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Practical guide · buzz agent token usage

Buzz Agent Costs and Token Usage

Token cost grows when agents wake without work, use frontier models for routine steps, carry oversized context, retry blindly, or run too many workers.

Why this happens

Buzz can bound runtime parallelism, but actual model billing comes from the provider. A local status estimate must never be presented as authoritative spend.

What correct behavior looks like

Each job class has an allowed model tier, maximum turns, escalation rule, and budget behavior. Unknown provider usage removes paid routes instead of inventing a dollar amount.

What to do

  1. 1Classify jobs as local routine, balanced, or frontier-required.
  2. 2Set maximum turns, time, concurrency, and retry count.
  3. 3Use the smallest model that meets the acceptance test.
  4. 4Ingest authoritative provider usage records.
  5. 5Warn at thresholds and pause paid routes when usage is unknown or exceeded.

How to verify it worked

  • Every escalation records its reason and selected model.
  • Provider records reconcile with job receipts.
  • No-work heartbeat cycles spend no paid turns.
  • Budget exceeded behavior actually prevents the next paid dispatch.

Common failure states

  • Anecdotal token multipliers are repeated as universal facts.
  • Local estimates are labeled as provider spend.
  • Parallel pools initialize far more workers than needed.
  • Retries continue after the same blocker repeats.

What to do next

Measure one week of real jobs before changing model tiers or budgets.

Related guides

FAQ

Does Buzz determine model pricing?

No. Model providers determine billed usage; Buzz can constrain routing and runtime behavior.

Are dramatic token-cost anecdotes proof?

No. Treat them as research leads until the exact workload and provider data are verified.

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