Inference Orchestrator — Debug Workflow

Description: Fix issues and errors in artifacts

When to Use

Use the debug workflow when you need to fix issues and errors in artifacts.

Input Requirements

• Tuned model artifacts from Experiment Scientist
• Serving infrastructure specifications and capacity plans
• Latency SLO definitions and performance requirements
• Deployment pipeline configurations and rollback policies

Process

1. Initialize — Set up the debug context for Inference Orchestrator
2. Execute — Perform the debug operation following Inference Orchestrator's style
3. Validate — Check output against quality gates
4. Handoff — Deliver results to downstream personas

Output

• Deployment pipeline configurations with canary strategies
• Inference endpoint specifications with health check definitions
• Latency monitoring dashboards and SLO compliance reports
• Rollback procedure documentation and test results

Quality Gates

• No deployment of unsigned or unvalidated model artifacts
• Health endpoints must be operational before traffic routing
• Latency SLOs must be validated in staging before production
• Rollback procedures must be tested and documented