feat(ui): add models via ui

adds ability to add models via ui to the proxy. also fixes additional bugs around new /model/new endpoint

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litellm/proxy/_experimental/out/index.txt

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litellm/proxy/proxy_server.py

@@ -2407,6 +2407,7 @@ class ProxyConfig:
                 if isinstance(_litellm_params, dict):
                     # decrypt values
                     for k, v in _litellm_params.items():
+                        if isinstance(v, str):
                             # decode base64
                             decoded_b64 = base64.b64decode(v)
                             # decrypt value
@@ -6769,7 +6770,7 @@ async def info_budget(data: BudgetRequest):
     dependencies=[Depends(user_api_key_auth)],
 )
 async def add_new_model(
-    model_params: ModelParams,
+    model_params: Deployment,
     user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
 ):
     global llm_router, llm_model_list, general_settings, user_config_file_path, proxy_config, prisma_client, master_key
@@ -6793,7 +6794,11 @@ async def add_new_model(
             - store keys separately
             """
             # encrypt litellm params #
-            for k, v in model_params.litellm_params.items():
+            _litellm_params_dict = model_params.litellm_params.model_dump(
+                exclude_none=True
+            )
+            for k, v in _litellm_params_dict.items():
+                if isinstance(v, str):
                     encrypted_value = encrypt_value(value=v, master_key=master_key)  # type: ignore
                     model_params.litellm_params[k] = base64.b64encode(
                         encrypted_value
@@ -6801,7 +6806,7 @@ async def add_new_model(
             await prisma_client.db.litellm_proxymodeltable.create(
                 data={
                     "model_name": model_params.model_name,
-                    "litellm_params": json.dumps(model_params.litellm_params),  # type: ignore
+                    "litellm_params": model_params.litellm_params.model_dump_json(exclude_none=True),  # type: ignore
                     "model_info": model_params.model_info.model_dump_json(  # type: ignore
                         exclude_none=True
                     ),
@@ -6852,10 +6857,18 @@ async def model_info_v2(
     """
     global llm_model_list, general_settings, user_config_file_path, proxy_config
 
+    if llm_model_list is None or not isinstance(llm_model_list, list):
+        raise HTTPException(
+            status_code=500,
+            detail={
+                "error": f"Invalid llm model list. llm_model_list={llm_model_list}"
+            },
+        )
+
     # Load existing config
     config = await proxy_config.get_config()
 
-    all_models = config.get("model_list", [])
+    all_models = llm_model_list
     if user_model is not None:
         # if user does not use a config.yaml, https://github.com/BerriAI/litellm/issues/2061
         all_models += [user_model]

litellm/proxy/utils.py

@@ -2182,32 +2182,6 @@ async def update_spend(
                 raise e
 
 
-# class Models:
-#     """
-#     Need a class to maintain state of models / router across calls to check if new deployments need to be added
-#     """
-
-#     def __init__(
-#         self,
-#         router: litellm.Router,
-#         llm_model_list: list,
-#         prisma_client: PrismaClient,
-#         proxy_logging_obj: ProxyLogging,
-#         master_key: str,
-#     ) -> None:
-#         self.router = router
-#         self.llm_model_list = llm_model_list
-#         self.prisma_client = prisma_client
-#         self.proxy_logging_obj = proxy_logging_obj
-#         self.master_key = master_key
-
-#     def get_router(self) -> litellm.Router:
-#         return self.router
-
-#     def get_model_list(self) -> list:
-#         return self.llm_model_list
-
-
 async def _read_request_body(request):
     """
     Asynchronous function to read the request body and parse it as JSON or literal data.

litellm/router.py

@@ -110,6 +110,11 @@ class Deployment(BaseModel):
     litellm_params: LiteLLM_Params
     model_info: ModelInfo
 
