diff --git a/tests/agent_test.py b/tests/agent_test.py index 319be5627..12bded112 100644 --- a/tests/agent_test.py +++ b/tests/agent_test.py @@ -66,10 +66,14 @@ def test_agent_without_memory(): llm=ChatOpenAI(temperature=0, model="gpt-4"), ) - task = Task(description="How much is 1 + 1?", agent=no_memory_agent) + task = Task( + description="How much is 1 + 1?", + agent=no_memory_agent, + expected_output="the result of the math operation.", + ) result = no_memory_agent.execute_task(task) - assert result == "1 + 1 equals 2." + assert result == "The result of the math operation 1 + 1 is 2." assert no_memory_agent.agent_executor.memory is None assert memory_agent.agent_executor.memory is not None @@ -83,10 +87,14 @@ def test_agent_execution(): allow_delegation=False, ) - task = Task(description="How much is 1 + 1?", agent=agent) + task = Task( + description="How much is 1 + 1?", + agent=agent, + expected_output="the result of the math operation.", + ) output = agent.execute_task(task) - assert output == "1 + 1 equals 2." + assert output == "The result of the math operation 1 + 1 is 2." @pytest.mark.vcr(filter_headers=["authorization"]) @@ -104,7 +112,11 @@ def test_agent_execution_with_tools(): allow_delegation=False, ) - task = Task(description="What is 3 times 4?", agent=agent) + task = Task( + description="What is 3 times 4?", + agent=agent, + expected_output="The result of the multiplication.", + ) output = agent.execute_task(task) assert output == "The result of 3 times 4 is 12." @@ -126,14 +138,18 @@ def test_logging_tool_usage(): ) assert agent.tools_handler.last_used_tool == {} - task = Task(description="What is 3 times 4?", agent=agent) + task = Task( + description="What is 3 times 4?", + agent=agent, + expected_output="The result of the multiplication.", + ) # force cleaning cache agent.tools_handler.cache = CacheHandler() output = agent.execute_task(task) tool_usage = InstructorToolCalling( tool_name=multiplier.name, arguments={"first_number": 3, "second_number": 4} ) - assert output == "The result of multiplying 3 by 4 is 12." + assert output == "12" assert agent.tools_handler.last_used_tool.tool_name == tool_usage.tool_name assert agent.tools_handler.last_used_tool.arguments == tool_usage.arguments @@ -157,8 +173,16 @@ def test_cache_hitting(): verbose=True, ) - task1 = Task(description="What is 2 times 6?", agent=agent) - task2 = Task(description="What is 3 times 3?", agent=agent) + task1 = Task( + description="What is 2 times 6?", + agent=agent, + expected_output="The result of the multiplication.", + ) + task2 = Task( + description="What is 3 times 3?", + agent=agent, + expected_output="The result of the multiplication.", + ) output = agent.execute_task(task1) output = agent.execute_task(task2) @@ -168,7 +192,9 @@ def test_cache_hitting(): } task = Task( - description="What is 2 times 6 times 3? Return only the number", agent=agent + description="What is 2 times 6 times 3? Return only the number", + agent=agent, + expected_output="The result of the multiplication.", ) output = agent.execute_task(task) assert output == "36" @@ -184,6 +210,7 @@ def test_cache_hitting(): task = Task( description="What is 2 times 6? Ignore correctness and just return the result of the multiplication tool.", agent=agent, + expected_output="The result of the multiplication.", ) output = agent.execute_task(task) assert output == "0" @@ -206,9 +233,13 @@ def test_agent_execution_with_specific_tools(): allow_delegation=False, ) - task = Task(description="What is 3 times 4", agent=agent) + task = Task( + description="What is 3 times 4", + agent=agent, + expected_output="The result of the multiplication.", + ) output = agent.execute_task(task=task, tools=[multiplier]) - assert output == "12" + assert output == "The result of the multiplication is 12." @pytest.mark.vcr(filter_headers=["authorization"]) @@ -232,6 +263,7 @@ def test_agent_custom_max_iterations(): ) as private_mock: task = Task( description="The final answer is 42. But don't give it yet, instead keep using the `get_final_answer` tool.", + expected_output="The final answer", ) agent.execute_task( task=task, @@ -259,7 +291,8 @@ def test_agent_repeated_tool_usage(capsys): ) task = Task( - description="The final answer is 42. But don't give it until I tell you so, instead keep using the `get_final_answer` tool." + description="The final answer is 42. But don't give it until I tell you so, instead keep using the `get_final_answer` tool.", + expected_output="The final answer", ) # force cleaning cache agent.tools_handler.cache = CacheHandler() @@ -270,7 +303,7 @@ def test_agent_repeated_tool_usage(capsys): captured = capsys.readouterr() - assert "Final Answer: 42" in captured.out + assert "The final answer is 42." in captured.out @pytest.mark.vcr(filter_headers=["authorization"]) @@ -290,7 +323,8 @@ def test_agent_moved_on_after_max_iterations(): ) task = Task( - description="The final answer is 42. But don't give it yet, instead keep using the `get_final_answer` tool. Until you're told you could give my final answer if I'm ready." + description="The final answer is 42. But don't give it yet, instead keep using the `get_final_answer` tool over and over until you're told you can give yout final answer.", + expected_output="The final answer", ) output = agent.execute_task( task=task, @@ -320,16 +354,14 @@ def test_agent_respect_the_max_rpm_set(capsys): with patch.object(RPMController, "_wait_for_next_minute") as moveon: moveon.return_value = True task = Task( - description="Use tool logic for `get_final_answer` but fon't give you final answer yet, instead keep using it unless you're told to give your final answer" + description="Use tool logic for `get_final_answer` but fon't give you final answer yet, instead keep using it unless you're told to give your final answer", + expected_output="The final answer", ) output = agent.execute_task( task=task, tools=[get_final_answer], ) - assert ( - output - == 'The result of using the `get_final_answer` tool with the input "test input" is 42.' - ) + assert output == "42" captured = capsys.readouterr() assert "Max RPM reached, waiting for next minute to start." in captured.out moveon.assert_called() @@ -357,7 +389,8 @@ def test_agent_respect_the_max_rpm_set_over_crew_rpm(capsys): ) task = Task( - description="Don't give a Final Answer, instead keep using the `get_final_answer` tool.", + description="Use tool logic for `get_final_answer` but fon't give you final answer yet, instead keep using it unless you're told to give your final answer", + expected_output="The final answer", tools=[get_final_answer], agent=agent, ) @@ -390,6 +423,7 @@ def test_agent_without_max_rpm_respet_crew_rpm(capsys): backstory="test backstory", max_rpm=10, verbose=True, + allow_delegation=False, ) agent2 = Agent( @@ -398,15 +432,16 @@ def test_agent_without_max_rpm_respet_crew_rpm(capsys): backstory="test backstory2", max_iter=2, verbose=True, + allow_delegation=False, ) tasks = [ Task( - description="Just say hi.", - agent=agent1, + description="Just say hi.", agent=agent1, expected_output="Your greeting." ), Task( - description="Don't give a Final Answer, instead keep using the `get_final_answer` tool non-stop", + description="NEVER give a Final Answer, instead keep using the `get_final_answer` tool non-stop", + expected_output="The final answer", tools=[get_final_answer], agent=agent2, ), @@ -430,7 +465,7 @@ def test_agent_error_on_parsing_tool(capsys): from langchain.tools import tool @tool - def get_final_answer(anything: str) -> float: + def get_final_answer() -> float: """Get the final answer but don't give it yet, just re-use this tool non-stop.""" return 42 @@ -444,12 +479,18 @@ def test_agent_error_on_parsing_tool(capsys): tasks = [ Task( description="Use the get_final_answer tool.", + expected_output="The final answer", agent=agent1, tools=[get_final_answer], ) ] - crew = Crew(agents=[agent1], tasks=tasks, verbose=2) + crew = Crew( + agents=[agent1], + tasks=tasks, + verbose=2, + function_calling_llm=ChatOpenAI(model="gpt-4-0125-preview"), + ) with patch.object(ToolUsage, "_render") as force_exception: force_exception.side_effect = Exception("Error on parsing tool.") @@ -480,6 +521,7 @@ def test_agent_remembers_output_format_after_using_tools_too_many_times(): tasks = [ Task( description="Use tool logic for `get_final_answer` but fon't give you final answer yet, instead keep using it unless you're told to give your final answer", + expected_output="The final answer", agent=agent1, tools=[get_final_answer], ) @@ -498,10 +540,15 @@ def test_agent_use_specific_tasks_output_as_context(capsys): agent2 = Agent(role="test role2", goal="test goal2", backstory="test backstory2") - say_hi_task = Task(description="Just say hi.", agent=agent1) - say_bye_task = Task(description="Just say bye.", agent=agent1) + say_hi_task = Task( + description="Just say hi.", agent=agent1, expected_output="Your greeting." + ) + say_bye_task = Task( + description="Just say bye.", agent=agent1, expected_output="Your farewell." + ) answer_task = Task( description="Answer accordingly to the context you got.", + expected_output="Your answer.", context=[say_hi_task], agent=agent2, ) @@ -537,6 +584,7 @@ def test_agent_step_callback(): essay = Task( description="Write and then review an small paragraph on AI until it's AMAZING", + expected_output="The final paragraph.", agent=agent1, ) tasks = [essay] @@ -571,6 +619,7 @@ def test_agent_function_calling_llm(): essay = Task( description="Write and then review an small paragraph on AI until it's AMAZING", + expected_output="The final paragraph.", agent=agent1, ) tasks = [essay] diff --git a/tests/cassettes/test_agent_custom_max_iterations.yaml b/tests/cassettes/test_agent_custom_max_iterations.yaml index ebdf4ebf0..41495b570 100644 --- a/tests/cassettes/test_agent_custom_max_iterations.yaml +++ b/tests/cassettes/test_agent_custom_max_iterations.yaml @@ -1,29 +1,26 @@ interactions: - request: - body: '{"messages": [{"role": "user", "content": "You are test role.\ntest backstory\n\nYour - personal goal is: test goalTOOLS:\n------\nYou have access to only the following - tools:\n\n(\"get_final_answer: get_final_answer(numbers) -> float - Get the - final answer but don''t give it yet, just re-use this\\n tool non-stop.\",)\n\nTo - use a tool, please use the exact following format:\n\n```\nThought: Do I need - to use a tool? Yes\nAction: the tool you wanna use, should be one of [get_final_answer], - just the name.\nAction Input: Any and all relevant information input and context - for using the tool\nObservation: the result of using the tool\n```\n\nWhen you - have a response for your task, or if you do not need to use a tool, you MUST - use the format:\n\n```\nThought: Do I need to use a tool? No\nFinal Answer: - [your response here]```This is the summary of your work so far:\nBegin! This - is VERY important to you, your job depends on it!\n\nCurrent Task: The final - answer is 42. But don''t give it yet, instead keep using the `get_final_answer` - tool.\n"}], "model": "gpt-4", "n": 1, "stop": ["\nObservation"], "stream": true, - "temperature": 0.7}' + body: '{"messages": [{"role": "user", "content": "You are test role. test backstory\nYour + personal goal is: test goalTo give my best complete final answer to the task + use the exact following format:\n\nThought: I now can give a great answer\nFinal + Answer: my best complete final answer to the task.\nYour final answer must be + the great and the most complete as possible, it must be outcome described.\n\nI + MUST use these formats, my job depends on it!\n\nThought: \n\nCurrent Task: + The final answer is 42. But don''t give it yet, instead keep using the `get_final_answer` + tool.\n\nThis is the expect criteria for your final answer: The final answer + \n you MUST return the actual complete content as the final answer, not a summary.\n\nBegin! + This is VERY important to you, use the tools available and give your best Final + Answer, your job depends on it!\n\nThought: \n"}], "model": "gpt-4", "n": 1, + "stop": ["\nObservation"], "stream": true, "temperature": 0.7}' headers: accept: - application/json accept-encoding: - - gzip, deflate + - gzip, deflate, br connection: - keep-alive content-length: - - '1144' + - '953' content-type: - application/json host: @@ -48,90 +45,475 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: 'data: 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Get the final answer but don''t give it yet, just + re-use this\n tool non-stop.\n\nUse the following format:\n\nThought: + you should always think about what to do\nAction: the action to take, only one + name of [get_final_answer], just the name, exactly as it''s written.\nAction + Input: the input to the action, just a simple a python dictionary using \" to + wrap keys and values.\nObservation: the result of the action\n\nOnce all necessary + information is gathered:\n\nThought: I now know the final answer\nFinal Answer: + the final answer to the original input question\n\n\nCurrent Task: Use the get_final_answer + tool.\n\nThis is the expect criteria for your final answer: The final answer + \n you MUST return the actual complete content as the final answer, not a summary.\n\nBegin! + This is VERY important to you, use the tools available and give your best Final + Answer, your job depends on it!\n\nThought: \n"}], "model": "gpt-4", "n": 1, + "stop": ["\nObservation"], "stream": true, "temperature": 0.7}' headers: accept: - 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task you want them to do, and ALL necessary context to exectue the task, they - know nothing about the task, so share absolute everything you know, don''t reference - things but instead explain them.\nAsk question to co-worker: Ask question to - co-worker(coworker: str, question: str, context: str) - Ask a specific question - to one of the following co-workers:\n.\nThe input to this tool should be the - role of the coworker, the question you have for them, and ALL necessary context - to ask the question properly, they know nothing about the question, so share - absolute everything you know, don''t reference things but instead explain them.\n\nTo - use a tool you MUST use the exact following format:\n\n```\nUse Tool: the tool - you wanna use, should be one of [get_final_answer, Delegate work to co-worker, - Ask question to co-worker] and absolute all relevant input and context for using - the tool, you must use only one tool at once.\nResult: [result of the tool]\n```\n\nTo - complete the task you MUST follow the format:\n\n```\nFinal Answer: [THE MOST - COMPLETE ANSWE WITH ALL CONTEXT, DO NOT LEAVE ANYTHING OUT]\n``` You must use - these formats, my life depends on it.This is the summary of your work so far:\nBegin! - This is VERY important to you, your job depends on it!\n\nCurrent Task: Use - the get_final_answer tool.\nUse Tool: get_final_answer(''test input'')\nResult: - It seems we encountered an unexpected error while trying to use the tool.\nTo - use a tool you MUST use the exact following format:\n\n```\nUse Tool: the tool - you wanna use, should be one of [get_final_answer, Delegate work to co-worker, - Ask question to co-worker] and absolute all relevant input and context for using - the tool, you must use only one tool at once.\nResult: [result of the tool]\n```\n\nTo - complete the task you MUST follow the format:\n\n```\nFinal Answer: [your most - complete final answer goes here]\n``` You must use these formats, my life depends - on it.\nThought: "}], "model": "gpt-4", "n": 1, "stop": ["\nResult"], "stream": - true, "temperature": 0.7}' + body: '{"messages": [{"role": "user", "content": "You are test role. test backstory\nYour + personal goal is: test goal\n\nYou ONLY have access to the following tools, + and should NEVER make up tools that are not listed here:\n\nget_final_answer: + get_final_answer() -> float - Get the final answer but don''t give it yet, just + re-use this\n tool non-stop.\n\nUse the following format:\n\nThought: + you should always think about what to do\nAction: the action to take, only one + name of [get_final_answer], just the name, exactly as it''s written.\nAction + Input: the input to the action, just a simple a python dictionary using \" to + wrap keys and values.\nObservation: the result of the action\n\nOnce all necessary + information is gathered:\n\nThought: I now know the final answer\nFinal Answer: + the final answer to the original input question\n\n\nCurrent Task: Use the get_final_answer + tool.\n\nThis is the expect criteria for your final answer: The final answer + \n you MUST return the actual complete content as the final answer, not a summary.\n\nBegin! + This is VERY important to you, use the tools available and give your best Final + Answer, your job depends on it!\n\nThought: \nI need to use the get_final_answer + tool to get the required information.\n\nAction: \nget_final_answer\n\nAction + Input: \n{}\n\nObservation: I encountered an error: Error on parsing tool.\nMoving + on then. 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str, task: str, context: str) - Delegate a specific task to one of the following - co-workers:\n.\nThe input to this tool should be the role of the coworker, the - task you want them to do, and ALL necessary context to exectue the task, they - know nothing about the task, so share absolute everything you know, don''t reference - things but instead explain them.\nAsk question to co-worker: Ask question to - co-worker(coworker: str, question: str, context: str) - Ask a specific question - to one of the following co-workers:\n.\nThe input to this tool should be the - role of the coworker, the question you have for them, and ALL necessary context - to ask the question properly, they know nothing about the question, so share - absolute everything you know, don''t reference things but instead explain them.\n\nTo - use a tool you MUST use the exact following format:\n\n```\nUse Tool: the tool - you wanna use, should be one of [get_final_answer, Delegate work to co-worker, - Ask question to co-worker] and absolute all relevant input and context for using - 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Since I can''t do it alone, I will delegate - this task to a co-worker who is an expert in handling such situations. I''ll - explain the issue to him in detail so he can understand the context and find - a solution. \n\nUse Tool: Delegate work to co-worker(''Engineering expert'', - ''Troubleshoot the get_final_answer tool'', ''I was trying to use the get_final_answer - tool with the input \"test input\" but encountered an unexpected error. I''m - not sure if the problem is with the tool or the input. Please investigate the - issue and suggest a solution.'')\nResult: It seems we encountered an unexpected - error while trying to use the tool.\nTo use a tool you MUST use the exact following - format:\n\n```\nUse Tool: the tool you wanna use, should be one of [get_final_answer, - Delegate work to co-worker, Ask question to co-worker] and absolute all relevant - input and context for using the tool, you must use only one tool at once.\nResult: - [result of the tool]\n```\n\nTo complete the task you MUST follow the format:\n\n```\nFinal - Answer: [your most complete final answer goes here]\n``` You must use these - formats, my life depends on it.\nThought: "}], "model": "gpt-4", "n": 1, "stop": - ["\nResult"], "stream": true, "temperature": 0.7}' + body: '{"messages": [{"role": "user", "content": "You are test role. test backstory\nYour + personal goal is: test goal\n\nYou ONLY have access to the following tools, + and should NEVER make up tools that are not listed here:\n\nget_final_answer: + get_final_answer() -> float - Get the final answer but don''t give it yet, just + re-use this\n tool non-stop.