agentbelt-sampler
Agent-aware span sampling: always keep errors, cost/latency outliers, retries, and novel calls; sample everything else at a low rate. Part of the agentbelt suite.
pip install agentbelt-sampler
# or, for the real OpenTelemetry Sampler adapter:
pip install agentbelt-sampler[otel]
Quickstart
from agentbelt_sampler import Sampler, SamplingPolicy, Span
sampler = Sampler(SamplingPolicy(boring_sample_rate=0.05))
if sampler.should_keep(Span(tool="search", cost_usd=0.002, is_error=False)):
export(span)
Run python examples/volume_demo.py for a concrete before/after number
(errors and outliers 100% retained, overall volume cut substantially on a
repetitive synthetic stream).
What did this actually catch?
print(sampler.impact_report())
# 100 span(s) seen, 11 kept (89.0% reduction)
The most direct of the three impact reports — seen vs. kept, mapped straight to observability-backend cost reduction.
See the suite README for the
full concept and how this fits with agentbelt-budget and agentbelt-loop.
License
MIT
1 maintainer
Metadata
1 maintainer
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