diff --git a/libs/partners/anthropic/tests/integration_tests/test_chat_models.py b/libs/partners/anthropic/tests/integration_tests/test_chat_models.py
index d9019150727..218b098cfa4 100644
--- a/libs/partners/anthropic/tests/integration_tests/test_chat_models.py
+++ b/libs/partners/anthropic/tests/integration_tests/test_chat_models.py
@@ -319,7 +319,7 @@ def test_anthropic_streaming_callback() -> None:
     callback_manager = CallbackManager([callback_handler])
     chat = ChatAnthropic(
         model=MODEL_NAME,  # type: ignore[call-arg]
-        callback_manager=callback_manager,
+        callbacks=callback_manager,
         verbose=True,
     )
     message = HumanMessage(content="Write me a sentence with 10 words.")
@@ -335,7 +335,7 @@ async def test_anthropic_async_streaming_callback() -> None:
     callback_manager = CallbackManager([callback_handler])
     chat = ChatAnthropic(
         model=MODEL_NAME,  # type: ignore[call-arg]
-        callback_manager=callback_manager,
+        callbacks=callback_manager,
         verbose=True,
     )
     chat_messages: list[BaseMessage] = [
@@ -379,7 +379,7 @@ def test_streaming() -> None:
     llm = ChatAnthropic(  # type: ignore[call-arg, call-arg]
         model_name=MODEL_NAME,
         streaming=True,
-        callback_manager=callback_manager,
+        callbacks=callback_manager,
     )
 
     response = llm.generate([[HumanMessage(content="I'm Pickle Rick")]])
@@ -395,7 +395,7 @@ async def test_astreaming() -> None:
     llm = ChatAnthropic(  # type: ignore[call-arg, call-arg]
         model_name=MODEL_NAME,
         streaming=True,
-        callback_manager=callback_manager,
+        callbacks=callback_manager,
     )
 
     response = await llm.agenerate([[HumanMessage(content="I'm Pickle Rick")]])
diff --git a/libs/partners/anthropic/tests/integration_tests/test_llms.py b/libs/partners/anthropic/tests/integration_tests/test_llms.py
index 5cf633d55e3..1e8a4332350 100644
--- a/libs/partners/anthropic/tests/integration_tests/test_llms.py
+++ b/libs/partners/anthropic/tests/integration_tests/test_llms.py
@@ -49,7 +49,7 @@ def test_anthropic_streaming_callback() -> None:
     llm = AnthropicLLM(
         model=MODEL,  # type: ignore[call-arg]
         streaming=True,
-        callback_manager=callback_manager,
+        callbacks=callback_manager,
         verbose=True,
     )
     llm.invoke("Write me a sentence with 100 words.")
@@ -70,7 +70,7 @@ async def test_anthropic_async_streaming_callback() -> None:
     llm = AnthropicLLM(
         model=MODEL,  # type: ignore[call-arg]
         streaming=True,
-        callback_manager=callback_manager,
+        callbacks=callback_manager,
         verbose=True,
     )
     result = await llm.agenerate(["How many toes do dogs have?"])
diff --git a/libs/partners/openai/tests/cassettes/test_mcp_builtin_zdr.yaml.gz b/libs/partners/openai/tests/cassettes/test_mcp_builtin_zdr.yaml.gz
index 0d01636fd50..5befec093cf 100644
Binary files a/libs/partners/openai/tests/cassettes/test_mcp_builtin_zdr.yaml.gz and b/libs/partners/openai/tests/cassettes/test_mcp_builtin_zdr.yaml.gz differ
diff --git a/libs/partners/openai/tests/integration_tests/chat_models/test_azure.py b/libs/partners/openai/tests/integration_tests/chat_models/test_azure.py
index 4164c678684..b8586f03a30 100644
--- a/libs/partners/openai/tests/integration_tests/chat_models/test_azure.py
+++ b/libs/partners/openai/tests/integration_tests/chat_models/test_azure.py
@@ -91,7 +91,7 @@ def test_chat_openai_streaming() -> None:
         max_tokens=10,
         streaming=True,
         temperature=0,
-        callback_manager=callback_manager,
+        callbacks=callback_manager,
         verbose=True,
     )
     message = HumanMessage(content="Hello")
@@ -113,7 +113,7 @@ def test_chat_openai_streaming_generation_info() -> None:
 
     callback = _FakeCallback()
     callback_manager = CallbackManager([callback])
-    chat = _get_llm(max_tokens=2, temperature=0, callback_manager=callback_manager)
+    chat = _get_llm(max_tokens=2, temperature=0, callbacks=callback_manager)
     list(chat.stream("hi"))
     generation = callback.saved_things["generation"]
     # `Hello!` is two tokens, assert that that is what is returned
@@ -145,7 +145,7 @@ async def test_async_chat_openai_streaming() -> None:
         max_tokens=10,
         streaming=True,
         temperature=0,
-        callback_manager=callback_manager,
+        callbacks=callback_manager,
         verbose=True,
     )
     message = HumanMessage(content="Hello")
diff --git a/libs/partners/openai/tests/integration_tests/chat_models/test_base.py b/libs/partners/openai/tests/integration_tests/chat_models/test_base.py
index 9a91449ffcc..373f2645db0 100644
--- a/libs/partners/openai/tests/integration_tests/chat_models/test_base.py
+++ b/libs/partners/openai/tests/integration_tests/chat_models/test_base.py
@@ -115,7 +115,7 @@ def test_chat_openai_streaming(use_responses_api: bool) -> None:
         max_tokens=MAX_TOKEN_COUNT,  # type: ignore[call-arg]
         streaming=True,
         temperature=0,
-        callback_manager=callback_manager,
+        callbacks=callback_manager,
         verbose=True,
         use_responses_api=use_responses_api,
     )
@@ -138,7 +138,7 @@ def test_chat_openai_streaming_generation_info() -> None:
 
     callback = _FakeCallback()
     callback_manager = CallbackManager([callback])
-    chat = ChatOpenAI(max_tokens=2, temperature=0, callback_manager=callback_manager)  # type: ignore[call-arg]
+    chat = ChatOpenAI(max_tokens=2, temperature=0, callbacks=callback_manager)  # type: ignore[call-arg]
     list(chat.stream("hi"))
     generation = callback.saved_things["generation"]
     # `Hello!` is two tokens, assert that that is what is returned
diff --git a/libs/partners/openai/tests/integration_tests/llms/test_azure.py b/libs/partners/openai/tests/integration_tests/llms/test_azure.py
index f1b84ed4392..36c980758a9 100644
--- a/libs/partners/openai/tests/integration_tests/llms/test_azure.py
+++ b/libs/partners/openai/tests/integration_tests/llms/test_azure.py
@@ -145,7 +145,7 @@ def test_openai_streaming_callback() -> None:
         max_tokens=10,
         streaming=True,
         temperature=0,
-        callback_manager=callback_manager,
+        callbacks=callback_manager,
         verbose=True,
     )
     llm.invoke("Write me a sentence with 100 words.")
@@ -168,7 +168,7 @@ async def test_openai_async_streaming_callback() -> None:
         max_tokens=10,
         streaming=True,
         temperature=0,
-        callback_manager=callback_manager,
+        callbacks=callback_manager,
         verbose=True,
     )
     result = await llm.agenerate(["Write me a sentence with 100 words."])