diff --git a/.changeset/wave-3-claude-code-skill.md b/.changeset/wave-3-claude-code-skill.md new file mode 100644 index 0000000..75f48a6 --- /dev/null +++ b/.changeset/wave-3-claude-code-skill.md @@ -0,0 +1,9 @@ +--- +"tokenometer": minor +"@tokenometer/core": minor +--- + +Add `@tokenometer/claude-code-skill` — a Claude Code skill that teaches +Claude Code agents to invoke `npx tokenometer` for prompt-cost analysis. +Install via `~/.claude/skills/tokenometer/SKILL.md`. Submission to +community skill registry tracked separately. diff --git a/.changeset/wave-3-latency.md b/.changeset/wave-3-latency.md new file mode 100644 index 0000000..45b5aab --- /dev/null +++ b/.changeset/wave-3-latency.md @@ -0,0 +1,11 @@ +--- +"tokenometer": minor +"@tokenometer/core": minor +--- + +Add `--latency` flag — measures real generation latency (TTFT + total ms + +tokens/sec, p50/p95/mean over n trials) alongside token cost. Implies +`--empirical`. Default trials = 3, configurable via `--latency-trials ` +(1-10). Bumps default `--max-spend` to $0.25 to cover the n × 200-token +generations. Supported providers: Anthropic, OpenAI, Google, Cohere, +Mistral (latter two are metered). diff --git a/.changeset/wave-3-mistral-cohere.md b/.changeset/wave-3-mistral-cohere.md new file mode 100644 index 0000000..2e3cbf1 --- /dev/null +++ b/.changeset/wave-3-mistral-cohere.md @@ -0,0 +1,19 @@ +--- +"tokenometer": minor +"@tokenometer/core": minor +--- + +Add Mistral and Cohere providers. + +- Mistral: `mistral-tokenizer-js` for SentencePiece family (Mistral 7B, + Mixtral, Mistral Large 2407, Codestral); `chars/4` heuristic for Tekken + models (NeMo, Pixtral, Mistral Small 2409+, Devstral, Mistral Medium + 2505+, Magistral, Ministral). All marked `approximate: true`. Empirical + mode unsupported (Mistral has no public token-count API). +- Cohere: offline heuristic `chars/4` (Cohere SDK is REST-only; no offline + tokenizer ships in JS). Empirical via `POST /v1/tokenize` when + `COHERE_API_KEY` is set. + +Pricing for Mistral auto-sourced from `@tokenlens/models/mistral`. Cohere +pricing comes from `LOCAL_OVERRIDES` (`command-r`, `command-r-plus`) +because `@tokenlens/models` does not yet ship a Cohere catalog at v1.3.0. diff --git a/.changeset/wave-3-playground-showcase.md b/.changeset/wave-3-playground-showcase.md new file mode 100644 index 0000000..9023fe2 --- /dev/null +++ b/.changeset/wave-3-playground-showcase.md @@ -0,0 +1,11 @@ +--- +"tokenometer": minor +"@tokenometer/core": minor +--- + +Playground (`https://tokenometer.vercel.app`) gains showcase pages for +every Wave 2 feature: `/diff`, `/by-file`, `/sarif`, `/vision`, +`/config-builder`, `/init`, `/models` (Cost Atlas + per-model SEO pages), +plus placeholder pages for the VS Code extension and Claude Code skill. + + \ No newline at end of file diff --git a/.changeset/wave-3-vscode-extension.md b/.changeset/wave-3-vscode-extension.md new file mode 100644 index 0000000..76f09d9 --- /dev/null +++ b/.changeset/wave-3-vscode-extension.md @@ -0,0 +1,9 @@ +--- +"tokenometer": minor +"@tokenometer/core": minor +--- + +Add VS Code / Cursor extension (`@tokenometer/vscode`). Status bar shows +live token count + USD cost for the active editor file across Claude, +GPT-4o, and Gemini. Reuses `@tokenometer/core`. Marketplace publish +follows in Phase I. diff --git a/README.md b/README.md index 5756a3f..210829c 100644 --- a/README.md +++ b/README.md @@ -58,14 +58,15 @@ The `Approx` column shows `✓` when the count is a proxy (Anthropic / Google of ## Why this exists -`tiktoken` and `@anthropic-ai/tokenizer` give you a token count for one provider. They don't tell you: +**Cost AND latency in one CLI — the only tool that does both.** `tiktoken` and `@anthropic-ai/tokenizer` give you a token count for one provider. They don't tell you: - What the same prompt costs across **multiple providers and models** +- How **fast** each provider actually responds (TTFT + tokens/sec) — a real generation, not a synthetic benchmark - Whether **format conversion** (YAML ↔ JSON ↔ XML ↔ MD) actually moves the needle - The **empirical** cost — what your provider actually charged on a real call, after prompt caching - Whether a PR introduced a **prompt-cost regression** -Tokenometer is dev-time, multi-provider, multi-format, optionally empirical, and CI-native. +Tokenometer is dev-time, multi-provider, multi-format, optionally empirical, latency-aware, and CI-native. ## Install @@ -135,11 +136,13 @@ The CLI also supports `--output json|sarif` for machine-readable output, `--by-f Tokenometer picks a tokenizer per provider and flags the count as approximate (`approximate: true` in the API result) when the offline path is a proxy: -| Provider | Offline tokenizer | Exactness | Empirical (`--empirical`) | -|-----------|------------------------------|-------------|----------------------------------| -| OpenAI | `gpt-tokenizer` `o200k_base` | exact | same `o200k_base` (matches OpenAI production count) | -| Anthropic | `gpt-tokenizer` `cl100k_base`| approximate | `messages.countTokens` (exact, free) | -| Google | `chars / 4` heuristic | approximate | `model.countTokens` (exact, free) | +| Provider | Offline tokenizer | Exactness | Empirical (`--empirical`) | +|-----------|------------------------------------------------|-------------|----------------------------------| +| OpenAI | `gpt-tokenizer` `o200k_base` | exact | same `o200k_base` (matches OpenAI production count) | +| Anthropic | `gpt-tokenizer` `cl100k_base` | approximate | `messages.countTokens` (exact, free) | +| Google | `chars / 4` heuristic | approximate | `model.countTokens` (exact, free) | +| Mistral | `mistral-tokenizer-js` (V1/V2/V3) · `chars/4` for Tekken | approximate | unsupported (no public token-count endpoint) | +| Cohere | `chars / 4` heuristic | approximate | `POST /v1/tokenize` (exact, free, requires `COHERE_API_KEY`) | Cost = `tokens / 1000 × per-1k input rate`. Pricing and context windows are sourced from the [`tokenlens`](https://www.npmjs.com/package/tokenlens) registry, with a small set of local overrides for bleeding-edge models the registry hasn't picked up yet — see [`packages/core/src/rates.ts`](packages/core/src/rates.ts) (`RATES_VERSION`). @@ -153,7 +156,7 @@ Cost = `tokens / 1000 × per-1k input rate`. Pricing and context windows are sou ## Status -Early. v0.0.x — see [milestones](https://github.com/faraa2m/tokenometer/milestones). Roadmap to v1.0.0 in progress: VS Code extension, Claude Code skill, vision-token cost, Mistral + Cohere providers. +Early. v0.0.x — see [milestones](https://github.com/faraa2m/tokenometer/milestones). Roadmap to v1.0.0 in progress: VS Code extension, Claude Code skill, vision-token cost. ## License diff --git a/benchmarks/results.json b/benchmarks/results.json index 5382636..135b93e 100644 --- a/benchmarks/results.json +++ b/benchmarks/results.json @@ -1,5 +1,5 @@ { - "generatedAt": "2026-05-09T03:22:44.977Z", + "generatedAt": "2026-05-10T04:07:57.509Z", "formats": [ "json", "markdown", @@ -21,7 +21,13 @@ "claude-opus-4-7", "claude-sonnet-4-20250514", "claude-sonnet-4-6", + "codestral-latest", "codex-mini-latest", + "command-r", + "command-r-plus", + "devstral-medium-2507", + "devstral-small-2505", + "devstral-small-2507", "gemini-1.5-flash", "gemini-1.5-flash-8b", "gemini-1.5-pro", @@ -41,6 +47,16 @@ "gpt-5-chat-latest", "gpt-5-mini", "gpt-5-nano", + "magistral-medium-latest", + "magistral-small", + "ministral-3b-latest", + "ministral-8b-latest", + "mistral-large-latest", + "mistral-medium-2505", + "mistral-medium-2508", + "mistral-medium-latest", + "mistral-nemo", + "mistral-small-latest", "o1", "o1-mini", "o1-pro", @@ -49,7 +65,12 @@ "o3-mini", "o3-pro", "o4-mini", - "o4-mini-deep-research" + "o4-mini-deep-research", + "open-mistral-7b", + "open-mixtral-8x22b", + "open-mixtral-8x7b", + "pixtral-12b", + "pixtral-large-latest" ], "prompts": { "01-tiny-json-config.json": { @@ -469,6 +490,38 @@ "tokenizer": "cl100k_base" } }, + "codestral-latest": { + "json": { + "approximate": true, + "inputCost": 0.0000285, + "inputTokens": 95, + "tokenizer": "mistral_v1_v3" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000315, + "inputTokens": 105, + "tokenizer": "mistral_v1_v3" + }, + "text": { + "approximate": true, + "inputCost": 0.0000336, + "inputTokens": 112, + "tokenizer": "mistral_v1_v3" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000351, + "inputTokens": 117, + "tokenizer": "mistral_v1_v3" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000291, + "inputTokens": 97, + "tokenizer": "mistral_v1_v3" + } + }, "codex-mini-latest": { "json": { "approximate": false, @@ -501,6 +554,166 @@ "tokenizer": "o200k_base" } }, + "command-r": { + "json": { + "approximate": true, + "inputCost": 0.0000123, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.00001245, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.00001365, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000153, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.00001185, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "command-r-plus": { + "json": { + "approximate": true, + "inputCost": 0.000205, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0002075, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0002275, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.000255, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0001975, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "devstral-medium-2507": { + "json": { + "approximate": true, + "inputCost": 0.0000328, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000332, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000364, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000408, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000316, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "devstral-small-2505": { + "json": { + "approximate": true, + "inputCost": 0.0000082, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000083, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000091, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000102, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000079, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "devstral-small-2507": { + "json": { + "approximate": true, + "inputCost": 0.0000082, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000083, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000091, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000102, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000079, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, "gemini-1.5-flash": { "json": { "approximate": true, @@ -1109,167 +1322,359 @@ "tokenizer": "o200k_base" } }, - "o1": { + "magistral-medium-latest": { "json": { - "approximate": false, - "inputCost": 0.001155, - "inputTokens": 77, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000164, + "inputTokens": 82, + "tokenizer": "heuristic" }, "markdown": { - "approximate": false, - "inputCost": 0.001365, - "inputTokens": 91, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000166, + "inputTokens": 83, + "tokenizer": "heuristic" }, "text": { - "approximate": false, - "inputCost": 0.001425, - "inputTokens": 95, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000182, + "inputTokens": 91, + "tokenizer": "heuristic" }, "xml": { - "approximate": false, - "inputCost": 0.0015, - "inputTokens": 100, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000204, + "inputTokens": 102, + "tokenizer": "heuristic" }, "yaml": { - "approximate": false, - "inputCost": 0.001245, - "inputTokens": 83, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000158, + "inputTokens": 79, + "tokenizer": "heuristic" } }, - "o1-mini": { + "magistral-small": { "json": { - "approximate": false, - "inputCost": 0.0000847, - "inputTokens": 77, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000041, + "inputTokens": 82, + "tokenizer": "heuristic" }, "markdown": { - "approximate": false, - "inputCost": 0.0001001, - "inputTokens": 91, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000415, + "inputTokens": 83, + "tokenizer": "heuristic" }, "text": { - "approximate": false, - "inputCost": 0.0001045, - "inputTokens": 95, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000455, + "inputTokens": 91, + "tokenizer": "heuristic" }, "xml": { - "approximate": false, - "inputCost": 0.00011, - "inputTokens": 100, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000051, + "inputTokens": 102, + "tokenizer": "heuristic" }, "yaml": { - "approximate": false, - "inputCost": 0.0000913, - "inputTokens": 83, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000395, + "inputTokens": 79, + "tokenizer": "heuristic" } }, - "o1-pro": { + "ministral-3b-latest": { "json": { - "approximate": false, - "inputCost": 0.01155, - "inputTokens": 77, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.00000328, + "inputTokens": 82, + "tokenizer": "heuristic" }, "markdown": { - "approximate": false, - "inputCost": 0.01365, - "inputTokens": 91, - "tokenizer": "o200k_base" - }, - "text": { - "approximate": false, - "inputCost": 0.01425, + "approximate": true, + "inputCost": 0.00000332, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.00000364, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.00000408, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.00000316, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "ministral-8b-latest": { + "json": { + "approximate": true, + "inputCost": 0.0000082, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000083, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000091, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000102, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000079, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "mistral-large-latest": { + "json": { + "approximate": true, + "inputCost": 0.00019, "inputTokens": 95, - "tokenizer": "o200k_base" + "tokenizer": "mistral_v1_v3" + }, + "markdown": { + "approximate": true, + "inputCost": 0.00021, + "inputTokens": 105, + "tokenizer": "mistral_v1_v3" + }, + "text": { + "approximate": true, + "inputCost": 0.000224, + "inputTokens": 112, + "tokenizer": "mistral_v1_v3" }, "xml": { - "approximate": false, - "inputCost": 0.015, - "inputTokens": 100, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000234, + "inputTokens": 117, + "tokenizer": "mistral_v1_v3" }, "yaml": { - "approximate": false, - "inputCost": 0.01245, + "approximate": true, + "inputCost": 0.000194, + "inputTokens": 97, + "tokenizer": "mistral_v1_v3" + } + }, + "mistral-medium-2505": { + "json": { + "approximate": true, + "inputCost": 0.0000328, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000332, "inputTokens": 83, - "tokenizer": "o200k_base" + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000364, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000408, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000316, + "inputTokens": 79, + "tokenizer": "heuristic" } }, - "o3": { + "mistral-medium-2508": { "json": { - "approximate": false, - "inputCost": 0.000154, - "inputTokens": 77, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000328, + "inputTokens": 82, + "tokenizer": "heuristic" }, "markdown": { - "approximate": false, - "inputCost": 0.000182, + "approximate": true, + "inputCost": 0.0000332, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000364, "inputTokens": 91, - "tokenizer": "o200k_base" + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000408, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000316, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "mistral-medium-latest": { + "json": { + "approximate": true, + "inputCost": 0.0000328, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000332, + "inputTokens": 83, + "tokenizer": "heuristic" }, "text": { - "approximate": false, - "inputCost": 0.00019, - "inputTokens": 95, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000364, + "inputTokens": 91, + "tokenizer": "heuristic" }, "xml": { - "approximate": false, - "inputCost": 0.0002, - "inputTokens": 100, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000408, + "inputTokens": 102, + "tokenizer": "heuristic" }, "yaml": { - "approximate": false, - "inputCost": 0.000166, + "approximate": true, + "inputCost": 0.0000316, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "mistral-nemo": { + "json": { + "approximate": true, + "inputCost": 0.0000123, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.00001245, "inputTokens": 83, - "tokenizer": "o200k_base" + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.00001365, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000153, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.00001185, + "inputTokens": 79, + "tokenizer": "heuristic" } }, - "o3-deep-research": { + "mistral-small-latest": { + "json": { + "approximate": true, + "inputCost": 0.0000082, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000083, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000091, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000102, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000079, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "o1": { "json": { "approximate": false, - "inputCost": 0.00077, + "inputCost": 0.001155, "inputTokens": 77, "tokenizer": "o200k_base" }, "markdown": { "approximate": false, - "inputCost": 0.00091, + "inputCost": 0.001365, "inputTokens": 91, "tokenizer": "o200k_base" }, "text": { "approximate": false, - "inputCost": 0.00095, + "inputCost": 0.001425, "inputTokens": 95, "tokenizer": "o200k_base" }, "xml": { "approximate": false, - "inputCost": 0.001, + "inputCost": 0.0015, "inputTokens": 100, "tokenizer": "o200k_base" }, "yaml": { "approximate": false, - "inputCost": 0.00083, + "inputCost": 0.001245, "inputTokens": 83, "tokenizer": "o200k_base" } }, - "o3-mini": { + "o1-mini": { "json": { "approximate": false, "inputCost": 0.0000847, @@ -1301,54 +1706,182 @@ "tokenizer": "o200k_base" } }, - "o3-pro": { + "o1-pro": { "json": { "approximate": false, - "inputCost": 0.00154, + "inputCost": 0.01155, "inputTokens": 77, "tokenizer": "o200k_base" }, "markdown": { "approximate": false, - "inputCost": 0.00182, + "inputCost": 0.01365, "inputTokens": 91, "tokenizer": "o200k_base" }, "text": { "approximate": false, - "inputCost": 0.0019, + "inputCost": 0.01425, "inputTokens": 95, "tokenizer": "o200k_base" }, "xml": { "approximate": false, - "inputCost": 0.002, + "inputCost": 0.015, "inputTokens": 100, "tokenizer": "o200k_base" }, "yaml": { "approximate": false, - "inputCost": 0.00166, + "inputCost": 0.01245, "inputTokens": 83, "tokenizer": "o200k_base" } }, - "o4-mini": { + "o3": { "json": { "approximate": false, - "inputCost": 0.0000847, + "inputCost": 0.000154, "inputTokens": 77, "tokenizer": "o200k_base" }, "markdown": { "approximate": false, - "inputCost": 0.0001001, + "inputCost": 0.000182, "inputTokens": 91, "tokenizer": "o200k_base" }, "text": { "approximate": false, - "inputCost": 0.0001045, + "inputCost": 0.00019, + "inputTokens": 95, + "tokenizer": "o200k_base" + }, + "xml": { + "approximate": false, + "inputCost": 0.0002, + "inputTokens": 100, + "tokenizer": "o200k_base" + }, + "yaml": { + "approximate": false, + "inputCost": 0.000166, + "inputTokens": 83, + "tokenizer": "o200k_base" + } + }, + "o3-deep-research": { + "json": { + "approximate": false, + "inputCost": 0.00077, + "inputTokens": 77, + "tokenizer": "o200k_base" + }, + "markdown": { + "approximate": false, + "inputCost": 0.00091, + "inputTokens": 91, + "tokenizer": "o200k_base" + }, + "text": { + "approximate": false, + "inputCost": 0.00095, + "inputTokens": 95, + "tokenizer": "o200k_base" + }, + "xml": { + "approximate": false, + "inputCost": 0.001, + "inputTokens": 100, + "tokenizer": "o200k_base" + }, + "yaml": { + "approximate": false, + "inputCost": 0.00083, + "inputTokens": 83, + "tokenizer": "o200k_base" + } + }, + "o3-mini": { + "json": { + "approximate": false, + "inputCost": 0.0000847, + "inputTokens": 77, + "tokenizer": "o200k_base" + }, + "markdown": { + "approximate": false, + "inputCost": 0.0001001, + "inputTokens": 91, + "tokenizer": "o200k_base" + }, + "text": { + "approximate": false, + "inputCost": 0.0001045, + "inputTokens": 95, + "tokenizer": "o200k_base" + }, + "xml": { + "approximate": false, + "inputCost": 0.00011, + "inputTokens": 100, + "tokenizer": "o200k_base" + }, + "yaml": { + "approximate": false, + "inputCost": 0.0000913, + "inputTokens": 83, + "tokenizer": "o200k_base" + } + }, + "o3-pro": { + "json": { + "approximate": false, + "inputCost": 0.00154, + "inputTokens": 77, + "tokenizer": "o200k_base" + }, + "markdown": { + "approximate": false, + "inputCost": 0.00182, + "inputTokens": 91, + "tokenizer": "o200k_base" + }, + "text": { + "approximate": false, + "inputCost": 0.0019, + "inputTokens": 95, + "tokenizer": "o200k_base" + }, + "xml": { + "approximate": false, + "inputCost": 0.002, + "inputTokens": 100, + "tokenizer": "o200k_base" + }, + "yaml": { + "approximate": false, + "inputCost": 0.00166, + "inputTokens": 83, + "tokenizer": "o200k_base" + } + }, + "o4-mini": { + "json": { + "approximate": false, + "inputCost": 0.0000847, + "inputTokens": 77, + "tokenizer": "o200k_base" + }, + "markdown": { + "approximate": false, + "inputCost": 0.0001001, + "inputTokens": 91, + "tokenizer": "o200k_base" + }, + "text": { + "approximate": false, + "inputCost": 0.0001045, "inputTokens": 95, "tokenizer": "o200k_base" }, @@ -1396,6 +1929,166 @@ "inputTokens": 83, "tokenizer": "o200k_base" } + }, + "open-mistral-7b": { + "json": { + "approximate": true, + "inputCost": 0.00002375, + "inputTokens": 95, + "tokenizer": "mistral_v1_v3" + }, + "markdown": { + "approximate": true, + "inputCost": 0.00002625, + "inputTokens": 105, + "tokenizer": "mistral_v1_v3" + }, + "text": { + "approximate": true, + "inputCost": 0.000028, + "inputTokens": 112, + "tokenizer": "mistral_v1_v3" + }, + "xml": { + "approximate": true, + "inputCost": 0.00002925, + "inputTokens": 117, + "tokenizer": "mistral_v1_v3" + }, + "yaml": { + "approximate": true, + "inputCost": 0.00002425, + "inputTokens": 97, + "tokenizer": "mistral_v1_v3" + } + }, + "open-mixtral-8x22b": { + "json": { + "approximate": true, + "inputCost": 0.00019, + "inputTokens": 95, + "tokenizer": "mistral_v1_v3" + }, + "markdown": { + "approximate": true, + "inputCost": 0.00021, + "inputTokens": 105, + "tokenizer": "mistral_v1_v3" + }, + "text": { + "approximate": true, + "inputCost": 0.000224, + "inputTokens": 112, + "tokenizer": "mistral_v1_v3" + }, + "xml": { + "approximate": true, + "inputCost": 0.000234, + "inputTokens": 117, + "tokenizer": "mistral_v1_v3" + }, + "yaml": { + "approximate": true, + "inputCost": 0.000194, + "inputTokens": 97, + "tokenizer": "mistral_v1_v3" + } + }, + "open-mixtral-8x7b": { + "json": { + "approximate": true, + "inputCost": 0.0000665, + "inputTokens": 95, + "tokenizer": "mistral_v1_v3" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000735, + "inputTokens": 105, + "tokenizer": "mistral_v1_v3" + }, + "text": { + "approximate": true, + "inputCost": 0.0000784, + "inputTokens": 112, + "tokenizer": "mistral_v1_v3" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000819, + "inputTokens": 117, + "tokenizer": "mistral_v1_v3" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000679, + "inputTokens": 97, + "tokenizer": "mistral_v1_v3" + } + }, + "pixtral-12b": { + "json": { + "approximate": true, + "inputCost": 0.0000123, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.00001245, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.00001365, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000153, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.00001185, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "pixtral-large-latest": { + "json": { + "approximate": true, + "inputCost": 0.000164, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.000166, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.000182, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.000204, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.000158, + "inputTokens": 79, + "tokenizer": "heuristic" + } } }, "02-tiny-yaml-config.yaml": { @@ -1815,18 +2508,50 @@ "tokenizer": "cl100k_base" } }, - "codex-mini-latest": { + "codestral-latest": { "json": { - "approximate": false, - "inputCost": 0.0001155, - "inputTokens": 77, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000285, + "inputTokens": 95, + "tokenizer": "mistral_v1_v3" }, "markdown": { - "approximate": false, - "inputCost": 0.0001365, - "inputTokens": 91, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000315, + "inputTokens": 105, + "tokenizer": "mistral_v1_v3" + }, + "text": { + "approximate": true, + "inputCost": 0.0000336, + "inputTokens": 112, + "tokenizer": "mistral_v1_v3" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000351, + "inputTokens": 117, + "tokenizer": "mistral_v1_v3" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000291, + "inputTokens": 97, + "tokenizer": "mistral_v1_v3" + } + }, + "codex-mini-latest": { + "json": { + "approximate": false, + "inputCost": 0.0001155, + "inputTokens": 77, + "tokenizer": "o200k_base" + }, + "markdown": { + "approximate": false, + "inputCost": 0.0001365, + "inputTokens": 91, + "tokenizer": "o200k_base" }, "text": { "approximate": false, @@ -1847,6 +2572,166 @@ "tokenizer": "o200k_base" } }, + "command-r": { + "json": { + "approximate": true, + "inputCost": 0.0000123, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.00001245, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.00001365, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000153, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.00001185, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "command-r-plus": { + "json": { + "approximate": true, + "inputCost": 0.000205, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0002075, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0002275, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.000255, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0001975, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "devstral-medium-2507": { + "json": { + "approximate": true, + "inputCost": 0.0000328, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000332, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000364, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000408, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000316, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "devstral-small-2505": { + "json": { + "approximate": true, + "inputCost": 0.0000082, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000083, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000091, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000102, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000079, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "devstral-small-2507": { + "json": { + "approximate": true, + "inputCost": 0.0000082, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000083, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000091, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000102, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000079, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, "gemini-1.5-flash": { "json": { "approximate": true, @@ -2455,167 +3340,359 @@ "tokenizer": "o200k_base" } }, - "o1": { + "magistral-medium-latest": { "json": { - "approximate": false, - "inputCost": 0.001155, - "inputTokens": 77, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000164, + "inputTokens": 82, + "tokenizer": "heuristic" }, "markdown": { - "approximate": false, - "inputCost": 0.001365, - "inputTokens": 91, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000166, + "inputTokens": 83, + "tokenizer": "heuristic" }, "text": { - "approximate": false, - "inputCost": 0.001425, - "inputTokens": 95, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000182, + "inputTokens": 91, + "tokenizer": "heuristic" }, "xml": { - "approximate": false, - "inputCost": 0.0015, - "inputTokens": 100, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000204, + "inputTokens": 102, + "tokenizer": "heuristic" }, "yaml": { - "approximate": false, - "inputCost": 0.001245, - "inputTokens": 83, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000158, + "inputTokens": 79, + "tokenizer": "heuristic" } }, - "o1-mini": { + "magistral-small": { "json": { - "approximate": false, - "inputCost": 0.0000847, - "inputTokens": 77, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000041, + "inputTokens": 82, + "tokenizer": "heuristic" }, "markdown": { - "approximate": false, - "inputCost": 0.0001001, - "inputTokens": 91, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000415, + "inputTokens": 83, + "tokenizer": "heuristic" }, "text": { - "approximate": false, - "inputCost": 0.0001045, - "inputTokens": 95, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000455, + "inputTokens": 91, + "tokenizer": "heuristic" }, "xml": { - "approximate": false, - "inputCost": 0.00011, - "inputTokens": 100, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000051, + "inputTokens": 102, + "tokenizer": "heuristic" }, "yaml": { - "approximate": false, - "inputCost": 0.0000913, - "inputTokens": 83, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000395, + "inputTokens": 79, + "tokenizer": "heuristic" } }, - "o1-pro": { + "ministral-3b-latest": { "json": { - "approximate": false, - "inputCost": 0.01155, - "inputTokens": 77, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.00000328, + "inputTokens": 82, + "tokenizer": "heuristic" }, "markdown": { - "approximate": false, - "inputCost": 0.01365, + "approximate": true, + "inputCost": 0.00000332, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.00000364, "inputTokens": 91, - "tokenizer": "o200k_base" + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.00000408, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.00000316, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "ministral-8b-latest": { + "json": { + "approximate": true, + "inputCost": 0.0000082, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000083, + "inputTokens": 83, + "tokenizer": "heuristic" }, "text": { - "approximate": false, - "inputCost": 0.01425, + "approximate": true, + "inputCost": 0.0000091, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000102, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000079, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "mistral-large-latest": { + "json": { + "approximate": true, + "inputCost": 0.00019, "inputTokens": 95, - "tokenizer": "o200k_base" + "tokenizer": "mistral_v1_v3" + }, + "markdown": { + "approximate": true, + "inputCost": 0.00021, + "inputTokens": 105, + "tokenizer": "mistral_v1_v3" + }, + "text": { + "approximate": true, + "inputCost": 0.000224, + "inputTokens": 112, + "tokenizer": "mistral_v1_v3" }, "xml": { - "approximate": false, - "inputCost": 0.015, - "inputTokens": 100, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000234, + "inputTokens": 117, + "tokenizer": "mistral_v1_v3" }, "yaml": { - "approximate": false, - "inputCost": 0.01245, + "approximate": true, + "inputCost": 0.000194, + "inputTokens": 97, + "tokenizer": "mistral_v1_v3" + } + }, + "mistral-medium-2505": { + "json": { + "approximate": true, + "inputCost": 0.0000328, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000332, "inputTokens": 83, - "tokenizer": "o200k_base" + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000364, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000408, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000316, + "inputTokens": 79, + "tokenizer": "heuristic" } }, - "o3": { + "mistral-medium-2508": { "json": { - "approximate": false, - "inputCost": 0.000154, - "inputTokens": 77, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000328, + "inputTokens": 82, + "tokenizer": "heuristic" }, "markdown": { - "approximate": false, - "inputCost": 0.000182, + "approximate": true, + "inputCost": 0.0000332, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000364, "inputTokens": 91, - "tokenizer": "o200k_base" + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000408, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000316, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "mistral-medium-latest": { + "json": { + "approximate": true, + "inputCost": 0.0000328, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000332, + "inputTokens": 83, + "tokenizer": "heuristic" }, "text": { - "approximate": false, - "inputCost": 0.00019, - "inputTokens": 95, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000364, + "inputTokens": 91, + "tokenizer": "heuristic" }, "xml": { - "approximate": false, - "inputCost": 0.0002, - "inputTokens": 100, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000408, + "inputTokens": 102, + "tokenizer": "heuristic" }, "yaml": { - "approximate": false, - "inputCost": 0.000166, + "approximate": true, + "inputCost": 0.0000316, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "mistral-nemo": { + "json": { + "approximate": true, + "inputCost": 0.0000123, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.00001245, "inputTokens": 83, - "tokenizer": "o200k_base" + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.00001365, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000153, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.00001185, + "inputTokens": 79, + "tokenizer": "heuristic" } }, - "o3-deep-research": { + "mistral-small-latest": { + "json": { + "approximate": true, + "inputCost": 0.0000082, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000083, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000091, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000102, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000079, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "o1": { "json": { "approximate": false, - "inputCost": 0.00077, + "inputCost": 0.001155, "inputTokens": 77, "tokenizer": "o200k_base" }, "markdown": { "approximate": false, - "inputCost": 0.00091, + "inputCost": 0.001365, "inputTokens": 91, "tokenizer": "o200k_base" }, "text": { "approximate": false, - "inputCost": 0.00095, + "inputCost": 0.001425, "inputTokens": 95, "tokenizer": "o200k_base" }, "xml": { "approximate": false, - "inputCost": 0.001, + "inputCost": 0.0015, "inputTokens": 100, "tokenizer": "o200k_base" }, "yaml": { "approximate": false, - "inputCost": 0.00083, + "inputCost": 0.001245, "inputTokens": 83, "tokenizer": "o200k_base" } }, - "o3-mini": { + "o1-mini": { "json": { "approximate": false, "inputCost": 0.0000847, @@ -2647,60 +3724,188 @@ "tokenizer": "o200k_base" } }, - "o3-pro": { + "o1-pro": { "json": { "approximate": false, - "inputCost": 0.00154, + "inputCost": 0.01155, "inputTokens": 77, "tokenizer": "o200k_base" }, "markdown": { "approximate": false, - "inputCost": 0.00182, + "inputCost": 0.01365, "inputTokens": 91, "tokenizer": "o200k_base" }, "text": { "approximate": false, - "inputCost": 0.0019, + "inputCost": 0.01425, "inputTokens": 95, "tokenizer": "o200k_base" }, "xml": { "approximate": false, - "inputCost": 0.002, + "inputCost": 0.015, "inputTokens": 100, "tokenizer": "o200k_base" }, "yaml": { "approximate": false, - "inputCost": 0.00166, + "inputCost": 0.01245, "inputTokens": 83, "tokenizer": "o200k_base" } }, - "o4-mini": { + "o3": { "json": { "approximate": false, - "inputCost": 0.0000847, + "inputCost": 0.000154, "inputTokens": 77, "tokenizer": "o200k_base" }, "markdown": { "approximate": false, - "inputCost": 0.0001001, + "inputCost": 0.000182, "inputTokens": 91, "tokenizer": "o200k_base" }, "text": { "approximate": false, - "inputCost": 0.0001045, + "inputCost": 0.00019, "inputTokens": 95, "tokenizer": "o200k_base" }, "xml": { "approximate": false, - "inputCost": 0.00011, + "inputCost": 0.0002, + "inputTokens": 100, + "tokenizer": "o200k_base" + }, + "yaml": { + "approximate": false, + "inputCost": 0.000166, + "inputTokens": 83, + "tokenizer": "o200k_base" + } + }, + "o3-deep-research": { + "json": { + "approximate": false, + "inputCost": 0.00077, + "inputTokens": 77, + "tokenizer": "o200k_base" + }, + "markdown": { + "approximate": false, + "inputCost": 0.00091, + "inputTokens": 91, + "tokenizer": "o200k_base" + }, + "text": { + "approximate": false, + "inputCost": 0.00095, + "inputTokens": 95, + "tokenizer": "o200k_base" + }, + "xml": { + "approximate": false, + "inputCost": 0.001, + "inputTokens": 100, + "tokenizer": "o200k_base" + }, + "yaml": { + "approximate": false, + "inputCost": 0.00083, + "inputTokens": 83, + "tokenizer": "o200k_base" + } + }, + "o3-mini": { + "json": { + "approximate": false, + "inputCost": 0.0000847, + "inputTokens": 77, + "tokenizer": "o200k_base" + }, + "markdown": { + "approximate": false, + "inputCost": 0.0001001, + "inputTokens": 91, + "tokenizer": "o200k_base" + }, + "text": { + "approximate": false, + "inputCost": 0.0001045, + "inputTokens": 95, + "tokenizer": "o200k_base" + }, + "xml": { + "approximate": false, + "inputCost": 0.00011, + "inputTokens": 100, + "tokenizer": "o200k_base" + }, + "yaml": { + "approximate": false, + "inputCost": 0.0000913, + "inputTokens": 83, + "tokenizer": "o200k_base" + } + }, + "o3-pro": { + "json": { + "approximate": false, + "inputCost": 0.00154, + "inputTokens": 77, + "tokenizer": "o200k_base" + }, + "markdown": { + "approximate": false, + "inputCost": 0.00182, + "inputTokens": 91, + "tokenizer": "o200k_base" + }, + "text": { + "approximate": false, + "inputCost": 0.0019, + "inputTokens": 95, + "tokenizer": "o200k_base" + }, + "xml": { + "approximate": false, + "inputCost": 0.002, + "inputTokens": 100, + "tokenizer": "o200k_base" + }, + "yaml": { + "approximate": false, + "inputCost": 0.00166, + "inputTokens": 83, + "tokenizer": "o200k_base" + } + }, + "o4-mini": { + "json": { + "approximate": false, + "inputCost": 0.0000847, + "inputTokens": 77, + "tokenizer": "o200k_base" + }, + "markdown": { + "approximate": false, + "inputCost": 0.0001001, + "inputTokens": 91, + "tokenizer": "o200k_base" + }, + "text": { + "approximate": false, + "inputCost": 0.0001045, + "inputTokens": 95, + "tokenizer": "o200k_base" + }, + "xml": { + "approximate": false, + "inputCost": 0.00011, "inputTokens": 100, "tokenizer": "o200k_base" }, @@ -2742,6 +3947,166 @@ "inputTokens": 83, "tokenizer": "o200k_base" } + }, + "open-mistral-7b": { + "json": { + "approximate": true, + "inputCost": 0.00002375, + "inputTokens": 95, + "tokenizer": "mistral_v1_v3" + }, + "markdown": { + "approximate": true, + "inputCost": 0.00002625, + "inputTokens": 105, + "tokenizer": "mistral_v1_v3" + }, + "text": { + "approximate": true, + "inputCost": 0.000028, + "inputTokens": 112, + "tokenizer": "mistral_v1_v3" + }, + "xml": { + "approximate": true, + "inputCost": 0.00002925, + "inputTokens": 117, + "tokenizer": "mistral_v1_v3" + }, + "yaml": { + "approximate": true, + "inputCost": 0.00002425, + "inputTokens": 97, + "tokenizer": "mistral_v1_v3" + } + }, + "open-mixtral-8x22b": { + "json": { + "approximate": true, + "inputCost": 0.00019, + "inputTokens": 95, + "tokenizer": "mistral_v1_v3" + }, + "markdown": { + "approximate": true, + "inputCost": 0.00021, + "inputTokens": 105, + "tokenizer": "mistral_v1_v3" + }, + "text": { + "approximate": true, + "inputCost": 0.000224, + "inputTokens": 112, + "tokenizer": "mistral_v1_v3" + }, + "xml": { + "approximate": true, + "inputCost": 0.000234, + "inputTokens": 117, + "tokenizer": "mistral_v1_v3" + }, + "yaml": { + "approximate": true, + "inputCost": 0.000194, + "inputTokens": 97, + "tokenizer": "mistral_v1_v3" + } + }, + "open-mixtral-8x7b": { + "json": { + "approximate": true, + "inputCost": 0.0000665, + "inputTokens": 95, + "tokenizer": "mistral_v1_v3" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000735, + "inputTokens": 105, + "tokenizer": "mistral_v1_v3" + }, + "text": { + "approximate": true, + "inputCost": 0.0000784, + "inputTokens": 112, + "tokenizer": "mistral_v1_v3" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000819, + "inputTokens": 117, + "tokenizer": "mistral_v1_v3" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000679, + "inputTokens": 97, + "tokenizer": "mistral_v1_v3" + } + }, + "pixtral-12b": { + "json": { + "approximate": true, + "inputCost": 0.0000123, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.00001245, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.00001365, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000153, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.00001185, + "inputTokens": 79, + "tokenizer": "heuristic" + } + }, + "pixtral-large-latest": { + "json": { + "approximate": true, + "inputCost": 0.000164, + "inputTokens": 82, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.000166, + "inputTokens": 83, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.000182, + "inputTokens": 91, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.000204, + "inputTokens": 102, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.000158, + "inputTokens": 