asiflow-hyper

Python client for the Hyper Agent API: delegate a software objective to Hyper, run and verify the work, read the evidence. Thin and honest: every method is one documented REST call (https://api.hyper.asiflow.ai/openapi.json); errors are the API's RFC 9457 problems.

from asiflow_hyper import HyperClient, device_login

token = device_login(client_name="my-agent", scope="objectives:read objectives:write runs:write evidence:read deploy:verify offline_access")
hyper = HyperClient(token=token.access_token)

job = hyper.create_objective(name="Bakery site", objective="A one-page site for Nour's bakery with a contact form.")
job = hyper.wait_job(job["id"])
run = hyper.start_run(job["result"]["project_id"], policy={"budget_cap_usd": 10})
run = hyper.wait_run(run["result"]["run_id"], on_needs_you=lambda card: "approved")
for attempt in run["attempts"]:
    if attempt["status"] == "verified":
        print(hyper.attempt_evidence(attempt["id"]))

The agent-interop-e2e lane runs this client against production on every Hyper deploy.