SDK regeneration

.fern/metadata.json

@@ -14,5 +14,5 @@
     },
     "exclude_types_from_init_exports": true
   },
-  "originGitCommit": "f4b5b1d56fb73c4e26c11486424723c12e6376bc"
+  "originGitCommit": "9afc7ddf3c7c24bf5c80ae7cd4eb83c257d7ceff"
 }

src/agora_agent/types/asr.py

@@ -14,6 +14,7 @@
 from .assembly_ai_asr_params import AssemblyAiAsrParams
 from .deepgram_asr_params import DeepgramAsrParams
 from .fengming_asr_params import FengmingAsrParams
+from .gemini_asr_params import GeminiAsrParams
 from .google_asr_params import GoogleAsrParams
 from .microsoft_asr_params import MicrosoftAsrParams
 from .open_ai_asr_params import OpenAiAsrParams
@@ -133,6 +134,21 @@ class Config:
             extra = pydantic.Extra.allow
 
 
+class Asr_Gemini(UncheckedBaseModel):
+    vendor: typing.Literal["gemini"] = "gemini"
+    language: typing.Optional[AsrLanguage] = None
+    params: GeminiAsrParams
+
+    if IS_PYDANTIC_V2:
+        model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2
+    else:
+
+        class Config:
+            frozen = True
+            smart_union = True
+            extra = pydantic.Extra.allow
+
+
 class Asr_Amazon(UncheckedBaseModel):
     vendor: typing.Literal["amazon"] = "amazon"
     language: typing.Optional[AsrLanguage] = None
@@ -262,6 +278,7 @@ class Config:
         Asr_Deepgram,
         Asr_Openai,
         Asr_Google,
+        Asr_Gemini,
         Asr_Amazon,
         Asr_Assemblyai,
         Asr_Speechmatics,

src/agora_agent/types/gemini_asr.py

@@ -0,0 +1,27 @@
+# This file was auto-generated by Fern from our API Definition.
+
+import typing
+
+import pydantic
+from ..core.pydantic_utilities import IS_PYDANTIC_V2
+from ..core.unchecked_base_model import UncheckedBaseModel
+from .asr_language import AsrLanguage
+from .gemini_asr_params import GeminiAsrParams
+
+
+class GeminiAsr(UncheckedBaseModel):
+    """
+    Google Gemini ASR configuration.
+    """
+
+    language: typing.Optional[AsrLanguage] = None
+    params: GeminiAsrParams
+
+    if IS_PYDANTIC_V2:
+        model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2
+    else:
+
+        class Config:
+            frozen = True
+            smart_union = True
+            extra = pydantic.Extra.allow

src/agora_agent/types/gemini_asr_params.py

@@ -0,0 +1,47 @@
+# This file was auto-generated by Fern from our API Definition.
+
+import typing
+
+import pydantic
+from ..core.pydantic_utilities import IS_PYDANTIC_V2
+from ..core.unchecked_base_model import UncheckedBaseModel
+
+
+class GeminiAsrParams(UncheckedBaseModel):
+    """
+    Google Gemini ASR configuration parameters.
+    """
+
+    api_key: str = pydantic.Field()
+    """
+    Google Gemini API key.
+    """
+
+    model: str = pydantic.Field()
+    """
+    Gemini transcription model identifier.
+    """
+
+    sample_rate: typing.Optional[int] = pydantic.Field(default=None)
+    """
+    Audio sample rate in Hz.
+    """
+
+    language: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Language code for speech recognition.
+    """
+
+    word_timestamp: typing.Optional[bool] = pydantic.Field(default=None)
+    """
+    Whether to include word-level timestamps in transcription results.
+    """
+
+    if IS_PYDANTIC_V2:
+        model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2
+    else:
+
+        class Config:
+            frozen = True
+            smart_union = True
+            extra = pydantic.Extra.allow

src/agora_agent/types/mllm.py

@@ -71,6 +71,11 @@ class Mllm(UncheckedBaseModel):
     Agent greeting message.
     """
 
+    greeting: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Greeting message for the MLLM session.
+    """
+
     failure_message: typing.Optional[str] = pydantic.Field(default=None)
     """
     Agent failure message.

src/agora_agent/types/mllm_vendor.py

@@ -2,4 +2,6 @@
 
 import typing
 
-MllmVendor = typing.Union[typing.Literal["openai", "azure", "gemini", "vertexai", "xai", "qwen_omni"], typing.Any]
+MllmVendor = typing.Union[
+    typing.Literal["openai", "azure", "gemini", "vertexai", "xai", "qwen_omni", "openai_gpt_live"], typing.Any
+]