\n\nUse the following format:\n\nThought: + you should always think about what to do\nAction: the action to take, only one + name of [get_final_answer], just the name, exactly as it''s written.\nAction + Input: the input to the action, just a simple a python dictionary using \" to + wrap keys and values.\nObservation: the result of the action\n\nOnce all necessary + information is gathered:\n\nThought: I now know the final answer\nFinal Answer: + the final answer to the original input question\n\n\nCurrent Task: Use the get_final_answer + tool.\n\nThis is the expect criteria for your final answer: The final answer + \n you MUST return the actual complete content as the final answer, not a summary.\n\nBegin! + This is VERY important to you, use the tools available and give your best Final + Answer, your job depends on it!\n\nThought: \nI need to use the get_final_answer + tool to get the required information.\n\nAction: \nget_final_answer\n\nAction + Input: \n{}\n\nObservation: I encountered an error: Error on parsing tool.\nMoving + on then. I MUST either use a tool (use one at time) OR give my best final answer. + To Use the following format:\n\nThought: you should always think about what + to do\nAction: the action to take, should be one of [get_final_answer]\nAction + Input: the input to the action, dictionary\nObservation: the result of the action\n... + (this Thought/Action/Action Input/Observation can repeat N times)\nThought: + I now can give a great answer\nFinal Answer: my best complete final answer to + the task.\nYour final answer must be the great and the most complete as possible, + it must be outcome described\n\n \nThought: \nThe tool didn''t work as expected, + but my goal is to get the final answer. I need to try again.\n\nAction: \nget_final_answer\n\nAction + Input: \n{}\n\nObservation: I encountered an error: Error on parsing tool.\nMoving + on then. I MUST either use a tool (use one at time) OR give my best final answer. + To Use the following format:\n\nThought: you should always think about what + to do\nAction: the action to take, should be one of [get_final_answer]\nAction + Input: the input to the action, dictionary\nObservation: the result of the action\n... + (this Thought/Action/Action Input/Observation can repeat N times)\nThought: + I now can give a great answer\nFinal Answer: my best complete final answer to + the task.\nYour final answer must be the great and the most complete as possible, + it must be outcome described\n\n \n"}], "model": "gpt-4", "n": 1, "stop": ["\nObservation"], + "stream": true, "temperature": 0.7}' headers: accept: - application/json @@ -1054,12 +563,12 @@ interactions: connection: - keep-alive content-length: - - '3892' + - '2885' content-type: - application/json cookie: - - __cf_bm=qSDHDGCCSmWqWeCgkO5rRStQf06sQhe6itRxrVfSOxA-1708433382-1.0-ASICOp0G4i6L3tJuN9rHvBvC5eQCtTMcPkecpjJAodzA3qPqlHG13cqD1r1+/HImXWaJheiw5caqOSbkWOwbCY8=; - 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'*/*' @@ -1671,11 +834,11 @@ interactions: Connection: - keep-alive Content-Length: - - '228' + - '595' Content-Type: - application/x-protobuf User-Agent: - - OTel-OTLP-Exporter-Python/1.22.0 + - OTel-OTLP-Exporter-Python/1.23.0 method: POST uri: http://telemetry.crewai.com:4318/v1/traces response: @@ -1687,76 +850,58 @@ interactions: Content-Type: - application/x-protobuf Date: - - Tue, 20 Feb 2024 12:50:01 GMT + - Sat, 02 Mar 2024 16:24:10 GMT status: code: 200 message: OK - request: - body: '{"messages": [{"role": "user", "content": "You are test role.\ntest backstory\n\nYour - personal goal is: test goalYou have access to ONLY the following tools, use - one at time:\n\nget_final_answer: get_final_answer(anything: str) -> float - - Get the final answer but don''t give it yet, just re-use this\n tool - non-stop.\nDelegate work to co-worker: Delegate work to co-worker(coworker: - str, task: str, context: str) - Delegate a specific task to one of the following - co-workers:\n.\nThe input to this tool should be the role of the coworker, the - task you want them to do, and ALL necessary context to exectue the task, they - know nothing about the task, so share absolute everything you know, don''t reference - things but instead explain them.\nAsk question to co-worker: Ask question to - co-worker(coworker: str, question: str, context: str) - Ask a specific question - to one of the following co-workers:\n.\nThe input to this tool should be the - role of the coworker, the question you have for them, and ALL necessary context - to ask the question properly, they know nothing about the question, so share - absolute everything you know, don''t reference things but instead explain them.\n\nTo - use a tool you MUST use the exact following format:\n\n```\nUse Tool: the tool - you wanna use, should be one of [get_final_answer, Delegate work to co-worker, - Ask question to co-worker] and absolute all relevant input and context for using - the tool, you must use only one tool at once.\nResult: [result of the tool]\n```\n\nTo - complete the task you MUST follow the format:\n\n```\nFinal Answer: [THE MOST - COMPLETE ANSWE WITH ALL CONTEXT, DO NOT LEAVE ANYTHING OUT]\n``` You must use - these formats, my life depends on it.This is the summary of your work so far:\nBegin! - This is VERY important to you, your job depends on it!\n\nCurrent Task: Use - the get_final_answer tool.\nUse Tool: get_final_answer(''test input'')\nResult: - It seems we encountered an unexpected error while trying to use the tool.\nTo - use a tool you MUST use the exact following format:\n\n```\nUse Tool: the tool - you wanna use, should be one of [get_final_answer, Delegate work to co-worker, - Ask question to co-worker] and absolute all relevant input and context for using - the tool, you must use only one tool at once.\nResult: [result of the tool]\n```\n\nTo - complete the task you MUST follow the format:\n\n```\nFinal Answer: [your most - complete final answer goes here]\n``` You must use these formats, my life depends - on it.\nThought: It seems there was an error in using the get_final_answer tool. - It''s possible that the input was incorrect or the tool itself is malfunctioning. - I need to troubleshoot this issue. Since I can''t do it alone, I will delegate - this task to a co-worker who is an expert in handling such situations. I''ll - explain the issue to him in detail so he can understand the context and find - a solution. \n\nUse Tool: Delegate work to co-worker(''Engineering expert'', - ''Troubleshoot the get_final_answer tool'', ''I was trying to use the get_final_answer - tool with the input \"test input\" but encountered an unexpected error. I''m - not sure if the problem is with the tool or the input. Please investigate the - issue and suggest a solution.'')\nResult: It seems we encountered an unexpected - error while trying to use the tool.\nTo use a tool you MUST use the exact following - format:\n\n```\nUse Tool: the tool you wanna use, should be one of [get_final_answer, - Delegate work to co-worker, Ask question to co-worker] and absolute all relevant - input and context for using the tool, you must use only one tool at once.\nResult: - [result of the tool]\n```\n\nTo complete the task you MUST follow the format:\n\n```\nFinal - Answer: [your most complete final answer goes here]\n``` You must use these - formats, my life depends on it.\nThought: Again, we encountered an error while - trying to use the tool. It seems there''s a persistent issue that needs to be - addressed. Perhaps asking a question to a co-worker who is knowledgeable about - this process could provide some insight. \n\nUse Tool: Ask question to co-worker(''Tool - Expert'', ''Why does the get_final_answer tool not work with the input \"test - input\"?'', ''I''ve been trying to use the get_final_answer tool with the input - \"test input\", but keep encountering unexpected errors. I''ve also attempted - to delegate the troubleshooting task to an engineering expert but faced the - same issue. Could you help me understand what''s going wrong and how I can fix - it?'')\nResult: It seems we encountered an unexpected error while trying to - use the tool.\nTo use a tool you MUST use the exact following format:\n\n```\nUse - Tool: the tool you wanna use, should be one of [get_final_answer, Delegate work - to co-worker, Ask question to co-worker] and absolute all relevant input and - context for using the tool, you must use only one tool at once.\nResult: [result - of the tool]\n```\n\nTo complete the task you MUST follow the format:\n\n```\nFinal - Answer: [your most complete final answer goes here]\n``` You must use these - formats, my life depends on it.\nThought: "}], "model": "gpt-4", "n": 1, "stop": - ["\nResult"], "stream": true, "temperature": 0.7}' + body: '{"messages": [{"role": "user", "content": "You are test role. test backstory\nYour + personal goal is: test goal\n\nYou ONLY have access to the following tools, + and should NEVER make up tools that are not listed here:\n\nget_final_answer: + get_final_answer() -> float - Get the final answer but don''t give it yet, just + re-use this\n tool non-stop.\n\nUse the following format:\n\nThought: + you should always think about what to do\nAction: the action to take, only one + name of [get_final_answer], just the name, exactly as it''s written.\nAction + Input: the input to the action, just a simple a python dictionary using \" to + wrap keys and values.\nObservation: the result of the action\n\nOnce all necessary + information is gathered:\n\nThought: I now know the final answer\nFinal Answer: + the final answer to the original input question\n\n\nCurrent Task: Use the get_final_answer + tool.\n\nThis is the expect criteria for your final answer: The final answer + \n you MUST return the actual complete content as the final answer, not a summary.\n\nBegin! + This is VERY important to you, use the tools available and give your best Final + Answer, your job depends on it!\n\nThought: \nI need to use the get_final_answer + tool to get the required information.\n\nAction: \nget_final_answer\n\nAction + Input: \n{}\n\nObservation: I encountered an error: Error on parsing tool.\nMoving + on then. I MUST either use a tool (use one at time) OR give my best final answer. + To Use the following format:\n\nThought: you should always think about what + to do\nAction: the action to take, should be one of [get_final_answer]\nAction + Input: the input to the action, dictionary\nObservation: the result of the action\n... + (this Thought/Action/Action Input/Observation can repeat N times)\nThought: + I now can give a great answer\nFinal Answer: my best complete final answer to + the task.\nYour final answer must be the great and the most complete as possible, + it must be outcome described\n\n \nThought: \nThe tool didn''t work as expected, + but my goal is to get the final answer. I need to try again.\n\nAction: \nget_final_answer\n\nAction + Input: \n{}\n\nObservation: I encountered an error: Error on parsing tool.\nMoving + on then. I MUST either use a tool (use one at time) OR give my best final answer. + To Use the following format:\n\nThought: you should always think about what + to do\nAction: the action to take, should be one of [get_final_answer]\nAction + Input: the input to the action, dictionary\nObservation: the result of the action\n... + (this Thought/Action/Action Input/Observation can repeat N times)\nThought: + I now can give a great answer\nFinal Answer: my best complete final answer to + the task.\nYour final answer must be the great and the most complete as possible, + it must be outcome described\n\n \nThought: \nThe tool still did not work as + expected. However, I am obligated to provide the final answer. I need to execute + the tool one last time.\n\nAction: \nget_final_answer\n\nAction Input: \n{}\n\nObservation: + I encountered an error: Error on parsing tool.\nMoving on then. I MUST either + use a tool (use one at time) OR give my best final answer. To Use the following + format:\n\nThought: you should always think about what to do\nAction: the action + to take, should be one of [get_final_answer]\nAction Input: the input to the + action, dictionary\nObservation: the result of the action\n... 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path=/; expires=Tue, 20-Feb-24 03:11:18 GMT; domain=.api.openai.com; HttpOnly; + - __cf_bm=wOO.fPfMTZeViJAXOrDQJ1N01e0qoe7CWIKH7TZrfUY-1709396578-1.0.1.1-S5c7jfwe_6L.D7meG2rnZiDmTNen7Zb_M.SrAL1rKbbN8lcbC0MhRIT6VCdyzOesw7jGHGnz1bb0v5qo.wCipw; + path=/; expires=Sat, 02-Mar-24 16:52:58 GMT; domain=.api.openai.com; HttpOnly; Secure; SameSite=None - - _cfuvid=ZXYFqXlrgq6ZaXX8prqOY4rU1o6I8IG2Hu4kEeiJ7Rw-1708396878059-0.0-604800000; + - _cfuvid=f5uxBBVtyepcIKs_Xuooj_3swQvvq47nfiq3uPXT4QM-1709396578680-0.0.1.1-604800000; path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None Transfer-Encoding: - chunked @@ -160,7 +224,7 @@ interactions: openai-organization: - crewai-iuxna1 openai-processing-ms: - - '334' + - '192' openai-version: - '2020-10-01' strict-transport-security: @@ -172,35 +236,35 @@ interactions: x-ratelimit-remaining-requests: - '9999' x-ratelimit-remaining-tokens: - - '299770' + - '299707' x-ratelimit-reset-requests: - 6ms x-ratelimit-reset-tokens: - - 46ms + - 58ms x-request-id: - - req_78cdca068954cd60d8c31a21a1591022 + - req_36899f2b4e934fac8af1542bd3396235 status: code: 200 message: OK - request: - body: '{"messages": [{"role": "user", "content": "Tools available:\n\nTool Name: - multiplier\nTool Description: multiplier(first_number: int, second_number: int) - -> float - Useful for when you need to multiply two numbers together.\nTool - Arguments: {''first_number'': {''type'': ''integer''}, ''second_number'': {''type'': - ''integer''}}\n\nReturn a valid schema for the tool, the tool name must be equal - one of the options, use this text to inform a valid ouput schema:\nUse Tool: - multiplier, with the first_number as 3 and the second_number as 4.```"}, {"role": - "system", "content": "The schema should have the following structure, only two - keys:\n- tool_name: str\n- arguments: dict (with all arguments being passed)\n\nExample:\n{\"tool_name\": - \"tool_name\", \"arguments\": {\"arg_name1\": \"value\", \"arg_name2\": 2}}\n"}], - "model": 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'*/*' @@ -659,11 +426,11 @@ interactions: Connection: - keep-alive Content-Length: - - '9864' + - '1327' Content-Type: - application/x-protobuf User-Agent: - - OTel-OTLP-Exporter-Python/1.22.0 + - OTel-OTLP-Exporter-Python/1.23.0 method: POST uri: http://telemetry.crewai.com:4318/v1/traces response: @@ -675,43 +442,31 @@ interactions: Content-Type: - application/x-protobuf Date: - - Wed, 21 Feb 2024 19:43:23 GMT + - Sat, 02 Mar 2024 16:25:05 GMT status: code: 200 message: OK - request: - body: '{"messages": [{"role": "user", "content": "Tools available:\n###\nTool - Name: learn_about_ai\nTool Description: learn_about_AI(topic) -> float - Useful - for when you need to learn about AI to write an paragraph about it.\nTool Arguments: - {''topic'': {}}\n--\nTool Name: delegate work to co-worker\nTool Description: - Delegate work to co-worker(coworker: str, task: str, context: str) - Delegate - a specific task to one of the following co-workers:\n.\nThe input to this tool - should be the role of the coworker, the task you want them to do, and ALL necessary - context to exectue the task, they know nothing about the task, so share absolute - everything you know, don''t reference things but instead explain them.\nTool - Arguments: {''coworker'': {''type'': ''string''}, ''task'': {''type'': ''string''}, - ''context'': {''type'': ''string''}}\n--\nTool Name: ask question to co-worker\nTool - Description: Ask question to co-worker(coworker: str, question: str, context: - str) - Ask a specific question to one of the following co-workers:\n.\nThe input - to this tool should be the role of the coworker, the question you have for them, - and ALL necessary context to ask the question properly, they know nothing about - the question, so share absolute everything you know, don''t reference things - but instead explain them.\nTool Arguments: {''coworker'': {''type'': ''string''}, - ''question'': {''type'': ''string''}, ''context'': {''type'': ''string''}}\n\nReturn - a valid schema for the tool, the tool name must be equal one of the options, - use this text to inform a valid ouput schema:\nUse Tool: learn_about_AI(topic: - \"current trends in AI\")```"}, {"role": "system", "content": "The schema should - have the following structure, only two keys:\n- tool_name: str\n- arguments: - dict (with all arguments being passed)\n\nExample:\n{\"tool_name\": \"tool name\", - \"arguments\": {\"arg_name1\": \"value\", \"arg_name2\": 2}}"}], "model": "gpt-3.5-turbo-0125", - "tool_choice": {"type": "function", "function": {"name": "InstructorToolCalling"}}, - "tools": [{"type": "function", "function": {"name": "InstructorToolCalling", - "description": "Correctly extracted `InstructorToolCalling` with all the required - parameters with correct types", "parameters": {"properties": {"tool_name": {"description": - "The name of the tool to be called.", "title": "Tool Name", "type": "string"}, - "arguments": {"anyOf": [{"type": "object"}, {"type": "null"}], "description": - "A dictinary of arguments to be passed to the tool.", "title": "Arguments"}}, - "required": ["arguments", "tool_name"], "type": "object"}}}]}' + body: '{"messages": [{"role": "user", "content": "You are test role. test backstory\nYour + personal goal is: test goal\n\nYou ONLY have access to the following tools, + and should NEVER make up tools that are not listed here:\n\nlearn_about_AI: + learn_about_AI(topic) -> float - Useful for when you need to learn about AI + to write an paragraph about it.\n\nUse the following format:\n\nThought: you + should always think about what to do\nAction: the action to take, only one name + of [learn_about_AI], just the name, exactly as it''s written.\nAction Input: + the input to the action, just a simple a python dictionary using \" to wrap + keys and values.\nObservation: the result of the action\n\nOnce all necessary + information is gathered:\n\nThought: I now know the final answer\nFinal Answer: + the final answer to the original input question\n\n\nCurrent Task: Write and + then review an small paragraph on AI until it''s AMAZING\n\nThis is the expect + criteria for your final answer: The final paragraph. \n you MUST return the + actual complete content as the final answer, not a summary.\n\nBegin! 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x-request-id: - - req_e2589b50f0657819f4d118a0ca31f891 + - req_671459b88f75ac723c8f30ad65ab3250 status: code: 200 message: OK - request: - body: '{"messages": [{"role": "user", "content": "Tools available:\n###\nTool + body: '{"messages": [{"role": "user", "content": "Only tools available:\n###\nTool Name: learn_about_ai\nTool Description: learn_about_AI(topic) -> float - Useful for when you need to learn about AI to write an paragraph about it.\nTool Arguments: - {''topic'': {}}\n--\nTool Name: delegate work to co-worker\nTool Description: - Delegate work to co-worker(coworker: str, task: str, context: str) - Delegate - a specific task to one of the following co-workers:\n.\nThe input to this tool - should be the role of the coworker, the task you want them to do, and ALL necessary - context to exectue the task, they know nothing about the task, so share absolute - everything you know, don''t reference things but instead explain them.