HTTP Interfaces and External Systems for Livestock and Poultry Farming Intelligent Due Diligence Reports

Livestock and poultry farming intelligent due diligence report data comes from three main sources.

What the data for this category looks like

Livestock and poultry farming intelligent due diligence report data comes from three main sources. These sources are farm RFID traceability systems, quarantine filing data from local animal husbandry and veterinary authorities, feed purchase ledgers, and settlement documents for outgoing livestock. Data updates sync with breeding batches. A single report has four core modules: inventory overview, epidemic prevention records, feed costs, and outgoing quarantine. Fields include inventory volume (unit: head/feather), outgoing weight (unit: kilogram), quarantine certificate number, feed purchase unit price (unit: yuan/kilogram), breeding cycle start timestamp. Some fields require association with the unique identifier of the corresponding batch.

Constraints Imposed on HTTP Interfaces and External Systems

The batch-based updates and multi-source heterogeneous nature of livestock and poultry farming due diligence data creates clear constraints for HTTP interface integration. Interfaces must support precise data retrieval by breeding batch ID, to accommodate cross-month statistical requirements for single batches. Different external data sources use inconsistent field names. The interface layer must perform field mapping and conversion to standardize output for due diligence report templates. Legitimacy verification of official quarantine data requires signature parameters to be included during interface calls. This prevents unauthorized data access. Single reports contain multiple unit-measured values. Interface returns must retain original unit identifiers, with no additional conversion required.

Configuration Settings

Configuration ItemRecommended ValueRationale
external_api_request_timeout240–300 secondsLivestock and poultry farming due diligence data requires integration with multiple external systems. Cross-system aggregated queries take significant time. This interval covers response cycles for most compliant data sources
workflow_variable_kb_selectorEnable dynamic referenceBatch ID passed during API calls must switch knowledge base data sources for the corresponding breeding batch, to accommodate due diligence requirements for different batches
api_auth_typeAPI_KEY signature verificationLivestock and poultry farming data involves breeder privacy and official quarantine filing information. Signature verification ensures interface call legitimacy
external_data_field_mappingMap fields by batch IDDifferent external data sources use inconsistent field names. Standard fields required for due diligence reports, such as inventory volume and quarantine certificate number, must be unified via mapping
session_msg_retention_days90 daysBreeding cycles for livestock and poultry farming due diligence typically range from 3 to 6 months. Retaining 90 days of session logs covers full process troubleshooting for a single batch’s due diligence
kb_search_top_kTop 6–8 resultsLivestock and poultry farming due diligence reports require a balance between comprehensiveness and accuracy. This number of recalled results covers core statistical data for a single batch

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

  • Symptom: External interface calls return the 401 Unauthorized status code, and the FastGPT interface prompts authentication failure. Cause: api_auth_type is not configured as API_KEY signature verification, or the passed signature parameters do not match the external system’s verification rules.
  • Symptom: After configuring external API integration, local interface tests pass normally, but the FastGPT interface prompts incorrect username or password. Cause: Correct authentication parameter format is not configured in external_api_auth_type, or the passed key does not include the system-required prefix identifier.
  • Symptom: When configuring a knowledge base search node in a workflow, selecting a variable-referenced knowledge base fails to load the corresponding data source, or returns empty results. Cause: Dynamic reference permission for workflow_variable_kb_selector is not enabled, or the passed knowledge base ID parameter format does not meet system requirements.

How to Confirm Successful Configuration

  • An API call with the breeding batch ID parameter is initiated. The workflow is verified for successful triggering of a knowledge base search for the corresponding data source, to confirm variable references take effect.
  • External interface call logs are reviewed. Returned fields are confirmed to have completed mapping, and to retain original unit identifiers and timestamp information.
  • An authentication-failed call request is simulated. The FastGPT interface is verified to return the standard 401 Unauthorized error message, to confirm authentication configuration takes effect.
  • The session message list is reviewed. Due diligence query logs for the corresponding batch are confirmed to be retained per the session_msg_retention_days setting, and not cleaned early.

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.