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참고/instructor-main/docs/examples/multiple_classification.md

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+---
+title: Multi-Label Classification - Support Ticket Categorization
+description: Implement multi-label classification with Instructor for support tickets. Assign multiple categories like ACCOUNT, BILLING, and GENERAL_QUERY simultaneously.
+---
+
+For multi-label classification, we introduce a new enum class and a different Pydantic model to handle multiple labels.
+
+```python
+import instructor
+
+from typing import List, Literal
+from pydantic import BaseModel, Field
+
+# Apply the patch to the OpenAI client
+# enables response_model keyword
+client = instructor.from_provider("openai/gpt-5-nano")
+
+LABELS = Literal["ACCOUNT", "BILLING", "GENERAL_QUERY"]
+
+
+class MultiClassPrediction(BaseModel):
+    """
+    A few-shot example of multi-label classification:
+    Examples:
+    - "My account is locked and I can't access my billing info.": ACCOUNT, BILLING
+    - "I need help with my subscription.": ACCOUNT
+    - "How do I change my payment method?": BILLING
+    - "Can you tell me the status of my order?": BILLING
+    - "I have a question about the product features.": GENERAL_QUERY
+    """
+
+    labels: List[LABELS] = Field(
+        ...,
+        description="Only select the labels that apply to the support ticket.",
+    )
+
+
+def multi_classify(data: str) -> MultiClassPrediction:
+    return client.create(
+        model="gpt-4o-mini",
+        response_model=MultiClassPrediction,
+        messages=[
+            {
+                "role": "system",
+                "content": f"You are a support agent at a tech company. Only select the labels that apply to the support ticket.",
+            },
+            {
+                "role": "user",
+                "content": f"Classify the following support ticket: <text>{data}</text>",
+            },
+        ],
+    )  # type: ignore
+
+
+if __name__ == "__main__":
+    ticket = "My account is locked and I can't access my billing info."
+    prediction = multi_classify(ticket)
+    assert {"ACCOUNT", "BILLING"} == {label for label in prediction.labels}
+    print("input:", ticket)
+    #> input: My account is locked and I can't access my billing info.
+    print("labels:", LABELS)
+    #> labels: typing.Literal['ACCOUNT', 'BILLING', 'GENERAL_QUERY']
+    print("prediction:", prediction)
+    #> prediction: labels=['ACCOUNT', 'BILLING']
+```