SYS.STATUS: PUBLIC_BETA

Stop overpaying for
AI Agent inference.

> Route every LLM call to the cheapest capable model.
> Cut agent costs by 40% with zero logic changes.

EXECUTE_OPTIMIZATION READ_MANUAL
AgentSpend real-time cost dashboard

SMART_ROUTING

Automatically routes simple tasks to cheaper models (Haiku, GPT-4o-mini) and hard tasks to smart models.

LOOP_GUARD

Detects runaway agent loops instantly. Escalates to smarter models or halts execution to save your wallet.

REALTIME_TELEMETRY

See exactly which step of your agent is costing the most money. Full visibility into every token.

Drop-in integration.

Works with your existing Python agents. Just wrap your LLM calls and we handle the rest.

  • Works with OpenAI, Anthropic, Gemini
  • Async & Sync support
  • Type-safe Pydantic SDK
  • Self-hosted option available
from token_aud.agent import AgentSpend

# Initialize the router
agent = AgentSpend.default()

# Route a task - we pick the model
result = agent.route_call(
    step="reason", 
    messages=[{"role": "user", "content": "..."}]
)

print(f"Saved: {result.cost_saved_usd}")
# Output: Saved: $0.024

Ready to stop burning money?

> Join the beta and start optimizing your agent fleet today.

INITIALIZE_ACCOUNT