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Backport PR jupyterlab#653: Use new
langchain-openai partner package
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packages/jupyter-ai-magics/jupyter_ai_magics/partner_providers/openai.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,108 @@ | ||
| from langchain_openai import AzureChatOpenAI, ChatOpenAI, OpenAI, OpenAIEmbeddings | ||
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| from ..embedding_providers import BaseEmbeddingsProvider | ||
| from ..providers import BaseProvider, EnvAuthStrategy, TextField | ||
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| class OpenAIProvider(BaseProvider, OpenAI): | ||
| id = "openai" | ||
| name = "OpenAI" | ||
| models = ["babbage-002", "davinci-002", "gpt-3.5-turbo-instruct"] | ||
| model_id_key = "model_name" | ||
| pypi_package_deps = ["langchain_openai"] | ||
| auth_strategy = EnvAuthStrategy(name="OPENAI_API_KEY") | ||
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| @classmethod | ||
| def is_api_key_exc(cls, e: Exception): | ||
| """ | ||
| Determine if the exception is an OpenAI API key error. | ||
| """ | ||
| import openai | ||
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| if isinstance(e, openai.AuthenticationError): | ||
| error_details = e.json_body.get("error", {}) | ||
| return error_details.get("code") == "invalid_api_key" | ||
| return False | ||
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| class ChatOpenAIProvider(BaseProvider, ChatOpenAI): | ||
| id = "openai-chat" | ||
| name = "OpenAI" | ||
| models = [ | ||
| "gpt-3.5-turbo", | ||
| "gpt-3.5-turbo-0125", | ||
| "gpt-3.5-turbo-0301", # Deprecated as of 2024-06-13 | ||
| "gpt-3.5-turbo-0613", # Deprecated as of 2024-06-13 | ||
| "gpt-3.5-turbo-1106", | ||
| "gpt-3.5-turbo-16k", | ||
| "gpt-3.5-turbo-16k-0613", # Deprecated as of 2024-06-13 | ||
| "gpt-4", | ||
| "gpt-4-turbo-preview", | ||
| "gpt-4-0613", | ||
| "gpt-4-32k", | ||
| "gpt-4-32k-0613", | ||
| "gpt-4-0125-preview", | ||
| "gpt-4-1106-preview", | ||
| ] | ||
| model_id_key = "model_name" | ||
| pypi_package_deps = ["langchain_openai"] | ||
| auth_strategy = EnvAuthStrategy(name="OPENAI_API_KEY") | ||
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| fields = [ | ||
| TextField( | ||
| key="openai_api_base", label="Base API URL (optional)", format="text" | ||
| ), | ||
| TextField( | ||
| key="openai_organization", label="Organization (optional)", format="text" | ||
| ), | ||
| TextField(key="openai_proxy", label="Proxy (optional)", format="text"), | ||
| ] | ||
|
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| @classmethod | ||
| def is_api_key_exc(cls, e: Exception): | ||
| """ | ||
| Determine if the exception is an OpenAI API key error. | ||
| """ | ||
| import openai | ||
|
|
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| if isinstance(e, openai.AuthenticationError): | ||
| error_details = e.json_body.get("error", {}) | ||
| return error_details.get("code") == "invalid_api_key" | ||
| return False | ||
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| class AzureChatOpenAIProvider(BaseProvider, AzureChatOpenAI): | ||
| id = "azure-chat-openai" | ||
| name = "Azure OpenAI" | ||
| models = ["*"] | ||
| model_id_key = "deployment_name" | ||
| model_id_label = "Deployment name" | ||
| pypi_package_deps = ["langchain_openai"] | ||
| auth_strategy = EnvAuthStrategy(name="AZURE_OPENAI_API_KEY") | ||
| registry = True | ||
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| fields = [ | ||
| TextField( | ||
| key="openai_api_base", label="Base API URL (required)", format="text" | ||
| ), | ||
| TextField( | ||
| key="openai_api_version", label="API version (required)", format="text" | ||
| ), | ||
| TextField( | ||
| key="openai_organization", label="Organization (optional)", format="text" | ||
| ), | ||
| TextField(key="openai_proxy", label="Proxy (optional)", format="text"), | ||
| ] | ||
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| class OpenAIEmbeddingsProvider(BaseEmbeddingsProvider, OpenAIEmbeddings): | ||
| id = "openai" | ||
| name = "OpenAI" | ||
| models = [ | ||
| "text-embedding-ada-002", | ||
| "text-embedding-3-small", | ||
| "text-embedding-3-large", | ||
| ] | ||
| model_id_key = "model" | ||
| pypi_package_deps = ["langchain_openai"] | ||
| auth_strategy = EnvAuthStrategy(name="OPENAI_API_KEY") |
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