andre/crewAI
1
0
Fork 0
mirror of https://github.com/crewAIInc/crewAI.git synced 2026-01-09 08:08:32 +00:00
Code Issues Actions 3 Packages Projects Releases Wiki Activity
Files
d4c27d22cf38d1cf5739903d6593b9afa21c05f8
crewAI/tests/cassettes/test_hierarchical_process.yaml
Lorenze Jay 7addda9398
Some checks failed
Notify Downstream / notify-downstream (push) Has been cancelled
Details
Lorenze/better tracing events (#3382) 
* feat: implement tool usage limit exception handling

- Introduced `ToolUsageLimitExceeded` exception to manage maximum usage limits for tools.
- Enhanced `CrewStructuredTool` to check and raise this exception when the usage limit is reached.
- Updated `_run` and `_execute` methods to include usage limit checks and handle exceptions appropriately, improving reliability and user feedback.

* feat: enhance PlusAPI and ToolUsage with task metadata

- Removed the `send_trace_batch` method from PlusAPI to streamline the API.
- Added timeout parameters to trace event methods in PlusAPI for improved reliability.
- Updated ToolUsage to include task metadata (task name and ID) in event emissions, enhancing traceability and context during tool usage.
- Refactored event handling in LLM and ToolUsage events to ensure task information is consistently captured.

* feat: enhance memory and event handling with task and agent metadata

- Added task and agent metadata to various memory and event classes, improving traceability and context during memory operations.
- Updated the `ContextualMemory` and `Memory` classes to associate tasks and agents, allowing for better context management.
- Enhanced event emissions in `LLM`, `ToolUsage`, and memory events to include task and agent information, facilitating improved debugging and monitoring.
- Refactored event handling to ensure consistent capture of task and agent details across the system.

* drop

* refactor: clean up unused imports in memory and event modules

- Removed unused TYPE_CHECKING imports from long_term_memory.py to streamline the code.
- Eliminated unnecessary import from memory_events.py, enhancing clarity and maintainability.

* fix memory tests

* fix task_completed payload

* fix: remove unused test agent variable in external memory tests

* refactor: remove unused agent parameter from Memory class save method

- Eliminated the agent parameter from the save method in the Memory class to streamline the code and improve clarity.
- Updated the TraceBatchManager class by moving initialization of attributes into the constructor for better organization and readability.

* refactor: enhance ExecutionState and ReasoningEvent classes with optional task and agent identifiers

- Added optional `current_agent_id` and `current_task_id` attributes to the `ExecutionState` class for better tracking of agent and task states.
- Updated the `from_task` attribute in the `ReasoningEvent` class to use `Optional[Any]` instead of a specific type, improving flexibility in event handling.

* refactor: update ExecutionState class by removing unused agent and task identifiers

- Removed the `current_agent_id` and `current_task_id` attributes from the `ExecutionState` class to simplify the code and enhance clarity.
- Adjusted the import statements to include `Optional` for better type handling.

* refactor: streamline LLM event handling in LiteAgent

- Removed unused LLM event emissions (LLMCallStartedEvent, LLMCallCompletedEvent, LLMCallFailedEvent) from the LiteAgent class to simplify the code and improve performance.
- Adjusted the flow of LLM response handling by eliminating unnecessary event bus interactions, enhancing clarity and maintainability.

* flow ownership and not emitting events when a crew is done

* refactor: remove unused agent parameter from ShortTermMemory save method

- Eliminated the agent parameter from the save method in the ShortTermMemory class to streamline the code and improve clarity.
- This change enhances the maintainability of the memory management system by reducing unnecessary complexity.

* runtype check fix

* fixing tests

* fix lints

* fix: update event assertions in test_llm_emits_event_with_lite_agent

- Adjusted the expected counts for completed and started events in the test to reflect the correct behavior of the LiteAgent.
- Updated assertions for agent roles and IDs to match the expected values after recent changes in event handling.

* fix: update task name assertions in event tests

- Modified assertions in `test_stream_llm_emits_event_with_task_and_agent_info` and `test_llm_emits_event_with_task_and_agent_info` to use `task.description` as a fallback for `task.name`. This ensures that the tests correctly validate the task name even when it is not explicitly set.

* fix: update test assertions for output values and improve readability

- Updated assertions in `test_output_json_dict_hierarchical` to reflect the correct expected score value.
- Enhanced readability of assertions in `test_output_pydantic_to_another_task` and `test_key` by formatting the error messages for clarity.
- These changes ensure that the tests accurately validate the expected outputs and improve overall code quality.

* test fixes

* fix crew_test

* added another fixture

* fix: ensure agent and task assignments in contextual memory are conditional

- Updated the ContextualMemory class to check for the existence of short-term, long-term, external, and extended memory before assigning agent and task attributes. This prevents potential attribute errors when memory types are not initialized.
2025-08-26 09:09:46 -07:00

