What the data for this category looks like
Data sources for the feed category include ERP systems of feed production enterprises, formula management modules, restock records of offline dealers, and feeding feedback forms from partner pastures. Update rhythms follow these rules: Formula parameters adjust with raw material costs or breeding standards, with a monthly update cycle. Sales data syncs daily. Feeding feedback data updates with pasture breeding cycles, with a quarterly update cycle. Each data entry includes batch number, raw material composition (key-value pair format: key is raw material name, value is weight share), nutritional indicators such as metabolic energy and crude protein level (units are megajoules per kilogram, grams per kilogram), sales region, and target breeding category.
What constraints do these characteristics impose on workflow orchestration
The feed category’s data structure includes multi-dimensional raw material parameters, segmented breeding targets, and dynamically updated sales information. Combined with data requirements for livestock insurance and breeding loans in financial service scenarios, multiple constraints are placed on workflow orchestration. First, the key-value pair format of raw material composition requires workflows to support multi-field traversal and splicing, avoiding hard-coded fixed content. Second, monthly updated formula parameters and daily synced sales data require workflow data source nodes to be configured with both scheduled pull and real-time trigger modes, adapting to different data update rhythms. Third, for segmented marketing needs across different breeding categories, workflows must include branch nodes. These nodes automatically match corresponding content templates and parameters based on target breeding categories, while connecting compliance verification fields to ensure marketing content meets requirements.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
workflow_data_source_sync_mode | Dual mode: scheduled pull + real-time trigger | Feed formula data updates monthly, sales data syncs daily. Dual mode adapts to data sources with different update frequencies |
workflow_branch_condition | Match by target breeding category field | Feed marketing content requires adjusting copy for different categories such as pigs, poultry, and aquaculture. Branch nodes must accurately match the corresponding field |
global_variable_persist_mode | Session-level persistence | Batch raw material data pulled during a single conversation must be retained within that conversation. Redundant data does not need to be stored across sessions |
tool_call_input_schema | Configured as key-value pair array structure | Feed raw material composition and nutritional indicators are multi-dimensional fields. This setting adapts to structured input parameters |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Feed formula documents typically include multiple pages of raw material details and nutritional parameters. Parsing takes a long time |
UPLOAD_FILE_MAX_SIZE | 200 MB | Batch ledgers and breeding feedback documents from feed enterprises are usually bulk-uploaded Excel or PDF files. Larger file sizes must be supported |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Symptom: A
WORKFLOW_DATA_MISMATCHerror pops up when running the workflow, prompting that input fields do not match. Cause: Thetool_call_input_schemais not configured correctly for the multi-dimensional raw material fields of the feed category, resulting in the passed parameter structure not matching the expected one. - Symptom: Uploaded file links cannot be passed as parameters when the workflow calls tools. Cause: The output type of the file upload node is not configured as
file_url. The default output is a temporary cache identifier, which cannot be recognized by downstream workflow nodes. - Symptom: After modifying a global variable in a conversation, downstream nodes cannot obtain the updated value. Cause:
global_variable_persist_modeis not configured as session-level persistence, causing the variable to only take effect during the first call and cannot be updated within the same conversation.
How to confirm the configuration is complete
- Navigate to the workflow's data source configuration page, verify that the sync mode matches the update rhythm of feed data, and adjust the scheduled task cycle and real-time trigger rules.
- Test the branch node, input different target breeding category field values, and confirm that the workflow automatically switches to the corresponding content template.
- Upload a feed batch ledger document, verify that the file parsing node successfully outputs structured raw material and nutritional parameter data.
- Modify a global variable within the same conversation, check whether downstream nodes can obtain the updated variable value.
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.