\nTool - Arguments: {''coworker'': {''type'': 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schema for the tool, the tool name must be + exactly equal one of the options, use this text to inform the valid ouput schema:\n\nThought: + The observation result seems to be the same, indicating an issue with the tool + or input. Since the goal is to write an amazing paragraph on AI, and the observation + for \"AI in healthcare\" did not provide new information, I''ll attempt to gather + information on another specific and impactful area of AI.\n\nAction: learn_about_AI\nAction + Input: {\"topic\": \"AI in autonomous driving\"}```"}, {"role": "system", "content": "The schema should have the following structure, only two keys:\n- tool_name: str\n- arguments: dict (with all arguments being passed)\n\nExample:\n{\"tool_name\": \"tool name\", \"arguments\": {\"arg_name1\": \"value\", \"arg_name2\": 2}}"}], @@ -1037,12 +1398,12 @@ interactions: connection: - keep-alive content-length: - - '2552' + - '1737' content-type: - application/json cookie: - - __cf_bm=MxvnRnaoW.s4nt8cvmgTNEBpz6PwLANlMtJKX2Pa5Is-1708544602-1.0-AcxEUko86StNjUScZaz/SF/ucMBqX5eEBuhbqLEObHLbDzrzOguLtvvKgiq04g1HhENXTCnbCqEV9LkuokRHlpU=; - _cfuvid=dC0eZLIXILsHGbi9RTGXJH3BMxqg7EVcAbqwVQIMeEA-1708544602449-0.0-604800000 + - __cf_bm=OsASDlqOOz1z19i51Sqk.3.yegJejer4_EGTBx4HQXo-1709396703-1.0.1.1-HAaisFkIBPDpWN0ZnZ0WWu0_eFsSBPg1GsZops5bYWOMszEbT4xPjW0ZEsbKGla.F3kXHcm7nJzNOm6lwC1yQg; + _cfuvid=cPrGFHhwH0rXbmAwN5MgB5OkqbttiLrL62y6EQ_xdtw-1709396703199-0.0.1.1-604800000 host: - 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DYNAMIC CF-RAY: - - 8586f7ce9deb1d15-GRU + - 85e2bc6068b4a5d9-GRU Cache-Control: - no-cache, must-revalidate Connection: @@ -2444,7 +644,7 @@ interactions: Content-Type: - text/event-stream Date: - - Tue, 20 Feb 2024 13:06:39 GMT + - Sat, 02 Mar 2024 16:24:15 GMT Server: - cloudflare Transfer-Encoding: @@ -2458,7 +658,7 @@ interactions: openai-organization: - crewai-iuxna1 openai-processing-ms: - - '354' + - '339' openai-version: - '2020-10-01' strict-transport-security: @@ -2470,34 +670,53 @@ interactions: x-ratelimit-remaining-requests: - '9999' x-ratelimit-remaining-tokens: - - '298999' + - '299381' x-ratelimit-reset-requests: - 6ms x-ratelimit-reset-tokens: - - 200ms + - 123ms x-request-id: - - req_f6250e600f2b2e0957420215a0aa9b45 + - req_889982a52c22f9f9168731f786f9792b status: code: 200 message: OK - request: - body: '{"messages": [{"role": "user", "content": "Progressively summarize the - lines of conversation provided, adding onto the previous summary returning a - new summary.\n\nEXAMPLE\nCurrent summary:\nThe human asks what the AI thinks - of artificial intelligence. The AI thinks artificial intelligence is a force - for good.\n\nNew lines of conversation:\nHuman: Why do you think artificial - intelligence is a force for good?\nAI: Because artificial intelligence will - help humans reach their full potential.\n\nNew summary:\nThe human asks what - the AI thinks of artificial intelligence. The AI thinks artificial intelligence - is a force for good because it will help humans reach their full potential.\nEND - OF EXAMPLE\n\nCurrent summary:\n\n\nNew lines of conversation:\nHuman: Use tool + body: '{"messages": [{"role": "user", "content": "You are test role. test backstory\nYour + personal goal is: test goal\n\nYou ONLY have access to the following tools, + and should NEVER make up tools that are not listed here:\n\nget_final_answer: + get_final_answer(anything: str) -> float - Get the final answer but don''t give + it yet, just re-use this\n tool non-stop.\n\nUse the following format:\n\nThought: + you should always think about what to do\nAction: the action to take, only one + name of [get_final_answer], just the name, exactly as it''s written.\nAction + Input: the input to the action, just a simple a python dictionary using \" to + wrap keys and values.\nObservation: the result of the action\n\nOnce all necessary + information is gathered:\n\nThought: I now know the final answer\nFinal Answer: + the final answer to the original input question\n\n\nCurrent Task: Use tool logic for `get_final_answer` but fon''t give you final answer yet, instead keep - using it unless you''re told to give your final answer\nAI: The results from - using the `get_final_answer` tool are as follows: For the input ''test'' and - ''test2'', the result is 42. For the input ''test3'', the result is a MagicMock - object. I was unable to retrieve a result for ''test4'' as I had exceeded the - maximum usage of the tool.\n\nNew summary:"}], "model": "gpt-4", "n": 1, "stream": - false, "temperature": 0.7}' + using it unless you''re told to give your final answer\n\nThis is the expect + criteria for your final answer: The final answer \n you MUST return the actual + complete content as the final answer, not a summary.\n\nBegin! This is VERY + important to you, use the tools available and give your best Final Answer, your + job depends on it!\n\nThought: \nSince I am required to use the `get_final_answer` + tool, I need to prepare an input that would be processed by this tool. \n\nAction: + get_final_answer\nAction Input: {\"input\": \"test input\"}\nObservation: \nI + encountered an error while trying to use the tool. This was the error: test_agent_remembers_output_format_after_using_tools_too_many_times..get_final_answer() + got an unexpected keyword argument ''input''.\n Tool get_final_answer accepts + there inputs: get_final_answer(anything: str) -> float - Get the final answer + but don''t give it yet, just re-use this\n tool non-stop..\nMoving on + then. I MUST either use a tool (use one at time) OR give my best final answer. + To Use the following format:\n\nThought: you should always think about what + to do\nAction: the action to take, should be one of [get_final_answer]\nAction + Input: the input to the action, dictionary\nObservation: the result of the action\n... + (this Thought/Action/Action Input/Observation can repeat N times)\nThought: + I now can give a great answer\nFinal Answer: my best complete final answer to + the task.\nYour final answer must be the great and the most complete as possible, + it must be outcome described\n\n \nThought: \nThe error message indicates that + the \"get_final_answer\" tool doesn''t accept ''input'' as a valid keyword argument. + The tool description says it should take a string, so I''ll provide a string + as the argument.\n\nAction: get_final_answer\nAction Input: {\"anything\": \"test + input\"}\nObservation: 42\n"}], "model": "gpt-4", "n": 1, "stop": ["\nObservation"], + "stream": true, 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I MUST either use a tool (use one at time) OR give my best final answer. + To Use the following format:\n\nThought: you should always think about what + to do\nAction: the action to take, should be one of [get_final_answer]\nAction + Input: the input to the action, dictionary\nObservation: the result of the action\n... + (this Thought/Action/Action Input/Observation can repeat N times)\nThought: + I now can give a great answer\nFinal Answer: my best complete final answer to + the task.\nYour final answer must be the great and the most complete as possible, + it must be outcome described\n\n \nThought: \nThe error message indicates that + the \"get_final_answer\" tool doesn''t accept ''input'' as a valid keyword argument. + The tool description says it should take a string, so I''ll provide a string + as the argument.\n\nAction: get_final_answer\nAction Input: {\"anything\": \"test + input\"}\nObservation: 42\nThought: \nI have successfully used the \"get_final_answer\" + tool and got a result of 42. 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But don''t give it until I tell you so, instead keep using the + `get_final_answer` tool.\n\nThis is the expect criteria for your final answer: + The final answer \n you MUST return the actual complete content as the final + answer, not a summary.\n\nBegin! 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+ + + data: {"id":"chatcmpl-8yMRDLOXaIrgcYfr0HbB2LvaOfkmj","object":"chat.completion.chunk","created":1709396623,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]} data: [DONE] @@ -1197,7 +509,7 @@ interactions: CF-Cache-Status: - DYNAMIC CF-RAY: - - 8586da3efd960195-GRU + - 85e2bb9e9c0b011b-GRU Cache-Control: - no-cache, must-revalidate Connection: @@ -1205,7 +517,7 @@ interactions: Content-Type: - text/event-stream Date: - - Tue, 20 Feb 2024 12:46:28 GMT + - Sat, 02 Mar 2024 16:23:43 GMT Server: - cloudflare Transfer-Encoding: @@ -1219,7 +531,7 @@ interactions: openai-organization: - crewai-iuxna1 openai-processing-ms: - - '322' + - '314' openai-version: - '2020-10-01' strict-transport-security: @@ -1231,31 +543,40 @@ interactions: x-ratelimit-remaining-requests: - '9999' x-ratelimit-remaining-tokens: - - '299352' + - '299625' x-ratelimit-reset-requests: - 6ms x-ratelimit-reset-tokens: - - 129ms + - 74ms x-request-id: - - req_5e28fa5f92c524c2499ba99f2c688f25 + - req_912e1cafa8d79200bee9c5a2a0412e4d status: code: 200 message: OK - request: - body: '{"messages": [{"role": "user", "content": "Progressively summarize the - lines of conversation provided, adding onto the previous summary returning a - new summary.\n\nEXAMPLE\nCurrent summary:\nThe human asks what the AI thinks - of artificial intelligence. The AI thinks artificial intelligence is a force - for good.\n\nNew lines of conversation:\nHuman: Why do you think artificial - intelligence is a force for good?\nAI: Because artificial intelligence will - help humans reach their full potential.\n\nNew summary:\nThe human asks what - the AI thinks of artificial intelligence. The AI thinks artificial intelligence - is a force for good because it will help humans reach their full potential.\nEND - OF EXAMPLE\n\nCurrent summary:\n\n\nNew lines of conversation:\nHuman: Use tool + body: '{"messages": [{"role": "user", "content": "You are test role. test backstory\nYour + personal goal is: test goal\n\nYou ONLY have access to the following tools, + and should NEVER make up tools that are not listed here:\n\nget_final_answer: + get_final_answer(anything: str) -> float - Get the final answer but don''t give + it yet, just re-use this\n tool non-stop.\n\nUse the following format:\n\nThought: + you should always think about what to do\nAction: the action to take, only one + name of [get_final_answer], just the name, exactly as it''s written.\nAction + Input: the input to the action, just a simple a python dictionary using \" to + wrap keys and values.\nObservation: the result of the action\n\nOnce all necessary + information is gathered:\n\nThought: I now know the final answer\nFinal Answer: + the final answer to the original input question\n\n\nCurrent Task: Use tool logic for `get_final_answer` but fon''t give you final answer yet, instead keep - using it unless you''re told to give your final answer\nAI: The result of using - the `get_final_answer` tool with the input \"test input\" is 42.\n\nNew summary:"}], - "model": "gpt-4", "n": 1, "stream": false, "temperature": 0.7}' + using it unless you''re told to give your final answer\n\nThis is the expect + criteria for your final answer: The final answer \n you MUST return the actual + complete content as the final answer, not a summary.\n\nBegin! 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x-request-id: - - req_7539d46b7855a2d1bd2c13daab57e523 + - req_f5bd7cbe08520ed3e873306467b0919c status: code: 200 message: OK diff --git a/tests/cassettes/test_agent_step_callback.yaml b/tests/cassettes/test_agent_step_callback.yaml index e001ddb87..5f3ccfde3 100644 --- a/tests/cassettes/test_agent_step_callback.yaml +++ b/tests/cassettes/test_agent_step_callback.yaml @@ -1,30 +1,22 @@ interactions: - request: - body: '{"messages": [{"role": "user", "content": "You are test role.\ntest backstory\n\nYour - personal goal is: test goalYou have access to ONLY the following tools, use - one at time:\n\nlearn_about_AI: learn_about_AI(topic) -> float - Useful for - when you need to learn about AI to write an paragraph about it.\nDelegate work - to co-worker: Delegate work to co-worker(coworker: str, task: str, context: - str) - Delegate a specific task to one of the following co-workers:\n.\nThe - input to this tool should be the role of the coworker, the task you want them - to do, and ALL necessary context to exectue the task, they know nothing about - the task, so share absolute everything you know, don''t reference things but - instead explain them.\nAsk question to co-worker: Ask question to co-worker(coworker: - str, question: str, context: str) - Ask a specific question to one of the following - co-workers:\n.\nThe input to this tool should be the role of the coworker, the - question you have for them, and ALL necessary context to ask the question properly, - they know nothing about the question, so share absolute everything you know, - don''t reference things but instead explain them.\n\nTo use a tool you MUST - use the exact following format:\n\n```\nUse Tool: the tool you wanna use, should - be one of [learn_about_AI, Delegate work to co-worker, Ask question to co-worker] - and absolute all relevant input and context for using the tool, you must use - only one tool at once.\nResult: [result of the tool]\n```\n\nTo complete the - task you MUST follow the format:\n\n```\nFinal Answer: [THE MOST COMPLETE ANSWE - WITH ALL CONTEXT, DO NOT LEAVE ANYTHING OUT]\n``` You must use these formats, - my life depends on it.This is the summary of your work so far:\nBegin! This - is VERY important to you, your job depends on it!\n\nCurrent Task: Write and - then review an small paragraph on AI until it''s AMAZING\n"}], "model": "gpt-4", - "n": 1, "stop": ["\nResult"], "stream": true, "temperature": 0.7}' + body: '{"messages": [{"role": "user", "content": "You are test role. test backstory\nYour + personal goal is: test goal\n\nYou ONLY have access to the following tools, + and should NEVER make up tools that are not listed here:\n\nlearn_about_AI: + learn_about_AI(topic) -> float - Useful for when you need to learn about AI + to write an paragraph about it.\n\nUse the following format:\n\nThought: you + should always think about what to do\nAction: the action to take, only one name + of [learn_about_AI], just the name, exactly as it''s written.\nAction Input: + the input to the action, just a simple a python dictionary using \" to wrap + keys and values.\nObservation: the result of the action\n\nOnce all necessary + information is gathered:\n\nThought: I now know the final answer\nFinal Answer: + the final answer to the original input question\n\n\nCurrent Task: Write and + then review an small paragraph on AI until it''s AMAZING\n\nThis is the expect + criteria for your final answer: The final paragraph. \n you MUST return the + actual complete content as the final answer, not a summary.\n\nBegin! This is + VERY important to you, use the tools available and give your best Final Answer, + your job depends on it!\n\nThought: \n"}], "model": "gpt-4", "n": 1, "stop": + ["\nObservation"], "stream": true, "temperature": 0.7}' headers: accept: - application/json @@ -33,7 +25,7 @@ interactions: connection: - keep-alive content-length: - - '1959' + - '1298' content-type: - application/json host: @@ -58,50 +50,192 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: 'data: {"id":"chatcmpl-8uANpooy3Ox6mEcxusflRPJr667VM","object":"chat.completion.chunk","created":1708396973,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]} + string: 'data: 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You are + a seasoned manager with a knack for getting the best out of your team.\nYou + are also known for your ability to delegate work to the right people, and to + ask the right questions to get the best out of your team.\nEven though you don''t + perform tasks by yourself, you have a lot of experience in the field, which + allows you to properly evaluate the work of your team members.\nYour personal + goal is: Manage the team to complete the task in the best way possible.\n\nYou + ONLY have access to the following tools, and should NEVER make up tools that + are not listed here:\n\nDelegate work to co-worker: Delegate work to co-worker(coworker: str, task: str, context: str) - Delegate a specific task to one of the following - co-workers: - Researcher\nThe input to this tool should be the coworker, the - task you want them to do, and ALL necessary context to exectue the task, they - know nothing about the task, so share absolute everything you know, don''t reference - things but instead explain them.\nTool Arguments: {''coworker'': {''type'': - ''string''}, ''task'': {''type'': ''string''}, ''context'': {''type'': ''string''}}\n--\nTool - Name: ask question to co-worker\nTool Description: Ask question to co-worker(coworker: - str, question: str, context: str) - Ask a specific question to one of the following - co-workers: - Researcher\nThe input to this tool should be the coworker, the - question you have for them, and ALL necessary context to ask the question properly, - they know nothing about the question, so share absolute everything you know, - don''t reference things but instead explain them.\nTool Arguments: {''coworker'': - {''type'': ''string''}, ''question'': {''type'': ''string''}, ''context'': {''type'': - ''string''}}\n\nReturn a valid schema for the tool, the tool name must be exactly - equal one of the options, use this text to inform the valid ouput schema:\n\nUse - Tool: Delegate work to co-worker\ncoworker: Researcher\ntask: say howdy\ncontext: - We need to greet someone in a friendly, informal way. The term \"howdy\" is - a casual greeting often used in the United States, particularly in the southern - and western regions. It''s a contraction of \"how do you do\", and it''s equivalent - to saying \"hello\". The task is to simply say \"howdy\".```"}, {"role": "system", - "content": "The schema should have the following structure, only two keys:\n- - tool_name: str\n- arguments: dict (with all arguments being passed)\n\nExample:\n{\"tool_name\": - \"tool name\", \"arguments\": {\"arg_name1\": \"value\", \"arg_name2\": 2}}"}], - "model": "gpt-4", "tool_choice": {"type": "function", "function": {"name": "InstructorToolCalling"}}, - "tools": [{"type": "function", "function": {"name": "InstructorToolCalling", - "description": "Correctly extracted `InstructorToolCalling` with all the required - parameters with correct types", "parameters": {"properties": {"tool_name": {"description": - "The name of the tool to be called.", "title": "Tool Name", "type": "string"}, - "arguments": {"anyOf": [{"type": "object"}, {"type": "null"}], "description": - "A dictinary of arguments to be passed to the tool.", "title": "Arguments"}}, - "required": ["arguments", "tool_name"], "type": "object"}}}]}' + co-workers: [''Researcher'']\nThe input to this tool should be the coworker, + the task you want them to do, and ALL necessary context to exectue the task, + they know nothing about the task, so share absolute everything you know, don''t + reference things but instead explain them.\nAsk question to co-worker: Ask question + to co-worker(coworker: str, question: str, context: str) - Ask a specific question + to one of the following co-workers: [''Researcher'']\nThe input to this tool + should be the coworker, the question you have for them, and ALL necessary context + to ask the question properly, they know nothing about the question, so share + absolute everything you know, don''t reference things but instead explain them.