diff --git a/.fern/metadata.json b/.fern/metadata.json
index f4f7a0d..47aba32 100644
--- a/.fern/metadata.json
+++ b/.fern/metadata.json
@@ -14,5 +14,5 @@
     },
     "exclude_types_from_init_exports": true
   },
-  "originGitCommit": "3fdb45ab45802742325afca544fdc22f5ae58db8"
+  "originGitCommit": "be0f6236d6bd8286609708d3af6dc8207e569abd"
 }
\ No newline at end of file
diff --git a/.fern/replay.lock b/.fern/replay.lock
index a1ce605..bc2e24a 100644
--- a/.fern/replay.lock
+++ b/.fern/replay.lock
@@ -66,14 +66,20 @@ generations:
     cli_version: unknown
     generator_versions:
       fernapi/fern-python-sdk: 4.37.0
-current_generation: 3885ea61224cbf0671c305350b8d1cddef509443
+  - commit_sha: 367c12a48ca01b6bc946f71e8036ef0cba654d52
+    tree_hash: 281e474172a76a811bb54e640d9991ee4fe6f878
+    timestamp: 2026-09-14T09:04:07.441Z
+    cli_version: unknown
+    generator_versions:
+      fernapi/fern-python-sdk: 4.37.0
+current_generation: 367c12a48ca01b6bc946f71e8036ef0cba654d52
 patches:
   - id: patch-13d8e068
     content_hash: sha256:97d879ab169016b9abaf1866427a8ebc45af608f69e063a07e5126c9613c329b
     original_commit: 13d8e0683ffa08bcfc9a381eb9604adf5abdbe0b
     original_message: "chore: ignore local venv and planning docs"
     original_author: plutoless <qianze.zhang@hotmail.com>
-    base_generation: 3885ea61224cbf0671c305350b8d1cddef509443
+    base_generation: 367c12a48ca01b6bc946f71e8036ef0cba654d52
     files:
       - .gitignore
     patch_content: |
@@ -102,7 +108,7 @@ patches:
     original_commit: a065088b4c45e2ca7e1bb91b1a899b8444800121
     original_message: "fix(vendors): send Speechmatics STT key instead of api_key"
     original_author: digitallysavvy <hermes.frangoudis@gmail.com>
-    base_generation: 3885ea61224cbf0671c305350b8d1cddef509443
+    base_generation: 367c12a48ca01b6bc946f71e8036ef0cba654d52
     files:
       - src/agora_agent/types/speechmatics_asr_params.py
     patch_content: |
@@ -240,3 +246,69 @@ patches:
                     smart_union = True
                     extra = pydantic.Extra.allow
     user_owned: true
+  - id: patch-33a436b3
+    content_hash: sha256:04db41b4eefe647eab420cbfbf8b86e78a2f42fb3c72122e535b149b89bc3459
+    original_commit: 33a436b3bdb6f2a6fe4d8987b6536c2f0ac2862e
+    original_message: "fix: address v2.8.0 release review findings"
+    original_author: digitallysavvy <hermes.frangoudis@gmail.com>
+    base_generation: 367c12a48ca01b6bc946f71e8036ef0cba654d52
+    files:
+      - src/agora_agent/agents/types/start_agents_request_properties_advanced_features.py
+    patch_content: |
+      diff --git a/src/agora_agent/agents/types/start_agents_request_properties_advanced_features.py b/src/agora_agent/agents/types/start_agents_request_properties_advanced_features.py
+      index e75f098..667e20e 100644
+      --- a/src/agora_agent/agents/types/start_agents_request_properties_advanced_features.py
+      +++ b/src/agora_agent/agents/types/start_agents_request_properties_advanced_features.py
+      @@ -29,7 +29,7 @@ class StartAgentsRequestPropertiesAdvancedFeatures(UncheckedBaseModel):
+       
+           enable_tools: typing.Optional[bool] = pydantic.Field(default=None)
+           """
+      -    Enable tool invocation. When enabled, the agent can invoke tools provided by the MCP server to implement advanced functionality.
+      +    Enable invocation for MCP servers and inline REST tools.
+           """
+       
+           if IS_PYDANTIC_V2:
+    theirs_snapshot:
+      src/agora_agent/agents/types/start_agents_request_properties_advanced_features.py: |
+        # 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 StartAgentsRequestPropertiesAdvancedFeatures(UncheckedBaseModel):
+            """
+            Advanced features configuration.
+            """
+
+            enable_mllm: typing.Optional[bool] = pydantic.Field(default=None)
+            """
+            Use `mllm.enable` instead. Enable Multimodal Large Language Model for voice-to-voice processing. Enabling MLLM automatically disables ASR, LLM, and TTS since the MLLM handles end-to-end voice processing directly. See `turn_detection.type` for turn detection options available with MLLM.
+            """
+
+            enable_rtm: typing.Optional[bool] = pydantic.Field(default=None)
+            """
+            Whether to enable the Signaling (RTM) service. When enabled, the agent can combine the capabilities provided by Signaling to implement advanced functions, such as delivering custom information. Before enabling the Signaling service, make sure the token includes both RTC and RTM privileges.
+            """
+
+            enable_sal: typing.Optional[bool] = pydantic.Field(default=None)
+            """
+            Enable Selective Attention Locking (SAL). When enabled, configure the `sal` field to set up speaker recognition or locking modes.
+            """
+
+            enable_tools: typing.Optional[bool] = pydantic.Field(default=None)
+            """
+            Enable invocation for MCP servers and inline REST tools.
+            """
+
+            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
diff --git a/src/agora_agent/agents/types/start_agents_request_properties_filler_words_content.py b/src/agora_agent/agents/types/start_agents_request_properties_filler_words_content.py
index 5e13764..10f0454 100644
--- a/src/agora_agent/agents/types/start_agents_request_properties_filler_words_content.py
+++ b/src/agora_agent/agents/types/start_agents_request_properties_filler_words_content.py
@@ -25,7 +25,7 @@ class StartAgentsRequestPropertiesFillerWordsContent(UncheckedBaseModel):
     """
     Filler word content mode:
     - `static`: Static filler words. Uses a predefined list of filler words.
-    - `generated`: LLM-generated filler words based on the last user message.
+    - `generated`: LLM-generated filler words based on recent conversation context.
     """
 
