What Data for This Category Looks Like
Marketing interaction data for specialized equipment comes from local device operation logs, cloud interaction repositories, and user feedback systems. Data updates follow real-time synchronization, with single interaction records generated within 10 seconds. Documents use a standardized structured format, including the following fields: device_id (16-character string), interaction_timestamp (ISO8601 format timestamp), user_query (user question text, maximum 2000 characters), device_response (rich text marketing content), user_feedback (enumerated type). Time unit is milliseconds, and text field unit is characters.
What Constraints These Characteristics Impose on the "Multi-turn Dialogue and Prompt Engineering" Link
Real-time updated interaction data requires multi-turn context windows to be controlled within a reasonable range, to avoid exceeding token limits and causing dialogue interruptions. Structured fields require prompts to clearly specify extraction rules, ensuring the model can accurately identify exclusive information such as device_id and time fields. Rich text response content requires prompts to configure rendering rules, to avoid outputting raw markdown source code. Device ID binding requires multi-turn dialogues to associate device identifiers, preventing confusion of interaction data from different devices.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Average single-turn device interaction content is 1200 characters; total length of 5 rounds of historical dialogues does not exceed the threshold |
PARSE_MARKDOWN | Enabled | Specialized equipment marketing content requires rich text rendering, to avoid outputting raw markdown code |
SHOW_TOKEN_STATS | Input + Output | Two types of token counts need to be counted and displayed separately for cost accounting |
contextRetrievalTopK | 3–5 | Historically associated information for device interactions is concentrated in the first 3 entries; excessive recall will interfere with context |
PROMPT_MAX_LENGTH | 1800 characters | Prompts that clearly extract device ID and interaction time are required; length limit adapts to field extraction requirements |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis, and it is recommended to conduct tests on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: Output content is raw markdown format, not rendered as rich text. Cause: The
PARSE_MARKDOWNconfiguration item is not enabled; the system retains raw markdown code by default. - Phenomenon: No results for dialogue history association queries. Cause:
contextRetrievalTopKis set too low, ordevice_idis not bound as a context filter condition, leading to recall of irrelevant historical interactions. - Phenomenon: Unable to extract time fields for this year or this month. Cause: The prompt does not clearly specify extraction rules for time fields, and does not limit the matching logic of time ranges, causing the model to fail to identify accurately.
How to Confirm Configuration Is Complete
- Run simulated device interaction dialogues, verify that output content uses rendered rich text format, and does not include raw markdown code.
- Check the statistics area of the dialogue interface, confirm that input and output token counts are displayed separately.
- Import multi-round historical interaction data, verify that the system can recall context content related to the current device and current topic.
- Enter queries with clear time ranges, verify that the model can accurately extract corresponding fields for this year and this month.
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.