\n\nUse + the following format:\n\nThought: you should always think about what to do\nAction: + the action to take, only one name of [Delegate work to co-worker, Ask question + to co-worker], just the name, exactly as it''s written.\nAction Input: the input + to the action, just a simple a python dictionary using \" to wrap keys and values.\nObservation: + the result of the action\n\nOnce all necessary information is gathered:\n\nThought: + I now know the final answer\nFinal Answer: the final answer to the original + input question\n\n\nCurrent Task: Ask the researched to say hi!\n\nThis is the + expect criteria for your final answer: Howdy! \n you MUST return the actual + complete content as the final answer, not a summary.\n\nBegin! 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'*/*' @@ -371,7 +299,7 @@ interactions: Connection: - keep-alive Content-Length: - - '5189' + - '1620' Content-Type: - application/x-protobuf User-Agent: @@ -387,35 +315,59 @@ interactions: Content-Type: - application/x-protobuf Date: - - Wed, 28 Feb 2024 05:32:48 GMT + - Sat, 02 Mar 2024 16:24:30 GMT status: code: 200 message: OK - request: - body: '{"messages": [{"role": "user", "content": "You are test role2.\ntest backstory2\n\nYour - personal goal is: test goal2I have access to ONLY the following tools, I can - use only these, use one at time:\n\nDelegate work to co-worker: Delegate work - to co-worker(coworker: str, task: str, context: str) - Delegate a specific task - to one of the following co-workers: - test role\nThe input to this tool should - be the coworker, the task you want them to do, and ALL necessary context to - exectue the task, they know nothing about the task, so share absolute everything - you know, don''t reference things but instead explain them.\nAsk question to - co-worker: Ask question to co-worker(coworker: str, question: str, context: - str) - Ask a specific question to one of the following co-workers: - test role\nThe - input to this tool should be the coworker, the question you have for them, and - ALL necessary context to ask the question properly, they know nothing about - the question, so share absolute everything you know, don''t reference things - but instead explain them.\n\nTo use a tool I MUST use the exact following format:\n\n```\nUse - Tool: the tool I wanna use, should be one of [Delegate work to co-worker, Ask - question to co-worker] and absolute all relevant input and context for using - the tool, I must use only one tool at once.\nResult: [result of the tool]\n```\n\nTo - give my final answer I''ll use the exact following format:\n\n```\nFinal Answer: - [my expected final answer, entire content of my most complete final answer goes - here]\n```\nI MUST use these formats, my jobs depends on it!\n\nCurrent Task: - Answer accordingly to the context you got.\nThis is the context you''re working - with:\nHi\n\n Begin! This is VERY important to you, your job depends on it!\n\n\n"}], - "model": "gpt-4", "n": 1, "stop": ["\nResult"], "stream": true, "temperature": - 0.7}' + body: '{"messages": [{"role": "user", "content": "You are test role. test backstory\nYour + personal goal is: test goal\n\nYou ONLY have access to the following tools, + and should NEVER make up tools that are not listed here:\n\nDelegate work to + co-worker: Delegate work to co-worker(coworker: str, task: str, context: str) + - Delegate a specific task to one of the following co-workers: [''test role2'']\nThe + input to this tool should be the coworker, the task you want them to do, and + ALL necessary context to exectue the task, they know nothing about the task, + so share absolute everything you know, don''t reference things but instead explain + them.\nAsk question to co-worker: Ask question to co-worker(coworker: str, question: + str, context: str) - Ask a specific question to one of the following co-workers: + [''test role2'']\nThe input to this tool should be the coworker, the question + you have for them, and ALL necessary context to ask the question properly, they + know nothing about the question, so share absolute everything you know, don''t + reference things but instead explain them.\n\nUse the following format:\n\nThought: + you should always think about what to do\nAction: the action to take, only one + name of [Delegate work to co-worker, Ask question to co-worker], just the name, + exactly as it''s written.\nAction Input: the input to the action, just a simple + a python dictionary using \" to wrap keys and values.\nObservation: the result + of the action\n\nOnce all necessary information is gathered:\n\nThought: I now + know the final answer\nFinal Answer: the final answer to the original input + question\n\n\nCurrent Task: Just say hi.\n\nThis is the expect criteria for + your final answer: Your greeting. \n you MUST return the actual complete content + as the final answer, not a summary.\n\nBegin! This is VERY important to you, + use the tools available and give your best Final Answer, your job depends on + it!\n\nThought: \nAs this task is very straightforward and doesn''t require + any input or help from my co-worker, I should go ahead and complete it myself.\n\nAction: + None\n\nAction Input: None\n\nObservation: I encountered an error: Action ''None'' + don''t exist, these are the only available Actions: Delegate work to co-worker: + Delegate work to co-worker(coworker: str, task: str, context: str) - Delegate + a specific task to one of the following co-workers: [''test role2'']\nThe input + to this tool should be the coworker, the task you want them to do, and ALL necessary + context to exectue the task, they know nothing about the task, so share absolute + everything you know, don''t reference things but instead explain them.\nAsk + question to co-worker: Ask question to co-worker(coworker: str, question: str, + context: str) - Ask a specific question to one of the following co-workers: + [''test role2'']\nThe input to this tool should be the coworker, the question + you have for them, and ALL necessary context to ask the question properly, they + know nothing about the question, so share absolute everything you know, don''t + reference things but instead explain them.\nMoving on then. I MUST either use + a tool (use one at time) OR give my best final answer. To Use the following + format:\n\nThought: you should always think about what to do\nAction: the action + to take, should be one of [Delegate work to co-worker, Ask question to co-worker]\nAction + Input: the input to the action, dictionary\nObservation: the result of the action\n... + (this Thought/Action/Action Input/Observation can repeat N times)\nThought: + I now can give a great answer\nFinal Answer: my best complete final answer to + the task.\nYour final answer must be the great and the most complete as possible, + it must be outcome described\n\n \n"}], "model": "gpt-4", "n": 1, "stop": ["\nObservation"], + "stream": true, "temperature": 0.7}' headers: accept: - application/json @@ -424,7 +376,437 @@ interactions: connection: - keep-alive content-length: - - '1846' + - '3787' + content-type: + - application/json + cookie: + - 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openai-processing-ms: + - '292' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '10000' + x-ratelimit-limit-tokens: + - '300000' + x-ratelimit-remaining-requests: + - '9999' + x-ratelimit-remaining-tokens: + - '299383' + x-ratelimit-reset-requests: + - 6ms + x-ratelimit-reset-tokens: + - 123ms + x-request-id: + - req_131905d21022e40ff0dd3082fbdaaa59 status: code: 200 message: OK diff --git a/tests/cassettes/test_agent_without_max_rpm_respet_crew_rpm.yaml b/tests/cassettes/test_agent_without_max_rpm_respet_crew_rpm.yaml index 94187e9a8..a466a5bfe 100644 --- a/tests/cassettes/test_agent_without_max_rpm_respet_crew_rpm.yaml +++ b/tests/cassettes/test_agent_without_max_rpm_respet_crew_rpm.yaml @@ -1,28 +1,16 @@ interactions: - request: - body: '{"messages": [{"role": "user", "content": "You are test role.\ntest backstory\n\nYour - personal goal is: test goalI have access to ONLY the following tools, I 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'*/*' @@ -609,7 +202,7 @@ interactions: Connection: - keep-alive Content-Length: - - '2526' + - '1514' Content-Type: - application/x-protobuf User-Agent: @@ -625,43 +218,32 @@ interactions: Content-Type: - application/x-protobuf Date: - - Wed, 28 Feb 2024 05:32:43 GMT + - Sat, 02 Mar 2024 16:24:00 GMT status: code: 200 message: OK - request: - body: '{"messages": [{"role": "user", "content": "Only tools available:\n###\nTool - Name: get_final_answer\nTool Description: get_final_answer(numbers) -> float - - Get the final answer but don''t give it yet, just re-use this\n tool - non-stop.\nTool Arguments: {''numbers'': {}}\n--\nTool Name: delegate work to - co-worker\nTool Description: Delegate work to co-worker(coworker: str, task: - str, context: str) - Delegate a specific task to one of the following co-workers: - - test role\nThe input to this tool should be the coworker, the task you want - them to do, and ALL necessary context to exectue the task, they know nothing - about the task, so share absolute everything you know, don''t reference things - but instead explain them.\nTool Arguments: {''coworker'': {''type'': ''string''}, - ''task'': {''type'': ''string''}, ''context'': {''type'': ''string''}}\n--\nTool - Name: ask question to co-worker\nTool Description: Ask question to co-worker(coworker: - str, question: str, context: str) - Ask a specific question to one of the following - co-workers: - test role\nThe input to this tool should be the coworker, the - question you have for them, and ALL necessary context to ask the question properly, - they know nothing about the question, so share absolute everything you know, - don''t reference things but instead explain them.\nTool Arguments: {''coworker'': - {''type'': ''string''}, ''question'': {''type'': ''string''}, ''context'': {''type'': - ''string''}}\n\nReturn a valid schema for the tool, the tool name must be exactly - equal one of the options, use this text to inform the valid ouput schema:\n\nUse - Tool: get_final_answer, numbers = [6, 7, 8, 9, 10] ```"}, {"role": "system", - 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Get the final answer but don''t give it + yet, just re-use this\n tool non-stop.\n\nUse the following format:\n\nThought: + you should always think about what to do\nAction: the action to take, only one + name of [get_final_answer], just the name, exactly as it''s written.\nAction + Input: the input to the action, just a simple a python dictionary using \" to + wrap keys and values.\nObservation: the result of the action\n\nOnce all necessary + information is gathered:\n\nThought: I now know the final answer\nFinal Answer: + the final answer to the original input question\n\n\nCurrent Task: NEVER give + a Final Answer, instead keep using the `get_final_answer` tool non-stop\n\nThis + is the expect criteria for your final answer: The final answer \n you MUST return + the actual complete content as the final answer, not a summary.\n\nThis is the + context you''re working with:\nHello, Hi!\n\nBegin! This is VERY important to + you, use the tools available and give your best Final Answer, your job depends + on it!\n\nThought: \nTool won''t be use because it''s time to give your final + answer. Don''t use tools and just your absolute BEST Final answer.\nObservation: + Tool won''t be use because it''s time to give your final answer. Don''t use + tools and just your absolute BEST Final answer.\n"}], "model": "gpt-4", "n": + 1, "stop": ["\nObservation"], "stream": true, "temperature": 0.7}' headers: accept: - application/json @@ -670,12 +252,9 @@ interactions: connection: - keep-alive content-length: - - '2543' + - '1645' content-type: - application/json - cookie: - - __cf_bm=qtx7VOsmijhZo_NzjLfZHXFt4rLXBOnSYXawi6.3Xrc-1709098360-1.0-AaK7u4xsplsxq27wWpsATBKU9qNMYVV75e9vrISvE6MZM5ChF1W/qMS4QWx+ZHwKssh0sxOY9gVmS79F4Cg/Slw=; - _cfuvid=LZcI0TLQ4OmHcydr0FVyrmkxOmSkWC29V5x0nsnkhlA-1709098360429-0.0-604800000 host: - api.openai.com user-agent: @@ -698,32 +277,319 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: !!binary | - IXwMACBW6qx3U+1c7bwhrO4BWBmPDCjrFKK/v2kQEP4G7XE+pq530S+gBMMukIldogkEVJZdq0/z - byorxFe6u3fvAFSlJEBJqRZJa3VntBlM/2w/VKuf9ePVarqs3z4e6teSN/x5Q64DEMd1liw4uZMU - A6diA6FvLj/KUhIIhv7YH4+6gy7xSstppkmACrvo9Dr+IOhyHZZcJdmcBP4dANiPBgB9935MAr67 - 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This is VERY important to you, use + the tools available and give your best Final Answer, your job depends on it!\n\nThought: + \n"}], "model": "gpt-4", "n": 1, "stop": ["\nObservation"], "stream": true, + "temperature": 0.7}' headers: accept: - application/json @@ -16,7 +20,7 @@ interactions: connection: - keep-alive content-length: - - '576' + - '881' content-type: - application/json host: @@ -41,30 +45,232 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: 'data: {"id":"chatcmpl-8x6VCJjr1jrfGEqp8rs8S70MMlNF0","object":"chat.completion.chunk","created":1709097038,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]} + string: 'data: 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- path=/; expires=Wed, 28-Feb-24 05:40:39 GMT; domain=.api.openai.com; HttpOnly; + - __cf_bm=kWjBWTjLtuLL57wtiIGPnz1W_AUrAHEcA445ie2rbIg-1709396981-1.0.1.1-JLvi6DZyKB8U8MN.GpgEupI3_Mx4OY1krKoXLZRKftPUp8EO8JR9z59RcECIes0_EyrWfvt6hSnvCh9j3rHQqA; + path=/; expires=Sat, 02-Mar-24 16:59:41 GMT; domain=.api.openai.com; HttpOnly; Secure; SameSite=None - - _cfuvid=wtrchvMDCF4qH99ZZbYs3XyIWUSjktLudGDSC4IAnro-1709097039247-0.0-604800000; + - _cfuvid=S9QWAyHqLa3ZvyQaB0OLd3ZwInwEVcVTrIjB9dJyJ.Q-1709396981692-0.0.1.1-604800000; path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None Transfer-Encoding: - chunked @@ -103,7 +309,7 @@ interactions: openai-organization: - crewai-iuxna1 openai-processing-ms: - - '163' + - '268' openai-version: - '2020-10-01' strict-transport-security: @@ -115,13 +321,13 @@ interactions: x-ratelimit-remaining-requests: - '9999' x-ratelimit-remaining-tokens: - - '299875' + - '299800' x-ratelimit-reset-requests: - 6ms x-ratelimit-reset-tokens: - - 25ms + - 39ms 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personal goal is: test goalYou have access to ONLY the following tools, use - one at time:\n\nget_final_answer: get_final_answer(anything) -> float - Get - the final answer but don''t give it yet, just re-use this\n tool non-stop.\n\nTo - use a tool you MUST use the exact following format:\n\n```\nUse Tool: the tool - you wanna use, should be one of [get_final_answer] and absolute all relevant - input and context for using the tool, you must use only one tool at once.\nResult: - [result of the tool]\n```\n\nTo give your final answer use the exact following - format:\n\n```\nFinal Answer: [THE MOST COMPLETE ANSWE WITH ALL CONTEXT, DO - NOT LEAVE ANYTHING OUT]\n```\nI MUST use these formats, my jobs depends on it!This - is the summary of your work so far:\n\n\nCurrent Task: Don''t give a Final Answer, - instead keep using the `get_final_answer` tool.\n\n Begin! 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The AI thinks artificial intelligence is a force - for good.\n\nNew lines of conversation:\nHuman: Why do you think artificial - intelligence is a force for good?\nAI: Because artificial intelligence will - help humans reach their full potential.\n\nNew summary:\nThe human asks what - the AI thinks of artificial intelligence. The AI thinks artificial intelligence - is a force for good because it will help humans reach their full potential.\nEND - OF EXAMPLE\n\nCurrent summary:\n\n\nNew lines of conversation:\nHuman: Don''t - give a Final Answer, instead keep using the `get_final_answer` tool.\nAI: Since - the task explicitly states not to give a Final Answer but instead to keep using - the `get_final_answer` tool, I continued to use the tool with the input provided. - The result returned from the `get_final_answer(anything)` call was `42`. However, - as per the instructions, I should not provide a final answer but continue to - use the tool. 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cloudflare + Transfer-Encoding: + - chunked + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400 + openai-model: + - gpt-4-0613 + openai-organization: + - crewai-iuxna1 + openai-processing-ms: + - '309' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '10000' + x-ratelimit-limit-tokens: + - '300000' + x-ratelimit-remaining-requests: + - '9999' + x-ratelimit-remaining-tokens: + - '299646' + x-ratelimit-reset-requests: + - 6ms + x-ratelimit-reset-tokens: + - 70ms + x-request-id: + - req_a552b8ddf31e603a3a4ce1c0b1235fdf status: code: 200 message: OK diff --git a/tests/cassettes/test_cache_hitting_between_agents.yaml b/tests/cassettes/test_cache_hitting_between_agents.yaml index 922a15306..ea7902f7e 100644 --- a/tests/cassettes/test_cache_hitting_between_agents.yaml +++ b/tests/cassettes/test_cache_hitting_between_agents.yaml @@ -2,26 +2,26 @@ interactions: - request: body: 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16:28:50 GMT status: code: 200 message: OK - request: - body: '{"messages": [{"role": "user", "content": "You are CEO.\nYou''re an long + body: '{"messages": [{"role": "user", "content": "You are CEO. You''re an long time CEO of a content creation agency with a Senior Writer on the team. You''re - now working on a new project and want to make sure the content produced is amazing.\n\nYour - personal goal is: Make sure the writers in your company produce amazing content.I - have access to ONLY the following tools, I can use only these, use one at time:\n\nmultiplier: - multiplier(first_number: int, second_number: int) -> float - Useful for when - you need to multiply two numbers together.\nDelegate work to co-worker: Delegate - work to co-worker(coworker: str, task: str, context: str) - Delegate a specific - task to one of the following co-workers: - Researcher\nThe input to this tool - should be the coworker, the task you want them to do, and ALL necessary context - to exectue the task, they know nothing about the task, so share absolute everything - you know, don''t reference things but instead explain them.\nAsk question to - co-worker: Ask question to co-worker(coworker: str, question: str, context: - str) - Ask a specific question to one of the following co-workers: - Researcher\nThe - input to this tool should be the coworker, the question you have for them, and - ALL necessary context to ask the question properly, they know nothing about - the question, so share absolute everything you know, don''t reference things - but instead explain them.\n\nTo use a tool I MUST use the exact following format:\n\n```\nUse - Tool: the tool I wanna use, should be one of [multiplier, Delegate work to co-worker, - Ask question to co-worker] and absolute all relevant input and context for using - the tool, I must use only one tool at once.\nResult: [result of the tool]\n```\n\nTo - give my final answer I''ll use the exact following format:\n\n```\nFinal Answer: - [my expected final answer, entire content of my most complete final answer goes - here]\n```\nI MUST use these formats, my jobs depends on it!\n\nCurrent Task: - What is 2 tims 6? 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This is VERY important - to you, your job depends on it!\n\n\n"}], "model": "gpt-4", "n": 1, "stop": - ["\nResult"], "stream": true, "temperature": 0.7}' + now working on a new project and want to make sure the content produced is amazing.\nYour + personal goal is: Make sure the writers in your company produce amazing content.