feat: add is_active flag to model providers and update provider filtering (#8588)

* update model constants

* [autofix.ci] apply automated fixes

* update model input constants to reuse the filtered data

* Update test_agent_component.py

* [autofix.ci] apply automated fixes

---------

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

Author: edwinjosechittilappilly

src/backend/base/langflow/base/models/model_input_constants.py

@@ -19,6 +19,7 @@ class ModelProvidersDict(TypedDict):
     prefix: str
     component_class: LCModelComponent
     icon: str
+    is_active: bool
 
 
 def get_filtered_inputs(component_class):
@@ -186,6 +187,7 @@ def _get_sambanova_inputs_and_fields():
         "prefix": "",
         "component_class": OpenAIModelComponent(),
         "icon": OpenAIModelComponent.icon,
+        "is_active": True,
     }
 except ImportError:
     pass
@@ -198,6 +200,7 @@ def _get_sambanova_inputs_and_fields():
         "prefix": "",
         "component_class": AzureChatOpenAIComponent(),
         "icon": AzureChatOpenAIComponent.icon,
+        "is_active": False,
     }
 except ImportError:
     pass
@@ -210,6 +213,7 @@ def _get_sambanova_inputs_and_fields():
         "prefix": "",
         "component_class": GroqModel(),
         "icon": GroqModel.icon,
+        "is_active": True,
     }
 except ImportError:
     pass
@@ -222,6 +226,7 @@ def _get_sambanova_inputs_and_fields():
         "prefix": "",
         "component_class": AnthropicModelComponent(),
         "icon": AnthropicModelComponent.icon,
+        "is_active": True,
     }
 except ImportError:
     pass
@@ -234,6 +239,7 @@ def _get_sambanova_inputs_and_fields():
         "prefix": "",
         "component_class": NVIDIAModelComponent(),
         "icon": NVIDIAModelComponent.icon,
+        "is_active": False,
     }
 except ImportError:
     pass
@@ -246,6 +252,7 @@ def _get_sambanova_inputs_and_fields():
         "prefix": "",
         "component_class": AmazonBedrockComponent(),
         "icon": AmazonBedrockComponent.icon,
+        "is_active": False,
     }
 except ImportError:
     pass
@@ -258,6 +265,7 @@ def _get_sambanova_inputs_and_fields():
         "prefix": "",
         "component_class": GoogleGenerativeAIComponent(),
         "icon": GoogleGenerativeAIComponent.icon,
+        "is_active": True,
     }
 except ImportError:
     pass
@@ -270,17 +278,20 @@ def _get_sambanova_inputs_and_fields():
         "prefix": "",
         "component_class": SambaNovaComponent(),
         "icon": SambaNovaComponent.icon,
+        "is_active": False,
     }
 except ImportError:
     pass
 
-MODEL_PROVIDERS = list(MODEL_PROVIDERS_DICT.keys())
-ALL_PROVIDER_FIELDS: list[str] = [field for provider in MODEL_PROVIDERS_DICT.values() for field in provider["fields"]]
+# Expose only active providers ----------------------------------------------
+ACTIVE_MODEL_PROVIDERS_DICT: dict[str, ModelProvidersDict] = {
+    name: prov for name, prov in MODEL_PROVIDERS_DICT.items() if prov.get("is_active", True)
+}
 
-MODEL_DYNAMIC_UPDATE_FIELDS = ["api_key", "model", "tool_model_enabled", "base_url", "model_name"]
+MODEL_PROVIDERS: list[str] = list(ACTIVE_MODEL_PROVIDERS_DICT.keys())
 
+ALL_PROVIDER_FIELDS: list[str] = [field for prov in ACTIVE_MODEL_PROVIDERS_DICT.values() for field in prov["fields"]]
 
-MODELS_METADATA = {
-    key: {"icon": MODEL_PROVIDERS_DICT[key]["icon"] if key in MODEL_PROVIDERS_DICT else None}
-    for key in MODEL_PROVIDERS_DICT
-}
+MODEL_DYNAMIC_UPDATE_FIELDS = ["api_key", "model", "tool_model_enabled", "base_url", "model_name"]
+
+MODELS_METADATA = {name: {"icon": prov["icon"]} for name, prov in ACTIVE_MODEL_PROVIDERS_DICT.items()}

src/backend/base/langflow/components/agents/agent.py

@@ -5,6 +5,7 @@
 from langflow.base.models.model_input_constants import (
     ALL_PROVIDER_FIELDS,
     MODEL_DYNAMIC_UPDATE_FIELDS,
+    MODEL_PROVIDERS,
     MODEL_PROVIDERS_DICT,
     MODELS_METADATA,
 )
@@ -40,11 +41,11 @@ class AgentComponent(ToolCallingAgentComponent):
             name="agent_llm",
             display_name="Model Provider",
             info="The provider of the language model that the agent will use to generate responses.",
-            options=[*sorted(MODEL_PROVIDERS_DICT.keys()), "Custom"],
+            options=[*sorted(MODEL_PROVIDERS), "Custom"],
             value="OpenAI",
             real_time_refresh=True,
             input_types=[],
-            options_metadata=[MODELS_METADATA[key] for key in sorted(MODELS_METADATA.keys())] + [{"icon": "brain"}],
+            options_metadata=[MODELS_METADATA[key] for key in sorted(MODEL_PROVIDERS)] + [{"icon": "brain"}],
         ),
         *MODEL_PROVIDERS_DICT["OpenAI"]["inputs"],
         MultilineInput(
@@ -221,7 +222,7 @@ async def update_build_config(
                 custom_component = DropdownInput(
                     name="agent_llm",
                     display_name="Language Model",
-                    options=[*sorted(MODEL_PROVIDERS_DICT.keys()), "Custom"],
+                    options=[*sorted(MODEL_PROVIDERS), "Custom"],
                     value="Custom",
                     real_time_refresh=True,
                     input_types=["LanguageModel"],