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52714cedd4
# OpanAI finetuned model giving zero tokens cost Very simple fix to the previously committed solution to allowing finetuned Openai models. Improves #5127 --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
63 lines
1.7 KiB
Python
63 lines
1.7 KiB
Python
import pytest
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from langchain.callbacks import OpenAICallbackHandler
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from langchain.llms.openai import BaseOpenAI
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from langchain.schema import LLMResult
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@pytest.fixture
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def handler() -> OpenAICallbackHandler:
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return OpenAICallbackHandler()
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def test_on_llm_end(handler: OpenAICallbackHandler) -> None:
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response = LLMResult(
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generations=[],
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llm_output={
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"token_usage": {
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"prompt_tokens": 2,
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"completion_tokens": 1,
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"total_tokens": 3,
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},
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"model_name": BaseOpenAI.__fields__["model_name"].default,
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},
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)
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handler.on_llm_end(response)
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assert handler.successful_requests == 1
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assert handler.total_tokens == 3
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assert handler.prompt_tokens == 2
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assert handler.completion_tokens == 1
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assert handler.total_cost > 0
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def test_on_llm_end_custom_model(handler: OpenAICallbackHandler) -> None:
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response = LLMResult(
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generations=[],
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llm_output={
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"token_usage": {
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"prompt_tokens": 2,
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"completion_tokens": 1,
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"total_tokens": 3,
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},
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"model_name": "foo-bar",
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},
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)
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handler.on_llm_end(response)
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assert handler.total_cost == 0
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def test_on_llm_end_finetuned_model(handler: OpenAICallbackHandler) -> None:
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response = LLMResult(
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generations=[],
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llm_output={
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"token_usage": {
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"prompt_tokens": 2,
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"completion_tokens": 1,
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"total_tokens": 3,
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},
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"model_name": "ada:ft-your-org:custom-model-name-2022-02-15-04-21-04",
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},
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)
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handler.on_llm_end(response)
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assert handler.total_cost > 0
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