycle. The document structure is grouped around settled enterprises. Each group includes financing occurrence time, financing subject information, financing amount, financing method, connected financial institutions, and other relevant content. Fields include enterprise unified social credit code, park local filing number, financing amount (unit: ten thousand yuan), financing method classification, and more. All fields must maintain a precise matching relationship between parks and their associated enterprises.

What constraints these characteristics impose on multi-turn conversation and prompt engineering

Multi-source data sources require multi-turn conversations to first confirm the user’s required data source scope, to avoid cross-platform data conflicts. The daily update schedule requires prompts to specify that only the latest data within the past 24 hours is called, and historical old data is prohibited from being referenced. The enterprise-grouped document structure requires multi-turn conversations to support follow-up questions for precise filtering by enterprise name and location, to avoid retrieving irrelevant park financing information. Precise field matching requires prompts to pass unique identifiers such as enterprise unified social credit codes when calling tools, to perform exact matching and reduce data matching errors.

Configuration Settings

Configuration ItemRecommended ValueRationale
maxContext8000–12000 charactersSingle industrial park financing daily reports are usually lengthy, requiring retention of complete context of enterprise financing details across multi-turn conversations
recall_top_kTop 6–8 entriesA single daily report contains a large number of settled enterprises; excessive recall will disrupt conversational precision
TOOL_CALL_TIMEOUT_SECONDS120 secondsPark financing data needs to be pulled and aggregated across multiple systems, requiring sufficient time for data synchronization
PARSE_FILE_MAX_LENGTH15000 charactersAdapts to the standard document length of a single industrial park financing daily report, avoiding content truncation
PROMPT_DOC_FILTERPrecise matching by enterprise unified social credit codeMeets the precise field requirements for industrial park financing daily reports, avoiding retrieval of irrelevant data
CONVERSATION_LANGzh-CNAdapts to the interface language needs of domestic users, avoiding English interfaces during iframe embedding

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 individual analysis, and it is recommended to test on your own samples before finalizing.

Three Common Misconfigurations

  • Tool call returns financing data that does not display in the conversation window. Data becomes visible after re-entering the session, but no tool call identifier is present. The cause is failure to configure the TOOL_CALL_DISPLAY parameter to full, resulting in truncated tool return results or failure to mount them to the conversation context.
  • Knowledge base calls fail to load financing daily report fragments for specified enterprises. The cause is failure to configure PROMPT_DOC_FILTER for precise matching by enterprise unified social credit code, resulting in retrieval of irrelevant park financing data.
  • The iframe-embedded conversation interface displays in English. The cause is failure to add the lang=zh-CN parameter to the iframe embedding code, resulting in loading of the default English language pack.

How to Verify Correct Configuration

  • Initiate a follow-up question containing a specific enterprise name, and check whether the corresponding enterprise's daily financing details are returned in the conversation window. Adjust the recall count value if no results are returned.
  • Check the tool call logs to confirm that the returned financing data fields include preset business fields. Update the prompt's field requirements if fields are missing.
  • Add the language parameter to the iframe embedding code, refresh the page, and confirm that the interface displays in Chinese. Verify parameter spelling and placement if the change does not take effect.
  • Trigger a tool call and wait for the preset duration, then confirm that the complete tool return result is displayed in the conversation window. Adjust the tool call timeout value if a timeout occurs.

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.