Workflow Orchestration for Preclinical Safety Assessment

Preclinical Safety Assessment Data Characteristics

Preclinical safety assessment data originates primarily from pharmacology and toxicology research reports. This includes in vitro and in vivo animal study data, and pharmacokinetic data. Data updates are infrequent, typically archived at project milestones. Document structures are highly standardized, adhering to guidelines like ICH M3(R2) and presented in CTD (Common Technical Document) format. Reports contain numerous tables, graphs, and text descriptions. These cover toxicity indicators (e.g., LD50, NOAEL), pharmacokinetic parameters (e.g., Cmax, AUC), and histopathological descriptions. Field names often include specialized abbreviations and units, such as mg/kg, μg/mL, g/L, and h. Data distribution is broad, ranging from raw data to summary reports, and comes in various formats including PDF, Word, and Excel.

Constraints Imposed by Data Characteristics on Workflow Orchestration

The standardized and specialized nature of preclinical safety assessment data demands precise workflow orchestration. First, extensive tables and graphs require robust document parsing capabilities to accurately identify and extract key data. Second, strict regulatory compliance mandates that data processing and information integration faithfully reflect the original report's logic and structure, preventing information loss or misinterpretation. The specificity of specialized fields and units necessitates configuring specific pattern matching or rule engines for information extraction and validation, ensuring data accuracy. Due to infrequent updates but large data volumes per update, workflow stability and batch processing capabilities are critical, requiring support for long-running processes and error recovery mechanisms. Furthermore, the hierarchical structure of the CTD format requires the workflow to effectively map to corresponding submission modules during document organization and output, ensuring the final output complies with registration requirements.

Configuration Guidelines

Configuration Item	Suggested Value	Rationale
`maxContext`	`8000 tokens`	Preclinical safety assessment reports are content-dense; this ensures the model handles longer text contexts.
`Chunk size` (Chunk Size)	`500 characters` (characters)	Balances semantic completeness and processing efficiency, accommodating typical paragraph lengths in reports.
`Recall count` (Recall Count)	`10 entries` (items)	Increases information recall rate, covering scattered key information points within reports.
`Similarity threshold` (Similarity Threshold)	`0.75`	Ensures the accuracy of recalled content, preventing interference from irrelevant information.
`Rerank result count` (Reranked Return Count)	`3 entries` (items)	Focuses on the most relevant key information, improving the quality of the final output.
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds` (seconds)	Preclinical safety assessment reports are large files; this provides ample parsing time.

Common Pitfalls

Output variables are empty in subsequent components. This occurs when the output variable name in the code component is not configured correctly, or when regular expression extraction fails, preventing data transfer.
API access does not receive user prompts or form inputs. This happens when User Selection or Form Input components are not correctly mapped to API request parameters after workflow publication.
Knowledge base ID variable settings result in errors. This occurs when an unparsed or malformed variable is directly passed to the Knowledge Base component, preventing the system from identifying the target knowledge base.

Verification Steps

Simulate submitting a complete preclinical safety assessment report. Check if the workflow accurately parses NOAEL and Cmax values from the report and maps them to predefined output fields.
In the FastGPT debugging interface, individually inspect the input and output of each workflow component. Confirm correct data flow, paying close attention to variable assignment and transfer as expected.
Test with preclinical safety assessment reports in different formats (PDF, Word, Excel). Verify that the workflow operates stably across multiple file types and extracts consistent structured data.

Note: The values provided are common starting points. Measure them 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.