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openai[minor]: implement langchain-openai package (#15503)
Todo - [x] copy over integration tests - [x] update docs with new instructions in #15513 - [x] add linear ticket to bump core -> community, community->langchain, and core->openai deps - [ ] (optional): add `pip install langchain-openai` command to each notebook using it - [x] Update docstrings to not need `openai` install - [x] Add serialization - [x] deprecate old models Contributor steps: - [x] Add secret names to manual integrations workflow in .github/workflows/_integration_test.yml - [x] Add secrets to release workflow (for pre-release testing) in .github/workflows/_release.yml Maintainer steps (Contributors should not do these): - [x] set up pypi and test pypi projects - [x] add credential secrets to Github Actions - [ ] add package to conda-forge Functional changes to existing classes: - now relies on openai client v1 (1.6.1) via concrete dep in langchain-openai package Codebase organization - some function calling stuff moved to `langchain_core.utils.function_calling` in order to be used in both community and langchain-openai
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@@ -19,6 +19,7 @@ from typing import (
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)
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import numpy as np
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from langchain_core._api.deprecation import deprecated
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from langchain_core.embeddings import Embeddings
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from langchain_core.pydantic_v1 import BaseModel, Extra, Field, root_validator
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from langchain_core.utils import get_from_dict_or_env, get_pydantic_field_names
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@@ -137,6 +138,11 @@ async def async_embed_with_retry(embeddings: OpenAIEmbeddings, **kwargs: Any) ->
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return await _async_embed_with_retry(**kwargs)
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@deprecated(
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since="0.1.0",
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removal="0.2.0",
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alternative="langchain_openai.OpenAIEmbeddings",
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)
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class OpenAIEmbeddings(BaseModel, Embeddings):
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"""OpenAI embedding models.
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