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Run it reliably

Limit simultaneous work in connected apps

Bound how many turns one agent can execute at once and make overload visible to the caller.

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Set per-agent concurrency caps.

What this changes for your team.

Set how much work an agent can run at once. When it reaches the limit, new requests are rejected with an explanation. This helps control sudden demand on connected apps.

How it works in practice.

  1. 01

    Choose the maximum simultaneous turns appropriate for the agent and its dependencies.

  2. 02

    Publish the setting to apply the limit whenever new work starts.

  3. 03

    Return a capacity refusal when every slot is occupied, leaving the caller to retry deliberately.

What you can plan around.

What to expect, including limits that matter to your team.

The cap is evaluated in shared execution coordination, not independently by each browser.

Work beyond the cap is refused rather than queued silently.

Session ordering remains stricter than the agent cap when several messages belong to one session.

Complete the operating path

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Run it reliablySee what drives agent spend

Break estimated agent spend down to the jobs and dependencies that produced it.

Run it reliablyStop work without corrupting its record

Withdraw unwanted work while preserving the truth about effects already in flight.

Operate and improveOperate from one monitor room

Move from an individual run to fleet health and recurring failure patterns without changing tools.

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See how Yekar.AI fits the way you work.

Start with a job your team already owns, plus the tools and decisions around it.

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