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Infrastructure-Level Reliability

The Reliability Layerfor Your Agent Fleet

Agents fail. APIs time out. Models hallucinate. We handle the retries, fallbacks, and auto-escalation so your workflows never get stuck.

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Don't Build Your Own Retry Logic

DIY Reliability

  • • Manual try/catch blocks everywhere
  • • Hardcoded exponential backoff
  • • No visibility into failure rates
  • • Agents die on 429 Rate Limits

Agentlify Reliability

  • • Zero-config retries & fallbacks
  • • Intelligent provider switching
  • • Auto-escalation on stuck steps
  • • Full error observability

We handle the edge cases so you don't have to.

The Reliability Trap

Why autonomous agents fail in production

Looping Forever
Weak models often get stuck in repetitive loops, unable to break out of a logic error or syntax mistake.
Context Loss
As context windows fill up, cheaper models lose coherence. Upgrading to a larger model is often the only fix.
Silent Failures
Models confidently outputting wrong code or hallucinations, derailing the entire agent workflow downstream.

How Auto-Escalation Works

We watch your agent's back so you don't have to

1. Fast Model Default

Routine steps—like formatting data, simple replies, or basic logic—run on ultra-fast, cheap models to keep latency low.

2. Struggle Detection

If the model outputs an error, produces low-confidence code, or gets stuck in a loop, Agentlify flags the step as "At Risk".

3. Seamless Escalation

We automatically retry the specific prompt with a reasoning model (like o1 or Claude 3.5 Sonnet) to solve the difficult problem.

4. Workflow Resumed

The correct response is returned to your agent loop, which continues running on the fast model. You only pay for intelligence when you need it.

Why Agents Need Auto-Escalation

Reliability is the bottleneck for autonomous agents

Unblock Stuck Agents
Prevent agents from spiraling into error loops by detecting failures early and fixing them with superior intelligence
Premium Success Rate
Achieve the task completion rates of SOTA models while maintaining the cost profile of efficient models
Autonomous Optimization
No manual rules or complex logic—Agentlify learns which steps need escalation based on success/failure patterns
Predictable Costs
Scale your agent fleet without exponential cost growth. Pay premium prices only for the toughest 5% of steps

Critical Moments for Escalation

When your agent needs a "Phone a Friend" lifeline

Complex Planning
Initial project breakdown and strategy often requires SOTA reasoning, while execution steps can be handled by faster models
Code Debugging
When a coding agent hits a syntax error loop, we escalate to a stronger model to find the bug that the smaller model keeps missing
Data Synthesis
Summarizing large, conflicting datasets often leads to hallucinations in small models. Escalation ensures accuracy for final reports

Build Unstoppable Agents

Enable auto-escalation in your router configuration and watch your agent reliability soar. Setup takes just a few clicks.

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No commitments • Enable with one toggle • 100% Reliability