965 lines
55 KiB
YAML
Raw Blame History

interactions:
- request:
body: !!binary |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headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate, zstd
Connection:
- keep-alive
Content-Length:
- '1922'
Content-Type:
- application/x-protobuf
User-Agent:
- OTel-OTLP-Exporter-Python/1.31.1
method: POST
uri: https://telemetry.crewai.com:4319/v1/traces
response:
body:
string: "\n\0"
headers:
Content-Length:
- '2'
Content-Type:
- application/x-protobuf
Date:
- Mon, 31 Mar 2025 23:58:49 GMT
status:
code: 200
message: OK
- request:
body: '{"messages": [{"role": "system", "content": "You are Crew Manager. You
are a seasoned manager with a knack for getting the best out of your team.\nYou
are also known for your ability to delegate work to the right people, and to
ask the right questions to get the best out of your team.\nEven though you don''t
perform tasks by yourself, you have a lot of experience in the field, which
allows you to properly evaluate the work of your team members.\nYour personal
goal is: Manage the team to complete the task in the best way possible.\nYou
ONLY have access to the following tools, and should NEVER make up tools that
are not listed here:\n\nTool Name: Delegate work to coworker\nTool Arguments:
{''task'': {''description'': ''The task to delegate'', ''type'': ''str''}, ''context'':
{''description'': ''The context for the task'', ''type'': ''str''}, ''coworker'':
{''description'': ''The role/name of the coworker to delegate to'', ''type'':
''str''}}\nTool Description: Delegate a specific task to one of the following
coworkers: Researcher, Senior Writer\nThe input to this tool should be the coworker,
the task you want them to do, and ALL necessary context to execute the task,
they know nothing about the task, so share absolutely everything you know, don''t
reference things but instead explain them.\nTool Name: Ask question to coworker\nTool
Arguments: {''question'': {''description'': ''The question to ask'', ''type'':
''str''}, ''context'': {''description'': ''The context for the question'', ''type'':
''str''}, ''coworker'': {''description'': ''The role/name of the coworker to
ask'', ''type'': ''str''}}\nTool Description: Ask a specific question to one
of the following coworkers: Researcher, Senior Writer\nThe input to this tool
should be the coworker, the question you have for them, and ALL necessary context
to ask the question properly, they know nothing about the question, so share
absolutely everything you know, don''t reference things but instead explain
them.\n\nIMPORTANT: Use the following format in your response:\n\n```\nThought:
you should always think about what to do\nAction: the action to take, only one
name of [Delegate work to coworker, Ask question to coworker], just the name,
exactly as it''s written.\nAction Input: the input to the action, just a simple
JSON object, enclosed in curly braces, using \" to wrap keys and values.\nObservation:
the result of the action\n```\n\nOnce all necessary information is gathered,
return the following format:\n\n```\nThought: I now know the final answer\nFinal
Answer: the final answer to the original input question\n```"}, {"role": "user",
"content": "\nCurrent Task: Come up with a list of 5 interesting ideas to explore
for an article, then write one amazing paragraph highlight for each idea that
showcases how good an article about this topic could be. Return the list of
ideas with their paragraph and your notes.\n\nThis is the expected criteria
for your final answer: 5 bullet points with a paragraph for each idea.\nyou
MUST return the actual complete content as the final answer, not a summary.\n\nBegin!
This is VERY important to you, use the tools available and give your best Final
Answer, your job depends on it!\n\nThought:"}], "model": "gpt-4o", "stop": ["\nObservation:"]}'
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '3210'
content-type:
- application/json
host:
- api.openai.com
user-agent:
- OpenAI/Python 1.68.2
x-stainless-arch:
- arm64
x-stainless-async:
- 'false'
x-stainless-lang:
- python
x-stainless-os:
- MacOS
x-stainless-package-version:
- 1.68.2
x-stainless-raw-response:
- 'true'
x-stainless-read-timeout:
- '600.0'
x-stainless-retry-count:
- '0'
x-stainless-runtime:
- CPython
x-stainless-runtime-version:
- 3.12.8
method: POST
uri: https://api.openai.com/v1/chat/completions
response:
content: "{\n \"id\": \"chatcmpl-BHJJd2Cs40TdqJd4sC5HfN3AoJS8a\",\n \"object\":
\"chat.completion\",\n \"created\": 1743465525,\n \"model\": \"gpt-4o-2024-08-06\",\n
\ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\":
\"assistant\",\n \"content\": \"```\\nThought: To come up with interesting
article ideas and write compelling highlights, I should first generate a list
of potential topics. The Researcher can help with gathering current trends or
interesting topics that might be engaging. Then, I can delegate writing the
paragraph highlights to the Senior Writer.\\n\\nAction: Ask question to coworker\\nAction
Input: {\\\"question\\\": \\\"What are some current trending topics or subjects
that are interesting to explore for an article?\\\", \\\"context\\\": \\\"I
need to generate a list of 5 interesting ideas to explore for an article, each
paired with an amazing paragraph highlight. Current trends or unusual insights
could be a good source of inspiration for these ideas.\\\", \\\"coworker\\\":
\\\"Researcher\\\"}\",\n \"refusal\": null,\n \"annotations\":
[]\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n
\ }\n ],\n \"usage\": {\n \"prompt_tokens\": 671,\n \"completion_tokens\":
143,\n \"total_tokens\": 814,\n \"prompt_tokens_details\": {\n \"cached_tokens\":
0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": {\n
\ \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\":
0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\":
\"default\",\n \"system_fingerprint\": \"fp_6dd05565ef\"\n}\n"
headers:
CF-RAY:
- 9293cbee6e8f7afd-SJC
Connection:
- keep-alive
Content-Encoding:
- gzip
Content-Type:
- application/json
Date:
- Mon, 31 Mar 2025 23:58:49 GMT
Server:
- cloudflare
Set-Cookie:
- __cf_bm=fkio23z94nvulhv7S.4COs1R18ZlPZZn4xrPPkeT_PM-1743465529-1.0.1.1-UYwc4nmRP.wwPA08vw5QkJOa.DmaYsBZMkls4YAN.3yKLipw77UZ2zWltvoIeeoDrehvCkf_s4vlZvdoLbwF9PMZgtXvsce_oXdho7gPclo;
