Refactor: use SecretStr for Petals llms (#15121)

libs/community/langchain_community/llms/petals.py

@@ -3,8 +3,8 @@ from typing import Any, Dict, List, Mapping, Optional
 
 from langchain_core.callbacks import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
-from langchain_core.pydantic_v1 import Extra, Field, root_validator
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.pydantic_v1 import Extra, Field, SecretStr, root_validator
+from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
 
 from langchain_community.llms.utils import enforce_stop_tokens
 
@@ -60,7 +60,7 @@ class Petals(LLM):
     """Holds any model parameters valid for `create` call
     not explicitly specified."""
 
-    huggingface_api_key: Optional[str] = None
+    huggingface_api_key: Optional[SecretStr] = None
 
     class Config:
         """Configuration for this pydantic config."""
@@ -89,8 +89,8 @@ class Petals(LLM):
     @root_validator()
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
-        huggingface_api_key = get_from_dict_or_env(
-            values, "huggingface_api_key", "HUGGINGFACE_API_KEY"
+        huggingface_api_key = convert_to_secret_str(
+            get_from_dict_or_env(values, "huggingface_api_key", "HUGGINGFACE_API_KEY")
         )
         try:
             from petals import AutoDistributedModelForCausalLM
@@ -101,7 +101,7 @@ class Petals(LLM):
             values["client"] = AutoDistributedModelForCausalLM.from_pretrained(
                 model_name
             )
-            values["huggingface_api_key"] = huggingface_api_key
+            values["huggingface_api_key"] = huggingface_api_key.get_secret_value()
 
         except ImportError:
             raise ImportError(

libs/community/tests/integration_tests/llms/test_petals.py

@@ -1,8 +1,26 @@
 """Test Petals API wrapper."""
 
+from langchain_core.pydantic_v1 import SecretStr
+from pytest import CaptureFixture
+
 from langchain_community.llms.petals import Petals
 
 
+def test_api_key_is_string() -> None:
+    llm = Petals(huggingface_api_key="secret-api-key")
+    assert isinstance(llm.huggingface_api_key, SecretStr)
+
+
+def test_api_key_masked_when_passed_via_constructor(
+    capsys: CaptureFixture,
+) -> None:
+    llm = Petals(huggingface_api_key="secret-api-key")
+    print(llm.huggingface_api_key, end="")
+    captured = capsys.readouterr()
+
+    assert captured.out == "**********"
+
+
 def test_gooseai_call() -> None:
     """Test valid call to gooseai."""
     llm = Petals(max_new_tokens=10)