SDK regeneration

.fern/metadata.json

@@ -13,5 +13,5 @@
     },
     "exclude_types_from_init_exports": true
   },
-  "originGitCommit": "49d478a59be2201df42d81f839acd1ff3fa3aa59"
+  "originGitCommit": "7edea35eef2583c1cb4860d7941275b0cd7ce900"
 }

src/agora_agent/types/gradium_tts.py

@@ -0,0 +1,29 @@
+# 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 .gradium_tts_params import GradiumTtsParams
+
+
+class GradiumTts(UncheckedBaseModel):
+    """
+    Gradium Text-to-Speech configuration.
+    """
+
+    params: GradiumTtsParams
+    skip_patterns: typing.Optional[typing.List[int]] = pydantic.Field(default=None)
+    """
+    Controls whether the TTS module skips bracketed content when reading LLM response text.
+    """
+
+    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/gradium_tts_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 GradiumTtsParams(UncheckedBaseModel):
+    """
+    Gradium TTS configuration parameters.
+    """
+
+    api_key: str = pydantic.Field()
+    """
+    Gradium API key.
+    """
+
+    url: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    WebSocket endpoint for streaming TTS output (for example, "wss://api.gradium.ai/api/speech/tts").
+    """
+
+    model_name: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Gradium TTS model name (for example, "default").
+    """
+
+    voice_id: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Gradium voice identifier.
+    """
+
+    sample_rate: typing.Optional[int] = pydantic.Field(default=None)
+    """
+    Audio sample rate in Hz (for example, 16000).
+    """
+
+    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/mistral_tts.py

@@ -0,0 +1,29 @@
+# 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 .mistral_tts_params import MistralTtsParams
+
+
+class MistralTts(UncheckedBaseModel):
+    """
+    Mistral Text-to-Speech configuration.
+    """
+
+    params: MistralTtsParams
+    skip_patterns: typing.Optional[typing.List[int]] = pydantic.Field(default=None)
+    """
+    Controls whether the TTS module skips bracketed content when reading LLM response text.
+    """
+
+    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/mistral_tts_params.py

@@ -0,0 +1,37 @@
+# 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 MistralTtsParams(UncheckedBaseModel):
+    """
+    Mistral TTS configuration parameters.
+    """
+
+    api_key: str = pydantic.Field()
+    """
+    Mistral API key.
+    """
+
+    model: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Mistral TTS model name (for example, "voxtral-mini-tts-2603").
+    """
+
+    voice: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Mistral voice identifier.
+    """
+
+    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/tts.py

@@ -18,9 +18,11 @@
 from .fish_audio_tts_params import FishAudioTtsParams
 from .generic_http_tts_params import GenericHttpTtsParams
 from .google_tts_params import GoogleTtsParams
+from .gradium_tts_params import GradiumTtsParams
 from .hume_ai_tts_params import HumeAiTtsParams
 from .microsoft_tts_params import MicrosoftTtsParams
 from .minimax_tts_params import MinimaxTtsParams
+from .mistral_tts_params import MistralTtsParams
 from .murf_tts_params import MurfTtsParams
 from .open_ai_tts_params import OpenAiTtsParams
 from .rime_tts_credential_mode import RimeTtsCredentialMode
@@ -334,6 +336,36 @@ class Config:
             extra = pydantic.Extra.allow
 
 
+class Tts_Gradium(UncheckedBaseModel):
+    vendor: typing.Literal["gradium"] = "gradium"
+    params: GradiumTtsParams
+    skip_patterns: typing.Optional[typing.List[int]] = None
+
+    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 Tts_Mistral(UncheckedBaseModel):
+    vendor: typing.Literal["mistral"] = "mistral"
+    params: MistralTtsParams
+    skip_patterns: typing.Optional[typing.List[int]] = None
+
+    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
+
+
 Tts = typing_extensions.Annotated[
     typing.Union[
         Tts_Tencent,
@@ -356,6 +388,8 @@ class Config:
         Tts_Cosyvoice,
         Tts_BytedanceDuplex,
         Tts_Stepfun,
+        Tts_Gradium,
+        Tts_Mistral,
     ],
     UnionMetadata(discriminant="vendor"),
 ]