Token Budget Orchestrator SDK enforces LLM cost limits before each API call

A developer working with multi-agent LLM systems built Token Budget Orchestrator, a Python and Node SDK that intercepts LLM calls before they execute to check available budget and apply routing policies. Unlike proxy-based tools such as LiteLLM, the SDK runs inside the user's own process, ensuring prompts never pass through a third-party service — a priority for teams handling sensitive data. The tool estimates token usage ahead of each call, reserves that allocation atomically to prevent race conditions across parallel agents, and can reroute requests to cheaper models when budgets run low. Policy-based routing allows teams to assign different models to different task types without modifying agent code. The SDK addresses a gap in existing observability tools like Langfuse and Helicone, which report costs only after spending has already occurred.