     static_config: typing.Optional[StartAgentsRequestPropertiesFillerWordsContentStaticConfig] = pydantic.Field(
diff --git a/src/agora_agent/agents/types/start_agents_request_properties_filler_words_content_generated_config.py b/src/agora_agent/agents/types/start_agents_request_properties_filler_words_content_generated_config.py
index b51ac8e..4bb3735 100644
--- a/src/agora_agent/agents/types/start_agents_request_properties_filler_words_content_generated_config.py
+++ b/src/agora_agent/agents/types/start_agents_request_properties_filler_words_content_generated_config.py
@@ -19,12 +19,12 @@ class StartAgentsRequestPropertiesFillerWordsContentGeneratedConfig(UncheckedBas
         pydantic.Field(default=None)
     )
     """
-    OpenAI-compatible LLM provider used to generate filler words. Runs in parallel with the main business LLM and only uses the last user message as input.
+    OpenAI-compatible LLM provider used to generate filler words. Runs in parallel with the main business LLM.
     """
 
     prompt: typing.Optional[str] = pydantic.Field(default=None)
     """
-    System prompt used to generate a short filler phrase based on the last user message. The generated text should be conversational and must not answer the user's question.
+    System prompt used to generate a short filler phrase based on recent conversation context. The generated text should be conversational and must not answer the user's question.
     """
 
     fallback_strategy: typing.Optional[typing.Literal["static"]] = pydantic.Field(default=None)
@@ -32,6 +32,16 @@ class StartAgentsRequestPropertiesFillerWordsContentGeneratedConfig(UncheckedBas
     Fallback strategy when generated filler text is not ready, fails, or returns empty text. Phase 1 only supports `static`.
     """
 
