참고소스 수정본

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

@@ -0,0 +1,50 @@
+---
+title: Using MistralAI for Structured Outputs
+description: Learn how to use MistralAI models for inference, including setup, API key generation, and example code.
+---
+
+# Structured Outputs using Mistral
+You can use MistralAI models for inference with Instructor using `from_provider`.
+
+The examples use `mistral-large-latest`.
+
+## MistralAI API
+To use mistral you need to obtain a mistral API key.
+Goto [mistralai](https://mistral.ai/) click on Build Now and login. Select API Keys from the left menu and then select
+Create API key to create a new key.
+
+## Use example
+Some pip packages need to be installed to use the example:
+```
+pip install instructor mistralai pydantic
+```
+You need to export the mistral API key:
+```
+export MISTRAL_API_KEY=<your-api-key>
+```
+
+An example:
+```python
+import instructor
+from pydantic import BaseModel
+
+
+class UserDetails(BaseModel):
+    name: str
+    age: int
+
+
+# Using from_provider (recommended)
+client = instructor.from_provider("mistral/mistral-large-latest")
+
+resp = client.create(
+    response_model=UserDetails,
+    messages=[{"role": "user", "content": "Jason is 10"}],
+    temperature=0,
+)
+
+print(resp)
+#> name='Jason' age=10
+
+# output: UserDetails(name='Jason', age=10)
+```