build(ui/admin.py): support adding new models via ui

ui/admin.py

@@ -5,7 +5,7 @@ from dotenv import load_dotenv
 
 load_dotenv()
 import streamlit as st
-import base64, os
+import base64, os, json, uuid, requests
 
 # Replace your_base_url with the actual URL where the proxy auth app is hosted
 your_base_url = os.getenv("BASE_URL")  # Example base URL
@@ -25,6 +25,7 @@ def update_config(proxy_url, allowed_email_subdomain, admin_emails):
     st.session_state[
         "user_auth_url"
     ] = f"{your_base_url}/?page={encode_config(proxy_url=proxy_url, allowed_email_subdomain=allowed_email_subdomain, admin_emails=admin_emails)}"
+    st.session_state["is_admin"] = True
 
 
 def proxy_setup():
@@ -63,4 +64,81 @@ def proxy_setup():
 def admin_page(is_admin="NOT_GIVEN"):
     # Display the form for the admin to set the proxy URL and allowed email subdomain
     st.header("Admin Configuration")
-    proxy_setup()
+    st.session_state.setdefault("is_admin", is_admin)
+    # Add a navigation sidebar
+    st.sidebar.title("Navigation")
+    page = st.sidebar.radio("Go to", ("Proxy Setup", "Add Models"))
+    # Display different pages based on navigation selection
+    if page == "Proxy Setup":
+        proxy_setup()
+    elif page == "Add Models":
+        if st.session_state["is_admin"] != True:
+            st.write("Complete Proxy Setup to add new models")
+        else:
+            proxy_key = st.text_input("Proxy Key", placeholder="sk-...")
+            model_name = st.text_input(
+                "Model Name - user-facing model name", placeholder="gpt-3.5-turbo"
+            )
+            litellm_model_name = st.text_input(
+                "LiteLLM Model Name", placeholder="azure/gpt-35-turbo-us-east"
+            )
+            litellm_api_key = st.text_input("LiteLLM API Key")
+            litellm_api_base = st.text_input(
+                "[Optional] LiteLLM API Base",
+                placeholder="https://my-endpoint.openai.azure.com",
+            )
+            litellm_api_version = st.text_input(
+                "[Optional] LiteLLM API Version", placeholder="2023-07-01-preview"
+            )
+            litellm_params = json.loads(
+                st.text_area(
+                    "Additional Litellm Params (JSON dictionary). [See all possible inputs](https://github.com/BerriAI/litellm/blob/3f15d7230fe8e7492c95a752963e7fbdcaf7bf98/litellm/main.py#L293)",
+                    value={},
+                )
+            )
+            mode_options = ("completion", "embedding", "image generation")
+            mode_selected = st.selectbox("Mode", mode_options)
+            model_info = json.loads(
+                st.text_area(
+                    "Additional Model Info (JSON dictionary)",
+                    value={},
+                )
+            )
+
+            if st.button("Submit"):
+                try:
+                    model_info = {
+                        "model_name": model_name,
+                        "litellm_params": {
+                            "model": litellm_model_name,
+                            "api_key": litellm_api_key,
+                            "api_base": litellm_api_base,
+                            "api_version": litellm_api_version,
+                        },
+                        "model_info": {
+                            "id": str(uuid.uuid4()),
+                            "mode": mode_selected,
+                        },
+                    }
+                    # Make the POST request to the specified URL
+                    complete_url = ""
+                    if st.session_state["proxy_url"].endswith("/"):
+                        complete_url = f"{st.session_state['proxy_url']}model/new"
+                    else:
+                        complete_url = f"{st.session_state['proxy_url']}/model/new"
+
+                    headers = {"Authorization": f"Bearer {proxy_key}"}
+                    response = requests.post(
+                        complete_url, json=model_info, headers=headers
+                    )
+
+                    if response.status_code == 200:
+                        st.success("Model added successfully!")
+                    else:
+                        st.error(
+                            f"Failed to add model. Status code: {response.status_code}"
+                        )
+
+                    st.success("Form submitted successfully!")
+                except Exception as e:
+                    raise e