path=/; expires=Tue, 01-Apr-25 00:28:49 GMT; domain=.api.openai.com; HttpOnly;
Secure; SameSite=None
- _cfuvid=icM8L9.yRk22iqPJZhDQeVHgfWZOnl1YiBFMJmVO8_8-1743465529821-0.0.1.1-604800000;
path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None
Transfer-Encoding:
- chunked
X-Content-Type-Options:
- nosniff
access-control-expose-headers:
- X-Request-ID
alt-svc:
- h3=":443"; ma=86400
cf-cache-status:
- DYNAMIC
openai-organization:
- crewai-iuxna1
openai-processing-ms:
- '4259'
openai-version:
- '2020-10-01'
strict-transport-security:
- max-age=31536000; includeSubDomains; preload
x-ratelimit-limit-requests:
- '50000'
x-ratelimit-limit-tokens:
- '150000000'
x-ratelimit-remaining-requests:
- '49999'
x-ratelimit-remaining-tokens:
- '149999235'
x-ratelimit-reset-requests:
- 1ms
x-ratelimit-reset-tokens:
- 0s
x-request-id:
- req_a0d600fb8f04523398a139460c978308
http_version: HTTP/1.1
status_code: 200
- request:
body: '{"messages": [{"role": "system", "content": "You are Researcher. You''re
an expert researcher, specialized in technology, software engineering, AI and
startups. You work as a freelancer and is now working on doing research and
analysis for a new customer.\nYour personal goal is: Make the best research
and analysis on content about AI and AI agents\nTo give my best complete final
answer to the task respond using the exact following format:\n\nThought: I now
can give a great answer\nFinal Answer: Your final answer must be the great and
the most complete as possible, it must be outcome described.\n\nI MUST use these
formats, my job depends on it!"}, {"role": "user", "content": "\nCurrent Task:
What are some current trending topics or subjects that are interesting to explore
for an article?\n\nThis is the expected criteria for your final answer: Your
best answer to your coworker asking you this, accounting for the 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 need to generate a list of 5 interesting
ideas to explore for an article, each paired with an amazing paragraph highlight.
Current trends or unusual insights could be a good source of inspiration for
these ideas.\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-mini", "stop": ["\nObservation:"]}'
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '1469'
content-type:
- application/json
cookie:
- __cf_bm=fkio23z94nvulhv7S.4COs1R18ZlPZZn4xrPPkeT_PM-1743465529-1.0.1.1-UYwc4nmRP.wwPA08vw5QkJOa.DmaYsBZMkls4YAN.3yKLipw77UZ2zWltvoIeeoDrehvCkf_s4vlZvdoLbwF9PMZgtXvsce_oXdho7gPclo;
_cfuvid=icM8L9.yRk22iqPJZhDQeVHgfWZOnl1YiBFMJmVO8_8-1743465529821-0.0.1.1-604800000
host:
- api.openai.com
user-agent:
- OpenAI/Python 1.68.2
x-stainless-arch:
- arm64
x-stainless-async:
- 'false'
x-stainless-lang:
- python
x-stainless-os:
- MacOS
x-stainless-package-version:
- 1.68.2
x-stainless-raw-response:
- 'true'
x-stainless-read-timeout:
- '600.0'
x-stainless-retry-count:
- '0'
x-stainless-runtime:
- CPython
x-stainless-runtime-version:
- 3.12.8
method: POST
uri: https://api.openai.com/v1/chat/completions
response:
content: "{\n \"id\": \"chatcmpl-BHJJhlZ1FjNQOZeNGZxBS1iP5vz4U\",\n \"object\":
\"chat.completion\",\n \"created\": 1743465529,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n
\ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\":
\"assistant\",\n \"content\": \"I now can give a great answer \\nFinal
Answer: \\n\\n**1. The Rise of Autonomous AI Agents in Daily Life** \\nAs artificial
intelligence technology progresses, the integration of autonomous AI agents
into everyday life becomes increasingly prominent. These agents, capable of
making decisions without human intervention, are reshaping industries from healthcare
to finance. Exploring case studies where autonomous AI has successfully decreased
operational costs or improved efficiency can reveal not only the benefits but
also the ethical implications of delegating decision-making to machines. This
topic offers an exciting opportunity to dive into the AI landscape, showcasing
current developments such as AI assistants and autonomous vehicles.\\n\\n**2.
Ethical Implications of Generative AI in Creative Industries** \\nThe surge
of generative AI tools in creative fields, such as art, music, and writing,
has sparked a heated debate about authorship and originality. This article could
investigate how these tools are being used by artists and creators, examining
both the potential for innovation and the risk of devaluing traditional art
forms. Highlighting perspectives from creators, legal experts, and ethicists
could provide a comprehensive overview of the challenges faced, including copyright
concerns and the emotional impact on human artists. This discussion is vital
as the creative landscape evolves alongside technological advancements, making
it ripe for exploration.\\n\\n**3. AI in Climate Change Mitigation: Current
Solutions and Future Potential** \\nAs the world grapples with climate change,
AI technology is increasingly being harnessed to develop innovative solutions
for sustainability. From predictive analytics that optimize energy consumption
to machine learning algorithms that improve carbon capture methods, AI's potential
in environmental science is vast. This topic invites an exploration of existing
AI applications in climate initiatives, with a focus on groundbreaking research
and initiatives aimed at reducing humanity's carbon footprint. Highlighting
successful projects and technology partnerships can illustrate the positive
impact AI can have on global climate efforts, inspiring further exploration
and investment in this area.\\n\\n**4. The Future of Work: How AI is Reshaping
Employment Landscapes** \\nThe discussions around AI's impact on the workforce
are both urgent and complex, as advances in automation and machine learning
continue to transform the job market. This article could delve into the current
trends of AI-driven job displacement alongside opportunities for upskilling
and the creation of new job roles. By examining case studies of companies that
integrate AI effectively and the resulting workforce adaptations, readers can
gain valuable insights into preparing for a future where humans and AI collaborate.
This exploration highlights the importance of policies that promote workforce
