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https://github.com/hwchase17/langchain.git
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mistral: implement ls_params (#21867)
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parent
68a90e2252
commit
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@ -29,6 +29,7 @@ from langchain_core.callbacks import (
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from langchain_core.language_models import LanguageModelInput
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from langchain_core.language_models import LanguageModelInput
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from langchain_core.language_models.chat_models import (
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from langchain_core.language_models.chat_models import (
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BaseChatModel,
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BaseChatModel,
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LangSmithParams,
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agenerate_from_stream,
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agenerate_from_stream,
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generate_from_stream,
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generate_from_stream,
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)
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)
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@ -343,6 +344,23 @@ class ChatMistralAI(BaseChatModel):
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filtered = {k: v for k, v in defaults.items() if v is not None}
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filtered = {k: v for k, v in defaults.items() if v is not None}
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return filtered
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return filtered
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def _get_ls_params(
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self, stop: Optional[List[str]] = None, **kwargs: Any
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) -> LangSmithParams:
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"""Get standard params for tracing."""
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params = self._get_invocation_params(stop=stop, **kwargs)
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ls_params = LangSmithParams(
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ls_provider="mistral",
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ls_model_name=self.model,
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ls_model_type="chat",
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ls_temperature=params.get("temperature", self.temperature),
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)
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if ls_max_tokens := params.get("max_tokens", self.max_tokens):
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ls_params["ls_max_tokens"] = ls_max_tokens
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if ls_stop := stop or params.get("stop", None):
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ls_params["ls_stop"] = ls_stop
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return ls_params
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@property
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@property
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def _client_params(self) -> Dict[str, Any]:
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def _client_params(self) -> Dict[str, Any]:
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"""Get the parameters used for the client."""
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"""Get the parameters used for the client."""
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6
libs/partners/mistralai/poetry.lock
generated
6
libs/partners/mistralai/poetry.lock
generated
@ -1,4 +1,4 @@
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# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
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# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
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[[package]]
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[[package]]
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name = "annotated-types"
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name = "annotated-types"
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@ -392,7 +392,7 @@ files = [
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[[package]]
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[[package]]
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name = "langchain-core"
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name = "langchain-core"
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version = "0.2.0rc1"
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version = "0.2.0"
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description = "Building applications with LLMs through composability"
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description = "Building applications with LLMs through composability"
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optional = false
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optional = false
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python-versions = ">=3.8.1,<4.0"
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python-versions = ">=3.8.1,<4.0"
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@ -1051,4 +1051,4 @@ zstd = ["zstandard (>=0.18.0)"]
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[metadata]
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[metadata]
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lock-version = "2.0"
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lock-version = "2.0"
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python-versions = ">=3.8.1,<4.0"
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python-versions = ">=3.8.1,<4.0"
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content-hash = "183134cac43c4c1d16e85d4ddf22ce4e14b6e4c78eab67134703da616f12c5cb"
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content-hash = "4a5a57d01c791de831f03fb309541443dc8bb51f5068ccfb7bcb77490c2eb6c3"
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@ -12,7 +12,7 @@ license = "MIT"
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[tool.poetry.dependencies]
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[tool.poetry.dependencies]
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python = ">=3.8.1,<4.0"
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python = ">=3.8.1,<4.0"
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langchain-core = ">=0.1.46,<0.3"
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langchain-core = ">=0.2.0,<0.3"
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tokenizers = ">=0.15.1,<1"
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tokenizers = ">=0.15.1,<1"
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httpx = ">=0.25.2,<1"
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httpx = ">=0.25.2,<1"
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httpx-sse = ">=0.3.1,<1"
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httpx-sse = ">=0.3.1,<1"
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@ -13,14 +13,3 @@ class TestMistralStandard(ChatModelUnitTests):
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@pytest.fixture
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@pytest.fixture
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def chat_model_class(self) -> Type[BaseChatModel]:
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def chat_model_class(self) -> Type[BaseChatModel]:
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return ChatMistralAI
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return ChatMistralAI
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@pytest.mark.xfail(reason="Not implemented.")
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def test_standard_params(
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self,
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chat_model_class: Type[BaseChatModel],
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chat_model_params: dict,
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) -> None:
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super().test_standard_params(
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chat_model_class,
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chat_model_params,
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)
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