Lorenze/better tracing events (#3382)
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* 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.
This commit is contained in:
Lorenze Jay
2025-08-26 09:09:46 -07:00
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commit 7addda9398
43 changed files with 5151 additions and 295 deletions

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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":
"Thought: To come up with a list of 5 interesting article ideas and write a
compelling paragraph for each one, I should first generate the ideas. For this,
I will delegate the task to the Researcher and then use the Senior Writer to
create the paragraphs.\n\nAction: Delegate work to coworker\nAction Input: {\"task\":
\"Generate a list of 5 interesting ideas to explore for an article.\", \"context\":
\"We need to come up with 5 interesting and unique article ideas that will captivate
readers.\", \"coworker\": \"Researcher\"}\nObservation: 1. **The Rise of AI
in Healthcare: Revolutionizing Diagnosis and Treatment**\n - Artificial intelligence
is transforming the healthcare industry in unprecedented ways. From enhancing
diagnostic accuracy with AI-driven tools to creating personalized treatment
plans, AI is bridging gaps in medical care and bringing about a revolution.
Imagine a world where diseases are diagnosed at lightning speed, and treatments
are tailored to individual genetic makeups. This article will explore these
groundbreaking advancements, featuring real-world applications and expert insights,
revealing the future of healthcare driven by AI.\n\n2. **AI and Ethics: Navigating
the Moral Complexity of Machine Intelligence**\n - As AI technology advances,
ethical dilemmas emerge, challenging our understanding of morality and responsibility.
This article delves into the complex world of AI ethics, examining pressing
issues like algorithmic bias, privacy concerns, and the ethical responsibilities
of developers. With input from ethicists, technologists, and policymakers, it
offers a comprehensive look at the moral landscape of AI, guiding readers through
the critical questions that shape the future of machine intelligence and its
impact on society.\n\n3. **AI Agents in the Workplace: Enhancing Productivity
or Eroding Jobs?**\n - The introduction of AI agents in the workplace presents
a double-edged sword; while these technologies can vastly enhance productivity
by automating routine tasks, they also raise concerns about job displacement.
This article paints a balanced picture, drawing on data and expert forecasts
to explore both sides of the argument. Are we heading towards a future where
AI aids human creativity and efficiency, or are we on the brink of a job crisis?
The answer may be a nuanced blend of both.\n\n4. **From Science Fiction to Reality:
The Evolution of AI Agents in Popular Culture**\n - AI has long been a staple
of science fiction, captivating audiences with visions of intelligent machines.
This article traces the portrayal of AI agents in movies, books, and video games,
juxtaposing these fictional narratives against today\u2019s technological realities.
Interviews with creators from the entertainment industry and AI experts illuminate
how close\u2014or far\u2014we are from making these sci-fi dreams a reality,
providing a fascinating journey through the evolution of AI in popular culture.\n\n5.
**The Future of AI in Personalization: Creating Tailored Experiences in Everyday
Life**\n - Imagine a world where every experience, from shopping to entertainment,
is uniquely tailored to your preferences by intelligent systems. This article
explores the cutting-edge of AI-driven personalization, discussing current technologies
and future potentials. Featuring insights from industry leaders and technologists,
readers will discover how AI is revolutionizing the way we live, offering bespoke
experiences that were once the realm of fantasy but are swiftly becoming a part
of our daily lives."}, {"role": "assistant", "content": "Thought: Now that I
have the list of 5 interesting article ideas from the Researcher, the next step
is to ask the Senior Writer to create a compelling paragraph for each idea.