+    context_message_limit: typing.Optional[int] = pydantic.Field(default=None)
+    """
+    Maximum number of recent conversation messages used to generate a filler word.
+    """
+
+    history_character_limit: typing.Optional[int] = pydantic.Field(default=None)
+    """
+    Maximum number of characters from conversation history used to generate a filler word.
+    """
+
     if IS_PYDANTIC_V2:
         model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2
     else:
diff --git a/src/agora_agent/agents/types/start_agents_request_properties_filler_words_content_generated_config_llm_provider.py b/src/agora_agent/agents/types/start_agents_request_properties_filler_words_content_generated_config_llm_provider.py
index 34d3391..55c434c 100644
--- a/src/agora_agent/agents/types/start_agents_request_properties_filler_words_content_generated_config_llm_provider.py
+++ b/src/agora_agent/agents/types/start_agents_request_properties_filler_words_content_generated_config_llm_provider.py
@@ -9,7 +9,7 @@
 
 class StartAgentsRequestPropertiesFillerWordsContentGeneratedConfigLlmProvider(UncheckedBaseModel):
     """
-    OpenAI-compatible LLM provider used to generate filler words. Runs in parallel with the main business LLM and only uses the last user message as input.
+    OpenAI-compatible LLM provider used to generate filler words. Runs in parallel with the main business LLM.
     """
 
     url: str = pydantic.Field()
diff --git a/src/agora_agent/core/client_wrapper.py b/src/agora_agent/core/client_wrapper.py
index 42c776b..728eb53 100644
--- a/src/agora_agent/core/client_wrapper.py
+++ b/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/v2.8.1",
+            "User-Agent": "agora-agents/v2.9.0",
             "X-Fern-Language": "Python",
             "X-Fern-SDK-Name": "agora-agents",
-            "X-Fern-SDK-Version": "v2.8.1",
+            "X-Fern-SDK-Version": "v2.9.0",
             **(self.get_custom_headers() or {}),
         }
         headers["Authorization"] = httpx.BasicAuth(self._get_username(), self._get_password())._auth_header
diff --git a/src/agora_agent/types/asr.py b/src/agora_agent/types/asr.py
index 2f62cc6..838ea54 100644
--- a/src/agora_agent/types/asr.py
+++ b/src/agora_agent/types/asr.py
@@ -19,6 +19,7 @@
 from .microsoft_asr_params import MicrosoftAsrParams
 from .open_ai_asr_params import OpenAiAsrParams
 from .sarvam_asr_params import SarvamAsrParams
+from .smallest_ai_asr_params import SmallestAiAsrParams
 from .speechmatics_asr_params import SpeechmaticsAsrParams
 from .tencent_asr_params import TencentAsrParams
 from .x_ai_asr_params import XAiAsrParams
@@ -269,6 +270,21 @@ class Config:
             extra = pydantic.Extra.allow
 
 
+class Asr_Smallestai(UncheckedBaseModel):
+    vendor: typing.Literal["smallestai"] = "smallestai"
+    language: typing.Optional[str] = None
+    params: SmallestAiAsrParams
+
+    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
+
+
 Asr = typing_extensions.Annotated[
     typing.Union[
         Asr_Ares,
@@ -287,6 +303,7 @@ class Config:
         Asr_Xfyun,
         Asr_XfyunBigmodel,
         Asr_XfyunDialect,
+        Asr_Smallestai,
     ],
     UnionMetadata(discriminant="vendor"),
 ]
diff --git a/src/agora_agent/types/llm.py b/src/agora_agent/types/llm.py
index 8101636..ec0e27d 100644
--- a/src/agora_agent/types/llm.py
+++ b/src/agora_agent/types/llm.py
@@ -8,7 +8,8 @@
 from .llm_greeting_configs import LlmGreetingConfigs
 from .llm_params import LlmParams
 from .llm_style import LlmStyle
-from .llm_tool import LlmTool
+from .mcp_server import McpServer
+from .rest_tool import RestTool
 
 
 class Llm(UncheckedBaseModel):
@@ -107,12 +108,12 @@ class Llm(UncheckedBaseModel):
     Template parameter configuration.
     """
 
-    mcp_servers: typing.Optional[typing.List[typing.Dict[str, typing.Any]]] = pydantic.Field(default=None)
+    mcp_servers: typing.Optional[typing.List[McpServer]] = pydantic.Field(default=None)
     """
     MCP server configuration.
     """
 
