What data for this category looks like
Infrastructure construction yield-related data is primarily sourced from the National Construction Market Supervision Public Service Platform, local housing and urban-rural development department project valuation databases, and official settlement documents from project owners. Data updates follow a rhythm of monthly updates for segmented category data in specific regions, and quarterly updates for full industry aggregate data. Each standard data document includes six core fields: project code, project category, construction period, unit cost, cumulative revenue amount, and statistical cycle. Unit cost is measured in yuan per square meter, cumulative revenue amount is measured in ten thousand yuan, and there are no percentage-based metrics.
What constraints these characteristics impose on tool calling and plugins
Decentralized multi-source data sources require cross-data source aggregation plugins to be configured for the tool calling workflow, to handle differences in field formats returned by different platforms. The monthly and quarterly update rhythm means plugin trigger frequency should not be set too high, to avoid invalid calls consuming call quotas. Fixed core fields require tool calling to support retrieval parameters that precisely match by project code, to prevent returning irrelevant data. Different unit measurement requirements mean plugins must include a built-in unit unified conversion module, to avoid unit confusion in retrieval results. Additionally, long-form settlement documents increase parsing and calling time, so sufficient timeout buffer space must be reserved.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall_count | Top 8-12 entries | Infrastructure construction project data has many fields per entry. Too many recalled entries will exceed the context length limit, while too few will lose critical cost-related information |
similarity_threshold | 0.75-0.85 | Fields such as project code and project category for infrastructure construction projects have high recognizability. Low thresholds will introduce irrelevant engineering data from other categories |
PARSE_FILE_TIMEOUT_SECONDS | 300-600 seconds | Infrastructure construction project settlement documents are usually lengthy, containing large numbers of drawings and valuation table attachments, leading to long parsing times |
API_REQUEST_TIMEOUT | 120 seconds | Pulling infrastructure construction industry data across data sources requires waiting for responses from multiple interfaces. Too short a timeout will prevent valid data from being fully pulled |
plugin_trigger_interval | 86400 seconds | Infrastructure construction industry data is updated monthly. High-frequency plugin triggers will repeatedly pull unchanged data and waste call quotas |
FILE_CHUNK_SIZE | 1000-1500 characters | Infrastructure construction documents contain many technical terms and table content. Too long a segment will lead to inaccurate semantic segmentation, while too short a segment will damage the integrity of technical terms |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and testing on local samples is recommended before finalizing settings.
Three common mistakes
- Calling the
/api/core/dataset/updateAPI returns a 500 status code. Browser access works normally but API calls fail. The cause is that the API request does not carry a valid authentication token, or theContent-Typeheader is not set toapplication/json, preventing the interface from parsing the request body. - Semantic search and full-text search tools return "Connection error". The cause is that the configured data source interface does not have public network access permissions enabled, or the plugin's
API_REQUEST_TIMEOUTsetting is too short, causing data pull timeout to be classified as a connection error. - Streaming output cannot be implemented when calling an external model in a workflow. The cause is that the streaming output switch for the workflow is not enabled, or the code running module does not correctly configure the
streamparameter totrue, causing results to be returned synchronously.
How to confirm correct configuration
- Upload a single infrastructure construction project settlement document, view the parsed field list, and confirm that it includes preset core fields such as project code, project category, and unit cost.
- Manually trigger a plugin call, check that the units in the returned results are unified, with no confusing measurements other than yuan per square meter and ten thousand yuan.
- Call the test interface, check that the returned HTTP status code is 200, and the number of results falls within the range specified by the configured
recall_count. - Configure a scheduled plugin trigger, wait for a full update cycle, and check whether the infrastructure construction project data in the dataset has been updated.
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.