fix(agentkit): resolve provider config type checks

Author: digitallysavvy

src/agora_agent/agentkit/agent.py

@@ -246,7 +246,41 @@ class SessionOptions(typing_extensions.TypedDict, total=False):
 ]
 
 DEFAULT_INTERACTION_LANGUAGE: InteractionLanguage = "en-US"
-_INTERACTION_LANGUAGES = set(InteractionLanguage.__args__)
+INTERACTION_LANGUAGE_VALUES: typing.Tuple[InteractionLanguage, ...] = (
+    "ar-EG",
+    "ar-JO",
+    "ar-SA",
+    "ar-AE",
+    "bn-IN",
+    "zh-CN",
+    "zh-HK",
+    "zh-TW",
+    "nl-NL",
+    "en-IN",
+    "en-US",
+    "fil-PH",
+    "fr-FR",
+    "de-DE",
+    "gu-IN",
+    "he-IL",
+    "hi-IN",
+    "id-ID",
+    "it-IT",
+    "ja-JP",
+    "kn-IN",
+    "ko-KR",
+    "ms-MY",
+    "fa-IR",
+    "pt-PT",
+    "ru-RU",
+    "es-ES",
+    "ta-IN",
+    "te-IN",
+    "th-TH",
+    "tr-TR",
+    "vi-VN",
+)
+_INTERACTION_LANGUAGES = set(INTERACTION_LANGUAGE_VALUES)
 
 
 def _dump_optional_model(value: typing.Any) -> typing.Any:

src/agora_agent/agentkit/vendors/llm.py

@@ -1,4 +1,4 @@
-from typing import Any, Dict, List, Optional, Union
+from typing import Any, Dict, List, Optional
 
 from pydantic import BaseModel, ConfigDict, Field, model_validator
 
@@ -384,17 +384,29 @@ def to_config(self) -> Dict[str, Any]:
         return config
 
 
-class AmazonBedrockOptions(AnthropicOptions):
+class AmazonBedrockOptions(BaseModel):
     model_config = ConfigDict(extra="forbid")
 
     access_key: str = Field(..., description="AWS access key ID")
     secret_key: str = Field(..., description="AWS secret access key")
     region: str = Field(..., description="AWS region")
     model: str = Field(..., description="Amazon Bedrock model identifier")
     max_tokens: Optional[int] = Field(default=None, gt=0)
-    api_key: Optional[str] = Field(default=None, description="Unused; kept for AnthropicOptions compatibility")
-    url: Optional[str] = Field(default=None, description="Unused; kept for AnthropicOptions compatibility")
+    url: Optional[str] = Field(default=None, description="Amazon Bedrock converse stream endpoint URL")
+    temperature: Optional[float] = Field(default=None, ge=0.0, le=1.0)
+    top_p: Optional[float] = Field(default=None, ge=0.0, le=1.0)
+    system_messages: Optional[List[Dict[str, Any]]] = Field(default=None)
+    greeting_message: Optional[str] = Field(default=None)
+    failure_message: Optional[str] = Field(default=None)
+    input_modalities: Optional[List[str]] = Field(default=None)
+    params: Optional[Dict[str, Any]] = Field(default=None)
     headers: Optional[Dict[str, str]] = Field(default=None)
+    output_modalities: Optional[List[str]] = Field(default=None)
+    greeting_configs: Optional[LlmGreetingConfigs] = Field(default=None)
+    template_variables: Optional[Dict[str, str]] = Field(default=None)
+    vendor: Optional[str] = Field(default=None)
+    mcp_servers: Optional[List[Dict[str, Any]]] = Field(default=None)
+    max_history: Optional[int] = Field(default=None, gt=0, description="Maximum number of conversation history messages to cache")
 
 
 class AmazonBedrock(BaseLLM):

src/agora_agent/agentkit/vendors/mllm.py

@@ -44,7 +44,7 @@ def to_config(self) -> Dict[str, Any]:
             or self.options.instructions is not None
             or self.options.input_audio_transcription is not None
         ):
-            params = {}
+            params: Dict[str, Any] = {}
             if self.options.model is not None:
                 params["model"] = self.options.model
             if self.options.params is not None:

src/agora_agent/agentkit/vendors/stt.py

@@ -1,4 +1,4 @@
-from typing import Any, Dict, Optional
+from typing import Any, Dict, Optional, Tuple
 
 from pydantic import BaseModel, ConfigDict, Field, model_validator
 from typing_extensions import Literal
@@ -40,7 +40,41 @@
     "vi-VN",
 ]
 
-_INTERACTION_LANGUAGES = set(InteractionLanguage.__args__)
+INTERACTION_LANGUAGE_VALUES: Tuple[InteractionLanguage, ...] = (
+    "ar-EG",
+    "ar-JO",
+    "ar-SA",
+    "ar-AE",
+    "bn-IN",
+    "zh-CN",
+    "zh-HK",
+    "zh-TW",
+    "nl-NL",
+    "en-IN",
+    "en-US",
+    "fil-PH",
+    "fr-FR",
+    "de-DE",
+    "gu-IN",
+    "he-IL",
+    "hi-IN",
+    "id-ID",
+    "it-IT",
+    "ja-JP",
+    "kn-IN",
+    "ko-KR",
+    "ms-MY",
+    "fa-IR",
+    "pt-PT",
+    "ru-RU",
+    "es-ES",
+    "ta-IN",
+    "te-IN",
+    "th-TH",
+    "tr-TR",
+    "vi-VN",
+)
+_INTERACTION_LANGUAGES = set(INTERACTION_LANGUAGE_VALUES)
 _DEEPGRAM_MANAGED_MODELS = {"nova-2", "nova-3"}