-    tools: typing.Optional[typing.List[LlmTool]] = pydantic.Field(default=None)
+    tools: typing.Optional[typing.List[RestTool]] = pydantic.Field(default=None)
     """
     Inline REST (pass-through sync) tool definitions for standard text LLM function calling.
     Required fields per tool: `type`, `function.name`, `function.parameters`
diff --git a/src/agora_agent/types/mcp_server.py b/src/agora_agent/types/mcp_server.py
new file mode 100644
index 0000000..c5920e5
--- /dev/null
+++ b/src/agora_agent/types/mcp_server.py
@@ -0,0 +1,54 @@
+# 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 McpServer(UncheckedBaseModel):
+    name: str = pydantic.Field()
+    """
+    A unique identifier for the MCP server. Maximum 48 characters. Accepts only English letters and numbers.
+    """
+
+    endpoint: str = pydantic.Field()
+    """
+    The endpoint address of the MCP server. The agent uses this to communicate with the MCP server.
+    """
+
+    transport: typing.Optional[typing.Literal["streamable_http"]] = pydantic.Field(default=None)
+    """
+    Transport protocol type.
+    - `streamable_http`: Streaming HTTP protocol
+    """
+
+    headers: typing.Optional[typing.Dict[str, str]] = pydantic.Field(default=None)
+    """
+    HTTP header information to include when requesting the MCP server, such as authentication information.
+    """
+
+    allowed_tools: typing.Optional[typing.List[str]] = pydantic.Field(default=None)
+    """
+    A list of tools that the agent is allowed to invoke. The agent can only use tools on this list.
+    - Empty or omitted: All tools are enabled.
+    - Empty array `[]`: No tools are enabled.
+    - `["*"]`: All tools are enabled.
+    - Specific tools `["aa", "bb"]`: Only listed tools are enabled.
+    - Mix with wildcard `["aa", "*"]`: All tools are enabled (wildcard takes precedence).
+    """
+
+    timeout_ms: typing.Optional[int] = pydantic.Field(default=None)
+    """
+    The MCP server request timeout in milliseconds. After timeout, the agent stops waiting for the MCP server's response and continues executing subsequent logic.
+    """
+
+    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
diff --git a/src/agora_agent/types/mllm.py b/src/agora_agent/types/mllm.py
index acc7171..f2c8ede 100644
--- a/src/agora_agent/types/mllm.py
+++ b/src/agora_agent/types/mllm.py
@@ -5,9 +5,11 @@
 import pydantic
 from ..core.pydantic_utilities import IS_PYDANTIC_V2
 from ..core.unchecked_base_model import UncheckedBaseModel
+from .mcp_server import McpServer
 from .mllm_params import MllmParams
 from .mllm_turn_detection import MllmTurnDetection
 from .mllm_vendor import MllmVendor
+from .rest_tool import RestTool
 
 
 class Mllm(UncheckedBaseModel):
@@ -76,6 +78,24 @@ class Mllm(UncheckedBaseModel):
     Agent failure message.
     """
 
+    tools: typing.Optional[typing.List[RestTool]] = pydantic.Field(default=None)
+    """
+    Inline REST (pass-through sync) tool definitions for standard text LLM function calling.
+    Required fields per tool: `type`, `function.name`, `function.parameters`
+    (`type: object` with `properties`), `server.method` (`GET` or `POST`), and `server.url`.
+    The combination of `type: function` and `server` identifies a REST tool.
+    Phase 1a supports GET and POST only; `execution.mode` defaults to and only accepts `sync`.
+    Template rules:
+    - Values must be a constant, or exactly one single-level placeholder.
+    - `{{args.<name>}}`: `server.url` and `server.body` only; not allowed in headers.
+    - `{{template_variables.<name>}}` and `{{tool_call_id}}`: `server.url`, `server.headers`, and `server.body`.
+    """
+
+    mcp_servers: typing.Optional[typing.List[McpServer]] = pydantic.Field(default=None)
+    """
+    MCP server configuration.
+    """
+
     vendor: typing.Optional[MllmVendor] = pydantic.Field(default=None)
     """
     MLLM provider.
diff --git a/src/agora_agent/types/llm_tool.py b/src/agora_agent/types/rest_tool.py
similarity index 51%
rename from src/agora_agent/types/llm_tool.py
rename to src/agora_agent/types/rest_tool.py
index 2ab8e40..de45733 100644
--- a/src/agora_agent/types/llm_tool.py
+++ b/src/agora_agent/types/rest_tool.py
@@ -5,12 +5,12 @@
 import pydantic
 from ..core.pydantic_utilities import IS_PYDANTIC_V2
 from ..core.unchecked_base_model import UncheckedBaseModel
-from .llm_tool_execution import LlmToolExecution
-from .llm_tool_function import LlmToolFunction
-from .llm_tool_server import LlmToolServer
+from .rest_tool_execution import RestToolExecution
+from .rest_tool_function import RestToolFunction
+from .rest_tool_server import RestToolServer
 
