What the data for this category looks like
Livestock and poultry farming intelligent due diligence data mainly comes from breeding ledgers of large-scale farms, livestock and poultry epidemic prevention records, slaughter quarantine certificates, feed purchase records, and real-time data from IoT monitoring equipment used during breeding. There are two types of data update rhythms: breeding ledgers and immunization records are updated daily or per batch. Quarantine certificates and slaughter inspection reports are updated alongside each slaughter batch. A single due diligence document includes fields such as batch livestock and poultry variety, inventory quantity, total feed consumption, immunization date, and disease test results. Inventory quantity is measured in head or feather. Feed consumption is measured in kilograms or tons. Immunization dates use the YYYY-MM-DD format.
Constraints on Tool Calling and Plugins
The multi-source, heterogeneous nature of livestock and poultry farming data requires tool calling plugins to support mixed parsing of structured tables, unstructured documents, and image-based quarantine certificates. Plugins must adapt to the interface formats of different data sources. Batch-based data structures require tool calling to pass batch numbers as filter parameters, to avoid mixing data across batches. High-frequency updates of real-time IoT monitoring data require plugins to support hourly scheduled pull configurations. The diversity of field units requires the tool calling module to include built-in unit conversion logic, or allow passing unit mapping parameters, to ensure field consistency for downstream analysis. Differences in update rhythms across data types require plugin calling cycles to match the update frequency of corresponding data, to avoid pulling outdated or unupdated data.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 200 MB | Livestock and poultry farming due diligence documents include multiple batch reports and high-definition quarantine images. Set the maximum single uploaded file size to 200 MB |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | When parsing multiple combined livestock and poultry farming documents, table extraction and OCR recognition are required. 120 seconds covers most conventional parsing scenarios |
apiCollection.max_retries | 2 retries | Livestock and poultry data source interfaces may be affected by network fluctuations in farms. 2 retries covers temporary network exception scenarios |
toolCall.input_mapping | Filter fields by batch number and test date | Livestock and poultry farming data is distinguished by batch and date. Map user-input due diligence requirements to query parameters for the corresponding batch |
multimodal_parse.enable | Enabled | Livestock and poultry due diligence includes unstructured multimodal data such as quarantine certificate images and handwritten immunization records. Enable multimodal parsing |
toolCall.output_filter | Return only inventory quantity, feed consumption, and disease result fields | Livestock and poultry due diligence focuses on core business fields. Filter out irrelevant redundant information |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: The
apiCollectioninterface returns anInvalid URL, code: 500error. Cause: The API base address of the livestock and poultry farming data source is not configured correctly, or the passed batch query parameters do not match the format required by the interface, causing the interface to fail to parse the request normally. - Symptom: An error
400 InternalError.Algo.InvalidParameter: Multimodal file size isis returned when uploading livestock and poultry quarantine certificate images. Cause: The uploaded image file exceeds the configured multimodal file size threshold, or the multimodal file parsing switch is not enabled, causing format verification failure. - Symptom: The user's input text "share" is incorrectly converted during tool calling. Cause: The input parameters of tool calling have not undergone input verification or preprocessing, and have not filtered near-homoglyph confusion or transcription errors, leading to field mapping errors.
How to Verify Successful Configuration
- Upload a typical livestock and poultry farming due diligence document, check whether the parsed results include core business fields such as batch number, inventory quantity, and feed consumption, and confirm whether the multimodal parsing function is enabled as configured.
- Call the tool plugin with a test batch number, check whether the returned results only include the preset core fields, and confirm whether the output filtering rule takes effect as configured.
- Simulate a temporary network exception scenario when calling the tool interface, check whether the configured number of retries is triggered, and confirm that the retry logic is running normally.
- Upload a test file that exceeds the conventional document size, check whether the system intercepts the upload request that exceeds the threshold as configured.
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.