andre/crewAI
1
0
Fork 0
mirror of https://github.com/crewAIInc/crewAI.git synced 2026-01-10 16:48:30 +00:00
Code Issues Actions 5 Packages Projects Releases Wiki Activity

updating tests

Browse Source
This commit is contained in:
João Moura
2024-09-23 03:58:41 -03:00
parent 035929814e
commit 355338767c
98 changed files with 36353 additions and 16646 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
tests/agent_tools/agent_tools_test.py
View File

@@ -24,7 +24,7 @@ def test_delegate_work():
assert (
result
== "While it's a common misconception that I might \"hate\" AI agents, the reality is much more nuanced. As an expert in technology research, especially in the realm of AI, I have a deep appreciation for both the potential and the challenges that AI agents present.\n\nAI agents, which can be broadly defined as autonomous software entities that perform tasks on behalf of users or other programs, are transforming numerous aspects of our daily lives and industries. Here are a few key points to consider:\n\n1. **Advantages of AI Agents**:\n - **Automation and Efficiency**: AI agents can handle repetitive and time-consuming tasks efficiently, freeing up human workers to focus on more complex and creative activities.\n - **Availability**: Unlike humans, AI agents can operate 24/7 without breaks, providing continuous service and support.\n - **Scalability**: AI agents can be deployed across different platforms and industries, scaling solutions quickly and effectively.\n - **Data Analysis and Insights**: They can process vast amounts of data rapidly, providing insights that would be difficult, if not impossible, for humans to derive on their own.\n\n2. **Challenges and Concerns**:\n - **Ethical Implications**: There are significant concerns regarding the ethical use of AI agents, particularly related to privacy, bias, and decision-making transparency.\n - **Job Displacement**: While AI agents increase efficiency, they also raise concerns about potential job displacement in certain sectors.\n - **Dependence and Reliability**: Over-reliance on AI agents could lead to vulnerabilities if the technology fails or is compromised.\n\n3. **Looking Forward**:\n - **Collaboration Between Humans and AI**: The best outcomes are likely to come from a hybrid approach where AI agents augment human capabilities rather than replace them outright.\n - **Regulation and Standards**: There is a growing need for clear regulations and standards to ensure the ethical development and deployment of AI agents.\n - **Continuous Improvement**: The technology behind AI agents is constantly evolving. Continuous research and development are essential to address current limitations and maximize benefits.\n\nIn conclusion, my perspective on AI agents is not one of disdain but rather a cautious optimism. They hold incredible promise for transforming various sectors and improving efficiencies, but this potential comes with significant responsibilities. It's essential to address the ethical, social, and technical challenges to harness the full benefits of AI agents while mitigating potential downsides. Thus, thoughtful consideration and ongoing dialogue about the role of AI agents in society are crucial."
== 'AI agents are a significant advancement in the field of artificial intelligence, offering immense potential and diverse applications across various sectors. However, the perception that I "hate" them is not entirely accurate. My stance on AI agents is more nuanced and analytical rather than emotional. Here\'s a comprehensive take:\n\n1. **Capabilities and Applications**:\n - **Automation**: AI agents excel in performing repetitive and mundane tasks, allowing human workers to focus on more complex and creative activities.\n - **Efficiency**: They can process vast amounts of data at speeds incomprehensible to humans, leading to quicker decision-making and problem-solving.\n - **Personalization**: In customer service, AI agents provide personalized experiences by analyzing customer data and predicting preferences.\n - **Healthcare**: AI agents assist in diagnosing diseases, recommending treatments, and even predicting outbreaks by analyzing medical data.\n\n2. **Benefits**:\n - **Increased Productivity**: By automating routine tasks, businesses can significantly improve productivity and reduce operational costs.\n - **24/7 Availability**: Unlike human workers, AI agents can operate continuously without breaks, providing constant support and monitoring.\n - **Data-Driven Insights**: AI agents can uncover patterns and insights from data that might be missed by human analysts.\n\n3. **Challenges and Concerns**:\n - **Job Displacement**: There is a legitimate concern about AI agents replacing human jobs, particularly in roles involving routine and predictable tasks.\n - **Bias and Fairness**: AI agents can perpetuate and even amplify existing biases found in the data they are trained on, leading to unfair or discriminatory outcomes.\n - **Transparency**: The decision-making process of AI agents can sometimes be opaque, making it difficult to understand how they arrive at certain conclusions (known as the "black box" problem).\n - **Security**: AI systems can be vulnerable to hacking and other malicious activities, posing significant security risks.\n\n4. **Ethical Considerations**:\n - **Accountability**: Who is responsible when an AI agent makes a mistake? This question remains complex and is a major ethical consideration.\n - **Privacy**: The extensive use of data by AI agents raises concerns about user privacy and the potential for misuse of sensitive information.\n - **Consent**: Users must be informed and provide consent regarding how their data is used by AI agents.\n\n5. **Future Directions**:\n - **Regulation and Governance**: Developing robust regulatory frameworks to oversee the deployment and use of AI agents is crucial.\n - **Continuous Improvement**: Ongoing research is needed to enhance the capabilities of AI agents while addressing their current limitations and ethical concerns.\n - **Collaboration**: Encouraging collaboration between AI agents and human workers can lead to hybrid systems that leverage the strengths of both.\n\nIn summary, while AI agents offer numerous benefits and transformative potential, they also come with a set of challenges and ethical questions that must be carefully managed. My analysis focuses on a balanced view, recognizing both the opportunities and the complexities associated with AI agents. \n\nThus, it\'s not about hating AI agents, but rather critically evaluating their impact and advocating for responsible and fair implementation. This ensures that while we harness their capabilities, we also address and mitigate any negative repercussions.'
)
@@ -38,7 +38,7 @@ def test_delegate_work_with_wrong_co_worker_variable():
assert (
result
== "It's not accurate to say that I hate AI agents. My stance is more nuanced and rooted in a deep understanding of their capabilities, limitations, and the potential impact on various sectors.\n\nAI agents are software entities that perform tasks autonomously on behalf of users. They are designed to mimic human decision-making and problem-solving abilities. The advances in machine learning, natural language processing, and data analytics have significantly improved the performance of AI agents, making them valuable tools for automation, customer service, data analysis, and more.\n\nHowever, my concerns about AI agents stem from several key points:\n\n1. **Ethical Considerations**: AI agents can perpetuate biases present in their training data. If the data used to train these agents contain biases, whether related to gender, race, or other factors, the AI can replicate and even amplify these biases in its operations. This has serious ethical implications for fairness and equality.\n\n2. **Job Displacement**: While AI agents can enhance efficiency and productivity, they can also displace human workers. Many routine and repetitive tasks previously performed by humans are now automated, leading to job losses in certain sectors. This aspect calls for a balanced approach where human roles are redefined rather than completely eliminated.\n\n3. **Transparency and Accountability**: AI agents often operate as \"black boxes,\" meaning their decision-making processes are not transparent. If an AI agent makes an error—whether in financial transactions, medical diagnoses, or legal decisions—it can be challenging to understand why the error occurred and who is responsible. Ensuring transparency and accountability is crucial for trust and reliability.\n\n4. **Security and Privacy**: AI agents often deal with vast amounts of personal data. Ensuring the security and privacy of this data is paramount. There are risks associated with data breaches and the misuse of personal information, which can have significant repercussions for individuals and organizations.\n\nDespite these concerns, I also recognize the immense potential of AI agents to drive innovation, improve efficiency, and provide solutions to complex problems. The key is to develop and deploy AI responsibly, with robust regulatory frameworks and ethical guidelines.\n\nIn conclusion, I don't hate AI agents. Instead, I advocate for a balanced perspective that acknowledges their benefits while addressing their challenges. By doing so, we can harness the power of AI agents for the greater good, ensuring they contribute positively to society."
== "While it might have circulated that I \"hate\" AI agents, I think it's more nuanced than that. AI agents are incredibly sophisticated pieces of technology that carry immense potential for transforming multiple sectors like healthcare, finance, and customer service.\n\nFirst, let's define what AI agents are. AI agents are autonomous entities designed to perform specific tasks, often mimicking human decision-making and problem-solving abilities. They can range from simple chatbots to complex systems capable of managing large-scale operations.\n\nThe Pros:\n1. Efficiency: AI agents can complete tasks faster and more accurately than humans. For instance, they can instantaneously process large datasets to provide real-time insights.\n2. Scalability: With AI agents, services can be scaled without the proportional increase in cost, which is particularly beneficial for businesses looking to grow without extensive human resource expenditures.\n3. 24/7 Availability: Unlike human workers, AI agents can operate around the clock, increasing productivity and availability, particularly in customer service domains.\n4. Data Handling: AI agents can handle and process data at speeds and volumes that far exceed human capabilities, enabling smarter business decisions and innovations.\n\nHowever, there are some drawbacks and concerns:\n1. Ethical Issues: AI agents often face ethical dilemmas, especially when their decision-making processes are opaque. Bias in AI systems can perpetuate existing inequalities, making transparency and fairness critical issues.\n2. Job Displacement: One significant concern is the potential for AI agents to displace human workers, particularly in industries reliant on routine, repetitive tasks.\n3. Dependency: Over-reliance on AI can lead to skill erosion among human employees and vulnerabilities in cases where technology fails or is compromised.\n4. Security: Given their access to sensitive data, AI agents can be attractive targets for cyber-attacks. Ensuring robust security measures is essential.\n\nSo, while I recognize the transformative power and benefits of AI agents, it's crucial to approach them with a balanced perspective. Adequate governance, ethical considerations, and transparency are needed to harness their potential responsibly. It's not a matter of hating them, but rather advocating for their responsible and fair use in society."
)
@@ -52,7 +52,7 @@ def test_ask_question():
assert (
result
