fix(agent): Unbreak LLM status check on start-up

Fixes #7508

- Amend `app/configurator.py:check_model(..)` to check multiple models at once and save duplicate API calls
- Amend `MultiProvider.get_available_providers()` to verify availability by fetching models and handle failure

autogpt/autogpt/app/configurator.py

@@ -51,8 +51,9 @@ async def apply_overrides_to_config(
         raise click.UsageError("--continuous-limit can only be used with --continuous")
 
     # Check availability of configured LLMs; fallback to other LLM if unavailable
-    config.fast_llm = await check_model(config.fast_llm, "fast_llm")
-    config.smart_llm = await check_model(config.smart_llm, "smart_llm")
+    config.fast_llm, config.smart_llm = await check_models(
+        (config.fast_llm, "fast_llm"), (config.smart_llm, "smart_llm")
+    )
 
     if skip_reprompt:
         config.skip_reprompt = True
@@ -61,17 +62,22 @@ async def apply_overrides_to_config(
         config.skip_news = True
 
 
-async def check_model(
-    model_name: ModelName, model_type: Literal["smart_llm", "fast_llm"]
-) -> ModelName:
+async def check_models(
+    *models: tuple[ModelName, Literal["smart_llm", "fast_llm"]]
+) -> tuple[ModelName, ...]:
     """Check if model is available for use. If not, return gpt-3.5-turbo."""
     multi_provider = MultiProvider()
-    models = await multi_provider.get_available_chat_models()
-
-    if any(model_name == m.name for m in models):
-        return model_name
-
-    logger.warning(
-        f"You don't have access to {model_name}. Setting {model_type} to {GPT_3_MODEL}."
-    )
-    return GPT_3_MODEL
+    available_models = await multi_provider.get_available_chat_models()
+
+    checked_models: list[ModelName] = []
+    for model, model_type in models:
+        if any(model == m.name for m in available_models):
+            checked_models.append(model)
+        else:
+            logger.warning(
+                f"You don't have access to {model}. "
+                f"Setting {model_type} to {GPT_3_MODEL}."
+            )
+            checked_models.append(GPT_3_MODEL)
+
+    return tuple(checked_models)

forge/forge/llm/providers/multi.py

@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 import logging
-from typing import Any, Callable, Iterator, Optional, Sequence, TypeVar, get_args
+from typing import Any, AsyncIterator, Callable, Optional, Sequence, TypeVar, get_args
 
 from pydantic import ValidationError
 
@@ -68,7 +68,7 @@ async def get_available_models(self) -> Sequence[ChatModelInfo[ModelName]]:
 
     async def get_available_chat_models(self) -> Sequence[ChatModelInfo[ModelName]]:
         models = []
-        for provider in self.get_available_providers():
+        async for provider in self.get_available_providers():
             models.extend(await provider.get_available_chat_models())
         return models
 
@@ -120,14 +120,18 @@ def get_model_provider(self, model: ModelName) -> ChatModelProvider:
         model_info = CHAT_MODELS[model]
         return self._get_provider(model_info.provider_name)
 
-    def get_available_providers(self) -> Iterator[ChatModelProvider]:
+    async def get_available_providers(self) -> AsyncIterator[ChatModelProvider]:
         for provider_name in ModelProviderName:
-            self._logger.debug(f"Checking if {provider_name} is available...")
+            self._logger.debug(f"Checking if provider {provider_name} is available...")
             try:
-                yield self._get_provider(provider_name)
-                self._logger.debug(f"{provider_name} is available!")
+                provider = self._get_provider(provider_name)
+                await provider.get_available_models()  # check connection
+                yield provider
+                self._logger.debug(f"Provider '{provider_name}' is available!")
             except ValueError:
                 pass
+            except Exception as e:
+                self._logger.debug(f"Provider '{provider_name}' is failing: {e}")
 
     def _get_provider(self, provider_name: ModelProviderName) -> ChatModelProvider:
         _provider = self._provider_instances.get(provider_name)