humanagent 0.1.0

Human checkpoint infrastructure for AI workflows

HumanAgent Python SDK

Human checkpoint infrastructure for AI workflows. When your AI agent needs judgment, trust, or a licensed signature — HumanAgent routes it.

Install

pip install humanagent

Quick start

from humanagent import HumanAgent

client = HumanAgent(api_key="ha_live_...")

# Create a checkpoint and wait for result
result = client.checkpoint(
    task="Review NDA for compliance gaps",
    credential="bar_licensed:US",
    sla="30min",
    budget=25.00
)

if result["status"] == "completed":
    print(result["result"]["approved"])   # True/False
    print(result["result"]["notes"])      # Reviewer's notes
    print(result["audit_hash"])           # SHA-256 tamper-evident hash

# Fire and forget (use webhook)
created = client.checkpoint(
    task="Pick best 3 ad creatives",
    credential="general",
    sla="1hr",
    budget=5.00,
    callback_url="https://my-agent.com/webhook",
    wait=False
)
print(created["checkpoint_id"])

API

HumanAgent(api_key, base_url=None, timeout=30)

Initialize the client.

.checkpoint(task, credential, sla, budget, ...wait=True)

Create a checkpoint. If wait=True, polls until result. If wait=False, returns immediately.

.create_checkpoint(task, credential, sla, budget, ...)

Create without waiting.

.get_checkpoint(checkpoint_id)

Poll status.

More info

• Website: https://humanagent.net
• Docs: https://humanagent.net/docs (coming soon)
• Part of the AgentEazy ecosystem