init() — langchain Function Reference

Architecture documentation for the __init__() function in streaming_stdout_final_only.py from the langchain codebase.

Function python LangChainCore MessageInterface

Entity Profile

LangChainCore→ MessageInterface→ __init__() — langchain Function Reference

Dependency Diagram

graph TD
  d822dff4_52a8_1fdc_7514_b206d48f0210["__init__()"]
  f95e695f_57c0_a0ed_1f28_1ea7c2b7584d["FinalStreamingStdOutCallbackHandler"]
  d822dff4_52a8_1fdc_7514_b206d48f0210 -->|defined in| f95e695f_57c0_a0ed_1f28_1ea7c2b7584d
  style d822dff4_52a8_1fdc_7514_b206d48f0210 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/callbacks/streaming_stdout_final_only.py lines 34–66

    def __init__(
        self,
        *,
        answer_prefix_tokens: list[str] | None = None,
        strip_tokens: bool = True,
        stream_prefix: bool = False,
    ) -> None:
        """Instantiate FinalStreamingStdOutCallbackHandler.

        Args:
            answer_prefix_tokens: Token sequence that prefixes the answer.
                Default is ["Final", "Answer", ":"]
            strip_tokens: Ignore white spaces and new lines when comparing
                answer_prefix_tokens to last tokens? (to determine if answer has been
                reached)
            stream_prefix: Should answer prefix itself also be streamed?
        """
        super().__init__()
        if answer_prefix_tokens is None:
            self.answer_prefix_tokens = DEFAULT_ANSWER_PREFIX_TOKENS
        else:
            self.answer_prefix_tokens = answer_prefix_tokens
        if strip_tokens:
            self.answer_prefix_tokens_stripped = [
                token.strip() for token in self.answer_prefix_tokens
            ]
        else:
            self.answer_prefix_tokens_stripped = self.answer_prefix_tokens
        self.last_tokens = [""] * len(self.answer_prefix_tokens)
        self.last_tokens_stripped = [""] * len(self.answer_prefix_tokens)
        self.strip_tokens = strip_tokens
        self.stream_prefix = stream_prefix
        self.answer_reached = False