Backport PR #1136: Add base API URL field for Ollama and OpenAI embed…

…ding models

packages/jupyter-ai-magics/jupyter_ai_magics/partner_providers/ollama.py

@@ -1,7 +1,7 @@
 from langchain_ollama import ChatOllama, OllamaEmbeddings
 
 from ..embedding_providers import BaseEmbeddingsProvider
-from ..providers import BaseProvider, EnvAuthStrategy, TextField
+from ..providers import BaseProvider, TextField
 
 
 class OllamaProvider(BaseProvider, ChatOllama):
@@ -23,10 +23,14 @@ class OllamaEmbeddingsProvider(BaseEmbeddingsProvider, OllamaEmbeddings):
     id = "ollama"
     name = "Ollama"
     # source: https://ollama.com/library
+    model_id_key = "model"
     models = [
         "nomic-embed-text",
         "mxbai-embed-large",
         "all-minilm",
         "snowflake-arctic-embed",
     ]
-    model_id_key = "model"
+    registry = True
+    fields = [
+        TextField(key="base_url", label="Base API URL (optional)", format="text"),
+    ]

packages/jupyter-ai-magics/jupyter_ai_magics/partner_providers/openai.py

@@ -107,6 +107,12 @@ class OpenAIEmbeddingsProvider(BaseEmbeddingsProvider, OpenAIEmbeddings):
     model_id_key = "model"
     pypi_package_deps = ["langchain_openai"]
     auth_strategy = EnvAuthStrategy(name="OPENAI_API_KEY")
+    registry = True
+    fields = [
+        TextField(
+            key="openai_api_base", label="Base API URL (optional)", format="text"
+        ),
+    ]
 
 
 class AzureOpenAIEmbeddingsProvider(BaseEmbeddingsProvider, AzureOpenAIEmbeddings):
@@ -122,5 +128,7 @@ class AzureOpenAIEmbeddingsProvider(BaseEmbeddingsProvider, AzureOpenAIEmbedding
     auth_strategy = EnvAuthStrategy(
         name="AZURE_OPENAI_API_KEY", keyword_param="openai_api_key"
     )
-
     registry = True
+    fields = [
+        TextField(key="azure_endpoint", label="Base API URL (optional)", format="text"),
+    ]

packages/jupyter-ai/jupyter_ai/config_manager.py

@@ -462,6 +462,13 @@ def _provider_params(self, key, listing, completions: bool = False):
         else:
             fields = config.fields.get(model_uid, {})
 
+        # exclude empty fields
+        # TODO: modify the config manager to never save empty fields in the
+        # first place.
+        for field_key in fields:
+            if isinstance(fields[field_key], str) and not len(fields[field_key]):
+                fields[field_key] = None
+
         # get authn fields
         _, Provider = get_em_provider(model_uid, listing)
         authn_fields = {}

packages/jupyter-ai/src/components/chat-settings.tsx

@@ -91,6 +91,9 @@ export function ChatSettings(props: ChatSettingsProps): JSX.Element {
   const [apiKeys, setApiKeys] = useState<Record<string, string>>({});
   const [sendWse, setSendWse] = useState<boolean>(false);
   const [fields, setFields] = useState<Record<string, any>>({});
+  const [embeddingModelFields, setEmbeddingModelFields] = useState<
+    Record<string, any>
+  >({});
 
   const [isCompleterEnabled, setIsCompleterEnabled] = useState(
     props.completionProvider && props.completionProvider.isEnabled()
@@ -191,7 +194,15 @@ export function ChatSettings(props: ChatSettingsProps): JSX.Element {
     const currFields: Record<string, any> =
       server.config.fields?.[lmGlobalId] ?? {};
     setFields(currFields);
-  }, [server, lmProvider]);
+
+    if (!emGlobalId) {
+      return;
+    }
+
+    const initEmbeddingModelFields: Record<string, any> =
+      server.config.fields?.[emGlobalId] ?? {};
+    setEmbeddingModelFields(initEmbeddingModelFields);
+  }, [server, lmGlobalId, emGlobalId]);
 
   const handleSave = async () => {
     // compress fields with JSON values
@@ -225,6 +236,9 @@ export function ChatSettings(props: ChatSettingsProps): JSX.Element {
           }),
           ...(clmGlobalId && {
             [clmGlobalId]: fields
+          }),
+          ...(emGlobalId && {
+            [emGlobalId]: embeddingModelFields
           })
         }
       }),
@@ -379,26 +393,35 @@ export function ChatSettings(props: ChatSettingsProps): JSX.Element {
       {/* Embedding model section */}
       <h2 className="jp-ai-ChatSettings-header">Embedding model</h2>
       {server.emProviders.providers.length > 0 ? (
-        <Select
-          value={emGlobalId}
-          label="Embedding model"
-          onChange={e => {
-            const emGid = e.target.value === 'null' ? null : e.target.value;
-            setEmGlobalId(emGid);
-          }}
-          MenuProps={{ sx: { maxHeight: '50%', minHeight: 400 } }}
-        >
-          <MenuItem value="null">None</MenuItem>
-          {server.emProviders.providers.map(emp =>
-            emp.models
-              .filter(em => em !== '*') // TODO: support registry providers
-              .map(em => (
-                <MenuItem value={`${emp.id}:${em}`}>
-                  {emp.name} :: {em}
-                </MenuItem>
-              ))
+        <Box>
+          <Select
+            value={emGlobalId}
+            label="Embedding model"
+            onChange={e => {
+              const emGid = e.target.value === 'null' ? null : e.target.value;
+              setEmGlobalId(emGid);
+            }}
+            MenuProps={{ sx: { maxHeight: '50%', minHeight: 400 } }}
+          >
+            <MenuItem value="null">None</MenuItem>
+            {server.emProviders.providers.map(emp =>
+              emp.models
+                .filter(em => em !== '*') // TODO: support registry providers
+                .map(em => (
+                  <MenuItem value={`${emp.id}:${em}`}>
+                    {emp.name} :: {em}
+                  </MenuItem>
+                ))
+            )}
+          </Select>
+          {emGlobalId && (
+            <ModelFields
+              fields={emProvider?.fields}
+              values={embeddingModelFields}
+              onChange={setEmbeddingModelFields}
+            />
           )}
-        </Select>
+        </Box>
       ) : (
         <p>No embedding models available.</p>
       )}