Delete tests/metagpt/provider/test_open_llm_api.py

tests/metagpt/provider/test_open_llm_api.py

@@ -1,56 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-# @Desc   :
-
-import pytest
-from openai.types.chat.chat_completion_chunk import ChatCompletionChunk
-from openai.types.completion_usage import CompletionUsage
-
-from metagpt.provider.open_llm_api import OpenLLM
-from metagpt.utils.cost_manager import CostManager, Costs
-from tests.metagpt.provider.mock_llm_config import mock_llm_config
-from tests.metagpt.provider.req_resp_const import (
-    get_openai_chat_completion,
-    get_openai_chat_completion_chunk,
-    llm_general_chat_funcs_test,
-    messages,
-    prompt,
-    resp_cont_tmpl,
-)
-
-name = "llama2-7b"
-resp_cont = resp_cont_tmpl.format(name=name)
-default_resp = get_openai_chat_completion(name)
-
-default_resp_chunk = get_openai_chat_completion_chunk(name)
-
-
-async def mock_openai_acompletions_create(self, stream: bool = False, **kwargs) -> ChatCompletionChunk:
-    if stream:
-
-        class Iterator(object):
-            async def __aiter__(self):
-                yield default_resp_chunk
-
-        return Iterator()
-    else:
-        return default_resp
-
-
-@pytest.mark.asyncio
-async def test_openllm_acompletion(mocker):
-    mocker.patch("openai.resources.chat.completions.AsyncCompletions.create", mock_openai_acompletions_create)
-
-    openllm_llm = OpenLLM(mock_llm_config)
-    openllm_llm.model = "llama-v2-13b-chat"
-
-    openllm_llm.cost_manager = CostManager()
-    openllm_llm._update_costs(usage=CompletionUsage(prompt_tokens=100, completion_tokens=100, total_tokens=200))
-    assert openllm_llm.get_costs() == Costs(
-        total_prompt_tokens=100, total_completion_tokens=100, total_cost=0, total_budget=0
-    )
-
-    resp = await openllm_llm.acompletion(messages)
-    assert resp.choices[0].message.content in resp_cont
-
-    await llm_general_chat_funcs_test(openllm_llm, prompt, messages, resp_cont)