Fallback Chains
Give any type of work an ordered list of backup agents, and pick which failures hand off to them — launch error, provider unavailable, rate limit, quota exhausted, or no response. A run that would have died on one provider's limit continues on the next engine instead.
Screenshot coming soon
Why You Need This
How this feature boosts your daily productivity
A long agent run is only as reliable as the provider behind it. Hit a rate limit at 2am and the old outcome was the same every time: the run stopped, nothing came back, and you found out in the morning and started again somewhere else. Fallback chains put that recovery in the table rather than in your head. In Defaults — the Router, renamed and moved to Advanced because it is consulted at exactly two moments, unnamed work and a failed run — every type of work can carry up to four ordered backups. You choose which failures count as a trigger, so a genuine launch error and a quota that ran out can be treated differently, and you choose whether the chain advances on its own or waits for your approval before spending someone else's quota. When a hop happens it is written down rather than hidden: an active team shows the line that explains its own output — Codex rate-limited → Claude — so a result that came from the backup never reads as if it came from your first choice. Naming an agent still wins over all of it; Defaults only speaks up for work you never assigned, and for a run that has already failed.
How It Works
Get started in 4 simple steps
Open Orchestration → Advanced → Defaults
The old Router, renamed. It is consulted at exactly two moments: work you never named an agent for, and a run that failed. On first launch its table is seeded from the AI CLIs you actually have installed.
Give a work type an ordered list of backups
Pick a work type — implement, review, research — and stack up to four fallback steps behind its primary agent, each with its own agent, model and terminal or headless substrate.
Choose which failures trigger the chain
Launch error, provider unavailable, rate limit, quota exhausted and no response are separate triggers, so a genuine crash and an exhausted quota can be handled differently.
Decide whether it advances on its own
Let the chain hop automatically, or hold it so a run waits for your approval before it starts spending another provider’s quota.
Read the hop in the running team
When a fallback fires, the active team shows the line that explains its own output — Codex rate-limited → Claude — so a result from the backup never reads as one from your first choice.
Without 1DevTool
The manual way vs. the 1DevTool way
The Hard Way
The 1DevTool Way
Key Capabilities
Everything included with Fallback Chains
Why It Matters
The productivity impact of having ai productivity built into your workspace
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