This will ensure that each topic is highlighted effectively.\n\nAction: Delegate
work to coworker\nAction Input: {\"task\": \"Write one amazing paragraph highlight
for each of these 5 article ideas: \\n\\n1. **The Rise of AI in Healthcare:
Revolutionizing Diagnosis and Treatment**\\n- This article could explore how
AI is making strides in the healthcare industry. From AI-driven diagnostic tools
to personalized treatment plans, the piece could highlight real-world applications
and the potential future impact. Interviews with healthcare professionals and
case studies could add depth and credibility.\\n\\n2. **AI and Ethics: Navigating
the Moral Complexity of Machine Intelligence**\\n- Delve into the ethical considerations
surrounding AI development and deployment. The article could examine issues
such as bias in AI algorithms, privacy concerns, and the ethical responsibility
of AI developers. Expert opinions from ethicists, technologists, and policymakers
can provide a well-rounded perspective.\\n\\n3. **AI Agents in the Workplace:
Enhancing Productivity or Eroding Jobs?**\\n- This piece can analyze the dual
impact of AI agents in the professional environment. While some argue that AI
can significantly boost productivity by automating mundane tasks, others fear
job displacement. The article can present both sides, backed by data and forecasts
about labor market trends.\\n\\n4. **From Science Fiction to Reality: The Evolution
of AI Agents in Popular Culture**\\n- An engaging piece that traces the depiction
of AI agents in movies, books, and video games, and compares these fictional
portrayals to the current state of AI technology. This can include interviews
with creators from the entertainment industry and AI experts to discuss how
close we are to realizing these sci-fi visions.\\n\\n5. **The Future of AI in
Personalization: Creating Tailored Experiences in Everyday Life**\\n- Discuss
how AI is enhancing personalization in various domains such as shopping, entertainment,
education, and personal finance. The focus can be on current technologies and
future possibilities, featuring insights from industry leaders and technologists
who are driving these innovations.\", \"context\": \"Create compelling paragraphs
that highlight the potential and intrigue of each article idea. These should
be engaging and showcase how fascinating each article could be.\", \"coworker\":
\"Senior Writer\"}\n\nObservation: The Senior Writer provided the following
compelling paragraphs for each article idea:\n\n1. **The Rise of AI in Healthcare:
Revolutionizing Diagnosis and Treatment**\n - Imagine a world where a doctor
can diagnose a condition with pinpoint accuracy, thanks to the help of artificial
intelligence. AI is already transforming healthcare with advanced diagnostic
tools and personalized treatment plans. This article would delve into real-world
cases where AI has made a significant impact, providing insights from healthcare
professionals who witness these technological advancements firsthand. The future
of medicine is not only in the hands of doctors and nurses but also in the code
and algorithms of AI systems.\n\n2. **AI and Ethics: Navigating the Moral Complexity
of Machine Intelligence**\n - The rapid development of artificial intelligence
brings with it not just technological advancements but also a slew of ethical
dilemmas. This article will explore the complex moral landscape AI inhabits,
questioning the bias that may be programmed into algorithms, the privacy concerns
surrounding data usage, and the ethical responsibilities of those who develop
AI technologies. Insightful perspectives from ethicists, technologists, and
policymakers will highlight how society can navigate these challenges to ensure
that AI benefits humanity as a whole.\n\n3. **AI Agents in the Workplace: Enhancing
Productivity or Eroding Jobs?**\n - As AI agents become more integrated into
the workforce, the debate over their impact intensifies. This article will examine
how AI can boost productivity by automating routine tasks, thereby freeing up
human workers for more creative and strategic roles. However, it will also address
the fear of job displacement and present data and forecasts about the future
labor market. Balanced viewpoints from industry analysts and workers affected
by AI implementation will offer a comprehensive understanding of the pros and
cons of AI in the workplace.\n\n4. **From Science Fiction to Reality: The Evolution
of AI Agents in Popular Culture**\n - From HAL 9000 to Jarvis, AI agents have
long captivated our imaginations in books, movies, and video games. This article
will take readers on a journey through time, highlighting how AI has been portrayed
in popular culture and comparing these fictional depictions to the current state
of AI technology. Conversations with creators from the entertainment industry
and AI experts will reveal whether these sci-fi visions are becoming our reality
