salesgpt.chains module

class salesgpt.chains.SalesConversationChain(*, name: str | None = None, memory: BaseMemory | None = None, callbacks: List[BaseCallbackHandler] | BaseCallbackManager | None = None, verbose: bool = None, tags: List[str] | None = None, metadata: Dict[str, Any] | None = None, callback_manager: BaseCallbackManager | None = None, prompt: BasePromptTemplate, llm: Runnable[PromptValue | str | Sequence[BaseMessage], str] | Runnable[PromptValue | str | Sequence[BaseMessage], BaseMessage], output_key: str = 'text', output_parser: BaseLLMOutputParser = None, return_final_only: bool = True, llm_kwargs: dict = None)

Bases: LLMChain

Chain to generate the next utterance for the conversation.

classmethod from_llm(llm: ChatLiteLLM, verbose: bool = True, use_custom_prompt: bool = False, custom_prompt: str = 'You are an AI Sales agent, sell me this pencil') → LLMChain

Get the response parser.

class salesgpt.chains.StageAnalyzerChain(*, name: str | None = None, memory: BaseMemory | None = None, callbacks: List[BaseCallbackHandler] | BaseCallbackManager | None = None, verbose: bool = None, tags: List[str] | None = None, metadata: Dict[str, Any] | None = None, callback_manager: BaseCallbackManager | None = None, prompt: BasePromptTemplate, llm: Runnable[PromptValue | str | Sequence[BaseMessage], str] | Runnable[PromptValue | str | Sequence[BaseMessage], BaseMessage], output_key: str = 'text', output_parser: BaseLLMOutputParser = None, return_final_only: bool = True, llm_kwargs: dict = None)

Bases: LLMChain

Chain to analyze which conversation stage should the conversation move into.

classmethod from_llm(llm: ChatLiteLLM, verbose: bool = True) → LLMChain

Get the response parser.