You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
langchain/libs/community/tests/unit_tests/llms/test_forefrontai.py

52 lines
1.6 KiB
Python

"""Test ForeFrontAI LLM"""
from typing import cast
from langchain_core.pydantic_v1 import SecretStr
from pytest import CaptureFixture, MonkeyPatch
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463) Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
9 months ago
from langchain_community.llms.forefrontai import ForefrontAI
def test_forefrontai_api_key_is_secret_string() -> None:
"""Test that the API key is stored as a SecretStr."""
llm = ForefrontAI(forefrontai_api_key="secret-api-key", temperature=0.2)
assert isinstance(llm.forefrontai_api_key, SecretStr)
def test_forefrontai_api_key_masked_when_passed_from_env(
monkeypatch: MonkeyPatch, capsys: CaptureFixture
) -> None:
"""Test that the API key is masked when passed from an environment variable."""
monkeypatch.setenv("FOREFRONTAI_API_KEY", "secret-api-key")
llm = ForefrontAI(temperature=0.2)
print(llm.forefrontai_api_key, end="") # noqa: T201
captured = capsys.readouterr()
assert captured.out == "**********"
def test_forefrontai_api_key_masked_when_passed_via_constructor(
capsys: CaptureFixture,
) -> None:
"""Test that the API key is masked when passed via the constructor."""
llm = ForefrontAI(
forefrontai_api_key="secret-api-key",
temperature=0.2,
)
print(llm.forefrontai_api_key, end="") # noqa: T201
captured = capsys.readouterr()
assert captured.out == "**********"
def test_forefrontai_uses_actual_secret_value_from_secretstr() -> None:
"""Test that the actual secret value is correctly retrieved."""
llm = ForefrontAI(
forefrontai_api_key="secret-api-key",
temperature=0.2,
)
assert (
cast(SecretStr, llm.forefrontai_api_key).get_secret_value() == "secret-api-key"
)