test_calls_convert_agent_action_to_messages() — langchain Function Reference
Architecture documentation for the test_calls_convert_agent_action_to_messages() function in test_openai_tools.py from the langchain codebase.
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Dependency Diagram
graph TD bab45635_a998_b43b_f933_63e6d57f97e6["test_calls_convert_agent_action_to_messages()"] e1f67a20_c53c_0c56_caf3_8aba6704bc4c["test_openai_tools.py"] bab45635_a998_b43b_f933_63e6d57f97e6 -->|defined in| e1f67a20_c53c_0c56_caf3_8aba6704bc4c style bab45635_a998_b43b_f933_63e6d57f97e6 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/langchain/tests/unit_tests/agents/format_scratchpad/test_openai_tools.py lines 11–111
def test_calls_convert_agent_action_to_messages() -> None:
additional_kwargs1 = {
"tool_calls": [
{
"id": "call_abcd12345",
"function": {"arguments": '{"a": 3, "b": 5}', "name": "add"},
"type": "function",
},
],
}
message1 = AIMessage(content="", additional_kwargs=additional_kwargs1)
actions1 = parse_ai_message_to_openai_tool_action(message1)
additional_kwargs2 = {
"tool_calls": [
{
"id": "call_abcd54321",
"function": {"arguments": '{"a": 3, "b": 5}', "name": "subtract"},
"type": "function",
},
],
}
message2 = AIMessage(content="", additional_kwargs=additional_kwargs2)
actions2 = parse_ai_message_to_openai_tool_action(message2)
additional_kwargs3 = {
"tool_calls": [
{
"id": "call_abcd67890",
"function": {"arguments": '{"a": 3, "b": 5}', "name": "multiply"},
"type": "function",
},
{
"id": "call_abcd09876",
"function": {"arguments": '{"a": 3, "b": 5}', "name": "divide"},
"type": "function",
},
],
}
message3 = AIMessage(content="", additional_kwargs=additional_kwargs3)
actions3 = parse_ai_message_to_openai_tool_action(message3)
message4 = AIMessage(
content="",
tool_calls=[
ToolCall(
name="exponentiate",
args={"a": 3, "b": 5},
id="call_abc02468",
type="tool_call",
),
],
)
actions4 = parse_ai_message_to_openai_tool_action(message4)
# for mypy
assert isinstance(actions1, list)
assert isinstance(actions2, list)
assert isinstance(actions3, list)
assert isinstance(actions4, list)
intermediate_steps = [
(actions1[0], "observation1"),
(actions2[0], "observation2"),
(actions3[0], "observation3"),
(actions3[1], "observation4"),
(actions4[0], "observation4"),
]
expected_messages = [
message1,
ToolMessage(
tool_call_id="call_abcd12345",
content="observation1",
additional_kwargs={"name": "add"},
),
message2,
ToolMessage(
tool_call_id="call_abcd54321",
content="observation2",
additional_kwargs={"name": "subtract"},
),
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Frequently Asked Questions
What does test_calls_convert_agent_action_to_messages() do?
test_calls_convert_agent_action_to_messages() is a function in the langchain codebase, defined in libs/langchain/tests/unit_tests/agents/format_scratchpad/test_openai_tools.py.
Where is test_calls_convert_agent_action_to_messages() defined?
test_calls_convert_agent_action_to_messages() is defined in libs/langchain/tests/unit_tests/agents/format_scratchpad/test_openai_tools.py at line 11.
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