참고소스 수정본

참고/instructor-main/examples/patching/together.py

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+import os
+import openai
+from pydantic import BaseModel
+import instructor
+
+client = openai.OpenAI(
+    base_url="https://api.together.xyz/v1",
+    api_key=os.environ["TOGETHER_API_KEY"],
+)
+
+
+# By default, the patch function will patch the ChatCompletion.create and ChatCompletion.acreate methods. to support response_model parameter
+client = instructor.from_openai(client, mode=instructor.Mode.TOOLS)
+
+
+# Now, we can use the response_model parameter using only a base model
+# rather than having to use the ResponseSchema class
+class UserExtract(BaseModel):
+    name: str
+    age: int
+
+
+user: UserExtract = client.chat.completions.create(
+    model="mistralai/Mixtral-8x7B-Instruct-v0.1",
+    response_model=UserExtract,
+    messages=[
+        {"role": "user", "content": "Extract jason is 25 years old"},
+    ],
+)  # type: ignore
+
+print(user.model_dump_json(indent=2))
+{
+    "name": "Jason",
+    "age": 25,
+}