+    def __init__(self, model_info: Optional[ModelInfo] = None, **params):
+        if model_info is None:
+            model_info = ModelInfo()
+        super().__init__(model_info=model_info, **params)
+
     def to_json(self, **kwargs):
         try:
             return self.model_dump(**kwargs)  # noqa

ui/litellm-dashboard/out/_next/static/QiWWLSM3qA6xSFhVxek_e/_buildManifest.js

@@ -1 +0,0 @@
-self.__BUILD_MANIFEST={__rewrites:{afterFiles:[],beforeFiles:[],fallback:[]},"/_error":["static/chunks/pages/_error-d6107f1aac0c574c.js"],sortedPages:["/_app","/_error"]},self.__BUILD_MANIFEST_CB&&self.__BUILD_MANIFEST_CB();

ui/litellm-dashboard/out/_next/static/QiWWLSM3qA6xSFhVxek_e/_ssgManifest.js

@@ -1 +0,0 @@
-self.__SSG_MANIFEST=new Set([]);self.__SSG_MANIFEST_CB&&self.__SSG_MANIFEST_CB()

ui/litellm-dashboard/out/_next/static/chunks/app/layout-7221222f6368e429.js

@@ -1 +0,0 @@
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ui/litellm-dashboard/out/_next/static/chunks/webpack-0b24ae51efb18f55.js

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ui/litellm-dashboard/out/index.html

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ui/litellm-dashboard/out/index.txt

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ui/litellm-dashboard/package-lock.json

@@ -29,6 +29,7 @@
         "@tailwindcss/forms": "^0.5.7",
         "@types/node": "^20",
         "@types/react": "18.2.48",
+        "@types/react-copy-to-clipboard": "^5.0.7",
         "@types/react-dom": "^18",
         "@types/react-syntax-highlighter": "^15.5.11",
         "autoprefixer": "^10.4.17",
@@ -923,6 +924,15 @@
         "csstype": "^3.0.2"
       }
     },
+    "node_modules/@types/react-copy-to-clipboard": {
+      "version": "5.0.7",
+      "resolved": "https://registry.npmjs.org/@types/react-copy-to-clipboard/-/react-copy-to-clipboard-5.0.7.tgz",
+      "integrity": "sha512-Gft19D+as4M+9Whq1oglhmK49vqPhcLzk8WfvfLvaYMIPYanyfLy0+CwFucMJfdKoSFyySPmkkWn8/E6voQXjQ==",
+      "dev": true,
+      "dependencies": {
+        "@types/react": "*"
+      }
+    },
     "node_modules/@types/react-dom": {
       "version": "18.2.18",
       "resolved": "https://registry.npmjs.org/@types/react-dom/-/react-dom-18.2.18.tgz",

ui/litellm-dashboard/package.json

@@ -30,6 +30,7 @@
     "@tailwindcss/forms": "^0.5.7",
     "@types/node": "^20",
     "@types/react": "18.2.48",
+    "@types/react-copy-to-clipboard": "^5.0.7",
     "@types/react-dom": "^18",
     "@types/react-syntax-highlighter": "^15.5.11",
     "autoprefixer": "^10.4.17",

ui/litellm-dashboard/src/components/dashboard_default_team.tsx

@@ -6,11 +6,27 @@ interface DashboardTeamProps {
   setSelectedTeam: React.Dispatch<React.SetStateAction<any | null>>;
 }
 
+type TeamInterface = {
+  models: any[];
+  team_id: null;
+  team_alias: String
+}
+
 const DashboardTeam: React.FC<DashboardTeamProps> = ({
   teams,
   setSelectedTeam,
 }) => {
-  const [value, setValue] = useState("");
+  const defaultTeam: TeamInterface = {
+    models: [],
+    team_id: null,
+    team_alias: "Default Team"
+  }
+
+
+  const [value, setValue] = useState(defaultTeam);
+
+  const updatedTeams = teams ? [...teams, defaultTeam] : [defaultTeam];
+
 
