HTTP Interface and External Systems for Pharmaceutical

Data Characteristics in this Category

Pharmaceutical e-commerce regulations and Standard Operating Procedures (SOPs) originate from internal quality management systems, compliance departments, and legal departments. These documents are typically in PDF, Word, or internal knowledge base page formats. Content covers drug procurement, warehousing, sales, distribution, after-sales service, and GSP (Good Supply Practice) compliance requirements. Update frequency is relatively low, usually quarterly or annually, or immediately when policies and regulations change significantly. Document structures are rigorous, including definitions, flowcharts, clause numbers, and references. Common fields include regulation name, version number, effective date, revision history, scope, responsible department, specific operating steps, risk control points, and emergency plans. Units are often time-based (e.g., "within 24 hours"), quantity-based (e.g., "per batch"), or temperature-based (e.g., "2-8°C").

Constraints Imposed by these Characteristics on "HTTP Interface and External Systems"

The low update frequency of pharmaceutical e-commerce regulations and SOPs means real-time data synchronization is not critical. However, historical version management is essential, requiring external systems to support version traceability. The complex document structure and multiple formats require HTTP interfaces to effectively parse different document types during data extraction. Special attention is needed for tables and flowcharts within PDFs. The rigor and specificity of fields require interfaces to maintain data integrity and accuracy during transmission, preventing semantic loss. This includes precise transmission of sensitive information like drug batch numbers and expiration dates. Specific units, such as temperature ranges, may require unit validation or standardization at the interface level. Compliance requirements also demand high standards for data transmission security, encryption methods, and access control to prevent leakage or tampering of sensitive regulatory information.

Configuration Guidelines

Configuration Item	Recommended Value	Rationale
`UPLOAD_FILE_MAX_SIZE`	`50 MB`	Regulatory documents often include images and attachments. This reserves sufficient space.
`Chunk size` (Chunk Length)	`800 characters` (characters)	Ensures a single chunk can fully contain a clause or operational step description.
`Recall count` (Recall Count)	`10 entries` (items)	Regulatory Q&A demands high accuracy. Recalling more relevant context improves answer quality.
`Similarity threshold` (Similarity Threshold)	`0.75`	Regulatory text is highly specialized. A high threshold effectively filters irrelevant content and reduces misjudgments.
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds` (seconds)	Parsing large PDF or Word documents can be time-consuming. This prevents processing failures due to timeouts.
`HTTP_REQUEST_TIMEOUT`	`30000 ms` (milliseconds)	External system responses can be affected by network and load. This reserves ample waiting time.

Three Common Pitfalls

HTTP request JSON responses contain numerous escape characters (\) in text content, leading to subsequent processing failures. This often occurs when the external system does not correctly set Content-Type or double-encodes strings in its JSON response.
Tool calls to external system interfaces return 500 or 400 series error codes without specific error messages, making problem identification difficult. This indicates the external system lacks sufficient error logging or does not return detailed error information in the HTTP response body.
Uploaded image URLs cannot be recognized or loaded by FastGPT, resulting in missing image content. Possible reasons include the provided URL being an intranet address, requiring authentication, or the image server having hotlink protection configured.

How to Confirm Proper Configuration

Upload a PDF regulatory document containing tables and flowcharts. Check if the knowledge base chunks fully retain key information, especially if table content is correctly extracted.
Perform an HTTP interface call to simulate a regulatory query. Verify that the field names, data format, and units in the returned result match expectations, and check for historical version information.
Test with a complex compliance question that has a known answer. Ensure the system accurately recalls relevant passages from multiple regulatory documents and generates factually correct answers without error messages.

Note: The values provided are common starting points. Measure against specific samples to determine optimal values.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-21.