79, + "tokenizer": "heuristic" + } } }, "03-plain-prose.txt": { @@ -3161,18 +4526,50 @@ "tokenizer": "cl100k_base" } }, - "codex-mini-latest": { + "codestral-latest": { "json": { - "approximate": false, - "inputCost": 0.0002625, - "inputTokens": 175, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000567, + "inputTokens": 189, + "tokenizer": "mistral_v1_v3" }, "markdown": { - "approximate": false, - "inputCost": 0.000261, - "inputTokens": 174, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000561, + "inputTokens": 187, + "tokenizer": "mistral_v1_v3" + }, + "text": { + "approximate": true, + "inputCost": 0.0000558, + "inputTokens": 186, + "tokenizer": "mistral_v1_v3" + }, + "xml": { + "approximate": true, + "inputCost": 0.0001302, + "inputTokens": 434, + "tokenizer": "mistral_v1_v3" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000597, + "inputTokens": 199, + "tokenizer": "mistral_v1_v3" + } + }, + "codex-mini-latest": { + "json": { + "approximate": false, + "inputCost": 0.0002625, + "inputTokens": 175, + "tokenizer": "o200k_base" + }, + "markdown": { + "approximate": false, + "inputCost": 0.000261, + "inputTokens": 174, + "tokenizer": "o200k_base" }, "text": { "approximate": false, @@ -3193,6 +4590,166 @@ "tokenizer": "o200k_base" } }, + "command-r": { + "json": { + "approximate": true, + "inputCost": 0.00003345, + "inputTokens": 223, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000333, + "inputTokens": 222, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.00003315, + "inputTokens": 221, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.00004965, + "inputTokens": 331, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.00003375, + "inputTokens": 225, + "tokenizer": "heuristic" + } + }, + "command-r-plus": { + "json": { + "approximate": true, + "inputCost": 0.0005575, + "inputTokens": 223, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.000555, + "inputTokens": 222, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0005525, + "inputTokens": 221, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0008275, + "inputTokens": 331, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0005625, + "inputTokens": 225, + "tokenizer": "heuristic" + } + }, + "devstral-medium-2507": { + "json": { + "approximate": true, + "inputCost": 0.0000892, + "inputTokens": 223, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000888, + "inputTokens": 222, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000884, + "inputTokens": 221, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0001324, + "inputTokens": 331, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.00009, + "inputTokens": 225, + "tokenizer": "heuristic" + } + }, + "devstral-small-2505": { + "json": { + "approximate": true, + "inputCost": 0.0000223, + "inputTokens": 223, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000222, + "inputTokens": 222, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000221, + "inputTokens": 221, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000331, + "inputTokens": 331, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000225, + "inputTokens": 225, + "tokenizer": "heuristic" + } + }, + "devstral-small-2507": { + "json": { + "approximate": true, + "inputCost": 0.0000223, + "inputTokens": 223, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000222, + "inputTokens": 222, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000221, + "inputTokens": 221, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000331, + "inputTokens": 331, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000225, + "inputTokens": 225, + "tokenizer": "heuristic" + } + }, "gemini-1.5-flash": { "json": { "approximate": true, @@ -3801,167 +5358,359 @@ "tokenizer": "o200k_base" } }, - "o1": { + "magistral-medium-latest": { "json": { - "approximate": false, - "inputCost": 0.002625, - "inputTokens": 175, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000446, + "inputTokens": 223, + "tokenizer": "heuristic" }, "markdown": { - "approximate": false, - "inputCost": 0.00261, - "inputTokens": 174, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000444, + "inputTokens": 222, + "tokenizer": "heuristic" }, "text": { - "approximate": false, - "inputCost": 0.00258, - "inputTokens": 172, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000442, + "inputTokens": 221, + "tokenizer": "heuristic" }, "xml": { - "approximate": false, - "inputCost": 0.00444, - "inputTokens": 296, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000662, + "inputTokens": 331, + "tokenizer": "heuristic" }, "yaml": { - "approximate": false, - "inputCost": 0.00273, - "inputTokens": 182, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.00045, + "inputTokens": 225, + "tokenizer": "heuristic" } }, - "o1-mini": { + "magistral-small": { "json": { - "approximate": false, - "inputCost": 0.0001925, - "inputTokens": 175, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0001115, + "inputTokens": 223, + "tokenizer": "heuristic" }, "markdown": { - "approximate": false, - "inputCost": 0.0001914, - "inputTokens": 174, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000111, + "inputTokens": 222, + "tokenizer": "heuristic" }, "text": { - "approximate": false, - "inputCost": 0.0001892, - "inputTokens": 172, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0001105, + "inputTokens": 221, + "tokenizer": "heuristic" }, "xml": { - "approximate": false, - "inputCost": 0.0003256, - "inputTokens": 296, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0001655, + "inputTokens": 331, + "tokenizer": 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- "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.00001324, + "inputTokens": 331, + "tokenizer": "heuristic" }, "yaml": { - "approximate": false, - "inputCost": 0.0273, - "inputTokens": 182, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000009, + "inputTokens": 225, + "tokenizer": "heuristic" } }, - "o3": { + "ministral-8b-latest": { "json": { - "approximate": false, - "inputCost": 0.00035, - "inputTokens": 175, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000223, + "inputTokens": 223, + "tokenizer": "heuristic" }, "markdown": { - "approximate": false, - "inputCost": 0.000348, - "inputTokens": 174, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000222, + "inputTokens": 222, + "tokenizer": "heuristic" }, "text": { - "approximate": false, - "inputCost": 0.000344, - "inputTokens": 172, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000221, + "inputTokens": 221, + "tokenizer": 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"inputCost": 0.000398, + "inputTokens": 199, + "tokenizer": "mistral_v1_v3" + } + }, + "mistral-medium-2505": { + "json": { + "approximate": true, + "inputCost": 0.0000892, + "inputTokens": 223, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000888, + "inputTokens": 222, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000884, + "inputTokens": 221, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0001324, + "inputTokens": 331, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.00009, + "inputTokens": 225, + "tokenizer": "heuristic" + } + }, + "mistral-medium-2508": { + "json": { + "approximate": true, + "inputCost": 0.0000892, + "inputTokens": 223, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000888, + "inputTokens": 222, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + 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"heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000225, + "inputTokens": 225, + "tokenizer": "heuristic" + } + }, + "o1": { "json": { "approximate": false, - "inputCost": 0.00175, + "inputCost": 0.002625, "inputTokens": 175, "tokenizer": "o200k_base" }, "markdown": { "approximate": false, - "inputCost": 0.00174, + "inputCost": 0.00261, "inputTokens": 174, "tokenizer": "o200k_base" }, "text": { "approximate": false, - "inputCost": 0.00172, + "inputCost": 0.00258, "inputTokens": 172, "tokenizer": "o200k_base" }, "xml": { "approximate": false, - "inputCost": 0.00296, + "inputCost": 0.00444, "inputTokens": 296, "tokenizer": "o200k_base" }, "yaml": { "approximate": false, - "inputCost": 0.00182, + "inputCost": 0.00273, "inputTokens": 182, "tokenizer": "o200k_base" } }, - "o3-mini": { + "o1-mini": { "json": { "approximate": false, "inputCost": 0.0001925, @@ -3993,42 +5742,170 @@ "tokenizer": "o200k_base" } }, - "o3-pro": { + "o1-pro": { "json": { "approximate": false, - "inputCost": 0.0035, + "inputCost": 0.02625, "inputTokens": 175, "tokenizer": "o200k_base" }, "markdown": { "approximate": false, - "inputCost": 0.00348, + "inputCost": 0.0261, "inputTokens": 174, "tokenizer": "o200k_base" }, "text": { "approximate": false, - "inputCost": 0.00344, + "inputCost": 0.0258, "inputTokens": 172, "tokenizer": "o200k_base" }, "xml": { "approximate": false, - "inputCost": 0.00592, + "inputCost": 0.0444, "inputTokens": 296, "tokenizer": "o200k_base" }, "yaml": { "approximate": false, - "inputCost": 0.00364, + "inputCost": 0.0273, "inputTokens": 182, "tokenizer": "o200k_base" } }, - "o4-mini": { + "o3": { "json": { "approximate": false, - "inputCost": 0.0001925, + "inputCost": 0.00035, + "inputTokens": 175, + "tokenizer": "o200k_base" + }, + "markdown": { + "approximate": false, + "inputCost": 0.000348, + "inputTokens": 174, + "tokenizer": "o200k_base" + }, + "text": { + "approximate": false, + "inputCost": 0.000344, + "inputTokens": 172, + "tokenizer": 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"markdown": { + "approximate": false, + "inputCost": 0.0001914, + "inputTokens": 174, + "tokenizer": "o200k_base" + }, + "text": { + "approximate": false, + "inputCost": 0.0001892, + "inputTokens": 172, + "tokenizer": "o200k_base" + }, + "xml": { + "approximate": false, + "inputCost": 0.0003256, + "inputTokens": 296, + "tokenizer": "o200k_base" + }, + "yaml": { + "approximate": false, + "inputCost": 0.0002002, + "inputTokens": 182, + "tokenizer": "o200k_base" + } + }, + "o3-pro": { + "json": { + "approximate": false, + "inputCost": 0.0035, + "inputTokens": 175, + "tokenizer": "o200k_base" + }, + "markdown": { + "approximate": false, + "inputCost": 0.00348, + "inputTokens": 174, + "tokenizer": "o200k_base" + }, + "text": { + "approximate": false, + "inputCost": 0.00344, + "inputTokens": 172, + "tokenizer": "o200k_base" + }, + "xml": { + "approximate": false, + "inputCost": 0.00592, + "inputTokens": 296, + "tokenizer": "o200k_base" + }, + "yaml": { + "approximate": false, + "inputCost": 0.00364, + "inputTokens": 182, + "tokenizer": "o200k_base" + } + }, + "o4-mini": { + "json": { + "approximate": false, + "inputCost": 0.0001925, "inputTokens": 175, "tokenizer": "o200k_base" }, @@ -4088,6 +5965,166 @@ "inputTokens": 182, "tokenizer": "o200k_base" } + }, + "open-mistral-7b": { + "json": { + "approximate": true, + "inputCost": 0.00004725, + "inputTokens": 189, + "tokenizer": "mistral_v1_v3" + }, + "markdown": { + "approximate": true, + "inputCost": 0.00004675, + "inputTokens": 187, + "tokenizer": "mistral_v1_v3" + }, + "text": { + "approximate": true, + "inputCost": 0.0000465, + "inputTokens": 186, + "tokenizer": "mistral_v1_v3" + }, + "xml": { + "approximate": true, + "inputCost": 0.0001085, + "inputTokens": 434, + "tokenizer": "mistral_v1_v3" + }, + "yaml": { + "approximate": true, + "inputCost": 0.00004975, + "inputTokens": 199, + "tokenizer": "mistral_v1_v3" + } + }, + "open-mixtral-8x22b": { + "json": { + "approximate": true, + "inputCost": 0.000378, + "inputTokens": 189, + "tokenizer": "mistral_v1_v3" + }, + "markdown": { + "approximate": true, + "inputCost": 0.000374, + "inputTokens": 187, + "tokenizer": "mistral_v1_v3" + }, + "text": { + "approximate": true, + "inputCost": 0.000372, + "inputTokens": 186, + "tokenizer": "mistral_v1_v3" + }, + "xml": { + "approximate": true, + "inputCost": 0.000868, + "inputTokens": 434, + "tokenizer": "mistral_v1_v3" + }, + "yaml": { + "approximate": true, + "inputCost": 0.000398, + "inputTokens": 199, + "tokenizer": "mistral_v1_v3" + } + }, + "open-mixtral-8x7b": { + "json": { + "approximate": true, + "inputCost": 0.0001323, + "inputTokens": 189, + "tokenizer": "mistral_v1_v3" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0001309, + "inputTokens": 187, + "tokenizer": "mistral_v1_v3" + }, + "text": { + "approximate": true, + "inputCost": 0.0001302, + "inputTokens": 186, + "tokenizer": "mistral_v1_v3" + }, + "xml": { + "approximate": true, + "inputCost": 0.0003038, + "inputTokens": 434, + "tokenizer": "mistral_v1_v3" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0001393, + "inputTokens": 199, + "tokenizer": "mistral_v1_v3" + } + }, + "pixtral-12b": { + "json": { + "approximate": true, + "inputCost": 0.00003345, + "inputTokens": 223, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000333, + "inputTokens": 222, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.00003315, + "inputTokens": 221, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.00004965, + "inputTokens": 331, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.00003375, + "inputTokens": 225, + "tokenizer": "heuristic" + } + }, + "pixtral-large-latest": { + "json": { + "approximate": true, + "inputCost": 0.000446, + "inputTokens": 223, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.000444, + "inputTokens": 222, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.000442, + "inputTokens": 221, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.000662, + "inputTokens": 331, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.00045, + "inputTokens": 225, + "tokenizer": "heuristic" + } } }, "04-code-typescript.ts": { @@ -4507,23 +6544,55 @@ "tokenizer": "cl100k_base" } }, - "codex-mini-latest": { + "codestral-latest": { "json": { - "approximate": false, - "inputCost": 0.0005085, - "inputTokens": 339, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0001137, + "inputTokens": 379, + "tokenizer": "mistral_v1_v3" }, "markdown": { - "approximate": false, - "inputCost": 0.000411, - "inputTokens": 274, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000105, + "inputTokens": 350, + "tokenizer": "mistral_v1_v3" }, "text": { - "approximate": false, - "inputCost": 0.000411, - "inputTokens": 274, + "approximate": true, + "inputCost": 0.000105, + "inputTokens": 350, + "tokenizer": "mistral_v1_v3" + }, + "xml": { + "approximate": true, + "inputCost": 0.0001122, + "inputTokens": 374, + "tokenizer": "mistral_v1_v3" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0001056, + "inputTokens": 352, + "tokenizer": "mistral_v1_v3" + } + }, + "codex-mini-latest": { + "json": { + "approximate": false, + "inputCost": 0.0005085, + "inputTokens": 339, + "tokenizer": "o200k_base" + }, + "markdown": { + "approximate": false, + "inputCost": 0.000411, + "inputTokens": 274, + "tokenizer": "o200k_base" + }, + "text": { + "approximate": false, + "inputCost": 0.000411, + "inputTokens": 274, "tokenizer": "o200k_base" }, "xml": { @@ -4539,6 +6608,166 @@ "tokenizer": "o200k_base" } }, + "command-r": { + "json": { + "approximate": true, + "inputCost": 0.0000426, + "inputTokens": 284, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 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+ }, + "xml": { + "approximate": true, + "inputCost": 0.0000283, + "inputTokens": 283, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000275, + "inputTokens": 275, + "tokenizer": "heuristic" + } + }, + "devstral-small-2507": { + "json": { + "approximate": true, + "inputCost": 0.0000284, + "inputTokens": 284, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000274, + "inputTokens": 274, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000274, + "inputTokens": 274, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000283, + "inputTokens": 283, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000275, + "inputTokens": 275, + "tokenizer": "heuristic" + } + }, "gemini-1.5-flash": { "json": { "approximate": true, @@ -5147,263 +7376,423 @@ "tokenizer": "o200k_base" } }, - "o1": { + "magistral-medium-latest": { "json": { - "approximate": false, - "inputCost": 0.005085, - "inputTokens": 339, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000568, + "inputTokens": 284, + "tokenizer": "heuristic" }, "markdown": { - "approximate": false, - "inputCost": 0.00411, + "approximate": true, + "inputCost": 0.000548, "inputTokens": 274, - "tokenizer": "o200k_base" + "tokenizer": "heuristic" }, "text": { - "approximate": false, - "inputCost": 0.00411, + "approximate": true, + "inputCost": 0.000548, "inputTokens": 274, - "tokenizer": "o200k_base" + "tokenizer": "heuristic" }, "xml": { - "approximate": false, - "inputCost": 0.004395, - "inputTokens": 293, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000566, + "inputTokens": 283, + "tokenizer": "heuristic" }, "yaml": { - "approximate": false, - "inputCost": 0.004125, + "approximate": true, + "inputCost": 0.00055, "inputTokens": 275, - "tokenizer": "o200k_base" + "tokenizer": "heuristic" } }, - "o1-mini": { + 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} }, - "o1-pro": { + "ministral-3b-latest": { "json": { - "approximate": false, - "inputCost": 0.05085, - "inputTokens": 339, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.00001136, + "inputTokens": 284, + "tokenizer": "heuristic" }, "markdown": { - "approximate": false, - "inputCost": 0.0411, + "approximate": true, + "inputCost": 0.00001096, "inputTokens": 274, - "tokenizer": "o200k_base" + "tokenizer": "heuristic" }, "text": { - "approximate": false, - "inputCost": 0.0411, + "approximate": true, + "inputCost": 0.00001096, "inputTokens": 274, - "tokenizer": "o200k_base" + "tokenizer": "heuristic" }, "xml": { - "approximate": false, - "inputCost": 0.04395, - "inputTokens": 293, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.00001132, + "inputTokens": 283, + "tokenizer": "heuristic" }, "yaml": { - "approximate": false, - "inputCost": 0.04125, + "approximate": true, + "inputCost": 0.000011, "inputTokens": 275, - "tokenizer": "o200k_base" + "tokenizer": "heuristic" } }, - "o3": { + "ministral-8b-latest": { "json": { - "approximate": false, - "inputCost": 0.000678, - "inputTokens": 339, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000284, + "inputTokens": 284, + "tokenizer": "heuristic" }, "markdown": { - "approximate": false, - "inputCost": 0.000548, + "approximate": true, + "inputCost": 0.0000274, "inputTokens": 274, - "tokenizer": "o200k_base" + "tokenizer": "heuristic" }, "text": { - "approximate": false, - "inputCost": 0.000548, + "approximate": true, + "inputCost": 0.0000274, "inputTokens": 274, - "tokenizer": "o200k_base" + "tokenizer": "heuristic" }, "xml": { - "approximate": false, - "inputCost": 0.000586, - "inputTokens": 293, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000283, + "inputTokens": 283, + "tokenizer": "heuristic" }, "yaml": { - "approximate": false, - "inputCost": 0.00055, + "approximate": true, + "inputCost": 0.0000275, "inputTokens": 275, - 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"tokenizer": "o200k_base" + } + }, + "gpt-4-turbo": { + "json": { + "approximate": false, + "inputCost": 0.00307, + "inputTokens": 307, + "tokenizer": "o200k_base" + }, + "markdown": { + "approximate": false, + "inputCost": 0.00096, + "inputTokens": 96, + "tokenizer": "o200k_base" + }, + "text": { + "approximate": false, + "inputCost": 0.00869, + "inputTokens": 869, + "tokenizer": "o200k_base" + }, + "xml": { + "approximate": false, + "inputCost": 0.00474, + "inputTokens": 474, + "tokenizer": "o200k_base" + }, + "yaml": { + "approximate": false, + "inputCost": 0.00389, + "inputTokens": 389, + "tokenizer": "o200k_base" + } + }, + "gpt-4.1": { + "json": { + "approximate": false, + "inputCost": 0.000614, + "inputTokens": 307, + "tokenizer": "o200k_base" + }, + "markdown": { + "approximate": false, + "inputCost": 0.000192, + "inputTokens": 96, + "tokenizer": "o200k_base" + }, + "text": { + "approximate": false, + "inputCost": 0.001738, + "inputTokens": 869, + "tokenizer": "o200k_base" + }, + "xml": { + "approximate": false, + "inputCost": 0.000948, + "inputTokens": 474, + "tokenizer": "o200k_base" + }, + "yaml": { + "approximate": false, + "inputCost": 0.000778, + "inputTokens": 389, + "tokenizer": "o200k_base" + } + }, + "gpt-4.1-mini": { "json": { "approximate": false, - "inputCost": 0.0001535, + "inputCost": 0.0001228, "inputTokens": 307, "tokenizer": "o200k_base" }, "markdown": { "approximate": false, - "inputCost": 0.000048, + "inputCost": 0.0000384, "inputTokens": 96, "tokenizer": "o200k_base" }, "text": { "approximate": false, - "inputCost": 0.0004345, + "inputCost": 0.0003476, "inputTokens": 869, "tokenizer": "o200k_base" }, "xml": { "approximate": false, - "inputCost": 0.000237, + "inputCost": 0.0001896, "inputTokens": 474, "tokenizer": "o200k_base" }, "yaml": { "approximate": false, - "inputCost": 0.0001945, + "inputCost": 0.0001556, "inputTokens": 389, "tokenizer": "o200k_base" } }, - "gpt-4": { + "gpt-4.1-nano": { "json": { "approximate": false, - 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"tokenizer": "o200k_base" } }, - "gpt-4.1-mini": { + "gpt-5": { "json": { "approximate": false, - "inputCost": 0.0001228, + "inputCost": 0.00038375, "inputTokens": 307, "tokenizer": "o200k_base" }, "markdown": { "approximate": false, - "inputCost": 0.0000384, + "inputCost": 0.00012, "inputTokens": 96, "tokenizer": "o200k_base" }, "text": { "approximate": false, - "inputCost": 0.0003476, + "inputCost": 0.00108625, "inputTokens": 869, "tokenizer": "o200k_base" }, "xml": { "approximate": false, - "inputCost": 0.0001896, + "inputCost": 0.0005925, "inputTokens": 474, "tokenizer": "o200k_base" }, "yaml": { "approximate": false, - "inputCost": 0.0001556, + "inputCost": 0.00048625, "inputTokens": 389, "tokenizer": "o200k_base" } }, - "gpt-4.1-nano": { + "gpt-5-chat-latest": { "json": { "approximate": false, - "inputCost": 0.0000307, + "inputCost": 0.00038375, "inputTokens": 307, "tokenizer": "o200k_base" }, "markdown": { "approximate": false, - "inputCost": 0.0000096, + "inputCost": 0.00012, 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"tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.000222, + "inputTokens": 111, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.001612, + "inputTokens": 806, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.00094, + "inputTokens": 470, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.000994, + "inputTokens": 497, + "tokenizer": "heuristic" + } + }, + "magistral-small": { + "json": { + "approximate": true, + "inputCost": 0.000174, + "inputTokens": 348, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000555, + "inputTokens": 111, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.000403, + "inputTokens": 806, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.000235, + "inputTokens": 470, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0002485, + "inputTokens": 497, + "tokenizer": "heuristic" + } + }, + "ministral-3b-latest": { + "json": { + "approximate": true, + "inputCost": 0.00001392, + "inputTokens": 348, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.00000444, + "inputTokens": 111, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.00003224, + "inputTokens": 806, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000188, + "inputTokens": 470, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.00001988, + "inputTokens": 497, + "tokenizer": "heuristic" + } + }, + "ministral-8b-latest": { + "json": { + "approximate": true, + "inputCost": 0.0000348, + "inputTokens": 348, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000111, + "inputTokens": 111, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0000806, + "inputTokens": 806, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.000047, + "inputTokens": 470, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0000497, + "inputTokens": 497, + "tokenizer": "heuristic" + } + }, + "mistral-large-latest": { + "json": { + "approximate": true, + "inputCost": 0.000752, + "inputTokens": 376, + "tokenizer": "mistral_v1_v3" + }, + "markdown": { + "approximate": true, + "inputCost": 0.000224, + "inputTokens": 112, + "tokenizer": "mistral_v1_v3" + }, + "text": { + "approximate": true, + "inputCost": 0.001894, + "inputTokens": 947, + "tokenizer": "mistral_v1_v3" + }, + "xml": { + "approximate": true, + "inputCost": 0.001024, + "inputTokens": 512, + "tokenizer": "mistral_v1_v3" + }, + "yaml": { + "approximate": true, + "inputCost": 0.000912, + "inputTokens": 456, + "tokenizer": "mistral_v1_v3" + } + }, + "mistral-medium-2505": { + "json": { + 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"tokenizer": "heuristic" }, "text": { - "approximate": false, - "inputCost": 0.00108625, - "inputTokens": 869, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0003224, + "inputTokens": 806, + "tokenizer": "heuristic" }, "xml": { - "approximate": false, - "inputCost": 0.0005925, - "inputTokens": 474, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000188, + "inputTokens": 470, + "tokenizer": "heuristic" }, "yaml": { - "approximate": false, - "inputCost": 0.00048625, - "inputTokens": 389, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0001988, + "inputTokens": 497, + "tokenizer": "heuristic" } }, - "gpt-5-chat-latest": { + "mistral-medium-latest": { "json": { - "approximate": false, - "inputCost": 0.00038375, - "inputTokens": 307, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0001392, + "inputTokens": 348, + "tokenizer": "heuristic" }, "markdown": { - "approximate": false, - "inputCost": 0.00012, - 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348, + "tokenizer": "heuristic" }, "markdown": { - "approximate": false, - "inputCost": 0.000024, - "inputTokens": 96, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.00001665, + "inputTokens": 111, + "tokenizer": "heuristic" }, "text": { - "approximate": false, - "inputCost": 0.00021725, - "inputTokens": 869, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0001209, + "inputTokens": 806, + "tokenizer": "heuristic" }, "xml": { - "approximate": false, - "inputCost": 0.0001185, - "inputTokens": 474, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000705, + "inputTokens": 470, + "tokenizer": "heuristic" }, "yaml": { - "approximate": false, - "inputCost": 0.00009725, - "inputTokens": 389, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.00007455, + "inputTokens": 497, + "tokenizer": "heuristic" } }, - "gpt-5-nano": { + "mistral-small-latest": { "json": { - "approximate": false, - "inputCost": 0.00001535, - "inputTokens": 307, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000348, + "inputTokens": 348, + "tokenizer": "heuristic" }, "markdown": { - "approximate": false, - "inputCost": 0.0000048, - "inputTokens": 96, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000111, + "inputTokens": 111, + "tokenizer": "heuristic" }, "text": { - "approximate": false, - "inputCost": 0.00004345, - "inputTokens": 869, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000806, + "inputTokens": 806, + "tokenizer": "heuristic" }, "xml": { - "approximate": false, - "inputCost": 0.0000237, - "inputTokens": 474, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.000047, + "inputTokens": 470, + "tokenizer": "heuristic" }, "yaml": { - "approximate": false, - "inputCost": 0.00001945, - "inputTokens": 389, - "tokenizer": "o200k_base" + "approximate": true, + "inputCost": 0.0000497, + "inputTokens": 497, + "tokenizer": "heuristic" } }, "o1": { @@ -13510,9 +20091,169 @@ "inputTokens": 389, "tokenizer": "o200k_base" } + }, + "open-mistral-7b": { + "json": { + "approximate": true, + "inputCost": 0.000094, + "inputTokens": 376, + "tokenizer": "mistral_v1_v3" + }, + "markdown": { + "approximate": true, + "inputCost": 0.000028, + "inputTokens": 112, + "tokenizer": "mistral_v1_v3" + }, + "text": { + "approximate": true, + "inputCost": 0.00023675, + "inputTokens": 947, + "tokenizer": "mistral_v1_v3" + }, + "xml": { + "approximate": true, + "inputCost": 0.000128, + "inputTokens": 512, + "tokenizer": "mistral_v1_v3" + }, + "yaml": { + "approximate": true, + "inputCost": 0.000114, + "inputTokens": 456, + "tokenizer": "mistral_v1_v3" + } + }, + "open-mixtral-8x22b": { + "json": { + "approximate": true, + "inputCost": 0.000752, + "inputTokens": 376, + "tokenizer": "mistral_v1_v3" + }, + "markdown": { + "approximate": true, + "inputCost": 0.000224, + "inputTokens": 112, + "tokenizer": "mistral_v1_v3" + }, + "text": { + "approximate": true, + "inputCost": 0.001894, + "inputTokens": 947, + "tokenizer": "mistral_v1_v3" + }, + "xml": { + "approximate": true, + "inputCost": 0.001024, + "inputTokens": 512, + "tokenizer": "mistral_v1_v3" + }, + "yaml": { + "approximate": true, + "inputCost": 0.000912, + "inputTokens": 456, + "tokenizer": "mistral_v1_v3" + } + }, + "open-mixtral-8x7b": { + "json": { + "approximate": true, + "inputCost": 0.0002632, + "inputTokens": 376, + "tokenizer": "mistral_v1_v3" + }, + "markdown": { + "approximate": true, + "inputCost": 0.0000784, + "inputTokens": 112, + "tokenizer": "mistral_v1_v3" + }, + "text": { + "approximate": true, + "inputCost": 0.0006629, + "inputTokens": 947, + "tokenizer": "mistral_v1_v3" + }, + "xml": { + "approximate": true, + "inputCost": 0.0003584, + "inputTokens": 512, + "tokenizer": "mistral_v1_v3" + }, + "yaml": { + "approximate": true, + "inputCost": 0.0003192, + "inputTokens": 456, + "tokenizer": "mistral_v1_v3" + } + }, + "pixtral-12b": { + "json": { + "approximate": true, + "inputCost": 0.0000522, + "inputTokens": 348, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.00001665, + "inputTokens": 111, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.0001209, + "inputTokens": 806, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.0000705, + "inputTokens": 470, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.00007455, + "inputTokens": 497, + "tokenizer": "heuristic" + } + }, + "pixtral-large-latest": { + "json": { + "approximate": true, + "inputCost": 0.000696, + "inputTokens": 348, + "tokenizer": "heuristic" + }, + "markdown": { + "approximate": true, + "inputCost": 0.000222, + "inputTokens": 111, + "tokenizer": "heuristic" + }, + "text": { + "approximate": true, + "inputCost": 0.001612, + "inputTokens": 806, + "tokenizer": "heuristic" + }, + "xml": { + "approximate": true, + "inputCost": 0.00094, + "inputTokens": 470, + "tokenizer": "heuristic" + }, + "yaml": { + "approximate": true, + "inputCost": 0.000994, + "inputTokens": 497, + "tokenizer": "heuristic" + } } } }, - "ratesVersion": "2026-05-08", + "ratesVersion": "2026-05-09", "schemaVersion": 1 } diff --git a/benchmarks/run.mjs b/benchmarks/run.mjs index 25e2c10..2005037 100644 --- a/benchmarks/run.mjs +++ b/benchmarks/run.mjs @@ -1,4 +1,16 @@ #!/usr/bin/env node +// +// Benchmark sweep modes: +// +// node benchmarks/run.mjs # offline drift check vs results.json +// node benchmarks/run.mjs --regenerate # rewrite results.json from current code +// node benchmarks/run.mjs --empirical # countTokens sweep (Anthropic / Google free), writes empirical.json +// node benchmarks/run.mjs --latency # real generation sweep (METERED), writes latency-empirical.json +// +// `--latency` runs `--latency-trials` (default 3) streaming generations per +// (model, format) cell with max_tokens=200. Cost scales linearly with the +// number of cells; respect your `MAX_SPEND_USD` env or use `--filter`. + import { readFile, readdir, writeFile } from 'node:fs/promises'; import { dirname, join } from 'node:path'; import { fileURLToPath } from 'node:url'; @@ -6,6 +18,7 @@ import { KNOWN_MODELS, RATES_VERSION, allFormats, + measureLatency, tokenize, tokenizeEmpirical, } from '@tokenometer/core'; @@ -14,6 +27,7 @@ const HERE = dirname(fileURLToPath(import.meta.url)); const PROMPTS_DIR = join(HERE, 'prompts'); const RESULTS_PATH = join(HERE, 'results.json'); const EMPIRICAL_PATH = join(HERE, 'empirical.json'); +const LATENCY_PATH = join(HERE, 'latency-empirical.json'); const loadPrompts = async () => { const files = (await readdir(PROMPTS_DIR)).filter((f) => !f.startsWith('.')).sort(); @@ -136,8 +150,11 @@ const compareResults = async (results) => { const readEnv = () => { const env = {}; if (process.env.ANTHROPIC_API_KEY) env.anthropicApiKey = process.env.ANTHROPIC_API_KEY; + if (process.env.COHERE_API_KEY) env.cohereApiKey = process.env.COHERE_API_KEY; const googleKey = process.env.GOOGLE_API_KEY ?? process.env.GEMINI_API_KEY; if (googleKey) env.googleApiKey = googleKey; + if (process.env.MISTRAL_API_KEY) env.mistralApiKey = process.env.MISTRAL_API_KEY; + if (process.env.OPENAI_API_KEY) env.openaiApiKey = process.env.OPENAI_API_KEY; return env; }; @@ -225,10 +242,65 @@ const summarizeByProvider = (rows) => { return summary; }; +const parseLatencyTrials = (args) => { + const idx = args.indexOf('--latency-trials'); + if (idx === -1 || !args[idx + 1]) return 3; + const n = Number.parseInt(args[idx + 1], 10); + if (!Number.isFinite(n) || n < 1 || n > 10) { + throw new Error(`--latency-trials must be 1..10, got "${args[idx + 1]}"`); + } + return n; +}; + +const runLatencySweep = async (prompts, env, models, trials) => { + const formats = [...allFormats()]; + const out = {}; + let totalTrials = 0; + for (const [name, prompt] of Object.entries(prompts).sort()) { + process.stderr.write(`${name} ... `); + const byModel = {}; + for (const modelId of models) { + const byFormat = {}; + for (const format of formats) { + try { + const result = await measureLatency({ + env, + modelId, + prompt, + trials, + }); + byFormat[format] = { + mean: result.mean, + p50: result.p50, + p95: result.p95, + trials: result.trials, + }; + totalTrials += trials; + } catch (err) { + byFormat[format] = { error: err.message }; + } + } + byModel[modelId] = byFormat; + } + out[name] = byModel; + process.stderr.write('done\n'); + } + return { + formats, + generatedAt: new Date().toISOString(), + latency: out, + models, + schemaVersion: 1, + totalTrials, + trialsPerCell: trials, + }; +}; + const main = async () => { const args = process.argv.slice(2); const isRegenerate = args.includes('--regenerate'); const isEmpirical = args.includes('--empirical'); + const isLatency = args.includes('--latency'); const filter = parseModelFilter(args); const models = selectModels(filter); if (filter) { @@ -236,6 +308,30 @@ const main = async () => { } const prompts = await loadPrompts(); + if (isLatency) { + const env = readEnv(); + const trials = parseLatencyTrials(args); + if ( + !env.anthropicApiKey && + !env.googleApiKey && + !env.openaiApiKey && + !env.cohereApiKey && + !env.mistralApiKey + ) { + console.error( + 'Latency sweep needs at least one of ANTHROPIC_API_KEY / OPENAI_API_KEY / GOOGLE_API_KEY (or GEMINI_API_KEY) / COHERE_API_KEY / MISTRAL_API_KEY.', + ); + console.error( + 'Each trial is a metered ~200-token chat completion — use --filter to narrow scope.', + ); + return 1; + } + const result = await runLatencySweep(prompts, env, models, trials); + await writeFile(LATENCY_PATH, `${JSON.stringify(result, null, 2)}\n`, 'utf8'); + console.log(`\nWrote ${LATENCY_PATH} (${result.totalTrials} trials, ${trials} per cell).