What this category’s data looks like
Real-time operating parameters from equipment PLCs, production daily reports from MES systems, and energy consumption and downtime records from operation and maintenance platforms. Update schedule: Real-time operating parameters for a single device update every 10 seconds. Daily summary data is generated at 2:00 AM daily. Document structure: Daily data for a single device is structured JSON or CSV. It includes device unique identifier, total daily operating hours, number of qualified products, unit energy consumption value, total downtime duration, and total daily revenue fields. Field units are hours, pieces, kilowatt-hours, hours, and yuan respectively.
Constraints imposed by data characteristics on model integration and configuration
Low-latency update requirements for real-time operating parameters require configuring real-time API interfaces and streaming response mechanisms. Long-text characteristics of daily summary documents require adjusting context windows and document segment lengths to prevent key information from being truncated. Structured data with multiple fields requires clear field mapping configurations to prevent the model from confusing the meaning of different fields. Recall requirements for batch data from multiple devices require adjusting recall counts and reranking thresholds to ensure revenue data for core devices is prioritized for processing.
How to set configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Automated equipment data contains multi-field associated content. Too short segment lengths will destroy field logic, while too long lengths will exceed the model’s context window |
rerankTopN | Top 6–10 entries | A single batch of data may contain revenue records for multiple devices. Filtering core entries reduces model load while ensuring core information is covered |
defaultModel | Use doubao-1.6-32k for daily tasks, use doubao-1.6-8k for real-time streams | Daily summary data has a longer context. Real-time streams require lower response latency |
maxContext | 8192–16384 tokens | Adapts to complete content loading for batch data from multiple devices, preventing key fields from being truncated |
apiStream | Set to false for batch daily tasks, set to true for real-time data streams | Batch tasks require complete structured results. Real-time streams require incremental return of updated content |
RETRIEVE_TOP_K | Top 12–18 entries | Covers core entries for batch data from multiple devices, avoiding missing revenue data for critical devices |
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 targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Phenomenon: After the knowledge base retrieves overly long content, the reranking model is not called, and returned results are not sorted by relevance. Cause: The trigger threshold for
rerankTopNis not adjusted. When the number of recalled documents is lower than the default threshold, the reranking model will not start. The single-batch data volume for automated equipment may just fall below this threshold. - Phenomenon: For the same application, model, knowledge base, and prompt, online chat and API call return results differ significantly. Cause:
apiResponseFormatandapiStreamparameters are not configured separately for API tasks. The output logic for batch tasks and real-time interactions is not differentiated. - Phenomenon: The
doubao 1.6model outputs thinking content but does not generate main body text. Cause: A reasonable value formaxNewTokensis not set. Automated equipment yield analysis requires sufficient generation length. The default value is insufficient to cover complete analysis content.
How to confirm configurations are correct
- Upload the daily data document for a single device, preview the segmented content, and confirm that the segment retains complete field associations.
- Initiate online chat and API calls separately, compare the returned result formats and field integrity, and confirm that the configuration matches the task type.
- View the reranking model call logs, and confirm that the reranking process is triggered when the number of recalled documents reaches the threshold.
- Generate a complete yield analysis report, and confirm that the main body text output by the model is not truncated.
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.