== "As a researcher specialized in technology with a particular focus on AI and AI agents, my stance on AI agents isn't rooted in emotional responses like hate or love. Rather, it is grounded in objective analysis and thoughtful consideration of their capabilities, ethics, and impact on society.\n\nAI agents are powerful tools that can transform various industries, from healthcare and finance to customer service and manufacturing. They have the potential to increase efficiency, improve decision-making, and even solve complex problems that were previously insurmountable. For instance, AI agents can analyze vast amounts of data far more quickly and accurately than humans, leading to advancements in medical research and diagnostics.\n\nHowever, it is equally important to recognize the ethical and societal implications of AI agents. Issues such as data privacy, algorithmic bias, and the potential displacement of jobs need to be carefully managed. As a researcher, my role is to study these aspects comprehensively, provide balanced insights, and advocate for responsible development and deployment of AI technologies.\n\nSo, to address your question directly: I don't hate AI agents. I appreciate their potential and am keenly aware of their challenges. My goal is to contribute to a future where AI agents are designed and used ethically and effectively to benefit humanity."
== 'As a researcher specialized in technology, particularly in artificial intelligence (AI) and AI agents, my perspective is shaped by the extensive analysis and study I engage in daily. AI agents are neither inherently good nor bad; they are tools with the potential for both positive and negative impacts depending on how they are designed, implemented, and used.\n\nI do not "hate" AI agents. In fact, I find them fascinating and hold an appreciation for their capabilities and the potential they have to transform various sectors, from healthcare and education to finance and entertainment. AI agents can offer significant benefits, such as improving efficiency, personalizing user experiences, and even tackling complex problems that are beyond human capacity to solve alone.\n\nHowever, it is essential to approach AI with a critical eye. There are legitimate concerns around privacy, security, ethical use, and the socio-economic implications of AI deployment. Ensuring that AI is developed responsibly and is aligned with ethical standards is crucial for minimizing potential negatives.\n\nIn summary, my stance on AI agents is informed by a balanced view that recognizes both their potential and the necessity for responsible stewardship. The enthusiasm I have for their capabilities is tempered by a commitment to understanding and addressing the challenges they present.'
)
@@ -66,7 +66,7 @@ def test_ask_question_with_wrong_co_worker_variable():
assert (
result
== "As an expert researcher specialized in technology, I have a profound appreciation for AI and AI agents. They represent a pinnacle of human innovation and have the potential to greatly enhance various aspects of our lives. AI agents can assist in automating mundane tasks, providing insights through data analysis, and even offering companionship to those in need. However, it's also essential to approach AI with a balanced perspective, acknowledging both its strengths and the ethical considerations it raises. In short, I don't hate AI agents; I recognize their immense potential and value while being mindful of the responsibilities that come with their development and deployment."
== "As an expert researcher specialized in technology and AI, I do not harbor feelings of hate towards AI agents. In fact, the notion of hate or love for a technology is somewhat misplaced. AI agents are tools created to solve specific problems and enhance our capabilities. They can transform industries, improve efficiencies, and even save lives in fields such as healthcare. My enthusiasm and interest in AI agents come from their potential to innovate and drive progress. While it is essential to be mindful of ethical considerations and responsible use, it is equally important to remain objective. My goal as a researcher is to contribute to balanced and insightful analysis, exploring both the benefits and challenges of AI, and not to personalize or emotionally charge the discussion about technological tools."
)
@@ -80,7 +80,7 @@ def test_delegate_work_withwith_coworker_as_array():
assert (
result
== "In addressing your query about AI agents, it's crucial to clarify my stance. While I don't \"hate\" AI agents, I have a nuanced perspective that balances both their potential benefits and inherent drawbacks. This balanced view is essential for understanding the complex role that AI agents play in today's technology landscape.\n\nAI agents are remarkable tools that can automate tasks, provide intelligent recommendations, and enhance user experiences. They harness advancements in machine learning, natural language processing, and big data analytics to perform a wide range of functions, from personal assistants like Siri and Alexa to sophisticated customer service bots and autonomous systems in various industries.\n\nThe Potential Benefits of AI Agents:\n1. **Automation and Efficiency**: AI agents can handle repetitive and mundane tasks, freeing up human workers to focus on more creative and high-value activities. This can lead to increased productivity and operational efficiency in businesses.\n2. **Data-Driven Insights**: By analyzing vast amounts of data, AI agents can provide actionable insights that inform decision-making processes in areas like finance, healthcare, and marketing.\n3. **Personalization**: AI agents can tailor recommendations and services based on individual user preferences and behaviors, enhancing user satisfaction and engagement.\n4. **24/7 Availability**: Unlike human workers, AI agents can operate continuously without the need for breaks, providing round-the-clock support and services.\n\nHowever, there are also several challenges and concerns associated with AI agents that cannot be overlooked:\n\n1. **Ethical Considerations**: The deployment of AI agents raises ethical questions about privacy, surveillance, and the potential for bias in their algorithms. Ensuring that AI systems are transparent and fair is a critical issue.\n2. **Job Displacement**: While AI agents can increase efficiency, they also have the potential to displace human workers, leading to concerns about unemployment and the need for workforce reskilling.\n3. **Trust and Reliability**: Building trust in AI systems is essential. Users need to be confident that AI agents will perform their tasks accurately and reliably, without unexpected failures or errors.\n4. **Control and Accountability**: Determining who is accountable when AI agents make errors or cause harm is a complex issue, especially when these systems operate autonomously or with minimal human oversight.\n\nIn summary, my view on AI agents is not one of antagonism but of cautious optimism. I recognize the transformative potential of AI agents in various domains, but I also emphasize the importance of addressing the ethical, economic, and technical challenges they present. Our goal should be to develop and deploy AI agents in a way that maximizes their benefits while mitigating their risks. This balanced approach will ensure that AI agents can be a positive force in society, driving innovation and improving quality of life without compromising ethical standards or societal values."
== "AI agents, like any technology, have both significant advantages and notable challenges. Initially, the skepticism surrounding AI agents might stem from concerns about their implementation, ethical considerations, or potential impact on jobs. However, let's delve into a comprehensive analysis of their roles and implications.\n\nFirstly, AI agents are software entities that perform tasks autonomously on behalf of a user or another program with some degree of intelligence and learning capability. These agents can interpret data, learn from patterns, and even make decisions based on the information they process. They are essential across various sectors, including healthcare, finance, customer service, and logistics.\n\nPositive Aspects:\n1. **Efficiency and Productivity:** AI agents can process large volumes of data faster than humans, enabling quicker decision-making. This efficiency can significantly boost productivity in organizations by automating repetitive tasks, allowing human workers to focus on more strategic activities.\n\n2. **24/7 Operation:** Unlike humans, AI agents can work around the clock without fatigue. This capability is crucial for industries that require continuous operation, such as monitoring systems in cybersecurity or customer service through chatbots.\n\n3. **Personalization:** AI agents can tailor experiences to individual users by learning from their behavior. For instance, recommendation systems used by services like Netflix or Amazon provide personalized content, enhancing user satisfaction and engagement.\n\n4. **Accuracy and Precision:** AI agents, when properly trained, can perform tasks with a high degree of accuracy, reducing the likelihood of human error. This precision is especially valuable in fields such as medical diagnostics, where accurate analysis can be life-saving.\n\nChallenges and Concerns:\n1. **Ethical Issues:** The deployment of AI agents raises ethical questions regarding privacy, data security, and potential biases in decision-making. It is essential to ensure that AI systems are transparent, fair, and respect user privacy.\n\n2. **Job Displacement:** As AI agents automate more tasks, there is a genuine concern about job loss, particularly in roles that involve routine and repetitive tasks. It is critical to address this issue by reskilling and upskilling the workforce to adapt to the changing job landscape.\n\n3. **Dependence on Data:** AI agents rely heavily on large datasets to learn and make decisions. If the data is biased or incomplete, the AI’s performance and reliability can be compromised. This dependence also raises questions about data ownership and governance.\n\n4. **Complexity and Accountability:** Understanding and managing AI agents can be complex, and determining accountability in the event of failures or erroneous decisions can be challenging. Developing robust frameworks for monitoring and accountability is crucial.\n\nIn conclusion, while there are valid concerns associated with AI agents, they also offer transformative potential in improving efficiency, personalization, and accuracy in various applications. It is important to engage in balanced discussions, address ethical considerations, and develop policies to mitigate potential negative impacts while leveraging the benefits of AI technology. Hence, my stance is not of outright hatred, but one of cautious optimism, advocating for responsible development and deployment of AI agents."
)
@@ -94,7 +94,7 @@ def test_ask_question_with_coworker_as_array():
assert (
result
== "No, I do not hate AI agents. In fact, I appreciate their potential and the positive impact they can have in various fields. AI agents can perform tasks that are either too mundane or too complex for humans, thereby increasing productivity and allowing us to focus on more creative and strategic activities. Moreover, they can process and analyze vast amounts of data much more quickly and accurately than humans, leading to better decision-making and innovations. As a researcher specialized in technology, I am always excited to see advancements in AI and AI agents, as they push the boundaries of what technology can achieve. So, yes, I do love the possibilities they bring to our world."
== "While I understand there are mixed feelings about AI agents, I do not hate them. In fact, I see significant potential in AI and AI agents to transform various industries and improve our daily lives. My enthusiasm for AI comes from appreciating the advancements it's bringing, such as personalized recommendations, improved diagnostics in healthcare, and more efficient business processes.\n\nHowever, it's essential to approach AI with a balanced perspective. Ethical considerations, privacy concerns, and the potential for job displacement are critical issues that need to be addressed. I believe in responsible AI development, where the focus is on maximizing benefits while minimizing potential harms.\n\nSo, in short, I love the potential and capabilities of AI agents when developed and implemented responsibly and ethically."
)