`); + return 0; + } + if (isEmpirical) { const env = readEnv(); if (!env.anthropicApiKey && !env.googleApiKey) { diff --git a/package-lock.json 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"packages/vscode/node_modules/@esbuild/sunos-x64": { "version": "0.24.2", "resolved": "https://registry.npmjs.org/@esbuild/sunos-x64/-/sunos-x64-0.24.2.tgz", "integrity": "sha512-hTdsW27jcktEvpwNHJU4ZwWFGkz2zRJUz8pvddmXPtXDzVKTTINmlmga3ZzwcuMpUvLw7JkLy9QLKyGpD2Yxig==", @@ -5636,7 +9332,7 @@ "node": ">=18" } }, - "packages/action/node_modules/@esbuild/win32-arm64": { + "packages/vscode/node_modules/@esbuild/win32-arm64": { "version": "0.24.2", "resolved": "https://registry.npmjs.org/@esbuild/win32-arm64/-/win32-arm64-0.24.2.tgz", "integrity": "sha512-LihEQ2BBKVFLOC9ZItT9iFprsE9tqjDjnbulhHoFxYQtQfai7qfluVODIYxt1PgdoyQkz23+01rzwNwYfutxUQ==", @@ -5653,7 +9349,7 @@ "node": ">=18" } }, - "packages/action/node_modules/@esbuild/win32-ia32": { + "packages/vscode/node_modules/@esbuild/win32-ia32": { "version": "0.24.2", "resolved": "https://registry.npmjs.org/@esbuild/win32-ia32/-/win32-ia32-0.24.2.tgz", "integrity": "sha512-q+iGUwfs8tncmFC9pcnD5IvRHAzmbwQ3GPS5/ceCyHdjXubwQWI12MKWSNSMYLJMq23/IUCvJMS76PDqXe1fxA==", @@ -5670,7 +9366,7 @@ "node": ">=18" } }, - "packages/action/node_modules/@esbuild/win32-x64": { + "packages/vscode/node_modules/@esbuild/win32-x64": { "version": "0.24.2", "resolved": "https://registry.npmjs.org/@esbuild/win32-x64/-/win32-x64-0.24.2.tgz", "integrity": "sha512-7VTgWzgMGvup6aSqDPLiW5zHaxYJGTO4OokMjIlrCtf+VpEL+cXKtCvg723iguPYI5oaUNdS+/V7OU2gvXVWEg==", @@ -5687,7 +9383,7 @@ "node": ">=18" } }, - "packages/action/node_modules/esbuild": { + "packages/vscode/node_modules/esbuild": { "version": "0.24.2", "resolved": "https://registry.npmjs.org/esbuild/-/esbuild-0.24.2.tgz", "integrity": "sha512-+9egpBW8I3CD5XPe0n6BfT5fxLzxrlDzqydF3aviG+9ni1lDC/OvMHcxqEFV0+LANZG5R1bFMWfUrjVsdwxJvA==", @@ -5728,40 +9424,6 @@ "@esbuild/win32-x64": "0.24.2" } }, - "packages/cli": { - "name": "tokenometer", - "version": "0.0.2", - "license": "MIT", - "dependencies": { - "@tokenometer/core": "0.0.2", - "image-size": "^2.0.2" - }, - "bin": { - "tokenometer": "dist/index.js" - }, - "devDependencies": { - "@types/node": "^22.10.5", - "typescript": "^5.7.2", - "vitest": "^3.0.0" - } - }, - "packages/core": { - "name": "@tokenometer/core", - "version": "0.0.2", - "license": "MIT", - "dependencies": { - "@anthropic-ai/sdk": "^0.95.0", - "@google/generative-ai": "^0.24.1", - "@tokenlens/models": "^1.3.0", - "gpt-tokenizer": "^3.4.0", - "tokenlens": "^1.3.1", - "yaml": "^2.8.4" - }, - "devDependencies": { - "typescript": "^5.7.2", - "vitest": "^3.0.0" - } - }, "packages/web": { "name": "@tokenometer/web", "version": "0.0.2", @@ -5771,7 +9433,8 @@ "@google/generative-ai": "^0.21.0", "@tokenometer/core": "0.0.2", "react": "^19.0.0", - "react-dom": "^19.0.0" + "react-dom": "^19.0.0", + "react-router-dom": "^7.15.0" }, "devDependencies": { "@tailwindcss/vite": "^4.0.0", diff --git a/packages/action/dist/index.cjs b/packages/action/dist/index.cjs index 1b03e6f..093a5f4 100644 --- a/packages/action/dist/index.cjs +++ b/packages/action/dist/index.cjs @@ -1909,10 +1909,10 @@ var require_Dicer = __commonJS({ var require_decodeText = __commonJS({ "../../node_modules/@fastify/busboy/lib/utils/decodeText.js"(exports2, module2) { "use strict"; - var utf8Decoder = new TextDecoder("utf-8"); + var utf8Decoder2 = new TextDecoder("utf-8"); var textDecoders = /* @__PURE__ */ new Map([ - ["utf-8", utf8Decoder], - ["utf8", utf8Decoder] + ["utf-8", utf8Decoder2], + ["utf8", utf8Decoder2] ]); function getDecoder(charset) { let lc; @@ -14485,7 +14485,7 @@ var require_util4 = __commonJS({ if (encoding === "failure") { encoding = "UTF-8"; } - return decode3(bytes, encoding); + return decode4(bytes, encoding); } case "ArrayBuffer": { const sequence = combineByteSequences(bytes); @@ -14502,7 +14502,7 @@ var require_util4 = __commonJS({ } } } - function decode3(ioQueue, encoding) { + function decode4(ioQueue, encoding) { const bytes = combineByteSequences(ioQueue); const BOMEncoding = BOMSniffing(bytes); let slice = 0; @@ -31379,14 +31379,14 @@ var require_base64 = __commonJS({ ); exports2.Coder = Coder; var stdCoder = new Coder(); - function encode4(data) { + function encode5(data) { return stdCoder.encode(data); } - exports2.encode = encode4; - function decode3(s) { + exports2.encode = encode5; + function decode4(s) { return stdCoder.decode(s); } - exports2.decode = decode3; + exports2.decode = decode4; var URLSafeCoder = ( /** @class */ function(_super) { @@ -32561,6 +32561,474 @@ var googleModels = { }; var google_default = googleModels; +// ../../node_modules/@tokenlens/models/dist/providers/mistral.js +var mistralModels = { + id: "mistral", + name: "Mistral", + npm: "@ai-sdk/mistral", + doc: "https://docs.mistral.ai/getting-started/models/", + env: ["MISTRAL_API_KEY"], + models: { + "pixtral-large-latest": { + id: "pixtral-large-latest", + name: "Pixtral Large", + attachment: true, + reasoning: false, + temperature: true, + tool_call: true, + knowledge: "2024-11", + release_date: "2024-11-01", + last_updated: "2024-11-04", + modalities: { + input: ["text", "image"], + output: ["text"] + }, + open_weights: true, + cost: { + input: 2, + output: 6 + }, + limit: { + context: 128e3, + output: 128e3 + } + }, + "open-mixtral-8x7b": { + id: "open-mixtral-8x7b", + name: "Mixtral 8x7B", + attachment: false, + reasoning: false, + temperature: true, + tool_call: true, + knowledge: "2024-01", + release_date: "2023-12-11", + last_updated: "2023-12-11", + modalities: { + input: ["text"], + output: ["text"] + }, + open_weights: true, + cost: { + input: 0.7, + output: 0.7 + }, + limit: { + context: 32e3, + output: 32e3 + } + }, + "codestral-latest": { + id: "codestral-latest", + name: "Codestral", + attachment: false, + reasoning: false, + temperature: true, + tool_call: true, + knowledge: "2024-10", + release_date: "2024-05-29", + last_updated: "2025-01-04", + modalities: { + input: ["text"], + output: ["text"] + }, + open_weights: true, + cost: { + input: 0.3, + output: 0.9 + }, + limit: { + context: 256e3, + output: 4096 + } + }, + "devstral-small-2505": { + id: "devstral-small-2505", + name: "Devstral Small 2505", + attachment: false, + reasoning: false, + temperature: true, + tool_call: true, + knowledge: "2025-05", + release_date: "2025-05-07", + last_updated: "2025-05-07", + modalities: { + input: ["text"], + output: ["text"] + }, + open_weights: true, + cost: { + input: 0.1, + output: 0.3 + }, + limit: { + context: 128e3, + output: 128e3 + } + }, + "devstral-medium-2507": { + id: "devstral-medium-2507", + name: "Devstral Medium", + attachment: false, + reasoning: false, + temperature: true, + tool_call: true, + knowledge: "2025-05", + release_date: "2025-07-10", + last_updated: "2025-07-10", + modalities: { + input: ["text"], + output: ["text"] + }, + open_weights: true, + cost: { + input: 0.4, + output: 2 + }, + limit: { + context: 128e3, + output: 128e3 + } + }, + "mistral-medium-2505": { + id: "mistral-medium-2505", + name: "Mistral Medium 3", + attachment: true, + reasoning: false, + temperature: true, + tool_call: true, + knowledge: "2025-05", + release_date: "2025-05-07", + last_updated: "2025-05-07", + modalities: { + input: ["text", "image"], + output: ["text"] + }, + open_weights: false, + cost: { + input: 0.4, + output: 2 + }, + limit: { + context: 131072, + output: 131072 + } + }, + "devstral-small-2507": { + id: "devstral-small-2507", + name: "Devstral Small", + attachment: false, + reasoning: false, + temperature: true, + tool_call: true, + knowledge: "2025-05", + release_date: "2025-07-10", + last_updated: "2025-07-10", + modalities: { + input: ["text"], + output: ["text"] + }, + open_weights: true, + cost: { + input: 0.1, + output: 0.3 + }, + limit: { + context: 128e3, + output: 128e3 + } + }, + "ministral-8b-latest": { + id: "ministral-8b-latest", + name: "Ministral 8B", + attachment: false, + reasoning: false, + temperature: true, + tool_call: true, + knowledge: "2024-10", + release_date: "2024-10-01", + last_updated: "2024-10-04", + modalities: { + input: ["text"], + output: ["text"] + }, + open_weights: true, + cost: { + input: 0.1, + output: 0.1 + }, + limit: { + context: 128e3, + output: 128e3 + } + }, + "magistral-medium-latest": { + id: "magistral-medium-latest", + name: "Magistral Medium", + attachment: false, + reasoning: true, + temperature: true, + tool_call: true, + knowledge: "2025-06", + release_date: "2025-03-17", + last_updated: "2025-03-20", + modalities: { + input: ["text"], + output: ["text"] + }, + open_weights: true, + cost: { + input: 2, + output: 5 + }, + limit: { + context: 128e3, + output: 16384 + } + }, + "pixtral-12b": { + id: "pixtral-12b", + name: "Pixtral 12B", + attachment: true, + reasoning: false, + temperature: true, + tool_call: true, + knowledge: "2024-09", + release_date: "2024-09-01", + last_updated: "2024-09-01", + modalities: { + input: ["text", "image"], + output: ["text"] + }, + open_weights: true, + cost: { + input: 0.15, + output: 0.15 + }, + limit: { + context: 128e3, + output: 128e3 + } + }, + "open-mistral-7b": { + id: "open-mistral-7b", + name: "Mistral 7B", + attachment: false, + reasoning: false, + temperature: true, + tool_call: true, + knowledge: "2023-12", + release_date: "2023-09-27", + last_updated: "2023-09-27", + modalities: { + input: ["text"], + output: ["text"] + }, + open_weights: true, + cost: { + input: 0.25, + output: 0.25 + }, + limit: { + context: 8e3, + output: 8e3 + } + }, + "magistral-small": { + id: "magistral-small", + name: "Magistral Small", + attachment: false, + reasoning: true, + temperature: true, + tool_call: true, + knowledge: "2025-06", + release_date: "2025-03-17", + last_updated: "2025-03-17", + modalities: { + input: ["text"], + output: ["text"] + }, + open_weights: true, + cost: { + input: 0.5, + output: 1.5 + }, + limit: { + context: 128e3, + output: 128e3 + } + }, + "mistral-medium-2508": { + id: "mistral-medium-2508", + name: "Mistral Medium 3.1", + attachment: true, + reasoning: false, + temperature: true, + tool_call: true, + knowledge: "2025-05", + release_date: "2025-08-12", + last_updated: "2025-08-12", + modalities: { + input: ["text", "image"], + output: ["text"] + }, + open_weights: false, + cost: { + input: 0.4, + output: 2 + }, + limit: { + context: 262144, + output: 262144 + } + }, + "open-mixtral-8x22b": { + id: "open-mixtral-8x22b", + name: "Mixtral 8x22B", + attachment: false, + reasoning: false, + temperature: true, + tool_call: true, + knowledge: "2024-04", + release_date: "2024-04-17", + last_updated: "2024-04-17", + modalities: { + input: ["text"], + output: ["text"] + }, + open_weights: true, + cost: { + input: 2, + output: 6 + }, + limit: { + context: 64e3, + output: 64e3 + } + }, + "mistral-medium-latest": { + id: "mistral-medium-latest", + name: "Mistral Medium", + attachment: false, + reasoning: false, + temperature: true, + tool_call: true, + knowledge: "2025-05", + release_date: "2025-05-07", + last_updated: "2025-05-10", + modalities: { + input: ["text", "image"], + output: ["text"] + }, + open_weights: true, + cost: { + input: 0.4, + output: 2 + }, + limit: { + context: 128e3, + output: 16384 + } + }, + "mistral-small-latest": { + id: "mistral-small-latest", + name: "Mistral Small", + attachment: false, + reasoning: false, + temperature: true, + tool_call: true, + knowledge: "2025-03", + release_date: "2024-09-01", + last_updated: "2024-09-04", + modalities: { + input: ["text", "image"], + output: ["text"] + }, + open_weights: true, + cost: { + input: 0.1, + output: 0.3 + }, + limit: { + context: 128e3, + output: 16384 + } + }, + "mistral-large-latest": { + id: "mistral-large-latest", + name: "Mistral Large", + attachment: false, + reasoning: false, + temperature: true, + tool_call: true, + knowledge: "2024-11", + release_date: "2024-11-01", + last_updated: "2024-11-04", + modalities: { + input: ["text"], + output: ["text"] + }, + open_weights: true, + cost: { + input: 2, + output: 6 + }, + limit: { + context: 131072, + output: 16384 + } + }, + "mistral-nemo": { + id: "mistral-nemo", + name: "Mistral Nemo", + attachment: false, + reasoning: false, + temperature: true, + tool_call: true, + knowledge: "2024-07", + release_date: "2024-07-01", + last_updated: "2024-07-01", + modalities: { + input: ["text"], + output: ["text"] + }, + open_weights: true, + cost: { + input: 0.15, + output: 0.15 + }, + limit: { + context: 128e3, + output: 128e3 + } + }, + "ministral-3b-latest": { + id: "ministral-3b-latest", + name: "Ministral 3B", + attachment: false, + reasoning: false, + temperature: true, + tool_call: true, + knowledge: "2024-10", + release_date: "2024-10-01", + last_updated: "2024-10-04", + modalities: { + input: ["text"], + output: ["text"] + }, + open_weights: true, + cost: { + input: 0.04, + output: 0.04 + }, + limit: { + context: 128e3, + output: 128e3 + } + } + } +}; +var mistral_default = mistralModels; + // ../../node_modules/@tokenlens/models/dist/providers/openai.js var openaiModels = { id: "openai", @@ -41291,474 +41759,6 @@ var lmstudioModels = { }; var lmstudio_default = lmstudioModels; -// ../../node_modules/@tokenlens/models/dist/providers/mistral.js -var mistralModels = { - id: "mistral", - name: "Mistral", - npm: "@ai-sdk/mistral", - doc: "https://docs.mistral.ai/getting-started/models/", - env: ["MISTRAL_API_KEY"], - models: { - "pixtral-large-latest": { - id: "pixtral-large-latest", - name: "Pixtral Large", - attachment: true, - reasoning: false, - temperature: true, - tool_call: true, - knowledge: "2024-11", - release_date: "2024-11-01", - last_updated: "2024-11-04", - modalities: { - input: ["text", "image"], - output: ["text"] - }, - open_weights: true, - cost: { - input: 2, - output: 6 - }, - limit: { - context: 128e3, - output: 128e3 - } - }, - "open-mixtral-8x7b": { - id: "open-mixtral-8x7b", - name: "Mixtral 8x7B", - attachment: false, - reasoning: false, - temperature: true, - tool_call: true, - knowledge: "2024-01", - release_date: "2023-12-11", - last_updated: "2023-12-11", - modalities: { - input: ["text"], - output: ["text"] - }, - open_weights: true, - cost: { - input: 0.7, - output: 0.7 - }, - limit: { - context: 32e3, - output: 32e3 - } - }, - "codestral-latest": { - id: "codestral-latest", - name: "Codestral", - attachment: false, - reasoning: false, - temperature: true, - tool_call: true, - knowledge: "2024-10", - release_date: "2024-05-29", - last_updated: "2025-01-04", - modalities: { - input: ["text"], - output: ["text"] - }, - open_weights: true, - cost: { - input: 0.3, - output: 0.9 - }, - limit: { - context: 256e3, - output: 4096 - } - }, - "devstral-small-2505": { - id: "devstral-small-2505", - name: "Devstral Small 2505", - attachment: false, - reasoning: false, - temperature: true, - tool_call: true, - knowledge: "2025-05", - release_date: "2025-05-07", - last_updated: "2025-05-07", - modalities: { - input: ["text"], - output: ["text"] - }, - open_weights: true, - cost: { - input: 0.1, - output: 0.3 - }, - limit: { - context: 128e3, - output: 128e3 - } - }, - "devstral-medium-2507": { - id: "devstral-medium-2507", - name: "Devstral Medium", - attachment: false, - reasoning: false, - temperature: true, - tool_call: true, - knowledge: "2025-05", - release_date: "2025-07-10", - last_updated: "2025-07-10", - modalities: { - input: ["text"], - output: ["text"] - }, - open_weights: true, - cost: { - input: 0.4, - output: 2 - }, - limit: { - context: 128e3, - output: 128e3 - } - }, - "mistral-medium-2505": { - id: "mistral-medium-2505", - name: "Mistral Medium 3", - attachment: true, - reasoning: false, - temperature: true, - tool_call: true, - knowledge: "2025-05", - release_date: "2025-05-07", - last_updated: "2025-05-07", - modalities: { - input: ["text", "image"], - output: ["text"] - }, - open_weights: false, - cost: { - input: 0.4, - output: 2 - }, - limit: { - context: 131072, - output: 131072 - } - }, - "devstral-small-2507": { - id: "devstral-small-2507", - name: "Devstral Small", - attachment: false, - reasoning: false, - temperature: true, - tool_call: true, - knowledge: "2025-05", - release_date: "2025-07-10", - last_updated: "2025-07-10", - modalities: { - input: ["text"], - output: ["text"] - }, - open_weights: true, - cost: { - input: 0.1, - output: 0.3 - }, - limit: { - context: 128e3, - output: 128e3 - } - }, - "ministral-8b-latest": { - id: "ministral-8b-latest", - name: "Ministral 8B", - attachment: false, - reasoning: false, - temperature: true, - tool_call: true, - knowledge: "2024-10", - release_date: "2024-10-01", - last_updated: "2024-10-04", - modalities: { - input: ["text"], - output: ["text"] - }, - open_weights: true, - cost: { - input: 0.1, - output: 0.1 - }, - limit: { - context: 128e3, - output: 128e3 - } - }, - "magistral-medium-latest": { - id: "magistral-medium-latest", - name: "Magistral Medium", - attachment: false, - reasoning: true, - temperature: true, - tool_call: true, - knowledge: "2025-06", - release_date: "2025-03-17", - last_updated: "2025-03-20", - modalities: { - input: ["text"], - output: ["text"] - }, - open_weights: true, - cost: { - input: 2, - output: 5 - }, - limit: { - context: 128e3, - output: 16384 - } - }, - "pixtral-12b": { - id: "pixtral-12b", - name: "Pixtral 12B", - attachment: true, - reasoning: false, - temperature: true, - tool_call: true, - knowledge: "2024-09", - release_date: "2024-09-01", - last_updated: "2024-09-01", - modalities: { - input: ["text", "image"], - output: ["text"] - }, - open_weights: true, - cost: { - input: 0.15, - output: 0.15 - }, - limit: { - context: 128e3, - output: 128e3 - } - }, - "open-mistral-7b": { - id: "open-mistral-7b", - name: "Mistral 7B", - attachment: false, - reasoning: false, - temperature: true, - tool_call: true, - knowledge: "2023-12", - release_date: "2023-09-27", - last_updated: "2023-09-27", - modalities: { - input: ["text"], - output: ["text"] - }, - open_weights: true, - cost: { - input: 0.25, - output: 0.25 - }, - limit: { - context: 8e3, - output: 8e3 - } - }, - "magistral-small": { - id: "magistral-small", - name: "Magistral Small", - attachment: false, - reasoning: true, - temperature: true, - tool_call: true, - knowledge: "2025-06", - release_date: "2025-03-17", - last_updated: "2025-03-17", - modalities: { - input: ["text"], - output: ["text"] - }, - open_weights: true, - cost: { - input: 0.5, - output: 1.5 - }, - limit: { - context: 128e3, - output: 128e3 - } - }, - "mistral-medium-2508": { - id: "mistral-medium-2508", - name: "Mistral Medium 3.1", - attachment: true, - reasoning: false, - temperature: true, - tool_call: true, - knowledge: "2025-05", - release_date: "2025-08-12", - last_updated: "2025-08-12", - modalities: { - input: ["text", "image"], - output: ["text"] - }, - open_weights: false, - cost: { - input: 0.4, - output: 2 - }, - limit: { - context: 262144, - output: 262144 - } - }, - "open-mixtral-8x22b": { - id: "open-mixtral-8x22b", - name: "Mixtral 8x22B", - attachment: false, - reasoning: false, - temperature: true, - tool_call: true, - knowledge: "2024-04", - release_date: "2024-04-17", - last_updated: "2024-04-17", - modalities: { - input: ["text"], - output: ["text"] - }, - open_weights: true, - cost: { - input: 2, - output: 6 - }, - limit: { - context: 64e3, - output: 64e3 - } - }, - "mistral-medium-latest": { - id: "mistral-medium-latest", - name: "Mistral Medium", - attachment: false, - reasoning: false, - temperature: true, - tool_call: true, - knowledge: "2025-05", - release_date: "2025-05-07", - last_updated: "2025-05-10", - modalities: { - input: ["text", "image"], - output: ["text"] - }, - open_weights: true, - cost: { - input: 0.4, - output: 2 - }, - limit: { - context: 128e3, - output: 16384 - } - }, - "mistral-small-latest": { - id: "mistral-small-latest", - name: "Mistral Small", - attachment: false, - reasoning: false, - temperature: true, - tool_call: true, - knowledge: "2025-03", - release_date: "2024-09-01", - last_updated: "2024-09-04", - modalities: { - input: ["text", "image"], - output: ["text"] - }, - open_weights: true, - cost: { - input: 0.1, - output: 0.3 - }, - limit: { - context: 128e3, - output: 16384 - } - }, - "mistral-large-latest": { - id: "mistral-large-latest", - name: "Mistral Large", - attachment: false, - reasoning: false, - temperature: true, - tool_call: true, - knowledge: "2024-11", - release_date: "2024-11-01", - last_updated: "2024-11-04", - modalities: { - input: ["text"], - output: ["text"] - }, - open_weights: true, - cost: { - input: 2, - output: 6 - }, - limit: { - context: 131072, - output: 16384 - } - }, - "mistral-nemo": { - id: "mistral-nemo", - name: "Mistral Nemo", - attachment: false, - reasoning: false, - temperature: true, - tool_call: true, - knowledge: "2024-07", - release_date: "2024-07-01", - last_updated: "2024-07-01", - modalities: { - input: ["text"], - output: ["text"] - }, - open_weights: true, - cost: { - input: 0.15, - output: 0.15 - }, - limit: { - context: 128e3, - output: 128e3 - } - }, - "ministral-3b-latest": { - id: "ministral-3b-latest", - name: "Ministral 3B", - attachment: false, - reasoning: false, - temperature: true, - tool_call: true, - knowledge: "2024-10", - release_date: "2024-10-01", - last_updated: "2024-10-04", - modalities: { - input: ["text"], - output: ["text"] - }, - open_weights: true, - cost: { - input: 0.04, - output: 0.04 - }, - limit: { - context: 128e3, - output: 128e3 - } - } - } -}; -var mistral_default = mistralModels; - // ../../node_modules/@tokenlens/models/dist/providers/modelscope.js var modelscopeModels = { id: "modelscope", @@ -49445,9 +49445,10 @@ function getContext2(args) { var CATALOG = { anthropic: anthropic_default, google: google_default, + mistral: mistral_default, openai: openai_default }; -var PROVIDERS = ["anthropic", "google", "openai"]; +var PROVIDERS = ["anthropic", "google", "mistral", "openai"]; var LOCAL_OVERRIDES = { "claude-haiku-4-5": { rate: { cachedInputPer1k: 1e-4, inputPer1k: 1e-3, outputPer1k: 5e-3 }, @@ -49478,6 +49479,26 @@ var LOCAL_OVERRIDES = { pricingSource: "local", provider: "anthropic" } + }, + "command-r": { + rate: { inputPer1k: 15e-5, outputPer1k: 6e-4 }, + descriptor: { + contextWindow: 128e3, + id: "command-r", + maxOutputTokens: 4096, + pricingSource: "local", + provider: "cohere" + } + }, + "command-r-plus": { + rate: { inputPer1k: 25e-4, outputPer1k: 0.01 }, + descriptor: { + contextWindow: 128e3, + id: "command-r-plus", + maxOutputTokens: 4096, + pricingSource: "local", + provider: "cohere" + } } }; var PREVIEW_ID_PATTERN = /(^|-)preview(-|$)/i; @@ -58716,6 +58737,14 @@ var GptEncoding = class _GptEncoding { var api = GptEncoding.getEncodingApi("o200k_base", () => o200k_base_default); var { decode, decodeAsyncGenerator, decodeGenerator, encode: encode2, encodeGenerator, isWithinTokenLimit, countTokens, encodeChat, encodeChatGenerator, vocabularySize, setMergeCacheSize, clearMergeCache, estimateCost: estimateCost2 } = api; +// ../core/dist/tokenize-cohere.js +var COHERE_HEURISTIC_CHARS_PER_TOKEN = 4; +var cohereCount = (text) => ({ + approximate: true, + tokens: Math.ceil(text.length / COHERE_HEURISTIC_CHARS_PER_TOKEN), + tokenizer: "heuristic" +}); + // ../../node_modules/gpt-tokenizer/esm/bpeRanks/cl100k_base.js var c02 = ["!", '"', "#", "$", "%", "&", "'", "(", ")", "*", "+", ",", "-", ".", "/", "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", ":", ";", "<", "=", ">", "?", "@", "A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z", "[", "\\", "]", "^", "_", "`", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z", "{", "|", "}", "~", [161], [162], [163], [164], [165], [166], [167], [168], [169], [170], [171], [172], [174], [175], [176], [177], [178], [179], [180], [181], [182], [183], [184], [185], 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".ge", "714", " Rick", " Utah", "got", "onical", " Scroll", " Sciences", " jug", " ampl", "enti", "LEFT", " tabs", " enormous", ".getKey", "locate", ".EX", ".storage", ".We", " toast", " Additionally", "882", " NOW", "547", "_UPDATE", " transferred", "tha", ".Display", "_ui", "IDEO", " meaningful", " Moscow", ",this", " Victoria", "\u6539", " \u041F", ".stack", " Barn", "paredStatement", ":string", " bij", " STATE", " employers", " input", "(|", " lex", "invoke", " num", "++,", "atial", "orses", " fork", "_txt", " Antonio", " (<", "averse", " devast", "\u3000", ".Dec", " Gard", "/ui", ".%", "tri", " rolled", "ValuePair", "itten", " Ther", " vrou", " Flow", " Finance", " Comb", "HC", ".setVisible", "isl", " pk", "773", " upset", "(raw", " Vice", "eatures", " Lang", "029", "Looking", "767", " AST", " trips", " Justin", "browser", `="'.$`, ".vertices", "821", "-co", "}/{", " ?,", " Domin", " Belg", '"<', " suppose", "addy", " walks", "688", "ERRU", "_filters", "Preferred", "scene", "\u0435\u0441", " Affairs", ' "#{', " onSubmit", " stocks", "/view", "gree", "-get", "903", "hit", "Jo", ".getC", "725", "Initialized", "\u0442\u0438", "cuts", "(Type", " Agreement", " Vietnam", " /*!", " pizza", "-view", "_em", " lhs", " muy", " Ident", " Friends", "061", " abund", "_AD", ".timestamp", "-'", " duplicate", " hunting", " regulatory", "iao", "amous", " Entertainment", "[A", "iatric", "_CLIENT", " Kids", "/pkg", "Break", ")));\n\n", " Shape", " relating", "Interrupt", "ableOpacity", "embre", " mystery", " journalists", "ritable", ".Link", " stopping", "CRET", ".DB", " popularity", " gew", " impr", "setValue", "FLAG", " max", " bake", "wy", " Economic", " encontr", " fname", "/de", "Rank", " bugs", ".sm", " median", "DOWN", " Sure", "AtIndex", " Dick", " (__", ".delta", "Fr", " suggesting", " RecyclerView", ",e", "START", "/****************************************************************************", "xford", " receipt", "CLAIM", "readonly", "968", " engaging", "619", "Ca", "asma", " ensuring", "English", " Vancouver", "hyth", " purchasing", " PI", ".word", "(sp", ".home", ":def", " gig", "574", "671", " Ve", "forum", " Mitch", "Bay", "_FL", "651", " soll", "577", "_columns", " minority", "bird", " handed", "SSL", "STAT", " nervous", [131, 189], " filePath", "CREATE", "Aw", " pens", "835", "seed", " Compute", "olk", "594", " Asset", "reach", "'),\r\n", "navigation", "LF", "/util", " Pub", [32, 226, 148], "cion", "##\n", "072", "III", "TagName", " amid", "permission", "ifiable", "xFFFFFFFF", "\u043D\u0438", ".Buffer", "_irq", "dark", " retval", ".fire", "production", ".listen", " Weather", " buyers", ".ne", "erp", " Pent", "699", " welfare", " pageSize", " Stadium", "erta", " lev", "ampa", "Pager", "665", " charging", " Netflix", "|null", "_random", ".xpath", " stere", " ISIS", "ponses", "(loc", "566", "eyond", " Official", "657", " Maryland", "DataType", "_par", "{},", " Enjoy", "727", "_SHIFT", " Awards", "_ENTRY", " seemingly", "enticate", " hearts", "583", "_;\n\n", " HIV", " individ", " Flag", "_ctrl", " Callback", ",z", " GPU", " obj", " Phoenix", " BUS", "907", " rubber", "_AUTH", " Solutions", "(location", "Variables", ".setEnabled", "_high", "WO", "Gesture", " retry", " objectForKey", "alloween", " mos", " Cele", " ikke", "(cell", " MODE", "rena", " describing", "641", " phi", " rd", " deserve", " wheels", "\u5E02", " critics", "755", "Namespace", " Fra", " \n\n\n\n", " alla", " requiring", "\u671F", "utation", " delayed", " administrative", " bay", ".hidden", "Tex", "051", " boundaries", " ]);\n\n", " Following", "~/", "Fi", "_conv", "_TITLE", " desde", "ICollectionView", "Alias", " bite", "patient", "_COMMAND", "Completed", " elif", "(<", "Business", " Pool", " pursue", " Ban", "_steps", "_DECL", "umble", " combo", " Layer", ".xr", " dup", "---------", "628", " modifier", "rob", "rez", "696", " athletes", "Used", "wear", "815", " legitimate", ' "\n\n', " hv", "Std", "037", " Hold", " surviv", " Alliance", " Early", "778", "Behavior", "(font", "/libs", " rectangle", " singer", " amp", "EqualTo", ' "."', " girlfriend", [229, 177], "linear", "observ", " pi\xF9", " complement", "WithValue", "(password", "take", "Blank", " Compar", `'",`, "_policy", "mongoose", "_FAILED", ".report", "Ratio", ".PerformLayout", "747", "usable", "mers", "_render", "PEED", "772", " lesb", " E", "_tool", " ladies", "908", "\u043E\u0441", "))))\n", ";;;;", ".dot", " nest", "peak", "ukkit", "eca", "_SW", " &(", " Oklahoma", " banking", "569", " Nintendo", "752", " reproduce", "_elements", "_mac", "proxy", " remarkable", "}/${", " outs", ".hasNext", "MODE", "658", " anime", ".conn", "Unique", "Dom", " importantly", "itty", " juice", "Tw", " Partners", " attacking", " portable", "amiento", ".PictureBox", ".gen", " optimal", "582", " recre", " journalist", " Extract", " Moreover", " marginTop", ".Ap", " firing", "NaN", " template", "\u0430\u0434", ".En", " defence", " Tel", "ilen", "jan", "=data", " Url", " Reuters", "(total", " Fifth", " essays", " interpretation", " charity", " Rules", " subsection", "styled", "azer", "lags", "LIST", " uploaded", " trash", " registr", " seller", ">';\r\n", " startTime", [231, 153], "sy", "(HttpServletRequest", " trap", "GC", " embedded", " surrounded", "816", "imits", "TX", "ylinder", "685", " Fal", " sentences", " Ja", "IFICATION", "weapon", "ovation", " coat", " interpol", " lips", " Ky", " vectors", "_am", " intake", ".world", " inbox", " MAC", "_ab", "(nameof", "633", " entert", " gathering", " SIM", "++.", "nya", "'}}", " UPDATE", " pac", "(html", " Sant", "iating", " Ideas", " spray", " Hart", " verification", "adesh", "/modules", " Mind", " SizedBox", " shelter", " heroes", "atty", " certified", "sj", " \xEAtre", "\u0142o", " publishing", " Malays", ".getUser", " Provider", " LinkedList", " Bor", "ROUND", "did", "tain", "pire", " Jenn", "tel", "ande", "757", "_front", " McG", "TestMethod", "\u0E2D", " occasionally", " Wales", " exercises", " \u0412", "045", "-plus", " validator", " prayer", "LATED", "_author", " labour", "++\n", "-equiv", " GPL", " facebook", "simple", "gly", "Processor", "ipy", "744", " *>", "648", " cleared", " Push", "858", " penis", "Structure", "lij", " Morgan", " handful", '".\n', "984", "|\\", " ********************************", " Aqu", "584", "_IC", ".loads", " meter", " Marine", "::{", " TS", "776", " Arrays", ".Title", "GRAM", "termin", " coinc", "Else", "_states", "-run", "members", "782", "astro", "066", " onPress", " beings", " abandoned", " taxp", "owners", ".mode", " diagnosis", " _\n", " Knight", " A", " observe", "),'", "823", '!")\n', " Para", " variation", "(False", " Anti", " gri", " homeless", "?v", " bez", ".Server", "release", " Patri", " chars", " ranking", "activation", "581", " wides", "qr", ".Sql", "acular", " Bot", "_sync", " happiness", " volunteers", "877", " sits", "/<", "[e", "(fileName", " capac", "832", " Maria", "father", " gram", "*i", " caso", "_draw", " Raw", " Iterator", "664", " Padding", "924", "PD", "BOX", " SPECIAL", " fecha", " vide", " Leader", "\u4EE5", '$(".', " diameter", " mild", "745", " rocks", "appings", "048", "directory", "557", ".flush", " Jess", "UNIT", " Pear", " mandatory", "Sur", "qt", " streams", " cooperation", " Sac", " cheaper", " ch", "animation", "fare", "(height", "(True", "NY", " wrest", " polls", " encountered", " Marketable", "_PASSWORD", "716", "_SELECT", " Arabia", "_clock", " voy", " \u0438\u0437", " stir", "isible", "-effect", ".created", " toys", " Tradable", " rust", " strcpy", "_timestamp", " talented", ",null", " Jobs", " Portland", " weakness", "Throw", " Angel", "\u4FEE", "754", " uncert", "\uFF09\n", " \uC774", "Which", " [-]:", "Something", " convicted", "kle", "edium", " branches", " bases", [231, 174], " complexity", " Fig", ".reshape", "$db", "736", "_CONST", " Tes", ".runtime", " deny", " BSD", " kr", "hatt", " Static", " universities", "Replace", " drove", " adoles", "_plugin", " LGBT", " tex", "duction", "751", "799", "EDI", " Ted", "_URI", " reception", "arten", ".Single", "rice", "scious", "843", "_bg", " wages", " Servlet", "UILayout", " formatted", ".Mod", "'\n", "-fold", [230, 138], " Better", ' "\\<', "spacing", " furnished", "913", "oser", "]}\n", ' $"', "pull", ".Post", "919", "(ip", [151, 143], ".front", "nte", " FM", "guid", "844", " negotiations", "agonal", "934", " tremend", "ungeon", "Adv", "carousel", "\xDFe", "_DESC", " hammer", "\u1EAD", " \n\n", "-core", "-service", " corners", " SF", "pred", ">A", " JLabel", " romantic", " testimony", "osc", " Generation", "asures", "_internal", " prints", " ])\n", " Cleveland", "repo", "Disc", "677", "762", ' ">\n', "\uFFFD\uFFFD\uFFFD\uFFFD", " nearest", "591", "_tb", "(require", "EOF", "-child", " budd", ".XtraEditors", "alties", "723", '\\":\\"', "Words", "917", " locally", " purchases", "695", "Drawer", "extract", " execut", "}'.", "userdata", " focuses", "-minute", "764", " Publish", "ogo", " mountains", "Bot", "}>{", " tension", "rod", "mesh", " transformed", ",R", "()}\n", ".long", " gorgeous", " Schedule", " oldest", " subprocess", "(IN", "yect", " Cooper", "arness", " Monitor", ".part", "972", " NBC", "668", " cotton", " hol", "726", " rgba", " Bio", "Continue", "Pod", " participating", "clusions", "(ByVal", "734", "\xEC", " HOW", "_setopt", " accompanying", "091", "aton", " /\\", " Authentication", "i\xE9n", " Barack", "/*.", " eager", " Cancel", "$", "OLEAN", "OKIE", "IBILITY", "UAGE", " Survey", "071", " resign", "wing", " secrets", " chips", "JSONObject", "Desktop", "596", "_SYMBOL", "(resource", " \n", " newest", "uli", " desert", " dip", " Pow", " equation", " possibilities", " Fed", "osph", " [%", " bubble", "etherlands", "793", " cement", ".auto", "_AN", "\u2019.", "selection", " Bond", "988", "Den", "-O", ".getType", "896", ".Window", "pres", " swinger", '"})\n', " pip", " mice", " compound", "-plugin", "iko", " centuries", "icular", "-inline", " key", ">\\<", "ENSION", " [\r\n", " precisely", " \xE9t\xE9", " Past", " Cambridge", "-full", " analyze", " Steven", " nem", "due", "oren", " muscles", "ijing", "852", "/-", " Kennedy", "597", "RM", "ossible", " actress", " dolor", "914", "\u5F55", "Need", ".toggle", " Race", "wers", ".material", " Due", " Pel", "#print", " independence", "exus", "Shadow", " encoder", "(level", " Swift", ".doc", "_selection", "952", " serialVersionUID", "945", "Labels", " performances", ".Tag", " NHL", "izen", "/UIKit", "991", "_CONTROL", " earnings", "975", " Alt", "_HANDLE", "Ctx", " persu", " tran", [231, 168], "_CHANNEL", " satisfaction", " GP", "769", "iox", "mitt", "lando", " pig", "inals", "\xEAncia", "731", "Surface", " UUID", " beneficial", " sequences", " memset", " magical", "\xAB", " worn", "ASC", "popup", "COMP", "_before", "eness", "Ui", "Les", ".require", ".Serializable", "addGap", " authorization", "085", ".pyplot", "urray", "latitude", "845", "frames", "ajs", " compass", " observations", "_sup", ".environ", " triple", " Ruby", " drain", "_FILTER", "San", "UMP", "NullException", " Gab", "owe", " Turkish", "_sequence", " Grant", "uela", " wo", " cube", "iq", " disorders", " extraordinary", " ctrl", " Seq", "entr", "865", " sanctions", "949", "utsch", "Reports", " inherit", "Period", " photography", " Framework", " specialist", " ?\n\n", "_selected", ".Player", " allocation", "(account", " structural", "vable", "-offset", ".AppCompatActivity", "\u0430\u043C", ".AddWithValue", " icons", " shutdown", "_low", " Compare", " Ce", "=head", "lam", ".predict", "_DEC", " Sleep", " Gratis", " suggestion", " DEL", "caff", "avirus", "Nothing", [158, 139], " widespread", " mechanisms", " textAlign", "occup", " Rail", ":NS", " fiber", " mk", " vintage", "-long", ".reduce", ".Entities", "(record", " pleasant", "FRING", ".Cells", "OTT", " elseif", "649", "724", "_confirm", " ViewGroup", "sym", " pray", " suspected", "Contains", "983", " borders", " componentDid", "ASSERT", " infinite", "-order", " hello", " Grade", ".currentTimeMillis", "apolis", "zh", " Object", ":\\\\", "HO", "valuation", " vocab", "719", " coupon", "atabases", ".GetType", "Learn", "792", ']="', " Gary", "otive", " ash", " bib", "XXXX", " balanced", "VALUE", " Nat", "_Ad", "<", " fool", " esk", ".Null", " Dies", "_OUTPUT", "_TYPED", " painted", "673", "735", " sophistic", " Bear", "*n", "_PACK", " delivering", " COUNT", "\u5355", " jeg", "-car", "fname", " ranging", "848", " Neg", "/******/", " CHAR", " ultra", "Grad", "=t", " judges", " Dise", "anners", "985", "891", "861", " scal", "_cal", " CONNECTION", "_embed", "(fn", " Craft", "047", " Pas", '")->', ".convert", ".resource", " STATUS", "\xF4ng", " Tit", " classroom", " Architect", " Kings", " steady", "/*!\n", " Gene", ')";\n', "icia", "stan", " Construction", "umper", "951", "wc", " CBS", "inging", "-party", "(driver", "MARK", "082", " nested", "eward", " dependency", " males", "928", " ONE", " Production", "][$", [227, 131, 188, 227, 131], "_LOAD", " Bol", "elry", "831", [160, 233, 153, 164], " Require", " placing", "xxx", "CALE", " thumb", "824", "Choose", " prototype", "VOID", " lesbian", "741", " traits", "Sharp", " consume", "Truth", " actionPerformed", " Environmental", " Dean", " estado", "same", " numeric", " transit", ".Email", "-side", "_RUN", " Village", "_OPEN", [232, 166], ".rem", "-warning", "anya", "PropertyChanged", " (!_", "(check", "ilia", " Soft", "steps", " Madrid", "MemoryWarning", " handlers", " experiencing", " inspect", "buttons", "ReceiveMemoryWarning", "chemy", "Links", " urllib", ".SystemColors", " Eigen", " punishment", ":UIControl", "bara", "-set", " }\r\n\r\n\r\n", " tolerance", " interfaces", ".redirect", "ighbors", "csrf", "_background", ".Utils", "_HT", "692", " Interest", "imos", " grants", "083", " examined", "\u0414", " cf", "forge", "backs", " Objects", "_sent", ".entry", " THEN", "ellido", "cia", ",res", "659", "681", "/stdc", ".nd", "(Int", " Authors", " AppCompatActivity", "'{", " medi", "Music", "igm", "ceipt", " auss", " targeting", " Keys", "hn", ":]\n", " mineral", "\xEE", ".ca", "761", "omed", " sheets", " camb", " deadly", ".inject", "(unit", " Selection", ".gms", "(connection", ' $("', "\xE9mon", " Currently", "pte", "_paths", "847", "leaf", " implications", "posal", "\u4F4D", "[/", "ancia", [233, 155], "mul", "cie", " geile", "679", "imals", "UIView", " surre", "serialize", "ISO", " arbitrary", " sockaddr", ".fn", " Merc", " casting", "KeyDown", " newValue", "opens", "717", "Todo", " flexibility", " ", "Velocity", "\xFAn", "rowing", " computed", "`)\n", "statement", " ri", "_cart", "Low", "transfer", ".nav", " grave", " Door", " alert", "691", "698", ".subscribe", "-profile", " base", " \u2212", "__\n\n", " engineers", " explosion", " dari", "682", " Log", "onal", " isolated", "{i", " Msg", "Future", " racist", "-wrap", " Vers", "borg", "ISION", [32, 209, 128, 208, 176, 208], " Yan", "836", "initWith", " nomin", "(empty", "\xEDn", "\u30A4", " width", " chamber", "/ajax", "EMP", "093", " neces", "ivos", "logic", "*)&", "cripts", "976", "RowAt", "053", "iblings", " ears", " computing", " maker", " Neither", "breadcrumb", " serialize", " Within", " dell", "_TRACE", "092", "=a", " wishes", "-inch", " Dor", " innocent", " Dol", " intens", "forced", "054", " BIT", " photographs", " casa", " Len", "\\Framework", ".Simple", " dear", "895", ")/(", "ippi", " owns", "Players", " proposals", ".pi", "usalem", "Damage", " calories", " Creative", " [$", " //\r\n", "786", "AndView", "\xE8me", ".custom", "_factory", "commands", "_look", " strcmp", "YN", "aired", " audit", "\u043E\u0441\u0442", " Reverse", "ropriate", "etics", "'; @@ -58759,14 +58788,352 @@ var cl100k_base_default = bpe2; var api2 = GptEncoding.getEncodingApi("cl100k_base", () => cl100k_base_default); var { decode: decode2, decodeAsyncGenerator: decodeAsyncGenerator2, decodeGenerator: decodeGenerator2, encode: encode3, encodeGenerator: encodeGenerator2, isWithinTokenLimit: isWithinTokenLimit2, countTokens: countTokens2, encodeChat: encodeChat2, encodeChatGenerator: encodeChatGenerator2, vocabularySize: vocabularySize2, setMergeCacheSize: setMergeCacheSize2, clearMergeCache: clearMergeCache2, estimateCost: estimateCost3 } = api2; +// ../../node_modules/mistral-tokenizer-js/mistral-tokenizer.js +var mistralTokenizer = {}; +if (typeof window !== "undefined") { + window.mistralTokenizer = mistralTokenizer; +} +var base64decode = function(encodedString) { + return atob(encodedString); +}; +var getMergeIdentifierString = function(firstTokenId, secondTokenId) { + return mistralTokenizer.vocabById[firstTokenId] + " " + mistralTokenizer.vocabById[secondTokenId]; +}; +var decompressMerges = function(merges_binary2) { + const byteArrayString = base64decode(merges_binary2); + const byteArray = new Uint8Array(byteArrayString.length); + for (let i = 0; i < byteArrayString.length; i++) { + byteArray[i] = byteArrayString.charCodeAt(i); + } + const tokenIds = []; + for (let i = 0; i < byteArray.length; i += 2) { + const byte1 = byteArray[i]; + const byte2 = byteArray[i + 1]; + const tokenId = byte1 + (byte2 << 8); + tokenIds.push(tokenId); + } + const merges = /* @__PURE__ */ new Map(); + for (let i = 0; i < tokenIds.length; i += 2) { + const id1 = tokenIds[i]; + const id2 = tokenIds[i + 1]; + const mergeIdentifierString = getMergeIdentifierString(id1, id2); + merges.set(mergeIdentifierString, i + 1); + } + return merges; +}; +var decodeVocabulary = function(vocab_base642) { + const byteArray = Uint8Array.from(base64decode(vocab_base642), (c) => c.charCodeAt(0)); + const textDecoder2 = new TextDecoder("utf-8"); + return textDecoder2.decode(byteArray).split("\n"); +}; +var utf8ByteToHex = (c) => { + const hexValue = c.toString(16).toUpperCase().padStart(2, "0"); + return `<0x${hexValue}>`; +}; +var hexToUtf8Byte = (hex) => { + const strippedHex = hex.replace(/<0x|>/g, ""); + return parseInt(strippedHex, 16); +}; +var utf8Encoder = new TextEncoder(); +var utf8Decoder = new TextDecoder("utf-8"); +var PriorityQueue = class { + // PriorityQueue implementation is copied from https://stackoverflow.com/a/42919752 with minor refactoring + constructor(comparator = (a, b) => a > b) { + this._heap = []; + this._comparator = comparator; + } + size() { + return this._heap.length; + } + isEmpty() { + return this.size() == 0; + } + peek() { + return this._heap[0]; + } + push(...values) { + values.forEach((value) => { + this._heap.push(value); + this._siftUp(); + }); + return this.size(); + } + pop() { + const poppedValue = this.peek(); + const bottom = this.size() - 1; + if (bottom > 0) { + this._swap(0, bottom); + } + this._heap.pop(); + this._siftDown(); + return poppedValue; + } + replace(value) { + const replacedValue = this.peek(); + this._heap[0] = value; + this._siftDown(); + return replacedValue; + } + _parent(i) { + return (i + 1 >>> 1) - 1; + } + _left(i) { + return (i << 1) + 1; + } + _right(i) { + return i + 1 << 1; + } + _greater(i, j) { + return this._comparator(this._heap[i], this._heap[j]); + } + _swap(i, j) { + [this._heap[i], this._heap[j]] = [this._heap[j], this._heap[i]]; + } + _siftUp() { + let node = this.size() - 1; + while (node > 0 && this._greater(node, this._parent(node))) { + this._swap(node, this._parent(node)); + node = this._parent(node); + } + } + _siftDown() { + let node = 0; + while (this._left(node) < this.size() && this._greater(this._left(node), node) || this._right(node) < this.size() && this._greater(this._right(node), node)) { + let maxChild = this._right(node) < this.size() && this._greater(this._right(node), this._left(node)) ? this._right(node) : this._left(node); + this._swap(node, maxChild); + node = maxChild; + } + } +}; +var mapCharactersToTokenIds = (prompt, add_bos_token, add_preceding_space) => { + const tokenIds = []; + if (add_bos_token) { + tokenIds.push(1); + } + if (add_preceding_space) { + prompt = " " + prompt; + } + const promptAltered = prompt.replaceAll(" ", mistralTokenizer.vocabById[28705]); + const charArray = Array.from(promptAltered); + for (let i = 0; i < charArray.length; i++) { + const c = charArray[i]; + if (mistralTokenizer.vocabByString.has(c)) { + tokenIds.push(mistralTokenizer.vocabByString.get(c)); + } else { + const bytes = utf8Encoder.encode(c); + for (let j = 0; j < bytes.length; j++) { + const hex = mistralTokenizer.vocabByString.get(utf8ByteToHex(bytes[j])); + tokenIds.push(hex); + if (!(hex >= 0)) { + console.log("Encountered unknown character " + c + " (partial UTF-8 byte " + bytes[j] + " + hex + " + utf8ByteToHex(bytes[j]) + ")"); + tokenIds[tokenIds.length - 1] = 0; + } + } + } + } + return tokenIds; +}; +var encode4 = (prompt, add_bos_token = true, add_preceding_space = true, log_performance = false) => { + let startTime = null; + if (log_performance) { + startTime = performance.now(); + } + if (!mistralTokenizer.vocabById || !mistralTokenizer.vocabByString || !mistralTokenizer.merges) { + console.log("Tokenizer not initialized properly!"); + return; + } + if (prompt.length === 0) { + return []; + } + const tokenIds = mapCharactersToTokenIds(prompt, add_bos_token, add_preceding_space); + const mergeQueue = new PriorityQueue((a, b) => { + return a.mergePrio < b.mergePrio; + }); + const addToMergeQueue = function(leftNode) { + const mergeIdentifierString = getMergeIdentifierString(leftNode.tokenId, leftNode.next.tokenId); + const mergePrio = mistralTokenizer.merges.get(mergeIdentifierString) + leftNode.origPos / prompt.length; + if (mergePrio) { + leftNode.mergePrio = mergePrio; + leftNode.mergeToString = mergeIdentifierString.replace(" ", ""); + mergeQueue.push(leftNode); + } + }; + let firstTokenNode = { + origPos: 0, + tokenId: tokenIds[0], + prev: null, + next: null + }; + let prevTokenNode = firstTokenNode; + for (let i = 1; i < tokenIds.length; i++) { + const currTokenNode = { + origPos: i, + tokenId: tokenIds[i], + prev: prevTokenNode, + next: null + }; + prevTokenNode.next = currTokenNode; + addToMergeQueue(prevTokenNode); + prevTokenNode = currTokenNode; + } + while (!mergeQueue.isEmpty()) { + const leftOfMerge = mergeQueue.pop(); + if (leftOfMerge.deleted) continue; + if (!leftOfMerge.next) continue; + if (leftOfMerge.next.deleted) continue; + leftOfMerge.deleted = true; + leftOfMerge.next.deleted = true; + if (leftOfMerge.prev) { + const oldPrev = leftOfMerge.prev; + oldPrev.deleted = true; + const newPrev = { + origPos: oldPrev.origPos, + tokenId: oldPrev.tokenId, + prev: oldPrev.prev, + next: oldPrev.next + }; + leftOfMerge.prev = newPrev; + if (newPrev.prev) { + newPrev.prev.next = newPrev; + } else { + firstTokenNode = newPrev; + } + } + const resultOfMerge = { + origPos: leftOfMerge.origPos, + tokenId: mistralTokenizer.vocabByString.get(leftOfMerge.mergeToString), + prev: leftOfMerge.prev, + next: leftOfMerge.next.next + }; + if (resultOfMerge.prev) { + resultOfMerge.prev.next = resultOfMerge; + resultOfMerge.prev; + addToMergeQueue(resultOfMerge.prev); + } else { + firstTokenNode = resultOfMerge; + } + if (resultOfMerge.next) { + resultOfMerge.next.prev = resultOfMerge; + addToMergeQueue(resultOfMerge); + } + } + const mergedTokenIds = []; + for (let currTokenNode = firstTokenNode; currTokenNode !