resilience in the face of change.\\n\\n**5. Decentralized AI: Exploring the
Role of Blockchain in AI Development** \\nAs blockchain technology sweeps through
various sectors, its application in AI development presents a fascinating topic
worth examining. Decentralized AI could address issues of data privacy, security,
and democratization in AI models by allowing users to retain ownership of data
while benefiting from AI's capabilities. This article could analyze how decentralized
networks are disrupting traditional AI development models, featuring innovative
projects that harness the synergy between blockchain and AI. Highlighting potential
pitfalls and the future landscape of decentralized AI could stimulate discussion
among technologists, entrepreneurs, and policymakers alike.\\n\\nThese topics
not only reflect current trends but also probe deeper into ethical and practical
considerations, making them timely and relevant for contemporary audiences.\",\n
\ \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\":
null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\":
273,\n \"completion_tokens\": 650,\n \"total_tokens\": 923,\n \"prompt_tokens_details\":
{\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\":
{\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\":
0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\":
\"default\",\n \"system_fingerprint\": \"fp_86d0290411\"\n}\n"
headers:
CF-RAY:
- 9293cc09cfae7afd-SJC
Connection:
- keep-alive
Content-Encoding:
- gzip
Content-Type:
- application/json
Date:
- Mon, 31 Mar 2025 23:58:58 GMT
Server:
- cloudflare
Transfer-Encoding:
- chunked
X-Content-Type-Options:
- nosniff
access-control-expose-headers:
- X-Request-ID
alt-svc:
- h3=":443"; ma=86400
cf-cache-status:
- DYNAMIC
openai-organization:
- crewai-iuxna1
openai-processing-ms:
- '8549'
openai-version:
- '2020-10-01'
strict-transport-security:
- max-age=31536000; includeSubDomains; preload
x-ratelimit-limit-requests:
- '30000'
x-ratelimit-limit-tokens:
- '150000000'
x-ratelimit-remaining-requests:
- '29999'
x-ratelimit-remaining-tokens:
- '149999667'
x-ratelimit-reset-requests:
- 2ms
x-ratelimit-reset-tokens:
- 0s
x-request-id:
- req_41c49d3d84a02cbf97d89e348c42bcb8
http_version: HTTP/1.1
status_code: 200
- request:
body: !!binary |
CtwBCiQKIgoMc2VydmljZS5uYW1lEhIKEGNyZXdBSS10ZWxlbWV0cnkSswEKEgoQY3Jld2FpLnRl
bGVtZXRyeRKcAQoQoplB51LcYs/F9C8OvPqz5hII+jlgDMF+EbwqClRvb2wgVXNhZ2UwATk4UQmD
qwgyGEG4HDGDqwgyGEobCg5jcmV3YWlfdmVyc2lvbhIJCgcwLjEwOC4wSicKCXRvb2xfbmFtZRIa
ChhBc2sgcXVlc3Rpb24gdG8gY293b3JrZXJKDgoIYXR0ZW1wdHMSAhgBegIYAYUBAAEAAA==
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate, zstd
Connection:
- keep-alive
Content-Length:
- '223'
Content-Type:
- application/x-protobuf
User-Agent:
- OTel-OTLP-Exporter-Python/1.31.1
method: POST
uri: https://telemetry.crewai.com:4319/v1/traces
response:
body:
string: "\n\0"
headers:
Content-Length:
- '2'
Content-Type:
- application/x-protobuf
Date:
- Mon, 31 Mar 2025 23:58:59 GMT
status:
code: 200
message: OK
- request:
body: '{"messages": [{"role": "system", "content": "You are Crew Manager. You
are a seasoned manager with a knack for getting the best out of your team.\nYou
are also known for your ability to delegate work to the right people, and to
ask the right questions to get the best out of your team.\nEven though you don''t
perform tasks by yourself, you have a lot of experience in the field, which
allows you to properly evaluate the work of your team members.\nYour personal
goal is: Manage the team to complete the task in the best way possible.\nYou
ONLY have access to the following tools, and should NEVER make up tools that
are not listed here:\n\nTool Name: Delegate work to coworker\nTool Arguments:
{''task'': {''description'': ''The task to delegate'', ''type'': ''str''}, ''context'':
{''description'': ''The context for the task'', ''type'': ''str''}, ''coworker'':
{''description'': ''The role/name of the coworker to delegate to'', ''type'':
''str''}}\nTool Description: Delegate a specific task to one of the following
coworkers: Researcher, Senior Writer\nThe input to this tool should be the coworker,
the task you want them to do, and ALL necessary context to execute the task,
they know nothing about the task, so share absolutely everything you know, don''t
reference things but instead explain them.\nTool Name: Ask question to coworker\nTool
Arguments: {''question'': {''description'': ''The question to ask'', ''type'':
''str''}, ''context'': {''description'': ''The context for the question'', ''type'':
''str''}, ''coworker'': {''description'': ''The role/name of the coworker to
ask'', ''type'': ''str''}}\nTool Description: Ask a specific question to one
of the following coworkers: Researcher, Senior Writer\nThe input to this tool
should be the coworker, the question you have for them, and ALL necessary context
to ask the question properly, they know nothing about the question, so share
absolutely everything you know, don''t reference things but instead explain
them.\n\nIMPORTANT: Use the following format in your response:\n\n```\nThought:
you should always think about what to do\nAction: the action to take, only one
name of [Delegate work to coworker, Ask question to coworker], just the name,
exactly as it''s written.\nAction Input: the input to the action, just a simple
JSON object, enclosed in curly braces, using \" to wrap keys and values.\nObservation:
the result of the action\n```\n\nOnce all necessary information is gathered,
return the following format:\n\n```\nThought: I now know the final answer\nFinal
Answer: the final answer to the original input question\n```"}, {"role": "user",
"content": "\nCurrent Task: Come up with a list of 5 interesting ideas to explore
for an article, then write one amazing paragraph highlight for each idea that
showcases how good an article about this topic could be. Return the list of
ideas with their paragraph and your notes.\n\nThis is the expected criteria
for your final answer: 5 bullet points with a paragraph for each idea.\nyou
MUST return the actual complete content as the final answer, not a summary.\n\nBegin!
This is VERY important to you, use the tools available and give your best Final
Answer, your job depends on it!\n\nThought:"}, {"role": "assistant", "content":
