docs

docs/my-website/docs/tutorials/azure_openai.md

@@ -59,3 +59,73 @@ response = completion(
 )
 
 ```
+
+## Completion() with Streaming + Async
+```python
+import os 
+from litellm import acompletion
+
+# openai configs
+os.environ["OPENAI_API_KEY"] = ""
+
+# azure openai configs
+os.environ["AZURE_API_KEY"] = ""
+os.environ["AZURE_API_BASE"] = "https://openai-gpt-4-test-v-1.openai.azure.com/"
+os.environ["AZURE_API_VERSION"] = "2023-05-15"
+
+
+
+# openai call
+response = acompletion(
+    model = "gpt-3.5-turbo", 
+    messages= = [{ "content": "Hello, how are you?","role": "user"}],
+    stream=True
+)
+
+# azure call
+response = acompletion(
+    model = "azure/<your-azure-deployment>",
+    messages = [{ "content": "Hello, how are you?","role": "user"}],
+    stream=True
+)
+
+```
+
+## Calling completion() multi-threaded
+
+```python
+import os
+import threading
+from litellm import completion
+
+# Function to make a completion call
+def make_completion(model, messages):
+    response = completion(
+        model=model,
+        messages=messages,
+        stream=True
+    )
+
+    print(f"Response for {model}: {response}")
+
+# Set your API keys
+os.environ["OPENAI_API_KEY"] = "YOUR_OPENAI_API_KEY"
+os.environ["AZURE_API_KEY"] = "YOUR_AZURE_API_KEY"
+
+# Define the messages for the completions
+messages = [{"content": "Hello, how are you?", "role": "user"}]
+
+# Create threads for making the completions
+thread1 = threading.Thread(target=make_completion, args=("gpt-3.5-turbo", messages))
+thread2 = threading.Thread(target=make_completion, args=("azure/your-azure-deployment", messages))
+
+# Start both threads
+thread1.start()
+thread2.start()
+
+# Wait for both threads to finish
+thread1.join()
+thread2.join()
+
+print("Both completions are done.")
+```