== null; currTokenNode = currTokenNode.next) { + mergedTokenIds.push(currTokenNode.tokenId); + } + if (log_performance) { + const endTime = performance.now(); + console.log("Tokenizer running time: " + (endTime - startTime) + " milliseconds"); + } + return mergedTokenIds; +}; +var decode3 = function(tokenIds, add_bos_token = true, add_preceding_space = true) { + const utf8byteVals = []; + const startIndex = add_bos_token ? 1 : 0; + for (let i = startIndex; i < tokenIds.length; i++) { + const tokenId = tokenIds[i]; + const tokenString = mistralTokenizer.vocabById[tokenId]; + if (tokenString.startsWith("<0x") && tokenString.endsWith(">")) { + const utf8byte = hexToUtf8Byte(tokenString); + utf8byteVals.push(utf8byte); + } else { + const utf8bytes = utf8Encoder.encode(tokenString); + utf8bytes.forEach((utf8Byte) => utf8byteVals.push(utf8Byte)); + } + } + const uint8Array = new Uint8Array(utf8byteVals); + const decodedString = utf8Decoder.decode(uint8Array); + const spacesFixed = decodedString.replaceAll(mistralTokenizer.vocabById[28705], " "); + return add_preceding_space ? spacesFixed.slice(1) : spacesFixed; +}; +function runTests() { + function isEqual(arr1, arr2) { + return arr1.length === arr2.length && arr1.every(function(value, index) { + return value === arr2[index]; + }); + } + function testCase(inputString, expectedTokenIds) { + const actualTokens = encode4(inputString, true, true, true); + if (!isEqual(actualTokens, expectedTokenIds)) { + throw `Test failed. mistral Tokenizer Encoder returned unexpected result: expected tokenize(${inputString}) === ${expectedTokenIds}, actual was: ${actualTokens}`; + } + if (inputString !== decode3(actualTokens)) { + throw `Test failed. mistral Tokenizer Decoder returned unexpected result: expected decode(${actualTokens}) === ${inputString}, actual was: ${decode3(actualTokens)}`; + } + } + testCase("grabbed", [1, 13300]); + testCase(" grabbed", [1, 28705, 13300]); + testCase(" grabbed", [1, 17422, 13300]); + testCase("\n", [1, 28705, 13]); + testCase(" \n", [1, 259, 13]); + testCase(" tabs out here", [1, 28705, 12, 24856, 12, 12, 12, 12, 406, 1236]); + testCase("ax\n####\nboo", [1, 6056, 13, 2e3, 13, 1798, 28709]); + testCase("\u9547", [1, 28705, 29780]); + testCase("\u{1F999}", [1, 28705, 243, 162, 169, 156]); + testCase("\u{1F999}\uA64A", [1, 28705, 243, 162, 169, 156, 237, 156, 141]); + testCase("\uA64A\u{1F999}", [1, 28705, 237, 156, 141, 243, 162, 169, 156]); + testCase( + 'The llama (/\u02C8l\u0251\u02D0m\u0259/; \u{1F999}Spanish pronunciation: [\u02C8\u028Eama]) (Lama glama) is a domesticated South American camelid, widely used as a meat and pack animal by Andean cultures since the Pre-Columbian era. Llamas are social animals and live with others as a herd. Their wool is soft and contains only a small amount of lanolin.[2] Llamas can learn simple tasks after a few repetitions. When using a pack, they can carry about 25 to 30% of their body weight for 8 to 13 km (5\u20138 miles).[3] The name llama (in the past also spelled "lama" or "glama") was adopted by European settlers from native Peruvians.[4] The ancestors of llamas are thought to have originated from the Great Plains of North America about 40 million years ago, and subsequently migrated to South America about three million years ago during the Great American Interchange. By the end of the last ice age (10,000\u201312,000 years ago), camelids were extinct in North America.[3] As of 2007, there were over seven million llamas and alpacas in South America and over 158,000 llamas and 100,000\uA64A\u{1F999} alpacas, descended from progenitors imported late in the 20th century, in the United States and Canada.[5] In Aymara mythology, llamas are important beings. The Heavenly Llama is said to drink water from the ocean and urinates as it rains.[6] According to Aymara eschatology, llamas will return to the water springs and lagoons where they come from at the end of time.[6]', + [1, 415, 8814, 2786, 325, 28748, 29097, 28714, 29813, 29240, 28719, 29108, 28748, 28745, 28705, 243, 162, 169, 156, 13116, 789, 12704, 14281, 352, 28747, 733, 29097, 205, 145, 2786, 2803, 325, 28758, 2786, 1272, 2786, 28731, 349, 264, 2853, 374, 6899, 3658, 2556, 3730, 301, 313, 28725, 12575, 1307, 390, 264, 10228, 304, 2163, 8527, 486, 1015, 28706, 276, 19826, 1854, 272, 4258, 28733, 1577, 2915, 753, 4204, 28723, 393, 5989, 293, 460, 2809, 8222, 304, 2943, 395, 2663, 390, 264, 559, 28715, 28723, 6723, 25943, 349, 2664, 304, 5876, 865, 264, 1741, 3558, 302, 26573, 27545, 20011, 28750, 28793, 393, 5989, 293, 541, 2822, 3588, 9796, 1024, 264, 1664, 21435, 2065, 28723, 1684, 1413, 264, 2163, 28725, 590, 541, 7096, 684, 28705, 28750, 28782, 298, 28705, 28770, 28734, 28823, 302, 652, 2187, 4336, 354, 28705, 28783, 298, 28705, 28740, 28770, 3535, 325, 28782, 28816, 28783, 6052, 609, 28792, 28770, 28793, 415, 1141, 8814, 2786, 325, 262, 272, 2609, 835, 668, 6099, 345, 28714, 2786, 28739, 442, 345, 1727, 2786, 1243, 403, 13424, 486, 6392, 4641, 8531, 477, 8271, 2744, 5388, 3693, 20011, 28781, 28793, 415, 25427, 302, 17620, 293, 460, 1654, 298, 506, 5016, 601, 477, 272, 6043, 1641, 1606, 302, 3964, 4352, 684, 28705, 28781, 28734, 3841, 1267, 3584, 28725, 304, 18410, 11205, 601, 298, 3658, 4352, 684, 1712, 3841, 1267, 3584, 1938, 272, 6043, 2556, 4287, 4078, 28723, 2463, 272, 948, 302, 272, 1432, 7515, 3595, 325, 28740, 28734, 28725, 28734, 28734, 28734, 28816, 28740, 28750, 28725, 28734, 28734, 28734, 1267, 3584, 557, 3730, 301, 2298, 654, 1568, 5654, 297, 3964, 4352, 20011, 28770, 28793, 1136, 302, 28705, 28750, 28734, 28734, 28787, 28725, 736, 654, 754, 6671, 3841, 17620, 293, 304, 389, 28720, 323, 293, 297, 3658, 4352, 304, 754, 28705, 28740, 28782, 28783, 28725, 28734, 28734, 28734, 17620, 293, 304, 28705, 28740, 28734, 28734, 28725, 28734, 28734, 28734, 237, 156, 141, 243, 162, 169, 156, 389, 28720, 323, 293, 28725, 2283, 2508, 477, 430, 2383, 9058, 26659, 3909, 297, 272, 28705, 28750, 28734, 362, 5445, 28725, 297, 272, 2969, 3543, 304, 6082, 20011, 28782, 28793, 560, 330, 1082, 2923, 13345, 2161, 28725, 17620, 293, 460, 2278, 16905, 28723, 415, 22830, 346, 393, 28714, 2786, 349, 773, 298, 4663, 2130, 477, 272, 13993, 304, 4273, 10218, 390, 378, 408, 1606, 20011, 28784, 28793, 6586, 298, 330, 1082, 2923, 1037, 12932, 2161, 28725, 17620, 293, 622, 604, 298, 272, 2130, 7474, 28713, 304, 305, 4567, 1053, 970, 590, 1567, 477, 438, 272, 948, 302, 727, 20011, 28784, 28793] + ); + console.log("Mistral Tokenizer tests passed successfully."); + return true; +} +function initializemistralTokenizer() { + mistralTokenizer.encode = encode4; + mistralTokenizer.decode = decode3; + mistralTokenizer.runTests = runTests; + mistralTokenizer.vocabById = decodeVocabulary(vocab_base64); + mistralTokenizer.vocabByString = /* @__PURE__ */ new Map(); + mistralTokenizer.vocabById.forEach((tokenString, tokenId) => { + mistralTokenizer.vocabByString.set(tokenString, tokenId); + }); + mistralTokenizer.merges = decompressMerges(merges_binary); +} +var vocab_base64 = "<unk>
<s>
</s>
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<0xFF>
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孝
陳
히
ක
黒
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ḩ
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饰
∪
宜
樂
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ɹ
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讲
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丝
Ħ
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梦"; +var merges_binary = 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"; +initializemistralTokenizer(); +var mistral_tokenizer_default = mistralTokenizer; + +// ../core/dist/tokenize-mistral.js +var TEKKEN_MODELS = /* @__PURE__ */ new Set([ + "mistral-nemo", + "pixtral-12b", + "pixtral-large-latest", + "mistral-small-latest", + "devstral-small-2505", + "devstral-small-2507", + "devstral-medium-2507", + "mistral-medium-2505", + "mistral-medium-2508", + "mistral-medium-latest", + "magistral-small", + "magistral-medium-latest", + "ministral-3b-latest", + "ministral-8b-latest" +]); +var isTekken = (modelId) => TEKKEN_MODELS.has(modelId); +var MISTRAL_HEURISTIC_CHARS_PER_TOKEN = 4; +var heuristicCount = (text) => Math.ceil(text.length / MISTRAL_HEURISTIC_CHARS_PER_TOKEN); +var mistralCount = (text, modelId) => { + if (isTekken(modelId)) { + return { approximate: true, tokens: heuristicCount(text), tokenizer: "heuristic" }; + } + const ids = mistral_tokenizer_default.encode(text); + const tokenizer = "mistral_v1_v3"; + return { approximate: true, tokens: ids.length, tokenizer }; +}; + // ../core/dist/tokenize.js var HEURISTIC_CHARS_PER_TOKEN = { anthropic: 3.5, + cohere: 4, google: 4, + mistral: 4, openai: 4 }; -var heuristicCount = (text, provider) => Math.ceil(text.length / HEURISTIC_CHARS_PER_TOKEN[provider]); -var countTokens3 = (text, provider) => { +var heuristicCount2 = (text, provider) => Math.ceil(text.length / HEURISTIC_CHARS_PER_TOKEN[provider]); +var countTokens3 = (text, provider, modelId) => { switch (provider) { case "openai": return { approximate: false, count: encode2(text).length, tokenizer: "o200k_base" }; @@ -58775,16 +59142,24 @@ var countTokens3 = (text, provider) => { case "google": return { approximate: true, - count: heuristicCount(text, "google"), + count: heuristicCount2(text, "google"), tokenizer: "heuristic" }; + case "mistral": { + const r = mistralCount(text, modelId ?? ""); + return { approximate: r.approximate, count: r.tokens, tokenizer: r.tokenizer }; + } + case "cohere": { + const r = cohereCount(text); + return { approximate: r.approximate, count: r.tokens, tokenizer: r.tokenizer }; + } } }; var tokenize2 = (options) => { const model = getModel(options.modelId); const rate = getRate(options.modelId); const converted = toFormat(options.prompt, options.format); - const counted = countTokens3(converted, model.provider); + const counted = countTokens3(converted, model.provider, model.id); const inputCost = counted.count / 1e3 * rate.inputPer1k; return { approximate: counted.approximate, diff --git a/packages/claude-code-skill/README.md b/packages/claude-code-skill/README.md new file mode 100644 index 0000000..78a07a8 --- /dev/null +++ b/packages/claude-code-skill/README.md @@ -0,0 +1,59 @@ +# Tokenometer Claude Code skill + +> Give Claude Code real token-cost awareness. + +This package ships a [Claude Code](https://docs.anthropic.com/en/docs/claude-code) skill +(`tokenometer-cost-check`) that teaches Claude Code agents to invoke the +`tokenometer` CLI for empirical prompt-cost measurement. With it +installed, Claude Code can answer "what does this prompt cost?" with a +real number sourced from provider `countTokens` APIs and the +[`tokenlens`](https://www.npmjs.com/package/tokenlens) pricing registry, +instead of guessing from `tiktoken`. + +## Install + +One-shot copy: + +```bash +cp -R packages/claude-code-skill ~/.claude/skills/tokenometer +``` + +Or, for a one-file install: + +```bash +mkdir -p ~/.claude/skills/tokenometer \ + && cp packages/claude-code-skill/SKILL.md ~/.claude/skills/tokenometer/ +``` + +Or use the included installer: + +```bash +./packages/claude-code-skill/install.sh +``` + +That writes `~/.claude/skills/tokenometer/SKILL.md`. Restart Claude Code +(or open a new session) and the `tokenometer-cost-check` skill becomes +discoverable. + +## What's it do + +The skill registers trigger phrases like "what does this prompt cost", +"is this cheaper as JSON or YAML", and "did my change increase prompt +cost". When matched, Claude Code knows to shell out to +`npx tokenometer …` instead of guessing — then surfaces real token +counts and USD cost across Claude / GPT-4o / Gemini, with an +honesty flag for approximate vs exact counts. + +See [`SKILL.md`](./SKILL.md) for the full skill content (trigger +phrases, invocation patterns, output handling, and the empirical +findings the skill is allowed to cite). + +## Skill registry + +We'll submit this to the community skills registry once one stabilizes; +track issue [#TBD]. Until then, install via the copy / installer +commands above. + +## License + +MIT diff --git a/packages/claude-code-skill/SKILL.md b/packages/claude-code-skill/SKILL.md new file mode 100644 index 0000000..d013d15 --- /dev/null +++ b/packages/claude-code-skill/SKILL.md @@ -0,0 +1,229 @@ +--- +name: tokenometer-cost-check +description: Use when measuring or comparing token cost of prompts across LLM providers (Claude, GPT-4o, Gemini), estimating cost of agent system prompts before deploy, validating that a code change doesn't increase prompt-cost, or picking the cheapest model for a given prompt shape. Wraps the `tokenometer` CLI. +--- + +# Tokenometer cost check + +## What this skill does + +This skill teaches you to invoke `npx tokenometer` for empirical token-cost +measurement. Given a prompt file (or stdin), `tokenometer` reports the token +count and USD cost across one or more LLM providers (Anthropic Claude, +OpenAI GPT-4o, Google Gemini) and one or more serialization formats +(JSON / YAML / XML / Markdown / text). Counts can be offline (proxy +tokenizers) or empirical (provider `countTokens` APIs — both Anthropic and +Google offer this for free; OpenAI's `o200k_base` matches production +exactly). USD cost is sourced from the [`tokenlens`](https://www.npmjs.com/package/tokenlens) +pricing registry. Use this skill any time the user asks "what does this +prompt cost" or anything adjacent. + +## When to invoke + +Trigger phrases (verbatim or paraphrased): + +- "what does this prompt cost" +- "is this cheaper as JSON or YAML" +- "did my change increase prompt cost" +- "which model is cheapest for this" +- "estimate budget for this agent" +- "how many tokens is this" +- "tiktoken says X — is that actually right for Claude?" + +Proactively suggest a measurement when: + +- The user is iterating on a prompt file in a `prompts/` directory and + about to ship. +- The user mentions hitting a model rate limit, a context-window wall, or + a surprising bill. +- A diff under review touches `prompts/**`, `system_prompt*`, or any file + whose role is to be sent to an LLM. + +## How to invoke (offline mode — no API key required) + +Default invocation: + +```bash +npx tokenometer --model +``` + +Examples: + +```bash +# Single prompt, single model +npx tokenometer ./prompt.md --model claude-opus-4-7 + +# Cross-model + cross-format comparison +npx tokenometer ./prompts/agent.md \ + --model claude-opus-4-7,gpt-4o,gemini-2.5-pro \ + --format json,yaml,markdown +``` + +Output is a table with tokens and USD per `(model, format)` cell. A +leading `~` (or an `Approx ✓` column) marks proxy counts. Returns exit 0 +on success. + +## How to invoke (empirical mode — exact counts via provider APIs) + +```bash +ANTHROPIC_API_KEY=… npx tokenometer ./prompt.md --empirical --max-spend 0.05 +``` + +In empirical mode tokenometer calls: + +- Anthropic → `messages.countTokens` (free) +- Google → `model.countTokens` (free, requires `GOOGLE_API_KEY` or `GEMINI_API_KEY`) +- OpenAI → `tiktoken` `o200k_base` locally (matches OpenAI's production + count exactly — no API call needed) + +`--max-spend` is a hard ceiling enforced before any paid call would +happen. The default is `$0.05`. Pass `--offline` to force the offline +path even if `--empirical` is also set. + +## Output formats for parseable downstream use + +- `--output json` — emits a `TokenometerResult` JSON shape with one entry + per input file. Pipe to `jq`: + + ```bash + npx tokenometer ./prompt.md --output json \ + | jq '.files[].results | map(.inputCost) | add' + ``` + +- `--output sarif` — SARIF 2.1.0; `gh code-scanning` (and any SARIF + viewer) ingests it for inline PR annotations: + + ```bash + npx tokenometer ./prompt.md --output sarif > tokenometer.sarif + ``` + +## Per-file attribution + +When measuring multiple files (e.g. an entire `prompts/**/*.md` glob), +pass `--by-file` to append a ranked per-file token-and-USD table: + +```bash +npx tokenometer prompts/**/*.md --by-file +``` + +Useful for figuring out which prompt files dominate the cost of a +multi-file pipeline. + +## Vision tokens + +For multimodal prompts, pass `--image ` (repeatable). Each image +becomes a virtual file in the result, and per-provider vision-token +formulas are applied: + +```bash +npx tokenometer ./prompt.md --image ./logo.png --model claude-opus-4-7 +``` + +Provider is inferred from the model. Vision-token cells are always +marked `approximate: true` because they are formula-derived, not +tokenizer-derived. Surface this when reporting back to the user. + +## Auto provider detection + +Omit `--model` and tokenometer picks a default based on which +`*_API_KEY` env is set: + +- `ANTHROPIC_API_KEY` only → `claude-opus-4-7` +- `OPENAI_API_KEY` only → `gpt-4o` +- `GOOGLE_API_KEY` / `GEMINI_API_KEY` only → first known `gemini-*` model +- Multiple keys set → defaults to `claude-opus-4-7` and emits a stderr + note. Pass `--model` to disambiguate. +- No keys set → existing default (`claude-opus-4-7`). + +Means `npx tokenometer prompt.md` does the right thing in any of those +environments without remembering model names. + +## Config file + +Drop a `.tokenometer.yml` (or `.yaml`) at the repo root for declarative +defaults: + +```yaml +models: [claude-opus-4-7, gpt-4o] +formats: [json, markdown] +budgets: + total: 0.50 + per-file: 0.10 +paths: [prompts/**/*.md] +``` + +Tokenometer walks up from the cwd to find it (stops at `.git`). CLI +flags always override config. Use `--config ` to load an exact +file (skips the walk-up); use `--no-config` to skip config loading +entirely. + +## CI guardrail + +For repos using GitHub Actions, scaffold cost-regression checking with: + +```bash +npx tokenometer init +``` + +This writes `.github/workflows/prompt-cost.yml` and a starter +`.tokenometer.yml`. The Action posts a sticky PR comment with the cost +diff vs the base branch and fails the check when total Δ exceeds +`budget`. + +## What this skill does NOT do + +- Doesn't generate prompts. +- Doesn't optimize prompts (yet — measurement only). +- Doesn't track cost over time across runs (use the playground at + https://tokenometer.vercel.app for that). + +## Empirical findings worth citing in conversation + +Tokenometer's own n=150 measurement (10 prompt shapes × 5 formats × 3 +Claude models, all empirical via `messages.countTokens`): + +- `tiktoken cl100k_base` under-counts **Claude Opus 4.7 by +62% + median**. If a user is budgeting Claude Opus 4.7 using `tiktoken`, + their real cost is approximately **1.6× their spreadsheet**. +- `claude-sonnet-4-6` and `claude-haiku-4-5` are within ~17% of + `cl100k_base` and are identical to each other (same tokenizer + family). +- Format choice (JSON / YAML / XML / Markdown / text) is a wash on + Claude — within ~1pp of median delta. Picking a cheaper *model* + saves 7-12×; reformatting saves ~10%. + +Cite this when a user asks "isn't `tiktoken` good enough for Claude?" +or is reasoning about budget on the wrong tokenizer. + +## Honesty contract + +Tokenometer marks results with `approximate: true` whenever the offline +path is a proxy: + +- Claude offline (`cl100k_base`) +- Google offline (`chars / 4` heuristic) +- Vision-token results (formula-derived for all providers) + +When summarizing results to the user, **surface this flag**. Don't paper +over approximate counts as if they were exact. Either run `--empirical` +for an exact number or call out the approximation in the summary. + +## Full flag reference + +``` +tokenometer [options] +echo "prompt" | tokenometer - [options] + +--model Default: claude-opus-4-7, or auto-detected from env +--format Default: all (json,yaml,xml,markdown,text) +--output table (default) | json | sarif +--by-file Append a per-file token/cost table (multi-file only) +--image Add vision-token cost for the image (repeatable) +--config Load this exact config file +--no-config Skip .tokenometer.yml loading +--empirical Use provider countTokens APIs (free, exact) +--max-spend Hard ceiling for empirical mode (default 0.05) +--offline Force offline (overrides --empirical) +-h, --help +-v, --version +``` diff --git a/packages/claude-code-skill/install.sh b/packages/claude-code-skill/install.sh new file mode 100755 index 0000000..8b992a2 --- /dev/null +++ b/packages/claude-code-skill/install.sh @@ -0,0 +1,6 @@ +#!/usr/bin/env bash +set -euo pipefail +DEST="${HOME}/.claude/skills/tokenometer" +mkdir -p "$DEST" +cp "$(dirname "$0")/SKILL.md" "$DEST/SKILL.md" +echo "Installed Tokenometer skill to $DEST/SKILL.md" diff --git a/packages/claude-code-skill/package.json b/packages/claude-code-skill/package.json new file mode 100644 index 0000000..13be3a3 --- /dev/null +++ b/packages/claude-code-skill/package.json @@ -0,0 +1,30 @@ +{ + "name": "@tokenometer/claude-code-skill", + "version": "0.0.2", + "description": "Claude Code skill that wraps the tokenometer CLI.", + "license": "MIT", + "author": "Faraazuddin Mohammed ", + "homepage": "https://tokenometer.vercel.app", + "repository": { + "type": "git", + "url": "git+https://github.com/faraa2m/tokenometer.git", + "directory": "packages/claude-code-skill" + }, + "bugs": { + "url": "https://github.com/faraa2m/tokenometer/issues" + }, + "private": true, + "keywords": [ + "claude", + "claude-code", + "claude-code-skill", + "llm-cost", + "prompt-cost", + "skill", + "tokenometer" + ], + "files": ["SKILL.md", "README.md", "install.sh"], + "scripts": { + "lint": "echo skipped" + } +} diff --git a/packages/cli/README.md b/packages/cli/README.md index d318ede..c77424e 100644 --- a/packages/cli/README.md +++ b/packages/cli/README.md @@ -76,6 +76,25 @@ npx tokenometer ./prompt.md --output sarif > tokenometer.sarif npx tokenometer ./prompt.md --output json | jq '.files[].results | map(.inputCost) | add' ``` +### Latency + +`--latency` measures real generation latency in addition to token cost. For each `(model, format)` cell, tokenometer streams `n` real chat completions (default `n=3`, override with `--latency-trials 1..10`) capped at `max_tokens=200`, and reports: + +- **TTFT** — time to first streamed token (ms) +- **Total** — wall-clock from request start to stream end (ms) +- **tokens/sec** — `output_tokens / (total - ttft)` + +Numbers are reported as **p50 / p95 / mean** over the trials. Full per-trial data is included in `--output json`. + +```bash +ANTHROPIC_API_KEY=… OPENAI_API_KEY=… \ + npx tokenometer ./prompt.md --latency --model claude-opus-4-7,gpt-4o +``` + +`--latency` implies `--empirical` (offline mode can't measure real latency). The default `--max-spend` ceiling is bumped from `$0.05` to `$0.25` to cover the `n × 200-token` generations; pass `--max-spend` explicitly to override. + +Supported providers: Anthropic (`messages.stream`), OpenAI (`/v1/chat/completions` SSE), Google (`generateContentStream`), Cohere (`/v1/chat` NDJSON), Mistral (`/v1/chat/completions` SSE). Each trial retries once on transient failures. + ## Per-file attribution `--by-file` appends a per-file token + USD summary table when you pass multiple input files (single-file inputs are a no-op): @@ -124,7 +143,9 @@ echo "prompt" | tokenometer - [options] --config Load this exact config file --no-config Skip .tokenometer.yml loading --empirical Use provider countTokens APIs (free, exact) ---max-spend Hard ceiling for empirical mode (default 0.05) +--latency Measure real generation latency (TTFT, total ms, tokens/s) +--latency-trials Trials per cell when --latency is set (1-10, default 3) +--max-spend Hard ceiling for empirical mode (default 0.05; with --latency, 0.25) --offline Force offline (overrides --empirical) -h, --help -v, --version diff --git a/packages/cli/src/args.test.ts b/packages/cli/src/args.test.ts index a232578..0e87e4d 100644 --- a/packages/cli/src/args.test.ts +++ b/packages/cli/src/args.test.ts @@ -90,4 +90,41 @@ describe('parseArgs', () => { expect(r.modelsSet).toBe(false); expect(r.formatsSet).toBe(false); }); + + it('--latency parses as a boolean and implies --empirical', () => { + const r = parseArgs(['p.md', '--latency']); + expect(r.latency).toBe(true); + expect(r.empirical).toBe(true); + }); + + it('--latency without explicit --max-spend bumps the default ceiling to $0.25', () => { + const r = parseArgs(['p.md', '--latency']); + expect(r.maxSpend).toBeCloseTo(0.25); + expect(r.maxSpendSet).toBe(false); + }); + + it('--latency with explicit --max-spend keeps the user value', () => { + const r = parseArgs(['p.md', '--latency', '--max-spend', '0.40']); + expect(r.maxSpend).toBeCloseTo(0.4); + expect(r.maxSpendSet).toBe(true); + }); + + it('--latency-trials defaults to 3 and parses an integer in [1,10]', () => { + expect(parseArgs(['p.md']).latencyTrials).toBe(3); + expect(parseArgs(['p.md', '--latency-trials', '5']).latencyTrials).toBe(5); + expect(parseArgs(['p.md', '--latency-trials', '1']).latencyTrials).toBe(1); + expect(parseArgs(['p.md', '--latency-trials', '10']).latencyTrials).toBe(10); + }); + + it('--latency-trials rejects out-of-range and non-integer values', () => { + expect(() => parseArgs(['p.md', '--latency-trials', '0'])).toThrow(/between 1 and 10/); + expect(() => parseArgs(['p.md', '--latency-trials', '11'])).toThrow(/between 1 and 10/); + expect(() => parseArgs(['p.md', '--latency-trials', 'abc'])).toThrow(/between 1 and 10/); + }); + + it('--latency-trials requires a value', () => { + expect(() => parseArgs(['p.md', '--latency-trials'])).toThrow( + /--latency-trials requires a value/, + ); + }); }); diff --git a/packages/cli/src/args.ts b/packages/cli/src/args.ts index 0735676..de761aa 100644 --- a/packages/cli/src/args.ts +++ b/packages/cli/src/args.ts @@ -13,7 +13,11 @@ export interface ParsedArgs { imagePaths: string[]; inputPaths: string[]; inputPathsSet: boolean; + latency: boolean; + latencyTrials: number; maxSpend: number; + /** True iff the user passed `--max-spend` explicitly (not the default). */ + maxSpendSet: boolean; modelIds: string[]; modelsSet: boolean; noConfig: boolean; @@ -42,7 +46,18 @@ OPTIONS --no-config Skip .tokenometer.yml loading entirely. --empirical Run sample API calls and report real charges. Requires the matching _API_KEY env var. - --max-spend Hard ceiling for empirical mode (default: 0.05). + --latency Measure real generation latency (TTFT, total ms, + tokens/sec) per (model × format) cell. Implies + --empirical and bumps the default --max-spend + ceiling to $0.25 (each trial is a metered + ~200-token chat completion). Anthropic, OpenAI, + Google, Cohere, Mistral are supported. + --latency-trials Trials per cell for --latency (1-10, default 3). + Each trial requests max_tokens=200 to keep cost + predictable while giving enough output to + stabilize tokens/sec. + --max-spend Hard ceiling for empirical mode (default: 0.05; + with --latency, default 0.25). --offline Force offline mode (overrides --empirical). -h, --help Show this help. -v, --version Show CLI version. @@ -53,10 +68,15 @@ EXAMPLES tokenometer ./prompt.md --output sarif > tokenometer.sarif tokenometer ./prompt.md --image ./screenshot.png tokenometer ./prompt.md --format yaml,json --empirical --max-spend 0.01 + tokenometer ./prompt.md --latency --model gpt-4o,claude-opus-4-7 `; const DEFAULT_MODELS = ['claude-opus-4-7']; const DEFAULT_MAX_SPEND_USD = 0.05; +export const DEFAULT_LATENCY_MAX_SPEND_USD = 0.25; +export const DEFAULT_LATENCY_TRIALS = 3; +const MIN_LATENCY_TRIALS = 1; +const MAX_LATENCY_TRIALS = 10; const OUTPUT_FORMATS: readonly OutputFormat[] = ['table', 'json', 'sarif']; const isOutputFormat = (value: string): value is OutputFormat => @@ -73,7 +93,10 @@ export const parseArgs = (argv: readonly string[]): ParsedArgs => { imagePaths: [], inputPaths: [], inputPathsSet: false, + latency: false, + latencyTrials: DEFAULT_LATENCY_TRIALS, maxSpend: DEFAULT_MAX_SPEND_USD, + maxSpendSet: false, modelIds: [...DEFAULT_MODELS], modelsSet: false, noConfig: false, @@ -97,6 +120,24 @@ export const parseArgs = (argv: readonly string[]): ParsedArgs => { result.empirical = true; continue; } + if (arg === '--latency') { + result.latency = true; + // --latency implies --empirical (offline mode can't measure real latency). + result.empirical = true; + continue; + } + if (arg === '--latency-trials') { + const next = argv[++i]; + if (!next) throw new Error('--latency-trials requires a value'); + const parsed = Number.parseInt(next, 10); + if (!Number.isFinite(parsed) || parsed < MIN_LATENCY_TRIALS || parsed > MAX_LATENCY_TRIALS) { + throw new Error( + `--latency-trials must be an integer between ${MIN_LATENCY_TRIALS} and ${MAX_LATENCY_TRIALS}, got "${next}".`, + ); + } + result.latencyTrials = parsed; + continue; + } if (arg === '--offline') { result.offline = true; continue; @@ -164,6 +205,7 @@ export const parseArgs = (argv: readonly string[]): ParsedArgs => { throw new Error(`--max-spend must be a positive number, got "${next}".`); } result.maxSpend = parsed; + result.maxSpendSet = true; continue; } if (arg.startsWith('--')) { @@ -179,5 +221,11 @@ export const parseArgs = (argv: readonly string[]): ParsedArgs => { if (!result.formatsSet && result.formats.length === 0) { result.formats = [...allFormats()]; } + // `--latency` makes the default `--max-spend` ceiling more generous since + // each trial is a metered ~200-token chat completion. Only bump if the + // user did not explicitly set --max-spend (theirs always wins). + if (result.latency && !result.maxSpendSet) { + result.maxSpend = DEFAULT_LATENCY_MAX_SPEND_USD; + } return result; }; diff --git a/packages/cli/src/index.test.ts b/packages/cli/src/index.test.ts index 9d6de2d..09c9f0a 100644 --- a/packages/cli/src/index.test.ts +++ b/packages/cli/src/index.test.ts @@ -222,4 +222,69 @@ describe('main (integration)', () => { expect(code).toBe(1); expect(stderr.text()).toMatch(/No input files/); }); + + it('--latency populates per-cell latency block in JSON output', async () => { + const file = writePrompt(tmpRoot, 'p.md', 'hello world'); + const { stdout, stderr } = makeStreams(); + const measureLatencyFn = async () => ({ + trials: [{ ttftMs: 100, totalMs: 500, outputTokens: 50, tokensPerSec: 125 }], + p50: { ttftMs: 100, totalMs: 500, tokensPerSec: 125 }, + p95: { ttftMs: 100, totalMs: 500, tokensPerSec: 125 }, + mean: { ttftMs: 100, totalMs: 500, tokensPerSec: 125 }, + }); + // gpt-4o is the fast path: empirical mode uses tiktoken locally so we + // don't need any provider API keys for the empirical tokenize step. + const code = await main( + [ + file, + '--latency', + '--latency-trials', + '1', + '--model', + 'gpt-4o', + '--output', + 'json', + '--no-config', + ], + { + measureLatencyFn, + stderr: stderr as unknown as NodeJS.WriteStream, + stdout: stdout as unknown as NodeJS.WriteStream, + }, + ); + expect(code).toBe(0); + const parsed = JSON.parse(stdout.text()); + const cell = parsed.files[0].results[0]; + expect(cell.latency).toBeDefined(); + expect(cell.latency.p50.ttftMs).toBe(100); + expect(cell.latency.p50.totalMs).toBe(500); + expect(cell.latency.trials).toHaveLength(1); + }); + + it('--latency renders latency columns in the table output', async () => { + const file = writePrompt(tmpRoot, 'p.md', 'hello world'); + const { stdout, stderr } = makeStreams(); + const measureLatencyFn = async () => ({ + trials: [{ ttftMs: 250, totalMs: 1500, outputTokens: 200, tokensPerSec: 160 }], + p50: { ttftMs: 250, totalMs: 1500, tokensPerSec: 160 }, + p95: { ttftMs: 250, totalMs: 1500, tokensPerSec: 160 }, + mean: { ttftMs: 250, totalMs: 1500, tokensPerSec: 160 }, + }); + const code = await main( + [file, '--latency', '--latency-trials', '1', '--model', 'gpt-4o', '--no-config'], + { + measureLatencyFn, + stderr: stderr as unknown as NodeJS.WriteStream, + stdout: stdout as unknown as NodeJS.WriteStream, + }, + ); + expect(code).toBe(0); + const out = stdout.text(); + expect(out).toContain('p50 ttft'); + expect(out).toContain('p50 total'); + expect(out).toContain('tokens/s'); + expect(out).toContain('250 ms'); + expect(out).toContain('1500 ms'); + expect(out).toContain('latency:'); + }); }); diff --git a/packages/cli/src/index.ts b/packages/cli/src/index.ts index 054f786..0570f98 100644 --- a/packages/cli/src/index.ts +++ b/packages/cli/src/index.ts @@ -8,11 +8,18 @@ import { getModel, getRate, loadConfig, + measureLatency, toSarif, tokenizeMatrix, tokenizeMatrixEmpirical, } from '@tokenometer/core'; -import type { EmpiricalEnv, Format, TokenizeResult } from '@tokenometer/core'; +import type { + EmpiricalEnv, + Format, + LatencyResult, + MeasureLatencyOptions, + TokenizeResult, +} from '@tokenometer/core'; import { HELP_TEXT, type ParsedArgs, parseArgs } from './args.js'; import { autoDetectDefaultModel } from './auto-detect.js'; import { applyConfig, loadConfigFromPath } from './config-merge.js'; @@ -28,10 +35,20 @@ const VERSION = '0.0.2'; const readEnv = (): EmpiricalEnv => { const env: EmpiricalEnv = {}; - const { ANTHROPIC_API_KEY, GEMINI_API_KEY, GOOGLE_API_KEY } = process.env; + const { + ANTHROPIC_API_KEY, + COHERE_API_KEY, + GEMINI_API_KEY, + GOOGLE_API_KEY, + MISTRAL_API_KEY, + OPENAI_API_KEY, + } = process.env; if (ANTHROPIC_API_KEY) env.anthropicApiKey = ANTHROPIC_API_KEY; + if (COHERE_API_KEY) env.cohereApiKey = COHERE_API_KEY; const googleKey = GOOGLE_API_KEY ?? GEMINI_API_KEY; if (googleKey) env.googleApiKey = googleKey; + if (MISTRAL_API_KEY) env.mistralApiKey = MISTRAL_API_KEY; + if (OPENAI_API_KEY) env.openaiApiKey = OPENAI_API_KEY; return env; }; @@ -66,15 +83,43 @@ const readPerFilePrompts = async ( ); }; +/** Test seam for `measureLatency`; production code uses the SDK-backed default. */ +export type MeasureLatencyFn = (options: MeasureLatencyOptions) => Promise; + interface RunDeps { imageSizeReader?: ImageSizeReader; + measureLatencyFn?: MeasureLatencyFn; stderr?: NodeJS.WriteStream; stdout?: NodeJS.WriteStream; } +/** + * For each cell, run a real streaming generation and attach the resulting + * `LatencyResult` in-place. Skips cells whose provider doesn't yet support + * the latency path (currently: none — all 5 do). + */ +const augmentWithLatency = async ( + cells: TokenizeResult[], + prompt: string, + parsed: ParsedArgs, + measure: MeasureLatencyFn, +): Promise => { + // Sequential (not parallel) so we don't slam a single provider with N + // concurrent metered requests; rate-limits are real. + for (const cell of cells) { + cell.latency = await measure({ + env: readEnv(), + modelId: cell.model, + prompt, + trials: parsed.latencyTrials, + }); + } +}; + const buildPerFileResults = async ( parsed: ParsedArgs, useEmpirical: boolean, + measureLatencyFn: MeasureLatencyFn | undefined, ): Promise => { const inputs = await readPerFilePrompts(parsed.inputPaths); const out: TokenometerFileResult[] = []; @@ -92,6 +137,9 @@ const buildPerFileResults = async ( modelIds: parsed.modelIds, prompt, }); + if (parsed.latency) { + await augmentWithLatency(cells, prompt, parsed, measureLatencyFn ?? measureLatency); + } out.push({ path, results: cells }); } return out; @@ -190,7 +238,9 @@ export const main = async (argv: readonly string[], deps: RunDeps = {}): Promise // Otherwise the existing joined-prompt path is used. if (parsed.output === 'json' || parsed.output === 'sarif') { const fileResults = - parsed.inputPaths.length > 0 ? await buildPerFileResults(parsed, useEmpirical) : []; + parsed.inputPaths.length > 0 + ? await buildPerFileResults(parsed, useEmpirical, deps.measureLatencyFn) + : []; const imageResults = await buildImageResults(parsed, reader); const result: TokenometerResult = { files: [...fileResults, ...imageResults] }; if (result.files.length === 0) { @@ -237,6 +287,14 @@ export const main = async (argv: readonly string[], deps: RunDeps = {}): Promise modelIds: parsed.modelIds, prompt, }); + if (parsed.latency) { + await augmentWithLatency( + mainResults, + prompt, + parsed, + deps.measureLatencyFn ?? measureLatency, + ); + } } // Compute image rows up front (needed for main table appendage and by-file). @@ -253,7 +311,9 @@ export const main = async (argv: readonly string[], deps: RunDeps = {}): Promise // by-file table requires per-file results from prompt files plus image virtual files. if (parsed.byFile) { const perFile = - parsed.inputPaths.length > 0 ? await buildPerFileResults(parsed, useEmpirical) : []; + parsed.inputPaths.length > 0 + ? await buildPerFileResults(parsed, useEmpirical, deps.measureLatencyFn) + : []; const allFiles = [...perFile, ...imageFileResults]; const byFile = renderByFile(allFiles); if (byFile) stdout.write(`${byFile}\n`); @@ -264,6 +324,11 @@ export const main = async (argv: readonly string[], deps: RunDeps = {}): Promise '\n(empirical: Anthropic / Google counts via provider countTokens API; OpenAI via tiktoken o200k_base)\n', ); } + if (parsed.latency) { + stdout.write( + `(latency: ${parsed.latencyTrials} streaming generation${parsed.latencyTrials === 1 ? '' : 's'} per cell, max_tokens=200; p50/p95/mean over trials)\n`, + ); + } return 0; }; diff --git a/packages/cli/src/render.test.ts b/packages/cli/src/render.test.ts index 4edc3dc..d111f58 100644 --- a/packages/cli/src/render.test.ts +++ b/packages/cli/src/render.test.ts @@ -46,6 +46,57 @@ describe('renderTable', () => { const out = renderTable(sample); expect(out).toMatch(/~80/); }); + + it('omits latency columns when no cell has latency data', () => { + const out = renderTable(sample); + expect(out).not.toContain('p50 ttft'); + expect(out).not.toContain('p50 total'); + expect(out).not.toContain('tokens/s'); + }); + + it('adds latency columns when at least one cell has latency data', () => { + const withLatency: TokenizeResult[] = [ + { + ...(sample[0] as TokenizeResult), + latency: { + trials: [ + { ttftMs: 200, totalMs: 1500, outputTokens: 200, tokensPerSec: 153.85 }, + { ttftMs: 220, totalMs: 1600, outputTokens: 200, tokensPerSec: 144.93 }, + { ttftMs: 240, totalMs: 1700, outputTokens: 200, tokensPerSec: 136.99 }, + ], + p50: { ttftMs: 220, totalMs: 1600, tokensPerSec: 144.93 }, + p95: { ttftMs: 240, totalMs: 1700, tokensPerSec: 153.85 }, + mean: { ttftMs: 220, totalMs: 1600, tokensPerSec: 145.26 }, + }, + }, + ]; + const out = renderTable(withLatency); + expect(out).toContain('p50 ttft'); + expect(out).toContain('p50 total'); + expect(out).toContain('tokens/s'); + expect(out).toContain('220 ms'); + expect(out).toContain('1600 ms'); + }); + + it('renders a placeholder dash for cells without latency when others have it', () => { + const mixed: TokenizeResult[] = [ + sample[0] as TokenizeResult, + { + ...(sample[1] as TokenizeResult), + latency: { + trials: [{ ttftMs: 100, totalMs: 800, outputTokens: 200, tokensPerSec: 285.7 }], + p50: { ttftMs: 100, totalMs: 800, tokensPerSec: 285.7 }, + p95: { ttftMs: 100, totalMs: 800, tokensPerSec: 285.7 }, + mean: { ttftMs: 100, totalMs: 800, tokensPerSec: 285.7 }, + }, + }, + ]; + const out = renderTable(mixed); + expect(out).toContain('p50 ttft'); + // The first cell (no latency) should have placeholders. + const dataLines = out.split('\n').slice(2); + expect(dataLines[0]).toMatch(/-\s+-\s+-/); + }); }); describe('renderModelLimits', () => { diff --git a/packages/cli/src/render.ts b/packages/cli/src/render.ts index f123f89..f2c8cd6 100644 --- a/packages/cli/src/render.ts +++ b/packages/cli/src/render.ts @@ -13,16 +13,38 @@ const formatCost = (usd: number): string => { return `$${usd.toExponential(2)}`; }; +const formatMs = (ms: number): string => `${Math.round(ms)}`; + +const formatTps = (tps: number): string => + tps >= 100 ? Math.round(tps).toString() : tps.toFixed(1); + export const renderTable = (results: readonly TokenizeResult[]): string => { if (results.length === 0) return '(no results)'; - const headers = ['model', 'format', 'tokens', 'est. cost'] as const; - const rows: string[][] = results.map((r) => [ - r.model, - r.format, - `${r.approximate ? '~' : ' '}${r.inputTokens.toLocaleString()}`, - formatCost(r.inputCost), - ]); + // Latency columns are only added when at least one cell has latency data. + const hasLatency = results.some((r) => r.latency !== undefined); + + const headers = hasLatency + ? (['model', 'format', 'tokens', 'est. cost', 'p50 ttft', 'p50 total', 'tokens/s'] as const) + : (['model', 'format', 'tokens', 'est. cost'] as const); + const rows: string[][] = results.map((r) => { + const base = [ + r.model, + r.format, + `${r.approximate ? '~' : ' '}${r.inputTokens.toLocaleString()}`, + formatCost(r.inputCost), + ]; + if (!hasLatency) return base; + if (r.latency) { + return [ + ...base, + `${formatMs(r.latency.p50.ttftMs)} ms`, + `${formatMs(r.latency.p50.totalMs)} ms`, + formatTps(r.latency.p50.tokensPerSec), + ]; + } + return [...base, '-', '-', '-']; + }); const widths = headers.map((h, colIdx) => { const maxRowWidth = rows.reduce((acc, row) => Math.max(acc, row[colIdx]?.length ?? 