Add support for third-party LLM endpoints

DEVELOPMENT.md

@@ -84,6 +84,23 @@ How to set up your local machine.
 
     Open [http://localhost:5000](http://localhost:5000) to view it in the browser.
 
+## Third-Party LLM Endpoints
+
+To use third-party LLM endpoints, such as Ollama, follow these steps:
+
+1. **Set Environment Variables**  
+    Set the following environment variables to configure the third-party LLM endpoint:
+    ```bash
+    export LLM_ENDPOINT="http://localhost:11434"  # Example for Ollama
+    export LLM_MODEL="llama2"  # Default model
+    export LLM_API_KEY=""  # API key if required
+    ```
+
+2. **Update `client_utils.py`**  
+    Ensure that the `get_client` function in `py-src/data_formulator/agents/client_utils.py` is updated to handle third-party LLM endpoints using LiteLLM.
+
+3. **Frontend Configuration**  
+    Update the frontend UI in `src/views/ModelSelectionDialog.tsx` to provide options for third-party LLM endpoints.
 
 ## Usage
 See the [Usage section on the README.md page](README.md#usage).

py-src/data_formulator/agents/client_utils.py

@@ -6,30 +6,38 @@
 import sys
 
 from azure.identity import DefaultAzureCredential, get_bearer_token_provider
-
+from litellm import completion  # Import LiteLLM
 
 def get_client(endpoint, key):
 
-	endpoint = os.getenv("ENDPOINT") if endpoint == "default" else endpoint
+    endpoint = os.getenv("ENDPOINT") if endpoint == "default" else endpoint
 
-	if key is None or key == "":
-		# using azure keyless access method
-		token_provider = get_bearer_token_provider(
-			DefaultAzureCredential(), "https://cognitiveservices.azure.com/.default"
-		)
-		print(token_provider)
-		print(endpoint)
-		client = openai.AzureOpenAI(
-			api_version="2024-02-15-preview",
-			azure_endpoint=endpoint,
-			azure_ad_token_provider=token_provider
-		)
-	elif endpoint == 'openai':
-		client = openai.OpenAI(api_key=key)
-	else:
-		client = openai.AzureOpenAI(
-			azure_endpoint = endpoint,  
-			api_key=key,  
-			api_version="2024-02-15-preview"
-		)
-	return client
+    if key is None or key == "":
+        # using azure keyless access method
+        token_provider = get_bearer_token_provider(
+            DefaultAzureCredential(), "https://cognitiveservices.azure.com/.default"
+        )
+        print(token_provider)
+        print(endpoint)
+        client = openai.AzureOpenAI(
+            api_version="2024-02-15-preview",
+            azure_endpoint=endpoint,
+            azure_ad_token_provider=token_provider
+        )
+    elif endpoint == 'openai':
+        client = openai.OpenAI(api_key=key)
+    elif "ollama" in endpoint.lower():
+        model = os.getenv("LLM_MODEL", "llama2")
+        client = completion(
+            model=f"ollama/{model}",
+            api_base=endpoint,
+            api_key=key,
+            custom_llm_provider="ollama"
+        )
+    else:
+        client = openai.AzureOpenAI(
+            azure_endpoint=endpoint,
+            api_key=key,
+            api_version="2024-02-15-preview"
+        )
+    return client

src/views/ModelSelectionDialog.tsx

@@ -1,7 +1,3 @@
-
-// Copyright (c) Microsoft Corporation.
-// Licensed under the MIT License.
-
 import React, { useState } from 'react';
 import '../scss/App.scss';
 
@@ -132,6 +128,7 @@ export const ModelSelectionButton: React.FC<{}> = ({ }) => {
                 >
                     <MenuItem sx={{fontSize: '0.875rem' }} value="openai">openai</MenuItem>
                     <MenuItem sx={{fontSize: '0.875rem' }} value="azureopenai">azure openai</MenuItem>
+                    <MenuItem sx={{fontSize: '0.875rem' }} value="ollama">ollama</MenuItem>
                 </Select>
             </FormControl>
         </TableCell>
@@ -254,7 +251,7 @@ export const ModelSelectionButton: React.FC<{}> = ({ }) => {
                                 <Radio checked={isItemSelected} name="radio-buttons" inputProps={{'aria-label': 'Select this model'}} />
                             </TableCell>
                             <TableCell align="left" sx={{ borderBottom: noBorderStyle }}>
-                                {oaiModel.endpoint == 'openai' ? 'openai' : 'azure openai'}
+                                {oaiModel.endpoint == 'openai' ? 'openai' : (oaiModel.endpoint.includes('ollama') ? 'ollama' : 'azure openai')}
                             </TableCell>
                             <TableCell component="th" scope="row" sx={{ borderBottom: borderStyle }}>
                                 {oaiModel.endpoint}