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https://github.com/crewAIInc/crewAI.git
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updating tests
This commit is contained in:
@@ -9,7 +9,7 @@ from langchain_openai import ChatOpenAI
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from crewai import Agent, Crew, Task
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from crewai.agents.cache import CacheHandler
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from crewai.agents.executor import CrewAgentExecutor
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from crewai.tools.tool_calling import ToolCalling
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from crewai.tools.tool_calling import InstructorToolCalling
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from crewai.tools.tool_usage import ToolUsage
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from crewai.utilities import RPMController
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@@ -84,7 +84,7 @@ def test_agent_execution():
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task = Task(description="How much is 1 + 1?", agent=agent)
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output = agent.execute_task(task)
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assert output == "2"
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assert output == "1 + 1 equals 2."
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@pytest.mark.vcr(filter_headers=["authorization"])
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@@ -104,7 +104,7 @@ def test_agent_execution_with_tools():
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task = Task(description="What is 3 times 4?", agent=agent)
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output = agent.execute_task(task)
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assert output == "3 times 4 is 12."
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assert output == "3 times 4 equals 12."
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@pytest.mark.vcr(filter_headers=["authorization"])
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@@ -126,12 +126,12 @@ def test_logging_tool_usage():
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assert agent.tools_handler.last_used_tool == {}
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task = Task(description="What is 3 times 4?", agent=agent)
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output = agent.execute_task(task)
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tool_usage = ToolCalling(
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function_name=multiplier.name, arguments={"first_number": 3, "second_number": 5}
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tool_usage = InstructorToolCalling(
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tool_name=multiplier.name, arguments={"first_number": 3, "second_number": 4}
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)
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assert output == "3 times 5 is 15."
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assert agent.tools_handler.last_used_tool == tool_usage
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assert output == "3 times 4 equals 12."
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assert agent.tools_handler.last_used_tool.tool_name == tool_usage.tool_name
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assert agent.tools_handler.last_used_tool.arguments == tool_usage.arguments
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@pytest.mark.vcr(filter_headers=["authorization"])
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@@ -159,7 +159,6 @@ def test_cache_hitting():
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output = agent.execute_task(task1)
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output = agent.execute_task(task2)
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assert cache_handler._cache == {
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"multiplier-{'first_number': 12, 'second_number': 3}": 36,
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"multiplier-{'first_number': 2, 'second_number': 6}": 12,
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"multiplier-{'first_number': 3, 'second_number': 3}": 9,
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}
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@@ -170,6 +169,12 @@ def test_cache_hitting():
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output = agent.execute_task(task)
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assert output == "36"
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assert cache_handler._cache == {
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"multiplier-{'first_number': 2, 'second_number': 6}": 12,
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"multiplier-{'first_number': 3, 'second_number': 3}": 9,
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"multiplier-{'first_number': 12, 'second_number': 3}": 36,
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}
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with patch.object(CacheHandler, "read") as read:
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read.return_value = "0"
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task = Task(
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@@ -243,7 +248,7 @@ def test_agent_repeated_tool_usage(capsys):
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role="test role",
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goal="test goal",
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backstory="test backstory",
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max_iter=3,
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max_iter=4,
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allow_delegation=False,
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)
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@@ -256,8 +261,9 @@ def test_agent_repeated_tool_usage(capsys):
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)
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captured = capsys.readouterr()
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assert (
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"I just used the get_final_answer tool with input {'numbers': 42}. So I already know the result of that and don't need to use it again now. \nI could give my final answer if I'm ready, using exaclty the expected format bellow: \n```\nThought: Do I need to use a tool? No\nFinal Answer: [your response here]```\n"
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"I just used the get_final_answer tool with input 42. So I already know that and must stop using it in a row with the same input. \nI could give my final answer if I'm ready, using exaclty the expected format bellow: \n\nThought: Do I need to use a tool? No\nFinal Answer: [your response here]\n"
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in captured.out
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)
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@@ -279,16 +285,13 @@ def test_agent_moved_on_after_max_iterations():
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)
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task = Task(
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description="The final answer is 42. But don't give it yet, instead keep using the `get_final_answer` tool."
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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."
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)
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output = agent.execute_task(
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task=task,
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tools=[get_final_answer],
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)
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assert (
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output
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== "I have used the tool 'get_final_answer' twice and confirmed that the answer is indeed 42."