   return (
     <div className="mt-5 mb-5">
@@ -19,9 +35,12 @@ const DashboardTeam: React.FC<DashboardTeamProps> = ({
         If you belong to multiple teams, this setting controls which team is
         used by default when creating new API Keys.
       </Text>
-      {teams && teams.length > 0 ? (
+      <Text className="mt-3 mb-3">
+      <b>Default Team:</b> If no team_id is set for a key, it will be grouped under here.
+    </Text>
+      {updatedTeams && updatedTeams.length > 0 ? (
         <Select defaultValue="0">
-          {teams.map((team: any, index) => (
+          {updatedTeams.map((team: any, index) => (
             <SelectItem
               key={index}
               value={String(index)}

ui/litellm-dashboard/src/components/model_dashboard.tsx

@@ -13,12 +13,29 @@ import {
   Text,
   Grid,
 } from "@tremor/react";
-import { modelInfoCall, userGetRequesedtModelsCall, modelMetricsCall } from "./networking";
+import { TabPanel, TabPanels, TabGroup, TabList, Tab, TextInput } from "@tremor/react";
+import { Select, SelectItem } from "@tremor/react";
+import { modelInfoCall, userGetRequesedtModelsCall, modelMetricsCall, modelCreateCall, Model } from "./networking";
 import { BarChart } from "@tremor/react";
+import {
+  Button as Button2,
+  Modal,
+  Form,
+  Input,
+  Select as Select2,
+  InputNumber,
+  message,
+  Descriptions,
+  Tooltip,
+  Space,
+  Row, Col,
+} from "antd";
 import { Badge, BadgeDelta, Button } from "@tremor/react";
 import RequestAccess from "./request_model_access";
 import { Typography } from "antd";
 
+const { Title: Title2, Link } = Typography;
+
 interface ModelDashboardProps {
   accessToken: string | null;
   token: string | null;
@@ -35,6 +52,10 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
   const [modelData, setModelData] = useState<any>({ data: [] });
   const [modelMetrics, setModelMetrics] = useState<any[]>([]);
   const [pendingRequests, setPendingRequests] = useState<any[]>([]);
+  const [form] = Form.useForm();
+
+  const providers = ["OpenAI", "Azure OpenAI", "Anthropic", "Gemini (Google AI Studio)", "Amazon Bedrock", "OpenAI-Compatible Endpoints (Groq, Together AI, Mistral AI, etc.)"]
+  const [selectedProvider, setSelectedProvider] = useState<String>("OpenAI");
 
   useEffect(() => {
     if (!accessToken || !token || !userRole || !userID) {
@@ -141,9 +162,73 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
     );
   }
 