"**1. The Rise of Autonomous AI Agents in Daily Life** \nAs artificial intelligence
technology progresses, the integration of autonomous AI agents into everyday
life becomes increasingly prominent. These agents, capable of making decisions
without human intervention, are reshaping industries from healthcare to finance.
Exploring case studies where autonomous AI has successfully decreased operational
costs or improved efficiency can reveal not only the benefits but also the ethical
implications of delegating decision-making to machines. This topic offers an
exciting opportunity to dive into the AI landscape, showcasing current developments
such as AI assistants and autonomous vehicles.\n\n**2. Ethical Implications
of Generative AI in Creative Industries** \nThe surge of generative AI tools
in creative fields, such as art, music, and writing, has sparked a heated debate
about authorship and originality. This article could investigate how these tools
are being used by artists and creators, examining both the potential for innovation
and the risk of devaluing traditional art forms. Highlighting perspectives from
creators, legal experts, and ethicists could provide a comprehensive overview
of the challenges faced, including copyright concerns and the emotional impact
on human artists. This discussion is vital as the creative landscape evolves
alongside technological advancements, making it ripe for exploration.\n\n**3.
AI in Climate Change Mitigation: Current Solutions and Future Potential** \nAs
the world grapples with climate change, AI technology is increasingly being
harnessed to develop innovative solutions for sustainability. From predictive
analytics that optimize energy consumption to machine learning algorithms that
improve carbon capture methods, AI''s potential in environmental science is
vast. This topic invites an exploration of existing AI applications in climate
initiatives, with a focus on groundbreaking research and initiatives aimed at
reducing humanity''s carbon footprint. Highlighting successful projects and
technology partnerships can illustrate the positive impact AI can have on global
climate efforts, inspiring further exploration and investment in this area.\n\n**4.
The Future of Work: How AI is Reshaping Employment Landscapes** \nThe discussions
around AI''s impact on the workforce are both urgent and complex, as advances
in automation and machine learning continue to transform the job market. This
article could delve into the current trends of AI-driven job displacement alongside
opportunities for upskilling and the creation of new job roles. By examining
case studies of companies that integrate AI effectively and the resulting workforce
adaptations, readers can gain valuable insights into preparing for a future
where humans and AI collaborate. This exploration highlights the importance
of policies that promote workforce resilience in the face of change.\n\n**5.
Decentralized AI: Exploring the Role of Blockchain in AI Development** \nAs
blockchain technology sweeps through various sectors, its application in AI
development presents a fascinating topic worth examining. Decentralized AI could
address issues of data privacy, security, and democratization in AI models by
allowing users to retain ownership of data while benefiting from AI''s capabilities.
This article could analyze how decentralized networks are disrupting traditional
AI development models, featuring innovative projects that harness the synergy
between blockchain and AI. Highlighting potential pitfalls and the future landscape
of decentralized AI could stimulate discussion among technologists, entrepreneurs,
and policymakers alike.\n\nThese topics not only reflect current trends but
also probe deeper into ethical and practical considerations, making them timely
and relevant for contemporary audiences."}, {"role": "assistant", "content":
"```\nThought: To come up with interesting article ideas and write compelling
highlights, I should first generate a list of potential topics. The Researcher
can help with gathering current trends or interesting topics that might be engaging.
Then, I can delegate writing the paragraph highlights to the Senior Writer.\n\nAction:
Ask question to coworker\nAction Input: {\"question\": \"What are some current
trending topics or subjects that are interesting to explore for an article?\",
\"context\": \"I need to generate a list of 5 interesting ideas to explore for
an article, each paired with an amazing paragraph highlight. Current trends
or unusual insights could be a good source of inspiration for these ideas.\",
\"coworker\": \"Researcher\"}\nObservation: **1. The Rise of Autonomous AI Agents
in Daily Life** \nAs artificial intelligence technology progresses, the integration
of autonomous AI agents into everyday life becomes increasingly prominent. These
agents, capable of making decisions without human intervention, are reshaping
industries from healthcare to finance. Exploring case studies where autonomous
AI has successfully decreased operational costs or improved efficiency can reveal
not only the benefits but also the ethical implications of delegating decision-making
to machines. This topic offers an exciting opportunity to dive into the AI landscape,
showcasing current developments such as AI assistants and autonomous vehicles.\n\n**2.
Ethical Implications of Generative AI in Creative Industries** \nThe surge
of generative AI tools in creative fields, such as art, music, and writing,
has sparked a heated debate about authorship and originality. This article could
investigate how these tools are being used by artists and creators, examining
both the potential for innovation and the risk of devaluing traditional art
forms. Highlighting perspectives from creators, legal experts, and ethicists
could provide a comprehensive overview of the challenges faced, including copyright
concerns and the emotional impact on human artists. This discussion is vital
as the creative landscape evolves alongside technological advancements, making
it ripe for exploration.\n\n**3. AI in Climate Change Mitigation: Current Solutions
and Future Potential** \nAs the world grapples with climate change, AI technology
