What the data for this category looks like
Data sources include the Shanghai Gold Exchange official market API, over-the-counter quotes from the London Bullion Market Association, precious metals contract data from domestic futures exchanges, and supply and demand updates released by industry associations. Update cadence: Real-time market data refreshes every 15 seconds. Contract delivery standard documents receive static updates. Industry research reports are released quarterly or at major policy milestones. Document structure falls into three categories:
- Real-time market snapshots: include trading code, delivery grade, latest quote, trading volume
- Delivery rule documents: include grade requirements, storage standards
- Industry analysis documents: include supply and demand trends, policy impact
For fields and units: Quote units are mostly gram and ounce. Trading volume and position volume are measured in lots or kilograms. Delivery grade is marked as a specified purity level, with no percentage values used.
Constraints on multi-turn dialogue and prompt engineering
Real-time market data updates at high frequency. Pull the latest data source each time a tool is called during multi-turn dialogue; do not rely on long-term cached static data. Significant differences exist in quote units and delivery rules across precious metal varieties. Prompts must explicitly bind the specific focused variety in each dialogue round to avoid field confusion. Long documents such as delivery rules require segmented recall. Multi-turn dialogue must record paragraphs the user has already viewed to avoid repeated delivery. Inconsistent unit issues require preset unit conversion rules in prompts. Ensure output results match the user’s preferred measurement method. Users often follow up on the causes of market fluctuations or policy impacts. Multi-turn dialogue must retain time range and variety parameters from the context to reduce repeated confirmation.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Precious metal market data and research reports have relatively long text lengths. Sufficient context must be retained to handle multi-turn follow-up questions |
toolCallInterval | 15 seconds | Matches the update frequency of precious metal real-time market data to avoid calling outdated data |
recallTopK | Top 6 entries | Adapts to the segment length of industry research reports and delivery documents. Prioritize recalling content strongly related to the current dialogue |
promptTemplate | Generate due diligence content based on the user-specified precious metal variety and time range. Unify the output unit to gram | Resolves inconsistent precious metal unit issues. Clarify the focused variety and parameters for the dialogue |
workflowVarPassMode | Bind user input and system context | Ensure the workflow can transmit real-time market data and context parameters from user follow-up questions |
fileParseChunkSize | 1000–1500 characters | Adapts to the paragraph structure of delivery documents. Avoid destroying rule logic after splitting |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: After the workflow runs, the AI dialogue node returns "variable undefined" and cannot obtain the output content of the code running module. Cause: The output of the code module is not bound to the global variable scope, and parameters are only passed within the module.
- Symptom: After upgrading to version v4.8.10, the workflow cannot obtain market data parameters transmitted by the system, and global variables are not recognized. Cause: Variable transfer binding rules are not configured correctly, and system parameters are not synchronized to the dialogue context.
- Symptom: During multi-turn dialogue, after the user follows up on market changes, the generated due diligence report does not include the latest data. Cause:
toolCallIntervalis not set to match the real-time market data update frequency, and cached outdated data is called.
How to Confirm Correct Configuration
- Initiate a test dialogue that includes a specific precious metal variety and time range. Check whether the quote unit returned by the AI conforms to the preset rules.
- Run a workflow test. Check whether the output of the code module can be normally read by the AI dialogue node without "variable undefined" errors.
- Trigger multi-round follow-up questions. Check whether the context retains the previously mentioned precious metal varieties and parameters, with no repeated confirmation required.
- View the vector recall log. Confirm that the number of recalled documents matches the
recallTopKconfiguration value.
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.