Dingo MCP Server

import os from dingo.model import Model from dingo.model.prompt.base import BasePrompt OPENAI_MODEL = 'deepseek-chat' OPENAI_URL = 'https://api.deepseek.com/v1' OPENAI_KEY = os.getenv("OPENAI_KEY") @Model.prompt_register("QUALITY_BAD_SIMILARITY", []) class PromptRepeatDemo(BasePrompt): content = """ 请判断一下文本是否存在重复问题。 返回一个json，如{"score": 0, reason": "xxx"}. 如果存在重复，score是0，否则是1。当score是0时，type是REPEAT。reason是判断的依据。 除了json不要有其他内容。 以下是需要判断的文本： """ if __name__ == '__main__': from dingo.config import InputArgs from dingo.exec import Executor input_data = { "input_path": "../../test/data/test_local_jsonl.jsonl", "dataset": { "source": "local", "format": "jsonl", "field": { "content": "content" } }, "executor": { "prompt_list": ["PromptRepeatDemo"], "result_save": { "bad": True, "good": True } }, "evaluator": { "llm_config": { "LLMTextQualityPromptBase": { "model": OPENAI_MODEL, "key": OPENAI_KEY, "api_url": OPENAI_URL, } } } } input_args = InputArgs(**input_data) executor = Executor.exec_map["local"](input_args) result = executor.execute() print(result)