Delete metagpt/provider/open_llm_api.py

metagpt/provider/open_llm_api.py

@@ -1,36 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-# @Desc   : self-host open llm model with openai-compatible interface
-
-from openai.types import CompletionUsage
-
-from metagpt.configs.llm_config import LLMConfig, LLMType
-from metagpt.logs import logger
-from metagpt.provider.llm_provider_registry import register_provider
-from metagpt.provider.openai_api import OpenAILLM
-from metagpt.utils.cost_manager import TokenCostManager
-from metagpt.utils.token_counter import count_message_tokens, count_string_tokens
-
-
-@register_provider(LLMType.OPEN_LLM)
-class OpenLLM(OpenAILLM):
-    def __init__(self, config: LLMConfig):
-        super().__init__(config)
-        self._cost_manager = TokenCostManager()
-
-    def _make_client_kwargs(self) -> dict:
-        kwargs = dict(api_key="sk-xxx", base_url=self.config.base_url)
-        return kwargs
-
-    def _calc_usage(self, messages: list[dict], rsp: str) -> CompletionUsage:
-        usage = CompletionUsage(prompt_tokens=0, completion_tokens=0, total_tokens=0)
-        if not self.config.calc_usage:
-            return usage
-
-        try:
-            usage.prompt_tokens = count_message_tokens(messages, "open-llm-model")
-            usage.completion_tokens = count_string_tokens(rsp, "open-llm-model")
-        except Exception as e:
-            logger.error(f"usage calculation failed!: {e}")
-
-        return usage