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agentbelt-budget

A lightweight, in-process circuit breaker for LLM token and cost spend. Part of the agentbelt suite.

pip install agentbelt-budget

Quickstart

from agentbelt_budget import Budget, CircuitBreaker, BudgetExceeded

breaker = CircuitBreaker(Budget(max_tokens=100_000, max_cost_usd=5.0, window="24h"))

try:
    breaker.check("session-123")
    response = call_llm(prompt)
    breaker.record_response("session-123", response, model="gpt-4o")
except BudgetExceeded as e:
    print(f"blocked: {e}")

What did this actually catch?

print(breaker.impact_report())
# 5 call(s) blocked across 1 session(s) before exceeding budget (1 distinct trip event(s))

Countable events (calls blocked, distinct sessions, trip count) — not a dollar estimate, since there's no way to know what a blocked call would have actually cost. .metrics on the returned ImpactReport gives the same numbers as a plain dict if you want to log or export them.

See the suite README for the full concept and how this fits with agentbelt-loop and agentbelt-sampler.

License

MIT

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