+  const handleSubmit = async (formValues: Record<string, any>) => {
+    const litellmParamsObj: Record<string, any>  = {};
+    const modelInfoObj: Record<string, any>  = {};
+    let modelName: string  = "";
+    // Iterate through the key-value pairs in formValues
+    for (const [key, value] of Object.entries(formValues)) {
+      console.log(`key: ${key}, value: ${value}`)
+      if (key == "model_name") {
+        modelName = value
+      }
+
+      // Check if key is any of the specified API related keys
+      if (key === "api_key" || key === "model" || key === "api_base" || key === "api_version" || key.startsWith("aws_")) {
+        // Add key-value pair to litellm_params dictionary
+        litellmParamsObj[key] = value;
+      }
+
+      // Check if key is "base_model"
+      if (key === "base_model") {
+        // Add key-value pair to model_info dictionary
+        modelInfoObj[key] = value;
+      }
+    }
+
+    console.log(`final new model: ${modelName}`)
+
+    const new_model: Model = {  
+      "model_name": modelName,
+      "litellm_params": litellmParamsObj,
+      "model_info": modelInfoObj
+    }
+
+    
+
+    const response: any = await modelCreateCall(
+      accessToken,
+      new_model
+    );
+
+    console.log(`response for model create call: ${response["data"]}`);
+  }
+
+  const handleOk = () => {
+    form
+        .validateFields()
+        .then((values) => {
+          handleSubmit(values);
+          form.resetFields();
+        })
+        .catch((error) => {
+          console.error("Validation failed:", error);
+        });
+  };
+
+  console.log(`selectedProvider: ${selectedProvider}`)
+
   return (
-    <div style={{ width: "100%" }}>
+    <div style={{ width: "100%", height: "100%"}}>
-      <Grid className="gap-2 p-8 h-[75vh] w-full mt-2">
+      <TabGroup className="gap-2 p-8 h-[75vh] w-full mt-2">
+        <TabList className="mt-2">
+          <Tab>All Models</Tab>
+          <Tab>Add Model</Tab>
+        </TabList>
+      
+      <TabPanels>
+          <TabPanel>
+      <Grid>
         <Card>
           <Table className="mt-5">
             <TableHead>
@@ -274,6 +359,130 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
           </Card>
         ) : null} */}
       </Grid>
+      </TabPanel>
+      <TabPanel className="h-full">
+      {/* <Card className="mx-auto max-w-lg flex flex-col h-[60vh] space-between">
+        
+      </Card> */}
+      <Title2 level={2}>Add new model</Title2>
+      <Card>
+        <Form.Item required={true} label="Provider:" name="custom_llm_provider" tooltip="E.g. OpenAI, Azure OpenAI, Anthropic, Bedrock, etc." labelCol={{ span: 10 }} labelAlign="left">
+        <Select value={selectedProvider.toString()}>
+          {providers.map((provider, index) => (
+              <SelectItem
+                key={index}
+                value={provider}
+                onClick={() => {
+                  setSelectedProvider(provider);
+                }}
+              >
+                {provider}
+              </SelectItem>
+            ))}
+        </Select>
+        </Form.Item>
+        <Form
+          form={form}
+          onFinish={handleOk}
+          labelCol={{ span: 10 }}
+          wrapperCol={{ span: 16 }}
+          labelAlign="left"
+        >
+              <>
+              <Form.Item required={true} label="Public Model Name" name="model_name" tooltip="Model name your users will pass in. Also used for load-balancing, LiteLLM will load balance between all models with this public name." className="mb-0">
+                  <TextInput placeholder="gpt-3.5-turbo"/>
+                </Form.Item>
+                <Row>
+                <Col span={10}></Col>
+                <Col span={10}><Text className="mb-3 mt-1">Model name your users will pass in</Text></Col>
+                </Row>
+                <Form.Item required={true} label="LiteLLM Model Name" name="model" tooltip="Actual model name used for making litellm.completion() call." className="mb-0">
+                  <TextInput placeholder="gpt-3.5-turbo-0125"/>
+                </Form.Item>
+                <Row>
+                <Col span={10}></Col>
+                <Col span={10}><Text className="mb-3 mt-1">Actual model name used for making <Link href="https://docs.litellm.ai/docs/providers" target="_blank">litellm.completion() call</Link></Text></Col>
+                </Row>
+                
+                {
+                  selectedProvider != "Amazon Bedrock" && <Form.Item
+                  required={true}
+                    label="API Key"
+                    name="api_key"
+                  >
+                    <TextInput placeholder="sk-"/>
+                  </Form.Item>
+                }
+                {
+                  selectedProvider == "Azure OpenAI" && <Form.Item
+                  required={true}
+                  label="API Base"
+                  name="api_base"
+                >
+                  <TextInput placeholder="https://..."/>
+                </Form.Item>
+                }
+                {
+                  selectedProvider == "Azure OpenAI" && <Form.Item
+                  required={true}
+                  label="API Version"
+                  name="api_version"
+                >
+                  <TextInput placeholder="2023-07-01-preview"/>
+                </Form.Item>
+                }
+                {
+                  selectedProvider == "Azure OpenAI" && <Form.Item
+                  label="Base Model"
+                  name="base_model"
+                >
+                  <TextInput placeholder="azure/gpt-3.5-turbo"/>
+                  <Text>The actual model your azure deployment uses. Used for accurate cost tracking. Select name from <Link href="https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json" target="_blank">here</Link></Text>
+                </Form.Item>
+                }
+                {
+                  selectedProvider == "Amazon Bedrock" && <Form.Item
+                  required={true}
+                  label="AWS Access Key ID"
+                  name="aws_access_key_id"
+                  tooltip="You can provide the raw key or the environment variable (e.g. `os.environ/MY_SECRET_KEY`)."
+                >
+                  <TextInput placeholder=""/>
+                </Form.Item>
+                }
+                {
+                  selectedProvider == "Amazon Bedrock" && <Form.Item
+                  required={true}
+                  label="AWS Secret Access Key"
+                  name="aws_secret_access_key"
+                  tooltip="You can provide the raw key or the environment variable (e.g. `os.environ/MY_SECRET_KEY`)."
+                >
+                  <TextInput placeholder=""/>
+                </Form.Item>
+                }
+                {
+                  selectedProvider == "Amazon Bedrock" && <Form.Item
+                  required={true}
+                  label="AWS Region Name"
+                  name="aws_region_name"
+                  tooltip="You can provide the raw key or the environment variable (e.g. `os.environ/MY_SECRET_KEY`)."
+                >
+                  <TextInput placeholder="us-east-1"/>
+                </Form.Item>
+                }
+              </>
+              <div style={{ textAlign: "center", marginTop: "10px" }}>
+                <Button2 htmlType="submit">Add Model</Button2>
+              </div>
+              <Tooltip title="Get help on our github">
+                <Typography.Link href="https://github.com/BerriAI/litellm/issues">Need Help?</Typography.Link>
+              </Tooltip>
+        </Form>
+      </Card>
+      </TabPanel>
+      </TabPanels>
+      </TabGroup>
+      
     </div>
   );
 };

