SDK regeneration

.fern/metadata.json

@@ -13,5 +13,5 @@
     },
     "exclude_types_from_init_exports": true
   },
-  "originGitCommit": "7edea35eef2583c1cb4860d7941275b0cd7ce900"
+  "originGitCommit": "8994613e045586856dab7b5eab43920dce0154c4"
 }

src/agora_agent/core/client_wrapper.py

@@ -26,10 +26,10 @@ def __init__(
 
     def get_headers(self) -> typing.Dict[str, str]:
         headers: typing.Dict[str, str] = {
-            "User-Agent": "agora-agents/v2.5.0",
+            "User-Agent": "agora-agents/v2.6.0",
             "X-Fern-Language": "Python",
             "X-Fern-SDK-Name": "agora-agents",
-            "X-Fern-SDK-Version": "v2.5.0",
+            "X-Fern-SDK-Version": "v2.6.0",
             **(self.get_custom_headers() or {}),
         }
         headers["Authorization"] = httpx.BasicAuth(self._get_username(), self._get_password())._auth_header

src/agora_agent/types/ares_asr_params.py

@@ -2,4 +2,26 @@
 
 import typing
 
-AresAsrParams = typing.Dict[str, typing.Any]
+import pydantic
+from ..core.pydantic_utilities import IS_PYDANTIC_V2
+from ..core.unchecked_base_model import UncheckedBaseModel
+
+
+class AresAsrParams(UncheckedBaseModel):
+    """
+    ARES ASR configuration parameters.
+    """
+
+    keywords: typing.Optional[typing.List[str]] = pydantic.Field(default=None)
+    """
+    A list of hotwords to improve ASR accuracy.
+    """
+
+    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/asr.py

@@ -13,6 +13,7 @@
 from .asr_language import AsrLanguage
 from .assembly_ai_asr_params import AssemblyAiAsrParams
 from .deepgram_asr_params import DeepgramAsrParams
+from .fengming_asr_params import FengmingAsrParams
 from .google_asr_params import GoogleAsrParams
 from .microsoft_asr_params import MicrosoftAsrParams
 from .open_ai_asr_params import OpenAiAsrParams
@@ -43,7 +44,7 @@ class Config:
 class Asr_Fengming(UncheckedBaseModel):
     vendor: typing.Literal["fengming"] = "fengming"
     language: typing.Optional[AsrLanguage] = None
-    params: typing.Optional[typing.Dict[str, typing.Any]] = None
+    params: typing.Optional[FengmingAsrParams] = None
 
     if IS_PYDANTIC_V2:
         model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2

src/agora_agent/types/fengming_asr.py

@@ -6,6 +6,7 @@
 from ..core.pydantic_utilities import IS_PYDANTIC_V2
 from ..core.unchecked_base_model import UncheckedBaseModel
 from .asr_language import AsrLanguage
+from .fengming_asr_params import FengmingAsrParams
 
 
 class FengmingAsr(UncheckedBaseModel):
@@ -14,10 +15,7 @@ class FengmingAsr(UncheckedBaseModel):
     """
 
     language: typing.Optional[AsrLanguage] = None
-    params: typing.Optional[typing.Dict[str, typing.Any]] = pydantic.Field(default=None)
-    """
-    Agora Fengming ASR configuration parameters.
-    """
+    params: typing.Optional[FengmingAsrParams] = None
 
     if IS_PYDANTIC_V2:
         model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2

src/agora_agent/types/fengming_asr_params.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
+
+
+class FengmingAsrParams(UncheckedBaseModel):
+    """
+    Agora Fengming ASR configuration parameters.
+    """
+
+    keywords: typing.Optional[typing.List[str]] = pydantic.Field(default=None)
+    """
+    A list of hotwords to improve ASR accuracy.
+    """
+
+    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

@@ -51,6 +51,11 @@ class Mllm(UncheckedBaseModel):
     """
 
     params: typing.Optional[MllmParams] = None
+    max_history: typing.Optional[int] = pydantic.Field(default=None)
+    """
+    The number of conversation history messages cached in the MLLM. Applicable to Azure OpenAI Realtime API only.
+    """
+
     input_modalities: typing.Optional[typing.List[str]] = pydantic.Field(default=None)
     """
     MLLM input modalities.

src/agora_agent/types/mllm_vendor.py

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

src/agora_agent/types/tts.py

@@ -30,6 +30,7 @@
 from .sarvam_tts_params import SarvamTtsParams
 from .stepfun_tts_params import StepfunTtsParams
 from .tencent_tts_params import TencentTtsParams
+from .typecast_tts_params import TypecastTtsParams
 from .x_ai_tts_params import XAiTtsParams
 
 
@@ -366,6 +367,21 @@ class Config:
             extra = pydantic.Extra.allow
 
 
+class Tts_Typecast(UncheckedBaseModel):
+    vendor: typing.Literal["typecast"] = "typecast"
+    params: TypecastTtsParams
+    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,
@@ -390,6 +406,7 @@ class Config:
         Tts_Stepfun,
         Tts_Gradium,
         Tts_Mistral,
+        Tts_Typecast,
     ],
     UnionMetadata(discriminant="vendor"),
 ]

src/agora_agent/types/typecast_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 .typecast_tts_params import TypecastTtsParams
+
+
+class TypecastTts(UncheckedBaseModel):
+    """
+    Typecast Text-to-Speech configuration.
+    """
+
+    params: TypecastTtsParams
+    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/typecast_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 TypecastTtsParams(UncheckedBaseModel):
+    """
+    Typecast TTS configuration parameters.
+    """
+
+    api_key: str = pydantic.Field()
+    """
+    Typecast API key.
+    """
+
+    voice_id: str = pydantic.Field()
+    """
+    Typecast voice identifier (for example, "tc_60e5426de8b95f1d3000d7b5").
+    """
+
+    model: str = pydantic.Field()
+    """
+    Typecast TTS model name (for example, "ssfm-v30").
+    """
+
+    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