Infermion Python SDK
The official synchronous and asynchronous Python client for Infermion.
from infermion import Infermion
client = Infermion(api_token="...")
for deployment in client.deployments.list():
print(deployment.id, deployment.status)
context = client.run.context(deployment="dep_prod")
response = client.run.chat(
deployment="dep_prod",
model="chat", # served name, not a provider/model ID
prompt="Explain tensor parallelism",
)
# Long-running tasks can be detached without changing deployment/model state.
job = client.run.submit(
deployment="dep_prod",
model="image",
task="image_generation",
input=[{"role": "user", "content": "A nebula"}],
)
The SDK never opens a browser or prompts. Use infermion login from the
native infermion terminal application for interactive authentication.
Infermion and AsyncInfermion expose market/planning, account models,
dedicated deployments and model lifecycle, model-aware run, endpoints, keys,
connections, volumes, billing, jobs, events, extensions, and plugins. Use
InferenceClient/AsyncInferenceClient with a separately scoped endpoint API
key for stable endpoint data-plane calls.
1 maintainer
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