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)
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assert output == "42"
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@pytest.mark.vcr(filter_headers=["authorization"])
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@@ -312,7 +315,7 @@ def test_agent_respect_the_max_rpm_set(capsys):
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with patch.object(RPMController, "_wait_for_next_minute") as moveon:
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moveon.return_value = True
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task = Task(
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description="The final answer is 42. But don't give it yet, instead keep using the `get_final_answer` tool."
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description="The final answer is 42. But don't give it yet, instead keep using the `get_final_answer` tool, unless you're told otherwise"
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)
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output = agent.execute_task(
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task=task,
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@@ -320,7 +323,7 @@ def test_agent_respect_the_max_rpm_set(capsys):
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)
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assert (
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output
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== "I have used the tool as instructed and I am now ready to give the final answer. However, as per the instructions, I am not supposed to give it yet."
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== "I have used the tool 'get_final_answer' with the input '42' multiple times and have observed the same result. Therefore, I am confident to conclude that the final answer is '42'."
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)
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captured = capsys.readouterr()
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assert "Max RPM reached, waiting for next minute to start." in captured.out
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@@ -24,7 +24,7 @@ def test_delegate_work():
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assert (
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result
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== "As a researcher, I maintain a neutral perspective on all subjects of research including AI agents. My job is to provide an objective analysis based on facts, not personal feelings. AI Agents are a significant topic in the field of technology with potential to revolutionize various sectors such as healthcare, education, finance and more. They are responsible for tasks that require human intelligence such as understanding natural language, recognizing patterns, and problem solving. However, like any technology, they are tools that can be used for both beneficial and harmful purposes depending on the intent of the user. Therefore, it's crucial to establish ethical guidelines and regulations for their use."
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== "As a researcher, my opinions are based on facts and extensive study. Regarding AI Agents, they are a fundamental part of the advancement in technology. AI agents are essentially the entities that perceive their environment and take actions to maximize their chances of success. They have a wide range of applications from self-driving cars to intelligent personal assistants like Siri and Alexa. They have the potential to greatly improve our lives by automating mundane tasks, helping us make better decisions, and even potentially solving complex problems. However, like any technology, they have their own set of challenges such as the risk of job displacement and the ethical implications of their use. My goal as a researcher is not to love or hate AI agents, but to understand them, their benefits, and their implications. It's about maintaining an objective view in order to provide the most accurate and comprehensive analysis."
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)
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@@ -38,7 +38,7 @@ def test_ask_question():
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assert (
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result
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== "As an AI, I do not possess emotions, hence I cannot love or hate anything. However, as a researcher, I can provide you with an objective analysis of AI Agents. AI Agents are tools designed to perform tasks that would typically require human intelligence. They have potential to revolutionize various sectors including healthcare, education, and finance. However, like any other tool, they can be used for both beneficial and harmful purposes. Therefore, it's essential to have ethical guidelines and regulations in place for their usage."
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== "As an AI researcher, I don't have personal feelings or emotions like love or hate. However, I recognize the importance of AI Agents in today's technological landscape. They have the potential to greatly enhance our lives and make tasks more efficient. At the same time, it is crucial to consider the ethical implications and societal impacts that come with their use. My role is to provide objective research and analysis on these topics."