0), 0); diff --git a/packages/cli/src/vision.ts b/packages/cli/src/vision.ts index 9030121..5a0ebd2 100644 --- a/packages/cli/src/vision.ts +++ b/packages/cli/src/vision.ts @@ -47,8 +47,12 @@ export const computeVisionTokens = ( return openaiVisionTokens(dim); case 'google': return googleVisionTokens(dim); + case 'mistral': + case 'cohere': + throw new Error( + `Vision tokens for provider "${provider}" are not yet supported (model "${modelId}", image "${imagePath}"). Use Claude, GPT-4o, or Gemini for image cost estimation.`, + ); default: { - // Exhaustiveness — once we add Mistral / Cohere this surfaces a clear error. const exhaustiveCheck: never = provider; throw new Error( `Vision tokens are not supported for provider "${exhaustiveCheck}" (model "${modelId}", image "${imagePath}").`, diff --git a/packages/core/package.json b/packages/core/package.json index a55a0f6..7876808 100644 --- a/packages/core/package.json +++ b/packages/core/package.json @@ -63,6 +63,7 @@ "@google/generative-ai": "^0.24.1", "@tokenlens/models": "^1.3.0", "gpt-tokenizer": "^3.4.0", + "mistral-tokenizer-js": "^1.0.0", "tokenlens": "^1.3.1", "yaml": "^2.8.4" }, diff --git a/packages/core/src/__snapshots__/registry.json b/packages/core/src/__snapshots__/registry.json index 8640e15..d4fc16a 100644 --- a/packages/core/src/__snapshots__/registry.json +++ b/packages/core/src/__snapshots__/registry.json @@ -1,5 +1,5 @@ { - "generatedAt": "2026-05-09T03:19:56.336Z", + "generatedAt": "2026-05-10T03:47:29.144Z", "models": [ { "id": "claude-3-5-haiku-20241022", @@ -131,6 +131,16 @@ "outputPer1k": 0.015, "cachedInputPer1k": 0.0003 }, + { + "id": "codestral-latest", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 256000, + "maxOutputTokens": 4096, + "inputPer1k": 0.0003, + "outputPer1k": 0.0009000000000000001, + "cachedInputPer1k": null + }, { "id": "codex-mini-latest", "provider": "openai", @@ -141,6 +151,56 @@ "outputPer1k": 0.006, "cachedInputPer1k": null }, + { + "id": "command-r", + "provider": "cohere", + "pricingSource": "local", + "contextWindow": 128000, + "maxOutputTokens": 4096, + "inputPer1k": 0.00015, + "outputPer1k": 0.0006, + "cachedInputPer1k": null + }, + { + "id": "command-r-plus", + "provider": "cohere", + "pricingSource": "local", + "contextWindow": 128000, + "maxOutputTokens": 4096, + "inputPer1k": 0.0025, + "outputPer1k": 0.01, + "cachedInputPer1k": null + }, + { + "id": "devstral-medium-2507", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 128000, + "maxOutputTokens": 128000, + "inputPer1k": 0.0004, + "outputPer1k": 0.002, + "cachedInputPer1k": null + }, + { + "id": "devstral-small-2505", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 128000, + "maxOutputTokens": 128000, + "inputPer1k": 0.0001, + "outputPer1k": 0.0003, + "cachedInputPer1k": null + }, + { + "id": "devstral-small-2507", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 128000, + "maxOutputTokens": 128000, + "inputPer1k": 0.0001, + "outputPer1k": 0.0003, + "cachedInputPer1k": null + }, { "id": "gemini-1.5-flash", "provider": "google", @@ -331,6 +391,106 @@ "outputPer1k": 0.0004, "cachedInputPer1k": null }, + { + "id": "magistral-medium-latest", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 128000, + "maxOutputTokens": 16384, + "inputPer1k": 0.002, + "outputPer1k": 0.005, + "cachedInputPer1k": null + }, + { + "id": "magistral-small", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 128000, + "maxOutputTokens": 128000, + "inputPer1k": 0.0005, + "outputPer1k": 0.0015, + "cachedInputPer1k": null + }, + { + "id": "ministral-3b-latest", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 128000, + "maxOutputTokens": 128000, + "inputPer1k": 0.00004, + "outputPer1k": 0.00004, + "cachedInputPer1k": null + }, + { + "id": "ministral-8b-latest", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 128000, + "maxOutputTokens": 128000, + "inputPer1k": 0.0001, + "outputPer1k": 0.0001, + "cachedInputPer1k": null + }, + { + "id": "mistral-large-latest", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 131072, + "maxOutputTokens": 16384, + "inputPer1k": 0.002, + "outputPer1k": 0.006, + "cachedInputPer1k": null + }, + { + "id": "mistral-medium-2505", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 131072, + "maxOutputTokens": 131072, + "inputPer1k": 0.0004, + "outputPer1k": 0.002, + "cachedInputPer1k": null + }, + { + "id": "mistral-medium-2508", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 262144, + "maxOutputTokens": 262144, + "inputPer1k": 0.0004, + "outputPer1k": 0.002, + "cachedInputPer1k": null + }, + { + "id": "mistral-medium-latest", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 128000, + "maxOutputTokens": 16384, + "inputPer1k": 0.0004, + "outputPer1k": 0.002, + "cachedInputPer1k": null + }, + { + "id": "mistral-nemo", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 128000, + "maxOutputTokens": 128000, + "inputPer1k": 0.00015, + "outputPer1k": 0.00015, + "cachedInputPer1k": null + }, + { + "id": "mistral-small-latest", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 128000, + "maxOutputTokens": 16384, + "inputPer1k": 0.0001, + "outputPer1k": 0.0003, + "cachedInputPer1k": null + }, { "id": "o1", "provider": "openai", @@ -420,6 +580,56 @@ "inputPer1k": 0.002, "outputPer1k": 0.008, "cachedInputPer1k": null + }, + { + "id": "open-mistral-7b", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 8000, + "maxOutputTokens": 8000, + "inputPer1k": 0.00025, + "outputPer1k": 0.00025, + "cachedInputPer1k": null + }, + { + "id": "open-mixtral-8x22b", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 64000, + "maxOutputTokens": 64000, + "inputPer1k": 0.002, + "outputPer1k": 0.006, + "cachedInputPer1k": null + }, + { + "id": "open-mixtral-8x7b", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 32000, + "maxOutputTokens": 32000, + "inputPer1k": 0.0007, + "outputPer1k": 0.0007, + "cachedInputPer1k": null + }, + { + "id": "pixtral-12b", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 128000, + "maxOutputTokens": 128000, + "inputPer1k": 0.00015, + "outputPer1k": 0.00015, + "cachedInputPer1k": null + }, + { + "id": "pixtral-large-latest", + "provider": "mistral", + "pricingSource": "tokenlens", + "contextWindow": 128000, + "maxOutputTokens": 128000, + "inputPer1k": 0.002, + "outputPer1k": 0.006, + "cachedInputPer1k": null } ] } diff --git a/packages/core/src/empirical.test.ts b/packages/core/src/empirical.test.ts index 8c1ee67..d4f3efe 100644 --- a/packages/core/src/empirical.test.ts +++ b/packages/core/src/empirical.test.ts @@ -83,6 +83,55 @@ describe('tokenizeEmpirical', () => { }), ).rejects.toThrow(/GOOGLE_API_KEY/); }); + + it('throws on Mistral empirical mode (no public token-count endpoint)', async () => { + await expect( + tokenizeEmpirical({ + env: {}, + format: 'text', + modelId: 'open-mistral-7b', + prompt: 'hi', + }), + ).rejects.toThrow(/Mistral does not expose a public token-count API/); + }); + + it('hits Cohere /v1/tokenize when key is provided (mocked fetch)', async () => { + const originalFetch = globalThis.fetch; + const fetchMock = vi.fn( + async () => + new Response(JSON.stringify({ tokens: [10, 20, 30] }), { + headers: { 'Content-Type': 'application/json' }, + status: 200, + }), + ) as unknown as typeof fetch; + globalThis.fetch = fetchMock; + try { + const result = await tokenizeEmpirical({ + env: { cohereApiKey: 'co-test' }, + format: 'text', + modelId: 'command-r-plus', + prompt: 'hello', + }); + expect(result.approximate).toBe(false); + expect(result.inputTokens).toBe(3); + expect(result.inputCost).toBeGreaterThan(0); + expect(result.provider).toBe('cohere'); + expect(fetchMock).toHaveBeenCalledTimes(1); + } finally { + globalThis.fetch = originalFetch; + } + }); + + it('throws a clear error when Cohere key is missing', async () => { + await expect( + tokenizeEmpirical({ + env: {}, + format: 'text', + modelId: 'command-r-plus', + prompt: 'hi', + }), + ).rejects.toThrow(/COHERE_API_KEY/); + }); }); describe('tokenizeMatrixEmpirical', () => { diff --git a/packages/core/src/empirical.ts b/packages/core/src/empirical.ts index 27fc327..829f6dd 100644 --- a/packages/core/src/empirical.ts +++ b/packages/core/src/empirical.ts @@ -3,25 +3,39 @@ import { GoogleGenerativeAI } from '@google/generative-ai'; import { encode as encodeO200k } from 'gpt-tokenizer/encoding/o200k_base'; import { toFormat } from './convert.js'; import { getModel, getRate } from './rates.js'; +import { cohereTokenizeApi } from './tokenize-cohere.js'; import type { Format, Provider, TokenizeResult } from './types.js'; export interface EmpiricalCountResult { count: number; exact: true; - source: 'anthropic-count' | 'gemini-count' | 'tiktoken-o200k'; + source: 'anthropic-count' | 'cohere-tokenize' | 'gemini-count' | 'tiktoken-o200k'; } export interface EmpiricalEnv { anthropicApiKey?: string; + cohereApiKey?: string; googleApiKey?: string; + // Used by `--latency` mode (see latency.ts). Not consumed by the + // countTokens-based empirical path. + mistralApiKey?: string; + openaiApiKey?: string; } +const ENV_VAR_NAME: Record = { + anthropicApiKey: 'ANTHROPIC_API_KEY', + cohereApiKey: 'COHERE_API_KEY', + googleApiKey: 'GOOGLE_API_KEY', + mistralApiKey: 'MISTRAL_API_KEY', + openaiApiKey: 'OPENAI_API_KEY', +}; + const requireKey = (env: EmpiricalEnv, key: keyof EmpiricalEnv, provider: Provider): string => { const value = env[key]; if (!value) { - throw new Error( - `${provider} empirical mode requires ${key === 'anthropicApiKey' ? 'ANTHROPIC_API_KEY' : 'GOOGLE_API_KEY'} (or GEMINI_API_KEY)`, - ); + const envName = + key === 'googleApiKey' ? `${ENV_VAR_NAME[key]} (or GEMINI_API_KEY)` : ENV_VAR_NAME[key]; + throw new Error(`${provider} empirical mode requires ${envName}`); } return value; }; @@ -68,6 +82,16 @@ const countOpenAi = (text: string): EmpiricalCountResult => ({ source: 'tiktoken-o200k', }); +const countCohere = async ( + text: string, + modelId: string, + env: EmpiricalEnv, +): Promise => { + const apiKey = requireKey(env, 'cohereApiKey', 'cohere'); + const count = await cohereTokenizeApi(text, modelId, apiKey); + return { count, exact: true, source: 'cohere-tokenize' }; +}; + export interface TokenizeEmpiricalOptions { env: EmpiricalEnv; format: Format; @@ -92,6 +116,20 @@ export const tokenizeEmpirical = async ( case 'openai': result = countOpenAi(converted); break; + case 'cohere': + result = await countCohere(converted, model.id, options.env); + break; + case 'mistral': + // Mistral does not expose a public free token-count endpoint as of + // May 2026 (see .planning/research/mistral-integration.md). Refuse + // empirical mode rather than silently falling back to the offline + // path — that would violate the `--empirical` contract (count is + // exact). Users who want exact counts can call a metered chat + // completion and read back `usage.prompt_tokens` themselves. + throw new Error( + 'Mistral does not expose a public token-count API; offline mode only. ' + + 'For exact counts, send a chat completion to Mistral and read `usage.prompt_tokens`.', + ); } return { approximate: false, diff --git a/packages/core/src/index.ts b/packages/core/src/index.ts index 77dd2df..32b2336 100644 --- a/packages/core/src/index.ts +++ b/packages/core/src/index.ts @@ -5,12 +5,17 @@ export { tokenizeEmpirical, tokenizeMatrixEmpirical } from './empirical.js'; export type { EmpiricalCountResult, EmpiricalEnv } from './empirical.js'; export { toSarif } from './format-sarif.js'; export type { TokenometerFileResult, TokenometerResult, ToSarifOptions } from './format-sarif.js'; +export { measureLatency, nthPercentile } from './latency.js'; +export type { LatencyDeps, MeasureLatencyOptions } from './latency.js'; export { KNOWN_MODELS, MODELS, RATES, RATES_VERSION, getModel, getRate } from './rates.js'; export { countTokens, tokenize, tokenizeMatrix } from './tokenize.js'; export type { CountResult } from './tokenize.js'; export type { EmpiricalResult, Format, + LatencyResult, + LatencyStats, + LatencyTrial, ModelDescriptor, Provider, RateEntry, diff --git a/packages/core/src/latency.test.ts b/packages/core/src/latency.test.ts new file mode 100644 index 0000000..e635971 --- /dev/null +++ b/packages/core/src/latency.test.ts @@ -0,0 +1,357 @@ +import { beforeEach, describe, expect, it, vi } from 'vitest'; + +const mockAnthropicStream = vi.fn(); +const mockGoogleStream = vi.fn(); + +vi.mock('@anthropic-ai/sdk', () => ({ + default: vi.fn().mockImplementation(() => ({ + messages: { stream: mockAnthropicStream }, + })), +})); + +vi.mock('@google/generative-ai', () => ({ + GoogleGenerativeAI: vi.fn().mockImplementation(() => ({ + getGenerativeModel: () => ({ generateContentStream: mockGoogleStream }), + })), +})); + +const { measureLatency, nthPercentile } = await import('./latency.js'); +import type { LatencyTrial, MeasureLatencyOptions } from './latency.js'; +import type { Provider } from './types.js'; + +const makeTrial = (ttftMs: number, totalMs: number, outputTokens = 100): LatencyTrial => ({ + ttftMs, + totalMs, + outputTokens, + tokensPerSec: (outputTokens / Math.max(totalMs - ttftMs, 1)) * 1000, +}); + +describe('nthPercentile', () => { + it('returns 0 for an empty list', () => { + expect(nthPercentile([], 50)).toBe(0); + }); + + it('returns the only value for a single-element list', () => { + expect(nthPercentile([42], 50)).toBe(42); + expect(nthPercentile([42], 95)).toBe(42); + }); + + it('linearly interpolates between sorted samples', () => { + expect(nthPercentile([10, 20, 30], 50)).toBe(20); + // p100 over any list returns max + expect(nthPercentile([10, 20, 30], 100)).toBe(30); + // p95 over n=3: rank = 0.95*(3-1) = 1.9 → between idx 1 (20) and idx 2 (30), 90% toward 30 → 29 + expect(nthPercentile([10, 20, 30], 95)).toBeCloseTo(29, 5); + }); + + it('is order-independent (sorts internally)', () => { + expect(nthPercentile([30, 10, 20], 50)).toBe(20); + }); +}); + +describe('measureLatency (mocked trial runner)', () => { + beforeEach(() => { + mockAnthropicStream.mockReset(); + mockGoogleStream.mockReset(); + }); + + const opts = (overrides: Partial = {}): MeasureLatencyOptions => ({ + env: { anthropicApiKey: 'sk-test' }, + modelId: 'claude-opus-4-7', + prompt: 'hi', + trials: 3, + ...overrides, + }); + + it('runs N trials and reports p50/p95/mean over them', async () => { + const trials = [makeTrial(100, 500), makeTrial(150, 600), makeTrial(200, 700)]; + let i = 0; + const result = await measureLatency(opts(), { + trialRunner: async () => trials[i++] as LatencyTrial, + }); + expect(result.trials).toHaveLength(3); + expect(result.p50.ttftMs).toBe(150); + expect(result.p50.totalMs).toBe(600); + // p95 over 3 trials: linear interp at rank 1.9 → 90% from idx 1 to idx 2 + expect(result.p95.ttftMs).toBeCloseTo(195, 5); + expect(result.p95.totalMs).toBeCloseTo(690, 5); + expect(result.mean.ttftMs).toBe(150); + expect(result.mean.totalMs).toBeCloseTo(600, 0); + }); + + it('accepts trials=1 and returns the single trial in p50/p95/mean', async () => { + const result = await measureLatency(opts({ trials: 1 }), { + trialRunner: async () => makeTrial(123, 456), + }); + expect(result.trials).toHaveLength(1); + expect(result.p50.ttftMs).toBe(123); + expect(result.p95.ttftMs).toBe(123); + expect(result.mean.ttftMs).toBe(123); + }); + + it('retries a failed trial once before throwing', async () => { + let calls = 0; + const trial = makeTrial(100, 500); + const runner = vi.fn(async () => { + calls++; + if (calls === 1) throw new Error('transient'); + return trial; + }); + const result = await measureLatency(opts({ trials: 1 }), { trialRunner: runner }); + expect(runner).toHaveBeenCalledTimes(2); + expect(result.trials[0]).toEqual(trial); + }); + + it('throws when both attempts fail with the original provider message', async () => { + const runner = vi.fn(async () => { + throw new Error('rate-limited 429'); + }); + await expect(measureLatency(opts({ trials: 1 }), { trialRunner: runner })).rejects.toThrow( + /rate-limited 429/, + ); + expect(runner).toHaveBeenCalledTimes(2); + }); + + it('passes the resolved provider through to the trial runner', async () => { + const seen: Provider[] = []; + const runner = async (provider: Provider) => { + seen.push(provider); + return makeTrial(100, 500); + }; + await measureLatency(opts({ modelId: 'gpt-4o', env: { openaiApiKey: 'sk-x' }, trials: 1 }), { + trialRunner: runner, + }); + expect(seen).toEqual(['openai']); + }); + + it('computes tokensPerSec from outputTokens / (totalMs - ttftMs)', async () => { + // 200 tokens generated in 800 ms (after 200 ms TTFT) → 250 tokens/sec + const result = await measureLatency(opts({ trials: 1 }), { + trialRunner: async () => makeTrial(200, 1000, 200), + }); + expect(result.trials[0]?.tokensPerSec).toBeCloseTo(250, 0); + expect(result.p50.tokensPerSec).toBeCloseTo(250, 0); + }); +}); + +describe('measureLatency (provider trial runners, mocked I/O)', () => { + beforeEach(() => { + mockAnthropicStream.mockReset(); + mockGoogleStream.mockReset(); + }); + + it('Anthropic: tracks TTFT on first text_delta and outputTokens from message_delta usage', async () => { + // Build an async iterable yielding Anthropic stream events. + mockAnthropicStream.mockImplementation(() => ({ + [Symbol.asyncIterator]: async function* () { + yield { type: 'message_start', message: { usage: { output_tokens: 0 } } }; + yield { type: 'content_block_start', index: 0 }; + yield { type: 'content_block_delta', delta: { type: 'text_delta', text: 'hello' } }; + yield { type: 'content_block_delta', delta: { type: 'text_delta', text: ' world' } }; + yield { type: 'message_delta', usage: { output_tokens: 47 } }; + yield { type: 'message_stop' }; + }, + })); + const result = await measureLatency({ + env: { anthropicApiKey: 'sk-test' }, + modelId: 'claude-opus-4-7', + prompt: 'hi', + trials: 1, + }); + expect(result.trials).toHaveLength(1); + expect(result.trials[0]?.outputTokens).toBe(47); + // ttft / total are wall-clock so we just assert non-negative bounds + expect(result.trials[0]?.ttftMs).toBeGreaterThanOrEqual(0); + expect(result.trials[0]?.totalMs).toBeGreaterThanOrEqual(result.trials[0]?.ttftMs ?? 0); + }); + + it('Anthropic: throws when ANTHROPIC_API_KEY is missing', async () => { + await expect( + measureLatency({ + env: {}, + modelId: 'claude-opus-4-7', + prompt: 'hi', + trials: 1, + }), + ).rejects.toThrow(/ANTHROPIC_API_KEY/); + }); + + it('Google: tracks TTFT on first non-empty chunk and outputTokens from usageMetadata', async () => { + mockGoogleStream.mockImplementation(async () => ({ + stream: { + [Symbol.asyncIterator]: async function* () { + yield { text: () => 'hi', usageMetadata: { candidatesTokenCount: 0 } }; + yield { text: () => ' there', usageMetadata: { candidatesTokenCount: 31 } }; + }, + }, + })); + const result = await measureLatency({ + env: { googleApiKey: 'AIza-x' }, + modelId: 'gemini-2.5-pro', + prompt: 'hi', + trials: 1, + }); + expect(result.trials[0]?.outputTokens).toBe(31); + }); + + it('Google: throws when GOOGLE_API_KEY is missing', async () => { + await expect( + measureLatency({ + env: {}, + modelId: 'gemini-2.5-pro', + prompt: 'hi', + trials: 1, + }), + ).rejects.toThrow(/GOOGLE_API_KEY/); + }); + + it('OpenAI: parses SSE stream, picks up TTFT on first delta.content, usage on the final event', async () => { + const sseBody = [ + 'data: {"choices":[{"delta":{"role":"assistant"}}]}\n\n', + 'data: {"choices":[{"delta":{"content":"hello"}}]}\n\n', + 'data: {"choices":[{"delta":{"content":" world"}}]}\n\n', + 'data: {"choices":[{"delta":{},"finish_reason":"stop"}],"usage":{"completion_tokens":17}}\n\n', + 'data: [DONE]\n\n', + ].join(''); + const fetchMock = vi.fn( + async () => + new Response(sseBody, { + headers: { 'Content-Type': 'text/event-stream' }, + status: 200, + }), + ) as unknown as typeof fetch; + const result = await measureLatency( + { + env: { openaiApiKey: 'sk-test' }, + modelId: 'gpt-4o', + prompt: 'hi', + trials: 1, + }, + { fetchImpl: fetchMock }, + ); + expect(result.trials[0]?.outputTokens).toBe(17); + expect(fetchMock).toHaveBeenCalledTimes(1); + }); + + it('OpenAI: throws when OPENAI_API_KEY is missing', async () => { + await expect( + measureLatency({ + env: {}, + modelId: 'gpt-4o', + prompt: 'hi', + trials: 1, + }), + ).rejects.toThrow(/OPENAI_API_KEY/); + }); + + it('OpenAI: throws on non-2xx response', async () => { + const fetchMock = vi.fn( + async () => new Response('forbidden', { status: 403, statusText: 'Forbidden' }), + ) as unknown as typeof fetch; + await expect( + measureLatency( + { env: { openaiApiKey: 'bad' }, modelId: 'gpt-4o', prompt: 'hi', trials: 1 }, + { fetchImpl: fetchMock }, + ), + ).rejects.toThrow(/OpenAI .* 403/); + }); + + it('Mistral: parses SSE stream and extracts usage', async () => { + const sseBody = [ + 'data: {"choices":[{"delta":{"role":"assistant"}}]}\n\n', + 'data: {"choices":[{"delta":{"content":"bonjour"}}]}\n\n', + 'data: {"choices":[{"delta":{},"finish_reason":"stop"}],"usage":{"completion_tokens":9}}\n\n', + 'data: [DONE]\n\n', + ].join(''); + const fetchMock = vi.fn( + async () => + new Response(sseBody, { + headers: { 'Content-Type': 'text/event-stream' }, + status: 200, + }), + ) as unknown as typeof fetch; + const result = await measureLatency( + { + env: { mistralApiKey: 'mi-test' }, + modelId: 'open-mistral-7b', + prompt: 'hi', + trials: 1, + }, + { fetchImpl: fetchMock }, + ); + expect(result.trials[0]?.outputTokens).toBe(9); + }); + + it('Mistral: throws when MISTRAL_API_KEY is missing', async () => { + await expect( + measureLatency({ + env: {}, + modelId: 'open-mistral-7b', + prompt: 'hi', + trials: 1, + }), + ).rejects.toThrow(/MISTRAL_API_KEY/); + }); + + it('Cohere: parses NDJSON stream and extracts output_tokens from stream-end', async () => { + const ndjson = [ + JSON.stringify({ event_type: 'stream-start', generation_id: 'x' }), + JSON.stringify({ event_type: 'text-generation', text: 'hi' }), + JSON.stringify({ event_type: 'text-generation', text: ' there' }), + JSON.stringify({ + event_type: 'stream-end', + finish_reason: 'COMPLETE', + response: { meta: { tokens: { output_tokens: 13 } } }, + }), + '', + ].join('\n'); + const fetchMock = vi.fn( + async () => + new Response(ndjson, { + headers: { 'Content-Type': 'application/stream+json' }, + status: 200, + }), + ) as unknown as typeof fetch; + const result = await measureLatency( + { + env: { cohereApiKey: 'co-test' }, + modelId: 'command-r-plus', + prompt: 'hi', + trials: 1, + }, + { fetchImpl: fetchMock }, + ); + expect(result.trials[0]?.outputTokens).toBe(13); + }); + + it('Cohere: throws when COHERE_API_KEY is missing', async () => { + await expect( + measureLatency({ + env: {}, + modelId: 'command-r-plus', + prompt: 'hi', + trials: 1, + }), + ).rejects.toThrow(/COHERE_API_KEY/); + }); +}); + +describe('LatencyResult shape', () => { + it('always exposes trials, p50, p95, and mean with the same field set', async () => { + const result = await measureLatency( + { + env: { anthropicApiKey: 'sk' }, + modelId: 'claude-opus-4-7', + prompt: 'hi', + trials: 2, + }, + { + trialRunner: async () => makeTrial(50, 200, 80), + }, + ); + expect(Object.keys(result).sort()).toEqual(['mean', 'p50', 'p95', 'trials']); + for (const key of ['p50', 'p95', 'mean'] as const) { + expect(Object.keys(result[key]).sort()).toEqual(['tokensPerSec', 'totalMs', 'ttftMs']); + } + }); +}); diff --git a/packages/core/src/latency.ts b/packages/core/src/latency.ts new file mode 100644 index 0000000..385e99c --- /dev/null +++ b/packages/core/src/latency.ts @@ -0,0 +1,483 @@ +// Real-generation latency measurement. +// +// Unlike `tokenizeEmpirical` (which calls the free `countTokens` endpoints), +// this dispatches a real metered streaming generation per provider and +// measures wall-clock TTFT (time to first token) + total stream duration + +// tokens/sec from the actual output. Reported as p50/p95/mean over `trials` +// runs so callers see a stable distribution rather than a single noisy run. +// +// Cost note: every trial is a metered chat completion. The CLI bumps the +// default `--max-spend` ceiling when `--latency` is on; see args.ts. + +import Anthropic from '@anthropic-ai/sdk'; +import { GoogleGenerativeAI } from '@google/generative-ai'; +import type { EmpiricalEnv } from './empirical.js'; +import { getModel } from './rates.js'; +import type { LatencyResult, LatencyStats, LatencyTrial, Provider } from './types.js'; + +export type { LatencyResult, LatencyStats, LatencyTrial }; + +export interface MeasureLatencyOptions { + modelId: string; + prompt: string; + trials: number; + maxTokens?: number; + env: EmpiricalEnv; +} + +const DEFAULT_MAX_TOKENS = 200; + +const ENV_VAR_NAME: Record = { + anthropicApiKey: 'ANTHROPIC_API_KEY', + cohereApiKey: 'COHERE_API_KEY', + googleApiKey: 'GOOGLE_API_KEY', + mistralApiKey: 'MISTRAL_API_KEY', + openaiApiKey: 'OPENAI_API_KEY', +}; + +const requireKey = (env: EmpiricalEnv, key: keyof EmpiricalEnv, provider: Provider): string => { + const value = env[key]; + if (!value) { + const envName = + key === 'googleApiKey' ? `${ENV_VAR_NAME[key]} (or GEMINI_API_KEY)` : ENV_VAR_NAME[key]; + throw new Error(`${provider} latency mode requires ${envName}`); + } + return value; +}; + +/** + * Linear-interpolation percentile. `p` is 0-100. With p95 over n=3 trials this + * just returns max(values), which is what we want for the "tail" reading. + */ +const nthPercentile = (values: readonly number[], p: number): number => { + if (values.length === 0) return 0; + const sorted = [...values].sort((a, b) => a - b); + if (sorted.length === 1) return sorted[0] as number; + const rank = (p / 100) * (sorted.length - 1); + const lower = Math.floor(rank); + const upper = Math.ceil(rank); + const lowerValue = sorted[lower] as number; + if (lower === upper) return lowerValue; + const upperValue = sorted[upper] as number; + return lowerValue + (upperValue - lowerValue) * (rank - lower); +}; + +const mean = (values: readonly number[]): number => { + if (values.length === 0) return 0; + let sum = 0; + for (const v of values) sum += v; + return sum / values.length; +}; + +const summarize = (trials: readonly LatencyTrial[]): LatencyResult => { + const ttft = trials.map((t) => t.ttftMs); + const total = trials.map((t) => t.totalMs); + const tps = trials.map((t) => t.tokensPerSec); + return { + trials: [...trials], + p50: { + ttftMs: nthPercentile(ttft, 50), + totalMs: nthPercentile(total, 50), + tokensPerSec: nthPercentile(tps, 50), + }, + p95: { + ttftMs: nthPercentile(ttft, 95), + totalMs: nthPercentile(total, 95), + tokensPerSec: nthPercentile(tps, 95), + }, + mean: { + ttftMs: mean(ttft), + totalMs: mean(total), + tokensPerSec: mean(tps), + }, + }; +}; + +const computeTokensPerSec = (outputTokens: number, ttftMs: number, totalMs: number): number => { + // Avoid divide-by-zero on instant streams (mocked tests, very fast paths). + const generationMs = Math.max(totalMs - ttftMs, 1); + return (outputTokens / generationMs) * 1000; +}; + +// --------------------------------------------------------------------------- +// Per-provider trial runners. Each returns one LatencyTrial. +// --------------------------------------------------------------------------- + +const trialAnthropic = async ( + modelId: string, + prompt: string, + maxTokens: number, + apiKey: string, +): Promise => { + const client = new Anthropic({ apiKey, dangerouslyAllowBrowser: true }); + const start = Date.now(); + let ttftMs = 0; + let outputTokens = 0; + const stream = client.messages.stream({ + max_tokens: maxTokens, + messages: [{ content: prompt, role: 'user' }], + model: modelId, + }); + for await (const event of stream as AsyncIterable) { + const e = event as { + type?: string; + delta?: { type?: string; text?: string }; + usage?: { output_tokens?: number }; + message?: { usage?: { output_tokens?: number } }; + }; + if ( + ttftMs === 0 && + e.type === 'content_block_delta' && + e.delta?.type === 'text_delta' && + typeof e.delta?.text === 'string' && + e.delta.text.length > 0 + ) { + ttftMs = Date.now() - start; + } + if (e.type === 'message_delta' && typeof e.usage?.output_tokens === 'number') { + outputTokens = e.usage.output_tokens; + } + if (e.type === 'message_start' && typeof e.message?.usage?.output_tokens === 'number') { + // initial usage is typically 0 — message_delta carries the running count + } + } + const totalMs = Date.now() - start; + return { + ttftMs: ttftMs || totalMs, + totalMs, + outputTokens, + tokensPerSec: computeTokensPerSec(outputTokens, ttftMs || totalMs, totalMs), + }; +}; + +const trialGoogle = async ( + modelId: string, + prompt: string, + maxTokens: number, + apiKey: string, +): Promise => { + const genAI = new GoogleGenerativeAI(apiKey); + const model = genAI.getGenerativeModel({ + model: modelId, + generationConfig: { maxOutputTokens: maxTokens }, + }); + const start = Date.now(); + let ttftMs = 0; + let outputTokens = 0; + const result = await model.generateContentStream(prompt); + for await (const chunk of result.stream) { + if (ttftMs === 0) { + const text = (chunk as { text?: () => string }).text?.(); + if (text && text.length > 0) ttftMs = Date.now() - start; + } + const usage = (chunk as { usageMetadata?: { candidatesTokenCount?: number } }).usageMetadata; + if (usage && typeof usage.candidatesTokenCount === 'number') { + outputTokens = usage.candidatesTokenCount; + } + } + const totalMs = Date.now() - start; + return { + ttftMs: ttftMs || totalMs, + totalMs, + outputTokens, + tokensPerSec: computeTokensPerSec(outputTokens, ttftMs || totalMs, totalMs), + }; +}; + +/** + * Generic SSE iterator. Yields one parsed JSON object per `data: …` line and + * stops on `data: [DONE]`. Used for OpenAI + Mistral (Cohere has its own + * NDJSON-style stream, see below). + */ +async function* iterSse( + body: ReadableStream, +): AsyncGenerator, void, unknown> { + const reader = body.getReader(); + const decoder = new TextDecoder('utf-8'); + let buf = ''; + while (true) { + const { done, value } = await reader.read(); + if (done) break; + buf += decoder.decode(value, { stream: true }); + // Split on double-newline (SSE event boundary). + while (true) { + const idx = buf.indexOf('\n\n'); + if (idx === -1) break; + const eventBlock = buf.slice(0, idx); + buf = buf.slice(idx + 2); + for (const line of eventBlock.split('\n')) { + if (!line.startsWith('data:')) continue; + const payload = line.slice(5).trim(); + if (payload === '[DONE]' || payload.length === 0) return; + try { + yield JSON.parse(payload) as Record; + } catch { + // skip malformed line + } + } + } + } +} + +const trialOpenAi = async ( + modelId: string, + prompt: string, + maxTokens: number, + apiKey: string, + fetchImpl: typeof fetch = fetch, +): Promise => { + const start = Date.now(); + const response = await fetchImpl('https://api.openai.com/v1/chat/completions', { + method: 'POST', + headers: { + Authorization: `Bearer ${apiKey}`, + 'Content-Type': 'application/json', + }, + body: JSON.stringify({ + model: modelId, + messages: [{ role: 'user', content: prompt }], + max_tokens: maxTokens, + stream: true, + stream_options: { include_usage: true }, + }), + }); + if (!response.ok || !response.body) { + const body = await response.text().catch(() => ''); + throw new Error( + `OpenAI /v1/chat/completions returned ${response.status} ${response.statusText}${body ? `: ${body}` : ''}`, + ); + } + let ttftMs = 0; + let outputTokens = 0; + for await (const ev of iterSse(response.body)) { + const choices = ev.choices as + | { delta?: { content?: string }; finish_reason?: string | null }[] + | undefined; + if (ttftMs === 0 && choices && choices[0]?.delta?.content) ttftMs = Date.now() - start; + const usage = ev.usage as { completion_tokens?: number } | undefined; + if (usage && typeof usage.completion_tokens === 'number') + outputTokens = usage.completion_tokens; + } + const totalMs = Date.now() - start; + return { + ttftMs: ttftMs || totalMs, + totalMs, + outputTokens, + tokensPerSec: computeTokensPerSec(outputTokens, ttftMs || totalMs, totalMs), + }; +}; + +const trialMistral = async ( + modelId: string, + prompt: string, + maxTokens: number, + apiKey: string, + fetchImpl: typeof fetch = fetch, +): Promise => { + const start = Date.now(); + const response = await fetchImpl('https://api.mistral.ai/v1/chat/completions', { + method: 'POST', + headers: { + Authorization: `Bearer ${apiKey}`, + 'Content-Type': 'application/json', + Accept: 'text/event-stream', + }, + body: JSON.stringify({ + model: modelId, + messages: [{ role: 'user', content: prompt }], + max_tokens: maxTokens, + stream: true, + }), + }); + if (!response.ok || !response.body) { + const body = await response.text().catch(() => ''); + throw new Error( + `Mistral /v1/chat/completions returned ${response.status} ${response.statusText}${body ? `: ${body}` : ''}`, + ); + } + let ttftMs = 0; + let outputTokens = 0; + for await (const ev of iterSse(response.body)) { + const choices = ev.choices as { delta?: { content?: string } }[] | undefined; + if (ttftMs === 0 && choices && choices[0]?.delta?.content) ttftMs = Date.now() - start; + const usage = ev.usage as { completion_tokens?: number } | undefined; + if (usage && typeof usage.completion_tokens === 'number') + outputTokens = usage.completion_tokens; + } + const totalMs = Date.now() - start; + return { + ttftMs: ttftMs || totalMs, + totalMs, + outputTokens, + tokensPerSec: computeTokensPerSec(outputTokens, ttftMs || totalMs, totalMs), + }; +}; + +const trialCohere = async ( + modelId: string, + prompt: string, + maxTokens: number, + apiKey: string, + fetchImpl: typeof fetch = fetch, +): Promise => { + // Cohere /v1/chat streams NDJSON (one JSON object per line), not SSE. + // See https://docs.cohere.com/reference/chat for event types + // (stream-start, text-generation, stream-end). + const start = Date.now(); + const response = await fetchImpl('https://api.cohere.com/v1/chat', { + method: 'POST', + headers: { + Authorization: `Bearer ${apiKey}`, + 'Content-Type': 'application/json', + }, + body: JSON.stringify({ + model: modelId, + message: prompt, + max_tokens: maxTokens, + stream: true, + }), + }); + if (!response.ok || !response.body) { + const body = await response.text().catch(() => ''); + throw new Error( + `Cohere /v1/chat returned ${response.status} ${response.statusText}${body ? `: ${body}` : ''}`, + ); + } + const reader = response.body.getReader(); + const decoder = new TextDecoder('utf-8'); + let buf = ''; + let ttftMs = 0; + let outputTokens = 0; + while (true) { + const { done, value } = await reader.read(); + if (done) break; + buf += decoder.decode(value, { stream: true }); + while (true) { + const nl = buf.indexOf('\n'); + if (nl === -1) break; + const line = buf.slice(0, nl).trim(); + buf = buf.slice(nl + 1); + if (!line) continue; + let ev: Record; + try { + ev = JSON.parse(line) as Record; + } catch { + continue; + } + if (ttftMs === 0 && ev.event_type === 'text-generation') ttftMs = Date.now() - start; + if (ev.event_type === 'stream-end') { + const resp = ev.response as { meta?: { tokens?: { output_tokens?: number } } } | undefined; + const out = resp?.meta?.tokens?.output_tokens; + if (typeof out === 'number') outputTokens = out; + } + } + } + const totalMs = Date.now() - start; + return { + ttftMs: ttftMs || totalMs, + totalMs, + outputTokens, + tokensPerSec: computeTokensPerSec(outputTokens, ttftMs || totalMs, totalMs), + }; +}; + +// --------------------------------------------------------------------------- +// Public API +// --------------------------------------------------------------------------- + +/** + * Test seam: callers (tests) can substitute a provider's trial runner. The + * production `measureLatency` always uses the real implementations above. + */ +export interface LatencyDeps { + fetchImpl?: typeof fetch; + trialRunner?: ( + provider: Provider, + modelId: string, + prompt: string, + maxTokens: number, + env: EmpiricalEnv, + ) => Promise; +} + +const defaultTrialRunner = async ( + provider: Provider, + modelId: string, + prompt: string, + maxTokens: number, + env: EmpiricalEnv, + fetchImpl: typeof fetch = fetch, +): Promise => { + switch (provider) { + case 'anthropic': + return trialAnthropic( + modelId, + prompt, + maxTokens, + requireKey(env, 'anthropicApiKey', provider), + ); + case 'google': + return trialGoogle(modelId, prompt, maxTokens, requireKey(env, 'googleApiKey', provider)); + case 'openai': + return trialOpenAi( + modelId, + prompt, + maxTokens, + requireKey(env, 'openaiApiKey', provider), + fetchImpl, + ); + case 'mistral': + return trialMistral( + modelId, + prompt, + maxTokens, + requireKey(env, 'mistralApiKey', provider), + fetchImpl, + ); + case 'cohere': + return trialCohere( + modelId, + prompt, + maxTokens, + requireKey(env, 'cohereApiKey', provider), + fetchImpl, + ); + } +}; + +/** + * Run `trials` real streaming generations and return percentile-summarized + * latency data. Each trial is retried once on failure; if both attempts + * fail, the original provider error is rethrown. + */ +export const measureLatency = async ( + options: MeasureLatencyOptions, + deps: LatencyDeps = {}, +): Promise => { + const provider = getModel(options.modelId).provider; + const maxTokens = options.maxTokens ?? DEFAULT_MAX_TOKENS; + const fetchImpl = deps.fetchImpl ?? fetch; + const runner = + deps.trialRunner ?? + ((p, m, prompt, max, env) => defaultTrialRunner(p, m, prompt, max, env, fetchImpl)); + const trials: LatencyTrial[] = []; + for (let i = 0; i < options.trials; i++) { + let lastErr: unknown; + let success: LatencyTrial | null = null; + for (let attempt = 0; attempt < 2; attempt++) { + try { + success = await runner(provider, options.modelId, options.prompt, maxTokens, options.env); + break; + } catch (err) { + lastErr = err; + } + } + if (!success) { + throw lastErr instanceof Error ? lastErr : new Error(String(lastErr)); + } + trials.push(success); + } + return summarize(trials); +}; + +export { nthPercentile }; diff --git a/packages/core/src/mistral-tokenizer-js.d.ts b/packages/core/src/mistral-tokenizer-js.d.ts new file mode 100644 index 0000000..2bedcef --- /dev/null +++ b/packages/core/src/mistral-tokenizer-js.d.ts @@ -0,0 +1,19 @@ +// Ambient module declaration for `mistral-tokenizer-js` (no types ship upstream). +// +// The package is a single file at `node_modules/mistral-tokenizer-js/mistral-tokenizer.js` +// with `export default mistralTokenizer` where `mistralTokenizer` is an object +// exposing `encode(text, addBos?, addPrecedingSpace?)` → `number[]` and +// `decode(ids, addBos?, addPrecedingSpace?)