When to escalate to frontier models
Frontier models should be escalation tools for ambiguity, high-risk synthesis, and final review, not the default for every step.
The best cost control is not avoiding powerful models. It is using them where their extra reasoning changes the result.
AstraRunner treats this as an execution-platform concern: the run needs durable state, traceable decisions, cost visibility, and enough structure for teams to review what happened after the agent finishes.
Patterns that work
- Escalate on low confidence, conflicting evidence, or high business risk.
- Use smaller models for deterministic extraction and formatting.
- Require final review on irreversible actions.
- Compare frontier use against grade improvement.
Implementation checklist
- Define escalation triggers.
- Record model tier in trace spans.
- Cap repeated frontier retries.
- Review high-cost runs weekly.
Watch outs
- A frontier model cannot compensate for missing context.
- Escalation rules can drift if only prompt-based.
- Premium review still needs acceptance criteria.
Related reading
How this fits the Astra stack
AstraRunner owns the operational path for agent work: orchestration, scheduling, approval gates, traces, costs, and role-agent handoffs. AstraMemory owns durable context and retrieval. AstraGenie turns those capabilities into product workflows for teams that want automation without rebuilding the platform layer.