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참고/instructor-main/docs/integrations/sambanova.md

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+---
+title: SambaNova
+description: Use Instructor with SambaNova's LLM API for structured outputs.
+---
+
+## See Also
+
+- [Getting Started](../getting-started.md) - Quick start guide
+- [from_provider Guide](../concepts/from_provider.md) - Detailed client configuration
+- [Provider Examples](../index.md#provider-examples) - Quick examples for all providers
+- [Enterprise Integration](../examples/index.md#enterprise-integration) - More enterprise examples
+
+# SambaNova Integration
+
+Instructor supports SambaNova's LLM API, allowing you to use structured outputs with their models.
+
+## Installation
+
+```bash
+pip install "instructor[openai]"
+```
+
+## Basic Usage
+
+```python
+import instructor
+from pydantic import BaseModel
+
+client = instructor.from_provider("sambanova/Meta-Llama-3.1-405B-Instruct")
+
+class User(BaseModel):
+    name: str
+    age: int
+
+user = client.create(
+    messages=[
+        {"role": "user", "content": "Ivan is 28"},
+    ],
+    response_model=User,
+)
+
+print(user)
+# > User(name='Ivan', age=28)
+```
+
+## Async Usage
+
+```python
+import instructor
+from pydantic import BaseModel
+
+client = instructor.from_provider(
+    "sambanova/Meta-Llama-3.1-405B-Instruct",
+    async_client=True,
+)
+
+class User(BaseModel):
+    name: str
+    age: int
+
+async def get_user():
+    user = await client.create(
+        messages=[
+            {"role": "user", "content": "Ivan is 28"},
+        ],
+        response_model=User,
+    )
+    return user
+
+# Run with asyncio
+import asyncio
+user = asyncio.run(get_user())
+print(user)
+# > User(name='Ivan', age=28)
+```
+
+## Available Models
+
+Check the [SambaNova documentation](https://docs.sambanova.ai/cloud/docs/get-started/supported-models) for the latest model offerings and capabilities.