"""Test MRKL functionality.""" import pytest from langchain.chains.mrkl.base import ChainConfig, MRKLChain, get_action_and_input from langchain.chains.mrkl.prompt import BASE_TEMPLATE from langchain.prompts import PromptTemplate from tests.unit_tests.llms.fake_llm import FakeLLM def test_get_action_and_input() -> None: """Test getting an action from text.""" llm_output = ( "Thought: I need to search for NBA\n" "Action: Search\n" "Action Input: NBA" ) action, action_input = get_action_and_input(llm_output) assert action == "Search" assert action_input == "NBA" def test_get_final_answer() -> None: """Test getting final answer.""" llm_output = ( "Thought: I need to search for NBA\n" "Action: Search\n" "Action Input: NBA\n" "Observation: founded in 1994\n" "Thought: I can now answer the question\n" "Final Answer: 1994" ) action, action_input = get_action_and_input(llm_output) assert action == "Final Answer: " assert action_input == "1994" def test_bad_action_input_line() -> None: """Test handling when no action input found.""" llm_output = "Thought: I need to search for NBA\n" "Action: Search\n" "Thought: NBA" with pytest.raises(ValueError): get_action_and_input(llm_output) def test_bad_action_line() -> None: """Test handling when no action input found.""" llm_output = ( "Thought: I need to search for NBA\n" "Thought: Search\n" "Action Input: NBA" ) with pytest.raises(ValueError): get_action_and_input(llm_output) def test_from_chains() -> None: """Test initializing from chains.""" chain_configs = [ ChainConfig( action_name="foo", action=lambda x: "foo", action_description="foobar1" ), ChainConfig( action_name="bar", action=lambda x: "bar", action_description="foobar2" ), ] mrkl_chain = MRKLChain.from_chains(FakeLLM(), chain_configs) expected_tools_prompt = "foo: foobar1\nbar: foobar2" expected_tool_names = "foo, bar" expected_template = BASE_TEMPLATE.format( tools=expected_tools_prompt, tool_names=expected_tool_names ) prompt = mrkl_chain.prompt assert isinstance(prompt, PromptTemplate) assert prompt.template == expected_template