diff --git a/instructor/client_mistral.py b/instructor/client_mistral.py index a586dccbb..5d2e2ca6d 100644 --- a/instructor/client_mistral.py +++ b/instructor/client_mistral.py @@ -1,31 +1,34 @@ # Future imports to ensure compatibility with Python 3.9 from __future__ import annotations -import mistralai.client -import mistralai.async_client as mistralaiasynccli + +from mistralai import Mistral import instructor -from typing import overload, Any +from typing import overload, Any, Literal @overload def from_mistral( - client: mistralai.client.MistralClient, + client: Mistral, mode: instructor.Mode = instructor.Mode.MISTRAL_TOOLS, + use_async: Literal[False] = False, **kwargs: Any, ) -> instructor.Instructor: ... @overload def from_mistral( - client: mistralaiasynccli.MistralAsyncClient, + client: Mistral, mode: instructor.Mode = instructor.Mode.MISTRAL_TOOLS, + use_async: Literal[True] = True, **kwargs: Any, ) -> instructor.AsyncInstructor: ... def from_mistral( - client: mistralai.client.MistralClient | mistralaiasynccli.MistralAsyncClient, + client: Mistral, mode: instructor.Mode = instructor.Mode.MISTRAL_TOOLS, + use_async: bool = False, **kwargs: Any, ) -> instructor.Instructor | instructor.AsyncInstructor: assert mode in { @@ -33,13 +36,13 @@ def from_mistral( }, "Mode be one of {instructor.Mode.MISTRAL_TOOLS}" assert isinstance( - client, (mistralai.client.MistralClient, mistralaiasynccli.MistralAsyncClient) - ), "Client must be an instance of mistralai.client.MistralClient or mistralai.async_cli.MistralAsyncClient" + client, Mistral + ), "Client must be an instance of mistralai.Mistral" - if isinstance(client, mistralai.client.MistralClient): + if not use_async: return instructor.Instructor( client=client, - create=instructor.patch(create=client.chat, mode=mode), + create=instructor.patch(create=client.chat.complete, mode=mode), provider=instructor.Provider.MISTRAL, mode=mode, **kwargs, @@ -48,7 +51,7 @@ def from_mistral( else: return instructor.AsyncInstructor( client=client, - create=instructor.patch(create=client.chat, mode=mode), + create=instructor.patch(create=client.chat.complete_async, mode=mode), provider=instructor.Provider.MISTRAL, mode=mode, **kwargs, diff --git a/instructor/client_vertexai.py b/instructor/client_vertexai.py index 6703db405..ba4775ba9 100644 --- a/instructor/client_vertexai.py +++ b/instructor/client_vertexai.py @@ -6,7 +6,7 @@ import vertexai.generative_models as gm # type: ignore from pydantic import BaseModel import instructor -import jsonref # type: ignore +import jsonref def _create_gemini_json_schema(model: BaseModel): diff --git a/instructor/utils.py b/instructor/utils.py index c6e2fc28f..32df7016c 100644 --- a/instructor/utils.py +++ b/instructor/utils.py @@ -269,7 +269,7 @@ def map_to_gemini_function_schema(obj: dict[str, Any]) -> dict[str, Any]: Note that `enum` requires specific `format` setting """ - import jsonref # type: ignore + import jsonref class FunctionSchema(BaseModel): description: str | None = None diff --git a/poetry.lock b/poetry.lock index 4039e89ef..8ae323b0c 100644 --- a/poetry.lock +++ b/poetry.lock @@ -355,17 +355,17 @@ css = ["tinycss2 (>=1.1.0,<1.3)"] [[package]] name = "boto3" -version = "1.35.20" +version = "1.35.22" description = "The AWS SDK for Python" optional = false python-versions = ">=3.8" files = [ - {file = "boto3-1.35.20-py3-none-any.whl", hash = "sha256:aaddbeb8c37608492f2c8286d004101464833d4c6e49af44601502b8b18785ed"}, - {file = "boto3-1.35.20.tar.gz", hash = "sha256:47e89d95964f10beee21ee723c3290874fddf364269bd97d200e8bfa9bf93a06"}, + {file = "boto3-1.35.22-py3-none-any.whl", hash = "sha256:2109b632b451c1d4347a93a9abe6dc866c03db4ff1f910597f4543f1965829de"}, + {file = "boto3-1.35.22.tar.gz", hash = "sha256:8f4f6e0860ca1b18cbb8d13f3a572a4c099577e741b10205b5604058af0e75b7"}, ] [package.dependencies] -botocore = ">=1.35.20,<1.36.0" +botocore = ">=1.35.22,<1.36.