is increasingly being harnessed to develop innovative solutions for sustainability.
From predictive analytics that optimize energy consumption to machine learning
algorithms that improve carbon capture methods, AI''s potential in environmental
science is vast. This topic invites an exploration of existing AI applications
in climate initiatives, with a focus on groundbreaking research and initiatives
aimed at reducing humanity''s carbon footprint. Highlighting successful projects
and technology partnerships can illustrate the positive impact AI can have on
global climate efforts, inspiring further exploration and investment in this
area.\n\n**4. The Future of Work: How AI is Reshaping Employment Landscapes** \nThe
discussions around AI''s impact on the workforce are both urgent and complex,
as advances in automation and machine learning continue to transform the job
market. This article could delve into the current trends of AI-driven job displacement
alongside opportunities for upskilling and the creation of new job roles. By
examining case studies of companies that integrate AI effectively and the resulting
workforce adaptations, readers can gain valuable insights into preparing for
a future where humans and AI collaborate. This exploration highlights the importance
of policies that promote workforce resilience in the face of change.\n\n**5.
Decentralized AI: Exploring the Role of Blockchain in AI Development** \nAs
blockchain technology sweeps through various sectors, its application in AI
development presents a fascinating topic worth examining. Decentralized AI could
address issues of data privacy, security, and democratization in AI models by
allowing users to retain ownership of data while benefiting from AI''s capabilities.
This article could analyze how decentralized networks are disrupting traditional
AI development models, featuring innovative projects that harness the synergy
between blockchain and AI. Highlighting potential pitfalls and the future landscape
of decentralized AI could stimulate discussion among technologists, entrepreneurs,
and policymakers alike.\n\nThese topics not only reflect current trends but
also probe deeper into ethical and practical considerations, making them timely
and relevant for contemporary audiences."}], "model": "gpt-4o", "stop": ["\nObservation:"]}'
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '11757'
content-type:
- application/json
cookie:
- __cf_bm=fkio23z94nvulhv7S.4COs1R18ZlPZZn4xrPPkeT_PM-1743465529-1.0.1.1-UYwc4nmRP.wwPA08vw5QkJOa.DmaYsBZMkls4YAN.3yKLipw77UZ2zWltvoIeeoDrehvCkf_s4vlZvdoLbwF9PMZgtXvsce_oXdho7gPclo;
_cfuvid=icM8L9.yRk22iqPJZhDQeVHgfWZOnl1YiBFMJmVO8_8-1743465529821-0.0.1.1-604800000
host:
- api.openai.com
user-agent:
- OpenAI/Python 1.68.2
x-stainless-arch:
- arm64
x-stainless-async:
- 'false'
x-stainless-lang:
- python
x-stainless-os:
- MacOS
x-stainless-package-version:
- 1.68.2
x-stainless-raw-response:
- 'true'
x-stainless-read-timeout:
- '600.0'
x-stainless-retry-count:
- '0'
x-stainless-runtime:
- CPython
x-stainless-runtime-version:
- 3.12.8
method: POST
uri: https://api.openai.com/v1/chat/completions
response:
content: "{\n \"id\": \"chatcmpl-BHJJq4wV2B54HRuw5dIpI9fT5ZtHC\",\n \"object\":
\"chat.completion\",\n \"created\": 1743465538,\n \"model\": \"gpt-4o-2024-08-06\",\n
\ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\":
\"assistant\",\n \"content\": \"```\\nThought: I now know the final answer\\nFinal
Answer: **1. The Rise of Autonomous AI Agents in Daily Life** \\nAs artificial
intelligence technology progresses, the integration of autonomous AI agents
into everyday life becomes increasingly prominent. These agents, capable of
making decisions without human intervention, are reshaping industries from healthcare
to finance. Exploring case studies where autonomous AI has successfully decreased
operational costs or improved efficiency can reveal not only the benefits but
also the ethical implications of delegating decision-making to machines. This
topic offers an exciting opportunity to dive into the AI landscape, showcasing
current developments such as AI assistants and autonomous vehicles.\\n\\n**2.
Ethical Implications of Generative AI in Creative Industries** \\nThe surge
of generative AI tools in creative fields, such as art, music, and writing,
has sparked a heated debate about authorship and originality. This article could
investigate how these tools are being used by artists and creators, examining
both the potential for innovation and the risk of devaluing traditional art
forms. Highlighting perspectives from creators, legal experts, and ethicists
could provide a comprehensive overview of the challenges faced, including copyright
concerns and the emotional impact on human artists. This discussion is vital
as the creative landscape evolves alongside technological advancements, making
it ripe for exploration.\\n\\n**3. AI in Climate Change Mitigation: Current
Solutions and Future Potential** \\nAs the world grapples with climate change,
AI technology is increasingly being harnessed to develop innovative solutions
for sustainability. From predictive analytics that optimize energy consumption
to machine learning algorithms that improve carbon capture methods, AI's potential
in environmental science is vast. This topic invites an exploration of existing
AI applications in climate initiatives, with a focus on groundbreaking research
and initiatives aimed at reducing humanity's carbon footprint. Highlighting
successful projects and technology partnerships can illustrate the positive
impact AI can have on global climate efforts, inspiring further exploration
and investment in this area.\\n\\n**4. The Future of Work: How AI is Reshaping
Employment Landscapes** \\nThe discussions around AI's impact on the workforce
are both urgent and complex, as advances in automation and machine learning
continue to transform the job market. This article could delve into the current
trends of AI-driven job displacement alongside opportunities for upskilling
and the creation of new job roles. By examining case studies of companies that
integrate AI effectively and the resulting workforce adaptations, readers can
gain valuable insights into preparing for a future where humans and AI collaborate.
