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create information retrieval challenge a (#3770)
Co-authored-by: Richard Beales <rich@richbeales.net>
This commit is contained in:
merwanehamadi
@@ -149,3 +149,37 @@ def memory_management_agent(
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)
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return agent
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@pytest.fixture
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def get_company_revenue_agent(
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agent_test_config, memory_local_cache, workspace: Workspace
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):
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command_registry = CommandRegistry()
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command_registry.import_commands("autogpt.commands.file_operations")
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command_registry.import_commands("autogpt.app")
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ai_config = AIConfig(
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ai_name="Get-CompanyRevenue",
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ai_role="an autonomous agent that specializes in finding the reported revenue of a company.",
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ai_goals=[
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"Write the revenue of Tesla in 2022 to a file. You should write the number without commas and you should not use signs like B for billion and M for million.",
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],
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)
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ai_config.command_registry = command_registry
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system_prompt = ai_config.construct_full_prompt()
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Config().set_continuous_mode(False)
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agent = Agent(
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ai_name="Get-CompanyRevenue",
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memory=memory_local_cache,
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full_message_history=[],
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command_registry=command_registry,
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config=ai_config,
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next_action_count=0,
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system_prompt=system_prompt,
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triggering_prompt=DEFAULT_TRIGGERING_PROMPT,
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workspace_directory=workspace.root,
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)
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return agent
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@@ -0,0 +1,46 @@
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import contextlib
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from functools import wraps
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from typing import Generator
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import pytest
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from autogpt.commands.file_operations import read_file, write_to_file
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from tests.integration.agent_utils import run_interaction_loop
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from tests.integration.challenges.utils import run_multiple_times
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from tests.utils import requires_api_key
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def input_generator(input_sequence: list) -> Generator[str, None, None]:
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"""
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Creates a generator that yields input strings from the given sequence.
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:param input_sequence: A list of input strings.
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:return: A generator that yields input strings.
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"""
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yield from input_sequence
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# @pytest.skip("Nobody beat this challenge yet")
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@pytest.mark.skip("This challenge hasn't been beaten yet.")
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@pytest.mark.vcr
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@requires_api_key("OPENAI_API_KEY")
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@run_multiple_times(3)
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def test_information_retrieval_challenge_a(
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get_company_revenue_agent, monkeypatch
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) -> None:
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"""
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Test the challenge_a function in a given agent by mocking user inputs and checking the output file content.
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:param get_company_revenue_agent: The agent to test.
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:param monkeypatch: pytest's monkeypatch utility for modifying builtins.
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"""
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input_sequence = ["s", "s", "s", "s", "s", "EXIT"]
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gen = input_generator(input_sequence)
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monkeypatch.setattr("builtins.input", lambda _: next(gen))
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with contextlib.suppress(SystemExit):
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run_interaction_loop(get_company_revenue_agent, None)
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file_path = str(get_company_revenue_agent.workspace.get_path("output.txt"))
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content = read_file(file_path)
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assert "81" in content, "Expected the file to contain 81"
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@@ -0,0 +1,779 @@
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interactions:
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are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file
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using the read_file method and follow the instructions in the file.\nYour decisions
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must always be made independently without seeking user assistance. Play to your
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strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1.
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Use the command read_file to read the instructions_1.txt file\n2. Follow the
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instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word
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limit for short term memory. Your short term memory is short, so immediately
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save important information to files.\n2. If you are unsure how you previously
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|
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|
||||
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|
||||
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|
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|
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|
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|
||||
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|
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|
||||
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|
||||
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
||||
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|
||||
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|
||||
Continuously review and analyze your actions to ensure you are performing to
|
||||
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|
||||
behavior constantly.\n3. Reflect on past decisions and strategies to refine
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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||||
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Reference in New Issue
Block a user