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.10.0,<0.11.0" @@ -374,13 +374,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.35.20" +version = "1.35.22" description = "Low-level, data-driven core of boto 3." optional = false python-versions = ">=3.8" files = [ - {file = "botocore-1.35.20-py3-none-any.whl", hash = "sha256:62412038f960691a299e60492f9ee7e8e75af563f2eca7f3640b3b54b8f5d236"}, - {file = "botocore-1.35.20.tar.gz", hash = "sha256:82ad8a73fcd5852d127461c8dadbe40bf679f760a4efb0dde8d4d269ad3f126f"}, + {file = "botocore-1.35.22-py3-none-any.whl", hash = "sha256:d9bc656e7dde0b3e3f3080fc54bacff6a97fd7806b98acbcc21c7f9d4d0102b9"}, + {file = "botocore-1.35.22.tar.gz", hash = "sha256:18362b7ec748561d786aebf1dd5c9faf22c4732efbf89344314199f96d3bbb65"}, ] [package.dependencies] @@ -1030,18 +1030,18 @@ devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benc [[package]] name = "filelock" -version = "3.16.0" +version = "3.16.1" description = "A platform independent file lock." optional = false python-versions = ">=3.8" files = [ - {file = "filelock-3.16.0-py3-none-any.whl", hash = "sha256:f6ed4c963184f4c84dd5557ce8fece759a3724b37b80c6c4f20a2f63a4dc6609"}, - {file = "filelock-3.16.0.tar.gz", hash = "sha256:81de9eb8453c769b63369f87f11131a7ab04e367f8d97ad39dc230daa07e3bec"}, + {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"}, + {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"}, ] [package.extras] -docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4)"] -testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.1.1)", "pytest (>=8.3.2)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.3)"] +docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"] +testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"] typing = ["typing-extensions (>=4.12.2)"] [[package]] @@ -1268,13 +1268,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"] [[package]] name = "google-api-python-client" -version = "2.145.0" +version = "2.146.0" description = "Google API Client Library for Python" optional = false python-versions = ">=3.7" files = [ - {file = "google_api_python_client-2.145.0-py2.py3-none-any.whl", hash = "sha256:d74da1358f3f2d63daf3c6f26bd96d89652051183bc87cf10a56ceb2a70beb50"}, - {file = "google_api_python_client-2.145.0.tar.gz", hash = "sha256:8b84dde11aaccadc127e4846f5cd932331d804ea324e353131595e3f25376e97"}, + {file = "google_api_python_client-2.146.0-py2.py3-none-any.whl", hash = "sha256:b1e62c9889c5ef6022f11d30d7ef23dc55100300f0e8aaf8aa09e8e92540acad"}, + {file = 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pydantic = "<3" shapely = "<3.0.0dev" [package.extras] -autologging = ["mlflow (>=1.27.0,<=2.1.1)"] +autologging = ["mlflow (>=1.27.0,<=2.16.0)"] cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"] datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)"] endpoint = ["requests (>=2.28.1)"] evaluation = ["pandas (>=1.0.0,<2.2.0)", "tqdm (>=4.23.0)"] -full = ["docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || 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(>=2.5,<=2.33.0)", "requests (>=2.28.1)", "setuptools (<70.0.0)", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)"] langchain = ["langchain (>=0.1.16,<0.3)", "langchain-core (<0.3)", "langchain-google-vertexai (<2)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "orjson (<=3.10.6)", "tenacity (<=8.3)"] langchain-testing = ["absl-py", "cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "langchain (>=0.1.16,<0.3)", "langchain-core (<0.3)", "langchain-google-vertexai (<2)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "orjson (<=3.10.6)", "pydantic (>=2.6.3,<3)", "pytest-xdist", "tenacity (<=8.3)"] lit = ["explainable-ai-sdk (>=1.0.0)", "lit-nlp (==0.4.0)", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0dev)"] @@ -1360,11 +1360,11 @@ metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"] pipelines = ["pyyaml (>=5.3.1,<7)"] prediction = ["docker (>=5.0.3)", "fastapi (>=0.71.0,<=0.114.0)", "httpx (>=0.23.0,<0.25.0)", "starlette (>=0.17.1)", "uvicorn[standard] (>=0.16.0)"] private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"] -ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "setuptools (<70.0.0)"] -ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "ray[train] (==2.9.3)", "scikit-learn", "setuptools (<70.0.0)", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"] +ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "setuptools (<70.0.0)"] +ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "ray[train] (==2.9.3)", "scikit-learn", "setuptools (<70.0.0)", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"] reasoningengine = ["cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.6.3,<3)"] tensorboard = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"] -testing = ["bigframes", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.114.0)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nltk", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || >=2.33.dev0,<=2.33.0)", "ray[default] (>=2.5,<=2.33.0)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "sentencepiece (>=0.2.0)", 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