This exploration highlights the importance of policies that promote workforce
resilience in the face of change.\\n\\n**5. Decentralized AI: Exploring the
Role of Blockchain in AI Development** \\nAs blockchain technology sweeps through
various sectors, its application in AI development presents a fascinating topic
worth examining. Decentralized AI could address issues of data privacy, security,
and democratization in AI models by allowing users to retain ownership of data
while benefiting from AI's capabilities. This article could analyze how decentralized
networks are disrupting traditional AI development models, featuring innovative
projects that harness the synergy between blockchain and AI. Highlighting potential
pitfalls and the future landscape of decentralized AI could stimulate discussion
among technologists, entrepreneurs, and policymakers alike.\\n\\nThese topics
not only reflect current trends but also probe deeper into ethical and practical
considerations, making them timely and relevant for contemporary audiences.\\n```\",\n
\ \"refusal\": null,\n \"annotations\": []\n },\n \"logprobs\":
null,\n \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\":
2098,\n \"completion_tokens\": 653,\n \"total_tokens\": 2751,\n \"prompt_tokens_details\":
{\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\":
{\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\":
0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\":
\"default\",\n \"system_fingerprint\": \"fp_898ac29719\"\n}\n"
headers:
CF-RAY:
- 9293cc3fbbc87afd-SJC
Connection:
- keep-alive
Content-Encoding:
- gzip
Content-Type:
- application/json
Date:
- Mon, 31 Mar 2025 23:59:06 GMT
Server:
- cloudflare
Transfer-Encoding:
- chunked
X-Content-Type-Options:
- nosniff
access-control-expose-headers:
- X-Request-ID
alt-svc:
- h3=":443"; ma=86400
cf-cache-status:
- DYNAMIC
openai-organization:
- crewai-iuxna1
openai-processing-ms:
- '8353'
openai-version:
- '2020-10-01'
strict-transport-security:
- max-age=31536000; includeSubDomains; preload
x-ratelimit-limit-requests:
- '50000'
x-ratelimit-limit-tokens:
- '150000000'
x-ratelimit-remaining-requests:
- '49999'
x-ratelimit-remaining-tokens:
- '149997127'
x-ratelimit-reset-requests:
- 1ms
x-ratelimit-reset-tokens:
- 1ms
x-request-id:
- req_04659f093830c14dbc5342c119533861
http_version: HTTP/1.1
status_code: 200
- request:
body: '{"messages": [{"role": "system", "content": "You are Crew Manager. You
are a seasoned manager with a knack for getting the best out of your team.\nYou
are also known for your ability to delegate work to the right people, and to
ask the right questions to get the best out of your team.\nEven though you don''t
perform tasks by yourself, you have a lot of experience in the field, which
allows you to properly evaluate the work of your team members.\nYour personal
goal is: Manage the team to complete the task in the best way possible.\nYou
ONLY have access to the following tools, and should NEVER make up tools that
are not listed here:\n\nTool Name: Delegate work to coworker\nTool Arguments:
{''task'': {''description'': ''The task to delegate'', ''type'': ''str''}, ''context'':
{''description'': ''The context for the task'', ''type'': ''str''}, ''coworker'':
{''description'': ''The role/name of the coworker to delegate to'', ''type'':
''str''}}\nTool Description: Delegate a specific task to one of the following
coworkers: Researcher, Senior Writer\nThe input to this tool should be the coworker,
the task you want them to do, and ALL necessary context to execute the task,
they know nothing about the task, so share absolutely everything you know, don''t
reference things but instead explain them.\nTool Name: Ask question to coworker\nTool
Arguments: {''question'': {''description'': ''The question to ask'', ''type'':
''str''}, ''context'': {''description'': ''The context for the question'', ''type'':
''str''}, ''coworker'': {''description'': ''The role/name of the coworker to
ask'', ''type'': ''str''}}\nTool Description: Ask a specific question to one
of the following coworkers: Researcher, Senior Writer\nThe input to this tool
should be the coworker, the question you have for them, and ALL necessary context
to ask the question properly, they know nothing about the question, so share
absolutely everything you know, don''t reference things but instead explain
them.\n\nIMPORTANT: Use the following format in your response:\n\n```\nThought:
you should always think about what to do\nAction: the action to take, only one
name of [Delegate work to coworker, Ask question to coworker], just the name,
exactly as it''s written.\nAction Input: the input to the action, just a simple
JSON object, enclosed in curly braces, using \" to wrap keys and values.\nObservation:
the result of the action\n```\n\nOnce all necessary information is gathered,
return the following format:\n\n```\nThought: I now know the final answer\nFinal
Answer: the final answer to the original input question\n```"}, {"role": "user",
"content": "\nCurrent Task: Come up with a list of 5 interesting ideas to explore
for an article, then write one amazing paragraph highlight for each idea that
showcases how good an article about this topic could be. Return the list of
ideas with their paragraph and your notes.\n\nThis is the expected criteria
for your final answer: 5 bullet points with a paragraph for each idea.\nyou
MUST return the actual complete content as the final answer, not a summary.\n\nBegin!
This is VERY important to you, use the tools available and give your best Final
Answer, your job depends on it!\n\nThought:"}, {"role": "assistant", "content":
"```\nThought: To come up with interesting article ideas and write compelling
highlights, I should first generate a list of potential topics. The Researcher
can help with gathering current trends or interesting topics that might be engaging.
Then, I can delegate writing the paragraph highlights to the Senior Writer.\n\nAction:
Ask question to coworker\nAction Input: {\"question\": \"What are some current
trending topics or subjects that are interesting to explore for an article?\",
\"context\": \"I need to generate a list of 5 interesting ideas to explore for
an article, each paired with an amazing paragraph highlight. Current trends
