Multi-turn Dialogue and Prompt Engineering for Computer

What This Category of Data Looks Like

Computer equipment financing daily report data is sourced from enterprise equipment purchase filing systems, partner financial institution credit ledgers, and supply chain financing platforms. Full data for the previous calendar day refreshes every early morning. Individual daily report documents are grouped by equipment batch, and include fields such as equipment model, serial number, per-unit financing amount, financing term, loan institution, and approval status. The unit for amount fields is Renminbi yuan, and the unit for term fields is either calendar day or month.

Constraints for Multi-turn Dialogue and Prompt Engineering

The daily update requirement means multi-turn dialogue must automatically filter non-current-day data to avoid referencing expired financing records. The multi-field structure requires prompts to explicitly specify unique identifiers such as equipment model and serial number as context anchors, to prevent confusion between different equipment batches. The differing units for amount and term fields require prompts to enforce the correspondence between fields and units, to avoid the large language model generating incorrect numerical units. The batch-grouped data structure requires multi-turn dialogue to retain the current discussion batch context, to ensure subsequent questions focus on the specified equipment.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`maxContext`	8000–12000 characters	Computer equipment financing daily reports have large per-batch data volumes, requiring sufficient context to track equipment batches and approval progress
`recall_top_k`	Top 6 entries	A single daily report typically contains no more than 5 equipment batches; recalling too many entries will distract from the current discussion target
`auto_filter_date`	Retain only current-day data	Matches the daily report's current-day data attribute, preventing the large language model from referencing expired financing records
`field_matching_threshold`	0.85	Fields such as equipment serial numbers and models require precise matching to avoid confusion between financing information of different devices
`prompt_template`	Fixed template that binds device identifiers and current date	Clarifies context anchors and data timeliness, ensuring multi-turn dialogue focuses on the specified equipment
`response_length_limit`	1500 characters	Financing report-related responses must clearly list core field information, avoiding redundant content

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Configuration Errors

The symptom is that multi-turn dialogue fails to remember the currently discussed equipment batch, with subsequent questions straying from the specified device. The cause is that the field_matching_threshold parameter is not configured, or the threshold is set too low, leading the large language model to confuse field information across different devices.
The symptom is that the conversation history does not display thought processes, but background logs contain thought process output. The cause is that the show_thought configuration item is not disabled, or the proxy configuration does not filter thought process fields.
The symptom is a 413 Request Entity Too Large error after calling the interface. The cause is that the maxContext parameter is set too large, exceeding the request body limit allowed by the interface.

How to Validate Configuration Settings

Initiate a query specifying financing information for a specific model of computer equipment, confirm that all subsequent multi-turn queries focus on this device, to verify that the context anchor configuration is active.
Review the conversation history, confirm that only current-day financing data is displayed with no expired records, to verify that the auto_filter_date configuration is active.
Send a complex query containing multiple fields, confirm that the response accurately matches information such as equipment serial numbers and amount units, to verify that the field matching configuration is active.
Check background interface logs, confirm there are no 413 or timeout errors, to verify that context and request body configurations comply with interface limits.

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.