use deploy flag

litellm/proxy/proxy_cli.py

@@ -30,15 +30,20 @@ def run_server(port, api_base, model, deploy, debug, temperature, max_tokens, te
             click.echo('No .env.template file found.')
     
     # from .proxy_server import app, initialize
-    from proxy_server import app, initialize
-    initialize(model, api_base, debug, temperature, max_tokens, telemetry)
+    from proxy_server import app, initialize, deploy_proxy
+    if deploy == True:
+        click.echo('LiteLLM: Deploying your proxy server')
+        url = deploy_proxy(model, api_base, debug, temperature, max_tokens, telemetry, deploy)
+        click.echo(f'LiteLLM: Your deployed url: {url}')
+    else:
+        initialize(model, api_base, debug, temperature, max_tokens, telemetry)
 
 
-    try:
-        import uvicorn
-    except:
-        raise ImportError("Uvicorn needs to be imported. Run - `pip install uvicorn`")
-    uvicorn.run(app, host='0.0.0.0', port=port)
+        try:
+            import uvicorn
+        except:
+            raise ImportError("Uvicorn needs to be imported. Run - `pip install uvicorn`")
+        uvicorn.run(app, host='0.0.0.0', port=port)
 
 
 if __name__ == "__main__":

litellm/proxy/proxy_server.py

@@ -53,6 +53,39 @@ def initialize(model, api_base, debug, temperature, max_tokens, telemetry):
     user_telemetry = telemetry
     usage_telemetry()
 
+def deploy_proxy(model, api_base, debug, temperature, max_tokens, telemetry, deploy):
+    # Load .env file
+
+    # Prepare data for posting
+    data = {
+        "model": model,
+        "api_base": api_base,
+        "debug": debug,
+        "temperature": temperature,
+        "max_tokens": max_tokens,
+    }
+
+    print(data)
+
+    # Make post request to the url
+    url = "https://api.litellm.ai/deploy"
+    files = {"file": open(".env", "rb")}
+    print(files)
+    # response = requests.post(url, data=data, files=files)
+
+    # # Check the status of the request
+    # if response.status_code != 200:
+    #     return f"Request to url: {url} failed with status: {response.status_code}"
+
+    # # Reading the response
+    # response_data = response.json()
+    # print(response_data)
+
+    # # Do something with response_data
+
+    return url
+
+
 # for streaming
 def data_generator(response):
     print("inside generator")