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[https://pypi.org/project/openmeter](On PyPI)
Python version: >= 3.9
The Python SDK is in preview mode.
pip install openmeter
The client can be initialized with openmeter.Client()
:
from os import environ
from openmeter import Client
ENDPOINT = environ.get("OPENMETER_ENDPOINT") or "http://localhost:8888"
# it's recommended to also set the Accept header at the client level
client = Client(
endpoint=ENDPOINT,
headers={"Accept": "application/json"},
)
Async client can be initialized by importing the Client
from openmeter.aio
.
Ingest events:
from cloudevents.http import CloudEvent
from cloudevents.conversion import to_dict
event = CloudEvent(
attributes={
"type": "tokens",
"source": "openmeter-python",
"subject": "user-id",
},
data={
"prompt_tokens": 5,
"completion_tokens": 10,
"total_tokens": 15,
"model": "gpt-3.5-turbo",
},
)
resp = client.ingest_events(to_dict(event))
Update version number in pyproject.toml
.
Run the following commands:
poetry config pypi-token.pypi {your_pypi_api_token}
poetry publish --build
FAQs
Client for OpenMeter: Real-Time and Scalable Usage Metering
We found that openmeter demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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