From b1ed53de72bcd7a757bff395aa72a4178496d09c Mon Sep 17 00:00:00 2001
From: Krish Dholakia <krrishdholakia@gmail.com>
Date: Mon, 11 Dec 2023 08:30:55 -0800
Subject: [PATCH] Update README.md

---
 README.md | 16 ++++++++++++++++
 1 file changed, 16 insertions(+)

diff --git a/README.md b/README.md
index cc5c1a3a54..82cdceed5d 100644
--- a/README.md
+++ b/README.md
@@ -62,6 +62,22 @@ response = completion(model="command-nightly", messages=messages)
 print(response)
 ```
 
+## Async ([Docs](https://docs.litellm.ai/docs/completion/stream#async-completion))
+
+```python
+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)
+```
+
 ## Streaming ([Docs](https://docs.litellm.ai/docs/completion/stream))
 liteLLM supports streaming the model response back, pass `stream=True` to get a streaming iterator in response.  
 Streaming is supported for all models (Bedrock, Huggingface, TogetherAI, Azure, OpenAI, etc.)