chore(release): version packages

[github-actions]

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Releases

tokenometer@1.0.0

Major Changes

• #29 d911ef1 Thanks @faraa2m! - # Tokenometer v1.0.0 — production-ready release

  First stable release. Every advertised feature is shipped, end-to-end tested in CI, and live across npm + VS Code Marketplace + Open VSX + GitHub Marketplace + the public playground.

  What's in v1.0.0

  Providers (5) — Anthropic, OpenAI, Google, Mistral, Cohere. 63 known model ids.

  Tokenization paths

  • Offline (default): exact for OpenAI (o200k_base), cl100k_base proxy for Anthropic (approximate: true), chars/4 heuristic for Google (approximate: true), mistral-tokenizer-js for Mistral SentencePiece family + chars/4 for Tekken family (all approximate: true), chars/4 for Cohere (approximate: true).
  • Empirical (--empirical): real provider countTokens calls — Anthropic messages.countTokens (free), Google model.countTokens (free), tiktoken o200k_base for OpenAI, Cohere /v1/tokenize (free). Mistral has no public token-count API; throws a clear error.

  CLI flags

  • --model, --format (json/yaml/xml/markdown/text), --output table|json|sarif, --by-file, --image, --latency, --latency-trials, --config, --no-config, --empirical, --max-spend, --offline, auto provider detection from *_API_KEY env.

  Latency mode — the only LLM cost CLI that also reports TTFT + p50/p95/mean wall-clock + tokens/sec across all 5 providers.

  Vision tokens — formula-based estimation for Anthropic / OpenAI / Gemini images via --image <path>. SARIF output via --output sarif. Per-file attribution via --by-file. Declarative defaults via .tokenometer.yml.

  GitHub Action — sticky PR comment with prompt-cost diff + per-file Δ table + budget gate. New top-n-files input. Bundled JS Action; published to GitHub Marketplace.

  VS Code / Cursor extension — live token count + USD cost in status bar for the active editor file. Settings: model, format, warn-on-cost-above. Published to VS Code Marketplace + Open VSX.

  Claude Code skill — tokenometer-cost-check skill that teaches Claude Code agents to invoke the CLI for prompt cost analysis. One-line install to ~/.claude/skills/tokenometer/.

  Web playground — calculator, Cost Atlas (all 63 models, sortable + searchable), per-model SEO pages, prompt-diff preview, vision-token cost estimator, SARIF JSON viewer, config builder, init wizard. Live at https://tokenometer.vercel.app.

  Empirical findings — tiktoken cl100k_base under-counts Claude Opus by 62% median. Format choice (JSON / YAML / XML / Markdown / text) is rounding error vs model choice (Opus → Haiku is 7-12× cheaper).

  Release pipeline — Changesets-driven version PR + auto-CHANGELOG. One trigger ships: npm × 2 (with provenance) → GH Release → Action Marketplace re-publish → VS Code Marketplace → Open VSX → Vercel deploy → smoke-test job.

  Project health

  • CODE_OF_CONDUCT.md (Contributor Covenant 2.1)
  • CONTRIBUTING.md
  • SECURITY.md (GitHub Private Vulnerability Reporting; no email exposure)
  • .github/copilot-instructions.md (consumed by gh copilot review)
  • 227 unit tests across 20 files
  • Lint, typecheck, root + web builds, benchmarks all green

  Migration from 0.x

  No breaking API changes between 0.1.3 and 1.0.0. Bumping the major signals stability — the surface is now under semver guarantees.

Patch Changes

• Updated dependencies [d911ef1]:
  • @tokenometer/core@1.0.0

@tokenometer/core@1.0.0

Major Changes

• #29 d911ef1 Thanks @faraa2m! - # Tokenometer v1.0.0 — production-ready release

  First stable release. Every advertised feature is shipped, end-to-end tested in CI, and live across npm + VS Code Marketplace + Open VSX + GitHub Marketplace + the public playground.

  What's in v1.0.0

  Providers (5) — Anthropic, OpenAI, Google, Mistral, Cohere. 63 known model ids.

  Tokenization paths

  • Offline (default): exact for OpenAI (o200k_base), cl100k_base proxy for Anthropic (approximate: true), chars/4 heuristic for Google (approximate: true), mistral-tokenizer-js for Mistral SentencePiece family + chars/4 for Tekken family (all approximate: true), chars/4 for Cohere (approximate: true).
  • Empirical (--empirical): real provider countTokens calls — Anthropic messages.countTokens (free), Google model.countTokens (free), tiktoken o200k_base for OpenAI, Cohere /v1/tokenize (free). Mistral has no public token-count API; throws a clear error.

  CLI flags

  • --model, --format (json/yaml/xml/markdown/text), --output table|json|sarif, --by-file, --image, --latency, --latency-trials, --config, --no-config, --empirical, --max-spend, --offline, auto provider detection from *_API_KEY env.

  Latency mode — the only LLM cost CLI that also reports TTFT + p50/p95/mean wall-clock + tokens/sec across all 5 providers.

  Vision tokens — formula-based estimation for Anthropic / OpenAI / Gemini images via --image <path>. SARIF output via --output sarif. Per-file attribution via --by-file. Declarative defaults via .tokenometer.yml.

  GitHub Action — sticky PR comment with prompt-cost diff + per-file Δ table + budget gate. New top-n-files input. Bundled JS Action; published to GitHub Marketplace.

  VS Code / Cursor extension — live token count + USD cost in status bar for the active editor file. Settings: model, format, warn-on-cost-above. Published to VS Code Marketplace + Open VSX.

  Claude Code skill — tokenometer-cost-check skill that teaches Claude Code agents to invoke the CLI for prompt cost analysis. One-line install to ~/.claude/skills/tokenometer/.

  Web playground — calculator, Cost Atlas (all 63 models, sortable + searchable), per-model SEO pages, prompt-diff preview, vision-token cost estimator, SARIF JSON viewer, config builder, init wizard. Live at https://tokenometer.vercel.app.

  Empirical findings — tiktoken cl100k_base under-counts Claude Opus by 62% median. Format choice (JSON / YAML / XML / Markdown / text) is rounding error vs model choice (Opus → Haiku is 7-12× cheaper).

  Release pipeline — Changesets-driven version PR + auto-CHANGELOG. One trigger ships: npm × 2 (with provenance) → GH Release → Action Marketplace re-publish → VS Code Marketplace → Open VSX → Vercel deploy → smoke-test job.

  Project health

  • CODE_OF_CONDUCT.md (Contributor Covenant 2.1)
  • CONTRIBUTING.md
  • SECURITY.md (GitHub Private Vulnerability Reporting; no email exposure)
  • .github/copilot-instructions.md (consumed by gh copilot review)
  • 227 unit tests across 20 files
  • Lint, typecheck, root + web builds, benchmarks all green

  Migration from 0.x

  No breaking API changes between 0.1.3 and 1.0.0. Bumping the major signals stability — the surface is now under semver guarantees.

tokenometer-vscode@0.1.4

Patch Changes

• Updated dependencies [d911ef1]:
  • @tokenometer/core@1.0.0

[vercel]

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Project	Deployment	Actions	Updated (UTC)
tokenometer	Ready	Preview, Comment	May 10, 2026 6:40am