langchain/tests/unit_tests/callbacks/test_openai_info.py
Davis Chase f08a76250f
Better custom model handling OpenAICallbackHandler (#4009)
Thanks @maykcaldas for flagging! think this should resolve #3988. Let me
know if you still see issues after next release.
2023-05-02 16:19:57 -07:00

47 lines
1.2 KiB
Python

import pytest
from langchain.callbacks import OpenAICallbackHandler
from langchain.llms.openai import BaseOpenAI
from langchain.schema import LLMResult
@pytest.fixture
def handler() -> OpenAICallbackHandler:
return OpenAICallbackHandler()
def test_on_llm_end(handler: OpenAICallbackHandler) -> None:
response = LLMResult(
generations=[],
llm_output={
"token_usage": {
"prompt_tokens": 2,
"completion_tokens": 1,
"total_tokens": 3,
},
"model_name": BaseOpenAI.__fields__["model_name"].default,
},
)
handler.on_llm_end(response)
assert handler.successful_requests == 1
assert handler.total_tokens == 3
assert handler.prompt_tokens == 2
assert handler.completion_tokens == 1
assert handler.total_cost > 0
def test_on_llm_end_custom_model(handler: OpenAICallbackHandler) -> None:
response = LLMResult(
generations=[],
llm_output={
"token_usage": {
"prompt_tokens": 2,
"completion_tokens": 1,
"total_tokens": 3,
},
"model_name": "foo-bar",
},
)
handler.on_llm_end(response)
assert handler.total_cost == 0