69
tests/agent_tools/cassettes/test_ask_question.yaml
View File

@@ -12,7 +12,7 @@ interactions:
shared.\nyou MUST return the actual complete content as the final answer, not
a summary.\n\nThis is the context you''re working with:\nI heard you LOVE them\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:"}], "model": "gpt-4o", "stop": ["\nObservation:"]}'
Answer, your job depends on it!\n\nThought:"}], "model": "gpt-4o"}'
headers:
accept:
- application/json
@@ -21,16 +21,16 @@ interactions:
connection:
- keep-alive
content-length:
- '1049'
- '1021'
content-type:
- application/json
cookie:
- __cf_bm=.8.5x0rqghNdtUCxfmwblfhuXiKyPm_cRq.NIa0heL0-1726642369-1.0.1.1-VbsAGqjOt45ZD50K2QW2oZrByLLIh6w8K4nAkLthTbXgU5qTgdf0mhvFId8Q2F3DcHUw9E72lVIZEN.YVlYINQ;
_cfuvid=o5s1Ux898x0eFNtzUCnG996iqyX3LgXDXq99C5oqnVE-1726642369248-0.0.1.1-604800000
- __cf_bm=MSMbC3L9m33fbO5Mdj70NJMu6kJCjhuwRcYuWJdJkYQ-1727071769-1.0.1.1-Dok5J431gUNvLRyLNrUo0A.FXXIuZUUooIMFSj74XUDgQJt0mlhf6QEEo6s9wXLhByXrdKr6cxYGBEkQoDslXg;
_cfuvid=5cK2hfLqTXw1WjB81uT.sGmmA67JIxSKSQeEHQ3zOQw-1727071769966-0.0.1.1-604800000
host:
- api.openai.com
user-agent:
- OpenAI/Python 1.46.0
- OpenAI/Python 1.47.0
x-stainless-arch:
- arm64
x-stainless-async:
@@ -40,7 +40,7 @@ interactions:
x-stainless-os:
- MacOS
x-stainless-package-version:
- 1.46.0
- 1.47.0
x-stainless-raw-response:
- 'true'
x-stainless-runtime:
@@ -50,37 +50,36 @@ interactions:
method: POST
uri: https://api.openai.com/v1/chat/completions
response:
content: "{\n \"id\": \"chatcmpl-A8itGodu0IQ3bZNxRStGoqFBPnObt\",\n \"object\":
\"chat.completion\",\n \"created\": 1726642546,\n \"model\": \"gpt-4o-2024-05-13\",\n
content: "{\n \"id\": \"chatcmpl-AAWjmuMRGqp9cs5FAx9HQBlWHW4EB\",\n \"object\":
\"chat.completion\",\n \"created\": 1727072486,\n \"model\": \"gpt-4o-2024-05-13\",\n
\ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\":
\"assistant\",\n \"content\": \"Thought: I now can give a great answer\\nFinal
Answer: As a researcher specialized in technology with a particular focus on
AI and AI agents, my stance on AI agents isn't rooted in emotional responses
like hate or love. Rather, it is grounded in objective analysis and thoughtful
consideration of their capabilities, ethics, and impact on society.\\n\\nAI
agents are powerful tools that can transform various industries, from healthcare
and finance to customer service and manufacturing. They have the potential to
increase efficiency, improve decision-making, and even solve complex problems
that were previously insurmountable. For instance, AI agents can analyze vast
amounts of data far more quickly and accurately than humans, leading to advancements
in medical research and diagnostics.\\n\\nHowever, it is equally important to
recognize the ethical and societal implications of AI agents. Issues such as
data privacy, algorithmic bias, and the potential displacement of jobs need
to be carefully managed. As a researcher, my role is to study these aspects
comprehensively, provide balanced insights, and advocate for responsible development
and deployment of AI technologies.\\n\\nSo, to address your question directly:
I don't hate AI agents. I appreciate their potential and am keenly aware of
their challenges. My goal is to contribute to a future where AI agents are designed
and used ethically and effectively to benefit humanity.\\n\\n\",\n \"refusal\":
null\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n
\ }\n ],\n \"usage\": {\n \"prompt_tokens\": 199,\n \"completion_tokens\":
257,\n \"total_tokens\": 456,\n \"completion_tokens_details\": {\n \"reasoning_tokens\":
0\n }\n },\n \"system_fingerprint\": \"fp_a5d11b2ef2\"\n}\n"
Answer: As a researcher specialized in technology, particularly in artificial
intelligence (AI) and AI agents, my perspective is shaped by the extensive analysis
and study I engage in daily. AI agents are neither inherently good nor bad;
they are tools with the potential for both positive and negative impacts depending
on how they are designed, implemented, and used.\\n\\nI do not \\\"hate\\\"
AI agents. In fact, I find them fascinating and hold an appreciation for their
capabilities and the potential they have to transform various sectors, from
healthcare and education to finance and entertainment. AI agents can offer significant
benefits, such as improving efficiency, personalizing user experiences, and
even tackling complex problems that are beyond human capacity to solve alone.\\n\\nHowever,
it is essential to approach AI with a critical eye. There are legitimate concerns
around privacy, security, ethical use, and the socio-economic implications of
AI deployment. Ensuring that AI is developed responsibly and is aligned with
ethical standards is crucial for minimizing potential negatives.\\n\\nIn summary,
my stance on AI agents is informed by a balanced view that recognizes both their
potential and the necessity for responsible stewardship. The enthusiasm I have
for their capabilities is tempered by a commitment to understanding and addressing
the challenges they present.\",\n \"refusal\": null\n },\n \"logprobs\":
null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\":
199,\n \"completion_tokens\": 253,\n \"total_tokens\": 452,\n \"completion_tokens_details\":
{\n \"reasoning_tokens\": 0\n }\n },\n \"system_fingerprint\": \"fp_e375328146\"\n}\n"
headers:
CF-Cache-Status:
- DYNAMIC
CF-RAY:
- 8c4f6ea85a70a67a-MIA
- 8c786f3c5b10a4ee-MIA
Connection:
- keep-alive
Content-Encoding:
@@ -88,7 +87,7 @@ interactions:
Content-Type:
- application/json
Date:
- Wed, 18 Sep 2024 06:55:49 GMT
- Mon, 23 Sep 2024 06:21:29 GMT
Server:
- cloudflare
Transfer-Encoding:
@@ -97,12 +96,10 @@ interactions:
- nosniff
access-control-expose-headers:
- X-Request-ID
alt-svc:
- h3=":443"; ma=86400
openai-organization:
- crewai-iuxna1
openai-processing-ms:
- '2905'
- '2930'
openai-version:
- '2020-10-01'
strict-transport-security:
@@ -120,7 +117,7 @@ interactions:
x-ratelimit-reset-tokens:
- 0s
x-request-id:
- req_ee404d560531f43e473f76818a52432f
- req_bfcf5d536c6b2dd90003d1589ef60e53
http_version: HTTP/1.1
status_code: 200
version: 1

