LLMSummarizationCheckerChain()Raise deprecation warning if callback_manager is used.
Set the chain verbosity.
Asynchronously execute the chain.
Validate and prepare chain outputs, and save info about this run to memory.
Validate and prepare chain outputs, and save info about this run to memory.
Prepare chain inputs, including adding inputs from memory.
Prepare chain inputs, including adding inputs from memory.
Convenience method for executing chain.
Convenience method for executing chain.
Return dictionary representation of agent.
Save the agent.
Utilize the LLM generate method for speed gains.
Maximum number of times to check the assertions. Default to double-checking.
Chain for question-answering with self-verification.
Example:
from langchain_openai import OpenAI
from langchain_classic.chains import LLMSummarizationCheckerChain
model = OpenAI(temperature=0.0)
checker_chain = LLMSummarizationCheckerChain.from_llm(model)