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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.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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