create_prompt() — langchain Function Reference

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

Function python AgentOrchestration AgentExcecutor called by 1

Entity Profile

AgentOrchestration→ AgentExcecutor→ create_prompt() — langchain Function Reference

Dependency Diagram

graph TD
  428fd0bf_f575_d9ce_a33a_03b23d9eb0f0["create_prompt()"]
  93ed7b23_f0e4_5732_b3ed_dccef0049b97["OpenAIFunctionsAgent"]
  428fd0bf_f575_d9ce_a33a_03b23d9eb0f0 -->|defined in| 93ed7b23_f0e4_5732_b3ed_dccef0049b97
  4e43f07b_4dcb_07be_cdea_d96f79d80f79["from_llm_and_tools()"]
  4e43f07b_4dcb_07be_cdea_d96f79d80f79 -->|calls| 428fd0bf_f575_d9ce_a33a_03b23d9eb0f0
  style 428fd0bf_f575_d9ce_a33a_03b23d9eb0f0 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/agents/openai_functions_agent/base.py lines 214–246

    def create_prompt(
        cls,
        system_message: SystemMessage | None = _NOT_SET,  # type: ignore[assignment]
        extra_prompt_messages: list[BaseMessagePromptTemplate] | None = None,
    ) -> ChatPromptTemplate:
        """Create prompt for this agent.

        Args:
            system_message: Message to use as the system message that will be the
                first in the prompt.
            extra_prompt_messages: Prompt messages that will be placed between the
                system message and the new human input.

        Returns:
            A prompt template to pass into this agent.
        """
        _prompts = extra_prompt_messages or []
        system_message_ = (
            system_message
            if system_message is not _NOT_SET
            else SystemMessage(content="You are a helpful AI assistant.")
        )
        messages: list[BaseMessagePromptTemplate | BaseMessage]
        messages = [system_message_] if system_message_ else []

        messages.extend(
            [
                *_prompts,
                HumanMessagePromptTemplate.from_template("{input}"),
                MessagesPlaceholder(variable_name="agent_scratchpad"),
            ],
        )
        return ChatPromptTemplate(messages=messages)