What this category's data looks like
Precious metal market data sources include domestic Shanghai Gold Exchange, Shanghai Futures Exchange, international London Bullion Market Association (LBMA), COMEX Futures Exchange, and compliant third-party news aggregation sources. Data updates are split into two types: real-time rolling updates and end-of-day settlement updates, with update rhythms differing across trading sessions. Batch exported market data documents are mostly in CSV or Excel format, containing fields such as trading product code, trading market affiliation, quote type, transaction price, settlement price, trading volume, and position volume. Pricing units adjust based on product and market: gold mostly uses grams, some international products use ounces; position volume units are lots or tons; cross-market data includes exchange rate conversion fields.
What constraints do these characteristics impose on multi-turn dialogue and prompt engineering?
These data characteristics create multiple constraints for multi-turn dialogue and prompt design. First, unit differences across multiple data sources require prompts to preset unified pricing conversion rules to avoid unit confusion during multi-turn conversations. Second, the distinction between real-time and end-of-day data requires prompts to include data type verification logic, clearly guiding users to specify the required market data type to prevent returning data from incorrect time periods. Third, the structure with multiple products and multiple fields requires the multi-turn dialogue context window to retain sufficient historical interaction information, ensuring that follow-up questions can accurately locate the corresponding product and field. Additionally, the exchange rate conversion requirement for cross-market data requires prompts to link with exchange rate data sources or preset conversion parameters to support cross-product comparison dialogue needs.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Precious metal market data has rich fields. Multi-turn dialogue needs to retain context such as product, unit, and data type from multiple rounds of interaction to avoid context overflow |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Bulk precious metal market Excel files may include historical data for multiple products, resulting in long parsing times; this avoids premature termination of parsing |
RECALL_TOP_N | Top 6–8 results | Too many recalls will cause context overload, too few will fail to cover the multi-dimensional market information required by users, adapting to the query needs of precious metal multi-fields |
PROMPT_TEMPLATE | Fixed preset template including unit conversion and data type verification | Precious metals have differences across multiple units and markets; explicitly defining rules in the prompt in advance reduces dialogue ambiguity |
UPLOAD_FILE_MAX_SIZE | 500 MB | Large precious metal market documents may include multiple years of historical data; allowing large file uploads supports complete data calls |
The parameter values provided on this page are general recommendations for establishing configuration baselines. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test against local samples before finalizing.
Three common mistakes
- Uploading a 100,000-character Chinese document or 15,000-row Excel file triggers a
413 Request Entity Too Largeerror. The cause is failing to adjust theUPLOAD_FILE_MAX_SIZEparameter to a value matching the document size. - AI dialogue output takes more than
120 secondsafter searching the knowledge base. The cause is failing to optimize theRECALL_TOP_Nparameter; excessive recall of redundant market data leads to excessive model inference load. - When calling MCP to generate a precious metal market chart, the returned image only shows partial content. The cause is failing to explicitly specify the chart's pricing unit and data range in the prompt, resulting in missing parameters during MCP invocation.
How to confirm configurations are correct
- Initiate a multi-turn conversation involving products with multiple units (such as gold prices per gram and per ounce), and verify that the model's output uses unified pricing units.
- Upload a small test precious metal market Excel file, and check whether the parsed fields match the verification rules preset in the prompt.
- Adjust the
RECALL_TOP_Nparameter, compare the dialogue response speed and information completeness across different values, and determine the value suitable for the current scenario. - Call MCP to generate a precious metal market chart, and verify that the returned content includes complete axes, data labels, and unit identifiers.
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.