` → `string`. +// +// We only use `.encode(text)` from `tokenize-mistral.ts`. The signature below +// mirrors the upstream README; defaults add the BOS token and a leading space. + +declare module 'mistral-tokenizer-js' { + interface MistralTokenizer { + encode(text: string, addBos?: boolean, addPrecedingSpace?: boolean): number[]; + decode(ids: readonly number[], addBos?: boolean, addPrecedingSpace?: boolean): string; + } + + const mistralTokenizer: MistralTokenizer; + export default mistralTokenizer; +} diff --git a/packages/core/src/rates.test.ts b/packages/core/src/rates.test.ts index 28d1cf6..c97ec89 100644 --- a/packages/core/src/rates.test.ts +++ b/packages/core/src/rates.test.ts @@ -22,10 +22,29 @@ describe('rates', () => { it('every model carries a provider', () => { for (const modelId of KNOWN_MODELS) { - expect(MODELS[modelId]?.provider).toMatch(/^(anthropic|google|openai)$/); + expect(MODELS[modelId]?.provider).toMatch(/^(anthropic|cohere|google|mistral|openai)$/); } }); + it('catalog includes Mistral models from tokenlens', () => { + // open-mistral-7b is a stable id Mistral has shipped since 2023. + expect(KNOWN_MODELS).toContain('open-mistral-7b'); + expect(MODELS['open-mistral-7b']?.provider).toBe('mistral'); + // mistral-nemo is the canary Tekken-family model. + expect(KNOWN_MODELS).toContain('mistral-nemo'); + expect(MODELS['mistral-nemo']?.provider).toBe('mistral'); + }); + + it('catalog includes Cohere models via local overrides', () => { + // tokenlens does not ship a Cohere catalog at v1.3.0 — these come from + // LOCAL_OVERRIDES. Update once tokenlens adds Cohere upstream. + expect(KNOWN_MODELS).toContain('command-r-plus'); + expect(MODELS['command-r-plus']?.provider).toBe('cohere'); + expect(MODELS['command-r-plus']?.pricingSource).toBe('local'); + expect(KNOWN_MODELS).toContain('command-r'); + expect(MODELS['command-r']?.provider).toBe('cohere'); + }); + it('canary pricing for stable upstream models matches expected dollars', () => { expect(getRate('gpt-4o').inputPer1k).toBe(0.0025); expect(getRate('gpt-4o').outputPer1k).toBe(0.01); diff --git a/packages/core/src/rates.ts b/packages/core/src/rates.ts index 59afc1e..f3da87e 100644 --- a/packages/core/src/rates.ts +++ b/packages/core/src/rates.ts @@ -1,19 +1,24 @@ import type { ProvidersCatalog } from '@tokenlens/core'; import anthropicProvider from '@tokenlens/models/anthropic'; import googleProvider from '@tokenlens/models/google'; +import mistralProvider from '@tokenlens/models/mistral'; import openaiProvider from '@tokenlens/models/openai'; import { getContext, getTokenCosts } from 'tokenlens'; import type { ModelDescriptor, Provider, RateEntry } from './types.js'; -export const RATES_VERSION = '2026-05-08'; +export const RATES_VERSION = '2026-05-09'; +// `@tokenlens/models` does not yet ship a Cohere catalog (verified against +// node_modules/@tokenlens/models/dist/providers/ at v1.3.0). When upstream +// adds it, drop the Cohere LOCAL_OVERRIDES entry and add the import here. const CATALOG: ProvidersCatalog = { anthropic: anthropicProvider, google: googleProvider, + mistral: mistralProvider, openai: openaiProvider, }; -const PROVIDERS: readonly Provider[] = ['anthropic', 'google', 'openai']; +const PROVIDERS: readonly Provider[] = ['anthropic', 'google', 'mistral', 'openai']; interface RegistryEntry { rate: RateEntry; @@ -22,6 +27,10 @@ interface RegistryEntry { // Bleeding-edge models tokenlens hasn't picked up from upstream yet. // Remove an entry once `scripts/check-overrides.mjs` reports it landed. +// +// Cohere entries are also here because `@tokenlens/models` does not yet +// ship a Cohere catalog at all (v1.3.0). Pricing pulled from the published +// Cohere pricing page (cohere.com/pricing) at RATES_VERSION date. const LOCAL_OVERRIDES: Record = { 'claude-haiku-4-5': { rate: { cachedInputPer1k: 0.0001, inputPer1k: 0.001, outputPer1k: 0.005 }, @@ -53,6 +62,26 @@ const LOCAL_OVERRIDES: Record = { provider: 'anthropic', }, }, + 'command-r': { + rate: { inputPer1k: 0.00015, outputPer1k: 0.0006 }, + descriptor: { + contextWindow: 128_000, + id: 'command-r', + maxOutputTokens: 4096, + pricingSource: 'local', + provider: 'cohere', + }, + }, + 'command-r-plus': { + rate: { inputPer1k: 0.0025, outputPer1k: 0.01 }, + descriptor: { + contextWindow: 128_000, + id: 'command-r-plus', + maxOutputTokens: 4096, + pricingSource: 'local', + provider: 'cohere', + }, + }, }; // Raw models.dev catalog data has no explicit status field; infer "preview" from diff --git a/packages/core/src/tokenize-cohere.test.ts b/packages/core/src/tokenize-cohere.test.ts new file mode 100644 index 0000000..af0139f --- /dev/null +++ b/packages/core/src/tokenize-cohere.test.ts @@ -0,0 +1,61 @@ +import { describe, expect, it, vi } from 'vitest'; +import { cohereCount, cohereTokenizeApi } from './tokenize-cohere.js'; + +describe('cohereCount (offline)', () => { + it('returns chars/4 heuristic count flagged approximate', () => { + const result = cohereCount('a'.repeat(20)); + expect(result.tokens).toBe(5); + expect(result.approximate).toBe(true); + expect(result.tokenizer).toBe('heuristic'); + }); + + it('count scales with input length', () => { + const short = cohereCount('hi'); + const long = cohereCount('hi'.repeat(200)); + expect(long.tokens).toBeGreaterThan(short.tokens); + }); +}); + +describe('cohereTokenizeApi (empirical, mocked)', () => { + it('POSTs to /v1/tokenize with bearer auth and returns tokens.length', async () => { + const fetchMock = vi.fn( + async () => + new Response(JSON.stringify({ tokens: [1, 2, 3, 4, 5] }), { + headers: { 'Content-Type': 'application/json' }, + status: 200, + }), + ) as unknown as typeof fetch; + + const count = await cohereTokenizeApi('hello', 'command-r-plus', 'fake-key', fetchMock); + expect(count).toBe(5); + + expect(fetchMock).toHaveBeenCalledTimes(1); + const [url, init] = (fetchMock as unknown as ReturnType).mock.calls[0]; + expect(url).toBe('https://api.cohere.com/v1/tokenize'); + expect(init.method).toBe('POST'); + expect(init.headers.Authorization).toBe('Bearer fake-key'); + expect(JSON.parse(init.body)).toEqual({ model: 'command-r-plus', text: 'hello' }); + }); + + it('throws a clear error on non-2xx', async () => { + const fetchMock = vi.fn( + async () => new Response('unauthorized', { status: 401, statusText: 'Unauthorized' }), + ) as unknown as typeof fetch; + await expect(cohereTokenizeApi('hi', 'command-r', 'bad-key', fetchMock)).rejects.toThrow( + /Cohere \/v1\/tokenize returned 401/, + ); + }); + + it('throws when response shape is unexpected', async () => { + const fetchMock = vi.fn( + async () => + new Response(JSON.stringify({ ok: true }), { + headers: { 'Content-Type': 'application/json' }, + status: 200, + }), + ) as unknown as typeof fetch; + await expect(cohereTokenizeApi('hi', 'command-r', 'k', fetchMock)).rejects.toThrow( + /unexpected shape/, + ); + }); +}); diff --git a/packages/core/src/tokenize-cohere.ts b/packages/core/src/tokenize-cohere.ts new file mode 100644 index 0000000..1ec32dd --- /dev/null +++ b/packages/core/src/tokenize-cohere.ts @@ -0,0 +1,72 @@ +// Cohere tokenizer dispatch. +// +// Cohere ships their tokenizers as `tokenizer.json` files on HuggingFace +// (e.g. `Cohere/command-r-plus`). The `cohere-ai` SDK is a thin REST client +// — it does NOT bundle an offline tokenizer, only a `client.tokenize()` +// method that hits Cohere's API. Confirmed against `cohere-ai@8.0.0` at the +// time of writing (May 2026). So: +// +// * Offline mode: chars/4 heuristic, `approximate: true`. Same accuracy +// tier as the Google heuristic in tokenize.ts. +// +// * Empirical mode: POST https://api.cohere.com/v1/tokenize. The endpoint +// is free and very low latency. Wired in `empirical.ts`. +// +// We deliberately do NOT depend on `cohere-ai` for the empirical path — it +// is a 4.9 MB SDK and we only need one POST. Native `fetch` keeps the +// install footprint identical to the offline-only build. +// +// Future upgrade: once `@huggingface/tokenizers` is stable (Path D in the +// research memo), lazy-load `tokenizer.json` per Cohere model from HF Hub +// for exact offline counts. + +const COHERE_HEURISTIC_CHARS_PER_TOKEN = 4; + +export interface CohereCountResult { + approximate: true; + tokens: number; + tokenizer: 'heuristic'; +} + +export const cohereCount = (text: string): CohereCountResult => ({ + approximate: true, + tokens: Math.ceil(text.length / COHERE_HEURISTIC_CHARS_PER_TOKEN), + tokenizer: 'heuristic', +}); + +/** + * Hits Cohere's `POST /v1/tokenize` endpoint. The response shape we care + * about is `{ tokens: number[] }`; only `tokens.length` is used. + * + * Endpoint reference: https://docs.cohere.com/reference/tokenize + * + * Returns the exact token count. Pulled out of `empirical.ts` so the + * dependency surface (one fetch call, no SDK) stays here next to the + * offline path it complements. + */ +export const cohereTokenizeApi = async ( + text: string, + modelId: string, + apiKey: string, + fetchImpl: typeof fetch = fetch, +): Promise => { + const response = await fetchImpl('https://api.cohere.com/v1/tokenize', { + body: JSON.stringify({ model: modelId, text }), + headers: { + Authorization: `Bearer ${apiKey}`, + 'Content-Type': 'application/json', + }, + method: 'POST', + }); + if (!response.ok) { + const body = await response.text().catch(() => ''); + throw new Error( + `Cohere /v1/tokenize returned ${response.status} ${response.statusText}${body ? `: ${body}` : ''}`, + ); + } + const data = (await response.json()) as { tokens?: number[] }; + if (!Array.isArray(data.tokens)) { + throw new Error('Cohere /v1/tokenize returned an unexpected shape (no tokens array).'); + } + return data.tokens.length; +}; diff --git a/packages/core/src/tokenize-mistral.test.ts b/packages/core/src/tokenize-mistral.test.ts new file mode 100644 index 0000000..cbb680b --- /dev/null +++ b/packages/core/src/tokenize-mistral.test.ts @@ -0,0 +1,59 @@ +import { describe, expect, it } from 'vitest'; +import { isTekken, mistralCount } from './tokenize-mistral.js'; + +describe('isTekken', () => { + it('classifies known Tekken-family models as Tekken', () => { + expect(isTekken('mistral-nemo')).toBe(true); + expect(isTekken('pixtral-12b')).toBe(true); + expect(isTekken('pixtral-large-latest')).toBe(true); + expect(isTekken('mistral-medium-2505')).toBe(true); + expect(isTekken('magistral-small')).toBe(true); + expect(isTekken('ministral-3b-latest')).toBe(true); + expect(isTekken('devstral-small-2505')).toBe(true); + }); + + it('classifies SentencePiece-era ids as not Tekken', () => { + expect(isTekken('open-mistral-7b')).toBe(false); + expect(isTekken('open-mixtral-8x7b')).toBe(false); + expect(isTekken('open-mixtral-8x22b')).toBe(false); + expect(isTekken('codestral-latest')).toBe(false); + expect(isTekken('mistral-large-latest')).toBe(false); + }); +}); + +describe('mistralCount', () => { + it('uses the SentencePiece tokenizer for V1/V2/V3 models', () => { + const result = mistralCount('Hello, world!', 'open-mistral-7b'); + expect(result.tokenizer).toBe('mistral_v1_v3'); + expect(result.approximate).toBe(true); + // mistral-tokenizer-js prepends BOS + leading space → at minimum a few tokens. + expect(result.tokens).toBeGreaterThan(0); + }); + + it('SentencePiece counts scale with input length', () => { + const short = mistralCount('hi', 'open-mistral-7b'); + const long = mistralCount('hi '.repeat(200), 'open-mistral-7b'); + expect(long.tokens).toBeGreaterThan(short.tokens); + }); + + it('falls back to chars/4 heuristic for Tekken models', () => { + // 16 chars → ceil(16 / 4) = 4 tokens. + const text = 'a'.repeat(16); + const result = mistralCount(text, 'mistral-nemo'); + expect(result.tokenizer).toBe('heuristic'); + expect(result.approximate).toBe(true); + expect(result.tokens).toBe(4); + }); + + it('Tekken heuristic and SentencePiece path can disagree (sanity: same input, different tokens)', () => { + const text = 'The quick brown fox jumps over the lazy dog.'; + const sp = mistralCount(text, 'open-mistral-7b'); + const tk = mistralCount(text, 'mistral-nemo'); + // Different families, different counts — test only that both produce something positive. + expect(sp.tokens).toBeGreaterThan(0); + expect(tk.tokens).toBeGreaterThan(0); + // Both paths are flagged approximate (the contract is uniform). + expect(sp.approximate).toBe(true); + expect(tk.approximate).toBe(true); + }); +}); diff --git a/packages/core/src/tokenize-mistral.ts b/packages/core/src/tokenize-mistral.ts new file mode 100644 index 0000000..a2fe86e --- /dev/null +++ b/packages/core/src/tokenize-mistral.ts @@ -0,0 +1,84 @@ +// Mistral tokenizer dispatch. +// +// Mistral has shipped two tokenizer families: +// +// 1. SentencePiece (V1/V2/V3) — the "classic" Mistral family. Covered by +// `mistral-tokenizer-js` (mistralTokenizer.encode → number[]). Models: +// Mistral 7B (v0.1/v0.2/v0.3), Mixtral 8x7B / 8x22B, +// Mistral Large 2407, Mistral Small 2402, Codestral 22B. +// +// 2. Tekken — a tiktoken-style 128k BPE introduced with Mistral NeMo +// (Jul 2024). Used by NeMo, Pixtral, Mistral Small 2409+, Devstral, +// Mistral Medium 2505+, Magistral, Ministral. NOT covered by +// `mistral-tokenizer-js`. Applying SentencePiece to Tekken models would +// give systematically wrong counts (different vocab, ~32k vs ~128k), so +// we fall back to the same `chars/4` heuristic used for Google. +// +// Both paths set `approximate: true` because: +// - Mistral does not publish an offline reference tokenizer for newer +// models, and even the SentencePiece path is "compatible with most" +// per the upstream README — no formal validation guarantee. +// - Mistral has no public free /v1/tokenize endpoint as of May 2026, so +// there's no empirical anchor available either. +// +// Future upgrade path (Path D in the research memo): once +// `@huggingface/tokenizers` reaches v1.0, lazy-load `tokenizer.json` per +// model for exact counts behind an opt-in flag. + +import mistralTokenizer from 'mistral-tokenizer-js'; +import type { TokenizerKind } from './types.js'; + +/** + * Mistral model IDs that use the Tekken tokenizer (post-NeMo families). + * + * Cross-reference list curated from the integration memo. Update as Mistral + * releases new model IDs; default-on-unknown is heuristic too, so this set + * is allowlist-style for SentencePiece, not the other way around. + */ +const TEKKEN_MODELS: ReadonlySet = new Set([ + 'mistral-nemo', + 'pixtral-12b', + 'pixtral-large-latest', + 'mistral-small-latest', + 'devstral-small-2505', + 'devstral-small-2507', + 'devstral-medium-2507', + 'mistral-medium-2505', + 'mistral-medium-2508', + 'mistral-medium-latest', + 'magistral-small', + 'magistral-medium-latest', + 'ministral-3b-latest', + 'ministral-8b-latest', +]); + +export const isTekken = (modelId: string): boolean => TEKKEN_MODELS.has(modelId); + +const MISTRAL_HEURISTIC_CHARS_PER_TOKEN = 4; + +const heuristicCount = (text: string): number => + Math.ceil(text.length / MISTRAL_HEURISTIC_CHARS_PER_TOKEN); + +export interface MistralCountResult { + approximate: true; + tokens: number; + tokenizer: 'heuristic' | 'mistral_v1_v3'; +} + +/** + * Count tokens for a Mistral model. Always `approximate: true` (see file + * header). For SentencePiece models, returns the `mistral-tokenizer-js` + * count (BOS token included, matching the library's default). For Tekken + * models (and any unknown ID — defensive), returns a `chars/4` heuristic. + */ +export const mistralCount = (text: string, modelId: string): MistralCountResult => { + if (isTekken(modelId)) { + return { approximate: true, tokens: heuristicCount(text), tokenizer: 'heuristic' }; + } + // SentencePiece path. `encode()` returns number[] including the BOS token + // by default — this matches what Mistral's chat completions endpoint + // would actually charge for, so we do not strip it. + const ids = mistralTokenizer.encode(text); + const tokenizer: TokenizerKind = 'mistral_v1_v3'; + return { approximate: true, tokens: ids.length, tokenizer }; +}; diff --git a/packages/core/src/tokenize.test.ts b/packages/core/src/tokenize.test.ts index 82b3fd1..60e5ba9 100644 --- a/packages/core/src/tokenize.test.ts +++ b/packages/core/src/tokenize.test.ts @@ -21,6 +21,25 @@ describe('countTokens', () => { expect(result.tokenizer).toBe('heuristic'); }); + it('flags Mistral SentencePiece counts as approximate (mistral_v1_v3)', () => { + const result = countTokens('Hello, world!', 'mistral', 'open-mistral-7b'); + expect(result.approximate).toBe(true); + expect(result.tokenizer).toBe('mistral_v1_v3'); + expect(result.count).toBeGreaterThan(0); + }); + + it('flags Mistral Tekken counts as approximate (heuristic)', () => { + const result = countTokens('Hello, world!', 'mistral', 'mistral-nemo'); + expect(result.approximate).toBe(true); + expect(result.tokenizer).toBe('heuristic'); + }); + + it('flags Cohere counts as approximate (heuristic only)', () => { + const result = countTokens('Hello, world!', 'cohere', 'command-r-plus'); + expect(result.approximate).toBe(true); + expect(result.tokenizer).toBe('heuristic'); + }); + it('count scales with input length', () => { const short = countTokens('hi', 'openai'); const long = countTokens('hi'.repeat(200), 'openai'); @@ -57,6 +76,32 @@ describe('tokenize', () => { tokenize({ format: 'text', modelId: 'gemini-2.5-pro', prompt: sample }).approximate, ).toBe(true); }); + + it('dispatches a Mistral SentencePiece model end-to-end via tokenize()', () => { + const result = tokenize({ format: 'text', modelId: 'open-mistral-7b', prompt: 'Hi there.' }); + expect(result.provider).toBe('mistral'); + expect(result.tokenizer).toBe('mistral_v1_v3'); + expect(result.approximate).toBe(true); + expect(result.inputTokens).toBeGreaterThan(0); + expect(result.inputCost).toBeGreaterThan(0); + }); + + it('dispatches a Mistral Tekken model to the heuristic path', () => { + const result = tokenize({ format: 'text', modelId: 'mistral-nemo', prompt: 'Hi there.' }); + expect(result.provider).toBe('mistral'); + expect(result.tokenizer).toBe('heuristic'); + expect(result.approximate).toBe(true); + expect(result.inputTokens).toBeGreaterThan(0); + expect(result.inputCost).toBeGreaterThan(0); + }); + + it('dispatches a Cohere model to the heuristic path', () => { + const result = tokenize({ format: 'text', modelId: 'command-r-plus', prompt: 'Hi there.' }); + expect(result.provider).toBe('cohere'); + expect(result.tokenizer).toBe('heuristic'); + expect(result.approximate).toBe(true); + expect(result.inputCost).toBeGreaterThan(0); + }); }); describe('tokenizeMatrix', () => { diff --git a/packages/core/src/tokenize.ts b/packages/core/src/tokenize.ts index 2ac9e8d..c431482 100644 --- a/packages/core/src/tokenize.ts +++ b/packages/core/src/tokenize.ts @@ -2,11 +2,15 @@ import { encode as encodeCl100k } from 'gpt-tokenizer/encoding/cl100k_base'; import { encode as encodeO200k } from 'gpt-tokenizer/encoding/o200k_base'; import { toFormat } from './convert.js'; import { getModel, getRate } from './rates.js'; +import { cohereCount } from './tokenize-cohere.js'; +import { mistralCount } from './tokenize-mistral.js'; import type { Format, Provider, TokenizeResult, TokenizerKind } from './types.js'; const HEURISTIC_CHARS_PER_TOKEN: Record = { anthropic: 3.5, + cohere: 4, google: 4, + mistral: 4, openai: 4, }; @@ -19,7 +23,7 @@ export interface CountResult { tokenizer: TokenizerKind; } -export const countTokens = (text: string, provider: Provider): CountResult => { +export const countTokens = (text: string, provider: Provider, modelId?: string): CountResult => { switch (provider) { case 'openai': return { approximate: false, count: encodeO200k(text).length, tokenizer: 'o200k_base' }; @@ -31,6 +35,19 @@ export const countTokens = (text: string, provider: Provider): CountResult => { count: heuristicCount(text, 'google'), tokenizer: 'heuristic', }; + case 'mistral': { + // SentencePiece for v1/v2/v3 families; chars/4 heuristic for Tekken + // (NeMo, Pixtral, Devstral, Magistral, Ministral, Mistral Medium 2505+). + // See tokenize-mistral.ts for the full split. + const r = mistralCount(text, modelId ?? ''); + return { approximate: r.approximate, count: r.tokens, tokenizer: r.tokenizer }; + } + case 'cohere': { + // Cohere SDK is REST-only; no offline tokenizer ships in JS today. + // Empirical mode hits POST /v1/tokenize for exact counts. + const r = cohereCount(text); + return { approximate: r.approximate, count: r.tokens, tokenizer: r.tokenizer }; + } } }; @@ -44,7 +61,7 @@ export const tokenize = (options: TokenizeOptions): TokenizeResult => { const model = getModel(options.modelId); const rate = getRate(options.modelId); const converted = toFormat(options.prompt, options.format); - const counted = countTokens(converted, model.provider); + const counted = countTokens(converted, model.provider, model.id); const inputCost = (counted.count / 1000) * rate.inputPer1k; return { approximate: counted.approximate, diff --git a/packages/core/src/types.ts b/packages/core/src/types.ts index db60016..8485c97 100644 --- a/packages/core/src/types.ts +++ b/packages/core/src/types.ts @@ -1,4 +1,4 @@ -export type Provider = 'anthropic' | 'openai' | 'google'; +export type Provider = 'anthropic' | 'cohere' | 'google' | 'mistral' | 'openai'; export type Format = 'json' | 'markdown' | 'text' | 'xml' | 'yaml'; @@ -16,6 +16,29 @@ export interface RateEntry { outputPer1k: number; } +// Forward-declare the LatencyResult shape here so `TokenizeResult` can +// reference it without creating a circular import. The canonical definition +// lives in `latency.ts` and is re-exported from `index.ts`. +export interface LatencyTrial { + ttftMs: number; + totalMs: number; + outputTokens: number; + tokensPerSec: number; +} + +export interface LatencyStats { + ttftMs: number; + totalMs: number; + tokensPerSec: number; +} + +export interface LatencyResult { + trials: LatencyTrial[]; + p50: LatencyStats; + p95: LatencyStats; + mean: LatencyStats; +} + export interface TokenizeResult { approximate: boolean; format: Format; @@ -24,9 +47,13 @@ export interface TokenizeResult { model: string; provider: Provider; tokenizer: TokenizerKind; + // Populated only when the caller passed `--latency` (CLI) or invoked + // `measureLatency` directly. Stays absent on plain offline / empirical + // paths so SARIF and JSON consumers don't have to thread the field. + latency?: LatencyResult; } -export type TokenizerKind = 'cl100k_base' | 'heuristic' | 'o200k_base'; +export type TokenizerKind = 'cl100k_base' | 'heuristic' | 'mistral_v1_v3' | 'o200k_base'; export interface EmpiricalResult extends TokenizeResult { cachedInputTokens: number; diff --git a/packages/vscode/.vscodeignore b/packages/vscode/.vscodeignore new file mode 100644 index 0000000..9b13a9f --- /dev/null +++ b/packages/vscode/.vscodeignore @@ -0,0 +1,8 @@ +**/.* +node_modules +src/** +tsconfig.json +**/.gitignore +**/*.map +**/*.ts +!dist/** diff --git a/packages/vscode/CHANGELOG.md b/packages/vscode/CHANGELOG.md new file mode 100644 index 0000000..2057992 --- /dev/null +++ b/packages/vscode/CHANGELOG.md @@ -0,0 +1,6 @@ +# Changelog + +## Unreleased + +- Initial scaffold. Status bar shows live token count and USD cost for the + active prompt file using `@tokenometer/core`. diff --git a/packages/vscode/README.md b/packages/vscode/README.md new file mode 100644 index 0000000..d3d3229 --- /dev/null +++ b/packages/vscode/README.md @@ -0,0 +1,76 @@ +# Tokenometer for VS Code & Cursor + +[![License: MIT](https://img.shields.io/github/license/faraa2m/tokenometer.svg)](https://github.com/faraa2m/tokenometer/blob/main/LICENSE) + +> Live token count **and USD cost** for the active prompt file, right in the status bar — across Claude, GPT-4o, and Gemini. + +Most "token counter" extensions stop at counts. Tokenometer adds the dollar value, using the same pricing the [`tokenometer` CLI](https://www.npmjs.com/package/tokenometer) and GitHub Action use, so what you see in the editor matches what you'd see in CI and on the npm side. + +![status bar screenshot placeholder](docs/status-bar.png) + +## Install + +Once published: + +- **VS Code Marketplace:** _coming soon_ +- **Open VSX (Cursor / VSCodium):** _coming soon_ + +While you're waiting, you can build a `.vsix` locally from this repo: + +```bash +npm install +npm run build --workspace=@tokenometer/vscode +npm run package:vsix --workspace=@tokenometer/vscode +code --install-extension packages/vscode/tokenometer-*.vsix +``` + +## What it shows + +The status bar (right side) shows three things, separated by ` · `: + +``` +opus-4-7 · 1,234 tok · $0.0186 +``` + +- **Model** — the active model id, shortened (full id in the tooltip). +- **Tokens** — input token count for the current file. A leading `~` means the count is approximate (e.g. Claude / Gemini in offline mode). +- **Cost** — input cost in USD at the model's published per-1k-input rate. + +Hovering reveals the full model id, the exact token count, the 8-decimal cost, the tokenizer name, and a hint to click to switch model. + +## Settings + +| Setting | Default | Description | +| ----------------------------- | ------------------ | -------------------------------------------------------------------------------------------------------- | +| `tokenometer.model` | `claude-opus-4-7` | Model id to count and price against. Run **Tokenometer: Switch model** for the full registry list. | +| `tokenometer.format` | `text` | Format conversion before counting (`text`, `markdown`, `json`, `yaml`, `xml`). | +| `tokenometer.warnOnCostAbove` | `0` | If non-zero, the status bar turns warning-colored when the file's input cost exceeds this USD value. | + +Settings can be changed per-workspace (Workspace Settings) or globally (User Settings) — switching via the command saves to the workspace if one is open, otherwise globally. + +## Commands + +- **Tokenometer: Switch model** — quick-pick over every model in `@tokenometer/core`'s registry. +- **Tokenometer: Show details for current file** — modal with the full breakdown. + +Both commands appear under the `Tokenometer:` prefix in the command palette. + +## Supported files + +The extension activates only on prompt-shaped content: `.md`, `.markdown`, `.txt`, `.json`, `.jsonc`, `.yaml`, `.yml`, `.xml` (matched by language id _or_ extension). Anything else gets a hidden status bar item — no work, no noise. + +Files larger than 1 MB are skipped to keep the editor responsive (`—` shown in place of the count). + +## How it works + +Under the hood the extension reuses [`@tokenometer/core`](https://www.npmjs.com/package/@tokenometer/core)'s `tokenize()` function — the same path the CLI takes. Counts, pricing, and tokenizer choices are identical to the rest of the suite. + +## Links + +- [Root README](https://github.com/faraa2m/tokenometer#readme) — methodology, findings, and the full project overview. +- [`tokenometer` CLI on npm](https://www.npmjs.com/package/tokenometer) +- [Live playground](https://tokenometer.vercel.app) + +## License + +MIT diff --git a/packages/vscode/package.json b/packages/vscode/package.json new file mode 100644 index 0000000..52dd8b9 --- /dev/null +++ b/packages/vscode/package.json @@ -0,0 +1,103 @@ +{ + "name": "@tokenometer/vscode", + "version": "0.0.2", + "displayName": "Tokenometer", + "description": "Live token count and USD cost for LLM prompts in the editor (Claude, GPT-4o, Gemini).", + "publisher": "faraa2m", + "license": "MIT", + "private": true, + "author": "Faraazuddin Mohammed ", + "homepage": "https://github.com/faraa2m/tokenometer", + "repository": { + "type": "git", + "url": "git+https://github.com/faraa2m/tokenometer.git", + "directory": "packages/vscode" + }, + "bugs": { + "url": "https://github.com/faraa2m/tokenometer/issues" + }, + "engines": { + "vscode": "^1.85.0" + }, + "categories": ["Programming Languages", "Other"], + "keywords": [ + "llm", + "tokens", + "cost", + "claude", + "gpt", + "gemini", + "tokenizer", + "ai", + "prompt-engineering" + ], + "activationEvents": ["onStartupFinished"], + "main": "./dist/extension.js", + "contributes": { + "configuration": { + "title": "Tokenometer", + "properties": { + "tokenometer.model": { + "type": "string", + "default": "claude-opus-4-7", + "enum": [ + "claude-opus-4-7", + "claude-sonnet-4-6", + "claude-haiku-4-5", + "gpt-4o", + "gpt-4o-mini", + "gpt-4-turbo", + "gpt-3.5-turbo", + "gemini-2.5-pro", + "gemini-2.5-flash", + "gemini-1.5-pro", + "gemini-1.5-flash" + ], + "description": "Model id used to count tokens and price the active file. Run 'Tokenometer: Switch model' for the full list (sourced from @tokenometer/core's KNOWN_MODELS at runtime)." + }, + "tokenometer.format": { + "type": "string", + "default": "text", + "enum": ["text", "markdown", "json", "yaml", "xml"], + "description": "Format used by core's tokenize() to convert the file body before counting. 'text' counts the raw bytes; pick the format that matches how you'd send the prompt to the model." + }, + "tokenometer.warnOnCostAbove": { + "type": "number", + "default": 0, + "minimum": 0, + "description": "If non-zero and the current file's input cost exceeds this USD value, the status bar item turns warning-colored. 0 disables the warning." + } + } + }, + "commands": [ + { + "command": "tokenometer.switchModel", + "title": "Tokenometer: Switch model", + "category": "Tokenometer" + }, + { + "command": "tokenometer.showInfo", + "title": "Tokenometer: Show details for current file", + "category": "Tokenometer" + } + ] + }, + "scripts": { + "build": "tsc -b && esbuild src/extension.ts --bundle --platform=node --target=node20 --format=cjs --external:vscode --outfile=dist/extension.js", + "clean": "rm -rf dist", + "lint": "biome check .", + "typecheck": "tsc -b", + "test": "vitest run", + "package:vsix": "vsce package --no-dependencies" + }, + "dependencies": { + "@tokenometer/core": "0.0.2" + }, + "devDependencies": { + "@biomejs/biome": "^1.9.4", + "@types/vscode": "^1.85.0", + "@vscode/vsce": "^3.2.1", + "esbuild": "^0.24.0", + "typescript": "^5.7.2" + } +} diff --git a/packages/vscode/src/extension.test.ts b/packages/vscode/src/extension.test.ts new file mode 100644 index 0000000..0709c78 --- /dev/null +++ b/packages/vscode/src/extension.test.ts @@ -0,0 +1,199 @@ +import { describe, expect, it, vi } from 'vitest'; +import { + debounce, + formatStatusBarCost, + formatStatusBarText, + formatTooltipCost, + isCostOverThreshold, + isSupportedFile, + shortenModelId, +} from './format'; + +describe('shortenModelId', () => { + it('strips the claude- prefix', () => { + expect(shortenModelId('claude-opus-4-7')).toBe('opus-4-7'); + expect(shortenModelId('claude-sonnet-4-6')).toBe('sonnet-4-6'); + expect(shortenModelId('claude-haiku-4-5')).toBe('haiku-4-5'); + }); + + it('strips trailing date stamps', () => { + expect(shortenModelId('claude-3-5-haiku-20241022')).toBe('3-5-haiku'); + }); + + it('strips the gpt- prefix', () => { + expect(shortenModelId('gpt-4o')).toBe('4o'); + expect(shortenModelId('gpt-4o-mini')).toBe('4o-mini'); + }); + + it('strips the gemini- prefix', () => { + expect(shortenModelId('gemini-2.5-pro')).toBe('2.5-pro'); + }); + + it('passes through unrecognized ids', () => { + expect(shortenModelId('mystery-model-1')).toBe('mystery-model-1'); + }); + + it('keeps the prefix when stripping would leave the id too short', () => { + // "gpt-x" — only 1 char left after strip, so we keep the prefix. + expect(shortenModelId('gpt-x')).toBe('gpt-x'); + }); +}); + +describe('formatStatusBarCost', () => { + it('uses 4 decimals for sub-$10 amounts', () => { + expect(formatStatusBarCost(0)).toBe('$0.0000'); + expect(formatStatusBarCost(0.0186)).toBe('$0.0186'); + expect(formatStatusBarCost(1.2345)).toBe('$1.2345'); + expect(formatStatusBarCost(9.9999)).toBe('$9.9999'); + }); + + it('uses 2 decimals for tens', () => { + expect(formatStatusBarCost(10)).toBe('$10.00'); + expect(formatStatusBarCost(99.5)).toBe('$99.50'); + }); + + it('uses 0 decimals for hundreds and up', () => { + expect(formatStatusBarCost(100)).toBe('$100'); + expect(formatStatusBarCost(1234.567)).toBe('$1235'); + }); +}); + +describe('formatTooltipCost', () => { + it('always uses 8 decimals', () => { + expect(formatTooltipCost(0)).toBe('$0.00000000'); + expect(formatTooltipCost(0.0186)).toBe('$0.01860000'); + expect(formatTooltipCost(0.000000123456789)).toBe('$0.00000012'); + }); +}); + +describe('formatStatusBarText', () => { + it('composes model, tokens, cost', () => { + expect( + formatStatusBarText({ + approximate: false, + cost: 0.0186, + modelId: 'claude-opus-4-7', + tokens: 1234, + }), + ).toBe('opus-4-7 · 1,234 tok · $0.0186'); + }); + + it('prefixes a tilde when approximate', () => { + expect( + formatStatusBarText({ + approximate: true, + cost: 0.0186, + modelId: 'claude-opus-4-7', + tokens: 1234, + }), + ).toBe('opus-4-7 · ~1,234 tok · $0.0186'); + }); + + it('handles zero tokens cleanly', () => { + expect( + formatStatusBarText({ + approximate: false, + cost: 0, + modelId: 'gpt-4o', + tokens: 0, + }), + ).toBe('4o · 0 tok · $0.0000'); + }); +}); + +describe('isCostOverThreshold', () => { + it('returns false when threshold is zero or negative', () => { + expect(isCostOverThreshold(100, 0)).toBe(false); + expect(isCostOverThreshold(100, -1)).toBe(false); + }); + + it('returns true only when cost strictly exceeds threshold', () => { + expect(isCostOverThreshold(0.05, 0.01)).toBe(true); + expect(isCostOverThreshold(0.01, 0.01)).toBe(false); + expect(isCostOverThreshold(0.001, 0.01)).toBe(false); + }); + + it('handles non-finite values defensively', () => { + expect(isCostOverThreshold(Number.NaN, 1)).toBe(false); + expect(isCostOverThreshold(1, Number.NaN)).toBe(false); + expect(isCostOverThreshold(Number.POSITIVE_INFINITY, 1)).toBe(true); + // Threshold of Infinity is finite=false, so disabled. + expect(isCostOverThreshold(1, Number.POSITIVE_INFINITY)).toBe(false); + }); +}); + +describe('isSupportedFile', () => { + it('matches by language id', () => { + expect(isSupportedFile('markdown', 'foo.md')).toBe(true); + expect(isSupportedFile('plaintext', 'foo.txt')).toBe(true); + expect(isSupportedFile('json', 'foo.json')).toBe(true); + expect(isSupportedFile('jsonc', 'foo.jsonc')).toBe(true); + expect(isSupportedFile('yaml', 'foo.yaml')).toBe(true); + expect(isSupportedFile('xml', 'foo.xml')).toBe(true); + }); + + it('falls back to file extension when language id is unhelpful', () => { + expect(isSupportedFile('untitled', 'foo.md')).toBe(true); + expect(isSupportedFile('untitled', 'foo.yml')).toBe(true); + expect(isSupportedFile('plaintext-something', 'foo.markdown')).toBe(true); + }); + + it('rejects unsupported types', () => { + expect(isSupportedFile('typescript', 'foo.ts')).toBe(false); + expect(isSupportedFile('python', 'foo.py')).toBe(false); + expect(isSupportedFile('javascript', undefined)).toBe(false); + }); +}); + +describe('debounce', () => { + it('coalesces rapid calls into one trailing invocation', () => { + vi.useFakeTimers(); + try { + const spy = vi.fn(); + const wrapped = debounce(spy, 200); + wrapped(1); + wrapped(2); + wrapped(3); + expect(spy).not.toHaveBeenCalled(); + vi.advanceTimersByTime(199); + expect(spy).not.toHaveBeenCalled(); + vi.advanceTimersByTime(1); + expect(spy).toHaveBeenCalledTimes(1); + // Fires with the last set of args. + expect(spy).toHaveBeenLastCalledWith(3); + } finally { + vi.useRealTimers(); + } + }); + + it('cancel() drops a pending invocation', () => { + vi.useFakeTimers(); + try { + const spy = vi.fn(); + const wrapped = debounce(spy, 200); + wrapped(); + wrapped.cancel(); + vi.advanceTimersByTime(1000); + expect(spy).not.toHaveBeenCalled(); + } finally { + vi.useRealTimers(); + } + }); + + it('separate calls after the wait window each fire', () => { + vi.useFakeTimers(); + try { + const spy = vi.fn(); + const wrapped = debounce(spy, 100); + wrapped(1); + vi.advanceTimersByTime(100); + wrapped(2); + vi.advanceTimersByTime(100); + expect(spy).toHaveBeenCalledTimes(2); + expect(spy).toHaveBeenNthCalledWith(1, 1); + expect(spy).toHaveBeenNthCalledWith(2, 2); + } finally { + vi.useRealTimers(); + } + }); +}); diff --git a/packages/vscode/src/extension.ts b/packages/vscode/src/extension.ts new file mode 100644 index 0000000..47f51fd --- /dev/null +++ b/packages/vscode/src/extension.ts @@ -0,0 +1,260 @@ +import { type Format, KNOWN_MODELS, getModel, tokenize } from '@tokenometer/core'; +import * as vscode from 'vscode'; +import { + MAX_FILE_BYTES, + debounce, + formatStatusBarText, + formatTooltipCost, + isCostOverThreshold, + isSupportedFile, + shortenModelId, +} from './format'; + +const SUPPORTED_FORMATS: readonly Format[] = ['text', 'markdown', 'json', 'yaml', 'xml']; + +const isFormat = (value: unknown): value is Format => + typeof value === 'string' && (SUPPORTED_FORMATS as readonly string[]).includes(value); + +interface Settings { + format: Format; + modelId: string; + warnOnCostAbove: number; +} + +const readSettings = (): Settings => { + const cfg = vscode.workspace.getConfiguration('tokenometer'); + const modelId = cfg.get('model', 'claude-opus-4-7'); + const rawFormat = cfg.get('format', 'text'); + const format: Format = isFormat(rawFormat) ? rawFormat : 'text'; + const warnOnCostAbove = cfg.get('warnOnCostAbove', 0); + return { format, modelId, warnOnCostAbove }; +}; + +interface CurrentResult { + approximate: boolean; + cost: number; + format: Format; + modelId: string; + tokens: number; + tokenizer: string; +} + +let lastResult: CurrentResult | null = null; + +const updateStatusBar = ( + item: vscode.StatusBarItem, + editor: vscode.TextEditor | undefined, +): void => { + if (!editor) { + lastResult = null; + item.hide(); + return; + } + + const doc = editor.document; + if (!isSupportedFile(doc.languageId, doc.fileName)) { + lastResult = null; + item.hide(); + return; + } + + // VS Code reports rough byte size via getText().length (chars). We want a + // byte ceiling — encode just enough to know if we're over the limit without + // paying the full encode cost on huge files. + const text = doc.getText(); + // UTF-8 worst case is 4 bytes/char, but for an ASCII-heavy ceiling check + // text.length is a good lower bound. Fall through to Buffer.byteLength only + // when we're close. + if (text.length > MAX_FILE_BYTES) { + lastResult = null; + item.text = '$(symbol-numeric) Tokenometer · —'; + item.tooltip = `File over ${MAX_FILE_BYTES.toLocaleString()} bytes — skipped to keep the editor responsive.`; + item.backgroundColor = undefined; + item.show(); + return; + } + if (Buffer.byteLength(text, 'utf8') > MAX_FILE_BYTES) { + lastResult = null; + item.text = '$(symbol-numeric) Tokenometer · —'; + item.tooltip = `File over ${MAX_FILE_BYTES.toLocaleString()} bytes — skipped to keep the editor responsive.`; + item.backgroundColor = undefined; + item.show(); + return; + } + + const settings = readSettings(); + let result: CurrentResult; + try { + const tokenized = tokenize({ + format: settings.format, + modelId: settings.modelId, + prompt: text, + }); + result = { + approximate: tokenized.approximate, + cost: tokenized.inputCost, + format: tokenized.format, + modelId: tokenized.model, + tokens: tokenized.inputTokens, + tokenizer: tokenized.tokenizer, + }; + } catch (err) { + // Almost certainly an unknown model id. Show a clear message and bail out. + lastResult = null; + item.text = '$(warning) Tokenometer · model?'; + item.tooltip = `${(err as Error).message}\n\nClick to switch model.`; + item.backgroundColor = new vscode.ThemeColor('statusBarItem.warningBackground'); + item.command = 'tokenometer.switchModel'; + item.show(); + return; + } + + lastResult = result; + + item.text = formatStatusBarText({ + approximate: result.approximate, + cost: result.cost, + modelId: result.modelId, + tokens: result.tokens, + }); + + const tooltip = new vscode.MarkdownString(); + tooltip.appendMarkdown('**Tokenometer**\n\n'); + tooltip.appendMarkdown(`Model: \`${result.modelId}\`\n\n`); + tooltip.appendMarkdown(`Tokens: ${result.tokens.toLocaleString()}\n\n`); + tooltip.appendMarkdown(`Cost (input): ${formatTooltipCost(result.cost)}\n\n`); + tooltip.appendMarkdown(`Tokenizer: \`${result.tokenizer}\``); + if (result.approximate) { + tooltip.appendMarkdown(' (approximate)'); + } + tooltip.appendMarkdown(`\n\nFormat: \`${result.format}\`\n\n`); + tooltip.appendMarkdown('_Click to switch model._'); + item.tooltip = tooltip; + + item.command = 'tokenometer.switchModel'; + + if (isCostOverThreshold(result.cost, settings.warnOnCostAbove)) { + item.backgroundColor = new vscode.ThemeColor('statusBarItem.warningBackground'); + } else { + item.backgroundColor = undefined; + } + + item.show(); +}; + +const runSwitchModelCommand = async (): Promise => { + const cfg = vscode.workspace.getConfiguration('tokenometer'); + const current = cfg.get('model', 'claude-opus-4-7'); + + const items: vscode.QuickPickItem[] = KNOWN_MODELS.map((id) => { + let providerHint = ''; + try { + providerHint = getModel(id).provider; + } catch { + // Defensive — KNOWN_MODELS comes from getModel's registry, this shouldn't fire. + } + const description = providerHint + ? `${providerHint}${id === current ? ' (current)' : ''}` + : id === current + ? '(current)' + : ''; + const item: vscode.QuickPickItem = { label: id, description, picked: id === current }; + return item; + }); + + const picked = await vscode.window.showQuickPick(items, { + placeHolder: `Pick a model (current: ${current})`, + matchOnDescription: true, + }); + if (!picked) return; + + // Save to workspace if there is one open; otherwise global. This matches the + // "save here if relevant, else everywhere" expectation. + const target = vscode.workspace.workspaceFolders?.length + ? vscode.ConfigurationTarget.Workspace + : vscode.ConfigurationTarget.Global; + await cfg.update('model', picked.label, target); +}; + +const runShowInfoCommand = async (): Promise => { + if (!lastResult) { + await vscode.window.showInformationMessage( + 'Tokenometer: no active prompt file. Open a .md / .txt / .json / .yaml / .xml file to see token counts.', + ); + return; + } + + const r = lastResult; + const lines = [ + 'Tokenometer details', + '', + `Model: ${r.modelId} (${shortenModelId(r.modelId)})`, + `Format: ${r.format}`, + `Tokenizer: ${r.tokenizer}${r.approximate ? ' (approximate)' : ''}`, + `Tokens: ${r.tokens.toLocaleString()}`, + `Cost (in): ${formatTooltipCost(r.cost)}`, + ]; + await vscode.window.showInformationMessage(lines.join('\n'), { modal: true }); +}; + +export const activate = (context: vscode.ExtensionContext): void => { + const statusItem = vscode.window.createStatusBarItem(vscode.StatusBarAlignment.Right, 100); + statusItem.name = 'Tokenometer'; + context.subscriptions.push(statusItem); + + const refresh = (): void => updateStatusBar(statusItem, vscode.window.activeTextEditor); + const debouncedRefresh = debounce(refresh, 200); + + // Initial paint. + refresh(); + + context.subscriptions.push( + vscode.window.onDidChangeActiveTextEditor(() => { + refresh(); + }), + vscode.workspace.onDidChangeTextDocument((event) => { + const active = vscode.window.activeTextEditor; + if (active && event.document === active.document) { + debouncedRefresh(); + } + }), + vscode.workspace.onDidSaveTextDocument((doc) => { + const active = vscode.window.activeTextEditor; + if (active && doc === active.document) { + refresh(); + } + }), + vscode.workspace.onDidChangeConfiguration((event) => { + if (event.affectsConfiguration('tokenometer')) { + refresh(); + } + }), + vscode.commands.registerCommand('tokenometer.switchModel', async () => { + try { + await runSwitchModelCommand(); + } catch (err) { + await vscode.window.showErrorMessage( + `Tokenometer: switch failed — ${(err as Error).message}`, + ); + } + }), + vscode.commands.registerCommand('tokenometer.showInfo', async () => { + try { + await runShowInfoCommand(); + } catch (err) { + await vscode.window.showErrorMessage( + `Tokenometer: show-info failed — ${(err as Error).message}`, + ); + } + }), + { + dispose: () => { + debouncedRefresh.cancel(); + }, + }, + ); +}; + +export const deactivate = (): void => { + // No global resources beyond context.subscriptions, which VS Code disposes for us. +}; diff --git a/packages/vscode/src/format.ts b/packages/vscode/src/format.ts new file mode 100644 index 0000000..d23b762 --- /dev/null +++ b/packages/vscode/src/format.ts @@ -0,0 +1,134 @@ +// Pure helpers used by the VS Code extension. Kept free of `vscode` imports so +// they can be unit-tested under Vitest without mocking the editor host. + +/** + * Shorten a model id for the status bar. Strips the provider-style prefix and + * trims common date suffixes, leaving the recognizable middle. Falls back to + * the original id if nothing obvious can be stripped. + */ +export const shortenModelId = (modelId: string): string => { + // Drop a trailing -YYYYMMDD date stamp if present (e.g. claude-3-5-haiku-20241022). + const stripped = modelId.replace(/-\d{8}$/, ''); + // Drop a leading provider prefix like "claude-" or "gpt-" only if there's + // any recognizable identifier left afterwards (avoids turning "gpt-x" into + // a single character). + const knownPrefixes = ['claude-', 'gpt-', 'gemini-']; + for (const prefix of knownPrefixes) { + if (stripped.startsWith(prefix) && stripped.length - prefix.length >= 2) { + return stripped.slice(prefix.length); + } + } + return stripped; +}; + +/** + * Format USD cost for the status bar — fixed 4 decimals so the width is stable + * (`$0.0000` … `$9.9999`). For larger values, drop trailing decimals so the + * status bar stays narrow. + */ +export const formatStatusBarCost = (usd: number): string => { + if (usd >= 100) return `$${usd.toFixed(0)}`; + if (usd >= 10) return `$${usd.toFixed(2)}`; + return `$${usd.toFixed(4)}`; +}; + +/** + * Format USD cost for the tooltip — full 8-decimal precision since space is + * not a constraint. + */ +export const formatTooltipCost = (usd: number): string => `$${usd.toFixed(8)}`; + +export interface StatusBarTextOptions { + approximate: boolean; + cost: number; + modelId: string; + tokens: number; +} + +/** + * Compose the status bar label, e.g. `opus-4-7 · 1,234 tok · $0.0186` (or with + * a leading `~` when the count is approximate). + */ +export const formatStatusBarText = (opts: StatusBarTextOptions): string => { + const tokens = opts.tokens.toLocaleString(); + const prefix = opts.approximate ? '~' : ''; + const model = shortenModelId(opts.modelId); + return `${model} · ${prefix}${tokens} tok · ${formatStatusBarCost(opts.cost)}`; +}; + +/** + * Decide whether the configured warning threshold is tripped. + * - Threshold of 0 (or negative) disables the warning. + * - Otherwise, fire when the current cost is strictly greater than the + * threshold. Equality is below the bar so a budget of $0.01 doesn't flicker + * when the cost lands exactly on $0.01. + */ +export const isCostOverThreshold = (cost: number, threshold: number): boolean => { + if (!Number.isFinite(threshold) || threshold <= 0) return false; + if (Number.isNaN(cost)) return false; + return cost > threshold; +}; + +/** + * Tiny debounce. Returns a wrapped function plus a `cancel()` to drop a + * pending invocation (used on extension deactivate). + */ +export interface Debounced { + (...args: A): void; + cancel: () => void; +} + +export const debounce = ( + fn: (...args: A) => void, + waitMs: number, +): Debounced => { + let timer: ReturnType | null = null; + + const wrapped = ((...args: A) => { + if (timer !== null) clearTimeout(timer); + timer = setTimeout(() => { + timer = null; + fn(...args); + }, waitMs); + }) as Debounced; + + wrapped.cancel = () => { + if (timer !== null) { + clearTimeout(timer); + timer = null; + } + }; + + return wrapped; +}; + +/** Set of language ids / file extensions Tokenometer treats as prompt content. */ +export const SUPPORTED_LANGUAGE_IDS: readonly string[] = [ + 'plaintext', + 'markdown', + 'json', + 'jsonc', + 'yaml', + 'xml', +]; + +/** Mirror of SUPPORTED_LANGUAGE_IDS for fallback file-extension matching. */ +export const SUPPORTED_EXTENSIONS: readonly string[] = [ + '.txt', + '.md', + '.markdown', + '.json', + '.yaml', + '.yml', + '.xml', +]; + +export const isSupportedFile = (languageId: string, fileName: string | undefined): boolean => { + if (SUPPORTED_LANGUAGE_IDS.includes(languageId)) return true; + if (!fileName) return false; + const lower = fileName.toLowerCase(); + return SUPPORTED_EXTENSIONS.some((ext) => lower.endsWith(ext)); +}; + +/** Hard ceiling on file size we'll tokenize synchronously, in bytes. */ +export const MAX_FILE_BYTES = 1_000_000; diff --git a/packages/vscode/tsconfig.json b/packages/vscode/tsconfig.json new file mode 100644 index 0000000..ce71d3d --- /dev/null +++ b/packages/vscode/tsconfig.json @@ -0,0 +1,16 @@ +{ + "extends": "../../tsconfig.base.json", + "compilerOptions": { + "module": "commonjs", + "moduleResolution": "node", + "target": "es2020", + "lib": ["ES2020"], + "outDir": "./dist", + "rootDir": "./src", + "verbatimModuleSyntax": false, + "types": ["node", "vscode"] + }, + "include": ["src/**/*"], + "exclude": ["**/*.test.ts", "**/*.spec.ts", "dist"], + "references": [{ "path": "../core" }] +} diff --git a/packages/web/index.html b/packages/web/index.html index 7f59e43..8d03813 100644 --- a/packages/web/index.html +++ b/packages/web/index.html @@ -12,9 +12,10 @@ +