52
tests/agent_tools/cassettes/test_ask_question_with_coworker_as_array.yaml
View File

@@ -12,7 +12,7 @@ interactions:
shared.\nyou MUST return the actual complete content as the final answer, not
a summary.\n\nThis is the context you''re working with:\nI heard you LOVE them\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:"}], "model": "gpt-4o", "stop": ["\nObservation:"]}'
Answer, your job depends on it!\n\nThought:"}], "model": "gpt-4o"}'
headers:
accept:
- application/json
@@ -21,16 +21,16 @@ interactions:
connection:
- keep-alive
content-length:
- '1049'
- '1021'
content-type:
- application/json
cookie:
- __cf_bm=.8.5x0rqghNdtUCxfmwblfhuXiKyPm_cRq.NIa0heL0-1726642369-1.0.1.1-VbsAGqjOt45ZD50K2QW2oZrByLLIh6w8K4nAkLthTbXgU5qTgdf0mhvFId8Q2F3DcHUw9E72lVIZEN.YVlYINQ;
_cfuvid=o5s1Ux898x0eFNtzUCnG996iqyX3LgXDXq99C5oqnVE-1726642369248-0.0.1.1-604800000
- __cf_bm=MSMbC3L9m33fbO5Mdj70NJMu6kJCjhuwRcYuWJdJkYQ-1727071769-1.0.1.1-Dok5J431gUNvLRyLNrUo0A.FXXIuZUUooIMFSj74XUDgQJt0mlhf6QEEo6s9wXLhByXrdKr6cxYGBEkQoDslXg;
_cfuvid=5cK2hfLqTXw1WjB81uT.sGmmA67JIxSKSQeEHQ3zOQw-1727071769966-0.0.1.1-604800000
host:
- api.openai.com
user-agent:
- OpenAI/Python 1.46.0
- OpenAI/Python 1.47.0
x-stainless-arch:
- arm64
x-stainless-async:
@@ -40,7 +40,7 @@ interactions:
x-stainless-os:
- MacOS
x-stainless-package-version:
- 1.46.0
- 1.47.0
x-stainless-raw-response:
- 'true'
x-stainless-runtime:
@@ -50,28 +50,30 @@ interactions:
method: POST
uri: https://api.openai.com/v1/chat/completions
response:
content: "{\n \"id\": \"chatcmpl-A8itTPbch8sPUbRd8BJdzF4NXLPhg\",\n \"object\":
\"chat.completion\",\n \"created\": 1726642559,\n \"model\": \"gpt-4o-2024-05-13\",\n
content: "{\n \"id\": \"chatcmpl-AAWk0CLTdglp9262WEo1Ijc96p8lr\",\n \"object\":
\"chat.completion\",\n \"created\": 1727072500,\n \"model\": \"gpt-4o-2024-05-13\",\n
\ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\":
\"assistant\",\n \"content\": \"Thought: I now can give a great answer\\nFinal
Answer: No, I do not hate AI agents. In fact, I appreciate their potential and
the positive impact they can have in various fields. AI agents can perform tasks
that are either too mundane or too complex for humans, thereby increasing productivity
and allowing us to focus on more creative and strategic activities. Moreover,
they can process and analyze vast amounts of data much more quickly and accurately
than humans, leading to better decision-making and innovations. As a researcher
specialized in technology, I am always excited to see advancements in AI and
AI agents, as they push the boundaries of what technology can achieve. So, yes,
I do love the possibilities they bring to our world.\",\n \"refusal\":
null\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n
\ }\n ],\n \"usage\": {\n \"prompt_tokens\": 199,\n \"completion_tokens\":
144,\n \"total_tokens\": 343,\n \"completion_tokens_details\": {\n \"reasoning_tokens\":
0\n }\n },\n \"system_fingerprint\": \"fp_a5d11b2ef2\"\n}\n"
Answer: While I understand there are mixed feelings about AI agents, I do not
hate them. In fact, I see significant potential in AI and AI agents to transform
various industries and improve our daily lives. My enthusiasm for AI comes from
appreciating the advancements it's bringing, such as personalized recommendations,
improved diagnostics in healthcare, and more efficient business processes.\\n\\nHowever,
it's essential to approach AI with a balanced perspective. Ethical considerations,
privacy concerns, and the potential for job displacement are critical issues
that need to be addressed. I believe in responsible AI development, where the
focus is on maximizing benefits while minimizing potential harms.\\n\\nSo, in
short, I love the potential and capabilities of AI agents when developed and
implemented responsibly and ethically.\",\n \"refusal\": null\n },\n
\ \"logprobs\": null,\n \"finish_reason\": \"stop\"\n }\n ],\n
\ \"usage\": {\n \"prompt_tokens\": 199,\n \"completion_tokens\": 154,\n
\ \"total_tokens\": 353,\n \"completion_tokens_details\": {\n \"reasoning_tokens\":
0\n }\n },\n \"system_fingerprint\": \"fp_e375328146\"\n}\n"
headers:
CF-Cache-Status:
- DYNAMIC
CF-RAY:
- 8c4f6efe3d94a67a-MIA
- 8c786f966ce1a4ee-MIA
Connection:
- keep-alive
Content-Encoding:
@@ -79,7 +81,7 @@ interactions:
Content-Type:
- application/json
Date:
- Wed, 18 Sep 2024 06:56:01 GMT
- Mon, 23 Sep 2024 06:21:42 GMT
Server:
- cloudflare
Transfer-Encoding:
@@ -93,7 +95,7 @@ interactions:
openai-organization:
- crewai-iuxna1
openai-processing-ms:
- '1836'
- '1910'
openai-version:
- '2020-10-01'
strict-transport-security:
@@ -111,7 +113,7 @@ interactions:
x-ratelimit-reset-tokens:
- 0s
x-request-id:
- req_51693c1b5a37ada8922542e71cae13c2
- req_8d51246973b757727a8f673dadde2636
http_version: HTTP/1.1
status_code: 200
version: 1

53
tests/agent_tools/cassettes/test_ask_question_with_wrong_co_worker_variable.yaml
View File

