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Add SecretStr for Symbl.ai Nebula API (#12896)
Description: This PR masks API key secrets for the Nebula model from Symbl.ai Issue: #12165 Maintainer: @eyurtsev --------- Co-authored-by: Praveen Venkateswaran <praveen.venkateswaran@ibm.com>
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@ -15,8 +15,9 @@ from tenacity import (
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from langchain.callbacks.manager import CallbackManagerForLLMRun
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from langchain.llms.base import LLM
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from langchain.llms.utils import enforce_stop_tokens
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from langchain.pydantic_v1 import Extra, root_validator
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from langchain.utils import get_from_dict_or_env
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from langchain.pydantic_v1 import Extra, SecretStr, root_validator
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from langchain.utils import convert_to_secret_str
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from langchain.utils.env import get_from_dict_or_env
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DEFAULT_NEBULA_SERVICE_URL = "https://api-nebula.symbl.ai"
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DEFAULT_NEBULA_SERVICE_PATH = "/v1/model/generate"
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@ -50,7 +51,7 @@ class Nebula(LLM):
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nebula_service_url: Optional[str] = None
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nebula_service_path: Optional[str] = None
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nebula_api_key: Optional[str] = None
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nebula_api_key: Optional[SecretStr] = None
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model: Optional[str] = None
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max_new_tokens: Optional[int] = 128
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temperature: Optional[float] = 0.6
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@ -81,8 +82,8 @@ class Nebula(LLM):
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"NEBULA_SERVICE_PATH",
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DEFAULT_NEBULA_SERVICE_PATH,
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)
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nebula_api_key = get_from_dict_or_env(
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values, "nebula_api_key", "NEBULA_API_KEY", None
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nebula_api_key = convert_to_secret_str(
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get_from_dict_or_env(values, "nebula_api_key", "NEBULA_API_KEY", None)
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)
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if nebula_service_url.endswith("/"):
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@ -187,9 +188,12 @@ def make_request(
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) -> Any:
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"""Generate text from the model."""
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params = params or {}
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api_key = None
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if self.nebula_api_key is not None:
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api_key = self.nebula_api_key.get_secret_value()
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headers = {
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"Content-Type": "application/json",
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"ApiKey": f"{self.nebula_api_key}",
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"ApiKey": f"{api_key}",
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}
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body = {
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29
libs/langchain/tests/unit_tests/llms/test_symblai_nebula.py
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29
libs/langchain/tests/unit_tests/llms/test_symblai_nebula.py
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@ -0,0 +1,29 @@
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"""Test the Nebula model by Symbl.ai"""
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from pytest import CaptureFixture, MonkeyPatch
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from langchain.llms.symblai_nebula import Nebula
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from langchain.pydantic_v1 import SecretStr
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def test_api_key_is_secret_string() -> None:
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llm = Nebula(nebula_api_key="secret-api-key")
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assert isinstance(llm.nebula_api_key, SecretStr)
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assert llm.nebula_api_key.get_secret_value() == "secret-api-key"
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def test_api_key_masked_when_passed_from_env(
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monkeypatch: MonkeyPatch, capsys: CaptureFixture
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) -> None:
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monkeypatch.setenv("NEBULA_API_KEY", "secret-api-key")
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llm = Nebula()
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print(llm.nebula_api_key, end="")
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captured = capsys.readouterr()
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assert captured.out == "**********"
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def test_api_key_masked_when_passed_via_constructor(capsys: CaptureFixture) -> None:
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llm = Nebula(nebula_api_key="secret-api-key")
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print(llm.nebula_api_key, end="")
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captured = capsys.readouterr()
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assert captured.out == "**********"
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