budget-enforcement

Self-hosted LLM gateway that routes requests across AI providers (OpenAI, Anthropic, Gemini, Mistral, Ollama) using intelligent multi-policy scoring — including an LLM-native routing policy. Drop-in compatible: just swap the base URL. No database required, built-in cost tracking, budget enforcement and multi-tenant isolation.

Make AI coding agents safe to scale autonomously: assign work, cap spend, enforce policy, verify output, roll back failures, learn from loops, and prove ROI across every repo.

Budget enforcement + observability plugin for Hermes Agent. Stops runaway costs before they happen.

Know what your AI agents cost. API gateway with budget enforcement, session tracking, and MCP tools.

Runtime containment kernel for LLM agents. Enforces budget, step, retry, and circuit-breaker limits before the model call.

Know what your agents cost. Real-time cost tracking, budget enforcement, and financial observability for AI agents. Zero code changes.

Your AI agent just burned $200. AgentGuard stops it at $5. Runtime cost guardrails for AI agents — budget enforcement, loop detection, kill switch. Zero dependencies, MIT licensed.

Pre-flight spend authorization for AI agents. Reserve-confirm lifecycle, concurrency-safe, append-only audit ledger.

UnitCause is a real-time cost governance platform for AI agents. It provides budget enforcement, loop detection, cost analytics, and policy management via a web dashboard, REST API, and Python SDK. Set budgets, stop runaway agents, and monitor spending with ease.

Streaming metering engine for LLM token billing | Real-time budget enforcement | Built with Flink

A reliability proxy for LLM and agent traffic: guardrails that block unsafe actions before they execute, auto-pause for runaway loops, upstream-failure visibility, and per-agent budget enforcement across providers. Self-hosted, MIT licensed.

CLI bridge for delegating heavy reasoning from Claude Code to Gemini API. Auto-routing, deep thinking tiers, SHA256 caching, daily budget enforcement. Python.

Open-source LLM API cost workbench with a public source-linked Pricing Feed v1, browser-local bill audit, workflow ledger, and fixed-price implementation scopes.

Documentation source for nullrun.io — concepts, how-to guides, and API reference for the NullRun agent enforcement platform.

Flight recorder for tool-calling LLM agents. Every step captured in an append-only, hash-chained JSONL trace: tamper-evident, deterministically replayable (50/50 byte-identical), diffable to the first divergent step, budget-enforced (steps, tokens, cost, wall clock). Offline, no API keys, 94% coverage.

Hard money-budget enforcement for Slurm jobs — reserves projected cost at submission, rejects unfundable jobs, settles actual runtime, refunds the rest. Hierarchical accounts, banked burst, multi-source funding.

Circuit breaker daemon for AI agent loops

Example showing how to enforce LLM budgets on LangGraph agents using the shekel Python library

Pipeline gateway SDK for multi-agent systems — budget enforcement, loop detection, dedup cache (drop-in proxy)

A fuse for LLM spend. Four conventional enforcement patterns fail open at 95-100% over ceiling; this holds all four.