What data for this category looks like
Data for IT service intelligent due diligence reports comes from qualification filing documents, past project delivery documents, operation and maintenance compliance logs, and annual audit reports submitted by partner vendors to financial, insurance, or wealth management institutions. Data updates are triggered on demand alongside project delivery, qualification annual reviews, or compliance changes, with no fixed schedule.
Document structures include structured fields and unstructured attachments. Structured fields cover vendor names, qualification levels, service coverage scopes, response times, and more. Unstructured attachments include security compliance scan reports and project acceptance documents. Field units include professional compliance-related units such as hours, items, copies, and levels.
What constraints these characteristics impose on model access and configuration
Compliance requirements for the financial, insurance, and wealth management sectors are strict. The mixed data structure requires model access configurations to support both structured field extraction and unstructured attachment parsing, to avoid missing compliance-related attachment information.
No fixed update cycle but long individual document lengths require configuration items to support long-text parsing, to avoid breaking professional term integrity during segmentation.
The presence of multi-dimensional professional fields requires precise adjustment of recall and similarity thresholds, to ensure only content strongly relevant to due diligence targets is matched.
Different fields correspond to dedicated units, requiring the model to have professional unit recognition capabilities to avoid unit confusion in extraction results.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | IT service due diligence reports often include long sections of compliance explanations and project lists, requiring full loading of core context |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single due diligence document may include multiple attachments, leading to significantly longer parsing times than general documents |
chunkSize | 1000–1500 characters | IT service data contains a large number of professional terms and long sentences. Too long a segment will lose context association, too short will break term integrity |
similarityThreshold | 0.75–0.85 | Precise matching of core fields such as compliance certification numbers and service SLAs is required, to avoid interference from low-relevance content on extraction results |
RECALL_TOP_N | Top 6 entries | Due diligence reports need to cover three core dimensions: qualifications, projects, and compliance. Too many recalled entries will increase model inference load, too few will miss critical information |
structured_output | Enabled | Adapts to the structured field mapping requirements of IT service due diligence, ensuring extraction results can be directly used for report generation |
The parameter values provided on this page are all common recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Each situation requires individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common misconfigurations
- Symptom: Authentication failure occurs when calling the model. Third-party model interface logs show the token field value is
fastgpt. Cause: The platform's internal identifier was mistakenly entered into the third-party token configuration field during model access setup, instead of the exclusively issued token. - Symptom: Model loading fails, with the
MODEL_NOT_FOUNDerror code displayed in the interface. Cause: No model version adapted for IT service due diligence was specified in the model configuration, or the model interface address was not updated synchronously. - Symptom: Text content is extracted correctly, but no corresponding values are generated for structured fields. Cause: The
structured_outputconfiguration item was not enabled, or the field mapping rules did not match the dedicated field names of the due diligence report.
How to confirm successful configuration
- Upload a single IT service due diligence document, check if the parsed segments cover all core fields, and confirm that the
chunkSizeconfiguration matches the document length. - Initiate a test call, observe whether the token field in the logs of the connected third-party model interface uses the exclusively issued value, and avoid entering the internal identifier.
- Verify the structured extraction results, confirm that after
structured_outputis enabled, core fields such as compliance certification numbers and service SLAs all have corresponding values generated. - Test batch parsing of multiple documents, check if the
PARSE_FILE_TIMEOUT_SECONDSconfiguration is sufficient to cover the parsing time of the largest document.
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.