fix: valdiate watsonX key and enable tool calling for Watson X models

src/lfx/src/lfx/base/models/unified_models.py

@@ -319,9 +319,18 @@ def validate_model_provider_key(variable_name: str, api_key: str) -> None:
             llm = ChatGoogleGenerativeAI(google_api_key=api_key, model=first_model, max_tokens=1)
             llm.invoke("test")
         elif provider == "IBM WatsonX":
-            # WatsonX validation would require additional parameters
-            # Skip for now as it needs project_id, url, etc.
-            return
+            from langchain_ibm import ChatWatsonx
+
+            default_url = "https://us-south.ml.cloud.ibm.com"
+            llm = ChatWatsonx(
+                apikey=api_key,
+                url=default_url,
+                model_id=first_model,
+                project_id="dummy_project_for_validation",  # Dummy project_id for validation
+                params={"max_new_tokens": 1},
+            )
+            llm.invoke("test")
+
         elif provider == "Ollama":
             # Ollama is local, just verify the URL is accessible
             import requests

src/lfx/src/lfx/base/models/watsonx_constants.py

@@ -6,7 +6,7 @@
         name="ibm/granite-3-2b-instruct",
         icon="WatsonxAI",
         model_type="llm",
-        tool_calling=False,
+        tool_calling=True,
         default=True,
     ),
     create_model_metadata(
@@ -22,7 +22,7 @@
         name="ibm/granite-13b-instruct-v2",
         icon="WatsonxAI",
         model_type="llm",
-        tool_calling=False,
+        tool_calling=True,
         default=True,
     ),
 ]
@@ -33,27 +33,31 @@
         name="sentence-transformers/all-minilm-l12-v2",
         icon="WatsonxAI",
         model_type="embeddings",
+        tool_calling=True,
         default=True,
     ),
     create_model_metadata(
         provider="IBM WatsonX",
         name="ibm/slate-125m-english-rtrvr-v2",
         icon="WatsonxAI",
         model_type="embeddings",
+        tool_calling=True,
         default=True,
     ),
     create_model_metadata(
         provider="IBM WatsonX",
         name="ibm/slate-30m-english-rtrvr-v2",
         icon="WatsonxAI",
         model_type="embeddings",
+        tool_calling=True,
         default=True,
     ),
     create_model_metadata(
         provider="IBM WatsonX",
         name="intfloat/multilingual-e5-large",
         icon="WatsonxAI",
         model_type="embeddings",
+        tool_calling=True,
         default=True,
     ),
 ]