fix: Do not set fnc_ctx to None for anthropic at max depth

livekit-agents/livekit/agents/llm/fallback_adapter.py

@@ -12,7 +12,7 @@
 from ..types import DEFAULT_API_CONNECT_OPTIONS, APIConnectOptions
 from .chat_context import ChatContext
 from .function_context import CalledFunction, FunctionCallInfo, FunctionContext
-from .llm import LLM, ChatChunk, LLMStream, ToolChoice
+from .llm import LLM, ChatChunk, LLMCapabilities, LLMStream, ToolChoice
 
 DEFAULT_FALLBACK_API_CONNECT_OPTIONS = APIConnectOptions(
     max_retry=0, timeout=DEFAULT_API_CONNECT_OPTIONS.timeout
@@ -45,7 +45,17 @@ def __init__(
         if len(llm) < 1:
             raise ValueError("at least one LLM instance must be provided.")
 
-        super().__init__()
+        super().__init__(
+            capabilities=LLMCapabilities(
+                supports_choices_on_int=all(
+                    t.capabilities.supports_choices_on_int for t in llm
+                ),
+                supports_function_history_without_fnc_ctx=all(
+                    t.capabilities.supports_function_history_without_fnc_ctx
+                    for t in llm
+                ),
+            )
+        )
 
         self._llm_instances = llm
         self._attempt_timeout = attempt_timeout

livekit-agents/livekit/agents/llm/llm.py

@@ -50,6 +50,7 @@ class Choice:
 @dataclass
 class LLMCapabilities:
     supports_choices_on_int: bool = True
+    supports_function_history_without_fnc_ctx: bool = True
 
 
 @dataclass
@@ -73,9 +74,9 @@ class LLM(
     rtc.EventEmitter[Union[Literal["metrics_collected"], TEvent]],
     Generic[TEvent],
 ):
-    def __init__(self) -> None:
+    def __init__(self, *, capabilities: LLMCapabilities) -> None:
         super().__init__()
-        self._capabilities = LLMCapabilities()
+        self._capabilities = capabilities
         self._label = f"{type(self).__module__}.{type(self).__name__}"
 
     @property

livekit-agents/livekit/agents/pipeline/pipeline_agent.py

@@ -981,6 +981,7 @@ async def _execute_function_calls() -> None:
                 fnc_ctx
                 and new_speech_handle.fnc_nested_depth
                 >= self._opts.max_nested_fnc_calls
+                and self._llm.capabilities.supports_function_history_without_fnc_ctx
             ):
                 if len(fnc_ctx.ai_functions) > 1:
                     logger.info(
@@ -991,6 +992,7 @@ async def _execute_function_calls() -> None:
                         },
                     )
                 fnc_ctx = None
+
             answer_llm_stream = self._llm.chat(
                 chat_ctx=chat_ctx,
                 fnc_ctx=fnc_ctx,

livekit-plugins/livekit-plugins-anthropic/livekit/plugins/anthropic/llm.py

@@ -39,7 +39,7 @@
     llm,
     utils,
 )
-from livekit.agents.llm import ToolChoice
+from livekit.agents.llm import LLMCapabilities, ToolChoice
 from livekit.agents.llm.function_context import (
     _create_ai_function_info,
     _is_optional_type,
@@ -82,7 +82,13 @@ def __init__(
         ``api_key`` must be set to your Anthropic API key, either using the argument or by setting
         the ``ANTHROPIC_API_KEY`` environmental variable.
         """
-        super().__init__()
+
+        super().__init__(
+            capabilities=LLMCapabilities(
+                supports_function_history_without_fnc_ctx=False,
+                supports_choices_on_int=True,
+            )
+        )
 
         # throw an error on our end
         api_key = api_key or os.environ.get("ANTHROPIC_API_KEY")

livekit-plugins/livekit-plugins-google/livekit/plugins/google/llm.py

@@ -27,7 +27,7 @@
     llm,
     utils,
 )
-from livekit.agents.llm import ToolChoice, _create_ai_function_info
+from livekit.agents.llm import LLMCapabilities, ToolChoice, _create_ai_function_info
 from livekit.agents.types import DEFAULT_API_CONNECT_OPTIONS, APIConnectOptions
 
 from google import genai
@@ -99,8 +99,12 @@ def __init__(
             frequency_penalty (float, optional): Penalizes the model for repeating words. Defaults to None.
             tool_choice (ToolChoice or Literal["auto", "required", "none"], optional): Specifies whether to use tools during response generation. Defaults to "auto".
         """
-        super().__init__()
-        self._capabilities = llm.LLMCapabilities(supports_choices_on_int=False)
+        super().__init__(
+            capabilities=LLMCapabilities(
+                supports_choices_on_int=False,
+                supports_function_history_without_fnc_ctx=True,
+            )
+        )
         self._project_id = project or os.environ.get("GOOGLE_CLOUD_PROJECT", None)
         self._location = location or os.environ.get(
             "GOOGLE_CLOUD_LOCATION", "us-central1"

livekit-plugins/livekit-plugins-openai/livekit/plugins/openai/beta/assistant_llm.py

@@ -23,7 +23,7 @@
 import httpx
 from livekit import rtc
 from livekit.agents import llm, utils
-from livekit.agents.llm import ToolChoice
+from livekit.agents.llm import LLMCapabilities, ToolChoice
 from livekit.agents.types import DEFAULT_API_CONNECT_OPTIONS, APIConnectOptions
 
 from openai import AsyncAssistantEventHandler, AsyncClient
@@ -99,7 +99,12 @@ def __init__(
         base_url: str | None = None,
         on_file_uploaded: OnFileUploaded | None = None,
     ) -> None:
-        super().__init__()
+        super().__init__(
+            capabilities=LLMCapabilities(
+                supports_choices_on_int=True,
+                supports_function_history_without_fnc_ctx=True,
+            )
+        )
 
         test_ctx = llm.ChatContext()
         if not hasattr(test_ctx, "_metadata"):

livekit-plugins/livekit-plugins-openai/livekit/plugins/openai/llm.py

@@ -29,7 +29,11 @@
     APITimeoutError,
     llm,
 )
-from livekit.agents.llm import ToolChoice, _create_ai_function_info
+from livekit.agents.llm import (
+    LLMCapabilities,
+    ToolChoice,
+    _create_ai_function_info,
+)
 from livekit.agents.types import DEFAULT_API_CONNECT_OPTIONS, APIConnectOptions
 
 import openai
@@ -85,8 +89,12 @@ def __init__(
         ``api_key`` must be set to your OpenAI API key, either using the argument or by setting the
         ``OPENAI_API_KEY`` environmental variable.
         """
-        super().__init__()
-        self._capabilities = llm.LLMCapabilities(supports_choices_on_int=True)
+        super().__init__(
+            capabilities=LLMCapabilities(
+                supports_choices_on_int=True,
+                supports_function_history_without_fnc_ctx=True,
+            )
+        )
 
         self._opts = LLMOptions(
             model=model,