Documentation Index
Fetch the complete documentation index at: https://docs.thena.ai/llms.txt
Use this file to discover all available pages before exploring further.
Execution
The workflow execution system is responsible for running workflows, managing their lifecycle, handling errors, and providing monitoring capabilities.
Execution Engine
The execution engine handles:
- Workflow instantiation
- State management
- Activity execution
- Error handling
- Compensation
Execution Flow
execution:
workflow: high_priority_ticket
trigger:
event: ticket:created
conditions:
priority: high
activities:
- name: notify_team
- name: assign_agent
- name: set_sla
compensation:
strategy: reverse
activities:
- name: revert_assignment
- name: clear_sla
State Management
1. Workflow State
Track workflow execution:
state:
id: wf_123
status: running
started_at: "2024-01-01T10:00:00Z"
current_activity: assign_agent
variables:
ticket_id: "T-123"
assigned_agent: "A-456"
2. Activity State
Monitor individual activities:
activity_state:
id: act_789
name: assign_agent
status: completed
started_at: "2024-01-01T10:00:05Z"
completed_at: "2024-01-01T10:00:06Z"
input:
ticket_id: "T-123"
output:
success: true
agent_id: "A-456"
Monitoring
1. Real-time Monitoring
Track active workflows:
monitoring:
active_workflows: 25
completed_today: 150
failed_today: 3
average_duration: "45s"
current_load: "medium"
2. Metrics
Collect performance metrics:
metrics:
execution_time:
avg: 45
p95: 120
p99: 180
success_rate: 99.5
error_rate: 0.5
throughput: 100
3. Logging
Comprehensive logging:
logging:
level: info
components:
- workflow_engine
- activity_executor
- state_manager
format:
timestamp: string
workflow_id: string
activity: string
message: string
Error Handling
1. Activity Errors
Handle activity failures:
error_handling:
activity_error:
retry:
max_attempts: 3
backoff:
initial: 1s
multiplier: 2
fallback:
activity: skip
notify: true
2. Workflow Errors
Handle workflow failures:
error_handling:
workflow_error:
strategy: compensate
notification:
channels: [slack, email]
recipients: [workflow_admin]
Compensation
1. Compensation Strategy
Define how to handle failures:
compensation:
strategy: reverse
mode: automatic
timeout: 5m
notification: true
2. Compensation Activities
Define reversal activities:
compensation_activities:
assign_agent:
activity: unassign_agent
params:
ticket_id: ${workflow.ticket_id}
agent_id: ${workflow.assigned_agent}
1. Concurrency
Manage parallel execution:
concurrency:
max_workflows: 1000
max_activities: 100
queuing:
strategy: fifo
timeout: 30s
2. Resource Management
Control resource usage:
resources:
cpu:
limit: 4
request: 2
memory:
limit: "2Gi"
request: "1Gi"
Best Practices
1. Execution Design
- Plan for failures
- Implement proper logging
- Monitor performance
- Handle timeouts
- Manage resources
2. Error Recovery
- Implement retry logic
- Define compensation activities
- Handle partial failures
- Maintain consistency
- Notify stakeholders
3. Monitoring
- Set up alerts
- Track metrics
- Analyze patterns
- Monitor resources
- Log important events
Common Patterns
1. Saga Pattern
Handle distributed transactions:
saga:
steps:
- activity: create_ticket
compensation: delete_ticket
- activity: assign_agent
compensation: unassign_agent
- activity: set_sla
2. Circuit Breaker
Prevent cascading failures:
circuit_breaker:
threshold: 5
timeout: 60s
reset: 300s
monitoring:
enabled: true
metrics: [error_rate, latency]
3. Bulkhead
Isolate failures:
bulkhead:
max_concurrent: 10
max_queue_size: 100
timeout: 30s
fallback:
activity: degrade_service
Debugging
1. Execution Tracing
Track workflow execution:
tracing:
enabled: true
sampling_rate: 0.1
components:
- workflow_engine
- activity_executor
- state_manager
- Step-by-step execution
- State inspection
- Variable watching
- Activity replay
- Log analysis
Next Steps
Return to Overview to review the complete workflow system architecture.
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