What the data for this category looks like
Infrastructure engineering research reports originate from public documents issued by industry regulatory authorities, regular announcements of listed construction and decoration enterprises, and special survey documents from professional engineering consulting institutions. Update frequency varies by report type: special project feasibility study reports update according to project approval milestones, while quarterly cost analysis reports release regularly at the end of each quarter. Document structures include basic project information, detailed bill of quantities, unit cost accounting, progress control milestones, and compliance approval document attachments. Fields cover project scale, material consumption, budget amount, and construction period, using standard engineering domain units such as cubic meters, square meters, tons, ten thousand yuan, and calendar days.
What constraints these characteristics impose on tool calling and plugins
The structured fields of infrastructure engineering research reports are numerous, and the unit system is complex. This requires the tool calling link to support precise matching of multiple fields and unit standardization conversion, to avoid deviations in retrieval results caused by inconsistent units. Dynamically updated special project research reports cannot rely on fixed-cycle offline synchronization, so plugins must be configured with real-time data source pulling capabilities to adapt to temporarily added project documents. Documents include unstructured attachments such as CAD-exported bill of quantities PDFs and compliance approval scan copies. Tool calling must support multi-format parsing to extract key engineering parameters hidden in attachments. In addition, some research reports involve cross-regional cost benchmark data, so plugins must support integration with regional engineering quota databases to complete parameter verification.
How to Configure the Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Infrastructure engineering research reports often contain large CAD attachments or multi-page PDF documents; 600 seconds covers the parsing needs of most long documents |
UPLOAD_FILE_MAX_SIZE | 500 MB | Attachments such as CAD drawings and high-definition scan copies included with infrastructure engineering research reports have large file sizes; 500 MB meets the upload requirements of conventional project documents |
Recall Count | Top 15–20 results | Core information of infrastructure engineering research reports is scattered across multiple chapters; a recall volume of 15-20 results can cover key modules such as quantity of works, cost, and progress |
Similarity Threshold | 0.75–0.85 | Infrastructure engineering terminology is highly professional; this range balances retrieval accuracy and coverage of benchmark cases |
Chunk Length | 1000–1200 characters | Bill of quantities paragraphs in infrastructure engineering research reports are long; this chunk length avoids splitting professional terms while maintaining context coherence |
Plugin Request Timeout | 900 seconds | Some plugins need to call regional engineering quota databases or perform complex cost calculations; 900 seconds covers conventional calculation processes |
The parameter values provided on this page are conventional recommendations used as a starting point 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 test on your own samples before finalizing.
Three Common Mistakes
- A
408 Request Timeouterror returns when calling the API to parse infrastructure engineering research reports. The cause is failing to configurePARSE_FILE_TIMEOUT_SECONDSto a duration suitable for large documents, leading to interruption of the parsing process. - Internal workflow execution details cannot be viewed after initiating an application call. The cause is failing to enable the application's log retention switch, or failing to configure log pushing to a specified storage path.
- A custom Python plugin returns empty results with no error logs after execution. The cause is failing to correctly bind the runtime environment path in the plugin configuration, or failing to pass the structured fields parsed from the research report as input parameters to the script.
How to Confirm the Configuration is Complete
- Upload an infrastructure engineering research report containing CAD attachments, check whether the parsed structured fields are fully extracted, and confirm that the parsing time does not exceed the configured
PARSE_FILE_TIMEOUT_SECONDS. - Initiate an API call with a fixed
chatIdparameter, check whether the context is coherent after multiple conversations, and confirm that the session persistence configuration has taken effect. - Run a custom Python plugin, pass simulated infrastructure engineering parameters, check whether the script executes normally and returns expected results, and confirm that the plugin input parameter configuration is correct.
- Enter the application management backend, view the application log list, confirm that each API call's workflow execution steps have complete records, and confirm that the log retention switch has been enabled.
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.