\n\nYou + ONLY have access to the following tools, and should NEVER make up tools that + are not listed here:\n\nmultiplier: multiplier(first_number: int, second_number: + int) -> float - Useful for when you need to multiply two numbers together.\nDelegate + work to co-worker: Delegate work to co-worker(coworker: str, task: str, context: + str) - Delegate a specific task to one of the following co-workers: [''Researcher'']\nThe + input to this tool should be the coworker, the task you want them to do, and + ALL necessary context to exectue the task, they know nothing about the task, + so share absolute everything you know, don''t reference things but instead explain + them.\nAsk question to co-worker: Ask question to co-worker(coworker: str, question: + str, context: str) - Ask a specific question to one of the following co-workers: + [''Researcher'']\nThe input to this tool should be the coworker, the question + you have for them, and ALL necessary context to ask the question properly, they + know nothing about the question, so share absolute everything you know, don''t + reference things but instead explain them.\n\nUse the following format:\n\nThought: + you should always think about what to do\nAction: the action to take, only one + name of [multiplier, Delegate work to co-worker, Ask question to co-worker], + just the name, exactly as it''s written.\nAction Input: the input to the action, + just a simple a python dictionary using \" to wrap keys and values.\nObservation: + the result of the action\n\nOnce all necessary information is gathered:\n\nThought: + I now know the final answer\nFinal Answer: the final answer to the original + input question\n\n\nCurrent Task: What is 2 tims 6? Return only the number.\n\nThis + is the expect criteria for your final answer: the result of multiplication \n + you MUST return the actual complete content as the final answer, not a summary.\n\nBegin! + This is VERY important to you, use the tools available and give your best Final + Answer, your job depends on it!\n\nThought: \n"}], "model": "gpt-4", "n": 1, + "stop": ["\nObservation"], "stream": true, "temperature": 0.7}' headers: accept: - application/json @@ -92,11 +95,12 @@ interactions: connection: - keep-alive content-length: - - '2153' + - '2409' content-type: - application/json cookie: - - _cfuvid=2Li2mwNxK5ctJ8_5ybQsYkjOrJgCr4EJr7YIHiLITgk-1708397184387-0.0-604800000 + - __cf_bm=MTajoIexLtBizocSwJBUIGQTThASuFz__4b1yj9RQeo-1709396806-1.0.1.1-mkhKhtRv41LuQ.AaTwP.0E4PontGc6q0l2FDihqa4vduMmaIIMq_jlr3npGpfv9Bc7UcunAQh7FUtvnH3OualQ; + _cfuvid=0i0QIUrsg1hFSjRkYRPh4zHTPRoYo5qYjrLN9tQoSiY-1709396806336-0.0.1.1-604800000 host: - api.openai.com user-agent: @@ -119,85 +123,260 @@ 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This is VERY important to - you, your job depends on it!\n\n\n"}], "model": "gpt-4", "n": 1, "stop": ["\nResult"], + now working on a new project and want to make sure the content produced is amazing.\nYour + personal goal is: Make sure the writers in your company produce amazing content.\n\nYou + ONLY have access to the following tools, and should NEVER make up tools that + are not listed here:\n\nmultiplier: multiplier(first_number: int, second_number: + int) -> float - Useful for when you need to multiply two numbers together.\nDelegate + work to co-worker: Delegate work to co-worker(coworker: str, task: str, context: + str) - Delegate a specific task to one of the following co-workers: [''Researcher'']\nThe + input to this tool should be the coworker, the task you want them to do, and + ALL necessary context to exectue the task, they know nothing about the task, + so share absolute everything you know, don''t reference things but instead explain + them.\nAsk question to co-worker: Ask question to co-worker(coworker: str, question: + str, context: str) - Ask a specific question to one of the following co-workers: + [''Researcher'']\nThe input to this tool should be the coworker, the question + you have for them, and ALL necessary context to ask the question properly, they + know nothing about the question, so share absolute everything you know, don''t + reference things but instead explain them.\n\nUse the following format:\n\nThought: + you should always think about what to do\nAction: the action to take, only one + name of [multiplier, Delegate work to co-worker, Ask question to co-worker], + just the name, exactly as it''s written.\nAction Input: the input to the action, + just a simple a python dictionary using \" to wrap keys and values.\nObservation: + the result of the action\n\nOnce all necessary information is gathered:\n\nThought: + I now know the final answer\nFinal Answer: the final answer to the original + input question\n\n\nCurrent Task: What is 2 tims 6? Return only the number.\n\nThis + is the expect criteria for your final answer: the result of multiplication \n + you MUST return the actual complete content as the final answer, not a summary.\n\nBegin! + This is VERY important to you, use the tools available and give your best Final + Answer, your job depends on it!\n\nThought: \nThe task at hand is to find the + product of 2 and 6. Since I have the tool ''multiplier'' which multiplies two + numbers, I can directly use it without needing to delegate or ask questions + to a co-worker.\n\nAction: multiplier\nAction Input: {\"first_number\": 2, \"second_number\": + 6}\n\nObservation: 12\n"}], "model": "gpt-4", "n": 1, "stop": ["\nObservation"], "stream": true, "temperature": 0.7}' headers: accept: @@ -557,12 +474,12 @@ interactions: connection: - keep-alive content-length: - - '1317' + - '2710' content-type: - application/json cookie: - - __cf_bm=KmSBo_29HOPXCYQ.4cevPl2ZulgTRGOjS3OBYqpsSQs-1709098370-1.0-AZ9cLP04I+WgKXwsplEBufwf+zbVNpxyfp4O5xltMSSb8kJM0JVa8bm0T/+74846zP+k0/NjUzAjw2Q6wjYQANU=; - _cfuvid=p5VZcYl.L.yel4MnHSGQpMnUjFOxBxREczaInoX.VWQ-1709098370845-0.0-604800000 + - __cf_bm=MTajoIexLtBizocSwJBUIGQTThASuFz__4b1yj9RQeo-1709396806-1.0.1.1-mkhKhtRv41LuQ.AaTwP.0E4PontGc6q0l2FDihqa4vduMmaIIMq_jlr3npGpfv9Bc7UcunAQh7FUtvnH3OualQ; + _cfuvid=0i0QIUrsg1hFSjRkYRPh4zHTPRoYo5qYjrLN9tQoSiY-1709396806336-0.0.1.1-604800000 host: - 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CF-Cache-Status: - DYNAMIC CF-RAY: - - 85c651186ec91af6-GRU + - 85e2c3293a1d1d0f-GRU Cache-Control: - no-cache, must-revalidate Connection: - keep-alive - Content-Encoding: - - br Content-Type: - - application/json + - text/event-stream Date: - - Wed, 28 Feb 2024 05:37:39 GMT + - Sat, 02 Mar 2024 16:28:52 GMT Server: - cloudflare Transfer-Encoding: @@ -831,7 +849,7 @@ interactions: openai-organization: - crewai-iuxna1 openai-processing-ms: - - '910' + - '272' openai-version: - '2020-10-01' strict-transport-security: @@ -843,38 +861,39 @@ interactions: x-ratelimit-remaining-requests: - '9999' x-ratelimit-remaining-tokens: - - '299804' + - '299631' x-ratelimit-reset-requests: - 6ms x-ratelimit-reset-tokens: - - 39ms + - 73ms x-request-id: - - req_b19b2c49eed8d3ccb479081e4f668f54 + - req_8814a7cb3b19d4e62a7972bbdbd5b3d8 status: code: 200 message: OK - request: - body: '{"messages": [{"role": "user", "content": "You are Researcher.\nYou''re + body: '{"messages": [{"role": "user", "content": "You are Researcher. You''re an expert researcher, specialized in technology, software engineering, AI and startups. You work as a freelancer and is now working on doing research and - analysis for a new customer.\n\nYour personal goal is: Make the best research - and analysis on content about AI and AI agentsI have access to ONLY the following - tools, I can use only these, use one at time:\n\nmultiplier: multiplier(first_number: - int, second_number: int) -> float - Useful for when you need to multiply two - numbers together.\n\nTo use a tool I MUST use the exact following format:\n\n```\nUse - Tool: the tool I wanna use, should be one of [multiplier] and absolute all relevant - input and context for using the tool, I must use only one tool at once.\nResult: - [result of the tool]\n```\n\nTo give my final answer I''ll use the exact following - format:\n\n```\nFinal Answer: [my expected final answer, entire content of my - most complete final answer goes here]\n```\nI MUST use these formats, my jobs - depends on it!\n\nCurrent Task: What is 2 times 6? Return only the number.\nThis - is the context you''re working with:\n12\n\n Begin! 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Return only the number.\n\nThis is the expect criteria for your final + answer: the result of multiplication \n you MUST return the actual complete + content as the final answer, not a summary.\n\nThis is the context you''re working + with:\n12\n\nBegin! This is VERY important to you, use the tools available and + give your best Final Answer, your job depends on it!\n\nThought: \nI need to + use the multiplier tool to find the product of 2 and 6.\n\nAction: \nmultiplier\n\nAction + Input: \n{\"first_number\": 2, \"second_number\": 6}\n\nObservation: 12\n"}], + "model": "gpt-4", "n": 1, "stop": ["\nObservation"], "stream": true, "temperature": 0.7}' headers: accept: @@ -884,12 +903,12 @@ interactions: connection: - keep-alive content-length: - - '1665' + - '1744' content-type: - application/json cookie: - - __cf_bm=KmSBo_29HOPXCYQ.4cevPl2ZulgTRGOjS3OBYqpsSQs-1709098370-1.0-AZ9cLP04I+WgKXwsplEBufwf+zbVNpxyfp4O5xltMSSb8kJM0JVa8bm0T/+74846zP+k0/NjUzAjw2Q6wjYQANU=; - _cfuvid=p5VZcYl.L.yel4MnHSGQpMnUjFOxBxREczaInoX.VWQ-1709098370845-0.0-604800000 + - __cf_bm=UAh.sgPFwOiApMKmZ9czNgK5hsRYJODOYRRTK9jQDD4-1709396719-1.0.1.1-WdOKOHNYyHjCTKCTuzRhMQtf35KzmKCZkLBAT07Gdew6O0P2SrV_XoX3iVjjF7PYIImlSaomkD8cxaOTOR_LpA; + _cfuvid=zVKnitRNLhrt8b2P3MHGfXS_82YiqkGpi46seIwshAM-1709396719694-0.0.1.1-604800000 host: - 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req_06762f5bedd260cb2740a35c45c78e4e + - req_b5fd5a293909548e8b3c57ba4425dd08 status: code: 200 message: OK diff --git a/tests/cassettes/test_crew_function_calling_llm.yaml b/tests/cassettes/test_crew_function_calling_llm.yaml index a99145b2e..2471a2a47 100644 --- a/tests/cassettes/test_crew_function_calling_llm.yaml +++ b/tests/cassettes/test_crew_function_calling_llm.yaml @@ -1,31 +1,22 @@ interactions: - request: - body: '{"messages": [{"role": "user", "content": "You are test role.\ntest backstory\n\nYour - personal goal is: test goalYou have access to ONLY the following tools, use - one at time:\n\nlearn_about_AI: learn_about_AI(topic) -> float - Useful for - when you need to learn about AI to write an paragraph about it.\nDelegate work - to co-worker: Delegate work to co-worker(coworker: str, task: str, context: - str) - Delegate a specific task to one of the following co-workers:\n.\nThe - input to this tool should be the role of the coworker, the task you want them - to do, and ALL necessary context to exectue the task, they know nothing about - the task, so share absolute everything you know, don''t reference things but - instead explain them.\nAsk question to co-worker: Ask question to co-worker(coworker: - str, question: str, context: str) - Ask a specific question to one of the following - co-workers:\n.\nThe input to this tool should be the role of the coworker, the - question you have for them, and ALL necessary context to ask the question properly, - they know nothing about the question, so share absolute everything you know, - don''t reference things but instead explain them.\n\nTo use a tool you MUST - use the exact following format:\n\n```\nUse Tool: the tool you wanna use, should - be one of [learn_about_AI, Delegate work to co-worker, Ask question to co-worker] - and absolute all relevant input and context for using the tool, you must use - only one tool at once.\nResult: [result of the tool]\n```\n\nTo give your final - answer use the exact 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This is VERY important to you, your job depends on it!\n\n\n"}], "model": - "gpt-4-0125-preview", "n": 1, "stop": ["\nResult"], "stream": true, "temperature": - 0.7}' + body: '{"messages": [{"role": "user", "content": "You are test role. test backstory\nYour + personal goal is: test goal\n\nYou ONLY have access to the following tools, + and should NEVER make up tools that are not listed here:\n\nlearn_about_AI: + learn_about_AI(topic) -> float - Useful for when you need to learn about AI + to write an paragraph about it.\n\nUse the following format:\n\nThought: you + should always think about what to do\nAction: the action to take, only one name + of [learn_about_AI], just the name, exactly as it''s written.\nAction Input: + the input to the action, just a simple a python dictionary using \" to wrap + keys and values.\nObservation: the result of the action\n\nOnce all necessary + information is gathered:\n\nThought: I now know the final answer\nFinal Answer: + the final answer to the original input question\n\n\nCurrent Task: Write and + then review an small paragraph on AI until it''s AMAZING\n\nThis is the expect + criteria for your final answer: A 4 paragraph article about AI. \n you MUST + return the actual complete content as the final answer, not a summary.\n\nBegin! + This is VERY important to you, use the tools available and give your best Final + Answer, your job depends on it!\n\nThought: \n"}], "model": "gpt-4-0125-preview", + "n": 1, "stop": ["\nObservation"], "stream": true, "temperature": 0.7}' headers: accept: - application/json @@ -34,7 +25,7 @@ interactions: connection: - keep-alive content-length: - - '1989' + - '1322' content-type: - application/json host: @@ -59,50 +50,215 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: 'data: 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action, just a simple a python dictionary using \" to wrap + keys and values.\nObservation: the result of the action\n\nOnce all necessary + information is gathered:\n\nThought: I now know the final answer\nFinal Answer: + the final answer to the original input question\n\n\nCurrent Task: Write and + then review an small paragraph on AI until it''s AMAZING\n\nThis is the expect + criteria for your final answer: A 4 paragraph article about AI. \n you MUST + return the actual complete content as the final answer, not a summary.\n\nBegin! + This is VERY important to you, use the tools available and give your best Final + Answer, your job depends on it!\n\nThought: \nThought: Before I can write an + amazing article about AI, I need to understand the basics of AI, its applications, + and ethical considerations to ensure that the content is well-rounded and informative.\n\nAction: + learn_about_AI\nAction Input: {\"topic\": \"basics of AI\"}\nObservation: AI + is a very broad field.\n"}], 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The current + trend in this field is towards generating synthetic data to train deep learning + models when real-world data is scarce or sensitive.\n\nGenerative Adversarial + Networks (GANs) are at the forefront of this advancement. These networks comprise + two parts: a generator, which produces images, and a discriminator, which distinguishes + real images from fake ones. These networks have been used to create deepfakes + or synthetic media, which is a significant ethical concern.\n\n3. Natural Language + Processing (NLP):\n\nNLP enables computers to understand and process human language. + The latest advancement in this field is the development of Transformers, a model + architecture introduced by Google. This architecture, used in models like BERT + and GPT-3, has greatly improved the understanding and generation of human-like + text by AI.\n\n4. Robotics:\n\nRobotic Process Automation (RPA) is a significant + trend in AI. 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For instance, + we have seen the development of Generative Adversarial Networks (GANs) that + can create new content from scratch. Deep learning algorithms have also improved, + allowing computers to learn from unstructured data. Reinforcement learning algorithms + are now being used to train AI agents to improve their performance over time. + In addition, the development of Natural Language Processing (NLP) has advanced + AI\u2019s ability to understand and interact in human language. \n\nAI in Software + Engineering:\nIn software engineering, AI is being used to automate routine + tasks, predict software defects, and improve software quality. Tools like Kite + use AI to provide coding assistance, while others like DeepCode analyze code + for potential bugs and security vulnerabilities. AI is also being used in software + testing to identify potential issues and automate test cases.\n\nAI in Various + Industries:\nAI has found applications in several industries. 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You''re an long time CEO of a content creation agency with a Senior Writer on the team. You''re - now working on a new project and want to make sure the content produced is amazing.\n\nYour - personal goal is: Make sure the writers in your company produce amazing content.To - complete the task you MUST follow the format:\n\n```\nFinal Answer: [your most - complete final answer goes here]\n``` You must use these formats, my life depends - on it.This is the summary of your work so far:\nBegin! This is VERY important - to you, your job depends on it!\n\nCurrent Task: Produce and amazing 1 paragraph - draft of an article about AI Agents.\nYour final answer must be: A 4 paragraph - article about AI.\n"}], "model": "gpt-4", "n": 1, "stop": ["\nResult"], "stream": - true, "temperature": 0.7}' + now working on a new project and want to make sure the content produced is amazing.\nYour + personal goal is: Make sure the writers in your company produce amazing content.\n\nYou + ONLY have access to the following tools, and should NEVER make up tools that + are not listed here:\n\nDelegate work to co-worker: Delegate work to co-worker(coworker: + str, task: str, context: str) - Delegate a specific task to one of the following + co-workers: [''Senior Writer'']\nThe input to this tool should be the coworker, + the task you want them to do, and ALL necessary context to exectue the task, + they know nothing about the task, so share absolute everything you know, don''t + reference things but instead explain them.\nAsk question to co-worker: Ask question + to co-worker(coworker: str, question: str, context: str) - Ask a specific question + to one of the following co-workers: [''Senior Writer'']\nThe input to this tool + should be the coworker, the question you have for them, and ALL necessary context + to ask the question properly, they know nothing about the question, so share + absolute everything you know, don''t reference things but instead explain them.\n\nUse + the following format:\n\nThought: you should always think about what to do\nAction: + the action to take, only one name of [Delegate work to co-worker, Ask question + to co-worker], just the name, exactly as it''s written.\nAction Input: the input + to the action, just a simple a python dictionary using \" to wrap keys and values.\nObservation: + the result of the action\n\nOnce all necessary information is gathered:\n\nThought: + I now know the final answer\nFinal Answer: the final answer to the original + input question\n\n\nCurrent Task: Produce and amazing 1 paragraph draft of an + article about AI Agents.\n\nThis is the expect criteria for your final answer: + A 4 paragraph article about AI. \n you MUST return the actual complete content + as the final answer, not a summary.\n\nBegin! This is VERY important to you, + use the tools available and give your best Final Answer, your job depends on + it!