Zendesk 통합

[
  { "id": 27642, "value": "745" },
  { "id": 27648, "value": "yes" }
]

from crewai import Agent, Task, Crew
from crewai_tools import CrewaiEnterpriseTools

# Get enterprise tools (Zendesk tools will be included)
enterprise_tools = CrewaiEnterpriseTools(
    enterprise_token="your_enterprise_token"
)

# Create an agent with Zendesk capabilities
zendesk_agent = Agent(
    role="Support Manager",
    goal="Manage customer support tickets and provide excellent customer service",
    backstory="An AI assistant specialized in customer support operations and ticket management.",
    tools=[enterprise_tools]
)

# Task to create a new support ticket
create_ticket_task = Task(
    description="Create a high-priority support ticket for John Smith who is unable to access his account after password reset",
    agent=zendesk_agent,
    expected_output="Support ticket created successfully with ticket ID"
)

# Run the task
crew = Crew(
    agents=[zendesk_agent],
    tasks=[create_ticket_task]
)

crew.kickoff()

from crewai_tools import CrewaiEnterpriseTools

# Get only specific Zendesk tools
enterprise_tools = CrewaiEnterpriseTools(
    enterprise_token="your_enterprise_token",
    actions_list=["zendesk_create_ticket", "zendesk_update_ticket", "zendesk_add_comment_to_ticket"]
)

support_agent = Agent(
    role="Customer Support Agent",
    goal="Handle customer inquiries and resolve support issues efficiently",
    backstory="An experienced support agent who specializes in ticket resolution and customer communication.",
    tools=enterprise_tools
)

# Task to manage support workflow
support_task = Task(
    description="Create a ticket for login issues, add troubleshooting comments, and update status to resolved",
    agent=support_agent,
    expected_output="Support ticket managed through complete resolution workflow"
)

crew = Crew(
    agents=[support_agent],
    tasks=[support_task]
)

crew.kickoff()

from crewai import Agent, Task, Crew
from crewai_tools import CrewaiEnterpriseTools

enterprise_tools = CrewaiEnterpriseTools(
    enterprise_token="your_enterprise_token"
)

ticket_manager = Agent(
    role="Ticket Manager",
    goal="Manage support ticket workflows and ensure timely resolution",
    backstory="An AI assistant that specializes in support ticket triage and workflow optimization.",
    tools=[enterprise_tools]
)

# Task to manage ticket lifecycle
ticket_workflow = Task(
    description="""
    1. 계정 접근 문제에 대한 새로운 지원 티켓을 생성합니다.
    2. 문제 해결 단계를 내부 노트에 추가합니다.
    3. 고객 등급에 따라 티켓 우선순위를 업데이트합니다.
    4. 해결 코멘트를 추가하고 티켓을 종료합니다.
    """,
    agent=ticket_manager,
    expected_output="티켓 생성부터 해결까지 전체 생명주기 관리"
)

crew = Crew(
    agents=[ticket_manager],
    tasks=[ticket_workflow]
)

crew.kickoff()

from crewai import Agent, Task, Crew
from crewai_tools import CrewaiEnterpriseTools

enterprise_tools = CrewaiEnterpriseTools(
    enterprise_token="your_enterprise_token"
)

support_analyst = Agent(
    role="Support Analyst",
    goal="Analyze support metrics and generate insights for team performance",
    backstory="An analytical AI that excels at extracting insights from support data and ticket patterns.",
    tools=[enterprise_tools]
)

# Complex task involving analytics and reporting
analytics_task = Task(
    description="""
    1. Search for all open tickets from the last 30 days
    2. Analyze ticket resolution times and customer satisfaction
    3. Identify common issues and support patterns
    4. Generate weekly support performance report
    """,
    agent=support_analyst,
    expected_output="Comprehensive support analytics report with performance insights and recommendations"
)

crew = Crew(
    agents=[support_analyst],
    tasks=[analytics_task]
)

crew.kickoff()