HTTP Interfaces and External Systems for Agrochemical

What Data for This Category Looks Like

Agrochemical product marketing content data is primarily sourced from internal enterprise R&D documents, agricultural technology promotion manuals, compliance registration materials, and regional adaptation plans. It is mostly used for agrochemical-related customer acquisition and content distribution in finance, insurance, and wealth management sectors. Update cycles are triggered by new product launches, farming season adjustments, or policy changes, with no fixed schedule. Documents are mostly structured mixed text and image formats, with core fields including product common name, pesticide registration certificate number, applicable crops, application dosage, pre-harvest interval, promotion scenarios, and more. The application dosage field mostly uses agricultural-specific units such as g/亩, ml/100kg水. The pre-harvest interval is measured in days. Some documents also include supplementary descriptions of field trials.

Constraints Imposed on HTTP Interfaces and External Systems

Agrochemical product marketing content is mostly used for customer acquisition scenarios in finance, insurance, and wealth management sectors. Its compliance fields require HTTP interfaces to support mandatory field validation. This prevents documents missing key information such as pesticide registration certificate numbers from entering the knowledge base. The specialized unit system requires the interface to include built-in unit standardization conversion logic. Without this, structured data will suffer from unit confusion issues. No fixed update cycle requires the interface to support incremental synchronization mode, reducing resource consumption from repeated full data uploads. The mixed text and image long document structure requires the interface to support segmented upload and batch processing, avoiding single request timeouts. Content dense with specialized terminology places higher requirements on the interface's parsing timeout settings, requiring sufficient processing duration to be reserved.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`UPLOAD_FILE_MAX_SIZE`	`50 MB`	Agrochemical marketing documents often contain agricultural technology illustrations and professional tables. Limiting each document to 50 MB balances transmission efficiency and parsing speed
`REQUIRED_FIELD_LIST`	`["product_name", "registration_certificate", "dosage"]`	Only retain mandatory core fields for agrochemical product compliance and business needs, filtering redundant content
`API_REQUEST_TIMEOUT`	`120 seconds`	Batch parsing multiple agricultural technology documents requires longer processing time. This avoids task interruption due to timeout
`CHUNK_SIZE`	`800–1200 characters`	Agrochemical content is dense with specialized terminology. This segment length preserves contextual relevance and improves parsing accuracy
`SYNC_MODE`	`incremental`	Agrochemical content updates have no fixed cycle. Incremental synchronization reduces repeated API calls and data redundancy
`MODEL_SELECTOR_ALLOW_LIST`	`["gpt-4o", "glm-4", "qwen-max"]`	Covers professional text parsing and multi-scenario call requirements, adapting to processing scenarios for different agricultural technology content

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis, and values should be measured against samples specific to the deployment before finalizing settings.

Three Common Misconfigurations

Symptom: After uploading documents using chunk mode via the pushdata interface, the system interface remains in the "Indexing" state for an extended period. Cause: The CHUNK_BATCH_SIZE parameter is not configured properly, and the number of chunks submitted in a single batch exceeds the system's processing limit, causing queue backlog.
Symptom: The HTTP interface returns a 400 Bad Request error, indicating that a mandatory field is missing. Cause: Mandatory agrochemical compliance fields such as registration_certificate are not added to the REQUIRED_FIELD_LIST configuration item, and the field validation logic is not enabled.
Symptom: Only GPT-class models are displayed in the model selection list of the text content extraction module, and connected GLM models do not appear. Cause: The MODEL_SELECTOR_ALLOW_LIST configuration item does not include the GLM series model identifiers, and only GPT-class models are configured.

How to Verify Proper Configuration

Initiate an upload request for a single standardized agrochemical marketing document, and confirm the validity of the task_id returned by the interface.
Review the parsed structured data, and confirm that the dosage field has been converted to a unified standard unit format.
Access the model selection configuration page, and confirm that connected non-GPT-class models are included in the selectable range.
Initiate an incremental synchronization request, and confirm that the interface only returns document entries updated since the last synchronization, with no duplicate data.

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.