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docs/stream.md

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+# Streaming Responses & Async Completion
+
+- [Streaming Responses](#streaming-responses)
+- [Async Completion](#async-completion)
+
+LiteLLM supports streaming the model response back by passing `stream=True` as an argument to the completion function
+
+## Streaming Responses
+### Usage
+```python
+response = completion(model="gpt-3.5-turbo", messages=messages, stream=True)
+for chunk in response:
+    print(chunk['choices'][0]['delta'])
+
+```
+Asynchronous Completion with LiteLLM
+LiteLLM provides an asynchronous version of the completion function called `acompletion`
+
+## Async Completion
+### Usage
+```
+from litellm import acompletion
+import asyncio
+
+async def test_get_response():
+    user_message = "Hello, how are you?"
+    messages = [{"content": user_message, "role": "user"}]
+    response = await acompletion(model="gpt-3.5-turbo", messages=messages)
+    return response
+
+response = asyncio.run(test_get_response())
+print(response)
+
+```