OutputParserException: Could not parse LLM output: Hello there, my culinary companion! How delightful to have you here in my whimsical kitchen. What delectable dish can I assist you with today?好消息是这次系统提示绝对起作用了！坏消息是它出错了，但是为什么？我这次什么怪事都没干。问题的根源可能是...
使用此新参数重新创建agent并再次运行它会导致 JSONDecodeError。 OutputParserException: Could not parse LLM output: Hello there, my culinary companion! How delightful to have you here in my whimsical kitchen. What delectable dish can I assist you with today? 好消息是,系统提示这次绝对起作用了!坏消息...
Output:File venv/lib/python3.11/site-packages/langchain/agents/mrkl/output_parser.py", line 61, in parse raise OutputParserException( langchain.schema.output_parser.OutputParserException: Could not parse LLM output: 'Action: json_spec_list_keys(data)' Expected behavior The agent should parse thro...
template ="You are a helpful assistant that translates {input_language} to {output_language}."system_message_prompt = SystemMessagePromptTemplate.from_template(template)human_template ="{text}"human_message_prompt = HumanMessagePromptTemplate.from_template(human_template) chat_prompt = ChatPromptTempla...
structured output """ def parse_with_prompt(self, completion: str, prompt: PromptValue) -> Any: """Optional method to parse the output of an LLM call with a prompt. The prompt is largely provided in the event the OutputParser wants ...
following pattern: "{self.format}". Examples: {examples}"""defparse(self, response:str)->datetime:try:returndatetime.strptime(response.strip(),self.format) except ValueErrorase: raiseOutputParserException( f"Could not parse datetime string: {response}") from e ...
解析器(Parsers):用于对大模型的输出进行解析,解析成更结构化的格式,如将大模型返回的json格式结果(用markdown标记)解析成Python的词典对象。LangChain中通过ResponseSchema, StructuredOutputParser实现。 我们开发LLM应用,往往都是这样的流程:重复提示模型,解析模型输出,LangChain基于此提供了更简洁优雅的封装。
"""returnself.parse(completion)defget_format_instructions(self)->str:"""Instructions on how the LLM output should be formatted."""raiseNotImplementedError @propertydef_type(self)->str:"""Return the type key."""raiseNotImplementedError(f"_type property is not implemented in class{self.__class_...
解析器(Parsers):用于对大模型的输出进行解析,解析成更结构化的格式,如将大模型返回的json格式结果(用markdown标记)解析成Python的词典对象。LangChain中通过ResponseSchema, StructuredOutputParser实现。 我们开发LLM应用,往往都是这样的流程:重复提示模型,解析模型输出,LangChain基于此提供了更简洁优雅的封装。
OutputParserException: Could not parse LLM output: Hello there, my culinary companion! How delightful to have you here in my whimsical kitchen. What delectable dish can I assist you with today? 坏消息是,它坏了,但又是为什么呢?我这一次没有做任何奇怪的事情。