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f0dc661c3e
* updated openai, fcc works, with sample * reduced files in openai * Add azure chat client * fix tests * Update python/packages/main/tests/unit/test_openai_chat_completion_base.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update python/packages/azure/agent_framework/azure/__init__.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update python/packages/azure/agent_framework/azure/_azure_openai_settings.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * PR comments * fix bad merge * disable tests for now * actually disable tests for azure * fix tests, align test files with merge changes * update code for new project structure * PR comments * add streaming integration tests. Fix flakiness --------- Co-authored-by: eavanvalkenburg <github@vanvalkenburg.eu> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
73 lines
2.7 KiB
Python
73 lines
2.7 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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from typing import Annotated, Any, ClassVar, TypeVar
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from pydantic import BaseModel, ConfigDict, Field, UrlConstraints
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from pydantic.networks import AnyUrl
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from pydantic_settings import BaseSettings, SettingsConfigDict
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HttpsUrl = Annotated[AnyUrl, UrlConstraints(max_length=2083, allowed_schemes=["https"])]
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class AFBaseModel(BaseModel):
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"""Base class for all pydantic models in the Agent Framework."""
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model_config = ConfigDict(populate_by_name=True, arbitrary_types_allowed=True, validate_assignment=True)
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TSettings = TypeVar("TSettings", bound="AFBaseSettings")
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class AFBaseSettings(BaseSettings):
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"""Base class for all settings classes in the Agent Framework.
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A subclass creates it's fields and overrides the env_prefix class variable
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with the prefix for the environment variables.
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In the case where a value is specified for the same Settings field in multiple ways,
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the selected value is determined as follows (in descending order of priority):
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- Arguments passed to the Settings class initializer.
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- Environment variables, e.g. my_prefix_special_function as described above.
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- Variables loaded from a dotenv (.env) file.
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- Variables loaded from the secrets directory.
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- The default field values for the Settings model.
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"""
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env_prefix: ClassVar[str] = ""
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env_file_path: str | None = Field(default=None, exclude=True)
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env_file_encoding: str | None = Field(default="utf-8", exclude=True)
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model_config = SettingsConfigDict(
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extra="ignore",
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case_sensitive=False,
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)
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def __init__(
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self,
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**kwargs: Any,
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) -> None:
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"""Initialize the settings class."""
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# Remove any None values from the kwargs so that defaults are used.
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kwargs = {k: v for k, v in kwargs.items() if v is not None}
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super().__init__(**kwargs)
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def __new__(cls: type["TSettings"], *args: Any, **kwargs: Any) -> "TSettings":
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"""Override the __new__ method to set the env_prefix."""
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# for both, if supplied but None, set to default
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if "env_file_encoding" in kwargs and kwargs["env_file_encoding"] is not None:
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env_file_encoding = kwargs["env_file_encoding"]
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else:
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env_file_encoding = "utf-8"
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if "env_file_path" in kwargs and kwargs["env_file_path"] is not None:
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env_file_path = kwargs["env_file_path"]
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else:
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env_file_path = ".env"
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cls.model_config.update( # type: ignore
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env_prefix=cls.env_prefix,
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env_file=env_file_path,
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env_file_encoding=env_file_encoding,
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)
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cls.model_rebuild()
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return super().__new__(cls) # type: ignore[return-value]
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