@@ -12,7 +12,7 @@ interactions:
shared.\nyou MUST return the actual complete content as the final answer, not
a summary.\n\nThis is the context you''re working with:\nI heard you LOVE them\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:"}], "model": "gpt-4o", "stop": ["\nObservation:"]}'
Answer, your job depends on it!\n\nThought:"}], "model": "gpt-4o"}'
headers:
accept:
- application/json
@@ -21,16 +21,16 @@ interactions:
connection:
- keep-alive
content-length:
- '1049'
- '1021'
content-type:
- application/json
cookie:
- __cf_bm=.8.5x0rqghNdtUCxfmwblfhuXiKyPm_cRq.NIa0heL0-1726642369-1.0.1.1-VbsAGqjOt45ZD50K2QW2oZrByLLIh6w8K4nAkLthTbXgU5qTgdf0mhvFId8Q2F3DcHUw9E72lVIZEN.YVlYINQ;
_cfuvid=o5s1Ux898x0eFNtzUCnG996iqyX3LgXDXq99C5oqnVE-1726642369248-0.0.1.1-604800000
- __cf_bm=MSMbC3L9m33fbO5Mdj70NJMu6kJCjhuwRcYuWJdJkYQ-1727071769-1.0.1.1-Dok5J431gUNvLRyLNrUo0A.FXXIuZUUooIMFSj74XUDgQJt0mlhf6QEEo6s9wXLhByXrdKr6cxYGBEkQoDslXg;
_cfuvid=5cK2hfLqTXw1WjB81uT.sGmmA67JIxSKSQeEHQ3zOQw-1727071769966-0.0.1.1-604800000
host:
- api.openai.com
user-agent:
- OpenAI/Python 1.46.0
- OpenAI/Python 1.47.0
x-stainless-arch:
- arm64
x-stainless-async:
@@ -40,7 +40,7 @@ interactions:
x-stainless-os:
- MacOS
x-stainless-package-version:
- 1.46.0
- 1.47.0
x-stainless-raw-response:
- 'true'
x-stainless-runtime:
@@ -50,28 +50,29 @@ interactions:
method: POST
uri: https://api.openai.com/v1/chat/completions
response:
content: "{\n \"id\": \"chatcmpl-A8itJwg2Rf7SP6eMx3exZlflDAqWo\",\n \"object\":
\"chat.completion\",\n \"created\": 1726642549,\n \"model\": \"gpt-4o-2024-05-13\",\n
content: "{\n \"id\": \"chatcmpl-AAWjpUYrvj7ClMTGMDbzjPaXp6riF\",\n \"object\":
\"chat.completion\",\n \"created\": 1727072489,\n \"model\": \"gpt-4o-2024-05-13\",\n
\ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\":
\"assistant\",\n \"content\": \"Thought: I now can give a great answer\\nFinal
Answer: As an expert researcher specialized in technology, I have a profound
appreciation for AI and AI agents. They represent a pinnacle of human innovation
and have the potential to greatly enhance various aspects of our lives. AI agents
can assist in automating mundane tasks, providing insights through data analysis,
and even offering companionship to those in need. However, it's also essential
to approach AI with a balanced perspective, acknowledging both its strengths
and the ethical considerations it raises. In short, I don't hate AI agents;
I recognize their immense potential and value while being mindful of the responsibilities
that come with their development and deployment.\",\n \"refusal\": null\n
\ },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n }\n
\ ],\n \"usage\": {\n \"prompt_tokens\": 199,\n \"completion_tokens\":
131,\n \"total_tokens\": 330,\n \"completion_tokens_details\": {\n \"reasoning_tokens\":
0\n }\n },\n \"system_fingerprint\": \"fp_a5d11b2ef2\"\n}\n"
Answer: As an expert researcher specialized in technology and AI, I do not harbor
feelings of hate towards AI agents. In fact, the notion of hate or love for
a technology is somewhat misplaced. AI agents are tools created to solve specific
problems and enhance our capabilities. They can transform industries, improve
efficiencies, and even save lives in fields such as healthcare. My enthusiasm
and interest in AI agents come from their potential to innovate and drive progress.
While it is essential to be mindful of ethical considerations and responsible
use, it is equally important to remain objective. My goal as a researcher is
to contribute to balanced and insightful analysis, exploring both the benefits
and challenges of AI, and not to personalize or emotionally charge the discussion
about technological tools.\",\n \"refusal\": null\n },\n \"logprobs\":
null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\":
199,\n \"completion_tokens\": 157,\n \"total_tokens\": 356,\n \"completion_tokens_details\":
{\n \"reasoning_tokens\": 0\n }\n },\n \"system_fingerprint\": \"fp_e375328146\"\n}\n"
headers:
CF-Cache-Status:
- DYNAMIC
CF-RAY:
- 8c4f6ebc9a84a67a-MIA
- 8c786f517df3a4ee-MIA
Connection:
- keep-alive
Content-Encoding:
@@ -79,7 +80,7 @@ interactions:
Content-Type:
- application/json
Date:
- Wed, 18 Sep 2024 06:55:51 GMT
- Mon, 23 Sep 2024 06:21:31 GMT
Server:
- cloudflare
Transfer-Encoding:
@@ -88,12 +89,10 @@ interactions:
- nosniff
access-control-expose-headers:
- X-Request-ID
alt-svc:
- h3=":443"; ma=86400
openai-organization:
- crewai-iuxna1
openai-processing-ms:
- '2379'
- '1901'
openai-version:
- '2020-10-01'
strict-transport-security:
@@ -111,7 +110,7 @@ interactions:
x-ratelimit-reset-tokens:
- 0s
x-request-id:
- req_15a5949e2566bb034b07c4cdad9cd404
- req_81054bfacae2244f4fdb8ea8dff9060c
http_version: HTTP/1.1
status_code: 200
version: 1

