Merge pull request #235 from langflow-ai/fix/ibm_validation

fix: added api key validation for IBM models

src/services/models_service.py

@@ -242,6 +242,35 @@ class ModelsService:
                 headers["Authorization"] = f"Bearer {api_key}"
             if project_id:
                 headers["Project-ID"] = project_id
+
+            # Validate credentials with a minimal completion request
+            async with httpx.AsyncClient() as client:
+                validation_url = f"{watson_endpoint}/ml/v1/text/generation"
+                validation_params = {"version": "2024-09-16"}
+                validation_payload = {
+                    "input": "test",
+                    "model_id": "ibm/granite-3-2b-instruct",
+                    "project_id": project_id,
+                    "parameters": {
+                        "max_new_tokens": 1,
+                    },
+                }
+
+                validation_response = await client.post(
+                    validation_url,
+                    headers=headers,
+                    params=validation_params,
+                    json=validation_payload,
+                    timeout=10.0,
+                )
+
+                if validation_response.status_code != 200:
+                    raise Exception(
+                        f"Invalid credentials or endpoint: {validation_response.status_code} - {validation_response.text}"
+                    )
+
+                logger.info("IBM Watson credentials validated successfully")
+
             # Fetch foundation models using the correct endpoint
             models_url = f"{watson_endpoint}/ml/v1/foundation_model_specs"