Tool Calling and Plugins for Patient Assistance Programs

Data Characteristics

Patient Assistance Program (PAP) data originates from various sources. These include medical institutions, charities, pharmaceutical company websites, and third-party service platforms. Data update frequencies vary. Some policies or drug lists update monthly, while patient application statuses change in real-time. Document structures are primarily semi-structured and unstructured. Examples include PDF policy documents, Word or Excel application forms, and web-based FAQs.

Data fields cover:

Patient basic information (e.g., name, ID number)
Disease diagnosis
Medication records
Financial status proof
Approval status
Assisted drug lists
Assistance criteria

Units:

Drug dosages are often in milligrams (mg) or International Units (IU).
Financial proof amounts are in Renminbi (Yuan).
Time units include days, months, and years.

Constraints on Tool Calling and Plugins

Fragmented data sources and diverse formats require robust multi-source data integration capabilities for tool calling. It must handle various file types like PDFs and Excels. Inconsistent data update frequencies necessitate caching strategies and data freshness considerations for plugins calling external APIs. This prevents returning outdated information.

Semi-structured and unstructured document structures pose challenges for information extraction and structuring. This requires more complex parsing logic. For example, accurately extracting assistance conditions and drug lists from PDF policy documents relies on advanced NLP techniques.

Sensitive fields (e.g., patient identity information) and diverse units demand strict adherence to data security and privacy regulations during data processing and display. Unit standardization and conversion are essential to ensure accuracy and consistency of Q&A results.

Configuration Guidelines

Configuration Item	Recommended Value	Rationale
`tool_call_timeout_seconds`	`60 seconds`	External API response times can be long, especially when querying multiple data sources. Allow sufficient time to prevent timeouts.
`max_tokens_for_tool_output`	`2048`	Patient assistance policies or drug list descriptions can be lengthy. Ensure full capture of tool output information.
`allowed_origins`	`*` or specific domain	Configure cross-origin settings based on the deployment environment. Ensure the frontend service can call the API correctly.
`database_query_schema`	Predefined JSON Schema	Standardize input and output for database query plugins. This reduces parsing errors.
`api_key_env_var`	`PAP_API_KEY`	Pass sensitive information via environment variables to enhance security.
`document_parser_config`	`{"pdf": "layoutlm", "excel": "pandas"}`	Select appropriate parsers based on document type to improve information extraction accuracy.

Common Pitfalls

Tool calls return 400 Bad Request errors. This often indicates incorrect parameter formats or missing required fields passed to the API. Check the structure and values of parameters in tool_calls.
Database query plugins fail or return empty results. This might be due to incorrect SQL statement construction, misconfigured database connections, or query conditions not matching actual data storage.
Web search or deep thinking features do not activate. This typically occurs when models like deepseek are not correctly configured with tools such as search_tool or web_browser during invocation. This prevents the model from accessing external information.

Verification Steps

In the FastGPT administration interface, trigger tool calls for patient assistance-related intents. Observe the tool_call_result field in the logs for expected return data.
Write test cases to simulate different patient consultation scenarios. Verify that tool calls accurately extract policy information, drug lists, and assistance criteria. Check the completeness of fields and data types in the returned results.
For cross-origin issues, use the browser's developer tools network request tab. Inspect the Origin and Access-Control-Allow-Origin headers of API calls. Confirm that the cross-origin policy is correctly applied.

The values given are common starting points and should be measured against the reader's 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.