and what the future holds for AI in culture.\n\n5. **The Future of AI in Personalization:
Creating Tailored Experiences in Everyday Life**\n - In an increasingly digital
world, AI is enhancing personalization across various domains, crafting tailored
experiences that cater to individual needs. This article will explore how AI
is revolutionizing everything from shopping and entertainment to education and
personal finance. Featuring insights from industry leaders and technologists,
the piece will showcase the current state of personalization technologies and
speculate on future advancements, painting a vivid picture of a world where
AI knows us better than we know ourselves.\nObservation: 1. **The Rise of AI
in Healthcare: Revolutionizing Diagnosis and Treatment**\n - Artificial Intelligence
is spearheading a transformative era in healthcare, fundamentally altering how
diseases are diagnosed and treated. AI-driven diagnostic tools are already outperforming
human experts in identifying ailments from medical images, while personalized
treatment plans are becoming a reality through predictive analytics that cater
to individual patient needs. This article will dive into real-world applications,
such as AI algorithms detecting early-stage cancers or predicting patient outcomes
with unprecedented accuracy. Featuring interviews with healthcare professionals
and insightful case studies, it will paint a vivid picture of how AI is not
only enhancing medical outcomes but also reshaping the entire healthcare landscape
for the future.\n\n2. **AI and Ethics: Navigating the Moral Complexity of Machine
Intelligence**\n - As Artificial Intelligence continues to evolve, it brings
with it a host of ethical dilemmas that society must grapple with. This article
will delve into the moral intricacies of AI, focusing on pressing issues such
as algorithmic bias, the preservation of privacy, and the ethical duties of
AI developers. By examining high-profile cases of biased AI and exploring the
perspectives of ethicists, technologists, and policymakers, the piece will offer
a comprehensive look at the ethical landscape of machine intelligence. It aims
to provoke thought and spark dialogue on how we can responsibly harness AI''s
power while safeguarding human values and rights.\n\n3. **AI Agents in the Workplace:
Enhancing Productivity or Eroding Jobs?**\n - The integration of AI agents
in the workplace presents a paradox of progress and peril. On one hand, AI can
drastically enhance productivity by automating repetitive tasks and offering
intelligent insights that drive innovation. On the other, there is a growing
concern about job displacement and the socioeconomic implications of a heavily
automated workforce. This article will explore this dual impact, presenting
data and forecasts on labor market trends and featuring opinions from industry
experts, economists, and affected workers. By striking a balance between optimism
and caution, it will provide a nuanced view of AI''s role in reshaping the future
of work.\n\n4. **From Science Fiction to Reality: The Evolution of AI Agents
in Popular Culture**\n - The portrayal of AI agents in popular culture has
long fascinated and terrified us, from the benevolent, human-like robots of
movies and books to the dystopian scenarios of video games. This article will
take readers on a journey through the evolution of AI in fiction, contrasting
these imaginative narratives with the current capabilities and limitations of
real-world AI. Interviews with filmmakers, authors, and game developers, alongside
insights from AI researchers, will shed light on how closely today''s technology
mirrors these sci-fi visions. The piece aims to captivate readers by exploring
the interplay between creativity and technological advancement, revealing the
thin line between fantasy and reality.\n\n5. **The Future of AI in Personalization:
Creating Tailored Experiences in Everyday Life**\n - AI is revolutionizing
the concept of personalization, offering users tailored experiences in areas
as diverse as shopping, entertainment, education, and personal finance. This
article will explore how AI algorithms are learning from user behaviors and
preferences to deliver highly customized content and recommendations, enhancing
user satisfaction and engagement. By highlighting current technologies and featuring
interviews with industry leaders and technologists, it will forecast future
possibilities and innovations. The piece will demonstrate how AI personalization
is not just a trend, but a paradigm shift in how we interact with technology
in our daily lives, promising a future where every experience can be uniquely
tailored to individual needs. \n\nThese paragraphs showcase the potential and
intrigue of each topic, demonstrating how engaging and insightful the articles
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