#cost-optimization

Multi-Agent Code Review Cost Benchmark 2026: Librarian vs Prompt Cache

See where LLM money goes, why, and how to cut waste. Local-first FinOps + spend intelligence for Claude Code & the Anthropic API. Pure stdlib, zero deps.

Precision for your AI spend — see exactly where your Claude Code money goes. Local dashboard + optimization skill (caliper.run)

One config for every AI coding agent — cross-tool config + a cognitive substrate (memory, blast-radius, guardrails) for Claude Code, Codex, Cursor, Gemini, Aider, and more.

Snowflake Cortex demo: 11-lever cost+quality optimization framework for legal-PDF document AI workloads

Flagship free FastAPI starter for LLM routing/cost visibility; $29 Gumroad kit adds deployment, hardening, routing, and verification guides.

A Claude Code plugin that shows exactly where your AI coding session wasted tokens — and how to fix it. Flags waste, never quality. Runs locally.

PECS: 基于 LangGraph 的四角色多智能体任务求解框架（Planner/Executor/Critic/Synthesizer）。WebShop 真实环境 +25pp (25% vs 0%)；GAIA 官方 53 题 26.4% vs ReAct 24.5%（McNemar 不显著）。含 AST 沙箱、50000 token 硬预算、FastAPI 限流/混沌/CI/Prometheus。

Semantic caching layer for LLM & agent tool calls — matches near-duplicate prompts by embedding similarity to cut redundant API spend and latency.

MCP server for the GONKA network: run cheap LLM inference through the server (free trial or your own key), get multi-model second opinions, and compare live prices — for any AI agent.

A controller that learns how a tool-using agent should spend compute at each step (WIDER, DEEPER, DECOMPOSE, STOP, or ESCALATE to a stronger model) and improves its own policy from logged traces. Judged on cost per solved task with paired statistics; ships trained policies and an offline embed API (pip install, no key needed).

Audits real Claude Code usage for effort/model waste — reuses ccusage for raw data, adds the judgment layer it can't provide.

Confidence-gated model routing for coding agents — run work at the cheapest model that can pass verification. SKILL.md, MIT.