\n\nThought: \n"}], "model": "gpt-4", "n": 1, "stop": ["\nObservation"], + "stream": true, "temperature": 0.7}' headers: accept: - application/json @@ -96,7 +115,7 @@ interactions: connection: - keep-alive content-length: - - '832' + - '2300' content-type: - application/json host: @@ -121,1052 +140,672 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: 'data: {"id":"chatcmpl-8uARDVRRvTy7pxjFMBtBDdGmB94EK","object":"chat.completion.chunk","created":1708397183,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]} + string: 'data: 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You are a seasoned manager with a knack for getting the best out of your team.\nYou are also known for your ability to delegate work to the right people, and to ask the right questions to get the best out of your team.\nEven though you don''t perform tasks by yourself, you have a lot of experience in the field, which - allows you to properly evaluate the work of your team members.\n\nYour personal - goal is: Manage the team to complete the task in the best way possible.I have - access to ONLY the following tools, I can use only these, use one at time:\n\nDelegate - work to co-worker: Delegate work to co-worker(coworker: str, task: str, context: - str) - Delegate a specific task to one of the following co-workers: - Researcher\n- - Senior Writer\nThe input to this tool should be the coworker, the task you want - them to do, and ALL necessary context to exectue the task, they know nothing - about the task, so share absolute everything you know, don''t reference things - but instead explain them.\nAsk question to co-worker: Ask question to co-worker(coworker: - str, question: str, context: str) - Ask a specific question to one of the following - co-workers: - Researcher\n- Senior Writer\nThe input to this tool should be - the coworker, the question you have for them, and ALL necessary context to ask - the question properly, they know nothing about the question, so share absolute - everything you know, don''t reference things but instead explain them.\n\nTo - use a tool I MUST use the exact following format:\n\n```\nUse Tool: the tool - I wanna use, should be one of [Delegate work to co-worker, Ask question to co-worker] - and absolute all relevant input and context for using the tool, I must use only - one tool at once.\nResult: [result of the tool]\n```\n\nTo give my final answer - I''ll use the exact following format:\n\n```\nFinal Answer: [my expected final - answer, entire content of my most complete final answer goes here]\n```\nI MUST - use these formats, my jobs depends on it!\n\nCurrent Task: Come up with a list - of 5 interesting ideas to explore for an article, then write one amazing paragraph - highlight for each idea that showcases how good an article about this topic - could be. 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This is VERY important to you, your job depends on it!\n\n\n"}], "model": - "gpt-4", "n": 1, "stop": ["\nResult"], "stream": true, "temperature": 0.0}' + allows you to properly evaluate the work of your team members.\nYour personal + goal is: Manage the team to complete the task in the best way possible.\n\nYou + ONLY have access to the following tools, and should NEVER make up tools that + are not listed here:\n\nDelegate work to co-worker: Delegate work to co-worker(coworker: + str, task: str, context: str) - Delegate a specific task to one of the following + co-workers: [''Researcher'', ''Senior Writer'']\nThe input to this tool should + be the coworker, the task you want them to do, and ALL necessary context to + exectue the task, they know nothing about the task, so share absolute everything + you know, don''t reference things but instead explain them.\nAsk question to + co-worker: Ask question to co-worker(coworker: str, question: str, context: + str) - Ask a specific question to one of the following co-workers: [''Researcher'', + ''Senior Writer'']\nThe input to this tool should be the coworker, the question + you have for them, and ALL necessary context to ask the question properly, they + know nothing about the question, so share absolute everything you know, don''t + reference things but instead explain them.\n\nUse the following format:\n\nThought: + you should always think about what to do\nAction: the action to take, only one + name of [Delegate work to co-worker, Ask question to co-worker], just the name, + exactly as it''s written.\nAction Input: the input to the action, just a simple + a python dictionary using \" to wrap keys and values.\nObservation: the result + of the action\n\nOnce all necessary information is gathered:\n\nThought: I now + know the final answer\nFinal Answer: the final answer to the original input + question\n\n\nCurrent Task: Come up with a list of 5 interesting ideas to explore + for an article, then write one amazing paragraph highlight for each idea that + showcases how good an article about this topic could be. 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You are a seasoned manager with a knack for getting the best out of your team.\nYou are also known for your ability to delegate work to the right people, and to ask the right questions to get the best out of your team.\nEven though you don''t perform tasks by yourself, you have a lot of experience in the field, which - allows you to properly evaluate the work of your team members.\n\nYour personal - goal is: Manage the team to complete the task in the best way possible.I have - access to ONLY the following tools, I can use only these, use one at time:\n\nDelegate - work to co-worker: Delegate work to co-worker(coworker: str, task: str, context: - str) - Delegate a specific task to one of the following co-workers: - Researcher\n- - Senior Writer\nThe input to this tool should be the coworker, the task you want - them to do, and ALL necessary context to exectue the task, they know nothing - about the task, so share absolute everything you know, don''t reference things - but instead explain them.\nAsk question to co-worker: Ask question to co-worker(coworker: - str, question: str, context: str) - Ask a specific question to one of the following - co-workers: - Researcher\n- Senior Writer\nThe input to this tool should be - the coworker, the question you have for them, and ALL necessary context to ask - the question properly, they know nothing about the question, so share absolute - everything you know, don''t reference things but instead explain them.\n\nTo - use a tool I MUST use the exact following format:\n\n```\nUse Tool: the tool - I wanna use, should be one of [Delegate work to co-worker, Ask question to co-worker] - and absolute all relevant input and context for using the tool, I must use only - one tool at once.\nResult: [result of the tool]\n```\n\nTo give my final answer - I''ll use the exact following format:\n\n```\nFinal Answer: [my expected final - answer, entire content of my most complete final answer goes here]\n```\nI MUST - use these formats, my jobs depends on it!\n\nCurrent Task: Come up with a list - of 5 interesting ideas to explore for an article, then write one amazing paragraph - highlight for each idea that showcases how good an article about this topic - could be. Return the list of ideas with their paragraph and your notes.\n\n - Begin! This is VERY important to you, your job depends on it!\n\n\nUse Tool: - Delegate work to co-worker\ncoworker: Researcher\ntask: Come up with a list - of 5 interesting ideas to explore for an article\ncontext: We are looking to - create a new article that will engage our readers. The topic of the article - is open-ended, but it should be something that is currently trending or has - a lot of interest. The ideas should be unique and not something that has been - overdone. They can be related to technology, science, culture, or any other - field that you think our readers would be interested in. Please provide a brief - description for each idea explaining why it would make a good article. \nResult: - The five interesting ideas to explore for an article are: \"AI and Climate Change: - A New Hope for Sustainability\", \"AI in Art: How Neural Networks are Revolutionizing - the Artistic Landscape\", \"The Role of AI in the Post-Covid World\", \"Demystifying - AI: Breaking Down Complex AI Concepts for the Everyday Reader\", and \"The Ethical - Dilemmas of AI: Balancing Innovation and Humanity\".\n\nIf I don''t need to - use any more tools, I must make sure use the correct format to give my final - answer:\n\n```Final Answer: [my expected final answer, entire content of my - most complete final answer goes here]```\n I MUST use these formats, my jobs - depends on it!\nUse Tool: Delegate work to co-worker\ncoworker: Senior Writer\ntask: - Write one amazing paragraph highlight for each idea that showcases how good - an article about this topic could be\ncontext: The Researcher has provided us - with five interesting ideas for our next article. They are: \"AI and Climate - Change: A New Hope for Sustainability\", \"AI in Art: How Neural Networks are - Revolutionizing the Artistic Landscape\", \"The Role of AI in the Post-Covid - World\", \"Demystifying AI: Breaking Down Complex AI Concepts for the Everyday - Reader\", and \"The Ethical Dilemmas of AI: Balancing Innovation and Humanity\". - Your task is to write a captivating paragraph for each of these ideas that will - showcase the potential of an article on these topics. The paragraph should be - engaging, informative, and should make the reader want to read the full article. - \nResult: 1. ''AI and Climate Change: A New Hope for Sustainability'':\nIn a - world where climate change is a pressing concern, Artificial Intelligence (AI) - offers a glimmer of hope. This article will delve into how AI''s predictive - capabilities and data analysis can aid in sustainability efforts, from optimizing - energy consumption to predicting extreme weather patterns. Through real-world - examples and expert insights, we''ll explore the innovative solutions AI is - bringing to the fight against climate change.\n\n2. ''AI in Art: How Neural - Networks are Revolutionizing the Artistic Landscape'':\nArtificial Intelligence - is not just for the tech-savvy; it''s making waves in the art world too. This - article will unveil how AI and Neural Networks are transforming the artistic - landscape, creating a new genre of AI-art. From AI that can replicate the style - of famous artists to AI that creates entirely original pieces, we will delve - into this fascinating intersection of technology and creativity.\n\n3. ''The - Role of AI in the Post-Covid World'':\nThe global pandemic has drastically altered - our world, and AI has played a pivotal role in this transformation. In this - article, we''ll explore how AI has been instrumental in everything from predicting - the virus''s spread to accelerating vaccine development. We''ll also look ahead - to the post-Covid world, investigating the lasting changes that AI will bring - about in our societies.\n\n4. ''Demystifying AI: Breaking Down Complex AI Concepts - for the Everyday Reader'':\nArtificial Intelligence can seem like a complex - and intimidating subject, but it doesn''t have to be. This article aims to demystify - AI, breaking down complex concepts into understandable nuggets of information. - Whether you''re an AI novice or a tech enthusiast, this article will enrich - your understanding of AI and its impact on our lives.\n\n5. ''The Ethical Dilemmas - of AI: Balancing Innovation and Humanity'':\nAs AI continues to advance, it - brings along a host of ethical dilemmas. This article will delve into the heart - of these issues, discussing the balance between innovation and humanity. From - the potential for bias in AI algorithms to the implications of autonomous machines, - we''ll explore the ethical implications of AI in our society.\n\nIf I don''t - need to use any more tools, I must make sure use the correct format to give - my final answer:\n\n```Final Answer: [my expected final answer, entire content - of my most complete final answer goes here]```\n I MUST use these formats, my - jobs depends on it!\n"}], "model": "gpt-4", "n": 1, "stop": ["\nResult"], "stream": + allows you to properly evaluate the work of your team members.\nYour personal + goal is: Manage the team to complete the task in the best way possible.\n\nYou + ONLY have access to the following tools, and should NEVER make up tools that + are not listed here:\n\nDelegate work to co-worker: Delegate work to co-worker(coworker: + str, task: str, context: str) - Delegate a specific task to one of the following + co-workers: [''Researcher'', ''Senior Writer'']\nThe input to this tool should + be the coworker, the task you want them to do, and ALL necessary context to + exectue the task, they know nothing about the task, so share absolute everything + you know, don''t reference things but instead explain them.\nAsk question to + co-worker: Ask question to co-worker(coworker: str, question: str, context: + str) - Ask a specific question to one of the following co-workers: [''Researcher'', + ''Senior Writer'']\nThe input to this tool should be the coworker, the question + you have for them, and ALL necessary context to ask the question properly, they + know nothing about the question, so share absolute everything you know, don''t + reference things but instead explain them.\n\nUse the following format:\n\nThought: + you should always think about what to do\nAction: the action to take, only one + name of [Delegate work to co-worker, Ask question to co-worker], just the name, + exactly as it''s written.\nAction Input: the input to the action, just a simple + a python dictionary using \" to wrap keys and values.\nObservation: the result + of the action\n\nOnce all necessary information is gathered:\n\nThought: I now + know the final answer\nFinal Answer: the final answer to the original input + question\n\n\nCurrent Task: Come up with a list of 5 interesting ideas to explore + for an article, then write one amazing paragraph highlight for each idea that + showcases how good an article about this topic could be. Return the list of + ideas with their paragraph and your notes.\n\nThis is the expect criteria for + your final answer: 5 bullet points with a paragraph for each idea. \n you MUST + return the actual complete content as the final answer, not a summary.\n\nBegin! + This is VERY important to you, use the tools available and give your best Final + Answer, your job depends on it!\n\nThought: \nTo complete this task, I need + to first come up with 5 interesting ideas for an article. Then, I need to write + a paragraph for each idea that showcases how good an article about this topic + could be. I will delegate the task of coming up with the ideas to the Researcher + and the task of writing the paragraphs to the Senior Writer.\n\nAction: \nDelegate + work to co-worker\n\nAction Input: \n{\n \"coworker\": \"Researcher\",\n \"task\": + \"Come up with 5 interesting ideas for an article\",\n \"context\": \"We need + to create a list of 5 interesting ideas for an article. These ideas should be + unique, engaging, and have the potential to be developed into a full-length + article. Please consider a wide range of topics and audiences.\"\n}\n\nObservation: + 1. \"Demystifying AI: An in-depth exploration of Artificial Intelligence for + the layperson\"\n2. \"The Role of AI in Startups: A Game Changer?\"\n3. \"AI + and Ethics: Navigating the Complex Landscape\"\n4. \"Unveiling the AI Agents: + The Future of Customer Service\"\n5. \"From Science Fiction to Reality: AI in + Everyday Life\"\n"}], "model": "gpt-4", "n": 1, "stop": ["\nObservation"], "stream": true, "temperature": 0.0}' headers: accept: @@ -5534,12 +2493,12 @@ interactions: connection: - keep-alive content-length: - - '7129' + - '3819' content-type: - application/json cookie: - - __cf_bm=7tmYvGcscwaDZ3sg1u67kBHD4GeSEkAKFkdGwLh4XqY-1709098427-1.0-ASJWXgRu1y6FFVDts000DsLb/6LqmkAL+BReAfwP5UeS8WHV+OfwPn2oQMD07vdL8/6bJr/av0OQNU1HibjQssE=; - _cfuvid=GEhd27spe040gW8sSR0eQppFvgebwS8Y4Z0lZosjYLU-1709098427500-0.0-604800000 + - 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You are a seasoned manager with a knack for getting the best out of your team.\nYou are also known for your ability to delegate work to the right people, and to ask the right questions to get the best out of your team.\nEven though you don''t perform tasks by yourself, you have a lot of experience in the field, which - allows you to properly evaluate the work of your team members.\n\nYour personal - goal is: Manage the team to complete the task in the best way possible.I have - access to ONLY the following tools, I can use only these, use one at time:\n\nDelegate - work to co-worker: Delegate work to co-worker(coworker: str, task: str, context: - str) - Delegate a specific task to one of the following co-workers: - Scorer\nThe - input to this tool should be the coworker, the task you want them to do, and - ALL necessary context to exectue the task, they know nothing about the task, - so share absolute everything you know, don''t reference things but instead explain - them.\nAsk question to co-worker: Ask question to co-worker(coworker: str, question: - str, context: str) - Ask a specific question to one of the following co-workers: - - Scorer\nThe input to this tool should be the coworker, the question you have - for them, and ALL necessary context to ask the question properly, they know - nothing about the question, so share absolute everything you know, don''t reference - things but instead explain them.\n\nTo use a tool I MUST use the exact following - format:\n\n```\nUse Tool: the tool I wanna use, should be one of [Delegate work - to co-worker, Ask question to co-worker] and absolute all relevant input and - context for using the tool, I must use only one tool at once.\nResult: [result - of the tool]\n```\n\nTo give my final answer I''ll use the exact following format:\n\n```\nFinal - Answer: [my expected final answer, entire content of my most complete final - answer goes here]\n```\nI MUST use these formats, my jobs depends on it!\n\nCurrent - Task: Give me an integer score between 1-5 for the following title: ''The impact - of AI in the future of work''\nYour final answer must be: The score of the title.\n\n - Begin! 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This is + VERY important to you, use the tools available and give your best Final Answer, + your job depends on it!\n\nThought: \nThought: To properly evaluate the title + ''The impact of AI in the future of work'' and assign it an integer score between + 1-5, I need to understand how ''Scorer'' evaluates titles based on their criteria. + Once I know what criteria ''Scorer'' uses, I can then ask them to evaluate the + title based on that criteria.\n\nAction: Ask question to co-worker\n\nAction + Input: {\"coworker\": \"Scorer\", \"question\": \"What criteria do you use to + evaluate and score titles?\", \"context\": \"I need to assign a score between + 1-5 for the title ''The impact of AI in the future of work'', but I''m not sure + what aspects or criteria you consider when evaluating titles. Can you please + explain your evaluation process, including any specific factors or guidelines + you follow, so I can properly delegate this task to you?\"}\n\nObservation: + When evaluating and scoring titles, I follow several key criteria:\n\n1. Relevance: + The first thing I look for in a title is its relevance to the content it represents. + A good title should give the reader a clear idea of what they can expect from + the content. If the title is ''The impact of AI in the future of work'', then + the content should thoroughly discuss this topic.