mirror of
https://github.com/Mintplex-Labs/langchain-python.git
synced 2026-07-01 19:54:43 -04:00
Leonid Kuligin
44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
"""Test Google PaLM Text API wrapper.
|
|
|
|
Note: This test must be run with the GOOGLE_API_KEY environment variable set to a
|
|
valid API key.
|
|
"""
|
|
|
|
from pathlib import Path
|
|
|
|
from langchain_core.outputs import LLMResult
|
|
|
|
from langchain.llms.google_palm import GooglePalm
|
|
from langchain.llms.loading import load_llm
|
|
|
|
|
|
def test_google_palm_call() -> None:
|
|
"""Test valid call to Google PaLM text API."""
|
|
llm = GooglePalm(max_output_tokens=10)
|
|
output = llm("Say foo:")
|
|
assert isinstance(output, str)
|
|
assert llm._llm_type == "google_palm"
|
|
assert llm.model_name == "models/text-bison-001"
|
|
|
|
|
|
def test_google_palm_generate() -> None:
|
|
llm = GooglePalm(temperature=0.3, n=2)
|
|
output = llm.generate(["Say foo:"])
|
|
assert isinstance(output, LLMResult)
|
|
assert len(output.generations) == 1
|
|
assert len(output.generations[0]) == 2
|
|
|
|
|
|
def test_google_palm_get_num_tokens() -> None:
|
|
llm = GooglePalm()
|
|
output = llm.get_num_tokens("How are you?")
|
|
assert output == 4
|
|
|
|
|
|
def test_saving_loading_llm(tmp_path: Path) -> None:
|
|
"""Test saving/loading a Google PaLM LLM."""
|
|
llm = GooglePalm(max_output_tokens=10)
|
|
llm.save(file_path=tmp_path / "google_palm.yaml")
|
|
loaded_llm = load_llm(tmp_path / "google_palm.yaml")
|
|
assert loaded_llm == llm
|