Local, cache-aware LLM usage and cost telemetry for OpenClaw.
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Updated
Jul 27, 2026 - TypeScript
Local, cache-aware LLM usage and cost telemetry for OpenClaw.
Track OpenClaw LLM calls, show real costs, and cut agent spend with a local dashboard and no data leaving your machine
Offline LiteLLM pricing and model metadata diff CLI for AI gateway cost reviews
Code examples for Tokonomics — AI cost metering proxy for OpenAI, Anthropic, DeepSeek, Gemini & more. Track every LLM token, set budget alerts. https://tokonomics.ca
Ghost-text reply autocomplete retrofitted into an existing Laravel + Vue support desk: PII redacted before the prompt is built, prefix cache, per-requester daily token budget, rate limiting, cost report. The engine is swappable, so tests run offline with no API key.
Enterprise AgentOps platform — traces every agent run, attributes LLM cost, scores output quality async, and maps decisions to financial outcomes. FastAPI · LangGraph · React · SQLite
Seven patterns for adding AI features to existing products: sidecar vs in-process, streaming, caching tiers, eval-gated deploys, fallback UX, cost guardrails, vendor-lock hedging. Each says when to skip it. CI parses the doc and lints out fabricated numbers.
Claude Code skill that reports local token usage (no API key, no network) for Codex, Claude Code, Pi, Grok, opencode, and openclaw sessions
Menubar app that tracks AI agent quotas, API balances, cloud spend, and subscriptions.
ntkn is project-level token accounting for AI agent work.
Offline LLM cost attribution recipes for OpenAI-compatible gateway logs by user, feature, route, model, retry, and tool call.
AI copilot retrofitted into an existing multi-tenant Django SaaS without touching its schema or auth: semantic search, ask-your-data behind a SQL guardrail, summarization, each with a per-tenant cost cap, PII redaction and an eval gate in CI. Tests run offline, no API key.
Streamlit dashboard for clustering + RFM segmentation + agent telemetry analytics. Multi-LLM provider routing with cost tracking.
Offline-first OpenAI-compatible LLM cost tracking and budget guardrail CLI.
The core FortifyRoot LLMOps SDK for Python.
Self-hosted telemetry stack for AI coding tools (Claude Code, Codex): OTLP ingest, VictoriaMetrics/Loki storage, Grafana dashboard for token usage & cost
Monitor LLM token costs in real time with a terminal dashboard offering per-request tracking, budget control, and alerting without external services.
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