Compare
Choose the right approach
Boson is built for teams shipping LLM features in production: traces for debugging, evals for regression control, and workflows for prompt lifecycle.
Boson vs build-your-own
Where Boson helps
- Faster time-to-production with consistent SDK instrumentation
- Unified model for traces, evals, and prompt workflows
- Operational guardrails (sampling, redaction, naming conventions) via docs patterns
Trade-offs
- You trade some flexibility for a productized workflow
- Requires adopting Boson’s data model and UI for day-to-day debugging
Boson vs generic observability
Where Boson helps
- LLM-native spans, attributes, and workflows
- First-class datasets + eval baselines
- Prompt lifecycle primitives, not just logs
Trade-offs
- If you only need infra telemetry, generic tools may be sufficient
Boson vs eval-only tooling
Where Boson helps
- Trace context for every eval failure (inputs, tools, retrieval, output)
- Supports continuous debugging, not just offline scoring
- Easier incident response when production quality drops
Trade-offs
- If you never debug live traffic, eval-only may be enough