What the Data for This Category Looks Like
Data for IT service intelligent due diligence reports comes from IT service procurement contracts, project delivery documents, operation and maintenance logs, and third-party compliance assessment reports. Updates are synchronized quarterly during the project cycle, with a full data refresh triggered 30 days before contract expiration. The document structure includes basic project information, service scope, deliverable list, operation and maintenance records, compliance check items, and risk assessment table. Core fields include: service cycle (unit: month), number of compliance items (unit: items), risk level (unit: level), and number of operation and maintenance records (unit: entries). Each field is bound to corresponding business attributes, with no generic redundant fields.
Constraints Imposed by These Characteristics on Multi-turn Dialogue and Prompting Workflows
IT service intelligent due diligence report data has large volume and complex structure. Multi-turn dialogue must handle context across multiple related documents, so a reasonable context window limit must be set to avoid interference from redundant information during analysis. There are many fields bound to business attributes, so prompting must clearly specify extraction rules to ensure accurate retrieval of specified field content across multi-turn dialogues. Data update frequency is high, so multi-turn dialogue must support real-time calls to the latest operation and maintenance records and compliance data, requiring a dynamic context refresh mechanism to be configured. Some fields involve compliance requirements, so prompting must filter sensitive information to avoid disclosure of undisclosed compliance assessment details in dialogues.
Recommended Configuration Parameters
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | IT service due diligence reports include multiple operation and maintenance logs and delivery documents, with single-round context length significantly higher than general scenarios |
dialogueHistoryRetention | Retain the most recent 15 dialogue turns | Discussions related to due diligence reports mostly revolve around nodes within the project cycle; excessive historical content will interfere with the accuracy of current queries |
PROMPT_REQUIRE_FIELDS | Project name, service cycle, compliance item list, risk level | Core extraction fields for due diligence reports are industry-standard universal items, which must be clearly bound in prompting |
UPLOAD_FILE_MAX_SIZE | 200 MB | Attachments included in a single IT service due diligence report (such as operation and maintenance reports, qualification scans) usually do not exceed this size |
recallTopK | Top 8 entries | Related documents for due diligence reports are mostly multiple materials under the same project; excessive recall will lead to redundant context |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing the settings.
Three Common Misconfigurations
- Phenomenon: After deleting a single dialogue turn, the system synchronously clears the associated logs for due diligence report analysis. Cause: The
dialogueHistoryPersistenceparameter is not enabled, and the system default configuration removes associated log data when a dialogue is deleted. - Phenomenon: The prompting cannot correctly reference the service cycle field extracted across multi-turn dialogues. Cause: The prompting does not clearly specify the mapping rules for the
{dialogue_history}variable, and does not designate the priority of extracted fields. - Phenomenon: After enabling multi-modal image recognition, uploading operation and maintenance screenshots returns no corresponding content. Cause: Only the image recognition switch for the dialogue node is enabled, and
enableImageRecognitionis not configured as enabled in the globalmodelConfig.
How to Verify Successful Configuration
- The core attachment of a single IT service due diligence report is uploaded, the file size verification prompt displayed by the system is checked, and the
UPLOAD_FILE_MAX_SIZEparameter is adjusted to match the actual size of the attachment. - A due diligence analysis request with multiple rounds of follow-up questions is initiated, the number of turns displayed in the dialogue history is checked, and compliance with the
dialogueHistoryRetentionconfiguration rules is confirmed. - The prompting is edited to add the
{dialogue_history}variable, a test query is initiated, and the returned content is confirmed to include the specified field information extracted across multi-turn dialogues. - A test operation and maintenance screenshot is uploaded, a multi-modal query is initiated, and the returned content is confirmed to include key text or logos in the image to verify that the configuration is effective.
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.