verica-observability 0.1.4

Two-line LLM tracing for Verica: init(token) and your OpenAI/Anthropic calls land as evaluable traces.

verica-observability

Two-line LLM tracing for Verica: your OpenAI/Anthropic calls land as evaluable traces.

Install

pip install verica-observability

Use

import verica

verica.init(token=os.environ["VERICA_TOKEN"])

# Import the clients AFTER init so they are patched. OpenAI, Anthropic, and
# Gemini (the google-genai SDK) are all auto-traced, no extra code.
from openai import OpenAI
from anthropic import Anthropic
from google import genai

Serverless

Call verica.flush() (or verica.shutdown()) before the runtime freezes so the span batch is exported.

Options

Option / env var	Default	Notes
token / VERICA_TOKEN	(required)	ingest-scoped API token
capture_content / VERICA_CAPTURE_CONTENT	true	send prompt/response content
conversation_id	(none)	stamps gen_ai.conversation.id
service_name / OTEL_SERVICE_NAME	app	resource service.name
debug / VERICA_DEBUG	false	log export errors

Fail-open by design: if Verica is unreachable or the token is invalid, spans are dropped and your app is never affected. Export errors are silent unless debug is on.