HTTP Interface and External Systems for GMP Compliance

Data Characteristics

GMP compliance data in the biopharmaceutical sector typically exists as structured or semi-structured documents. Examples include Standard Operating Procedures (SOPs), batch production records, testing protocols, deviation reports, and change control documents. Data sources are primarily internal quality management systems, document management systems, or electronic batch record systems. These documents have a relatively low update frequency, usually follow strict approval processes, and are revised annually or in response to regulatory changes. Document structures are rigorous, including fields such as version number, effective date, revision history, responsible department, operating steps, and quality standards. Common units involve temperature (℃), pressure (Pa), time (min/h), volume (L), and weight (kg), with explicit precision requirements.

Constraints Imposed by "HTTP Interface and External Systems"

The rigorous nature and low update frequency of GMP compliance documents require HTTP interfaces to focus on version control and change identification during data synchronization, avoiding frequent full synchronizations. Documents contain numerous complex structures like tables and flowcharts, challenging interface parsing capabilities. This necessitates support for parsing and content extraction from various document formats (e.g., PDF, Word). Standardization requirements for fields and units mean interfaces must strictly adhere to predefined structures and data types during data transmission, ensuring numerical accuracy and consistency. An example is format validation for the batch_number field. Furthermore, traceability of historical data is a core GMP requirement. Interface design must consider how to effectively link and query different document versions, ensuring that the Q&A process can reference compliance regulations effective on specific dates.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`document_parser_strategy`	`table_and_text`	GMP documents often contain both tables and text; both need parsing.
`chunk_size`	`800-1200 characters`	Retains sufficient context while preventing individual chunks from being too large, which can affect recall.
`overlap_size`	`100 characters`	Ensures contextual continuity and handles regulatory descriptions that span multiple chunks.
`max_document_size_mb`	`50 MB`	Accommodates the typical size of SOPs and batch record documents.
`version_tracking_field`	`document_version`	Ensures different versions of compliance regulations can be distinguished in Q&A.
`similarity_threshold`	`Calibrate based on actual measurements`	Ensures recalled regulatory clauses are highly relevant to the question, avoiding misleading information.

Common Pitfalls

A workflow appears empty after importing a workflow template, with no nodes displayed in the workflow editor. This can happen if the imported JSON structure is incompatible with the current system version or contains syntax errors.
Connection attempts to an SQL Server database fail, potentially showing a Login failed for user error in the logs. This usually indicates incorrect username or password in the connection string, or the database server's firewall is blocking access.
HTTP interface calls return HTTP 500 Internal Server Error, with logs showing JSON parsing error. This often means the data format returned by the external system does not match the expected JSON structure, causing FastGPT to fail parsing.

Verification

Upload a GMP SOP document containing complex tables and multi-version information. Use the knowledge base preview function to check if the document content is fully parsed, especially if table data and the document_version field are correctly identified.
Use FastGPT's test chat function to ask questions about specific operating steps, quality standards, or deviation handling processes within the document. Verify that the model's answers accurately cite the original document and specify the corresponding document_version.
Simulate an external system pushing an updated GMP procedure via the HTTP interface. Observe if the knowledge base recognizes and updates the document version, and verify that questions about the old version of the procedure still receive correct responses.
Check system logs to ensure no ERROR level log messages appear during document parsing, data synchronization, and Q&A processes, especially regarding data format, connection timeouts, or insufficient permissions.

The values provided are common starting points and should be measured against specific samples.

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.