 
-class LlmTool(UncheckedBaseModel):
+class RestTool(UncheckedBaseModel):
     """
     Inline REST tool definition. `type: function` combined with `server` declares a REST tool.
     Phase 1a executes the HTTP request synchronously and returns the raw result to the model context.
@@ -21,9 +21,22 @@ class LlmTool(UncheckedBaseModel):
     Tool type. Must be `function`.
     """
 
-    function: LlmToolFunction
-    execution: typing.Optional[LlmToolExecution] = None
-    server: LlmToolServer
+    function: RestToolFunction = pydantic.Field()
+    """
+    Tool interface exposed to the model. `parameters` is the JSON Schema for LLM arguments, not the HTTP request shape.
+    """
+
+    execution: typing.Optional[RestToolExecution] = pydantic.Field(default=None)
+    """
+    Tool execution configuration. Defaults to `{"mode": "sync"}`. Phase 1a only allows `sync`.
+    """
+
+    server: RestToolServer = pydantic.Field()
+    """
+    Actual HTTP request configuration for this REST tool.
+    Does not use top-level `parameters`, `path_params`, standalone `query`,
+    `response`, `json_path`, or `max_chars`.
+    """
 
     if IS_PYDANTIC_V2:
         model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2
diff --git a/src/agora_agent/types/llm_tool_execution.py b/src/agora_agent/types/rest_tool_execution.py
similarity index 94%
rename from src/agora_agent/types/llm_tool_execution.py
rename to src/agora_agent/types/rest_tool_execution.py
index ee8d578..f90dc1c 100644
--- a/src/agora_agent/types/llm_tool_execution.py
+++ b/src/agora_agent/types/rest_tool_execution.py
@@ -7,7 +7,7 @@
 from ..core.unchecked_base_model import UncheckedBaseModel
 
 
-class LlmToolExecution(UncheckedBaseModel):
+class RestToolExecution(UncheckedBaseModel):
     """
     Tool execution configuration. Defaults to `{"mode": "sync"}`. Phase 1a only allows `sync`.
     """
diff --git a/src/agora_agent/types/llm_tool_function.py b/src/agora_agent/types/rest_tool_function.py
similarity index 85%
rename from src/agora_agent/types/llm_tool_function.py
rename to src/agora_agent/types/rest_tool_function.py
index f574764..119189b 100644
--- a/src/agora_agent/types/llm_tool_function.py
+++ b/src/agora_agent/types/rest_tool_function.py
@@ -5,10 +5,10 @@
 import pydantic
 from ..core.pydantic_utilities import IS_PYDANTIC_V2
 from ..core.unchecked_base_model import UncheckedBaseModel
-from .llm_tool_function_parameters import LlmToolFunctionParameters
+from .rest_tool_function_parameters import RestToolFunctionParameters
 
 
-class LlmToolFunction(UncheckedBaseModel):
+class RestToolFunction(UncheckedBaseModel):
     """
     Tool interface exposed to the model. `parameters` defines LLM arguments, not the HTTP request shape.
     """
@@ -23,7 +23,7 @@ class LlmToolFunction(UncheckedBaseModel):
     Function description visible to the model.
     """
 
-    parameters: LlmToolFunctionParameters = pydantic.Field()
+    parameters: RestToolFunctionParameters = pydantic.Field()
     """
     JSON Schema defining the LLM tool-call arguments (`args`). Must be an object schema with `type: object` and `properties`.
     """
diff --git a/src/agora_agent/types/llm_tool_function_parameters.py b/src/agora_agent/types/rest_tool_function_parameters.py
similarity index 95%
rename from src/agora_agent/types/llm_tool_function_parameters.py
rename to src/agora_agent/types/rest_tool_function_parameters.py
index 21d9897..e2c8e50 100644
--- a/src/agora_agent/types/llm_tool_function_parameters.py
+++ b/src/agora_agent/types/rest_tool_function_parameters.py
@@ -7,7 +7,7 @@
 from ..core.unchecked_base_model import UncheckedBaseModel
 