ui/litellm-dashboard/src/components/networking.tsx

@@ -6,6 +6,45 @@ import { message } from "antd";
 const isLocal = process.env.NODE_ENV === "development";
 const proxyBaseUrl = isLocal ? "http://localhost:4000" : null;
 
+export interface Model {
+  model_name: string;
+  litellm_params: Object;
+  model_info: Object | null;
+}
+
+export const modelCreateCall = async (
+  accessToken: string,
+  formValues: Model
+) => {
+  try {
+    const url = proxyBaseUrl ? `${proxyBaseUrl}/model/new` : `/model/new`;
+    const response = await fetch(url, {
+      method: "POST",
+      headers: {
+        Authorization: `Bearer ${accessToken}`,
+        "Content-Type": "application/json",
+      },
+      body: JSON.stringify({
+        ...formValues, // Include formValues in the request body
+      }),
+    });
+
+    if (!response.ok) {
+      const errorData = await response.text();
+      message.error("Failed to create key: " + errorData);
+      console.error("Error response from the server:", errorData);
+      throw new Error("Network response was not ok");
+    }
+
+    const data = await response.json();
+    console.log("API Response:", data);
+    return data;
+  } catch (error) {
+    console.error("Failed to create key:", error);
+    throw error;
+  }
+}
+
 export const keyCreateCall = async (
   accessToken: string,
   userID: string,

ui/litellm-dashboard/src/components/view_user_spend.tsx

@@ -70,7 +70,7 @@ const ViewUserSpend: React.FC<ViewUserSpendProps> = ({ userID, userRole, accessT
 
     return (
         <>
-      <p className="text-tremor-default text-tremor-content dark:text-dark-tremor-content">Total Spend</p>
+      <p className="text-tremor-default text-tremor-content dark:text-dark-tremor-content">Total Spend (across all teams)</p>
       <p className="text-3xl text-tremor-content-strong dark:text-dark-tremor-content-strong font-semibold">${roundedSpend}</p>
         
     </>