test_chat_prompt_template_from_messages_jinja2() — langchain Function Reference

Architecture documentation for the test_chat_prompt_template_from_messages_jinja2() function in test_chat.py from the langchain codebase.

Function python CoreAbstractions MessageSchema

Entity Profile

CoreAbstractions→ MessageSchema→ test_chat_prompt_template_from_messages_jinja2() — langchain Function Reference

Dependency Diagram

graph TD
  3616470a_1453_64f8_aa3b_37ac964ec2a6["test_chat_prompt_template_from_messages_jinja2()"]
  bf3138ca_0068_68ea_f479_35376e264d13["test_chat.py"]
  3616470a_1453_64f8_aa3b_37ac964ec2a6 -->|defined in| bf3138ca_0068_68ea_f479_35376e264d13
  style 3616470a_1453_64f8_aa3b_37ac964ec2a6 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/tests/unit_tests/prompts/test_chat.py lines 294–314

def test_chat_prompt_template_from_messages_jinja2() -> None:
    template = ChatPromptTemplate.from_messages(
        [
            ("system", "You are a helpful AI bot. Your name is {{ name }}."),
            ("human", "Hello, how are you doing?"),
            ("ai", "I'm doing well, thanks!"),
            ("human", "{{ user_input }}"),
        ],
        "jinja2",
    )

    messages = template.format_messages(name="Bob", user_input="What is your name?")

    assert messages == [
        SystemMessage(
            content="You are a helpful AI bot. Your name is Bob.", additional_kwargs={}
        ),
        HumanMessage(content="Hello, how are you doing?", additional_kwargs={}),
        AIMessage(content="I'm doing well, thanks!", additional_kwargs={}),
        HumanMessage(content="What is your name?", additional_kwargs={}),
    ]