\n\n2. Clarity: The title should + be clear and understandable. It should not be vague or confusing. In the case + of ''The impact of AI in the future of work'', it''s clear that the content + will discuss how AI might affect work in the future.\n\n3. Uniqueness: A unique + title stands out and grabs attention, increasing the chances of the content + being read. It''s not just about being different, but about being compelling + and interesting.\n\n4. Brevity: Good titles are typically short and to the point. + They should convey the essence of the content without being overly verbose. + ''The impact of AI in the future of work'' is a good example as it''s succinct + yet informative.\n\n5. Grammar and Syntax: A title should be grammatically correct + and properly punctuated. Any errors can make the title (and by extension, the + content) appear unprofessional and reduce its credibility.\n\nBased on these + criteria, I would assign a score to the title. A title that meets all these + criteria excellently would receive a 5, while a title that meets them poorly + would receive a 1. Titles that meet some criteria well and others poorly would + receive a score in between.\n"}], "model": "gpt-4-0125-preview", "n": 1, "stop": + ["\nObservation"], "stream": true, "temperature": 0.7}' headers: accept: - application/json @@ -2260,12 +2332,12 @@ interactions: connection: - keep-alive content-length: - - '3336' + - '4877' content-type: - application/json cookie: - - __cf_bm=fynaHLTb6LwEaBZ97nyGOmikr7H1HfaEHP2vmD6C8nY-1709097667-1.0-ARdaZwNQzbH6Usn6s1wRpRLb5YbtiOwzx5rukmKsjWG1AN+OCs4OR+ULwAcCit0JmeelrDc5PZlvD1yFGVVghgc=; - _cfuvid=yLZmlXpXqRDOBD69LhD7sRn052kTWgf.00ZG6HfsWks-1709097667736-0.0-604800000 + - __cf_bm=NA.yO_0TMjZkmCsXOJznvwS6k5eKeJoyScc_gp2N7n8-1709397054-1.0.1.1-DVzp4UaHuEoXySq2m0a2zx9eeTADoWDgBScR7rglRpE80nRyRMGb_8JBcgiLkjCG1g4mRFsjaTXKQvQxGH79BA; + _cfuvid=yDX3wI9eNBD6UZf3sH7ctFRtlKH3vwJbKybrQ0jQl.8-1709397054678-0.0.1.1-604800000 host: - api.openai.com user-agent: @@ -2288,27 +2360,907 @@ interactions: uri: https://api.openai.com/v1/chat/completions 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You are + a seasoned manager with a knack for getting the best out of your team.\nYou + are also known for your ability to delegate work to the right people, and to + ask the right questions to get the best out of your team.\nEven though you don''t + perform tasks by yourself, you have a lot of experience in the field, which + allows you to properly evaluate the work of your team members.\nYour personal + goal is: Manage the team to complete the task in the best way possible.\n\nYou + ONLY have access to the following tools, and should NEVER make up tools that + are not listed here:\n\nDelegate work to co-worker: Delegate work to co-worker(coworker: + str, task: str, context: str) - Delegate a specific task to one of the following + co-workers: [''Scorer'']\nThe input to this tool should be the coworker, the + task you want them to do, and ALL necessary context to exectue the task, they + know nothing about the task, so share absolute everything you know, don''t reference + things but instead explain them.\nAsk question to co-worker: Ask question to + co-worker(coworker: str, question: str, context: str) - Ask a specific question + to one of the following co-workers: [''Scorer'']\nThe input to this tool should + be the coworker, the question you have for them, and ALL necessary context to + ask the question properly, they know nothing about the question, so share absolute + everything you know, don''t reference things but instead explain them.\n\nUse + the following format:\n\nThought: you should always think about what to do\nAction: + the action to take, only one name of [Delegate work to co-worker, Ask question + to co-worker], just the name, exactly as it''s written.\nAction Input: the input + to the action, just a simple a python dictionary using \" to wrap keys and values.\nObservation: + the result of the action\n\nOnce all necessary information is gathered:\n\nThought: + I now know the final answer\nFinal Answer: the final answer to the original + input question\n\n\nCurrent Task: Give me an integer score between 1-5 for the + following title: ''The impact of AI in the future of work''\n\nThis is the expect + criteria for your final answer: The score of the title. \n you MUST return the + actual complete content as the final answer, not a summary.\n\nBegin! This is + VERY important to you, use the tools available and give your best Final Answer, + your job depends on it!\n\nThought: \nThought: To properly evaluate the title + ''The impact of AI in the future of work'' and assign it an integer score between + 1-5, I need to understand how ''Scorer'' evaluates titles based on their criteria. + Once I know what criteria ''Scorer'' uses, I can then ask them to evaluate the + title based on that criteria.\n\nAction: Ask question to co-worker\n\nAction + Input: {\"coworker\": \"Scorer\", \"question\": \"What criteria do you use to + evaluate and score titles?\", \"context\": \"I need to assign a score between + 1-5 for the title ''The impact of AI in the future of work'', but I''m not sure + what aspects or criteria you consider when evaluating titles. Can you please + explain your evaluation process, including any specific factors or guidelines + you follow, so I can properly delegate this task to you?\"}\n\nObservation: + When evaluating and scoring titles, I follow several key criteria:\n\n1. Relevance: + The first thing I look for in a title is its relevance to the content it represents. + A good title should give the reader a clear idea of what they can expect from + the content. If the title is ''The impact of AI in the future of work'', then + the content should thoroughly discuss this topic.\n\n2. Clarity: The title should + be clear and understandable. It should not be vague or confusing. In the case + of ''The impact of AI in the future of work'', it''s clear that the content + will discuss how AI might affect work in the future.\n\n3. Uniqueness: A unique + title stands out and grabs attention, increasing the chances of the content + being read. It''s not just about being different, but about being compelling + and interesting.\n\n4. Brevity: Good titles are typically short and to the point. + They should convey the essence of the content without being overly verbose. + ''The impact of AI in the future of work'' is a good example as it''s succinct + yet informative.\n\n5. Grammar and Syntax: A title should be grammatically correct + and properly punctuated. Any errors can make the title (and by extension, the + content) appear unprofessional and reduce its credibility.\n\nBased on these + criteria, I would assign a score to the title. A title that meets all these + criteria excellently would receive a 5, while a title that meets them poorly + would receive a 1. 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cloudflare Transfer-Encoding: @@ -3016,7 +3166,7 @@ interactions: openai-organization: - crewai-iuxna1 openai-processing-ms: - - '364' + - '310' openai-version: - '2020-10-01' strict-transport-security: @@ -3028,75 +3178,83 @@ interactions: x-ratelimit-remaining-requests: - '9999' x-ratelimit-remaining-tokens: - - '299193' + - '299233' x-ratelimit-reset-requests: - 6ms x-ratelimit-reset-tokens: - - 161ms + - 153ms x-request-id: - - req_7d2e867a2af3d82751b2724bdcbf53d3 + - req_5ddc12bbd6e0c14c348371010d890340 status: code: 200 message: OK - request: - body: '{"messages": [{"role": "user", "content": "You are Crew Manager.\nYou are + body: '{"messages": [{"role": "user", "content": "You are Crew Manager. You are a seasoned manager with a knack for getting the best out of your team.\nYou are also known for your ability to delegate work to the right people, and to ask the right questions to get the best out of your team.\nEven though you don''t perform tasks by yourself, you have a lot of experience in the field, which - allows you to properly evaluate the work of your team members.\n\nYour personal - goal is: Manage the team to complete the task in the best way possible.I have - access to ONLY the following tools, I can use only these, use one at time:\n\nDelegate - work to co-worker: Delegate work to co-worker(coworker: str, task: str, context: - str) - Delegate a specific task to one of the following co-workers: - Scorer\nThe - input to this tool should be the coworker, the task you want them to do, and - ALL necessary context to exectue the task, they know nothing about the task, - so share absolute everything you know, don''t reference things but instead explain - them.\nAsk question to co-worker: Ask question to co-worker(coworker: str, question: - str, context: str) - Ask a specific question to one of the following co-workers: - - Scorer\nThe input to this tool should be the coworker, the question you have - for them, and ALL necessary context to ask the question properly, they know - nothing about the question, so share absolute everything you know, don''t reference - things but instead explain them.\n\nTo use a tool I MUST use the exact following - format:\n\n```\nUse Tool: the tool I wanna use, should be one of [Delegate work - to co-worker, Ask question to co-worker] and absolute all relevant input and - context for using the tool, I must use only one tool at once.\nResult: [result - of the tool]\n```\n\nTo give my final answer I''ll use the exact following format:\n\n```\nFinal - Answer: [my expected final answer, entire content of my most complete final - answer goes here]\n```\nI MUST use these formats, my jobs depends on it!\n\nCurrent - Task: Give me an integer score between 1-5 for the following title: ''The impact - of AI in the future of work'', check examples to based your evaluation.\nYour - final answer must be: The score of the title.\n\n Begin! 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Score: 5/5\n\nOverall, the title ''The impact of AI in the future - of work'' scores 19 out of 20, which is rounded to 5/5 when we consider a scale - of 1-5.\n\nIf I don''t need to use any more tools, I must make sure use the - correct format to give my final answer:\n\n```Final Answer: [my expected final - answer, entire content of my most complete final answer goes here]```\n I MUST - use these formats, my jobs depends on it!\n"}], "model": "gpt-4-0125-preview", - "n": 1, "stop": ["\nResult"], "stream": true, "temperature": 0.7}' + allows you to properly evaluate the work of your team members.\nYour personal + goal is: Manage the team to complete the task in the best way possible.\n\nYou + ONLY have access to the following tools, and should NEVER make up tools that + are not listed here:\n\nDelegate work to co-worker: Delegate work to co-worker(coworker: + str, task: str, context: str) - Delegate a specific task to one of the following + co-workers: [''Scorer'']\nThe input to this tool should be the coworker, the + task you want them to do, and ALL necessary context to exectue the task, they + know nothing about the task, so share absolute everything you know, don''t reference + things but instead explain them.\nAsk question to co-worker: Ask question to + co-worker(coworker: str, question: str, context: str) - Ask a specific question + to one of the following co-workers: [''Scorer'']\nThe input to this tool should + be the coworker, the question you have for them, and ALL necessary context to + ask the question properly, they know nothing about the question, so share absolute + everything you know, don''t reference things but instead explain them.\n\nUse + the following format:\n\nThought: you should always think about what to do\nAction: + the action to take, only one name of [Delegate work to co-worker, Ask question + to co-worker], just the name, exactly as it''s written.\nAction Input: the input + to the action, just a simple a python dictionary using \" to wrap keys and values.\nObservation: + the result of the action\n\nOnce all necessary information is gathered:\n\nThought: + I now know the final answer\nFinal Answer: the final answer to the original + input question\n\n\nCurrent Task: Give me an integer score between 1-5 for the + following title: ''The impact of AI in the future of work'', check examples + to based your evaluation.\n\nThis is the expect criteria for your final answer: + The score of the title. \n you MUST return the actual complete content as the + final answer, not a summary.\n\nBegin! This is VERY important to you, use the + tools available and give your best Final Answer, your job depends on it!\n\nThought: + \nThought: Before I can give a score to the title \"The impact of AI in the + future of work,\" I need to understand the criteria that should be used to evaluate + it. Since scoring can be subjective, it''s essential to establish clear criteria + based on relevance, insightfulness, current interest in the topic, and perhaps + its specificity or ability to provoke thought. As I don''t have direct guidelines, + I will need to consult with my co-worker, Scorer, who might have a set of criteria + or insights on how to approach this task.\n\nAction: Ask question to co-worker\nAction + Input: {\"coworker\": \"Scorer\", \"question\": \"What criteria should we use + to evaluate and score the title ''The impact of AI in the future of work''?\", + \"context\": \"We need to assign a score between 1-5 for the title ''The impact + of AI in the future of work''. Scoring should be based on factors like relevance, + insightfulness, current interest in the topic, specificity, and its ability + to provoke thought. As I don''t have a predefined set of criteria, I''m seeking + your advice on establishing the most appropriate criteria for evaluation.\"}\nObservation: + In scoring the title ''The impact of AI in the future of work'', we can use + the following criteria:\n\n1. Relevance: Does the title represent a current + or future trend? Is it applicable to a broad audience or sector? In this case, + AI''s impact on future work is a highly relevant topic given the rapid advancements + in technology and their influence on job markets.\n\n2. Insightfulness: Does + the title offer a unique perspective or thought-provoking insight? The title + suggests an exploration of the consequences of AI on the future of work, which + is an insightful topic.\n\n3. Current interest in the topic: Is the topic something + that is being widely discussed or researched currently? AI and its impact on + occupational fields is a subject of considerable current interest.\n\n4. Specificity: + Is the title specific enough to give a clear indication of what the content + will be about, without being too narrow or too broad? The title is specific + in that it refers to the impact of AI, but it is broad in the sense that it + refers to the ''future of work,'' which could encompass many aspects.\n\n5. + Ability to provoke thought: Does the title make the reader want to know more? + Does it encourage critical thinking or curiosity? The title ''The impact of + AI in the future of work'' does provoke thought as it brings into question the + implications of AI on our professional lives.\n\nBased on these criteria, each + can be assigned a score from 1-5, 5 being the highest. 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request: - body: '{"messages": [{"role": "user", "content": "You are Scorer.\nYou''re an - expert scorer, specialized in scoring titles.\n\nYour personal goal is: Score - the titleTo give my final answer use the exact following format:\n\n```\nFinal - Answer: [my expected final answer, entire content of my most complete final - answer goes here]\n```\nI MUST use these formats, my jobs depends on it!\n\nCurrent - Task: Give me an integer score between 1-5 for the following title: ''The impact - of AI in the future of work''\nYour final answer must be: The score of the title.\n\n - Begin! This is VERY important to you, your job depends on it!\n\n\n"}], "model": - "gpt-4", "n": 1, "stop": ["\nResult"], "stream": true, "temperature": 0.7}' + body: '{"messages": [{"role": "user", "content": "You are Scorer. You''re an expert + scorer, specialized in scoring titles.\nYour personal goal is: Score the titleTo + give my best complete final answer to the task use the exact following format:\n\nThought: + I now can give a great answer\nFinal Answer: my best complete final answer to + the task.\nYour final answer must be the great and the most complete as possible, + it must be outcome described.\n\nI MUST use these formats, my job depends on + it!\n\nThought: \n\nCurrent Task: Give me an integer score between 1-5 for the + following title: ''The impact of AI in the future of work''\n\nThis is the expect + criteria for your final answer: The score of the title. \n you MUST return the + actual complete content as the final answer, not a summary.\n\nBegin! This is + VERY important to you, use the tools available and give your best Final Answer, + your job depends on it!\n\nThought: \n"}], "model": "gpt-4", "n": 1, "stop": + ["\nObservation"], "stream": true, "temperature": 0.7}' headers: accept: - application/json @@ -314,7 +88,7 @@ interactions: connection: - keep-alive content-length: - - '707' + - '1012' content-type: - application/json host: @@ -339,27 +113,418 @@ interactions: uri: https://api.openai.com/v1/chat/completions response: body: - string: 'data: {"id":"chatcmpl-8x6vP1tSz8Kkwkq4zYP9KIp6qeIzH","object":"chat.completion.chunk","created":1709098663,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]} + string: 'data: 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Return the list of ideas with their paragraph and your notes.", + "expected_output": "A 4 paragraph article about AI.", "agent": "Senior Writer", }, ], @@ -115,10 +117,12 @@ def test_crew_creation(): tasks = [ Task( description="Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting.", + expected_output="Bullet point list of 5 important events.", agent=researcher, ), Task( description="Write a 1 amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.", + expected_output="A 4 paragraph article about AI.", agent=writer, ), ] @@ -131,7 +135,7 @@ def test_crew_creation(): assert ( crew.kickoff() - == '1. "The Role of AI in Predictive Analysis"\nHighlight: AI is revolutionizing the way we understand and utilize data through predictive analysis. Complex algorithms can sift through vast amounts of information, predict future trends and assist businesses in making informed decisions. The article will delve into the intricate workings of AI in predictive analysis and how it is shaping industries from healthcare to finance.\n\nNotes: This topic will focus on the business aspect of AI and its transformative role in data analysis. Case studies from different industries can be used to illustrate the impact of AI in predictive analysis.\n\n2. "The Intersection of AI and Quantum Computing"\nHighlight: As we stand at the crossroads of AI and quantum computing, there’s an unprecedented potential for breakthroughs in processing speed and problem-solving capabilities. This article will explore this exciting intersection, revealing how the fusion of these two technologies can push the boundaries of what\'s possible.\n\nNotes: The article will provide a detailed overview of quantum computing and how its integration with AI can revolutionize various sectors. Real-world applications and future predictions will be included.