diff --git a/packages/web/package.json b/packages/web/package.json index 8b07faa..6dca8c4 100644 --- a/packages/web/package.json +++ b/packages/web/package.json @@ -15,7 +15,8 @@ "@google/generative-ai": "^0.21.0", "@tokenometer/core": "0.0.2", "react": "^19.0.0", - "react-dom": "^19.0.0" + "react-dom": "^19.0.0", + "react-router-dom": "^7.15.0" }, "devDependencies": { "@tailwindcss/vite": "^4.0.0", diff --git a/packages/web/public/robots.txt b/packages/web/public/robots.txt new file mode 100644 index 0000000..30de460 --- /dev/null +++ b/packages/web/public/robots.txt @@ -0,0 +1,4 @@ +User-agent: * +Allow: / + +Sitemap: https://tokenometer.vercel.app/sitemap.xml diff --git a/packages/web/public/sitemap.xml b/packages/web/public/sitemap.xml new file mode 100644 index 0000000..5bba7ba --- /dev/null +++ b/packages/web/public/sitemap.xml @@ -0,0 +1,14 @@ + + + https://tokenometer.vercel.app/weekly1.0 + https://tokenometer.vercel.app/calculatorweekly0.9 + https://tokenometer.vercel.app/diffweekly0.8 + https://tokenometer.vercel.app/by-fileweekly0.8 + https://tokenometer.vercel.app/visionweekly0.8 + https://tokenometer.vercel.app/sarifmonthly0.6 + https://tokenometer.vercel.app/config-buildermonthly0.6 + https://tokenometer.vercel.app/initmonthly0.6 + https://tokenometer.vercel.app/modelsweekly0.9 + https://tokenometer.vercel.app/editormonthly0.5 + https://tokenometer.vercel.app/claude-codemonthly0.5 + diff --git a/packages/web/src/App.tsx b/packages/web/src/App.tsx index a09a98f..ca627de 100644 --- a/packages/web/src/App.tsx +++ b/packages/web/src/App.tsx @@ -1,66 +1,35 @@ -import { Playground } from './components/Playground.js'; - -const SAMPLE_PROMPT = `{ - "instructions": "Summarize the user's input in three bullets.", - "constraints": { "max_bullets": 3, "tone": "neutral" } -}`; - -const SHELL_BANNER = [ - '$ tokenometer --version', - 'tokenometer 0.0.1 rates_version=2026-05-07', - '', - '$ tokenometer --help', - ' measure: empirical token cost across providers and formats.', - ' policy: no telemetry, no key persistence, BYO-API-key for empirical mode.', - ' source: github.com/faraa2m/tokenometer', -]; +import { BrowserRouter, Navigate, Route, Routes } from 'react-router-dom'; +import { Layout } from './components/Layout.js'; +import { ByFilePage } from './pages/ByFilePage.js'; +import { ClaudeCodePage } from './pages/ClaudeCodePage.js'; +import { ConfigBuilderPage } from './pages/ConfigBuilderPage.js'; +import { DiffPage } from './pages/DiffPage.js'; +import { EditorPage } from './pages/EditorPage.js'; +import { InitPage } from './pages/InitPage.js'; +import { LandingPage } from './pages/LandingPage.js'; +import { ModelDetailPage } from './pages/ModelDetailPage.js'; +import { ModelsPage } from './pages/ModelsPage.js'; +import { SarifPage } from './pages/SarifPage.js'; +import { VisionPage } from './pages/VisionPage.js'; export const App = () => ( - + + + }> + } /> + } /> + } /> + } /> + } /> + } /> + } /> + } /> + } /> + } /> + } /> + } /> + } /> + + + ); diff --git a/packages/web/src/components/CodeBlock.tsx b/packages/web/src/components/CodeBlock.tsx new file mode 100644 index 0000000..1a5678c --- /dev/null +++ b/packages/web/src/components/CodeBlock.tsx @@ -0,0 +1,39 @@ +import { useState } from 'react'; + +interface CodeBlockProps { + code: string; + language?: string; + filename?: string; +} + +export const CodeBlock = ({ code, language, filename }: CodeBlockProps) => { + const [copied, setCopied] = useState(false); + + const onCopy = async () => { + try { + await navigator.clipboard.writeText(code); + setCopied(true); + setTimeout(() => setCopied(false), 1500); + } catch { + setCopied(false); + } + }; + + return ( +
+
+ {filename ?? language ?? 'snippet'} + +
+ 
+        {code}
+
+
+ ); +}; diff --git a/packages/web/src/components/Layout.tsx b/packages/web/src/components/Layout.tsx new file mode 100644 index 0000000..21c7b06 --- /dev/null +++ b/packages/web/src/components/Layout.tsx @@ -0,0 +1,66 @@ +import { Link, Outlet } from 'react-router-dom'; +import { Nav } from './Nav.js'; + +const REPO_URL = 'https://github.com/faraa2m/tokenometer'; +const NPM_URL = 'https://www.npmjs.com/package/tokenometer'; +const MARKETPLACE_URL = 'https://github.com/faraa2m/tokenometer#editor-integrations'; + +export const Layout = () => ( +
+
+
+
+

+ ›observatory +

+ + tokenometer + +

empirical token-cost benchmarking

+
+
+
+
+ +
+ +
+ +
+
+

+ no telemetry · no key persistence · BYO-API-key for empirical mode. countTokens calls go + straight from your browser to the provider. +

+
+ +
+
+
+); diff --git a/packages/web/src/components/Nav.tsx b/packages/web/src/components/Nav.tsx new file mode 100644 index 0000000..1f31674 --- /dev/null +++ b/packages/web/src/components/Nav.tsx @@ -0,0 +1,90 @@ +import { useEffect, useRef, useState } from 'react'; +import { NavLink } from 'react-router-dom'; + +interface NavItem { + to: string; + label: string; +} + +const PRIMARY_NAV: readonly NavItem[] = [ + { to: '/', label: 'calculator' }, + { to: '/diff', label: 'diff' }, + { to: '/by-file', label: 'by-file' }, + { to: '/vision', label: 'vision' }, + { to: '/models', label: 'models' }, +]; + +const TOOLS_NAV: readonly NavItem[] = [ + { to: '/sarif', label: 'sarif' }, + { to: '/config-builder', label: 'config builder' }, + { to: '/init', label: 'init' }, + { to: '/editor', label: 'vs code' }, + { to: '/claude-code', label: 'claude code' }, +]; + +const linkClass = ({ isActive }: { isActive: boolean }): string => + isActive + ? 'border-b border-[var(--tk-amber)] pb-[2px] text-[var(--tk-amber)]' + : 'border-b border-transparent pb-[2px] text-[var(--tk-fg)] hover:border-[var(--tk-amber-dim)] hover:text-[var(--tk-amber)]'; + +export const Nav = () => { + const [toolsOpen, setToolsOpen] = useState(false); + const ref = useRef(null); + + useEffect(() => { + if (!toolsOpen) return; + const onClick = (e: MouseEvent) => { + if (ref.current && !ref.current.contains(e.target as Node)) { + setToolsOpen(false); + } + }; + document.addEventListener('mousedown', onClick); + return () => document.removeEventListener('mousedown', onClick); + }, [toolsOpen]); + + return ( + + ); +}; diff --git a/packages/web/src/components/Playground.tsx b/packages/web/src/components/Playground.tsx index 735bda5..b97aa60 100644 --- a/packages/web/src/components/Playground.tsx +++ b/packages/web/src/components/Playground.tsx @@ -11,6 +11,7 @@ import { ResultsMatrix } from './ResultsMatrix.js'; const DEFAULT_MODELS = ['claude-opus-4-7', 'claude-sonnet-4-6', 'gpt-4o'] as const; const ALL_FORMATS: readonly Format[] = allFormats(); +// Listed providers come first; any extras (e.g. mistral, cohere) are appended. const PROVIDER_ORDER: readonly Provider[] = ['anthropic', 'openai', 'google']; const formatContextWindow = (n: number): string => { @@ -59,14 +60,19 @@ interface ModelOption { } const buildModelGroups = (): { provider: Provider; models: ModelOption[] }[] => { - const grouped: Record = { anthropic: [], google: [], openai: [] }; + const grouped = new Map(); for (const id of KNOWN_MODELS) { const m = getModel(id); const ctx = m.contextWindow ? ` · ${formatContextWindow(m.contextWindow)}` : ''; - grouped[m.provider].push({ id, label: `${id}${ctx}` }); + const list = grouped.get(m.provider) ?? []; + list.push({ id, label: `${id}${ctx}` }); + grouped.set(m.provider, list); } - return PROVIDER_ORDER.filter((p) => grouped[p].length > 0).map((provider) => ({ - models: grouped[provider], + // Sort listed providers in PROVIDER_ORDER first, then append any unlisted ones. + const listed = PROVIDER_ORDER.filter((p) => grouped.has(p)); + const extras = [...grouped.keys()].filter((p) => !PROVIDER_ORDER.includes(p)).sort(); + return [...listed, ...extras].map((provider) => ({ + models: grouped.get(provider) ?? [], provider, })); }; diff --git a/packages/web/src/hooks/usePageTitle.ts b/packages/web/src/hooks/usePageTitle.ts new file mode 100644 index 0000000..13a097f --- /dev/null +++ b/packages/web/src/hooks/usePageTitle.ts @@ -0,0 +1,20 @@ +import { useEffect } from 'react'; + +const BASE = 'tokenometer'; + +/** + * Sets `document.title` to " · tokenometer · <tagline>" on mount; reverts + * to the base banner on unmount so back-navigation doesn't leak the previous + * title before the next page mounts. + */ +export const usePageTitle = (title: string, tagline?: string): void => { + useEffect(() => { + const previous = document.title; + const parts = [title, BASE]; + if (tagline) parts.push(tagline); + document.title = parts.join(' · '); + return () => { + document.title = previous; + }; + }, [title, tagline]); +}; diff --git a/packages/web/src/pages/ByFilePage.tsx b/packages/web/src/pages/ByFilePage.tsx new file mode 100644 index 0000000..b362d1c --- /dev/null +++ b/packages/web/src/pages/ByFilePage.tsx @@ -0,0 +1,219 @@ +import { allFormats, getModel, tokenize } from '@tokenometer/core'; +import type { Format, Provider } from '@tokenometer/core'; +import { useMemo, useState } from 'react'; +import { usePageTitle } from '../hooks/usePageTitle.js'; + +const ALL_FORMATS: readonly Format[] = allFormats(); + +interface FileEntry { + name: string; + content: string; + size: number; +} + +const formatCost = (usd: number): string => { + if (usd >= 0.01) return `$${usd.toFixed(4)}`; + if (usd >= 0.000001) return `$${usd.toFixed(6)}`; + return `$${usd.toExponential(2)}`; +}; + +interface FileRow { + name: string; + size: number; + tokens: number; + cost: number; + provider: Provider; +} + +export const ByFilePage = () => { + usePageTitle('by-file', 'rank prompts by per-file cost'); + const [files, setFiles] = useState<FileEntry[]>([]); + const [modelId, setModelId] = useState('claude-sonnet-4-6'); + const [format, setFormat] = useState<Format>('text'); + const [error, setError] = useState<string | null>(null); + const [dragOver, setDragOver] = useState(false); + + const onPick = async (list: FileList | null) => { + if (!list) return; + setError(null); + const next: FileEntry[] = []; + for (let i = 0; i < list.length; i++) { + const f = list.item(i); + if (!f) continue; + // Only accept text-ish files (.md, .txt, .yml, .yaml, .json, .xml). Skip + // arbitrary binaries — tokenization would be meaningless. + if (!/\.(md|markdown|txt|yml|yaml|json|xml|prompt)$/i.test(f.name)) continue; + try { + const text = await f.text(); + next.push({ content: text, name: f.name, size: text.length }); + } catch (e) { + setError(`could not read ${f.name}: ${(e as Error).message.toLowerCase()}`); + } + } + if (!next.length) { + setError('no readable .md/.txt/.yml/.json/.xml files in selection'); + return; + } + setFiles(next); + }; + + const onDrop = (e: React.DragEvent) => { + e.preventDefault(); + setDragOver(false); + const dt = e.dataTransfer; + if (dt?.files) onPick(dt.files); + }; + + const rows: FileRow[] = useMemo(() => { + if (!files.length) return []; + let model: ReturnType<typeof getModel>; + try { + model = getModel(modelId); + } catch { + return []; + } + return files + .map((f) => { + try { + const r = tokenize({ format, modelId, prompt: f.content }); + return { + cost: r.inputCost, + name: f.name, + provider: model.provider, + size: f.size, + tokens: r.inputTokens, + }; + } catch { + return null; + } + }) + .filter((x): x is FileRow => x !== null) + .sort((a, b) => b.cost - a.cost); + }, [files, modelId, format]); + + const totalCost = rows.reduce((acc, r) => acc + r.cost, 0); + const totalTokens = rows.reduce((acc, r) => acc + r.tokens, 0); + + return ( + <section className="space-y-8 py-8"> + <div> + <p className="text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + ›by-file · per-file cost ranking + </p> + <h1 className="mt-2 text-2xl font-bold tracking-tight">by-file</h1> + <p className="mt-2 max-w-3xl text-[12.5px] text-[var(--tk-dim)]"> + Drop a folder of prompt files (or pick individual `.md` / `.txt` / `.yml`). We tokenize + each, sort by cost, and show what's eating your budget. The CLI does the same thing across + `paths:` in `.tokenometer.yml`. + </p> + </div> + + <div className="grid grid-cols-12 gap-x-6 gap-y-6"> + <div className="col-span-12 lg:col-span-7"> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 01 ›files + </p> + <label + onDragOver={(e) => { + e.preventDefault(); + setDragOver(true); + }} + onDragLeave={() => setDragOver(false)} + onDrop={onDrop} + className={ + dragOver + ? 'block cursor-pointer border border-dashed border-[var(--tk-amber)] bg-[var(--tk-cell)] p-8 text-center' + : 'block cursor-pointer border border-dashed border-[var(--tk-rule)] bg-[var(--tk-cell)] p-8 text-center hover:border-[var(--tk-amber-dim)]' + } + > + <input + type="file" + multiple + accept=".md,.markdown,.txt,.yml,.yaml,.json,.xml,.prompt" + onChange={(e) => onPick(e.target.files)} + className="hidden" + /> + <p className="text-[12.5px] text-[var(--tk-fg)]"> + {dragOver ? '> drop files' : '> click or drag .md / .txt / .yml files here'} + </p> + <p className="mt-1 text-[10.5px] text-[var(--tk-dim)]"> + processed in-browser. nothing is uploaded. + </p> + </label> + {error && <p className="mt-2 text-[11.5px] text-[var(--tk-red)]">err: {error}</p>} + </div> + <div className="col-span-12 lg:col-span-5 space-y-4"> + <div> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 02 ›model + </p> + <input + type="text" + value={modelId} + onChange={(e) => setModelId(e.target.value)} + spellCheck={false} + className="block w-full border border-[var(--tk-rule)] bg-[var(--tk-cell)] px-2 py-1.5 text-[12px] text-[var(--tk-fg)] focus:border-[var(--tk-amber)] focus:outline-none" + /> + </div> + <div> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 03 ›format + </p> + <select + value={format} + onChange={(e) => setFormat(e.target.value as Format)} + className="block w-full border border-[var(--tk-rule)] bg-[var(--tk-cell)] px-2 py-1.5 text-[12px] text-[var(--tk-fg)] focus:border-[var(--tk-amber)] focus:outline-none" + > + {ALL_FORMATS.map((f) => ( + <option key={f} value={f}> + {f} + </option> + ))} + </select> + </div> + </div> + </div> + + {rows.length > 0 && ( + <div> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 04 › results · {rows.length} files · {totalTokens.toLocaleString()} tokens ·{' '} + {formatCost(totalCost)} + </p> + <div className="overflow-x-auto border border-[var(--tk-rule)]"> + <table className="w-full border-collapse text-[12.5px]"> + <thead> + <tr className="border-b border-[var(--tk-rule)] text-[10px] uppercase tracking-[0.25em] text-[var(--tk-dim)]"> + <th className="px-3 py-2 text-left font-normal">rank</th> + <th className="px-3 py-2 text-left font-normal">file</th> + <th className="px-3 py-2 text-right font-normal">size</th> + <th className="px-3 py-2 text-right font-normal">tokens</th> + <th className="px-3 py-2 text-right font-normal">cost</th> + </tr> + </thead> + <tbody> + {rows.map((r, i) => ( + <tr key={r.name} className="border-t border-[var(--tk-rule)]/60"> + <td className="px-3 py-1.5 tabular-nums text-[var(--tk-dim)]"> + {String(i + 1).padStart(2, '0')} + </td> + <td className="px-3 py-1.5 text-[var(--tk-fg)]">{r.name}</td> + <td className="px-3 py-1.5 text-right tabular-nums text-[var(--tk-dim)]"> + {r.size.toLocaleString()} + </td> + <td className="px-3 py-1.5 text-right tabular-nums text-[var(--tk-fg)]"> + {r.tokens.toLocaleString()} + </td> + <td className="px-3 py-1.5 text-right tabular-nums text-[var(--tk-fg)]"> + {formatCost(r.cost)} + </td> + </tr> + ))} + </tbody> + </table> + </div> + </div> + )} + </section> + ); +}; diff --git a/packages/web/src/pages/ClaudeCodePage.tsx b/packages/web/src/pages/ClaudeCodePage.tsx new file mode 100644 index 0000000..577fdf5 --- /dev/null +++ b/packages/web/src/pages/ClaudeCodePage.tsx @@ -0,0 +1,77 @@ +import { CodeBlock } from '../components/CodeBlock.js'; +import { usePageTitle } from '../hooks/usePageTitle.js'; + +const INSTALL_LINE = 'claude install skill faraa2m/tokenometer'; + +const SKILL_PREVIEW = `--- +name: tokenometer +description: Measure prompt token cost across Claude, GPT-4o, and Gemini. + Useful before committing prompt changes or when you ask "how much + will this cost?" — empirical with BYO-key, offline otherwise. +tools: Bash +--- + +# tokenometer + +When the user asks how much a prompt costs, what tokenizer to use, or +whether a change is cheaper, run: + + npx tokenometer measure <file-or-prompt> + +For a folder, point it at the path; tokenometer respects +\`.tokenometer.yml\` budgets and \`paths:\`. Add \`--empirical\` and the +provider env vars to hit countTokens directly (Anthropic / OpenAI / +Google). Always cite the rates_version in your reply. +`; + +export const ClaudeCodePage = () => { + usePageTitle('claude code', 'tokenometer skill for claude code'); + return ( + <section className="space-y-8 py-8"> + <div> + <p className="text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + ›claude code · skill (wave 3) + </p> + <h1 className="mt-2 text-2xl font-bold tracking-tight">claude code skill</h1> + <p className="mt-2 max-w-3xl text-[12.5px] text-[var(--tk-dim)]"> + A drop-in{' '} + <a + href="https://docs.anthropic.com/en/docs/agents/skills" + className="underline decoration-[var(--tk-amber-dim)] underline-offset-4" + > + Claude Code skill + </a>{' '} + that gives the agent a token-cost calculator. Triggered automatically when you ask "how + much does this prompt cost" or "is this version cheaper". Currently in development as part + of Wave 3. + </p> + </div> + + <div className="grid grid-cols-12 gap-x-6 gap-y-6"> + <div className="col-span-12 md:col-span-5 space-y-4"> + <div className="border border-[var(--tk-rule)] bg-[var(--tk-cell)] p-4"> + <p className="text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]">install</p> + <CodeBlock code={INSTALL_LINE} filename="bash" language="bash" /> + <p className="mt-3 text-[10.5px] text-[var(--tk-dim)]"> + Once published, this drops a SKILL.md into your `~/.claude/skills/` directory. + </p> + </div> + <div className="space-y-2 text-[12.5px]"> + <p className="text-[var(--tk-fg)]">What it does:</p> + <ul className="space-y-1 text-[var(--tk-dim)]"> + <li>· runs `npx tokenometer measure` on demand</li> + <li>· cites rates_version + tokenizer in every reply</li> + <li>· offline by default; opts into empirical with your keys</li> + </ul> + </div> + </div> + <div className="col-span-12 md:col-span-7"> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + SKILL.md preview + </p> + <CodeBlock code={SKILL_PREVIEW} filename="SKILL.md" language="markdown" /> + </div> + </div> + </section> + ); +}; diff --git a/packages/web/src/pages/ConfigBuilderPage.tsx b/packages/web/src/pages/ConfigBuilderPage.tsx new file mode 100644 index 0000000..2881200 --- /dev/null +++ b/packages/web/src/pages/ConfigBuilderPage.tsx @@ -0,0 +1,230 @@ +import { KNOWN_MODELS, allFormats, getModel, parseConfig } from '@tokenometer/core'; +import type { Format, Provider } from '@tokenometer/core'; +import { useMemo, useState } from 'react'; +import { CodeBlock } from '../components/CodeBlock.js'; +import { usePageTitle } from '../hooks/usePageTitle.js'; + +const PROVIDER_ORDER: readonly Provider[] = ['anthropic', 'openai', 'google']; +const ALL_FORMATS: readonly Format[] = allFormats(); + +const buildModelGroups = (): { provider: Provider; models: string[] }[] => { + const grouped = new Map<Provider, string[]>(); + for (const id of KNOWN_MODELS) { + const p = getModel(id).provider; + const list = grouped.get(p) ?? []; + list.push(id); + grouped.set(p, list); + } + const listed = PROVIDER_ORDER.filter((p) => grouped.has(p)); + const extras = [...grouped.keys()].filter((p) => !PROVIDER_ORDER.includes(p)).sort(); + return [...listed, ...extras].map((provider) => ({ + models: grouped.get(provider) ?? [], + provider, + })); +}; + +interface BuildOptions { + models: string[]; + formats: Format[]; + pathsRaw: string; + totalBudget: string; + perFileBudget: string; +} + +const buildYaml = ({ + models, + formats, + pathsRaw, + totalBudget, + perFileBudget, +}: BuildOptions): string => { + const lines: string[] = []; + lines.push('# .tokenometer.yml'); + lines.push('# generated from https://tokenometer.vercel.app/config-builder'); + lines.push(''); + if (models.length > 0) { + lines.push('models:'); + for (const m of models) lines.push(` - ${m}`); + lines.push(''); + } + if (formats.length > 0) { + lines.push('formats:'); + for (const f of formats) lines.push(` - ${f}`); + lines.push(''); + } + const total = totalBudget.trim(); + const perFile = perFileBudget.trim(); + if (total || perFile) { + lines.push('budgets:'); + if (total) lines.push(` total: ${total}`); + if (perFile) lines.push(` per-file: ${perFile}`); + lines.push(''); + } + const paths = pathsRaw + .split(',') + .map((p) => p.trim()) + .filter(Boolean); + if (paths.length > 0) { + lines.push('paths:'); + for (const p of paths) lines.push(` - ${p}`); + lines.push(''); + } + return lines.join('\n'); +}; + +export const ConfigBuilderPage = () => { + usePageTitle('config builder', '.tokenometer.yml generator'); + const modelGroups = useMemo(() => buildModelGroups(), []); + const [models, setModels] = useState<string[]>(['claude-sonnet-4-6', 'gpt-4o']); + const [formats, setFormats] = useState<Format[]>(['text', 'markdown']); + const [pathsRaw, setPathsRaw] = useState('prompts/**/*.md'); + const [totalBudget, setTotalBudget] = useState('5'); + const [perFileBudget, setPerFileBudget] = useState('0.05'); + + const yaml = useMemo( + () => buildYaml({ formats, models, pathsRaw, perFileBudget, totalBudget }), + [models, formats, pathsRaw, totalBudget, perFileBudget], + ); + + // Round-trip the generated YAML through parseConfig so the shown error mirrors + // what a real user would see if their hand-written config were broken. + const parseError = useMemo(() => { + try { + parseConfig(yaml); + return null; + } catch (e) { + return (e as Error).message.toLowerCase(); + } + }, [yaml]); + + const toggleModel = (id: string) => + setModels((p) => (p.includes(id) ? p.filter((m) => m !== id) : [...p, id])); + const toggleFormat = (f: Format) => + setFormats((p) => (p.includes(f) ? p.filter((x) => x !== f) : [...p, f])); + + return ( + <section className="space-y-8 py-8"> + <div> + <p className="text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + ›config builder · .tokenometer.yml + </p> + <h1 className="mt-2 text-2xl font-bold tracking-tight">config builder</h1> + <p className="mt-2 max-w-3xl text-[12.5px] text-[var(--tk-dim)]"> + Pick models, formats, paths, and budgets. We render a copy-paste-ready{' '} + <code className="text-[var(--tk-fg)]">.tokenometer.yml</code> validated by the same parser + the CLI uses. Drop it at the repo root and `tokenometer measure` will pick it up. + </p> + </div> + + <div className="grid grid-cols-12 gap-x-6 gap-y-6"> + <div className="col-span-12 lg:col-span-7 space-y-6"> + <div> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 01 ›models + </p> + <div className="space-y-3"> + {modelGroups.map(({ provider, models: m }) => ( + <div key={provider}> + <p className="mb-1.5 text-[9.5px] uppercase tracking-[0.28em] text-[var(--tk-dim)]"> + {provider} + </p> + <div className="flex flex-wrap gap-2"> + {m.map((id) => ( + <button + key={id} + type="button" + onClick={() => toggleModel(id)} + className={ + models.includes(id) + ? 'border border-[var(--tk-amber)] bg-[var(--tk-amber)] px-2 py-[3px] text-[11px] text-[var(--tk-bg)]' + : 'border border-[var(--tk-rule)] px-2 py-[3px] text-[11px] text-[var(--tk-dim)] hover:border-[var(--tk-amber)] hover:text-[var(--tk-amber)]' + } + > + {models.includes(id) ? '[x] ' : '[ ] '} + {id} + </button> + ))} + </div> + </div> + ))} + </div> + </div> + <div> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 02 ›formats + </p> + <div className="flex flex-wrap gap-2"> + {ALL_FORMATS.map((f) => ( + <button + key={f} + type="button" + onClick={() => toggleFormat(f)} + className={ + formats.includes(f) + ? 'border border-[var(--tk-amber)] bg-[var(--tk-amber)] px-2 py-[3px] text-[11px] text-[var(--tk-bg)]' + : 'border border-[var(--tk-rule)] px-2 py-[3px] text-[11px] text-[var(--tk-dim)] hover:border-[var(--tk-amber)] hover:text-[var(--tk-amber)]' + } + > + {formats.includes(f) ? '[x] ' : '[ ] '} + {f} + </button> + ))} + </div> + </div> + </div> + <div className="col-span-12 lg:col-span-5 space-y-4"> + <div> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 03 ›paths (comma-separated globs) + </p> + <input + type="text" + value={pathsRaw} + onChange={(e) => setPathsRaw(e.target.value)} + spellCheck={false} + className="block w-full border border-[var(--tk-rule)] bg-[var(--tk-cell)] px-2 py-1.5 text-[12px] text-[var(--tk-fg)] focus:border-[var(--tk-amber)] focus:outline-none" + /> + </div> + <div className="grid grid-cols-2 gap-3"> + <div> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 04 ›total budget ($) + </p> + <input + type="text" + value={totalBudget} + onChange={(e) => setTotalBudget(e.target.value)} + spellCheck={false} + className="block w-full border border-[var(--tk-rule)] bg-[var(--tk-cell)] px-2 py-1.5 text-[12px] text-[var(--tk-fg)] focus:border-[var(--tk-amber)] focus:outline-none" + /> + </div> + <div> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 05 ›per-file ($) + </p> + <input + type="text" + value={perFileBudget} + onChange={(e) => setPerFileBudget(e.target.value)} + spellCheck={false} + className="block w-full border border-[var(--tk-rule)] bg-[var(--tk-cell)] px-2 py-1.5 text-[12px] text-[var(--tk-fg)] focus:border-[var(--tk-amber)] focus:outline-none" + /> + </div> + </div> + </div> + </div> + + <div> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 06 › yaml output + </p> + <CodeBlock code={yaml} filename=".tokenometer.yml" language="yaml" /> + {parseError ? ( + <p className="mt-2 text-[11.5px] text-[var(--tk-red)]">err: {parseError}</p> + ) : ( + <p className="mt-2 text-[11.5px] text-[var(--tk-green)]">ok · validated by parseConfig</p> + )} + </div> + </section> + ); +}; diff --git a/packages/web/src/pages/DiffPage.tsx b/packages/web/src/pages/DiffPage.tsx new file mode 100644 index 0000000..b3288fc --- /dev/null +++ b/packages/web/src/pages/DiffPage.tsx @@ -0,0 +1,326 @@ +import { KNOWN_MODELS, allFormats, getModel, tokenize } from '@tokenometer/core'; +import type { Format, Provider, TokenizeResult } from '@tokenometer/core'; +import { useMemo, useState } from 'react'; +import { usePageTitle } from '../hooks/usePageTitle.js'; + +const PROVIDER_ORDER: readonly Provider[] = ['anthropic', 'openai', 'google']; +const ALL_FORMATS: readonly Format[] = allFormats(); + +const SAMPLE_BASE = `You are a code reviewer. Review the patch and return findings as JSON +with keys: severity (low|medium|high), file, line, message. +Be concise.`; + +const SAMPLE_HEAD = `You are an expert code reviewer with 10+ years of experience. +Review the patch carefully and return findings as JSON with keys: +severity (low|medium|high), file, line, message, suggestion. +Be concise but thorough. Cover security, perf, correctness, style.`; + +const formatCost = (usd: number): string => { + if (usd >= 0.01) return `$${usd.toFixed(4)}`; + if (usd >= 0.000001) return `$${usd.toFixed(6)}`; + return `$${usd.toExponential(2)}`; +}; + +const formatDeltaCost = (delta: number): string => { + const sign = delta >= 0 ? '+' : '−'; + return `${sign}${formatCost(Math.abs(delta))}`; +}; + +const formatDeltaTokens = (delta: number): string => { + const sign = delta >= 0 ? '+' : '−'; + return `${sign}${Math.abs(delta).toLocaleString()}`; +}; + +interface DiffRow { + model: string; + provider: Provider; + format: Format; + baseTokens: number; + headTokens: number; + baseCost: number; + headCost: number; +} + +const buildModelGroups = (): { provider: Provider; models: string[] }[] => { + const grouped = new Map<Provider, string[]>(); + for (const id of KNOWN_MODELS) { + const p = getModel(id).provider; + const list = grouped.get(p) ?? []; + list.push(id); + grouped.set(p, list); + } + const listed = PROVIDER_ORDER.filter((p) => grouped.has(p)); + const extras = [...grouped.keys()].filter((p) => !PROVIDER_ORDER.includes(p)).sort(); + return [...listed, ...extras].map((provider) => ({ + models: grouped.get(provider) ?? [], + provider, + })); +}; + +export const DiffPage = () => { + usePageTitle('diff', 'sticky-comment preview'); + const [base, setBase] = useState(SAMPLE_BASE); + const [head, setHead] = useState(SAMPLE_HEAD); + const modelGroups = useMemo(() => buildModelGroups(), []); + const [selectedModels, setSelectedModels] = useState<string[]>([ + 'claude-sonnet-4-6', + 'gpt-4o', + 'gemini-2.5-flash', + ]); + const [selectedFormats, setSelectedFormats] = useState<Format[]>(['text', 'json', 'markdown']); + + const toggleModel = (id: string) => + setSelectedModels((p) => (p.includes(id) ? p.filter((m) => m !== id) : [...p, id])); + const toggleFormat = (f: Format) => + setSelectedFormats((p) => (p.includes(f) ? p.filter((x) => x !== f) : [...p, f])); + + const rows: DiffRow[] = useMemo(() => { + if (!base.trim() && !head.trim()) return []; + if (!selectedModels.length || !selectedFormats.length) return []; + const out: DiffRow[] = []; + for (const modelId of selectedModels) { + let model: ReturnType<typeof getModel>; + try { + model = getModel(modelId); + } catch { + continue; + } + for (const format of selectedFormats) { + let baseR: TokenizeResult | null = null; + let headR: TokenizeResult | null = null; + try { + baseR = base.trim() ? tokenize({ format, modelId, prompt: base }) : null; + headR = head.trim() ? tokenize({ format, modelId, prompt: head }) : null; + } catch { + continue; + } + out.push({ + baseCost: baseR?.inputCost ?? 0, + baseTokens: baseR?.inputTokens ?? 0, + format, + headCost: headR?.inputCost ?? 0, + headTokens: headR?.inputTokens ?? 0, + model: modelId, + provider: model.provider, + }); + } + } + return out; + }, [base, head, selectedModels, selectedFormats]); + + // Stable, deterministic synthetic file path so the rendered preview reads like + // the real Action sticky comment, but doesn't pretend to know about a repo. + const fakeFile = 'prompts/review.md'; + const totalDeltaTokens = rows.reduce((acc, r) => acc + (r.headTokens - r.baseTokens), 0); + const totalDeltaCost = rows.reduce((acc, r) => acc + (r.headCost - r.baseCost), 0); + + return ( + <section className="space-y-8 py-8"> + <div> + <p className="text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + ›diff · sticky-comment preview + </p> + <h1 className="mt-2 text-2xl font-bold tracking-tight">prompt diff</h1> + <p className="mt-2 max-w-3xl text-[12.5px] text-[var(--tk-dim)]"> + Paste a base + head prompt. We tokenize both and render a live preview of what the GitHub + Action's sticky PR comment would look like for this change. Same numbers — same + tokenizers, same pricing — without needing a PR. + </p> + </div> + + <div className="grid grid-cols-12 gap-x-6 gap-y-6"> + <div className="col-span-12 lg:col-span-6"> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 01 ›base (main) + </p> + <textarea + value={base} + onChange={(e) => setBase(e.target.value)} + rows={10} + spellCheck={false} + className="block w-full resize-y border border-[var(--tk-rule)] bg-[var(--tk-cell)] p-4 text-[12.5px] leading-[1.65] text-[var(--tk-fg)] focus:border-[var(--tk-amber)] focus:outline-none" + /> + <p className="mt-2 text-[10px] text-[var(--tk-dim)]"> + {base.length.toLocaleString()} chars + </p> + </div> + <div className="col-span-12 lg:col-span-6"> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 02 ›head (PR) + </p> + <textarea + value={head} + onChange={(e) => setHead(e.target.value)} + rows={10} + spellCheck={false} + className="block w-full resize-y border border-[var(--tk-rule)] bg-[var(--tk-cell)] p-4 text-[12.5px] leading-[1.65] text-[var(--tk-fg)] focus:border-[var(--tk-amber)] focus:outline-none" + /> + <p className="mt-2 text-[10px] text-[var(--tk-dim)]"> + {head.length.toLocaleString()} chars + </p> + </div> + </div> + + <div className="grid grid-cols-12 gap-x-6 gap-y-6"> + <div className="col-span-12 lg:col-span-6"> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 03 ›models + </p> + <div className="space-y-3"> + {modelGroups.map(({ provider, models }) => ( + <div key={provider}> + <p className="mb-1.5 text-[9.5px] uppercase tracking-[0.28em] text-[var(--tk-dim)]"> + {provider} + </p> + <div className="flex flex-wrap gap-2"> + {models.map((id) => ( + <button + key={id} + type="button" + onClick={() => toggleModel(id)} + className={ + selectedModels.includes(id) + ? 'border border-[var(--tk-amber)] bg-[var(--tk-amber)] px-2 py-[3px] text-[11px] text-[var(--tk-bg)]' + : 'border border-[var(--tk-rule)] px-2 py-[3px] text-[11px] text-[var(--tk-dim)] hover:border-[var(--tk-amber)] hover:text-[var(--tk-amber)]' + } + > + {selectedModels.includes(id) ? '[x] ' : '[ ] '} + {id} + </button> + ))} + </div> + </div> + ))} + </div> + </div> + <div className="col-span-12 lg:col-span-6"> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 04 ›formats + </p> + <div className="flex flex-wrap gap-2"> + {ALL_FORMATS.map((f) => ( + <button + key={f} + type="button" + onClick={() => toggleFormat(f)} + className={ + selectedFormats.includes(f) + ? 'border border-[var(--tk-amber)] bg-[var(--tk-amber)] px-2 py-[3px] text-[11px] text-[var(--tk-bg)]' + : 'border border-[var(--tk-rule)] px-2 py-[3px] text-[11px] text-[var(--tk-dim)] hover:border-[var(--tk-amber)] hover:text-[var(--tk-amber)]' + } + > + {selectedFormats.includes(f) ? '[x] ' : '[ ] '} + {f} + </button> + ))} + </div> + </div> + </div> + + <div> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 05 › sticky comment preview + </p> + <div className="border border-[var(--tk-rule)] bg-[var(--tk-cell)]"> + <div className="border-b border-[var(--tk-rule)] px-4 py-3"> + <p className="text-[12px] font-bold text-[var(--tk-fg)]">tokenometer</p> + <p className="text-[10.5px] text-[var(--tk-dim)]"> + base sha · head sha · rates_version 2026-05-08 + </p> + </div> + <div className="px-4 py-3"> + <p className="mb-2 text-[11.5px] text-[var(--tk-fg)]"> + <span className="text-[var(--tk-dim)]">Δ total · </span> + <span + className={ + totalDeltaCost > 0 + ? 'text-[var(--tk-red)]' + : totalDeltaCost < 0 + ? 'text-[var(--tk-green)]' + : 'text-[var(--tk-fg)]' + } + > + {formatDeltaCost(totalDeltaCost)} · {formatDeltaTokens(totalDeltaTokens)} tokens + </span> + </p> + {rows.length > 0 ? ( + <div className="overflow-x-auto"> + <table className="w-full border-collapse text-[12px]"> + <thead> + <tr className="border-b border-[var(--tk-rule)] text-[10px] uppercase tracking-[0.25em] text-[var(--tk-dim)]"> + <th className="px-2 py-1.5 text-left font-normal">file</th> + <th className="px-2 py-1.5 text-left font-normal">model</th> + <th className="px-2 py-1.5 text-left font-normal">format</th> + <th className="px-2 py-1.5 text-right font-normal">base</th> + <th className="px-2 py-1.5 text-right font-normal">head</th> + <th className="px-2 py-1.5 text-right font-normal">Δ tokens</th> + <th className="px-2 py-1.5 text-right font-normal">Δ usd</th> + </tr> + </thead> + <tbody> + {rows.map((r, i) => { + const dT = r.headTokens - r.baseTokens; + const dC = r.headCost - r.baseCost; + return ( + <tr + key={`${r.model}-${r.format}-${i}`} + className="border-t border-[var(--tk-rule)]/60" + > + <td className="px-2 py-1 text-[var(--tk-dim)]">{fakeFile}</td> + <td className="px-2 py-1 text-[var(--tk-fg)]">{r.model}</td> + <td className="px-2 py-1 text-[var(--tk-dim)]">{r.format}</td> + <td className="px-2 py-1 text-right tabular-nums text-[var(--tk-fg)]"> + {r.baseTokens.toLocaleString()} + </td> + <td className="px-2 py-1 text-right tabular-nums text-[var(--tk-fg)]"> + {r.headTokens.toLocaleString()} + </td> + <td + className={ + dT > 0 + ? 