test__construct_responses_api_input_multiple_message_types() — langchain Function Reference
Architecture documentation for the test__construct_responses_api_input_multiple_message_types() function in test_base.py from the langchain codebase.
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graph TD c69762c1_3322_d27c_ae64_d5f8f1473378["test__construct_responses_api_input_multiple_message_types()"] 48232d20_f8c1_b597_14fa_7dc407e9bfe5["test_base.py"] c69762c1_3322_d27c_ae64_d5f8f1473378 -->|defined in| 48232d20_f8c1_b597_14fa_7dc407e9bfe5 style c69762c1_3322_d27c_ae64_d5f8f1473378 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/partners/openai/tests/unit_tests/chat_models/test_base.py lines 2337–2445
def test__construct_responses_api_input_multiple_message_types() -> None:
"""Test conversion of a conversation with multiple message types."""
messages = [
SystemMessage(content="You are a helpful assistant."),
SystemMessage(
content=[{"type": "text", "text": "You are a very helpful assistant!"}]
),
HumanMessage(content="What's the weather in San Francisco?"),
HumanMessage(
content=[{"type": "text", "text": "What's the weather in San Francisco?"}]
),
AIMessage(
content="",
tool_calls=[
{
"type": "tool_call",
"id": "call_123",
"name": "get_weather",
"args": {"location": "San Francisco"},
}
],
),
ToolMessage(
content='{"temperature": 72, "conditions": "sunny"}',
tool_call_id="call_123",
),
AIMessage(content="The weather in San Francisco is 72°F and sunny."),
AIMessage(
content=[
{
"type": "text",
"text": "The weather in San Francisco is 72°F and sunny.",
}
]
),
]
messages_copy = [m.model_copy(deep=True) for m in messages]
result = _construct_responses_api_input(messages)
assert len(result) == len(messages)
# Check system message
assert result[0]["role"] == "system"
assert result[0]["content"] == "You are a helpful assistant."
assert result[1]["role"] == "system"
assert result[1]["content"] == [
{"type": "input_text", "text": "You are a very helpful assistant!"}
]
# Check human message
assert result[2]["role"] == "user"
assert result[2]["content"] == "What's the weather in San Francisco?"
assert result[3]["role"] == "user"
assert result[3]["content"] == [
{"type": "input_text", "text": "What's the weather in San Francisco?"}
]
# Check function call
assert result[4]["type"] == "function_call"
assert result[4]["name"] == "get_weather"
assert result[4]["arguments"] == '{"location": "San Francisco"}'
assert result[4]["call_id"] == "call_123"
# Check function call output
assert result[5]["type"] == "function_call_output"
assert result[5]["output"] == '{"temperature": 72, "conditions": "sunny"}'
assert result[5]["call_id"] == "call_123"
assert result[6]["role"] == "assistant"
assert result[6]["content"] == [
{
"type": "output_text",
"text": "The weather in San Francisco is 72°F and sunny.",
"annotations": [],
}
]
assert result[7]["role"] == "assistant"
assert result[7]["content"] == [
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Frequently Asked Questions
What does test__construct_responses_api_input_multiple_message_types() do?
test__construct_responses_api_input_multiple_message_types() is a function in the langchain codebase, defined in libs/partners/openai/tests/unit_tests/chat_models/test_base.py.
Where is test__construct_responses_api_input_multiple_message_types() defined?
test__construct_responses_api_input_multiple_message_types() is defined in libs/partners/openai/tests/unit_tests/chat_models/test_base.py at line 2337.
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