Urgent LLM bill containment

AI Cost Spike Emergency Sprint

A USD $1,000 fixed-scope emergency sprint for teams whose AI agent, RAG workflow, coding-agent runner, support bot, or model API bill is already spiking. It is built for runaway LLM bills where the team needs a practical containment plan, not another generic audit. I review one high-cost path, identify the fastest spend drivers, and return a prioritized plan for stopping avoidable recurring cost without breaking the product.

Request emergency sprint Open TokenMeter audit intake View $299 focused review Review terms

EmergencyUSD $1,000 AI Cost Spike Emergency Sprint

Target24h containment plan after accepted scope/payment

EvidenceSanitized usage summary, traces, screenshots, or exports

Start RulePayment only after written scope acceptance

When this is the right package

Use this when the bill is already moving faster than the team

The $299 focused review is for one bounded leak. This emergency sprint is for a live or pre-launch cost spike where multiple drivers may be interacting and the useful output is a same-day containment sequence.

Runaway agents: repeated tool calls, browser loops, code/test reruns, plan-reflect cycles, or retry storms.

RAG over-spend: over-retrieval, giant chunks, duplicated context, rerank fanout, or repeated expensive summarization.

Model drift: frontier models used for cheap-path work, weak fallback rules, or missing escalation thresholds.

Cache miss: unstable prompt prefixes, prompt churn, no reusable summaries, or cached-input rates left unused.

Launch risk: pricing, free-tier, or customer usage assumptions that cannot survive realistic agent behavior.

Emergency deliverables

What comes back from the sprint

The output is written for a founder or engineering lead who needs to decide what to change first, what to cap, and what to watch before the next bill cycle.

Open emergency intake

Spend-driver map: top model calls, token-heavy stages, retrieval fanout, tool loops, retries, cache gaps, and per-feature attribution gaps.

Containment plan: kill switches, loop caps, retry budgets, retrieval limits, context trimming, model-routing changes, and cache candidates.

Risk tradeoffs: what can be cut immediately, what may reduce quality, and which changes need measurement before rollout.

Instrumentation checklist: request IDs, cost tags, tool span IDs, redacted traces, daily budget alerts, and customer-level guardrails.

Follow-on scope: if the spike exposes security, auth, SSRF, or broader launch issues, those are scoped separately after the emergency report.

Safe evidence

Send summaries, not secrets

The sprint can start from public docs, a repo URL, TokenMeter estimates, sanitized usage totals, redacted traces, provider exports, screenshots with private account details removed, or a short written incident summary.

Do not sendAPI keys, private prompts, customer data, proprietary logs, or raw production traces in public issues

SendModel mix, token totals, request counts, retry counts, workflow shape, and sanitized cost screenshots

UsefulTokenMeter snapshot, billing period, top suspected workflow, launch deadline, and current guardrails

OutputWritten containment report with ranked fixes and payment receipt path after confirmation

Payment packet

Copy after scope acceptance

Payment is requested only after the written emergency scope is accepted. Use the packet below only after the package, evidence boundary, delivery format, and payment path are agreed in writing.

Submit payment proof Full sprint quote

Copyable packet

I accept the AI Cost Spike Emergency Sprint package.

Package: USD $1,000 AI Cost Spike Emergency Sprint
Scope: [one runaway AI agent, RAG workflow, coding-agent loop, support bot, or model API bill spike]
Delivery: [public issue comment or private Markdown report]
Payment timing: after written scope acceptance only.

Ethereum address (ETH or ERC-20 USDC/USDT/DAI):
0xa7F2235a77FBc4eCcbF60923BCDF6Df74eC710FF

Solana address (SOL or SPL USDC):
5CjUaMAsbXx2Hjczwoqi4MChTU1KjfUzbdiwPqZeceVM

Payment proof form:
https://github.com/jackjin1997/agent-audit-sprint/issues/new?template=payment-confirmation.yml