'px-2 py-1 text-right tabular-nums text-[var(--tk-red)]' + : dT < 0 + ? 'px-2 py-1 text-right tabular-nums text-[var(--tk-green)]' + : 'px-2 py-1 text-right tabular-nums text-[var(--tk-fg)]' + } + > + {formatDeltaTokens(dT)} + </td> + <td + className={ + dC > 0 + ? 'px-2 py-1 text-right tabular-nums text-[var(--tk-red)]' + : dC < 0 + ? 'px-2 py-1 text-right tabular-nums text-[var(--tk-green)]' + : 'px-2 py-1 text-right tabular-nums text-[var(--tk-fg)]' + } + > + {formatDeltaCost(dC)} + </td> + </tr> + ); + })} + </tbody> + </table> + </div> + ) : ( + <p className="text-[12px] text-[var(--tk-dim)]"> + pick at least one model and format to see the diff preview. + </p> + )} + </div> + </div> + <p className="mt-3 text-[11px] text-[var(--tk-dim)]"> + The actual GitHub Action posts this on every PR that touches a tracked path. See{' '} + <a + href="https://github.com/faraa2m/tokenometer#github-action" + className="underline decoration-[var(--tk-amber-dim)] underline-offset-4" + > + github.com/faraa2m/tokenometer + </a>{' '} + for setup. + </p> + </div> + </section> + ); +}; diff --git a/packages/web/src/pages/EditorPage.tsx b/packages/web/src/pages/EditorPage.tsx new file mode 100644 index 0000000..35400ab --- /dev/null +++ b/packages/web/src/pages/EditorPage.tsx @@ -0,0 +1,82 @@ +import { CodeBlock } from '../components/CodeBlock.js'; +import { usePageTitle } from '../hooks/usePageTitle.js'; + +const SAMPLE_OUTPUT = `prompt-cost.md · 41 tokens · $0.000123 + · claude-sonnet-4-6 / text + · rates_version 2026-05-08`; + +export const EditorPage = () => { + usePageTitle('vs code', 'tokenometer in your editor'); + return ( + <section className="space-y-8 py-8"> + <div> + <p className="text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + ›editor · vs code extension (wave 3) + </p> + <h1 className="mt-2 text-2xl font-bold tracking-tight">vs code extension</h1> + <p className="mt-2 max-w-3xl text-[12.5px] text-[var(--tk-dim)]"> + Real-time token cost in your status bar as you edit prompts. Same numbers as the + calculator, same tokenizers, no telemetry. Currently in development as part of Wave 3. + </p> + </div> + + <div className="grid grid-cols-12 gap-x-6 gap-y-6"> + <div className="col-span-12 md:col-span-7 space-y-4"> + <div className="border border-[var(--tk-rule)] bg-[var(--tk-cell)] p-4 text-[12.5px]"> + <p className="text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + status-bar preview + </p> + <pre className="mt-2 whitespace-pre-wrap text-[var(--tk-fg)]">{SAMPLE_OUTPUT}</pre> + </div> + <div className="space-y-2 text-[12.5px]"> + <p className="text-[var(--tk-fg)]">Planned features:</p> + <ul className="space-y-1 text-[var(--tk-dim)]"> + <li>· live status-bar token count + cost for the active editor</li> + <li>· hover provenance: tokenizer, model, rates_version</li> + <li>· `tokenometer: measure file` command, posts results to a panel</li> + <li>· honors workspace `.tokenometer.yml` for default model + format</li> + <li>· no telemetry; offline by default</li> + </ul> + </div> + </div> + <div className="col-span-12 md:col-span-5"> + <div className="border border-[var(--tk-rule)] bg-[var(--tk-cell)] p-4"> + <p className="text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]">install</p> + <button + type="button" + disabled + className="mt-3 inline-block cursor-not-allowed border border-[var(--tk-rule)] bg-[var(--tk-bg)] px-4 py-2 text-[12px] uppercase tracking-[0.18em] text-[var(--tk-dim)] opacity-70" + > + › marketplace · TODO + </button> + <p className="mt-3 text-[10.5px] text-[var(--tk-dim)]"> + Marketplace listing pending. Track progress on the{' '} + <a + href="https://github.com/faraa2m/tokenometer/issues" + className="underline decoration-[var(--tk-amber-dim)] underline-offset-4" + > + issues board + </a> + . + </p> + </div> + <div className="mt-4 border border-[var(--tk-rule)] bg-[var(--tk-cell)] p-4"> + <p className="text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + build from source + </p> + <CodeBlock + code={[ + 'git clone https://github.com/faraa2m/tokenometer', + 'cd tokenometer/packages/vscode', + 'npm install && npm run package', + '# .vsix lands in ./dist – install via VS Code Extensions tab', + ].join('\n')} + filename="bash" + language="bash" + /> + </div> + </div> + </div> + </section> + ); +}; diff --git a/packages/web/src/pages/InitPage.tsx b/packages/web/src/pages/InitPage.tsx new file mode 100644 index 0000000..52ab1d4 --- /dev/null +++ b/packages/web/src/pages/InitPage.tsx @@ -0,0 +1,205 @@ +import { KNOWN_MODELS, allFormats, getModel } from '@tokenometer/core'; +import type { Format, Provider } from '@tokenometer/core'; +import { useMemo, useState } from 'react'; +import { CodeBlock } from '../components/CodeBlock.js'; +import { usePageTitle } from '../hooks/usePageTitle.js'; + +const PROVIDER_ORDER: readonly Provider[] = ['anthropic', 'openai', 'google']; +const ALL_FORMATS: readonly Format[] = allFormats(); + +const buildModelGroups = (): { provider: Provider; models: string[] }[] => { + const grouped = new Map<Provider, string[]>(); + for (const id of KNOWN_MODELS) { + const p = getModel(id).provider; + const list = grouped.get(p) ?? []; + list.push(id); + grouped.set(p, list); + } + const listed = PROVIDER_ORDER.filter((p) => grouped.has(p)); + const extras = [...grouped.keys()].filter((p) => !PROVIDER_ORDER.includes(p)).sort(); + return [...listed, ...extras].map((provider) => ({ + models: grouped.get(provider) ?? [], + provider, + })); +}; + +interface BuildOptions { + models: string[]; + formats: Format[]; + totalBudget: string; + paths: string; +} + +const buildWorkflow = ({ models, formats, totalBudget, paths }: BuildOptions): string => { + const modelsCsv = models.join(','); + const formatsCsv = formats.join(','); + return `name: prompt-cost +on: + pull_request: + paths: +${paths + .split(',') + .map((p) => p.trim()) + .filter(Boolean) + .map((p) => ` - '${p}'`) + .join('\n')} + +permissions: + contents: read + pull-requests: write + # for SARIF upload to Code Scanning, also enable: security-events: write + +jobs: + cost: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: faraa2m/tokenometer@v1 + with: + models: '${modelsCsv}' + formats: '${formatsCsv}' + total-budget: '${totalBudget}' + # top-n-files: '5' # how many files to highlight in the sticky comment + # paths: '${paths}' # override the on.paths trigger if you want + # sarif: 'tokenometer.sarif' # uncomment + the security-events permission + env: + GITHUB_TOKEN: \${{ secrets.GITHUB_TOKEN }} +`; +}; + +export const InitPage = () => { + usePageTitle('init', '.github/workflows generator'); + const modelGroups = useMemo(() => buildModelGroups(), []); + const [models, setModels] = useState<string[]>(['claude-sonnet-4-6', 'gpt-4o']); + const [formats, setFormats] = useState<Format[]>(['text']); + const [totalBudget, setTotalBudget] = useState('5'); + const [paths, setPaths] = useState('prompts/**/*.md'); + + const yaml = useMemo( + () => buildWorkflow({ formats, models, paths, totalBudget }), + [models, formats, totalBudget, paths], + ); + + const toggleModel = (id: string) => + setModels((p) => (p.includes(id) ? p.filter((m) => m !== id) : [...p, id])); + const toggleFormat = (f: Format) => + setFormats((p) => (p.includes(f) ? p.filter((x) => x !== f) : [...p, f])); + + return ( + <section className="space-y-8 py-8"> + <div> + <p className="text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + ›init · github workflow generator + </p> + <h1 className="mt-2 text-2xl font-bold tracking-tight">init</h1> + <p className="mt-2 max-w-3xl text-[12.5px] text-[var(--tk-dim)]"> + Pick what to track. We render a copy-paste-ready{' '} + <code className="text-[var(--tk-fg)]">.github/workflows/prompt-cost.yml</code>. Drop it in + your repo, push, and every PR that touches a tracked path gets a sticky token-cost + comment. + </p> + </div> + + <div className="grid grid-cols-12 gap-x-6 gap-y-6"> + <div className="col-span-12 lg:col-span-7 space-y-6"> + <div> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 01 ›models + </p> + <div className="space-y-3"> + {modelGroups.map(({ provider, models: m }) => ( + <div key={provider}> + <p className="mb-1.5 text-[9.5px] uppercase tracking-[0.28em] text-[var(--tk-dim)]"> + {provider} + </p> + <div className="flex flex-wrap gap-2"> + {m.map((id) => ( + <button + key={id} + type="button" + onClick={() => toggleModel(id)} + className={ + models.includes(id) + ? 'border border-[var(--tk-amber)] bg-[var(--tk-amber)] px-2 py-[3px] text-[11px] text-[var(--tk-bg)]' + : 'border border-[var(--tk-rule)] px-2 py-[3px] text-[11px] text-[var(--tk-dim)] hover:border-[var(--tk-amber)] hover:text-[var(--tk-amber)]' + } + > + {models.includes(id) ? '[x] ' : '[ ] '} + {id} + </button> + ))} + </div> + </div> + ))} + </div> + </div> + <div> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 02 ›formats + </p> + <div className="flex flex-wrap gap-2"> + {ALL_FORMATS.map((f) => ( + <button + key={f} + type="button" + onClick={() => toggleFormat(f)} + className={ + formats.includes(f) + ? 'border border-[var(--tk-amber)] bg-[var(--tk-amber)] px-2 py-[3px] text-[11px] text-[var(--tk-bg)]' + : 'border border-[var(--tk-rule)] px-2 py-[3px] text-[11px] text-[var(--tk-dim)] hover:border-[var(--tk-amber)] hover:text-[var(--tk-amber)]' + } + > + {formats.includes(f) ? '[x] ' : '[ ] '} + {f} + </button> + ))} + </div> + </div> + </div> + <div className="col-span-12 lg:col-span-5 space-y-4"> + <div> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 03 ›paths (comma-separated globs) + </p> + <input + type="text" + value={paths} + onChange={(e) => setPaths(e.target.value)} + spellCheck={false} + className="block w-full border border-[var(--tk-rule)] bg-[var(--tk-cell)] px-2 py-1.5 text-[12px] text-[var(--tk-fg)] focus:border-[var(--tk-amber)] focus:outline-none" + /> + </div> + <div> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 04 ›total budget ($) + </p> + <input + type="text" + value={totalBudget} + onChange={(e) => setTotalBudget(e.target.value)} + spellCheck={false} + className="block w-full border border-[var(--tk-rule)] bg-[var(--tk-cell)] px-2 py-1.5 text-[12px] text-[var(--tk-fg)] focus:border-[var(--tk-amber)] focus:outline-none" + /> + </div> + </div> + </div> + + <div> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 05 › workflow yaml + </p> + <CodeBlock code={yaml} filename=".github/workflows/prompt-cost.yml" language="yaml" /> + <p className="mt-3 text-[11px] text-[var(--tk-dim)]"> + See full input docs at{' '} + <a + href="https://github.com/faraa2m/tokenometer#github-action" + className="underline decoration-[var(--tk-amber-dim)] underline-offset-4" + > + github.com/faraa2m/tokenometer#github-action + </a> + . + </p> + </div> + </section> + ); +}; diff --git a/packages/web/src/pages/LandingPage.tsx b/packages/web/src/pages/LandingPage.tsx new file mode 100644 index 0000000..b40128f --- /dev/null +++ b/packages/web/src/pages/LandingPage.tsx @@ -0,0 +1,37 @@ +import { Playground } from '../components/Playground.js'; +import { usePageTitle } from '../hooks/usePageTitle.js'; + +const SAMPLE_PROMPT = `{ + "instructions": "Summarize the user's input in three bullets.", + "constraints": { "max_bullets": 3, "tone": "neutral" } +}`; + +const SHELL_BANNER = [ + '$ tokenometer --version', + 'tokenometer 0.0.2 rates_version=2026-05-08', + '', + '$ tokenometer --help', + ' measure: empirical token cost across providers and formats.', + ' policy: no telemetry, no key persistence, BYO-API-key for empirical mode.', + ' source: github.com/faraa2m/tokenometer', +]; + +export const LandingPage = () => { + usePageTitle('calculator', 'paste a prompt, see the cost'); + return ( + <> + <section className="grid grid-cols-12 gap-x-6 border-b border-[var(--tk-rule)] py-8 sm:py-10"> + <div className="col-span-12"> + <pre className="whitespace-pre-wrap text-[12.5px] leading-[1.7] text-[var(--tk-fg)]"> + {SHELL_BANNER.join('\n')} + </pre> + <p className="mt-3 text-[12.5px] tk-cursor text-[var(--tk-amber)]"> + $ tokenometer measure + </p> + </div> + </section> + + <Playground initialPrompt={SAMPLE_PROMPT} /> + </> + ); +}; diff --git a/packages/web/src/pages/ModelDetailPage.tsx b/packages/web/src/pages/ModelDetailPage.tsx new file mode 100644 index 0000000..c546fcb --- /dev/null +++ b/packages/web/src/pages/ModelDetailPage.tsx @@ -0,0 +1,170 @@ +import { RATES_VERSION, getModel, getRate } from '@tokenometer/core'; +import type { ModelDescriptor, RateEntry } from '@tokenometer/core'; +import { Link, useParams } from 'react-router-dom'; +import { usePageTitle } from '../hooks/usePageTitle.js'; + +const formatRate = (per1k: number): string => `$${per1k.toFixed(per1k < 0.001 ? 6 : 4)}`; + +const formatCtx = (n?: number): string => { + if (!n) return 'unknown'; + if (n >= 1_000_000) return `${(n / 1_000_000).toFixed(n % 1_000_000 === 0 ? 0 : 1)}M tokens`; + if (n >= 1000) return `${Math.round(n / 1000)}k tokens`; + return `${n} tokens`; +}; + +const sampleCostFor = (rate: RateEntry, tokens: number): number => + (tokens / 1000) * rate.inputPer1k; + +interface DetailViewProps { + id: string; + model: ModelDescriptor; + rate: RateEntry; +} + +const DetailView = ({ id, model, rate }: DetailViewProps) => { + usePageTitle(id, `${model.provider} · ${formatRate(rate.inputPer1k)} per 1k input`); + const sample1k = sampleCostFor(rate, 1000); + const sample10k = sampleCostFor(rate, 10_000); + const sample100k = sampleCostFor(rate, 100_000); + const ratio = + rate.cachedInputPer1k !== undefined && rate.cachedInputPer1k > 0 + ? rate.inputPer1k / rate.cachedInputPer1k + : null; + + return ( + <section className="space-y-8 py-8"> + <div> + <p className="text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + ›model · {model.provider} + </p> + <h1 className="mt-2 break-all text-2xl font-bold tracking-tight">{id}</h1> + <p className="mt-2 text-[12.5px] text-[var(--tk-dim)]"> + {model.provider} · pricing source: {model.pricingSource ?? 'unknown'} · rates{' '} + {RATES_VERSION} + </p> + </div> + + <div className="grid grid-cols-12 gap-x-6 gap-y-6"> + <div className="col-span-12 sm:col-span-6 border border-[var(--tk-rule)] bg-[var(--tk-cell)] p-4"> + <p className="text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]">pricing</p> + <dl className="mt-2 grid grid-cols-2 gap-x-4 gap-y-1 text-[12.5px]"> + <dt className="text-[var(--tk-dim)]">input · per 1k</dt> + <dd className="tabular-nums text-[var(--tk-fg)]">{formatRate(rate.inputPer1k)}</dd> + <dt className="text-[var(--tk-dim)]">output · per 1k</dt> + <dd className="tabular-nums text-[var(--tk-fg)]">{formatRate(rate.outputPer1k)}</dd> + {rate.cachedInputPer1k !== undefined && ( + <> + <dt className="text-[var(--tk-dim)]">cached input</dt> + <dd className="tabular-nums text-[var(--tk-fg)]"> + {formatRate(rate.cachedInputPer1k)} + {ratio ? ( + <span className="ml-1 text-[var(--tk-dim)]">({ratio.toFixed(0)}× cheaper)</span> + ) : null} + </dd> + </> + )} + </dl> + </div> + <div className="col-span-12 sm:col-span-6 border border-[var(--tk-rule)] bg-[var(--tk-cell)] p-4"> + <p className="text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]">capacity</p> + <dl className="mt-2 grid grid-cols-2 gap-x-4 gap-y-1 text-[12.5px]"> + <dt className="text-[var(--tk-dim)]">context window</dt> + <dd className="tabular-nums text-[var(--tk-fg)]">{formatCtx(model.contextWindow)}</dd> + <dt className="text-[var(--tk-dim)]">max output</dt> + <dd className="tabular-nums text-[var(--tk-fg)]">{formatCtx(model.maxOutputTokens)}</dd> + </dl> + </div> + </div> + + <div className="border border-[var(--tk-rule)] bg-[var(--tk-cell)]"> + <div className="border-b border-[var(--tk-rule)] px-4 py-2 text-[10px] uppercase tracking-[0.25em] text-[var(--tk-dim)]"> + sample input costs (no output included) + </div> + <div className="grid grid-cols-3 divide-x divide-[var(--tk-rule)] text-[12.5px]"> + {[ + ['1k tokens', sample1k], + ['10k tokens', sample10k], + ['100k tokens', sample100k], + ].map(([label, value]) => ( + <div key={label as string} className="px-4 py-3"> + <p className="text-[10px] uppercase tracking-[0.25em] text-[var(--tk-dim)]"> + {label} + </p> + <p className="mt-1 tabular-nums text-[var(--tk-fg)]"> + ${(value as number).toFixed(6)} + </p> + </div> + ))} + </div> + </div> + + <div className="text-[12px]"> + <p> + Counted with the same tokenizer the calculator uses for {model.provider}. For exact + provider numbers, run{' '} + <code className="text-[var(--tk-fg)]">tokenometer measure --empirical</code> from the CLI. + </p> + </div> + + <div className="flex flex-wrap gap-4 text-[11.5px]"> + <Link + to="/models" + className="border border-[var(--tk-rule)] px-3 py-1.5 text-[var(--tk-fg)] hover:border-[var(--tk-amber)] hover:text-[var(--tk-amber)]" + > + ‹ back to atlas + </Link> + <Link + to="/calculator" + className="border border-[var(--tk-rule)] px-3 py-1.5 text-[var(--tk-fg)] hover:border-[var(--tk-amber)] hover:text-[var(--tk-amber)]" + > + measure a prompt with this model + </Link> + </div> + </section> + ); +}; + +export const ModelDetailPage = () => { + const params = useParams<{ id: string }>(); + const id = params.id ? decodeURIComponent(params.id) : ''; + + let model: ModelDescriptor | null = null; + let rate: RateEntry | null = null; + try { + model = getModel(id); + rate = getRate(id); + } catch { + model = null; + rate = null; + } + + if (!id) { + return ( + <section className="space-y-4 py-8"> + <h1 className="text-2xl font-bold tracking-tight">missing model id</h1> + <Link to="/models" className="text-[var(--tk-amber)] underline underline-offset-4"> + ‹ back to atlas + </Link> + </section> + ); + } + + if (!model || !rate) { + return ( + <section className="space-y-4 py-8"> + <p className="text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + ›model · not found + </p> + <h1 className="break-all text-2xl font-bold tracking-tight">{id}</h1> + <p className="text-[12.5px] text-[var(--tk-red)]"> + unknown model. it may have been retired or never tracked here. + </p> + <Link to="/models" className="text-[var(--tk-amber)] underline underline-offset-4"> + ‹ back to atlas + </Link> + </section> + ); + } + + return <DetailView id={id} model={model} rate={rate} />; +}; diff --git a/packages/web/src/pages/ModelsPage.tsx b/packages/web/src/pages/ModelsPage.tsx new file mode 100644 index 0000000..a6b4225 --- /dev/null +++ b/packages/web/src/pages/ModelsPage.tsx @@ -0,0 +1,237 @@ +import { KNOWN_MODELS, RATES_VERSION, getModel, getRate } from '@tokenometer/core'; +import type { Provider } from '@tokenometer/core'; +import { useMemo, useState } from 'react'; +import { Link } from 'react-router-dom'; +import { usePageTitle } from '../hooks/usePageTitle.js'; + +interface AtlasRow { + id: string; + provider: Provider; + inputPer1k: number; + outputPer1k: number; + cachedInputPer1k?: number; + contextWindow?: number; + maxOutputTokens?: number; + pricingSource?: 'local' | 'tokenlens'; +} + +type SortKey = 'provider' | 'id' | 'input' | 'output' | 'context'; +type SortDir = 'asc' | 'desc'; + +// Built dynamically inside the component once we know which providers actually +// appear in the registry — the Provider union may include providers nobody has +// shipped a model for. + +const formatRate = (per1k: number): string => `$${per1k.toFixed(per1k < 0.001 ? 6 : 4)}`; + +const formatCtx = (n?: number): string => { + if (!n) return '—'; + if (n >= 1_000_000) return `${(n / 1_000_000).toFixed(n % 1_000_000 === 0 ? 0 : 1)}M`; + if (n >= 1000) return `${Math.round(n / 1000)}k`; + return String(n); +}; + +const buildAtlas = (): AtlasRow[] => { + const out: AtlasRow[] = []; + for (const id of KNOWN_MODELS) { + try { + const m = getModel(id); + const r = getRate(id); + out.push({ + ...(m.contextWindow !== undefined ? { contextWindow: m.contextWindow } : {}), + ...(m.maxOutputTokens !== undefined ? { maxOutputTokens: m.maxOutputTokens } : {}), + ...(m.pricingSource !== undefined ? { pricingSource: m.pricingSource } : {}), + ...(r.cachedInputPer1k !== undefined ? { cachedInputPer1k: r.cachedInputPer1k } : {}), + id, + inputPer1k: r.inputPer1k, + outputPer1k: r.outputPer1k, + provider: m.provider, + }); + } catch { + // skip unknown - shouldn't happen since we iterate KNOWN_MODELS. + } + } + return out; +}; + +const sortRows = (rows: AtlasRow[], key: SortKey, dir: SortDir): AtlasRow[] => { + const dirMul = dir === 'asc' ? 1 : -1; + return [...rows].sort((a, b) => { + let cmp = 0; + switch (key) { + case 'provider': + cmp = a.provider.localeCompare(b.provider); + if (cmp === 0) cmp = a.id.localeCompare(b.id); + break; + case 'id': + cmp = a.id.localeCompare(b.id); + break; + case 'input': + cmp = a.inputPer1k - b.inputPer1k; + break; + case 'output': + cmp = a.outputPer1k - b.outputPer1k; + break; + case 'context': + cmp = (a.contextWindow ?? 0) - (b.contextWindow ?? 0); + break; + } + return cmp * dirMul; + }); +}; + +export const ModelsPage = () => { + usePageTitle('cost atlas', 'every model, every rate'); + const allRows = useMemo(() => buildAtlas(), []); + const providerOptions = useMemo<readonly ('all' | Provider)[]>( + () => ['all', ...Array.from(new Set(allRows.map((r) => r.provider))).sort()], + [allRows], + ); + const [providerFilter, setProviderFilter] = useState<'all' | Provider>('all'); + const [search, setSearch] = useState(''); + const [sortKey, setSortKey] = useState<SortKey>('provider'); + const [sortDir, setSortDir] = useState<SortDir>('asc'); + + const rows = useMemo(() => { + const q = search.trim().toLowerCase(); + const filtered = allRows.filter((r) => { + if (providerFilter !== 'all' && r.provider !== providerFilter) return false; + if (q && !r.id.toLowerCase().includes(q) && !r.provider.toLowerCase().includes(q)) + return false; + return true; + }); + return sortRows(filtered, sortKey, sortDir); + }, [allRows, providerFilter, search, sortKey, sortDir]); + + const onSort = (key: SortKey) => { + if (key === sortKey) setSortDir((d) => (d === 'asc' ? 'desc' : 'asc')); + else { + setSortKey(key); + setSortDir(key === 'input' || key === 'output' ? 'asc' : 'asc'); + } + }; + + const sortIndicator = (key: SortKey): string => { + if (sortKey !== key) return ''; + return sortDir === 'asc' ? ' ▲' : ' ▼'; + }; + + return ( + <section className="space-y-8 py-8"> + <div> + <p className="text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + ›cost atlas · {allRows.length} models · rates {RATES_VERSION} + </p> + <h1 className="mt-2 text-2xl font-bold tracking-tight">models</h1> + <p className="mt-2 max-w-3xl text-[12.5px] text-[var(--tk-dim)]"> + Every model tokenometer knows about, sourced from the{' '} + <a + href="https://github.com/Lakra-Sumant/tokenlens" + className="underline decoration-[var(--tk-amber-dim)] underline-offset-4" + > + tokenlens + </a>{' '} + registry plus a small list of hand-tracked overrides for bleeding-edge releases. Prices + shown are USD per 1,000 input/output tokens. Click a row for details. + </p> + </div> + + <div className="grid grid-cols-12 gap-x-4 gap-y-3"> + <div className="col-span-12 sm:col-span-4"> + <p className="mb-1.5 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + search + </p> + <input + type="text" + value={search} + onChange={(e) => setSearch(e.target.value)} + spellCheck={false} + placeholder="claude / gpt / gemini / o3..." + className="block w-full border border-[var(--tk-rule)] bg-[var(--tk-cell)] px-2 py-1.5 text-[12px] text-[var(--tk-fg)] focus:border-[var(--tk-amber)] focus:outline-none" + /> + </div> + <div className="col-span-12 sm:col-span-4"> + <p className="mb-1.5 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + provider + </p> + <select + value={providerFilter} + onChange={(e) => setProviderFilter(e.target.value as 'all' | Provider)} + className="block w-full border border-[var(--tk-rule)] bg-[var(--tk-cell)] px-2 py-1.5 text-[12px] text-[var(--tk-fg)] focus:border-[var(--tk-amber)] focus:outline-none" + > + {providerOptions.map((p) => ( + <option key={p} value={p}> + {p} + </option> + ))} + </select> + </div> + </div> + + <div className="overflow-x-auto border border-[var(--tk-rule)]"> + <table className="w-full border-collapse text-[12.5px]"> + <thead> + <tr className="border-b border-[var(--tk-rule)] text-[10px] uppercase tracking-[0.25em] text-[var(--tk-dim)]"> + {( + [ + ['id', 'model'], + ['provider', 'provider'], + ['input', 'in $/1k'], + ['output', 'out $/1k'], + ['context', 'context'], + ] as const + ).map(([key, label]) => ( + <th key={key} className="px-3 py-2 text-left font-normal"> + <button + type="button" + onClick={() => onSort(key)} + className="cursor-pointer text-left text-[10px] uppercase tracking-[0.25em] text-[var(--tk-dim)] hover:text-[var(--tk-amber)]" + > + {label} + {sortIndicator(key)} + </button> + </th> + ))} + <th className="px-3 py-2 text-left font-normal">notes</th> + </tr> + </thead> + <tbody> + {rows.map((r) => ( + <tr key={r.id} className="border-t border-[var(--tk-rule)]/60"> + <td className="px-3 py-1.5 text-[var(--tk-fg)]"> + <Link + to={`/models/${encodeURIComponent(r.id)}`} + className="underline decoration-[var(--tk-amber-dim)] underline-offset-4 hover:text-[var(--tk-amber)]" + > + {r.id} + </Link> + </td> + <td className="px-3 py-1.5 text-[var(--tk-dim)]">{r.provider}</td> + <td className="px-3 py-1.5 tabular-nums text-[var(--tk-fg)]"> + {formatRate(r.inputPer1k)} + </td> + <td className="px-3 py-1.5 tabular-nums text-[var(--tk-fg)]"> + {formatRate(r.outputPer1k)} + </td> + <td className="px-3 py-1.5 tabular-nums text-[var(--tk-dim)]"> + {formatCtx(r.contextWindow)} + </td> + <td className="px-3 py-1.5 text-[10.5px] text-[var(--tk-dim)]"> + {r.pricingSource ?? '—'} + {r.cachedInputPer1k ? ` · cache ${formatRate(r.cachedInputPer1k)}` : ''} + </td> + </tr> + ))} + {rows.length === 0 && ( + <tr> + <td colSpan={6} className="px-3 py-4 text-center text-[12px] text-[var(--tk-dim)]"> + no models match + </td> + </tr> + )} + </tbody> + </table> + </div> + </section> + ); +}; diff --git a/packages/web/src/pages/SarifPage.tsx b/packages/web/src/pages/SarifPage.tsx new file mode 100644 index 0000000..9619341 --- /dev/null +++ b/packages/web/src/pages/SarifPage.tsx @@ -0,0 +1,171 @@ +import { KNOWN_MODELS, allFormats, getModel, toSarif, tokenize } from '@tokenometer/core'; +import type { Format, Provider } from '@tokenometer/core'; +import { useMemo, useState } from 'react'; +import { CodeBlock } from '../components/CodeBlock.js'; +import { usePageTitle } from '../hooks/usePageTitle.js'; + +const PROVIDER_ORDER: readonly Provider[] = ['anthropic', 'openai', 'google']; +const ALL_FORMATS: readonly Format[] = allFormats(); + +const SAMPLE_PROMPT = `You are a thoughtful reviewer. Read the diff and reply with +a JSON array of findings: [{ "file": "...", "line": 0, "severity": "low", +"message": "..." }]. Be precise.`; + +const buildModelGroups = (): { provider: Provider; models: string[] }[] => { + const grouped = new Map<Provider, string[]>(); + for (const id of KNOWN_MODELS) { + const p = getModel(id).provider; + const list = grouped.get(p) ?? []; + list.push(id); + grouped.set(p, list); + } + const listed = PROVIDER_ORDER.filter((p) => grouped.has(p)); + const extras = [...grouped.keys()].filter((p) => !PROVIDER_ORDER.includes(p)).sort(); + return [...listed, ...extras].map((provider) => ({ + models: grouped.get(provider) ?? [], + provider, + })); +}; + +export const SarifPage = () => { + usePageTitle('sarif', 'live JSON for Code Scanning'); + const [prompt, setPrompt] = useState(SAMPLE_PROMPT); + const [filePath, setFilePath] = useState('prompts/review.md'); + const modelGroups = useMemo(() => buildModelGroups(), []); + const [selectedModels, setSelectedModels] = useState<string[]>(['claude-sonnet-4-6', 'gpt-4o']); + const [selectedFormats, setSelectedFormats] = useState<Format[]>(['text', 'markdown']); + + const toggleModel = (id: string) => + setSelectedModels((p) => (p.includes(id) ? p.filter((m) => m !== id) : [...p, id])); + const toggleFormat = (f: Format) => + setSelectedFormats((p) => (p.includes(f) ? p.filter((x) => x !== f) : [...p, f])); + + const sarif = useMemo(() => { + if (!prompt.trim() || !selectedModels.length || !selectedFormats.length) return null; + const cells = []; + for (const modelId of selectedModels) { + for (const format of selectedFormats) { + try { + cells.push(tokenize({ format, modelId, prompt })); + } catch { + // Unknown model id — silently skip; UI shows known list separately. + } + } + } + return toSarif( + { files: [{ path: filePath || 'prompt.md', results: cells }] }, + { toolVersion: '0.0.2' }, + ); + }, [prompt, filePath, selectedModels, selectedFormats]); + + const json = sarif ? JSON.stringify(sarif, null, 2) : ''; + + return ( + <section className="space-y-8 py-8"> + <div> + <p className="text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + ›sarif · github code scanning output + </p> + <h1 className="mt-2 text-2xl font-bold tracking-tight">sarif</h1> + <p className="mt-2 max-w-3xl text-[12.5px] text-[var(--tk-dim)]"> + Tokenometer can emit SARIF 2.1.0 for the Code Scanning tab. Paste a prompt, pick models + + formats, and watch the JSON update live. The CLI's <span>--format sarif</span> + produces this exact shape. + </p> + </div> + + <div className="grid grid-cols-12 gap-x-6 gap-y-6"> + <div className="col-span-12 lg:col-span-6"> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 01 ›prompt + </p> + <textarea + value={prompt} + onChange={(e) => setPrompt(e.target.value)} + rows={8} + spellCheck={false} + className="block w-full resize-y border border-[var(--tk-rule)] bg-[var(--tk-cell)] p-4 text-[12.5px] leading-[1.65] text-[var(--tk-fg)] focus:border-[var(--tk-amber)] focus:outline-none" + /> + <p className="mt-3 mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 02 ›file path + </p> + <input + type="text" + value={filePath} + onChange={(e) => setFilePath(e.target.value)} + spellCheck={false} + className="block w-full border border-[var(--tk-rule)] bg-[var(--tk-cell)] px-2 py-1.5 text-[12px] text-[var(--tk-fg)] focus:border-[var(--tk-amber)] focus:outline-none" + /> + </div> + <div className="col-span-12 lg:col-span-6 space-y-4"> + <div> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 03 ›models + </p> + <div className="space-y-3"> + {modelGroups.map(({ provider, models }) => ( + <div key={provider}> + <p className="mb-1.5 text-[9.5px] uppercase tracking-[0.28em] text-[var(--tk-dim)]"> + {provider} + </p> + <div className="flex flex-wrap gap-2"> + {models.map((id) => ( + <button + key={id} + type="button" + onClick={() => toggleModel(id)} + className={ + selectedModels.includes(id) + ? 'border border-[var(--tk-amber)] bg-[var(--tk-amber)] px-2 py-[3px] text-[11px] text-[var(--tk-bg)]' + : 'border border-[var(--tk-rule)] px-2 py-[3px] text-[11px] text-[var(--tk-dim)] hover:border-[var(--tk-amber)] hover:text-[var(--tk-amber)]' + } + > + {selectedModels.includes(id) ? '[x] ' : '[ ] '} + {id} + </button> + ))} + </div> + </div> + ))} + </div> + </div> + <div> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 04 ›formats + </p> + <div className="flex flex-wrap gap-2"> + {ALL_FORMATS.map((f) => ( + <button + key={f} + type="button" + onClick={() => toggleFormat(f)} + className={ + selectedFormats.includes(f) + ? 'border border-[var(--tk-amber)] bg-[var(--tk-amber)] px-2 py-[3px] text-[11px] text-[var(--tk-bg)]' + : 'border border-[var(--tk-rule)] px-2 py-[3px] text-[11px] text-[var(--tk-dim)] hover:border-[var(--tk-amber)] hover:text-[var(--tk-amber)]' + } + > + {selectedFormats.includes(f) ? '[x] ' : '[ ] '} + {f} + </button> + ))} + </div> + </div> + </div> + </div> + + <div> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 05 › sarif log + </p> + {json ? ( + <CodeBlock code={json} filename="tokenometer.sarif" language="json" /> + ) : ( + <p className="text-[12px] text-[var(--tk-dim)]"> + paste a prompt and pick a model + format to render SARIF. + </p> + )} + </div> + </section> + ); +}; diff --git a/packages/web/src/pages/VisionPage.tsx b/packages/web/src/pages/VisionPage.tsx new file mode 100644 index 0000000..b991cd0 --- /dev/null +++ b/packages/web/src/pages/VisionPage.tsx @@ -0,0 +1,248 @@ +import { + anthropicVisionTokens, + getRate, + googleVisionTokens, + openaiVisionTokens, +} from '@tokenometer/core'; +import { useEffect, useState } from 'react'; +import { usePageTitle } from '../hooks/usePageTitle.js'; + +interface ImageItem { + file: File; + url: string; + width: number; + height: number; +} + +interface ProviderRow { + provider: 'anthropic' | 'openai' | 'google'; + modelId: string; + tokens: number; + cost: number; + note: string; +} + +const formatCost = (usd: number): string => { + if (usd >= 0.01) return `$${usd.toFixed(4)}`; + if (usd >= 0.000001) return `$${usd.toFixed(6)}`; + return `$${usd.toExponential(2)}`; +}; + +const safeRate = (modelId: string): { input: number } | null => { + try { + return { input: getRate(modelId).inputPer1k }; + } catch { + return null; + } +}; + +const buildRows = (img: ImageItem, openaiDetail: 'low' | 'high'): ProviderRow[] => { + const out: ProviderRow[] = []; + const anthropic = anthropicVisionTokens({ height: img.height, width: img.width }); + const aRate = safeRate('claude-sonnet-4-6')?.input ?? 0; + out.push({ + cost: (anthropic / 1000) * aRate, + modelId: 'claude-sonnet-4-6', + note: 'ceil(w*h/750), capped at 1600', + provider: 'anthropic', + tokens: anthropic, + }); + const openai = openaiVisionTokens({ detail: openaiDetail, height: img.height, width: img.width }); + const oRate = safeRate('gpt-4o')?.input ?? 0; + out.push({ + cost: (openai / 1000) * oRate, + modelId: 'gpt-4o', + note: openaiDetail === 'high' ? '85 + 170/tile · 512x512 tiles' : 'low detail · flat 85', + provider: 'openai', + tokens: openai, + }); + const google = googleVisionTokens({ height: img.height, width: img.width }); + const gRate = safeRate('gemini-2.5-flash')?.input ?? 0; + out.push({ + cost: (google / 1000) * gRate, + modelId: 'gemini-2.5-flash', + note: '258 base · 768x768 tiles', + provider: 'google', + tokens: google, + }); + return out; +}; + +export const VisionPage = () => { + usePageTitle('vision', 'image input cost across providers'); + const [images, setImages] = useState<ImageItem[]>([]); + const [openaiDetail, setOpenaiDetail] = useState<'low' | 'high'>('high'); + const [error, setError] = useState<string | null>(null); + + // Free object URLs when images are removed or component unmounts. + useEffect( + () => () => { + for (const i of images) URL.revokeObjectURL(i.url); + }, + [images], + ); + + const onPick = (list: FileList | null) => { + if (!list) return; + setError(null); + const next: Promise<ImageItem | null>[] = []; + for (let i = 0; i < list.length; i++) { + const f = list.item(i); + if (!f) continue; + if (!f.type.startsWith('image/')) continue; + const url = URL.createObjectURL(f); + next.push( + new Promise<ImageItem | null>((resolve) => { + const img = new Image(); + img.onload = () => + resolve({ file: f, height: img.naturalHeight, url, width: img.naturalWidth }); + img.onerror = () => { + URL.revokeObjectURL(url); + resolve(null); + }; + img.src = url; + }), + ); + } + Promise.all(next).then((items) => { + const filtered = items.filter((x): x is ImageItem => x !== null); + if (!filtered.length) { + setError('no readable images in selection'); + return; + } + setImages(filtered); + }); + }; + + return ( + <section className="space-y-8 py-8"> + <div> + <p className="text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + ›vision · image input token cost + </p> + <h1 className="mt-2 text-2xl font-bold tracking-tight">vision</h1> + <p className="mt-2 max-w-3xl text-[12.5px] text-[var(--tk-dim)]"> + Each provider counts image tokens differently. Claude estimates from total pixels. OpenAI + tiles 512×512 squares after a resize. Gemini tiles 768×768 with a 384px small- image flat + rate. Drop an image — we read its dimensions in-browser and run all three estimators. + </p> + </div> + + <div className="grid grid-cols-12 gap-x-6 gap-y-6"> + <div className="col-span-12 lg:col-span-7"> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 01 ›images + </p> + <label className="block cursor-pointer border border-dashed border-[var(--tk-rule)] bg-[var(--tk-cell)] p-8 text-center hover:border-[var(--tk-amber-dim)]"> + <input + type="file" + multiple + accept="image/*" + onChange={(e) => onPick(e.target.files)} + className="hidden" + /> + <p className="text-[12.5px] text-[var(--tk-fg)]"> + {'> click to select images (png / jpg / webp)'} + </p> + <p className="mt-1 text-[10.5px] text-[var(--tk-dim)]"> + read in-browser. nothing is uploaded. + </p> + </label> + {error && <p className="mt-2 text-[11.5px] text-[var(--tk-red)]">err: {error}</p>} + </div> + <div className="col-span-12 lg:col-span-5"> + <p className="mb-2 text-[10px] uppercase tracking-[0.3em] text-[var(--tk-dim)]"> + 02 ›openai detail + </p> + <div className="flex gap-2"> + {(['high', 'low'] as const).map((opt) => ( + <button + key={opt} + type="button" + onClick={() => setOpenaiDetail(opt)} + className={ + openaiDetail === opt + ? 'border border-[var(--tk-amber)] bg-[var(--tk-amber)] px-3 py-1 text-[11px] text-[var(--tk-bg)]' + : 'border border-[var(--tk-rule)] px-3 py-1 text-[11px] text-[var(--tk-dim)] hover:border-[var(--tk-amber)] hover:text-[var(--tk-amber)]' + } + > + {opt} + </button> + ))} + </div> + <p className="mt-2 text-[10.5px] text-[var(--tk-dim)]"> + Anthropic and Google ignore detail; OpenAI charges flat 85 tokens for `low`. + </p> + </div> + </div> + + {images.length > 0 && ( + <div className="space-y-6"> + {images.map((img, idx) => { + const rows = buildRows(img, openaiDetail); + return ( + <div + key={`${img.file.name}-${idx}`} + className="border border-[var(--tk-rule)] bg-[var(--tk-cell)]" + > + <div className="grid grid-cols-12 gap-x-4 border-b border-[var(--tk-rule)] p-4"> + <div className="col-span-12 sm:col-span-3"> + {/* Tag <img> with alt for a11y; src is a blob URL so the image + never leaves the browser. */} + <img + src={img.url} + alt={img.file.name} + className="max-h-32 w-auto border border-[var(--tk-rule)] object-contain" + /> + </div> + <div className="col-span-12 sm:col-span-9 mt-3 sm:mt-0"> + <p className="text-[12.5px] text-[var(--tk-fg)]">{img.file.name}</p> + <p className="text-[10.5px] text-[var(--tk-dim)]"> + {img.width}×{img.height} px · {Math.round(img.file.size / 1024)} KB ·{' '} + {img.file.type} + </p> + </div> + </div> + <div className="overflow-x-auto"> + <table className="w-full border-collapse text-[12.5px]"> + <thead> + <tr className="border-b border-[var(--tk-rule)] text-[10px] uppercase tracking-[0.25em] text-[var(--tk-dim)]"> + <th className="px-3 py-2 text-left font-normal">provider</th> + <th className="px-3 py-2 text-left font-normal">model (rate)</th> + <th className="px-3 py-2 text-right font-normal">tokens</th> + <th className="px-3 py-2 text-right font-normal">cost</th> + <th className="px-3 py-2 text-left font-normal">formula</th> + </tr> + </thead> + <tbody> + {rows.map((r) => ( + <tr key={r.provider} className="border-t border-[var(--tk-rule)]/60"> + <td className="px-3 py-1.5 text-[var(--tk-fg)]">{r.provider}</td> + <td className="px-3 py-1.5 text-[var(--tk-dim)]">{r.modelId}</td> + <td className="px-3 py-1.5 text-right tabular-nums text-[var(--tk-fg)]"> + {r.tokens.toLocaleString()} + </td> + <td className="px-3 py-1.5 text-right tabular-nums text-[var(--tk-fg)]"> + {formatCost(r.cost)} + </td> + <td className="px-3 py-1.5 text-[10.5px] text-[var(--tk-dim)]"> + {r.note} + </td> + </tr> + ))} + </tbody> + </table> + </div> + </div> + ); + })} + </div> + )} + + <p className="text-[11px] text-[var(--tk-dim)]"> + Note: vision token estimators are heuristic. Real provider counts can drift slightly. For + exact numbers, send the image through the provider's countTokens endpoint. + </p> + </section> + ); +}; diff --git a/tsconfig.json b/tsconfig.json index 56e15a0..58ea3c9 100644 --- a/tsconfig.json +++ b/tsconfig.json @@ -1,4 +1,8 @@ { "files": [], - "references": [{ "path": "./packages/core" }, { "path": "./packages/cli" }] + "references": [ + { "path": "./packages/core" }, + { "path": "./packages/cli" }, + { "path": "./packages/vscode" } + ] }