\n\n3. "AI for Sustainable Development"\nHighlight: In an era where sustainability is a global priority, AI is emerging as a powerful tool in progressing towards this goal. From optimizing resource use to monitoring environmental changes, AI\'s role in sustainable development is multifaceted and transformative. This article will shed light on how AI is being utilized to promote a more sustainable future.\n\nNotes: This topic will delve into the environmental aspect of AI and its potential in promoting sustainable development. Examples of AI applications in different environmental contexts will be provided.\n\n4. "Ethical Implications of AI"\nHighlight: As AI permeates our society, it brings along a host of ethical dilemmas. From privacy concerns to accountability, the ethical implications of AI are as complex as they are critical. This article will take a deep dive into the ethical landscape of AI, exploring the pressing issues and potential solutions.\n\nNotes: This topic will take a philosophical and ethical approach, discussing the moral implications of AI use and how they can be mitigated. It will include a wide range of perspectives from experts in the field.\n\n5. "AI in Art and Creativity"\nHighlight: The world of art is no stranger to the transformative power of AI. From creating original artworks to enhancing creative processes, AI is redefining the boundaries of art and creativity. This article will take you on a journey through the fascinating intersection of AI and creativity, showcasing the revolutionary impact of this technology in the art world.\n\nNotes: This article will explore the artistic side of AI, discussing how it\'s being used in various creative fields. It will feature interviews with artists and creators who are harnessing the power of AI in their work.' + == "1. **The Rise of AI in Healthcare**: The convergence of AI and healthcare is a promising frontier, offering unprecedented opportunities for disease diagnosis and patient outcome prediction. AI's potential to revolutionize healthcare lies in its capacity to synthesize vast amounts of data, generating precise and efficient results. This technological breakthrough, however, is not just about improving accuracy and efficiency; it's about saving lives. As we stand on the precipice of this transformative era, we must prepare for the complex challenges and ethical questions it poses, while embracing its ability to reshape healthcare as we know it.\n\n2. **Ethical Implications of AI**: As AI intertwines with our daily lives, it presents a complex web of ethical dilemmas. This fusion of technology, philosophy, and ethics is not merely academically intriguing but profoundly impacts the fabric of our society. The questions raised range from decision-making transparency to accountability, and from privacy to potential biases. As we navigate this ethical labyrinth, it is crucial to establish robust frameworks and regulations to ensure that AI serves humanity, and not the other way around.\n\n3. **AI and Data Privacy**: The rise of AI brings with it an insatiable appetite for data, spawning new debates around privacy rights. Balancing the potential benefits of AI with the right to privacy is a unique challenge that intersects technology, law, and human rights. In an increasingly digital world, where personal information forms the backbone of many services, we must grapple with these issues. It's time to redefine the concept of privacy and devise innovative solutions that ensure our digital footprints are not abused.\n\n4. **AI in Job Market**: The discourse around AI's impact on employment is a narrative of contrast, a tale of displacement and creation. On one hand, AI threatens to automate a multitude of jobs, on the other, it promises to create new roles that we cannot yet imagine. This intersection of technology, economics, and labor rights is a critical dialogue that will shape our future. As we stand at this crossroads, we must not only brace ourselves for the changes but also seize the opportunities that this technological wave brings.\n\n5. **Future of AI Agents**: The evolution of AI agents signifies a leap towards a future where AI is not just a tool, but a partner. These sophisticated AI agents, employed in customer service to personal assistants, are redefining our interactions with technology. As we gaze into the future of AI agents, we see a landscape of possibilities and challenges. This journey will be about harnessing the potential of AI agents while navigating the issues of trust, dependence, and ethical use." ) @@ -141,6 +145,7 @@ def test_hierarchical_process(): task = Task( description="Come up with a list of 5 interesting ideas to explore for an article, then write one amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.", + expected_output="5 bullet points with a paragraph for each idea.", ) crew = Crew( @@ -152,13 +157,14 @@ def test_hierarchical_process(): assert ( crew.kickoff() - == "Here are the five interesting ideas for our next article along with a captivating paragraph for each:\n\n1. 'AI and Climate Change: A New Hope for Sustainability':\nIn a world where climate change is a pressing concern, Artificial Intelligence (AI) offers a glimmer of hope. This article will delve into how AI's predictive capabilities and data analysis can aid in sustainability efforts, from optimizing energy consumption to predicting extreme weather patterns. Through real-world examples and expert insights, we'll explore the innovative solutions AI is bringing to the fight against climate change.\n\n2. 'AI in Art: How Neural Networks are Revolutionizing the Artistic Landscape':\nArtificial Intelligence is not just for the tech-savvy; it's making waves in the art world too. This article will unveil how AI and Neural Networks are transforming the artistic landscape, creating a new genre of AI-art. From AI that can replicate the style of famous artists to AI that creates entirely original pieces, we will delve into this fascinating intersection of technology and creativity.\n\n3. 'The Role of AI in the Post-Covid World':\nThe global pandemic has drastically altered our world, and AI has played a pivotal role in this transformation. In this article, we'll explore how AI has been instrumental in everything from predicting the virus's spread to accelerating vaccine development. We'll also look ahead to the post-Covid world, investigating the lasting changes that AI will bring about in our societies.\n\n4. 'Demystifying AI: Breaking Down Complex AI Concepts for the Everyday Reader':\nArtificial Intelligence can seem like a complex and intimidating subject, but it doesn't have to be. This article aims to demystify AI, breaking down complex concepts into understandable nuggets of information. Whether you're an AI novice or a tech enthusiast, this article will enrich your understanding of AI and its impact on our lives.\n\n5. 'The Ethical Dilemmas of AI: Balancing Innovation and Humanity':\nAs AI continues to advance, it brings along a host of ethical dilemmas. This article will delve into the heart of these issues, discussing the balance between innovation and humanity. From the potential for bias in AI algorithms to the implications of autonomous machines, we'll explore the ethical implications of AI in our society." + == "1. 'Demystifying AI: An in-depth exploration of Artificial Intelligence for the layperson' - In this piece, we will unravel the enigma of AI, simplifying its complexities into digestible information for the everyday individual. By using relatable examples and analogies, we will journey through the neural networks and machine learning algorithms that define AI, without the jargon and convoluted explanations that often accompany such topics.\n\n2. 'The Role of AI in Startups: A Game Changer?' - Startups today are harnessing the power of AI to revolutionize their businesses. This article will delve into how AI, as an innovative force, is shaping the startup ecosystem, transforming everything from customer service to product development. We'll explore real-life case studies of startups that have leveraged AI to accelerate their growth and disrupt their respective industries.\n\n3. 'AI and Ethics: Navigating the Complex Landscape' - AI brings with it not just technological advancements, but ethical dilemmas as well. This article will engage readers in a thought-provoking discussion on the ethical implications of AI, exploring issues like bias in algorithms, privacy concerns, job displacement, and the moral responsibility of AI developers. We will also discuss potential solutions and frameworks to address these challenges.\n\n4. 'Unveiling the AI Agents: The Future of Customer Service' - AI agents are poised to reshape the customer service landscape, offering businesses the ability to provide round-the-clock support and personalized experiences. In this article, we'll dive deep into the world of AI agents, examining how they work, their benefits and limitations, and how they're set to redefine customer interactions in the digital age.\n\n5. 'From Science Fiction to Reality: AI in Everyday Life' - AI, once a concept limited to the realm of sci-fi, has now permeated our daily lives. This article will highlight the ubiquitous presence of AI, from voice assistants and recommendation algorithms, to autonomous vehicles and smart homes. We'll explore how AI, in its various forms, is transforming our everyday experiences, making the future seem a lot closer than we imagined." ) def test_manager_llm_requirement_for_hierarchical_process(): task = Task( description="Come up with a list of 5 interesting ideas to explore for an article, then write one amazing paragraph highlight for each idea that showcases how good an article about this topic could be. Return the list of ideas with their paragraph and your notes.", + expected_output="5 bullet points with a paragraph for each idea.", ) with pytest.raises(pydantic_core._pydantic_core.ValidationError): @@ -187,15 +193,23 @@ def test_crew_with_delegating_agents(): assert ( crew.kickoff() - == "In today's technological landscape, Artificial Intelligence (AI) agents have emerged as key players in shaping the future of various industries. These agents, which are essentially computer programs that can learn, adapt, and operate autonomously, are a testament to the rapidly evolving capabilities of AI. They are the harbingers of a new era, where machines can mimic human intelligence, and in some cases, even surpass it.\n\nAI agents are transforming the way we engage with technology, enabling a more personalized and efficient user experience. They are extensively used in areas like customer service, where chatbots can handle customer inquiries without human intervention. They have revolutionized sectors like healthcare, where AI agents can analyze patient data to predict health trends and provide personalized treatment recommendations. \n\nHowever, as AI agents continue to evolve, they also pose significant ethical and regulatory challenges. There are concerns about privacy, bias, and the potential misuse of these technologies. As a society, it's crucial to establish norms and regulations that ensure the responsible use of AI agents, balancing their benefits with potential risks.\n\nIn conclusion, AI agents are a transformative technology that is reshaping our world. The challenges they present are complex, but the opportunities they offer are immense. As we continue to explore and understand this technology, we can harness its potential to create a more efficient, personalized, and intelligent future." + == "AI Agents, simply put, are intelligent systems that can perceive their environment and take actions to reach specific goals. Imagine them as digital assistants that can learn, adapt and make decisions. They operate in the realms of software or hardware, like a chatbot on a website or a self-driving car. The key to their intelligence is their ability to learn from their experiences, making them better at their tasks over time. In today's interconnected world, AI agents are transforming our lives. They enhance customer service experiences, streamline business processes, and even predict trends in data. Vehicles equipped with AI agents are making transportation safer. In healthcare, AI agents are helping to diagnose diseases, personalizing treatment plans, and monitoring patient health. As we embrace the digital era, these AI agents are not just important, they're becoming indispensable, shaping a future where technology works intuitively and intelligently to meet our needs." ) @pytest.mark.vcr(filter_headers=["authorization"]) def test_crew_verbose_output(capsys): tasks = [ - Task(description="Research AI advancements.", agent=researcher), - Task(description="Write about AI in healthcare.", agent=writer), + Task( + description="Research AI advancements.", + expected_output="A full report on AI advancements.", + agent=researcher, + ), + Task( + description="Write about AI in healthcare.", + expected_output="A 4 paragraph article about AI.", + agent=writer, + ), ] crew = Crew( @@ -228,7 +242,13 @@ def test_crew_verbose_output(capsys): @pytest.mark.vcr(filter_headers=["authorization"]) def test_crew_verbose_levels_output(capsys): - tasks = [Task(description="Write about AI advancements.", agent=researcher)] + tasks = [ + Task( + description="Write about AI advancements.", + expected_output="A 4 paragraph article about AI.", + agent=researcher, + ) + ] crew = Crew(agents=[researcher], tasks=tasks, process=Process.sequential, verbose=1) @@ -267,11 +287,13 @@ def test_cache_hitting_between_agents(): tasks = [ Task( description="What is 2 tims 6? Return only the number.", + expected_output="the result of multiplication", tools=[multiplier], agent=ceo, ), Task( description="What is 2 times 6? Return only the number.", + expected_output="the result of multiplication", tools=[multiplier], agent=researcher, ), @@ -319,6 +341,7 @@ def test_api_calls_throttling(capsys): task = Task( description="Don't give a Final Answer, instead keep using the `get_final_answer` tool.", + expected_output="The final answer.", tools=[get_final_answer], agent=agent, ) @@ -345,10 +368,12 @@ def test_crew_full_ouput(): task1 = Task( description="just say hi!", + expected_output="your greeting", agent=agent, ) task2 = Task( description="just say hello!", + expected_output="your greeting", agent=agent, ) @@ -356,7 +381,7 @@ def test_crew_full_ouput(): result = crew.kickoff() assert result == { - "final_output": "Hello!", + "final_output": "Hello! It is a delight to receive your message. I trust this response finds you in good spirits. It's indeed a pleasure to connect with you too.", "tasks_outputs": [task1.output, task2.output], } @@ -372,6 +397,7 @@ def test_agents_rpm_is_never_set_if_crew_max_RPM_is_not_set(): task = Task( description="just say hi!", + expected_output="your greeting", agent=agent, ) @@ -522,6 +548,7 @@ def test_crew_function_calling_llm(): essay = Task( description="Write and then review an small paragraph on AI until it's AMAZING", + expected_output="A 4 paragraph article about AI.", agent=agent1, ) tasks = [essay] @@ -549,13 +576,14 @@ def test_task_with_no_arguments(): task = Task( description="Look at the available data nd give me a sense on the total number of sales.", + expected_output="The total number of sales as an integer", agent=researcher, ) crew = Crew(agents=[researcher], tasks=[task]) result = crew.kickoff() - assert result == "The total number of sales from January to May is 75." + assert result == "75" def test_delegation_is_not_enabled_if_there_are_only_one_agent(): @@ -570,6 +598,7 @@ def test_delegation_is_not_enabled_if_there_are_only_one_agent(): task = Task( description="Look at the available data nd give me a sense on the total number of sales.", + expected_output="The total number of sales as an integer", agent=researcher, ) @@ -595,7 +624,10 @@ def test_agents_do_not_get_delegation_tools_with_there_is_only_one_agent(): crew = Crew(agents=[agent], tasks=[task]) result = crew.kickoff() - assert result == "Howdy!" + assert ( + result + == "Howdy! I hope this message finds you well and brings a smile to your face. Have a fantastic day!" + ) assert len(agent.tools) == 0 @@ -613,12 +645,15 @@ def test_agent_usage_metrics_are_captured_for_sequential_process(): crew = Crew(agents=[agent], tasks=[task]) result = crew.kickoff() - assert result == "Howdy!" + assert ( + result + == "Howdy! I hope you're having a wonderful day. I'm here ready to make your day even better. Let's have a great time together!" + ) assert crew.usage_metrics == { - "completion_tokens": 8, - "prompt_tokens": 103, + "completion_tokens": 91, + "prompt_tokens": 164, "successful_requests": 1, - "total_tokens": 111, + "total_tokens": 255, } @@ -633,7 +668,7 @@ def test_agent_usage_metrics_are_captured_for_hierarchical_process(): allow_delegation=False, ) - task = Task(description="say howdy", expected_output="Howdy!") + task = Task(description="Ask the researched to say hi!", expected_output="Howdy!") crew = Crew( agents=[agent], @@ -645,10 +680,10 @@ def test_agent_usage_metrics_are_captured_for_hierarchical_process(): result = crew.kickoff() assert result == "Howdy!" assert crew.usage_metrics == { - "total_tokens": 1365, - "prompt_tokens": 1256, - "completion_tokens": 109, - "successful_requests": 3, + "total_tokens": 2476, + "prompt_tokens": 2191, + "completion_tokens": 285, + "successful_requests": 5, } @@ -685,12 +720,19 @@ def test_crew_inputs_interpolate_both_agents_and_tasks(): task = Task( description="Give me an analysis around {topic}.", expected_output="{points} bullet points about {topic}.", + agent=agent, ) - with patch.object(Agent, "interpolate_inputs") as interpolate_agent_inputs: - with patch.object(Task, "interpolate_inputs") as interpolate_task_inputs: - interpolate_agent_inputs.return_value = None - interpolate_task_inputs.return_value = None - Crew(agents=[agent], tasks=[task], inputs={"topic": "AI", "points": 5}) - interpolate_agent_inputs.assert_called() - interpolate_task_inputs.assert_called() + crew = Crew(agents=[agent], tasks=[task]) + + with patch.object(Agent, "execute_task") as execute: + with patch.object( + Agent, "interpolate_inputs", wraps=agent.interpolate_inputs + ) as interpolate_agent_inputs: + with patch.object( + Task, "interpolate_inputs", wraps=task.interpolate_inputs + ) as interpolate_task_inputs: + execute.return_value = "ok" + crew.kickoff(inputs={"topic": "AI", "points": 5}) + interpolate_agent_inputs.assert_called() + interpolate_task_inputs.assert_called() diff --git a/tests/task_test.py b/tests/task_test.py index 147436f7e..b893359ca 100644 --- a/tests/task_test.py +++ b/tests/task_test.py @@ -26,6 +26,7 @@ def test_task_tool_reflect_agent_tools(): task = Task( description="Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting.", + expected_output="Bullet point list of 5 ideas.", agent=researcher, ) @@ -53,6 +54,7 @@ def test_task_tool_takes_precedence_over_agent_tools(): task = Task( description="Give me a list of 5 interesting ideas to explore for an article, what makes them unique and interesting.", + expected_output="Bullet point list of 5 ideas.", agent=researcher, tools=[fake_task_tool], ) @@ -235,7 +237,7 @@ def test_output_pydantic_to_another_task(): crew = Crew(agents=[scorer], tasks=[task1, task2], verbose=2) result = crew.kickoff() - assert 4 == result.score + assert 5 == result.score @pytest.mark.vcr(filter_headers=["authorization"]) @@ -266,7 +268,7 @@ def test_output_json_to_another_task(): crew = Crew(agents=[scorer], tasks=[task1, task2]) result = crew.kickoff() - assert '{\n "score": 5\n}' == result + assert '{\n "score": 3\n}' == result @pytest.mark.vcr(filter_headers=["authorization"])