OpenTelemetry exporter for Kubit analytics.
Project description
kubit-otel
OpenTelemetry exporter for Kubit analytics.
Install
pip install kubit-otel
Quick start
from kubit_otel import configure
from opentelemetry import trace
configure(api_key="rg.v1.xxx", service_name="my-app")
tracer = trace.get_tracer("my-app")
with tracer.start_as_current_span("chat.completion") as span:
span.set_attribute("gen_ai.request.model", "gpt-4o")
span.set_attribute("gen_ai.prompt", "Hello, world!")
span.set_attribute("gen_ai.completion", "Hi there!")
span.set_attribute("gen_ai.usage.input_tokens", 10)
span.set_attribute("gen_ai.usage.output_tokens", 5)
Spans are exported to Kubit with standard OpenTelemetry GenAI semantic
conventions. Root spans become traces, child spans become enriched
observations. gen_ai.* attributes are extracted into dedicated columns
for model name, prompt/completion, token counts, and cost.
Supported attributes
| OpenTelemetry attribute | Purpose |
|---|---|
gen_ai.request.model / gen_ai.response.model |
Model name |
gen_ai.prompt / gen_ai.content.prompt |
Input prompt |
gen_ai.completion / gen_ai.content.completion |
Output completion |
gen_ai.usage.input_tokens |
Input token count |
gen_ai.usage.output_tokens |
Output token count |
gen_ai.usage.cost |
Total cost (USD) |
session.id |
Conversation session id |
enduser.id |
End-user id |
Python compatibility
Python 3.9+
License
Proprietary — see LICENSE.
Project details
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