refactor(forge/llm): Create BaseOpenAIProvider -> deduplicate `Groq…

…Provider` & `OpenAIProvider` implementation (#7178)

- Add `_BaseOpenAIProvider`, `BaseOpenAIChatProvider`, and `BaseOpenAIEmbeddingProvider`, which implement the shared functionality of OpenAI-like providers, e.g. `GroqProvider` and `OpenAIProvider`
- (Re)move as much code as possible from `GroqProvider` and `OpenAIProvider` by rebasing them on `BaseOpenAI(Chat|Embedding)Provider`

Also:
- Rename `get_available_models()` to `get_available_chat_models()` on `BaseChatModelProvider`
- Add `get_available_models()` to `BaseModelProvider`
- Add `get_available_embedding_models()` to `BaseEmbeddingModelProvider`
- Move common `fix_failed_parse_tries` config attribute into base `ModelProviderConfiguration`

autogpt/autogpt/app/configurator.py

@@ -103,7 +103,7 @@ async def check_model(
 ) -> ModelName:
     """Check if model is available for use. If not, return gpt-3.5-turbo."""
     multi_provider = MultiProvider()
-    models = await multi_provider.get_available_models()
+    models = await multi_provider.get_available_chat_models()
 
     if any(model_name == m.name for m in models):
         return model_name

autogpt/tests/unit/test_config.py

@@ -144,7 +144,7 @@ def test_azure_config(config_with_azure: Config) -> None:
 @pytest.mark.asyncio
 async def test_create_config_gpt4only(config: Config) -> None:
     with mock.patch(
-        "forge.llm.providers.multi.MultiProvider.get_available_models"
+        "forge.llm.providers.multi.MultiProvider.get_available_chat_models"
     ) as mock_get_models:
         mock_get_models.return_value = [
             ChatModelInfo(
@@ -164,7 +164,7 @@ async def test_create_config_gpt4only(config: Config) -> None:
 @pytest.mark.asyncio
 async def test_create_config_gpt3only(config: Config) -> None:
     with mock.patch(
-        "forge.llm.providers.multi.MultiProvider.get_available_models"
+        "forge.llm.providers.multi.MultiProvider.get_available_chat_models"
     ) as mock_get_models:
         mock_get_models.return_value = [
             ChatModelInfo(