Use OpenAI SDK types for tool params in adapters and tests

These are TypedDicts (plain dicts at runtime), so no behavioral change
— just more descriptive type hints for readers. Use ToolParam instead
of FunctionToolParam for the Responses adapter to reflect that custom
non-function tools are supported. Use ChatCompletionToolParam instead
of Any for the completions adapter return type. Update tests to use
typed params in expected values.

src/pipecat/adapters/services/open_ai_adapter.py

@@ -96,7 +96,7 @@ class OpenAILLMAdapter(BaseLLMAdapter[OpenAILLMInvocationParams]):
             "tool_choice": context.tool_choice,
         }
 
-    def to_provider_tools_format(self, tools_schema: ToolsSchema) -> List[Any]:
+    def to_provider_tools_format(self, tools_schema: ToolsSchema) -> List[ChatCompletionToolParam]:
         """Convert function schemas to OpenAI's function-calling format.
 
         Args:

src/pipecat/adapters/services/open_ai_responses_adapter.py

@@ -10,7 +10,7 @@ import copy
 from typing import Any, Dict, List, Optional, TypedDict
 
 from openai._types import NotGiven as OpenAINotGiven
-from openai.types.responses import FunctionToolParam, ResponseInputItemParam
+from openai.types.responses import FunctionToolParam, ResponseInputItemParam, ToolParam
 
 from pipecat.adapters.base_llm_adapter import BaseLLMAdapter
 from pipecat.adapters.schemas.tools_schema import AdapterType, ToolsSchema
@@ -25,7 +25,7 @@ class OpenAIResponsesLLMInvocationParams(TypedDict, total=False):
     """Context-based parameters for invoking OpenAI Responses API."""
 
     input: List[ResponseInputItemParam]
-    tools: List[FunctionToolParam] | OpenAINotGiven
+    tools: List[ToolParam] | OpenAINotGiven
     instructions: str
 
 
@@ -106,7 +106,7 @@ class OpenAIResponsesLLMAdapter(BaseLLMAdapter[OpenAIResponsesLLMInvocationParam
 
         return params
 
-    def to_provider_tools_format(self, tools_schema: ToolsSchema) -> List[Any]:
+    def to_provider_tools_format(self, tools_schema: ToolsSchema) -> List[ToolParam]:
         """Convert function schemas to Responses API function tool format.
 
         Args:

tests/test_function_calling_adapters.py

@@ -7,6 +7,8 @@
 import unittest
 
 from openai.types.chat import ChatCompletionToolParam
+from openai.types.responses.function_tool_param import FunctionToolParam
+from openai.types.responses.tool_search_tool_param import ToolSearchToolParam
 
 from pipecat.adapters.schemas.function_schema import FunctionSchema
 from pipecat.adapters.schemas.tools_schema import AdapterType, ToolsSchema
@@ -213,11 +215,11 @@ class TestFunctionAdapters(unittest.TestCase):
         """Test OpenAI Responses adapter appends custom tools."""
         tool_search = {"type": "tool_search"}
         expected = [
-            {
-                "type": "function",
-                "name": "get_weather",
-                "description": "Get the weather in a given location",
-                "parameters": {
+            FunctionToolParam(
+                type="function",
+                name="get_weather",
+                description="Get the weather in a given location",
+                parameters={
                     "type": "object",
                     "properties": {
                         "location": {
@@ -232,9 +234,9 @@ class TestFunctionAdapters(unittest.TestCase):
                     },
                     "required": ["location", "format"],
                 },
-                "strict": None,
-            },
-            tool_search,
+                strict=None,
+            ),
+            ToolSearchToolParam(type="tool_search"),
         ]
         tools_def = self.tools_def
         tools_def.custom_tools = {AdapterType.OPENAI: [tool_search]}