(feat) ui - show user key when creating key

litellm/proxy/proxy_config.yaml

@@ -9,60 +9,32 @@ model_list:
       mode: chat
       max_tokens: 4096
       base_model: azure/gpt-4-1106-preview
+  - model_name: openai-gpt-3.5
+    litellm_params:
+      model: gpt-3.5-turbo
+      api_key: os.environ/OPENAI_API_KEY
+  - model_name: anthropic-claude-v2.1
+    litellm_params:
+      aws_region_name: eu-central-1
+      model: bedrock/anthropic.claude-v2:1
+      timeout: 300 # sets a 5 minute timeout
+      input_cost_per_token: 0.00000800
+      output_cost_per_token: 0.00002400
+  - model_name: anthropic-claude-v2
+    litellm_params:
+      model: bedrock/anthropic.claude-v2
+  - model_name: bedrock-cohere
+    litellm_params:
+      model: bedrock/cohere.command-text-v14
+      timeout: 0.0001
   - model_name: gpt-4
     litellm_params:
       model: azure/chatgpt-v-2
       api_base: https://openai-gpt-4-test-v-1.openai.azure.com/
       api_version: "2023-05-15"
       api_key: os.environ/AZURE_API_KEY # The `os.environ/` prefix tells litellm to read this from the env. See https://docs.litellm.ai/docs/simple_proxy#load-api-keys-from-vault
-  - model_name: gpt-vision
-    litellm_params:
-      model: azure/gpt-4-vision
-      base_url: https://gpt-4-vision-resource.openai.azure.com/openai/deployments/gpt-4-vision/extensions
-      api_key: os.environ/AZURE_VISION_API_KEY
-      api_version: "2023-09-01-preview"
-      dataSources:
-        - type: AzureComputerVision
-          parameters:
-            endpoint: os.environ/AZURE_VISION_ENHANCE_ENDPOINT
-            key: os.environ/AZURE_VISION_ENHANCE_KEY
-  - model_name: BEDROCK_GROUP
-    litellm_params:
-      model: bedrock/cohere.command-text-v14
-      timeout: 0.0001
-  - model_name: tg-ai
-    litellm_params:
-      model: together_ai/mistralai/Mistral-7B-Instruct-v0.1
-  - model_name: sagemaker
-    litellm_params:
-      model: sagemaker/berri-benchmarking-Llama-2-70b-chat-hf-4
-  - model_name: openai-gpt-3.5
-    litellm_params:
-      model: gpt-3.5-turbo
-      api_key: os.environ/OPENAI_API_KEY
     model_info:
-      mode: chat
-  - model_name: azure-cloudflare
-    litellm_params:
-      model: azure/chatgpt-v-2
-      api_base: https://gateway.ai.cloudflare.com/v1/0399b10e77ac6668c80404a5ff49eb37/litellm-test/azure-openai/openai-gpt-4-test-v-1
-      api_key: os.environ/AZURE_API_KEY
-      api_version: "2023-07-01-preview"
-  - model_name: azure-embedding-model
-    litellm_params:
-      model: azure/azure-embedding-model
-      api_base: os.environ/AZURE_API_BASE
-      api_key: os.environ/AZURE_API_KEY
-      api_version: "2023-07-01-preview"
-    model_info:
-      mode: embedding
-      base_model: text-embedding-ada-002
-  - model_name: text-embedding-ada-002
-    litellm_params:
-      model: text-embedding-ada-002
-      api_key: os.environ/OPENAI_API_KEY
-    model_info:
-      mode: embedding
+      base_model: azure/gpt-4
 litellm_settings:
   fallbacks: [{"openai-gpt-3.5": ["azure-gpt-3.5"]}]
   success_callback: ['langfuse']

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

@@ -14,6 +14,7 @@ interface CreateKeyProps {
   userRole: string | null;
   accessToken: string;
   data: any[] | null;
+  userModels: string[];
   setData: React.Dispatch<React.SetStateAction<any[] | null>>;
 }
 
@@ -22,6 +23,7 @@ const CreateKey: React.FC<CreateKeyProps> = ({
   userRole,
   accessToken,
   data,
+  userModels,
   setData,
 }) => {
   const [form] = Form.useForm();
@@ -42,14 +44,6 @@ const CreateKey: React.FC<CreateKeyProps> = ({
   const handleCreate = async (formValues: Record<string, any>) => {
     try {
       message.info("Making API Call");
-      // Check if "models" exists and is not an empty string
-      if (formValues.models && formValues.models.trim() !== '') {
-        // Format the "models" field as an array
-        formValues.models = formValues.models.split(',').map((model: string) => model.trim());
-      } else {
-        // If "models" is undefined or an empty string, set it to an empty array
-        formValues.models = [];
-      }
       setIsModalVisible(true);
       const response = await keyCreateCall(accessToken, userID, formValues);
       setData((prevData) => (prevData ? [...prevData, response] : [response])); // Check if prevData is null
@@ -90,12 +84,21 @@ const CreateKey: React.FC<CreateKeyProps> = ({
             >
               <Input placeholder="ai_team" />
             </Form.Item>
-
             <Form.Item
-              label="Models (Comma Separated). Eg: gpt-3.5-turbo,gpt-4"
+            label="Models"
             name="models"
           >
-              <Input placeholder="gpt-4,gpt-3.5-turbo" />
+            <Select
+              mode="multiple"
+              placeholder="Select models"
+              style={{ width: '100%' }}
+            >
+              {userModels.map((model) => (
+                <Option key={model} value={model}>
+                  {model}
+                </Option>
+              ))}
+            </Select>
           </Form.Item>