 
-class LlmToolFunctionParameters(UncheckedBaseModel):
+class RestToolFunctionParameters(UncheckedBaseModel):
     """
     JSON Schema defining the LLM tool-call arguments (`args`). Must be an object schema with `type: object` and `properties`.
     """
diff --git a/src/agora_agent/types/llm_tool_server.py b/src/agora_agent/types/rest_tool_server.py
similarity index 92%
rename from src/agora_agent/types/llm_tool_server.py
rename to src/agora_agent/types/rest_tool_server.py
index 5120304..523e0f9 100644
--- a/src/agora_agent/types/llm_tool_server.py
+++ b/src/agora_agent/types/rest_tool_server.py
@@ -5,17 +5,17 @@
 import pydantic
 from ..core.pydantic_utilities import IS_PYDANTIC_V2
 from ..core.unchecked_base_model import UncheckedBaseModel
-from .llm_tool_server_method import LlmToolServerMethod
+from .rest_tool_server_method import RestToolServerMethod
 
 
-class LlmToolServer(UncheckedBaseModel):
+class RestToolServer(UncheckedBaseModel):
     """
     Actual HTTP request configuration for this REST tool.
     Does not use top-level `parameters`, `path_params`, standalone `query`,
     `response`, `json_path`, or `max_chars`.
     """
 
-    method: LlmToolServerMethod = pydantic.Field()
+    method: RestToolServerMethod = pydantic.Field()
     """
     HTTP method. Must be `GET` or `POST`.
     """
diff --git a/src/agora_agent/types/llm_tool_server_method.py b/src/agora_agent/types/rest_tool_server_method.py
similarity index 50%
rename from src/agora_agent/types/llm_tool_server_method.py
rename to src/agora_agent/types/rest_tool_server_method.py
index 9c9450e..f23c9cf 100644
--- a/src/agora_agent/types/llm_tool_server_method.py
+++ b/src/agora_agent/types/rest_tool_server_method.py
@@ -2,4 +2,4 @@
 
