Individual skill

provider-cost-comparison

Prices your real LangWatch usage mix against other model providers. Exports your actual token mix per model, including the cache read and write split, fetches current price cards, and reprices the same month of usage under each candidate, with the cache sensitivity stated. Use when someone asks whether a cheaper provider or model would actually save money on your workload.

skills/_compiled/native/provider-cost-comparison/SKILL.md

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Nov 10, 2026
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# Price Your Real Usage Mix Against Other Providers

Price-card comparisons lie by omission: a provider that halves the per-token price and lacks cache discounts can cost more on a cache-heavy coding workload. This skill prices the user's own month of usage, with its real input/output/cache mix, under each candidate. It is read-only on the platform. Locally it writes a trace export while it works and deletes it again, and leaves one report file behind.

## Step 1: Set up the LangWatch CLI

Use the `langwatch` CLI for everything: documentation (`langwatch docs ...`, `langwatch scenario-docs ...`) and platform operations (prompts, scenarios, evaluators, datasets, monitors, traces, analytics). Install it once with `npm install -g langwatch`, then run the `langwatch` binary directly; an unpinned `npx langwatch` re-resolves the package from the registry on every run.

Personal coding-agent usage needs `langwatch login --device` on a laptop; a project key in `LANGWATCH_API_KEY` stands in for that login only for its own project. A team or application project needs `--project <slug>` on the read commands, which a project key refuses for any project but its own, so reaching one still needs `langwatch login --device`.

## Step 2: Export the Real Mix

Settle two things before running anything, and hold both for the whole analysis.
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