Multi-turn Dialogue and Prompt Engineering for Electronic

What data looks like for this category

Electronic component market trend and yield rate data comes from three main channels: original manufacturer public guide prices, real-time quotes from spot trading platforms, and third-party industry databases. Real-time spot quotes update every hour. Original manufacturer guide prices update daily. Weekly industry report data updates weekly.

A single standard document includes these fields: component model, package specification, current quote, 7-day average price, price change percentage, supply lead time, and manufacturer inventory surplus. Quote units are mostly RMB per piece or USD per sheet. Some precision components include tolerance parameters and test report numbers.

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

Multiple data sources and differing update frequencies require multi-turn dialogue flows to first confirm the user’s required data type and time range. This avoids confusion between real-time and historical data.

The large number of fields and diverse units require prompts to precisely specify the fields to extract and output units. This prevents generated content from missing key information or including incorrect units.

The large number of component models and similar naming conventions require dialogue context to retain the specific model specified by the user. This avoids category confusion in subsequent queries.

How to set configurations

Configuration Item	Recommended Value	Rationale
`maxContext`	`2000–3000 characters`	Electronic component market data includes multiple fields and model information. Sufficient context is needed to avoid losing user-specified query conditions
`temperature`	`0.1–0.3`	Yield rate and market trend reports require accurate values and formats. Random deviant content should be avoided
`prompt_template`	`First confirm the queried component model, data type (real-time/historical) and time range, then extract the corresponding fields and return in the format [Model: XXX, Current Quote: XXX, Unit: XXX, Price Change Percentage: XXX]`	Electronic component data has many fields and diverse units. Clear prompts standardize output format and extraction scope
`PARSE_FILE_MAX_LENGTH`	`1500 characters`	A single electronic component market document includes multiple model data sets. Limiting parsing length avoids truncating key information
`relevance_threshold`	`0.85`	Precise matching of user-specified component models is required. Unrelated category market data must be filtered out

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

Phenomenon: When the text content extraction module is called, after a code block-formatted prompt is passed, the complete response shows the code block as undefined. Cause: The code block wrapping markers and extraction range are not clearly specified in the prompt, causing the module to fail to identify valid extraction content.
Phenomenon: After variable references are set, the temperature setting button disappears, and the temperature parameter cannot be adjusted. Cause: The global conversation configuration is inherited by default in variable reference mode, and the single-turn conversation configuration panel is not switched to.
Phenomenon: The Markdown content generated by the dialogue has no carriage returns and line breaks, requiring manual text selection when copying. Cause: The prompt does not explicitly require separating each component's market data with line breaks, resulting in compact output with no line breaks.

How to confirm correct configuration

A test dialogue containing multiple component models and data types is initiated, and whether the context retains all query conditions specified by the user is checked.
Market trend report content is generated, and whether the output format meets the preset prompt requirements, and whether fields and units match data source specifications are checked.
The interface is called to test the workflow, and whether the running data in the dialogue log includes complete module execution records and returned content is checked.
The temperature parameter is adjusted, and whether the generated content maintains stable format and numerical accuracy with no random deviations is verified.

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.