Data Characteristics
Pharmacovigilance data primarily originates from Adverse Drug Reaction (ADR) reports. Healthcare facilities, pharmaceutical companies, patients, or regulatory bodies submit these reports. Data update frequency varies from daily to weekly, depending on report submission timeliness and regulatory processing. ADR reports typically combine structured fields and free-text descriptions. Structured fields include patient demographics (age, gender), drug information (brand name, generic name, dosage, administration route), adverse event details (event name, onset time, severity, outcome), medical history, and concomitant medications. The free-text section details the event's progression, clinical manifestations, diagnosis, and treatment. Field units often include age (years), dosage (mg, g, ml), and time (date, hour). Standard medical coding systems like ICD-10 or MedDRA may also be present.
Constraints on Tool Calling and Plugins
Pharmacovigilance data characteristics impose specific requirements on tool calling and plugin design. The semi-structured nature of ADR reports requires tools to handle both structured data extraction and semantic understanding of free text. This demands high parsing capabilities from plugins. The real-time nature of data updates requires efficient synchronization with data sources to capture the latest ADR information. Strict access control and permission management for data and tool calls are essential due to sensitive patient information, ensuring compliance with regulations like HIPAA or GDPR. Medical terminology and standardized coding (e.g., MedDRA) necessitate the integration of specialized medical dictionaries or ontologies into plugins for information extraction or knowledge graph construction, improving recognition accuracy. Extracting critical information like adverse event severity and causality directly impacts subsequent risk assessment and decision-making, imposing strict business requirements on plugin accuracy and reliability.
Configuration Guidelines
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 4096 tokens | Balances long report processing with model response efficiency, preventing truncation of critical information. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Accommodates parsing time for large or complex report files, preventing processing failures due to timeouts. |
Recall count (Recall Count) | 10 items | Provides sufficient context for the model while ensuring relevance, covering potential associations. |
Similarity threshold (Similarity Threshold) | 0.75 | Filters for knowledge fragments highly relevant to the query, reducing interference from irrelevant information. |
Rerank result count (Reranked Return Count) | 3 items | Further refines recall results, improving the accuracy and conciseness of the final output. |
API_KEY_SCOPE | app_key | Restricts API call permissions, enhancing security and complying with data governance requirements. |
Common Pitfalls
- Tool calls returning empty values often occur when a nested knowledge base assistant in the workflow fails to pass context correctly during an API call or lacks a necessary
API_KEY. - The application interface may fail to display images and user avatars in some browsers. This can result from conflicts between front-end resource loading policies and specific browser security settings, such as improper Cross-Origin Resource Sharing (CORS) configuration.
- When a workflow involves multiple layers of tool calls, the AI response from the first-layer tool may be printed unexpectedly. This typically happens when the workflow design does not explicitly suppress or filter intermediate step outputs.
Verification Steps
- Simulate submitting an ADR report containing typical structured fields and free text. Check if the tool accurately extracts all key information fields and if the adverse event codes in the returned results are correct.
- Regularly input new ADR reports into the system. Monitor tool call logs to confirm that data synchronization and processing occur without timeouts or parsing errors. Verify that processed data updates the knowledge base promptly.
- Execute a test workflow involving multiple layers of tool calls. Verify that the final output contains only the expected information and that raw responses from intermediate tools are not leaked. Also, check that the
app_key's permission scope restricts operations as expected.
The values provided are common starting points and should be measured against your own 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.