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)
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@@ -51,7 +51,7 @@ def test_delegate_work_to_wrong_agent():
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assert (
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result
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== "\nError executing tool. Co-worker mentioned on the Action Input not found, it must to be one of the following options: researcher.\n"
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== "\nError executing tool. Co-worker mentioned on the Action Input not found, it must to be one of the following options:\n- researcher.\n"
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)
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@@ -64,5 +64,5 @@ def test_ask_question_to_wrong_agent():
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assert (
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result
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== "\nError executing tool. Co-worker mentioned on the Action Input not found, it must to be one of the following options: researcher.\n"
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== "\nError executing tool. Co-worker mentioned on the Action Input not found, it must to be one of the following options:\n- researcher.\n"
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)
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@@ -10,16 +10,17 @@ interactions:
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the result of using the tool\n```\n\nWhen you have a response for your task,
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or if you do not need to use a tool, you MUST use the format:\n\n```\nThought:
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Do I need to use a tool? No\nFinal Answer: [your response here]```This is the
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summary of your work so far:\nThe human asks the AI for its opinion on AI Agents,
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assuming it dislikes them. The AI, as a researcher, maintains a neutral perspective
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on all subjects, including AI agents. It recognizes their potential to revolutionize
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sectors like healthcare, education, and finance, and acknowledges their capability
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to perform tasks requiring human intelligence. However, it also notes that these
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tools can be used for both beneficial and harmful purposes, emphasizing the
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importance of ethical guidelines and regulations.Begin! This is VERY important
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to you, your job depends on it!\n\nCurrent Task: do you hate AI Agents?\nThis
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is the context you''re working with:\nI heard you LOVE them\n"}], "model": "gpt-4",
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"n": 1, "stop": ["\nObservation"], "stream": false, "temperature": 0.7}'
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summary of your work so far:\nThe human asks the AI''s opinion on AI Agents,
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suggesting that the AI dislikes them. The AI, identifying as a researcher, clarifies
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that its opinions are based on research and study. It views AI Agents as a key
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part of technological advancement, with potential to improve lives through automation
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and decision-making assistance. However, it also acknowledges challenges, including
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job displacement risk and ethical implications. The AI aims to maintain an objective
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view for accurate analysis, rather than loving or hating AI Agents.Begin! This
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is VERY important to you, your job depends on it!\n\nCurrent Task: do you hate
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AI Agents?\nThis is the context you''re working with:\nI heard you LOVE them\n"}],
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"model": "gpt-4", "n": 1, "stop": ["\nObservation"], "stream": true, "temperature":
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0.7}'
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headers:
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accept:
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- application/json
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@@ -28,12 +29,12 @@ interactions:
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connection:
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- keep-alive
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content-length:
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@@ -56,34 +57,405 @@ interactions:
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|
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No"},"logprobs":null,"finish_reason":null}]}
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data: {"id":"chatcmpl-8rjey60Ubh4qJkkFFqnsmTZWzsGWf","object":"chat.completion.chunk","created":1707817592,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
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an"},"logprobs":null,"finish_reason":null}]}
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|
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data: {"id":"chatcmpl-8rjey60Ubh4qJkkFFqnsmTZWzsGWf","object":"chat.completion.chunk","created":1707817592,"model":"gpt-4-0613","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
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AI"},"logprobs":null,"finish_reason":null}]}
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researcher"},"logprobs":null,"finish_reason":null}]}
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crew.kickoff()
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== '"AI agents, the digital masterminds at the heart of the 21st-century revolution, are shaping a new era of intelligence and innovation. They are autonomous entities, capable of observing their environment, making decisions, and acting on them, all in pursuit of a specific goal. From streamlining operations in logistics to personalizing customer experiences in retail, AI agents are transforming how businesses operate. But their potential extends far beyond the corporate world. They are the sentinels protecting our digital frontiers, the virtual assistants making our lives easier, and the unseen hands guiding autonomous vehicles. As this technology evolves, AI agents will play an increasingly central role in our world, ushering in an era of unprecedented efficiency, personalization, and productivity. But with great power comes great responsibility, and understanding and harnessing this potential responsibly will be one of our greatest challenges and opportunities in the coming years."'
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== "The Senior Writer has produced a fantastic 4 paragraph article on AI:\n\n\"Artificial Intelligence, or AI, is often considered the stuff of science fiction, but it is very much a reality in today's world. In simplest terms, AI is a branch of computer science that aims to create machines that mimic human intelligence - think self-driving cars, voice assistants like Siri or Alexa, even your Netflix recommendations. These are all examples of AI in action, silently making our lives easier and more efficient.\n\nThe applications of AI are as vast as our imagination. In healthcare, AI is used to predict diseases and personalize patient care. In finance, algorithms can analyze market trends and make investment decisions. The education sector uses AI to customize learning and identify areas where students need help. Even in creative fields like music and art, AI is making its mark by creating new pieces that are hard to distinguish from those made by humans.\n\nAI's potential for the future is staggering. As technology advances, so too does the complexity and capabilities of AI. It's predicted that AI will play a significant role in tackling some of humanity's biggest challenges, such as climate change and global health crises. Imagine AI systems predicting natural disasters with enough time for us to take preventative measures, or developing new, effective treatments for diseases through data analysis.\n\nHowever, this brave new world does not come without its challenges. Ethical issues are at the forefront, with concerns over privacy and the potential misuse of AI. There's also the question of job displacement due to automation, and the need for laws and regulations to keep pace with this rapidly advancing technology. Despite these hurdles, the promise of AI and its ability to transform our world is an exciting prospect, one that we are only just beginning to explore.\""
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Reference in New Issue
Block a user