 import typing
 
-LlmToolServerMethod = typing.Union[typing.Literal["GET", "POST"], typing.Any]
+RestToolServerMethod = typing.Union[typing.Literal["GET", "POST"], typing.Any]
diff --git a/src/agora_agent/types/smallest_ai_asr.py b/src/agora_agent/types/smallest_ai_asr.py
new file mode 100644
index 0000000..e38f417
--- /dev/null
+++ b/src/agora_agent/types/smallest_ai_asr.py
@@ -0,0 +1,30 @@
+# 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 .smallest_ai_asr_params import SmallestAiAsrParams
+
+
+class SmallestAiAsr(UncheckedBaseModel):
+    """
+    Smallest AI ASR configuration.
+    """
+
+    language: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Language code for speech recognition.
+    """
+
+    params: SmallestAiAsrParams
+
+    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
diff --git a/src/agora_agent/types/smallest_ai_asr_params.py b/src/agora_agent/types/smallest_ai_asr_params.py
new file mode 100644
index 0000000..c442533
--- /dev/null
+++ b/src/agora_agent/types/smallest_ai_asr_params.py
@@ -0,0 +1,127 @@
+# 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 SmallestAiAsrParams(UncheckedBaseModel):
+    """
+    Smallest AI ASR configuration parameters.
+    """
+
+    language: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Language code for speech recognition. This takes precedence over the top-level `asr.language` value.
+    """
+
+    url: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    WebSocket endpoint for the Smallest AI streaming STT API.
+    """
+
+    api_key: str = pydantic.Field()
+    """
+    Smallest AI API key.
+    """
+
+    sample_rate: typing.Optional[int] = pydantic.Field(default=None)
+    """
+    Input audio sample rate in Hz.
+    """
+
+    encoding: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Input audio encoding.
+    """
+
+    word_timestamps: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Whether to include word-level timestamps.
+    """
+
+    sentence_timestamps: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Whether to include sentence-level timestamps.
+    """
+
+    diarize: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Whether to enable speaker diarization.
+    """
+
+    vad_events: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Whether to return voice activity detection events.
+    """
+
+    endpointing: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Whether to enable endpoint detection.
+    """
+
+    eou_timeout_ms: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    End-of-utterance timeout in milliseconds.
+    """
+
+    format: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Whether to format the transcript.
+    """
+
+    finalize_on_words: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Whether to finalize results based on recognized words.
+    """
+
+    max_words: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Maximum number of words per result.
+    """
+
+    punctuate: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Whether to add punctuation.
+    """
+
+    capitalize: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Whether to capitalize transcript text.
+    """
+
+    itn_normalize: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Whether to enable inverse text normalization.
+    """
+
+    full_transcript: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Whether to return the full transcript.
+    """
+
+    keywords: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Comma-separated keyword boosts in `keyword:weight` format.
+    """
+
+    redact_pii: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Whether to redact personally identifiable information.
+    """
+
+    redact_pci: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Whether to redact payment card information.
+    """
+
+    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
diff --git a/src/agora_agent/types/smallest_ai_tts.py b/src/agora_agent/types/smallest_ai_tts.py
new file mode 100644
index 0000000..2046a84
--- /dev/null
+++ b/src/agora_agent/types/smallest_ai_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 .smallest_ai_tts_params import SmallestAiTtsParams
+
+
+class SmallestAiTts(UncheckedBaseModel):
+    """
+    Smallest AI Text-to-Speech configuration.
+    """
+
+    params: SmallestAiTtsParams
+    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
diff --git a/src/agora_agent/types/smallest_ai_tts_params.py b/src/agora_agent/types/smallest_ai_tts_params.py
new file mode 100644
index 0000000..9800e7d
--- /dev/null
+++ b/src/agora_agent/types/smallest_ai_tts_params.py
@@ -0,0 +1,82 @@
+# 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 SmallestAiTtsParams(UncheckedBaseModel):
+    """
+    Smallest AI TTS configuration parameters.
+    """
+
+    url: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    HTTP endpoint for the Smallest AI streaming TTS API.
+    """
+
+    api_key: str = pydantic.Field()
+    """
+    Smallest AI API key.
+    """
+
+    model: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Smallest AI TTS model name.
+    """
+
+    voice_id: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Smallest AI voice identifier.
+    """
+
+    sample_rate: typing.Optional[int] = pydantic.Field(default=None)
+    """
+    Output audio sample rate in Hz.
+    """
+
+    speed: typing.Optional[float] = pydantic.Field(default=None)
+    """
+    Speech rate multiplier.
+    """
+
+    language: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Language code for speech synthesis.
+    """
+
+    number_pronunciation_language: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Language used to pronounce numbers.
+    """
+
+    math_notation: typing.Optional[bool] = pydantic.Field(default=None)
+    """
+    Whether to verbalize mathematical notation.
+    """
+
+    pronunciation_dicts: typing.Optional[typing.List[str]] = pydantic.Field(default=None)
+    """
+    Pronunciation dictionaries applied during synthesis.
+    """
+
+    session_id: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Client-provided session identifier.
+    """
+
+    request_id: typing.Optional[str] = pydantic.Field(default=None)
+    """
+    Client-provided request 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
diff --git a/src/agora_agent/types/tts.py b/src/agora_agent/types/tts.py
index 662a81c..ce737ad 100644
--- a/src/agora_agent/types/tts.py
+++ b/src/agora_agent/types/tts.py
@@ -28,6 +28,7 @@
 from .rime_tts_credential_mode import RimeTtsCredentialMode
 from .rime_tts_params import RimeTtsParams
 from .sarvam_tts_params import SarvamTtsParams
+from .smallest_ai_tts_params import SmallestAiTtsParams
 from .stepfun_tts_params import StepfunTtsParams
 from .tencent_tts_params import TencentTtsParams
 from .typecast_tts_params import TypecastTtsParams
@@ -382,6 +383,21 @@ class Config:
             extra = pydantic.Extra.allow
 
 
+class Tts_Smallestai(UncheckedBaseModel):
+    vendor: typing.Literal["smallestai"] = "smallestai"
+    params: SmallestAiTtsParams
+    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,
@@ -407,6 +423,7 @@ class Config:
         Tts_Gradium,
         Tts_Mistral,
         Tts_Typecast,
+        Tts_Smallestai,
     ],
     UnionMetadata(discriminant="vendor"),
 ]