feat: add method and refresh button to fetch Groq models (#2902)

* feat: add method and refresh button to fetch Groq models

* [autofix.ci] apply automated fixes

---------

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>

src/backend/base/langflow/components/models/GroqModel.py

@@ -1,7 +1,8 @@
+import requests
+from typing import List
 from langchain_groq import ChatGroq
 from pydantic.v1 import SecretStr
 
-from langflow.base.models.groq_constants import MODEL_NAMES
 from langflow.base.models.model import LCModelComponent
 from langflow.field_typing import LanguageModel
 from langflow.io import DropdownInput, FloatInput, IntInput, MessageTextInput, SecretStrInput
@@ -24,6 +25,7 @@ class GroqModel(LCModelComponent):
             display_name="Groq API Base",
             info="Base URL path for API requests, leave blank if not using a proxy or service emulator.",
             advanced=True,
+            value="https://api.groq.com",
         ),
         IntInput(
             name="max_tokens",
@@ -47,10 +49,33 @@ class GroqModel(LCModelComponent):
             name="model_name",
             display_name="Model",
             info="The name of the model to use.",
-            options=MODEL_NAMES,
+            options=[],
+            refresh_button=True,
         ),
     ]
 
+    def get_models(self) -> List[str]:
+        api_key = self.groq_api_key
+        base_url = self.groq_api_base or "https://api.groq.com"
+        url = f"{base_url}/openai/v1/models"
+
+        headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
+
+        try:
+            response = requests.get(url, headers=headers)
+            response.raise_for_status()
+            model_list = response.json()
+            return [model["id"] for model in model_list.get("data", [])]
+        except requests.RequestException as e:
+            self.status = f"Error fetching models: {str(e)}"
+            return []
+
+    def update_build_config(self, build_config: dict, field_value: str, field_name: str | None = None):
+        if field_name == "groq_api_key" or field_name == "groq_api_base" or field_name == "model_name":
+            models = self.get_models()
+            build_config["model_name"]["options"] = models
+        return build_config
+
     def build_model(self) -> LanguageModel:  # type: ignore[type-var]
         groq_api_key = self.groq_api_key
         model_name = self.model_name