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Fix OAI Tool Message (langchain-ai#14746)
See format here: https://platform.openai.com/docs/guides/function-calling/parallel-function-calling It expects a "name" argument, which we aren't providing by default. ![image](https://github.com/langchain-ai/langchain/assets/13333726/7cd82978-337c-40a1-b099-3bb25cd57eb4) Alternative is to add the 'name' field directly to the message if people prefer.
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94 changes: 94 additions & 0 deletions
94
libs/langchain/tests/unit_tests/agents/format_scratchpad/test_openai_tools.py
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from langchain_core.messages import AIMessage, ToolMessage | ||
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||
from langchain.agents.format_scratchpad.openai_tools import ( | ||
format_to_openai_tool_messages, | ||
) | ||
from langchain.agents.output_parsers.openai_tools import ( | ||
parse_ai_message_to_openai_tool_action, | ||
) | ||
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||
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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) | ||
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||
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) | ||
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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) | ||
# for mypy | ||
assert isinstance(actions1, list) | ||
assert isinstance(actions2, list) | ||
assert isinstance(actions3, list) | ||
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intermediate_steps = [ | ||
(actions1[0], "observation1"), | ||
(actions2[0], "observation2"), | ||
(actions3[0], "observation3"), | ||
(actions3[1], "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"}, | ||
), | ||
message3, | ||
ToolMessage( | ||
tool_call_id="call_abcd67890", | ||
content="observation3", | ||
additional_kwargs={"name": "multiply"}, | ||
), | ||
ToolMessage( | ||
tool_call_id="call_abcd09876", | ||
content="observation4", | ||
additional_kwargs={"name": "divide"}, | ||
), | ||
] | ||
output = format_to_openai_tool_messages(intermediate_steps) | ||
assert output == expected_messages | ||
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def test_handles_empty_input_list() -> None: | ||
output = format_to_openai_tool_messages([]) | ||
assert output == [] |