tokenfuse-sdk 0.3.0

Python SDK for TokenFuse — runtime cost control for AI agents (import as `tokenfuse`).

tokenfuse (Python SDK)

Thin, dependency-free helpers to route an agent's LLM calls through the TokenFuse gateway and turn its 402 blocks into typed exceptions.

TokenFuse is a drop-in proxy — you don't rewrite your agent, you point your provider client at the gateway and attach a few headers.

Install

pip install tokenfuse   # (planned; for now: pip install -e sdk/python)

Use

import anthropic, tokenfuse

client = anthropic.Anthropic(
    base_url=tokenfuse.gateway_url(),                    # http://127.0.0.1:4100
    default_headers=tokenfuse.run_headers("run-42", budget_usd=5.0, task_type="code-review"),
)

try:
    msg = client.messages.create(model="claude-sonnet", max_tokens=1024, messages=[...])
except tokenfuse.BudgetExceeded as e:
    print(f"run {e.run_id}: spent ${e.spent_usd} of ${e.budget_usd}")
except tokenfuse.LoopDetected as e:
    print(f"runaway loop on {e.run_id}: {e.reason}")

For raw HTTP clients (requests / httpx), call tokenfuse.check_response(resp) after the request, or tokenfuse.raise_for_fuse(status_code, body).

Exceptions

All inherit tokenfuse.FuseError (fields: run_id, budget_usd, spent_usd, policy_id, reason):

• BudgetExceeded — the run's budget would be exceeded
• LoopDetected — a runaway loop was detected
• PolicyViolation — a policy limit was hit
• Killed — an operator killed the run