get_sub_prompts() — langchain Function Reference

Architecture documentation for the get_sub_prompts() function in base.py from the langchain codebase.

Function python LangChainCore LanguageModelBase calls 1 called by 4

Entity Profile

LangChainCore→ LanguageModelBase→ get_sub_prompts() — langchain Function Reference

Dependency Diagram

graph TD
  11f618dd_a369_1622_0130_0cc8a952e5cd["get_sub_prompts()"]
  6bee45b2_b649_e251_1fdc_dcf49f8bb331["BaseOpenAI"]
  11f618dd_a369_1622_0130_0cc8a952e5cd -->|defined in| 6bee45b2_b649_e251_1fdc_dcf49f8bb331
  9a3f8476_ed23_4017_8e21_6ee0b6176365["_stream()"]
  9a3f8476_ed23_4017_8e21_6ee0b6176365 -->|calls| 11f618dd_a369_1622_0130_0cc8a952e5cd
  58b8669b_d421_b6e5_b179_03394129fd02["_astream()"]
  58b8669b_d421_b6e5_b179_03394129fd02 -->|calls| 11f618dd_a369_1622_0130_0cc8a952e5cd
  f5892a19_915a_df0a_fbd3_f7a5a0993b64["_generate()"]
  f5892a19_915a_df0a_fbd3_f7a5a0993b64 -->|calls| 11f618dd_a369_1622_0130_0cc8a952e5cd
  2d321de2_cda4_2af7_7550_f3f179b1dddb["_agenerate()"]
  2d321de2_cda4_2af7_7550_f3f179b1dddb -->|calls| 11f618dd_a369_1622_0130_0cc8a952e5cd
  c14f7ea9_3fb1_6c9f_d4ed_47bad90dcea8["max_tokens_for_prompt()"]
  11f618dd_a369_1622_0130_0cc8a952e5cd -->|calls| c14f7ea9_3fb1_6c9f_d4ed_47bad90dcea8
  style 11f618dd_a369_1622_0130_0cc8a952e5cd fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/openai/langchain_openai/llms/base.py lines 572–589

    def get_sub_prompts(
        self,
        params: dict[str, Any],
        prompts: list[str],
        stop: list[str] | None = None,
    ) -> list[list[str]]:
        """Get the sub prompts for llm call."""
        if stop is not None:
            params["stop"] = stop
        if params["max_tokens"] == -1:
            if len(prompts) != 1:
                msg = "max_tokens set to -1 not supported for multiple inputs."
                raise ValueError(msg)
            params["max_tokens"] = self.max_tokens_for_prompt(prompts[0])
        return [
            prompts[i : i + self.batch_size]
            for i in range(0, len(prompts), self.batch_size)
        ]