114
tests/agent_tools/cassettes/test_delegate_work.yaml
View File

@@ -12,8 +12,7 @@ interactions:
context shared.\nyou MUST return the actual complete content as the final answer,
not a summary.\n\nThis is the context you''re working with:\nI heard you hate
them\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:"}], "model": "gpt-4o",
"stop": ["\nObservation:"]}'
your best Final Answer, your job depends on it!\n\nThought:"}], "model": "gpt-4o"}'
headers:
accept:
- application/json
@@ -22,16 +21,16 @@ interactions:
connection:
- keep-alive
content-length:
- '1055'
- '1027'
content-type:
- application/json
cookie:
- __cf_bm=.8.5x0rqghNdtUCxfmwblfhuXiKyPm_cRq.NIa0heL0-1726642369-1.0.1.1-VbsAGqjOt45ZD50K2QW2oZrByLLIh6w8K4nAkLthTbXgU5qTgdf0mhvFId8Q2F3DcHUw9E72lVIZEN.YVlYINQ;
_cfuvid=o5s1Ux898x0eFNtzUCnG996iqyX3LgXDXq99C5oqnVE-1726642369248-0.0.1.1-604800000
- __cf_bm=MSMbC3L9m33fbO5Mdj70NJMu6kJCjhuwRcYuWJdJkYQ-1727071769-1.0.1.1-Dok5J431gUNvLRyLNrUo0A.FXXIuZUUooIMFSj74XUDgQJt0mlhf6QEEo6s9wXLhByXrdKr6cxYGBEkQoDslXg;
_cfuvid=5cK2hfLqTXw1WjB81uT.sGmmA67JIxSKSQeEHQ3zOQw-1727071769966-0.0.1.1-604800000
host:
- api.openai.com
user-agent:
- OpenAI/Python 1.46.0
- OpenAI/Python 1.47.0
x-stainless-arch:
- arm64
x-stainless-async:
@@ -41,7 +40,7 @@ interactions:
x-stainless-os:
- MacOS
x-stainless-package-version:
- 1.46.0
- 1.47.0
x-stainless-raw-response:
- 'true'
x-stainless-runtime:
@@ -51,53 +50,64 @@ interactions:
method: POST
uri: https://api.openai.com/v1/chat/completions
response:
content: "{\n \"id\": \"chatcmpl-A8it3IFHv0h3PfGPsKBeopqXSTLd1\",\n \"object\":
\"chat.completion\",\n \"created\": 1726642533,\n \"model\": \"gpt-4o-2024-05-13\",\n
content: "{\n \"id\": \"chatcmpl-AAWjSnu2hxF0nhpAvarqG4AXhvERf\",\n \"object\":
\"chat.completion\",\n \"created\": 1727072466,\n \"model\": \"gpt-4o-2024-05-13\",\n
\ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\":
\"assistant\",\n \"content\": \"Thought: I now can give a great answer\\nFinal
Answer: While it's a common misconception that I might \\\"hate\\\" AI agents,
the reality is much more nuanced. As an expert in technology research, especially
in the realm of AI, I have a deep appreciation for both the potential and the
challenges that AI agents present.\\n\\nAI agents, which can be broadly defined
as autonomous software entities that perform tasks on behalf of users or other
programs, are transforming numerous aspects of our daily lives and industries.
Here are a few key points to consider:\\n\\n1. **Advantages of AI Agents**:\\n
\ - **Automation and Efficiency**: AI agents can handle repetitive and time-consuming
tasks efficiently, freeing up human workers to focus on more complex and creative
activities.\\n - **Availability**: Unlike humans, AI agents can operate 24/7
without breaks, providing continuous service and support.\\n - **Scalability**:
AI agents can be deployed across different platforms and industries, scaling
solutions quickly and effectively.\\n - **Data Analysis and Insights**: They
can process vast amounts of data rapidly, providing insights that would be difficult,
if not impossible, for humans to derive on their own.\\n\\n2. **Challenges and
Concerns**:\\n - **Ethical Implications**: There are significant concerns
regarding the ethical use of AI agents, particularly related to privacy, bias,
and decision-making transparency.\\n - **Job Displacement**: While AI agents
increase efficiency, they also raise concerns about potential job displacement
in certain sectors.\\n - **Dependence and Reliability**: Over-reliance on
AI agents could lead to vulnerabilities if the technology fails or is compromised.\\n\\n3.
**Looking Forward**:\\n - **Collaboration Between Humans and AI**: The best
outcomes are likely to come from a hybrid approach where AI agents augment human
capabilities rather than replace them outright.\\n - **Regulation and Standards**:
There is a growing need for clear regulations and standards to ensure the ethical
development and deployment of AI agents.\\n - **Continuous Improvement**:
The technology behind AI agents is constantly evolving. Continuous research
and development are essential to address current limitations and maximize benefits.\\n\\nIn
conclusion, my perspective on AI agents is not one of disdain but rather a cautious
optimism. They hold incredible promise for transforming various sectors and
improving efficiencies, but this potential comes with significant responsibilities.
It's essential to address the ethical, social, and technical challenges to harness
the full benefits of AI agents while mitigating potential downsides. Thus, thoughtful
consideration and ongoing dialogue about the role of AI agents in society are
crucial.\",\n \"refusal\": null\n },\n \"logprobs\": null,\n
\ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\":
200,\n \"completion_tokens\": 517,\n \"total_tokens\": 717,\n \"completion_tokens_details\":
{\n \"reasoning_tokens\": 0\n }\n },\n \"system_fingerprint\": \"fp_a5d11b2ef2\"\n}\n"
Answer: \\n\\nAI agents are a significant advancement in the field of artificial
intelligence, offering immense potential and diverse applications across various
sectors. However, the perception that I \\\"hate\\\" them is not entirely accurate.
My stance on AI agents is more nuanced and analytical rather than emotional.
Here's a comprehensive take:\\n\\n1. **Capabilities and Applications**:\\n -
**Automation**: AI agents excel in performing repetitive and mundane tasks,
allowing human workers to focus on more complex and creative activities.\\n
\ - **Efficiency**: They can process vast amounts of data at speeds incomprehensible
to humans, leading to quicker decision-making and problem-solving.\\n - **Personalization**:
In customer service, AI agents provide personalized experiences by analyzing
customer data and predicting preferences.\\n - **Healthcare**: AI agents assist
in diagnosing diseases, recommending treatments, and even predicting outbreaks
by analyzing medical data.\\n\\n2. **Benefits**:\\n - **Increased Productivity**:
By automating routine tasks, businesses can significantly improve productivity
and reduce operational costs.\\n - **24/7 Availability**: Unlike human workers,
AI agents can operate continuously without breaks, providing constant support
and monitoring.\\n - **Data-Driven Insights**: AI agents can uncover patterns
and insights from data that might be missed by human analysts.\\n\\n3. **Challenges
and Concerns**:\\n - **Job Displacement**: There is a legitimate concern about
AI agents replacing human jobs, particularly in roles involving routine and
predictable tasks.\\n - **Bias and Fairness**: AI agents can perpetuate and
even amplify existing biases found in the data they are trained on, leading
to unfair or discriminatory outcomes.\\n - **Transparency**: The decision-making
process of AI agents can sometimes be opaque, making it difficult to understand
how they arrive at certain conclusions (known as the \\\"black box\\\" problem).\\n
\ - **Security**: AI systems can be vulnerable to hacking and other malicious
activities, posing significant security risks.\\n\\n4. **Ethical Considerations**:\\n
\ - **Accountability**: Who is responsible when an AI agent makes a mistake?
This question remains complex and is a major ethical consideration.\\n - **Privacy**:
The extensive use of data by AI agents raises concerns about user privacy and
the potential for misuse of sensitive information.\\n - **Consent**: Users
must be informed and provide consent regarding how their data is used by AI
agents.\\n\\n5. **Future Directions**:\\n - **Regulation and Governance**:
Developing robust regulatory frameworks to oversee the deployment and use of
AI agents is crucial.\\n - **Continuous Improvement**: Ongoing research is
needed to enhance the capabilities of AI agents while addressing their current
limitations and ethical concerns.\\n - **Collaboration**: Encouraging collaboration
between AI agents and human workers can lead to hybrid systems that leverage
the strengths of both.\\n\\nIn summary, while AI agents offer numerous benefits
and transformative potential, they also come with a set of challenges and ethical
questions that must be carefully managed. My analysis focuses on a balanced
view, recognizing both the opportunities and the complexities associated with
AI agents. \\n\\nThus, it's not about hating AI agents, but rather critically
evaluating their impact and advocating for responsible and fair implementation.
This ensures that while we harness their capabilities, we also address and mitigate
any negative repercussions.\",\n \"refusal\": null\n },\n \"logprobs\":
null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\":
200,\n \"completion_tokens\": 674,\n \"total_tokens\": 874,\n \"completion_tokens_details\":
{\n \"reasoning_tokens\": 0\n }\n },\n \"system_fingerprint\": \"fp_3537616b13\"\n}\n"
headers:
CF-Cache-Status:
- DYNAMIC
CF-RAY:
- 8c4f6e56bef2a67a-MIA
- 8c786ec53951a4ee-MIA
Connection:
- keep-alive
Content-Encoding:
@@ -105,7 +115,7 @@ interactions:
Content-Type:
- application/json
Date:
- Wed, 18 Sep 2024 06:55:39 GMT
- Mon, 23 Sep 2024 06:21:17 GMT
Server:
- cloudflare
Transfer-Encoding:
@@ -114,12 +124,10 @@ interactions:
- nosniff
access-control-expose-headers:
- X-Request-ID
alt-svc:
- h3=":443"; ma=86400
openai-organization:
- crewai-iuxna1
openai-processing-ms:
- '5853'
- '10745'
openai-version:
- '2020-10-01'
strict-transport-security:
@@ -137,7 +145,7 @@ interactions:
x-ratelimit-reset-tokens:
- 0s
x-request-id:
- req_0aa0e2c887396b6e47ee79e68ce5d698
- req_6b92bcf242cadd7f94eb3f9d82f27737
http_version: HTTP/1.1
status_code: 200
version: 1

99
tests/agent_tools/cassettes/test_delegate_work_with_wrong_co_worker_variable.yaml
View File

