This release is a pre-release and may not be stable for production use.
Verdict Python SDK
PyPI distribution: cognifity-verdict. Python import: verdict.
The Verdict Python SDK. Auto-instruments your LLM calls via wrapt and
captures them into a vendor-neutral Trace schema (attribute names follow
the OpenTelemetry GenAI semantic conventions, but no OTel spans are emitted).
Traces are written to SQLite by default (or any Storage adapter). Content
capture (prompts/completions) is off by default — opt in with
capture_content=True; when enabled, captured content is run through built-in
regex + Luhn PII redaction before it is stored.
sample_rate controls the fraction of supported calls retained, and
buffered_writes=True moves persistence to a background batched writer. Stored
costs are best-effort estimates from Verdict's dated static base-price table;
unknown models remain unpriced, and the values are not billing truth.
import verdict
from anthropic import Anthropic
verdict.init(service_name="my-app", storage="sqlite:///./verdict.db")
client = Anthropic()
# Use Anthropic normally — supported SDK calls are captured.
See the repository README for the full picture, the architecture decisions, and the examples.
Apache 2.0.
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