File "/Users/mn/PycharmProjects/web_explorer/venv/lib/python3.9/site-packages/langchain_core/retrievers.py", line 321, in get_relevant_documents raise e File "/Users/mn/PycharmProjects/web_explorer/venv/lib/python3.9/site-packages/langchain_core/retrievers.py", line 314, in get_relevant_doc...
File [/opt/anaconda3/envs/langchain/lib/python3.8/site-packages/langchain/chains/base.py:136](https://vscode-remote+ssh-002dremote-002bknockdhu-002econcentricai-002ecom.vscode-resource.vscode-cdn.net/opt/anaconda3/envs/langchain/lib/python3.8/site-packages/langchain/chains/base.py:136), ...
AgentExecutor类继承自Chain类,from_agent_and_tools返回一个AgentExecutor对象 在agent_chain.run()调用run方法时由于AgentExecutor子类未实现run()函数,因此会调用父类Chain中的run()函数 3.agent_chain.run()函数 位于chains.base.py文件,类Chain的run()函数 def run(self, *args: Any, callbacks: Callbacks =...
使用LangServe 部署langchain 的chain服务很方便,但是由于Output-fixing parser 不能直接加入chain 中,无法通过简单传参,加入到add_routes 方法内,如果在cli端,解析错误获取的数据信息是http error 也无法拿到llm 错误输出,而且很麻烦,还是得在服务端解决这个问题。 首先新建一个 有JSON parser 的LangServe demo """...
java.lang.Object com.azure.core.util.ExpandableStringEnum<T> com.azure.resourcemanager.streamanalytics.models.OutputErrorPolicypublic final class OutputErrorPolicy extends ExpandableStringEnum<OutputErrorPolicy>Indicates the policy to apply to events that arrive at the output and cannot be written to the...
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我正在经历同样的问题。
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parser=BooleanOutputParser() parser.invoke("YES") True try: parser.invoke("MEOW") exceptExceptionase: print(f"Triggered an exception of type:{type(e)}") Triggered an exception of type: <class 'langchain_core.exceptions.OutputParserException'> ...
提示主要在 OutputParser 想要以某种方式重试或修复输出时提供,并且需要来自提示的信息才能执行此操作。 #这段代码的主要目的是使用一个预训练的语言模型从OpenAI来生成并验证一个笑话。 # 导入必要的模块和类 from langchain.prompts import PromptTemplate, ChatPromptTemplate, HumanMessagePromptTemplate from langchain...