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

# OpenAI Adapter

**Please ensure OpenAI library is version 1.0.0 or higher; otherwise, refer to the older doc [OpenAI Adapter(Old)](/oss/python/integrations/adapters/openai-old/).**

A lot of people get started with OpenAI but want to explore other models. LangChain's integrations with many model providers make this easy to do so. While LangChain has it's own message and model APIs, we've also made it as easy as possible to explore other models by exposing an adapter to adapt LangChain models to the OpenAI api.

At the moment this only deals with output and does not return other information (token counts, stop reasons, etc).

```python theme={null}
import openai
from langchain_community.adapters import openai as lc_openai
```

## chat.completions.create

```python theme={null}
messages = [{"role": "user", "content": "hi"}]
```

Original OpenAI call

```python theme={null}
result = openai.chat.completions.create(
    messages=messages, model="gpt-3.5-turbo", temperature=0
)
result.choices[0].message.model_dump()
```

```output theme={null}
{'content': 'Hello! How can I assist you today?',
 'role': 'assistant',
 'function_call': None,
 'tool_calls': None}
```

LangChain OpenAI wrapper call

```python theme={null}
lc_result = lc_openai.chat.completions.create(
    messages=messages, model="gpt-3.5-turbo", temperature=0
)

lc_result.choices[0].message  # Attribute access
```

```output theme={null}
{'role': 'assistant', 'content': 'Hello! How can I help you today?'}
```

```python theme={null}
lc_result["choices"][0]["message"]  # Also compatible with index access
```

```output theme={null}
{'role': 'assistant', 'content': 'Hello! How can I help you today?'}
```

Swapping out model providers

```python theme={null}
lc_result = lc_openai.chat.completions.create(
    messages=messages, model="claude-2", temperature=0, provider="ChatAnthropic"
)
lc_result.choices[0].message
```

```output theme={null}
{'role': 'assistant', 'content': 'Hello! How can I assist you today?'}
```

## chat.completions.stream

Original OpenAI call

```python theme={null}
for c in openai.chat.completions.create(
    messages=messages, model="gpt-3.5-turbo", temperature=0, stream=True
):
    print(c.choices[0].delta.model_dump())
```

```output theme={null}
{'content': '', 'function_call': None, 'role': 'assistant', 'tool_calls': None}
{'content': 'Hello', 'function_call': None, 'role': None, 'tool_calls': None}
{'content': '!', 'function_call': None, 'role': None, 'tool_calls': None}
{'content': ' How', 'function_call': None, 'role': None, 'tool_calls': None}
{'content': ' can', 'function_call': None, 'role': None, 'tool_calls': None}
{'content': ' I', 'function_call': None, 'role': None, 'tool_calls': None}
{'content': ' assist', 'function_call': None, 'role': None, 'tool_calls': None}
{'content': ' you', 'function_call': None, 'role': None, 'tool_calls': None}
{'content': ' today', 'function_call': None, 'role': None, 'tool_calls': None}
{'content': '?', 'function_call': None, 'role': None, 'tool_calls': None}
{'content': None, 'function_call': None, 'role': None, 'tool_calls': None}
```

LangChain OpenAI wrapper call

```python theme={null}
for c in lc_openai.chat.completions.create(
    messages=messages, model="gpt-3.5-turbo", temperature=0, stream=True
):
    print(c.choices[0].delta)
```

```output theme={null}
{'role': 'assistant', 'content': ''}
{'content': 'Hello'}
{'content': '!'}
{'content': ' How'}
{'content': ' can'}
{'content': ' I'}
{'content': ' assist'}
{'content': ' you'}
{'content': ' today'}
{'content': '?'}
{}
```

Swapping out model providers

```python theme={null}
for c in lc_openai.chat.completions.create(
    messages=messages,
    model="claude-2",
    temperature=0,
    stream=True,
    provider="ChatAnthropic",
):
    print(c["choices"][0]["delta"])
```

```output theme={null}
{'role': 'assistant', 'content': ''}
{'content': 'Hello'}
{'content': '!'}
{'content': ' How'}
{'content': ' can'}
{'content': ' I'}
{'content': ' assist'}
{'content': ' you'}
{'content': ' today'}
{'content': '?'}
{}
```