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Mask API keys for various LLM/ChatModel Modules (#13885)
**Description:** - Added masking of the API Keys for the modules: - `langchain/chat_models/openai.py` - `langchain/llms/openai.py` - `langchain/llms/google_palm.py` - `langchain/chat_models/google_palm.py` - `langchain/llms/edenai.py` - Updated the modules to utilize `SecretStr` from pydantic to securely manage API key. - Added unit/integration tests - `langchain/chat_models/asure_openai.py` used the `open_api_key` that is derived from the `ChatOpenAI` Class and it was assuming `openai_api_key` is a str so we changed it to expect `SecretStr` instead. **Issue:** https://github.com/langchain-ai/langchain/issues/12165 , **Dependencies:** none, **Tag maintainer:** @eyurtsev --------- Co-authored-by: HassanA01 <anikeboss@gmail.com> Co-authored-by: Aneeq Hassan <aneeq.hassan@utoronto.ca> Co-authored-by: kristinspenc <kristinspenc2003@gmail.com> Co-authored-by: faisalt14 <faisalt14@gmail.com> Co-authored-by: Harshil-Patel28 <76663814+Harshil-Patel28@users.noreply.github.com> Co-authored-by: kristinspenc <146893228+kristinspenc@users.noreply.github.com> Co-authored-by: faisalt14 <90787271+faisalt14@users.noreply.github.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>
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@ -9,6 +9,8 @@ clicking on the 'sandbox' toggle.
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You'll then need to set EDENAI_API_KEY environment variable to your api key.
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"""
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from langchain_core.pydantic_v1 import SecretStr
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from langchain_community.llms import EdenAI
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@ -45,3 +47,13 @@ def test_edenai_call_with_old_params() -> None:
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assert llm.feature == "text"
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assert llm.subfeature == "generation"
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assert isinstance(output, str)
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def test_api_key_is_secret_string() -> None:
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llm = EdenAI(provider="openai", edenai_api_key="secret-api-key")
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assert isinstance(llm.edenai_api_key, SecretStr)
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def test_uses_actual_secret_value() -> None:
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llm = EdenAI(provider="openai", edenai_api_key="secret-api-key")
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assert llm.edenai_api_key.get_secret_value() == "secret-api-key"
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