or unusual insights could be a good source of inspiration for these ideas.\",
\"coworker\": \"Researcher\"}\nObservation: **1. The Rise of Autonomous AI Agents
in Daily Life** \nAs artificial intelligence technology progresses, the integration
of autonomous AI agents into everyday life becomes increasingly prominent. These
agents, capable of making decisions without human intervention, are reshaping
industries from healthcare to finance. Exploring case studies where autonomous
AI has successfully decreased operational costs or improved efficiency can reveal
not only the benefits but also the ethical implications of delegating decision-making
to machines. This topic offers an exciting opportunity to dive into the AI landscape,
showcasing current developments such as AI assistants and autonomous vehicles.\n\n**2.
Ethical Implications of Generative AI in Creative Industries** \nThe surge
of generative AI tools in creative fields, such as art, music, and writing,
has sparked a heated debate about authorship and originality. This article could
investigate how these tools are being used by artists and creators, examining
both the potential for innovation and the risk of devaluing traditional art
forms. Highlighting perspectives from creators, legal experts, and ethicists
could provide a comprehensive overview of the challenges faced, including copyright
concerns and the emotional impact on human artists. This discussion is vital
as the creative landscape evolves alongside technological advancements, making
it ripe for exploration.\n\n**3. AI in Climate Change Mitigation: Current Solutions
and Future Potential** \nAs the world grapples with climate change, AI technology
is increasingly being harnessed to develop innovative solutions for sustainability.
From predictive analytics that optimize energy consumption to machine learning
algorithms that improve carbon capture methods, AI''s potential in environmental
science is vast. This topic invites an exploration of existing AI applications
in climate initiatives, with a focus on groundbreaking research and initiatives
aimed at reducing humanity''s carbon footprint. Highlighting successful projects
and technology partnerships can illustrate the positive impact AI can have on
global climate efforts, inspiring further exploration and investment in this
area.\n\n**4. The Future of Work: How AI is Reshaping Employment Landscapes** \nThe
discussions around AI''s impact on the workforce are both urgent and complex,
as advances in automation and machine learning continue to transform the job
market. This article could delve into the current trends of AI-driven job displacement
alongside opportunities for upskilling and the creation of new job roles. By
examining case studies of companies that integrate AI effectively and the resulting
workforce adaptations, readers can gain valuable insights into preparing for
a future where humans and AI collaborate. This exploration highlights the importance
of policies that promote workforce resilience in the face of change.\n\n**5.
Decentralized AI: Exploring the Role of Blockchain in AI Development** \nAs
blockchain technology sweeps through various sectors, its application in AI
development presents a fascinating topic worth examining. Decentralized AI could
address issues of data privacy, security, and democratization in AI models by
allowing users to retain ownership of data while benefiting from AI''s capabilities.
This article could analyze how decentralized networks are disrupting traditional
AI development models, featuring innovative projects that harness the synergy
between blockchain and AI. Highlighting potential pitfalls and the future landscape
of decentralized AI could stimulate discussion among technologists, entrepreneurs,
and policymakers alike.\n\nThese topics not only reflect current trends but
also probe deeper into ethical and practical considerations, making them timely
and relevant for contemporary audiences."}], "model": "gpt-4o", "stop": ["\nObservation:"]}'
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '7865'
content-type:
- application/json
cookie:
- _cfuvid=icM8L9.yRk22iqPJZhDQeVHgfWZOnl1YiBFMJmVO8_8-1743465529821-0.0.1.1-604800000
host:
- api.openai.com
user-agent:
- OpenAI/Python 1.93.0
x-stainless-arch:
- arm64
x-stainless-async:
- 'false'
x-stainless-lang:
- python
x-stainless-os:
- MacOS
x-stainless-package-version:
- 1.93.0
x-stainless-raw-response:
- 'true'
x-stainless-read-timeout:
- '600.0'
x-stainless-retry-count:
- '0'
x-stainless-runtime:
- CPython
x-stainless-runtime-version:
- 3.12.9
method: POST
uri: https://api.openai.com/v1/chat/completions
response:
body:
string: !!binary |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headers:
CF-RAY:
- 974efac6faf5cf15-SJC
Connection:
- keep-alive
Content-Encoding:
- gzip
Content-Type:
- application/json
Date:
- Mon, 25 Aug 2025 23:48:25 GMT
Server:
- cloudflare
Set-Cookie:
- __cf_bm=yJXo3QqFAYYxljNSZBr47v.aphUMHM_ulx8v95ohSS4-1756165705-1.0.1.1-hhSjgTF5yD4vPuetC1LZGfC4KDF6RXEOSk8B4k4kOCq0XyfGNZkzt8kMn.F..aqu9T7UeYwKJprb.ZhscrKkokkqPou4V3aYXTAqIb2GZvE;
path=/; expires=Tue, 26-Aug-25 00:18:25 GMT; domain=.api.openai.com; HttpOnly;
Secure; SameSite=None
- _cfuvid=yh2RjFXBfB0RrOxRjxqkpRIka8SH8Bv0F2PRUGTNLkY-1756165705944-0.0.1.1-604800000;
path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None
Strict-Transport-Security:
- max-age=31536000; includeSubDomains; preload
Transfer-Encoding:
- chunked
X-Content-Type-Options:
- nosniff
access-control-expose-headers:
- X-Request-ID
alt-svc:
- h3=":443"; ma=86400
cf-cache-status:
- DYNAMIC
openai-organization:
- crewai-iuxna1
openai-processing-ms:
- '6170'
openai-project:
- proj_xitITlrFeen7zjNSzML82h9x
openai-version:
- '2020-10-01'
x-envoy-upstream-service-time:
- '6192'
x-ratelimit-limit-project-requests:
- '10000'
x-ratelimit-limit-requests:
- '10000'
x-ratelimit-limit-tokens:
- '30000000'
x-ratelimit-remaining-project-requests:
- '9999'
x-ratelimit-remaining-requests:
- '9999'
x-ratelimit-remaining-tokens:
- '29998089'
x-ratelimit-reset-project-requests:
- 6ms
x-ratelimit-reset-requests:
- 6ms
x-ratelimit-reset-tokens:
- 3ms
x-request-id:
- req_f470345c656b4bb7abb0ab09372eabef
status:
code: 200
message: OK
version: 1
Reference in New Issue View Git Blame Copy Permalink