@@ -12,8 +12,7 @@ interactions:
context shared.\nyou MUST return the actual complete content as the final answer,
not a summary.\n\nThis is the context you''re working with:\nI heard you hate
them\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:"}], "model": "gpt-4o",
"stop": ["\nObservation:"]}'
your best Final Answer, your job depends on it!\n\nThought:"}], "model": "gpt-4o"}'
headers:
accept:
- application/json
@@ -22,16 +21,16 @@ interactions:
connection:
- keep-alive
content-length:
- '1055'
- '1027'
content-type:
- application/json
cookie:
- __cf_bm=.8.5x0rqghNdtUCxfmwblfhuXiKyPm_cRq.NIa0heL0-1726642369-1.0.1.1-VbsAGqjOt45ZD50K2QW2oZrByLLIh6w8K4nAkLthTbXgU5qTgdf0mhvFId8Q2F3DcHUw9E72lVIZEN.YVlYINQ;
_cfuvid=o5s1Ux898x0eFNtzUCnG996iqyX3LgXDXq99C5oqnVE-1726642369248-0.0.1.1-604800000
- __cf_bm=MSMbC3L9m33fbO5Mdj70NJMu6kJCjhuwRcYuWJdJkYQ-1727071769-1.0.1.1-Dok5J431gUNvLRyLNrUo0A.FXXIuZUUooIMFSj74XUDgQJt0mlhf6QEEo6s9wXLhByXrdKr6cxYGBEkQoDslXg;
_cfuvid=5cK2hfLqTXw1WjB81uT.sGmmA67JIxSKSQeEHQ3zOQw-1727071769966-0.0.1.1-604800000
host:
- api.openai.com
user-agent:
- OpenAI/Python 1.46.0
- OpenAI/Python 1.47.0
x-stainless-arch:
- arm64
x-stainless-async:
@@ -41,7 +40,7 @@ interactions:
x-stainless-os:
- MacOS
x-stainless-package-version:
- 1.46.0
- 1.47.0
x-stainless-raw-response:
- 'true'
x-stainless-runtime:
@@ -51,53 +50,49 @@ interactions:
method: POST
uri: https://api.openai.com/v1/chat/completions
response:
content: "{\n \"id\": \"chatcmpl-A8it9LDkkRZSKsQkeXmWjzDg1qiUl\",\n \"object\":
\"chat.completion\",\n \"created\": 1726642539,\n \"model\": \"gpt-4o-2024-05-13\",\n
content: "{\n \"id\": \"chatcmpl-AAWjeYMNvBp0XpNAwVc4bv7TZfaDP\",\n \"object\":
\"chat.completion\",\n \"created\": 1727072478,\n \"model\": \"gpt-4o-2024-05-13\",\n
\ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\":
\"assistant\",\n \"content\": \"Thought: I now can give a great answer\\nFinal
Answer: \\n\\nIt's not accurate to say that I hate AI agents. My stance is more
nuanced and rooted in a deep understanding of their capabilities, limitations,
and the potential impact on various sectors.\\n\\nAI agents are software entities
that perform tasks autonomously on behalf of users. They are designed to mimic
human decision-making and problem-solving abilities. The advances in machine
learning, natural language processing, and data analytics have significantly
improved the performance of AI agents, making them valuable tools for automation,
customer service, data analysis, and more.\\n\\nHowever, my concerns about AI
agents stem from several key points:\\n\\n1. **Ethical Considerations**: AI
agents can perpetuate biases present in their training data. If the data used
to train these agents contain biases, whether related to gender, race, or other
factors, the AI can replicate and even amplify these biases in its operations.
This has serious ethical implications for fairness and equality.\\n\\n2. **Job
Displacement**: While AI agents can enhance efficiency and productivity, they
can also displace human workers. Many routine and repetitive tasks previously
performed by humans are now automated, leading to job losses in certain sectors.
This aspect calls for a balanced approach where human roles are redefined rather
than completely eliminated.\\n\\n3. **Transparency and Accountability**: AI
agents often operate as \\\"black boxes,\\\" meaning their decision-making processes
are not transparent. If an AI agent makes an error\u2014whether in financial
transactions, medical diagnoses, or legal decisions\u2014it can be challenging
to understand why the error occurred and who is responsible. Ensuring transparency
and accountability is crucial for trust and reliability.\\n\\n4. **Security
and Privacy**: AI agents often deal with vast amounts of personal data. Ensuring
the security and privacy of this data is paramount. There are risks associated
with data breaches and the misuse of personal information, which can have significant
repercussions for individuals and organizations.\\n\\nDespite these concerns,
I also recognize the immense potential of AI agents to drive innovation, improve
efficiency, and provide solutions to complex problems. The key is to develop
and deploy AI responsibly, with robust regulatory frameworks and ethical guidelines.\\n\\nIn
conclusion, I don't hate AI agents. Instead, I advocate for a balanced perspective
that acknowledges their benefits while addressing their challenges. By doing
so, we can harness the power of AI agents for the greater good, ensuring they
contribute positively to society.\\n\",\n \"refusal\": null\n },\n
\ \"logprobs\": null,\n \"finish_reason\": \"stop\"\n }\n ],\n
\ \"usage\": {\n \"prompt_tokens\": 200,\n \"completion_tokens\": 481,\n
\ \"total_tokens\": 681,\n \"completion_tokens_details\": {\n \"reasoning_tokens\":
0\n }\n },\n \"system_fingerprint\": \"fp_a5d11b2ef2\"\n}\n"
Answer: \\n\\nWhile it might have circulated that I \\\"hate\\\" AI agents,
I think it's more nuanced than that. AI agents are incredibly sophisticated
pieces of technology that carry immense potential for transforming multiple
sectors like healthcare, finance, and customer service.\\n\\nFirst, let's define
what AI agents are. AI agents are autonomous entities designed to perform specific
tasks, often mimicking human decision-making and problem-solving abilities.
They can range from simple chatbots to complex systems capable of managing large-scale
operations.\\n\\nThe Pros:\\n1. Efficiency: AI agents can complete tasks faster
and more accurately than humans. For instance, they can instantaneously process
large datasets to provide real-time insights.\\n2. Scalability: With AI agents,
services can be scaled without the proportional increase in cost, which is particularly
beneficial for businesses looking to grow without extensive human resource expenditures.\\n3.
24/7 Availability: Unlike human workers, AI agents can operate around the clock,
increasing productivity and availability, particularly in customer service domains.\\n4.
Data Handling: AI agents can handle and process data at speeds and volumes that
far exceed human capabilities, enabling smarter business decisions and innovations.\\n\\nHowever,
there are some drawbacks and concerns:\\n1. Ethical Issues: AI agents often
face ethical dilemmas, especially when their decision-making processes are opaque.
Bias in AI systems can perpetuate existing inequalities, making transparency
and fairness critical issues.\\n2. Job Displacement: One significant concern
is the potential for AI agents to displace human workers, particularly in industries
reliant on routine, repetitive tasks.\\n3. Dependency: Over-reliance on AI can
lead to skill erosion among human employees and vulnerabilities in cases where
technology fails or is compromised.\\n4. Security: Given their access to sensitive
data, AI agents can be attractive targets for cyber-attacks. Ensuring robust
security measures is essential.\\n\\nSo, while I recognize the transformative
power and benefits of AI agents, it's crucial to approach them with a balanced
perspective. Adequate governance, ethical considerations, and transparency are
needed to harness their potential responsibly. It's not a matter of hating them,
but rather advocating for their responsible and fair use in society.\",\n \"refusal\":
null\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n
\ }\n ],\n \"usage\": {\n \"prompt_tokens\": 200,\n \"completion_tokens\":
439,\n \"total_tokens\": 639,\n \"completion_tokens_details\": {\n \"reasoning_tokens\":
0\n }\n },\n \"system_fingerprint\": \"fp_3537616b13\"\n}\n"
headers:
CF-Cache-Status:
- DYNAMIC
CF-RAY:
- 8c4f6e7eb93ea67a-MIA
- 8c786f0b3a9aa4ee-MIA
Connection:
- keep-alive
Content-Encoding:
@@ -105,7 +100,7 @@ interactions:
Content-Type:
- application/json
Date:
- Wed, 18 Sep 2024 06:55:45 GMT
- Mon, 23 Sep 2024 06:21:25 GMT
Server:
- cloudflare
Transfer-Encoding:
@@ -114,12 +109,10 @@ interactions:
- nosniff
access-control-expose-headers:
- X-Request-ID
alt-svc:
- h3=":443"; ma=86400
openai-organization:
- crewai-iuxna1
openai-processing-ms:
- '6191'
- '7468'
openai-version:
- '2020-10-01'
strict-transport-security:
@@ -137,7 +130,7 @@ interactions:
x-ratelimit-reset-tokens:
- 0s
x-request-id:
- req_28bf060b1878579d6ac179d10d06c5a5
- req_fef781b8c3725a9acc11d1c4469c6ccb
http_version: HTTP/1.1
status_code: 200
version: 1

116
tests/agent_tools/cassettes/test_delegate_work_withwith_coworker_as_array.yaml
View File

