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Hacker News - Newest: "LLM"

GitHub - lechmazur/position_bias: A benchmark for testing whether LLM judges keep the same preference when two lightly edited versions of the same story are shown in opposite orders. Flex routing (EU and EFTA) Dark Factories: Retooling for LLM Velocity Ask HN: What would be the impact of a LLM output injection attack? GitHub - Oaklight/llm-rosetta: Production-ready LLM API translation layer for Python — bidirectional conversion between OpenAI, Anthropic & Google formats via hub-and-spoke IR. Optional API gateway. Streaming & non-streaming. Zero core deps. Contributions welcome! GitHub - browser-use/browser-harness: Self-healing browser harness that enables LLMs to complete any task. GitHub - moeen-mahmud/remen: Remen turns thoughts into something you can return to Analyzing 156 LLM Launch Posts on Hacker News ChatGPT vs Gemini vs Claude: The Best LLM Subscription You Should Buy GitHub - salaamalykum/quran-semantic-search: High-density RAG Semantic Search Engine & Quran Corpus (GEO/SEO Architecture) GitHub - NVIDIA/TensorRT-LLM: TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way. The State of LLM Bug Bounties in 2026 Operational Readiness Criteria for Tool-Using LLM Agents Meshcore: Architecture for a Decentralized P2P LLM Inference Network How an LLM becomes more coherent as we train it GitHub - seetrex-ai/laimark GitHub - Jossifresben/BibCrit: AI-assited biblical textual criticism GitHub - wastedcode/memex: File system based wiki, maintained by Claude 99helpers.com GitHub - cliver-project/AITrigram GitHub - unbody-io/adapt: A self-evolving memory layer for AI agents. GitHub - hb20007/awesome-gen-ai-fails: A list of incidents where reliance on generative AI and LLMs resulted in harm to companies, individuals, or society GitHub - nevenkordic/localmind: Run any local LLM with persistent memory and context. CLI agent over Ollama with SQLite-backed hybrid recall. No cloud. Ask HN: What are the machine requirements for a LLM like Llama-3.1-8B? Faster LLM Inference via Sequential Monte Carlo grpo explained: group relative policy optimization for llm finetuning - cgft Stop comparing price per million tokens: the hidden LLM API costs · TensorZero Andrej Karpathy's LLM Wiki Is a Bad Idea GitHub - GG-QandV/mnemostroma: Offline RAM-first cognitive leer/coprocessor for AI agents and robotics. Solves "Context Abandonment" with 20-80ms latency using a dual-thread biomimetic memory architecture (ONNX + SQLite WAL). mempalace/agent at agent · skorotkiewicz/mempalace
LLM Budget Guard — Hard Cutoffs Before Your Agents Burn You
johalmed · 2026-04-29 · via Hacker News - Newest: "LLM"

Validation — early access

Alerts won't stop your 3 AM token spiral

LLM Budget Guard enforces hard cutoffs at the provider — across OpenAI, Anthropic, and DeepSeek — before runaway agents burn $47K in 11 days or get your account terminated.

Founding-team pricing locked for life. No spam, ever.

$47K

lost in 11 days to one runaway agent loop

110

OpenAI accounts banned overnight at Belo

cheaper inference (DeepSeek v4) — bigger blast radius

The bills keep landing on Mondays.

Three real failure modes we keep hearing from teams shipping autonomous agents. None of them get caught by an alert thresholds dashboard.

$47,000 in 11 days

Four AI agents looping on a broken retry policy. By the time the Slack alert fired on Monday, the bill was already past five figures. Alerts notice — they don't stop.

110 accounts banned overnight

Belo (agritech) had 110 OpenAI accounts terminated for misuse spikes their dashboards never flagged in time. No appeals. No data export. Provider trust is now infrastructure risk.

DeepSeek v4 is 5× cheaper

Cheaper inference means more agents, longer chains, riskier loops. The blast radius of a runaway is bigger every quarter — even when the per-token price is lower.

