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multiple: fix xfailed signatures (#28597)
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@ -4,6 +4,7 @@ from typing import Type
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import pytest
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from langchain_core.language_models import BaseChatModel
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from langchain_core.tools import BaseTool
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from langchain_tests.integration_tests import ( # type: ignore[import-not-found]
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ChatModelIntegrationTests, # type: ignore[import-not-found]
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)
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@ -24,5 +25,7 @@ class TestFireworksStandard(ChatModelIntegrationTests):
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}
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@pytest.mark.xfail(reason="Not yet implemented.")
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def test_tool_message_histories_list_content(self, model: BaseChatModel) -> None:
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super().test_tool_message_histories_list_content(model)
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def test_tool_message_histories_list_content(
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self, model: BaseChatModel, my_adder_tool: BaseTool
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) -> None:
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super().test_tool_message_histories_list_content(model, my_adder_tool)
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@ -5,6 +5,7 @@ from typing import Optional, Type
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import pytest
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from langchain_core.language_models import BaseChatModel
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from langchain_core.rate_limiters import InMemoryRateLimiter
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from langchain_core.tools import BaseTool
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from langchain_tests.integration_tests import (
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ChatModelIntegrationTests,
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)
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@ -20,8 +21,10 @@ class BaseTestGroq(ChatModelIntegrationTests):
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return ChatGroq
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@pytest.mark.xfail(reason="Not yet implemented.")
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def test_tool_message_histories_list_content(self, model: BaseChatModel) -> None:
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super().test_tool_message_histories_list_content(model)
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def test_tool_message_histories_list_content(
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self, model: BaseChatModel, my_adder_tool: BaseTool
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) -> None:
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super().test_tool_message_histories_list_content(model, my_adder_tool)
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class TestGroqLlama(BaseTestGroq):
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@ -47,8 +50,10 @@ class TestGroqLlama(BaseTestGroq):
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@pytest.mark.xfail(
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reason=("Fails with 'Failed to call a function. Please adjust your prompt.'")
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)
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def test_tool_message_histories_string_content(self, model: BaseChatModel) -> None:
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super().test_tool_message_histories_string_content(model)
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def test_tool_message_histories_string_content(
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self, model: BaseChatModel, my_adder_tool: BaseTool
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) -> None:
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super().test_tool_message_histories_string_content(model, my_adder_tool)
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@pytest.mark.xfail(
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reason=(
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@ -4,6 +4,7 @@ from typing import Tuple, Type
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import pytest
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from langchain_core.language_models import BaseChatModel
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from langchain_core.tools import BaseTool
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from langchain_tests.unit_tests import ChatModelUnitTests
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from langchain_openai import AzureChatOpenAI
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@ -23,8 +24,10 @@ class TestOpenAIStandard(ChatModelUnitTests):
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}
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@pytest.mark.xfail(reason="AzureOpenAI does not support tool_choice='any'")
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def test_bind_tool_pydantic(self, model: BaseChatModel) -> None:
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super().test_bind_tool_pydantic(model)
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def test_bind_tool_pydantic(
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self, model: BaseChatModel, my_adder_tool: BaseTool
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) -> None:
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super().test_bind_tool_pydantic(model, my_adder_tool)
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@property
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def init_from_env_params(self) -> Tuple[dict, dict, dict]:
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@ -5,6 +5,7 @@ from typing import Optional, Type
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import pytest # type: ignore[import-not-found]
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from langchain_core.language_models import BaseChatModel
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from langchain_core.rate_limiters import InMemoryRateLimiter
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from langchain_core.tools import BaseTool
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from langchain_tests.integration_tests import ( # type: ignore[import-not-found]
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ChatModelIntegrationTests, # type: ignore[import-not-found]
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)
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@ -40,13 +41,19 @@ class TestXAIStandard(ChatModelIntegrationTests):
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super().test_usage_metadata_streaming(model)
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@pytest.mark.xfail(reason="Can't handle AIMessage with empty content.")
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def test_tool_message_error_status(self, model: BaseChatModel) -> None:
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super().test_tool_message_error_status(model)
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def test_tool_message_error_status(
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self, model: BaseChatModel, my_adder_tool: BaseTool
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) -> None:
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super().test_tool_message_error_status(model, my_adder_tool)
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@pytest.mark.xfail(reason="Can't handle AIMessage with empty content.")
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def test_structured_few_shot_examples(self, model: BaseChatModel) -> None:
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super().test_structured_few_shot_examples(model)
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def test_structured_few_shot_examples(
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self, model: BaseChatModel, my_adder_tool: BaseTool
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) -> None:
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super().test_structured_few_shot_examples(model, my_adder_tool)
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@pytest.mark.xfail(reason="Can't handle AIMessage with empty content.")
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def test_tool_message_histories_string_content(self, model: BaseChatModel) -> None:
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super().test_tool_message_histories_string_content(model)
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def test_tool_message_histories_string_content(
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self, model: BaseChatModel, my_adder_tool: BaseTool
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) -> None:
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super().test_tool_message_histories_string_content(model, my_adder_tool)
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