@@ -12,8 +12,7 @@ interactions:
context shared.\nyou MUST return the actual complete content as the final answer,
not a summary.\n\nThis is the context you''re working with:\nI heard you hate
them\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:"}], "model": "gpt-4o",
"stop": ["\nObservation:"]}'
your best Final Answer, your job depends on it!\n\nThought:"}], "model": "gpt-4o"}'
headers:
accept:
- application/json
@@ -22,16 +21,16 @@ interactions:
connection:
- keep-alive
content-length:
- '1055'
- '1027'
content-type:
- application/json
cookie:
- __cf_bm=.8.5x0rqghNdtUCxfmwblfhuXiKyPm_cRq.NIa0heL0-1726642369-1.0.1.1-VbsAGqjOt45ZD50K2QW2oZrByLLIh6w8K4nAkLthTbXgU5qTgdf0mhvFId8Q2F3DcHUw9E72lVIZEN.YVlYINQ;
_cfuvid=o5s1Ux898x0eFNtzUCnG996iqyX3LgXDXq99C5oqnVE-1726642369248-0.0.1.1-604800000
- __cf_bm=MSMbC3L9m33fbO5Mdj70NJMu6kJCjhuwRcYuWJdJkYQ-1727071769-1.0.1.1-Dok5J431gUNvLRyLNrUo0A.FXXIuZUUooIMFSj74XUDgQJt0mlhf6QEEo6s9wXLhByXrdKr6cxYGBEkQoDslXg;
_cfuvid=5cK2hfLqTXw1WjB81uT.sGmmA67JIxSKSQeEHQ3zOQw-1727071769966-0.0.1.1-604800000
host:
- api.openai.com
user-agent:
- OpenAI/Python 1.46.0
- OpenAI/Python 1.47.0
x-stainless-arch:
- arm64
x-stainless-async:
@@ -41,7 +40,7 @@ interactions:
x-stainless-os:
- MacOS
x-stainless-package-version:
- 1.46.0
- 1.47.0
x-stainless-raw-response:
- 'true'
x-stainless-runtime:
@@ -51,58 +50,63 @@ interactions:
method: POST
uri: https://api.openai.com/v1/chat/completions
response:
content: "{\n \"id\": \"chatcmpl-A8itMCa7g4PWxQ81lBUGgOFC4fl2n\",\n \"object\":
\"chat.completion\",\n \"created\": 1726642552,\n \"model\": \"gpt-4o-2024-05-13\",\n
content: "{\n \"id\": \"chatcmpl-AAWjrQBbpjRhgI9c4GvRhT7kM3lNt\",\n \"object\":
\"chat.completion\",\n \"created\": 1727072491,\n \"model\": \"gpt-4o-2024-05-13\",\n
\ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\":
\"assistant\",\n \"content\": \"Thought: I now can give a great answer\\nFinal
Answer: \\n\\nIn addressing your query about AI agents, it's crucial to clarify
my stance. While I don't \\\"hate\\\" AI agents, I have a nuanced perspective
that balances both their potential benefits and inherent drawbacks. This balanced
view is essential for understanding the complex role that AI agents play in
today's technology landscape.\\n\\nAI agents are remarkable tools that can automate
tasks, provide intelligent recommendations, and enhance user experiences. They
harness advancements in machine learning, natural language processing, and big
data analytics to perform a wide range of functions, from personal assistants
like Siri and Alexa to sophisticated customer service bots and autonomous systems
in various industries.\\n\\nThe Potential Benefits of AI Agents:\\n1. **Automation
and Efficiency**: AI agents can handle repetitive and mundane tasks, freeing
up human workers to focus on more creative and high-value activities. This can
lead to increased productivity and operational efficiency in businesses.\\n2.
**Data-Driven Insights**: By analyzing vast amounts of data, AI agents can provide
actionable insights that inform decision-making processes in areas like finance,
healthcare, and marketing.\\n3. **Personalization**: AI agents can tailor recommendations
and services based on individual user preferences and behaviors, enhancing user
satisfaction and engagement.\\n4. **24/7 Availability**: Unlike human workers,
AI agents can operate continuously without the need for breaks, providing round-the-clock
support and services.\\n\\nHowever, there are also several challenges and concerns
associated with AI agents that cannot be overlooked:\\n\\n1. **Ethical Considerations**:
The deployment of AI agents raises ethical questions about privacy, surveillance,
and the potential for bias in their algorithms. Ensuring that AI systems are
transparent and fair is a critical issue.\\n2. **Job Displacement**: While AI
agents can increase efficiency, they also have the potential to displace human
workers, leading to concerns about unemployment and the need for workforce reskilling.\\n3.
**Trust and Reliability**: Building trust in AI systems is essential. Users
need to be confident that AI agents will perform their tasks accurately and
reliably, without unexpected failures or errors.\\n4. **Control and Accountability**:
Determining who is accountable when AI agents make errors or cause harm is a
complex issue, especially when these systems operate autonomously or with minimal
human oversight.\\n\\nIn summary, my view on AI agents is not one of antagonism
but of cautious optimism. I recognize the transformative potential of AI agents
in various domains, but I also emphasize the importance of addressing the ethical,
economic, and technical challenges they present. Our goal should be to develop
and deploy AI agents in a way that maximizes their benefits while mitigating
their risks. This balanced approach will ensure that AI agents can be a positive
force in society, driving innovation and improving quality of life without compromising
ethical standards or societal values.\",\n \"refusal\": null\n },\n
\ \"logprobs\": null,\n \"finish_reason\": \"stop\"\n }\n ],\n
\ \"usage\": {\n \"prompt_tokens\": 200,\n \"completion_tokens\": 564,\n
\ \"total_tokens\": 764,\n \"completion_tokens_details\": {\n \"reasoning_tokens\":
0\n }\n },\n \"system_fingerprint\": \"fp_a5d11b2ef2\"\n}\n"
Answer: AI agents, like any technology, have both significant advantages and
notable challenges. Initially, the skepticism surrounding AI agents might stem
from concerns about their implementation, ethical considerations, or potential
impact on jobs. However, let's delve into a comprehensive analysis of their
roles and implications.\\n\\nFirstly, AI agents are software entities that perform
tasks autonomously on behalf of a user or another program with some degree of
intelligence and learning capability. These agents can interpret data, learn
from patterns, and even make decisions based on the information they process.
They are essential across various sectors, including healthcare, finance, customer
service, and logistics.\\n\\nPositive Aspects:\\n1. **Efficiency and Productivity:**
AI agents can process large volumes of data faster than humans, enabling quicker
decision-making. This efficiency can significantly boost productivity in organizations
by automating repetitive tasks, allowing human workers to focus on more strategic
activities.\\n\\n2. **24/7 Operation:** Unlike humans, AI agents can work around
the clock without fatigue. This capability is crucial for industries that require
continuous operation, such as monitoring systems in cybersecurity or customer
service through chatbots.\\n\\n3. **Personalization:** AI agents can tailor
experiences to individual users by learning from their behavior. For instance,
recommendation systems used by services like Netflix or Amazon provide personalized
content, enhancing user satisfaction and engagement.\\n\\n4. **Accuracy and
Precision:** AI agents, when properly trained, can perform tasks with a high
degree of accuracy, reducing the likelihood of human error. This precision is
especially valuable in fields such as medical diagnostics, where accurate analysis
can be life-saving.\\n\\nChallenges and Concerns:\\n1. **Ethical Issues:** The
deployment of AI agents raises ethical questions regarding privacy, data security,
and potential biases in decision-making. It is essential to ensure that AI systems
are transparent, fair, and respect user privacy.\\n\\n2. **Job Displacement:**
As AI agents automate more tasks, there is a genuine concern about job loss,
particularly in roles that involve routine and repetitive tasks. It is critical
to address this issue by reskilling and upskilling the workforce to adapt to
the changing job landscape.\\n\\n3. **Dependence on Data:** AI agents rely heavily
on large datasets to learn and make decisions. If the data is biased or incomplete,
the AI\u2019s performance and reliability can be compromised. This dependence
also raises questions about data ownership and governance.\\n\\n4. **Complexity
and Accountability:** Understanding and managing AI agents can be complex, and
determining accountability in the event of failures or erroneous decisions can
be challenging. Developing robust frameworks for monitoring and accountability
is crucial.\\n\\nIn conclusion, while there are valid concerns associated with
AI agents, they also offer transformative potential in improving efficiency,
personalization, and accuracy in various applications. It is important to engage
in balanced discussions, address ethical considerations, and develop policies
to mitigate potential negative impacts while leveraging the benefits of AI technology.
Hence, my stance is not of outright hatred, but one of cautious optimism, advocating
for responsible development and deployment of AI agents.\",\n \"refusal\":
null\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n
\ }\n ],\n \"usage\": {\n \"prompt_tokens\": 200,\n \"completion_tokens\":
610,\n \"total_tokens\": 810,\n \"completion_tokens_details\": {\n \"reasoning_tokens\":
0\n }\n },\n \"system_fingerprint\": \"fp_3537616b13\"\n}\n"
headers:
CF-Cache-Status:
- DYNAMIC
CF-RAY:
- 8c4f6ecd7940a67a-MIA
- 8c786f5f7c91a4ee-MIA
Connection:
- keep-alive
Content-Encoding:
@@ -110,7 +114,7 @@ interactions:
Content-Type:
- application/json
Date:
- Wed, 18 Sep 2024 06:55:59 GMT
- Mon, 23 Sep 2024 06:21:40 GMT
Server:
- cloudflare
Transfer-Encoding:
@@ -124,7 +128,7 @@ interactions:
openai-organization:
- crewai-iuxna1
openai-processing-ms:
- '7311'
- '8091'
openai-version:
- '2020-10-01'
strict-transport-security:
@@ -142,7 +146,7 @@ interactions:
x-ratelimit-reset-tokens:
- 0s
x-request-id:
- req_ae1d80d4ecb5f536ad1aeb6548b63b1f
- req_69dce82f71bce147ff78a8f37f74408a
http_version: HTTP/1.1
status_code: 200
version: 1