Files
crewAI/lib/crewai/tests/cassettes/test_crew_train_success.yaml
Greyson LaLonde e134e5305b Gl/feat/a2a refactor (#3793)
* feat: agent metaclass, refactor a2a to wrappers

* feat: a2a schemas and utils

* chore: move agent class, update imports

* refactor: organize imports to avoid circularity, add a2a to console

* feat: pass response_model through call chain

* feat: add standard openapi spec serialization to tools and structured output

* feat: a2a events

* chore: add a2a to pyproject

* docs: minimal base for learn docs

* fix: adjust a2a conversation flow, allow llm to decide exit until max_retries

* fix: inject agent skills into initial prompt

* fix: format agent card as json in prompt

* refactor: simplify A2A agent prompt formatting and improve skill display

* chore: wide cleanup

* chore: cleanup logic, add auth cache, use json for messages in prompt

* chore: update docs

* fix: doc snippets formatting

* feat: optimize A2A agent card fetching and improve error reporting

* chore: move imports to top of file

* chore: refactor hasattr check

* chore: add httpx-auth, update lockfile

* feat: create base public api

* chore: cleanup modules, add docstrings, types

* fix: exclude extra fields in prompt

* chore: update docs

* tests: update to correct import

* chore: lint for ruff, add missing import

* fix: tweak openai streaming logic for response model

* tests: add reimport for test

* tests: add reimport for test

* fix: don't set a2a attr if not set

* fix: don't set a2a attr if not set

* chore: update cassettes

* tests: fix tests

* fix: use instructor and dont pass response_format for litellm

* chore: consolidate event listeners, add typing

* fix: address race condition in test, update cassettes

* tests: add correct mocks, rerun cassette for json

* tests: update cassette

* chore: regenerate cassette after new run

* fix: make token manager access-safe

* fix: make token manager access-safe

* merge

* chore: update test and cassete for output pydantic

* fix: tweak to disallow deadlock

* chore: linter

* fix: adjust event ordering for threading

* fix: use conditional for batch check

* tests: tweak for emission

* tests: simplify api + event check

* fix: ensure non-function calling llms see json formatted string

* tests: tweak message comparison

* fix: use internal instructor for litellm structure responses

---------

Co-authored-by: Mike Plachta <mike@crewai.com>
2025-10-31 18:42:03 -07:00

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need for agile strategies, are leveraging AI agents to reshape financial decision-making.
This article could investigate the ways in which startups are harnessing AI
to automate administrative tasks, gain insights through predictive analytics,
and improve customer engagement. By presenting in-depth case studies, the article
would quantify the improvements brought about by integrating AI agents, demonstrating
the potential cost savings and increased efficiency they offer. Furthermore,
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advantages, ultimately serving as a crucial resource for entrepreneurs and investors
looking to navigate the evolving business landscape.\\n\\nThese ideas not only
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also address the underlying ethical, social, and financial dynamics that are
essential for a thorough understanding of their role in society today.\\n\\n------------------------------------------------\\n\\nIteration:
1\\nInitial Output:\\n- **The Rise of AI Agents in Remote Work Environments**
\ \\nIn the wake of the pandemic, remote work has become a part of our daily
lives. AI agents are stepping into this new workspace, facilitating communication,
task management, and team collaboration like never before. By exploring the
impact of AI agents in virtual settings, the article could delve into how these
intelligent systems optimize productivity, reduce operational costs, and enhance
employee satisfaction. The journey of these agents\u2014from simple chatbots
to sophisticated virtual assistants\u2014presents a fascinating evolution that
reshapes not just how we work but also how we connect.\\n\\n- **Ethical Implications
of AI Decision-Making** \\nAs AI systems gain prominence in decision-making
processes across various sectors\u2014from healthcare to finance\u2014the ethical
implications become more pressing. An insightful article could dissect the moral
dilemmas posed by AI, such as biases embedded in algorithms, data privacy concerns,
and the accountability of AI's actions. By interrogating the complexities of
trust in AI systems, the piece could highlight the critical need for transparent
frameworks and governance, ensuring that AI serves humanity fairly and justly
in an increasingly automated world.\\n\\n- **AI Agents as Creative Collaborators**
\ \\nAI's foray into creative domains is revolutionizing fields such as art,
music, and writing. An engaging article could showcase how AI agents function
alongside human creators, pushing the boundaries of creativity and innovation.
This exploration could highlight notable collaborations between humans and AI,
celebrating the intriguing ways in which technology enhances artistic expression.
By illustrating the symbiotic relationship between human intuition and AI's
analytical prowess, the article could underscore that creativity is no longer
solely a human domain but a collective endeavor involving intelligent machines.\\n\\n-
**Personalized Learning Experiences through AI Agents** \\nEducation is undergoing
a transformation with the integration of AI agents into personalized learning
environments. An article could examine how these agents tailor educational content
to individual student's needs, moving away from one-size-fits-all approaches
toward truly customized learning experiences. By interviewing educators and
students, the piece can illustrate the profound impact of AI on student engagement,
academic performance, and emotional support, making a strong case for the necessity
of AI-driven methods in modern education.\\n\\n- **The Future of AI in Mental
Health Support** \\nAs mental health becomes an increasingly crucial area of
focus, AI agents are emerging as supplementary tools for psychological support.
An article could explore the role of AI in providing real-time assistance, stigma
reduction, and accessibility to mental health resources. By sharing success
stories and evidence from trials, the piece can encapsulate the potential for
AI agents to act as companions that offer kindness and empathy, alongside professional
support. This discussion may ultimately lead to a greater appreciation of AI's
capacity to enhance mental well-being in an era where mental health challenges
are more prevalent than ever.\\n\\nNotes: Each of these ideas addresses a timely
and relevant intersection between technology and human experience, making them
compelling subjects for in-depth articles. The potential for engaging readers
with real-world applications, ethical considerations, and innovative collaborations
ensures that these topics will resonate widely and inspire thoughtful discussion.\\n\\nHuman
Feedback:\\nGreat work!\\n\\nImproved Output:\\n- **The Rise of AI Agents in
Remote Work Environments** \\nIn the wake of the pandemic, remote work has
become a staple in our daily routines, reshaping how businesses operate globally.
AI agents are uniquely positioned to enhance this dynamic, stepping into virtual
offices to facilitate seamless communication, task management, and collaborative
projects. An article exploring the impact of AI agents in remote settings could
investigate how these intelligent assistants optimize productivity, reduce operational
costs, and improve employee morale by mitigating the isolation often felt in
remote work. The journey of AI\u2014from basic scheduling tools to multifunctional
virtual colleagues\u2014offers a captivating narrative on technology's role
in redefining our professional landscape and fostering human connections in
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AI systems increasingly influence critical decision-making in various sectors
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become a hotbed for discussion. A thorough investigation into the moral dilemmas
surrounding AI could scrutinize issues such as system biases, data privacy,
and the ambiguity of accountability for AI-driven outcomes. This article could
engage with thought leaders and ethicists to illuminate the pressing need for
ethical frameworks and governance models that ensure AI technologies promote
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where AI and human artists co-create, this piece would delve into the possibilities
that arise when technology enhances human expression, evolving the narrative
around creativity as a shared endeavor rather than a solitary pursuit.\\n\\n-
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Interviews with educators and students could reveal powerful testimonials that
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engage readers in meaningful dialogue. This comprehensive approach will enhance
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audience.\\n\\n------------------------------------------------\\n\\nPlease
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