langchain-ai--langchain
wehub-resource-sync
47 行
1.1 KiB
Python
47 行
1.1 KiB
Python
"""Unittests for langchain.agents.chat package."""
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from langchain_core.agents import AgentAction
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from langchain_classic.agents.chat.output_parser import ChatOutputParser
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output_parser = ChatOutputParser()
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def get_action_and_input(text: str) -> tuple[str, str]:
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output = output_parser.parse(text)
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if isinstance(output, AgentAction):
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return output.tool, str(output.tool_input)
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return "Final Answer", output.return_values["output"]
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def test_parse_with_language() -> None:
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llm_output = """I can use the `foo` tool to achieve the goal.
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Action:
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```json
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{
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"action": "foo",
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"action_input": "bar"
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}
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```
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"""
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action, action_input = get_action_and_input(llm_output)
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assert action == "foo"
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assert action_input == "bar"
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def test_parse_without_language() -> None:
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llm_output = """I can use the `foo` tool to achieve the goal.
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Action:
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```
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{
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"action": "foo",
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"action_input": "bar"
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}
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```
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"""
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action, action_input = get_action_and_input(llm_output)
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assert action == "foo"
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assert action_input == "bar"
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