What Construction Machinery Data Looks Like
Construction machinery yield rate and market data mainly comes from monthly monitoring ledgers of domestic construction machinery industry associations, transaction records from mainstream second-hand equipment trading platforms, and new machine pricing systems of brand manufacturers. New machine guide prices update once a week. Second-hand equipment transaction data updates daily. Regional price gap data updates every ten days. The document structure of a single data entry includes fields such as equipment category, brand model, cumulative usage duration, administrative region, transaction type, transaction price range, and income calculation benchmark value. Income-related indicators use income per unit operating duration as the core unit, with no percentage-based statistical values.
Constraints for Multi-turn Dialogue and Prompting
The different update cycles of data sources require that multi-turn dialogue must clearly prompt users to specify the data type (new machine/second-hand) to avoid confusion between calculation results of different cycles. The segmented parameters of multiple fields (equipment category, usage duration, region) require multi-turn dialogue to gradually guide users to supplement complete information. Requiring all parameters at once may lead to redundant input or omissions by users. The cross-verification needs of multi-source data require that prompts must clearly specify the priority of data sources, giving priority to the latest transaction data from the user-specified region. The diversity of equipment models requires that the context window retain sufficient historical interaction parameters to avoid losing confirmed device identification information during multi-turn dialogue.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Construction machinery multi-turn dialogue needs to retain multi-round interaction parameters such as equipment model, region, and transaction type. This value range covers context requirements for most scenarios |
similarityThreshold | 0.75–0.85 | Construction machinery data fields have high segmentation granularity. This threshold filters low-match non-target category data to avoid result confusion |
recallCount | Top 6–8 entries | Single construction machinery market data contains many details. Too many recalled entries will exceed the context window, while too few will fail to cover differences in region and usage duration |
promptTemplate | Please answer yield rate-related questions step-by-step based on the provided construction machinery market data, combined with the user-specified equipment model, usage duration, and region. Retain confirmed parameters during multi-turn dialogue | Clearly guides parameter retention and data matching logic for multi-turn interaction, adapting to the query needs of segmented categories |
apiKeyScope | Application-specific key | Avoids insufficient call permissions caused by using globally shared keys, complying with configuration specifications for application-specific calls |
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 Misconfigurations
- Symptom: Returns "Invalid API permissions" error. Cause: Uses a globally shared API key. Such keys only support basic knowledge base calls and cannot trigger dedicated multi-turn dialogue applications.
- Symptom: The conversation interface throws a "Cannot read properties of null (reading 'q')" error. Cause: Multi-turn dialogue context fails to correctly retain the user-input equipment model parameter, leading to missing core fields during subsequent queries.
- Symptom: Cannot separately upload new machine quotation and second-hand equipment transaction data source files during multi-turn dialogue. Cause: No classified upload trigger logic is configured, and only unified upload and parsing of all files is allowed.
How to Verify Correct Configuration
- Initiate a test call, enter the specified construction machinery model and region parameters, and check whether the returned results include the update time identifier of the corresponding data source.
- Initiate two or more rounds of interactive dialogue, confirm that the entered equipment parameters are correctly retained in subsequent queries, and the conversation flow is coherent without missing parameters.
- Adjust the similarity threshold value, verify that the recalled results only include target category construction machinery data, with no interference from unrelated categories.
- Switch to using the application-specific API key, confirm that no permission-related error prompts appear during the call process.
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.