Multi-turn Dialogue and Prompt Engineering for Refractory Material Yield Rates

Market and yield rate data for refractory materials primarily comes from research data from domestic refractory materials industry associations

What the Data for This Category Looks Like

Market and yield rate data for refractory materials primarily comes from research data from domestic refractory materials industry associations, listed quotes from spot trading platforms, purchase ledgers from downstream steel and building material enterprises, and supply chain financing yield rate ledgers from financial institutions. There are three update cycles: mainstream ex-factory prices are updated weekly, real-time spot quotes are updated daily, and overall industry inventory and supply chain financing yield rate data are updated monthly.

Each data entry includes product name, grade, origin, base specification, average transaction price, inventory balance, downstream application share, and corresponding financing yield rate. The unit for average transaction price is yuan/ton, and the unit for inventory balance is tons. Downstream application share and financing yield rate use proportional coefficient format, not percentage format.

Constraints Imposed by These Characteristics on Multi-turn Dialogue and Prompt Engineering

Differences in update frequencies across data sources require multi-turn dialogue systems to distinguish between different time-based data dimensions. Prompts must explicitly specify data source type and query time range to support daily yield rate and market report broadcasting requirements for financial scenarios.

Refractory material grades and specifications are highly varied. Multi-turn dialogue must continuously retain specific grades, origin and other contextual information specified by users to avoid confusion from cross-category or cross-specification queries, and ensure accurate information access for financial clients.

Fields use proportional coefficient format instead of percentage format. Prompts must standardize display formats for fields to avoid unit recognition errors that disrupt data analysis in financial scenarios.

Downstream application share and financing yield rate data have longer update cycles. Multi-turn dialogue should guide users to confirm data update times to avoid using outdated information that interferes with financial decision-making.

Configuration Settings

Configuration ItemRecommended ValueRationale
maxContext8000–12000 charactersA single refractory material data entry includes multiple sets of specifications and parameters. Multi-turn dialogue must retain at least 3 rounds of query context to avoid losing critical grade and time parameters, and support multi-turn query requirements for financial scenarios
recallTopKTop 6–8 entriesRefractory material products have many specialized specifications. Too many recalled entries will lead to redundant context, while too few will not cover user-specified specific grades and financing yield rate data
promptTemplateFixed inclusion of {query}, {context}, {currentTime}; explicitly specify data units as yuan/ton and proportional coefficientsMust standardize field display formats to avoid unit recognition errors, support daily yield rate and market report broadcasting requirements for financial scenarios, and introduce the system time variable to ensure the displayed timestamp matches current requirements
contextWindowStrategyRetain the most recent 4 rounds by conversation turnQueries for refractory materials typically revolve around specific grades and time ranges. Excess historical rounds will interfere with context for current queries, avoiding redundant information that disrupts financial data analysis
PARSE_FILE_TIMEOUT_SECONDS300 secondsRefractory material industry report documents include data for many specialized categories, leading to longer parsing times. This ensures large documents can complete parsing normally

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. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.

Three Common Mistakes

  • Symptom: Specified reply content is not saved in conversation history, and auto-reply is empty when reopening the conversation. Cause: The saveChatHistory configuration item is not enabled, or is configured to only save user input without retaining the full conversation chain.
  • Symptom: The system time variable introduced in the prompt is not loaded correctly, and the displayed timestamp uses a placeholder or incorrect value. Cause: The currentTime system variable is not correctly bound in the prompt template, or the variable parsing switch is not enabled.
  • Symptom: An error occurs when calling the voice input function in a Docker deployment environment, and audio processing dependencies cannot be loaded properly. Cause: The ffmpeg dependency is not correctly installed in the container, and sufficient permissions to perform the installation operation are not granted.

How to Confirm Proper Configuration

  • Initiate a multi-turn query that includes a specific refractory material grade and time range, check that the conversation history retains all critical parameters and no context loss occurs.
  • After configuring the prompt, initiate a test query, check that the data units in the returned results match the preset yuan/ton and proportional coefficient formats, and that the displayed timestamp matches the current system date.
  • Upload a refractory material industry report document, check that document parsing completes within the preset timeout period and no parsing failure errors appear.
  • Configure two connected AI dialogue nodes in a workflow, initiate a test query, check that the final output only includes the reply from the second AI dialogue and does not include content from the previous round.

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.