refactor: remove metrics module and sampling configuration#17
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deborahjacob-botanu merged 3 commits intomainfrom Feb 6, 2026
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refactor: remove metrics module and sampling configuration#17deborahjacob-botanu merged 3 commits intomainfrom
deborahjacob-botanu merged 3 commits intomainfrom
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Initial implementation of the Botanu SDK providing run-level cost attribution for AI workflows. Features: - @botanu_use_case decorator for entry point registration - UUIDv7 run_id generation and W3C Baggage propagation - Auto-instrumentation for LLM providers (OpenAI, Anthropic, etc.) - Auto-instrumentation for databases, HTTP clients, frameworks - Kubernetes zero-code deployment via OTel Operator - AttemptLedger for durable cost tracking - 100% trace capture (no sampling) for accurate cost attribution Documentation: - Getting started guide and quickstart - Kubernetes deployment guide for 2000+ services - API reference for decorators and configuration - Best practices and anti-patterns Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> Signed-off-by: Deborah Jacob <deborah@botanu.ai>
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Signed-off-by: deborahjacob-botanu <deborah@botanu.ai>
Supports: - TestPyPI publishing via workflow_dispatch - PyPI publishing on release - OIDC trusted publisher (no tokens needed) Signed-off-by: Claude Opus 4.5 <noreply@anthropic.com> Signed-off-by: Deborah Jacob <deborah@botanu.ai>
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Cost attribution requires 100% trace capture. Removed:
Backend aggregates costs from traces by run_id.
Summary
Changes
Type of change
Testing
pytest)ruff check)mypy)Checklist
git commit -s) per the DCO