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50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
from __future__ import annotations
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from typing_extensions import assert_type
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import openai
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from pydantic import BaseModel
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from instructor import (
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AsyncInstructor,
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Instructor,
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Maybe,
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Partial,
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from_anyscale,
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from_databricks,
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from_deepseek,
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from_openai,
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from_provider,
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from_together,
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response_schema,
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)
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from instructor.v2.dsl.maybe import MaybeBase
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class User(BaseModel):
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name: str
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def check_public_factories(
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sync_client: openai.OpenAI,
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async_client: openai.AsyncOpenAI,
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) -> None:
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assert_type(from_openai(sync_client), Instructor)
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assert_type(from_openai(async_client), AsyncInstructor)
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assert_type(from_anyscale("model"), Instructor)
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assert_type(from_anyscale("model", async_client=True), AsyncInstructor)
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assert_type(from_together("model"), Instructor)
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assert_type(from_together("model", async_client=True), AsyncInstructor)
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assert_type(from_databricks("model"), Instructor)
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assert_type(from_databricks("model", async_client=True), AsyncInstructor)
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assert_type(from_deepseek("model"), Instructor)
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assert_type(from_deepseek("model", async_client=True), AsyncInstructor)
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assert_type(from_provider("openai/gpt-4o-mini"), Instructor)
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assert_type(from_provider("openai/gpt-4o-mini", async_client=True), AsyncInstructor)
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def check_public_model_helpers() -> None:
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assert_type(response_schema(User), type[User])
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assert_type(Maybe(User), type[MaybeBase[User]])
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assert_type(Partial[User], type[User])
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