core

Re-exports from hiperhealth.skills.diagnostics.core for backward compatibility.

Functions:

• differential –
• exams –

differential

differential(
    patient: dict[str, Any],
    language: str = 'en',
    session_id: str | None = None,
    llm: StructuredLLM | None = None,
    llm_settings: LLMSettings | None = None,
) -> LLMDiagnosis

Source code in src/hiperhealth/skills/diagnostics/core.py

def differential(
    patient: dict[str, Any],
    language: str = 'en',
    session_id: str | None = None,
    llm: StructuredLLM | None = None,
    llm_settings: LLMSettings | None = None,
) -> LLMDiagnosis:
    """
    title: Return summary + list of differential diagnoses.
    parameters:
      patient:
        type: dict[str, Any]
        description: Value for patient.
      language:
        type: str
        description: Value for language.
      session_id:
        type: str | None
        description: Value for session_id.
      llm:
        type: StructuredLLM | None
        description: Value for llm.
      llm_settings:
        type: LLMSettings | None
        description: Value for llm_settings.
    returns:
      type: LLMDiagnosis
      description: Return value.
    """
    prompt = _diagnosis_prompt(language)
    chat_kwargs: dict[str, Any] = {'session_id': session_id}
    if llm is not None:
        chat_kwargs['llm'] = llm
    if llm_settings is not None:
        chat_kwargs['llm_settings'] = llm_settings
    return chat(
        prompt,
        json.dumps(patient, ensure_ascii=False),
        **chat_kwargs,
    )

exams

exams(
    selected_dx: list[str],
    language: str = 'en',
    session_id: str | None = None,
    llm: StructuredLLM | None = None,
    llm_settings: LLMSettings | None = None,
) -> LLMDiagnosis

Source code in src/hiperhealth/skills/diagnostics/core.py

def exams(
    selected_dx: list[str],
    language: str = 'en',
    session_id: str | None = None,
    llm: StructuredLLM | None = None,
    llm_settings: LLMSettings | None = None,
) -> LLMDiagnosis:
    """
    title: Return summary + list of suggested examinations.
    parameters:
      selected_dx:
        type: list[str]
        description: Value for selected_dx.
      language:
        type: str
        description: Value for language.
      session_id:
        type: str | None
        description: Value for session_id.
      llm:
        type: StructuredLLM | None
        description: Value for llm.
      llm_settings:
        type: LLMSettings | None
        description: Value for llm_settings.
    returns:
      type: LLMDiagnosis
      description: Return value.
    """
    prompt = _exam_prompt(language)
    chat_kwargs: dict[str, Any] = {'session_id': session_id}
    if llm is not None:
        chat_kwargs['llm'] = llm
    if llm_settings is not None:
        chat_kwargs['llm_settings'] = llm_settings
    return chat(
        prompt,
        json.dumps(selected_dx, ensure_ascii=False),
        **chat_kwargs,
    )