Zendesk Integration

uv add crewai-tools

export CREWAI_PLATFORM_INTEGRATION_TOKEN="your_enterprise_token"

CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token

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

from crewai import Agent, Task, Crew
from crewai import Agent, Task, Crew

# 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.",
    apps=['zendesk']  # All Zendesk actions will be available
)

# 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 import Agent, Task, Crew

# Create agent with specific Zendesk actions only
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.",
    apps=['zendesk/create_ticket']  # Specific Zendesk actions
)

# 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

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.",
    apps=['zendesk']
)

# Task to manage ticket lifecycle
ticket_workflow = Task(
    description="""
    1. Create a new support ticket for account access issues
    2. Add internal notes with troubleshooting steps
    3. Update ticket priority based on customer tier
    4. Add resolution comments and close the ticket
    """,
    agent=ticket_manager,
    expected_output="Complete ticket lifecycle managed from creation to resolution"
)

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

crew.kickoff()

from crewai import Agent, Task, Crew

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.",
    apps=['zendesk']
)

# 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()