> ## Documentation Index
> Fetch the complete documentation index at: https://anaconda.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Instructor

The Instructor integration provides structured output capabilities by dynamically extending the `instructor.from_provider()` method. This integration is needed until the provider system in Instructor supports entrypoints.

<Note>
  You must import the Anaconda AI Instructor integration module before using `instructor.from_provider()` with Anaconda models.
</Note>

Here is a minimal setup example for using Instructor with Anaconda AI:

```python theme={null}
import instructor
import anaconda_ai.integrations.instructor
from pydantic import BaseModel

class UserInfo(BaseModel):
    name: str
    age: int

client = instructor.from_provider("anaconda/openhermes-2.5-mistral-7b/q4_k_m")

user_info = await client.create(
    model="any-model",  # ignored
    response_model=UserInfo,
    messages=[{"role": "user", "content": "My name is John and I'm 30 years old."}]
)
```

To use an already running server, use `anaconda/server/<server-name>`:

```python theme={null}
client = instructor.from_provider("anaconda/server/my-server")
```

For more information on using Instructor, see the [official documentation](https://python.useinstructor.com/).