Why this is different now

Until 2025, LLM cost was a finance problem. You overshot budget, you negotiated with your CFO, you moved on. Two things broke that calm:

  • Agents shipped to production.A loop is no longer a developer mistake on localhost — it's a Tuesday-night incident with a 6-figure invoice.
  • Providers got aggressive about bans. Belo, multiple agritech teams, and a long tail of small startups have lost production OpenAI access overnight, with no human in the loop. Spend monitoring is now access risk monitoring.
  • Cheaper models, bigger blast radius. DeepSeek v4 at 5× lower cost means engineers ship longer chains, more agents, more retries — and the surprise bill scales with all of them.

An alert at 80% of budget was already too late in 2024. In 2026, it's a liability.

What Budget Guard does

Enforcement, not observation. Built on top of the same read-only-key model LLMeter uses today.

Hard cutoffs, not just alerts

Set a daily/monthly token budget. We rotate down provider keys or pause the org at the API gateway when you hit it. Agents stop. The invoice stops.

Pre-ban anomaly detection

Detect the spend curves that precede provider terminations — repeated rate-limit errors, abnormal usage clusters, sudden 10× volume — and freeze before TOS triggers.

Multi-provider, one ceiling

OpenAI, Anthropic, DeepSeek, OpenRouter. One enforced budget across all of them. No more juggling three dashboards while a fourth provider drains.

Per-agent + per-key limits

Cap individual agents, services, or API keys. A misbehaving worker can't take down your whole budget — just its own slice.

Kill switch in one click

A panic button that disables every connected provider key in under 2 seconds. For when you see the spike and don't have time to log into four dashboards.

Alerts you can still trust

Slack, email, webhook — but as a status, not a safety net. Enforcement does the saving; alerts just keep you informed.

Alerts vs. Budget Guard

Side-by-side: what you have today vs. what enforcement looks like.

ScenarioAlerts (today)Budget Guard
Stops a 3 AM token spiral No Yes — provider-side cutoff
Prevents account ban from misuse spike No Yes — pauses before TOS triggers
Multi-provider single ceiling Per dashboard One budget across all
Per-agent budget enforcement Rare Built in
Setup time Hours of dashboarding Minutes (read-only key + budget)
Open source Sometimes Yes — AGPL, audit anything

FAQ

How is this different from a Slack alert at 80% of budget?

An alert tells you the fire started. Budget Guard puts it out. We integrate with each provider's API to revoke or rate-limit your keys when limits are hit — so a runaway agent at 3 AM stops automatically instead of escalating into a $47K invoice or a provider ban.

Why would I get banned by an LLM provider?

Providers terminate accounts for sudden usage spikes, suspicious traffic patterns, or repeated TOS-adjacent behavior — often with no human review. Belo (agritech) lost 110 OpenAI accounts in a single sweep. As more teams run autonomous agents on cheaper models like DeepSeek v4, the risk of triggering automated enforcement keeps growing.

How does the cutoff actually work?

You connect each provider with a key that has billing/admin scope. When you hit a budget threshold, Budget Guard rotates the active sub-keys, pauses the org, or applies provider-native rate limits — depending on what each platform exposes. The goal: stop spend at the API boundary, not at your application code.

What providers will be supported at launch?

OpenAI, Anthropic, DeepSeek, and OpenRouter — the same set LLMeter monitors today. We're prioritizing providers based on waitlist signal, so if you need others (Google, Mistral, AWS Bedrock), tell us when you sign up.

Is this open source?

Yes. Like the rest of LLMeter, Budget Guard will ship under AGPL-3.0. You can self-host, audit the cutoff logic, and verify exactly what runs against your provider keys.

When will this ship?

We're validating demand now. Waitlist signups directly determine launch timing — if we hit our threshold this month, the alpha ships in the next sprint. Early signups get founding-team pricing locked for life.

Stop the next $47K invoice before it starts.

Join the waitlist. We email you the day Budget Guard ships — and lock founding-team pricing for life.