What the data for this category looks like
Engineering consulting intelligent due diligence reports draw data from project approval documents, survey and mapping reports, cost accounting ledgers, construction contracts, government planning announcements, and similar materials. Updates follow project milestones, with one update each during the preliminary design, construction bidding, and completion phases. Typical document structures include five core sections: project overview, technical parameter details, cost accounting sheet, compliance verification checklist, and risk reminders. Fields include professional parameters such as floor area (unit: ㎡), survey hole spacing (unit: m), individual project cost (unit: ten thousand yuan), and approval document number. Some documents include unstructured attachments such as CAD drawings and scanned files.
What constraints these characteristics impose on tool calling and plugins workflows
Engineering consulting due diligence data comes from scattered sources, including structured ledgers and unstructured scanned documents and drawings. This requires tool calling tools to support batch access and unified parsing of multi-source formats. Single reports have lengthy content and numerous professional fields, so tools must support long text segmentation and custom field extraction to prevent loss of key parameters. Data involves multi-dimensional professional content such as spatial information and cost, so plugins must adapt to multiple database connection types and support large attachment transfers. Some data comes from government public platforms, so tools must support scheduled web content crawling and synchronization.
Configuration Settings
| Config Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600–900 seconds | Engineering consulting due diligence reports often include multi-page scanned documents and long text, requiring sufficient time to complete format parsing and OCR processing |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single engineering due diligence reports may contain large numbers of drawing attachments, requiring support for large file uploads |
maxContext | 8000–12000 characters | Sufficient professional field context must be retained to avoid losing key parameters during parsing |
Recall Count | Top 8–12 entries | Engineering data includes multi-dimensional professional parameters, requiring enough relevant segments to cover all verification points |
Similarity Threshold | 0.75–0.85 | Balances precision and recall rate, avoiding missing content matched by professional terms |
MCP_SERVICE_TIMEOUT | 300 seconds | Local MCP services must adapt to batch processing times for engineering data to avoid interrupted connections |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: A
504 Gateway Timeouterror returns when calling a local MCP service. Cause: The MCP service timeout parameter is not configured, and the default timeout duration is insufficient to complete batch parsing of engineering data. - Symptom: The
ref_knowledge_base_idfield is missing from results returned by the conversation interface. Cause: The knowledge base reference information return switch is not enabled, or the corresponding return parameter is not included in the conversation interface request. - Symptom: The database connection tool cannot recognize the Oracle database connection string. Cause: The Oracle-compatible database driver plugin is not installed, or the correct database type is not specified in the connection configuration.
How to Confirm Successful Configuration
- Upload a single engineering due diligence report, review the parsed field list, and confirm it matches the preset professional fields to verify the file parsing configuration is active.
- Initiate a conversation with queries about engineering professional parameters, check whether returned results include knowledge base reference identification fields to verify the reference configuration is correct.
- Attempt to connect to a locally deployed MCP service and Oracle database, review the connection status to verify plugin and driver configurations are correct.
- Trigger the email sending plugin with engineering-related attachments, check whether the email sending process completes to verify the email plugin configuration is correct.
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.