feat(python): usage-estimation bindings in ratel-ai#81
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This was referenced Jun 27, 2026
PyO3 wrappers for estimate_tokens/estimate_cost_usd and registry catalog_tokens()/tokens_for(); ToolCatalog(observe=True) records the full-catalog-vs-top-K saving into last_savings (in-memory only). No rollup wire format — usage/cost telemetry rides ratel-ai-cloud (ADR-0015). Closes RAT-308. Part of RAT-291.
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Part 3 of 3 — surfaces the core usage-estimation maths in the
ratel-aiPython SDK. Stacked on #79.What's here
estimate_tokens/estimate_cost_usdand registrycatalog_tokens()/tokens_for(), exported fromratel_ai.ToolCatalog(observe=True)records the full-catalog-vs-selected-top-K saving on each search intolast_savings— in-memory only, best-effort, never emitted.Retired vs the original PR
The whole
observability/package (the rollup client/exporter that shipped to/api/v1/events) is dropped — usage/cost telemetry rides theratel-ai-cloudADR-0013 event. See ADR-0015.Verified locally
maturin develop✓ ·ruff✓ ·mypy(strict) ✓ ·pytest56/56 ✓ · workspacefmt/clippy -D warnings✓Closes RAT-308. Part of RAT-291.