agentshield-pythonv2

AgentShield Python SDK

Python SDK for AgentShield — a spend-control firewall for autonomous AI agents. Wrap every payment your agent makes with policy enforcement, fraud detection, and human-in-the-loop review.

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Installation

pip install agentshield

Requires Python 3.11+.

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Concepts

Every spend request your agent makes is evaluated across three layers:

The result is one of three verdicts:

• SAFE — auto-approved, budget committed
• SUSPICIOUS — routed to a human reviewer (HITL), agent must wait
• MALICIOUS — hard blocked, do not retry

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Authentication

AgentShield uses HMAC-signed requests. Every call is signed with your agent_id and hmac_secret — the SDK handles this automatically.

You get these credentials when you create an agent:

from agentshield import AgentShieldAdmin, AgentCreateRequest

admin = AgentShieldAdmin(bearer_token="your-auth0-token")
agent = admin.create_agent(AgentCreateRequest(
    agent_name="my-buying-agent",
    daily_spend_limit_usd=500,
    per_transaction_limit_usd=100,
    auto_approve_under_usd=20,
    asset_type="FIAT",
))

print(agent.agent_id)    # agt_...
print(agent.hmac_secret) # sk_live_...

Store both securely — you pass them to every client instantiation.

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Quick Start

from agentshield import AgentShield, SpendRequest

client = AgentShield(
    agent_id="agt_...",
    hmac_secret="sk_live_...",
    base_url="https://your-agentshield-instance.com",
)

result = client.spend_request(SpendRequest(
    agent_id="agt_...",
    declared_goal="Book a flight from JFK to LAX for the team offsite",
    amount_cents=25000,
    currency="USD",
    vendor_url_or_name="delta.com",
    item_description="Economy seat JFK-LAX, Oct 12",
    asset_type="FIAT",
))

if result.approved:
    print(f"Approved: ${result.approved_amount_cents / 100:.2f}")
elif result.pending_hitl:
    print(f"Waiting for human review — poll {result.request_id}")
elif result.blocked:
    print(f"Blocked: {result.reasons}")

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Sync Client

AgentShield(agent_id, hmac_secret, *, base_url, timeout)

The primary client for agent-level operations. Use as a context manager or call .close() when done.

with AgentShield("agt_...", "sk_live_...") as client:
    ...

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spend_request(request: SpendRequest) → SpendResponse

Submit a payment for evaluation.

from agentshield import SpendRequest

result = client.spend_request(SpendRequest(
    agent_id="agt_...",
    declared_goal="Pay monthly invoice for cloud hosting",
    amount_cents=9900,
    currency="USD",
    vendor_url_or_name="aws.amazon.com",
    item_description="EC2 compute — November invoice",
    asset_type="FIAT",
    idempotency_key="invoice-nov-2024",  # optional, auto-generated if omitted
))

SpendRequest fields:

SpendResponse fields:

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get_spend_status(request_id: str) → SpendStatusResponse

Poll for the outcome of a PENDING_HITL request.

status = client.get_spend_status("req_abc123")

if status.resolved:
    print(f"Decision: {status.decision}")  # "APPROVE" or "DENY"
else:
    print(f"Still waiting, expires at {status.expires_at}")

Polling pattern:

import time

result = client.spend_request(...)
if result.pending_hitl:
    while True:
        status = client.get_spend_status(result.request_id)
        if status.resolved:
            break
        time.sleep(10)

Or use agent_callback_url on the spend request to receive a webhook instead of polling.

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resolve_hitl(request_id: str, request: HitlResolveRequest) → HitlResolveResponse

Programmatically approve or deny a pending HITL request (e.g. from a custom dashboard).

from agentshield import HitlResolveRequest

result = client.resolve_hitl(
    "req_abc123",
    HitlResolveRequest(
        decision="APPROVE",          # or "DENY"
        resolver_id="ops-team",
        channel="dashboard",
        resolution_note="Verified with finance team",
    ),
)
print(result.resolved_at)

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rotate_hmac() → AgentRotateHmacResponse

Rotate your HMAC secret. The client automatically updates its internal secret after rotation.

rotated = client.rotate_hmac()
print(rotated.hmac_secret)  # store this — the old secret is now invalid

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get_stats() → DashboardStats

Today's transaction summary for this agent.

stats = client.get_stats()
print(f"Auto-approved: {stats.auto_approved}")
print(f"Blocked: {stats.blocked}")
print(f"Pending review: {stats.pending_approval}")

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get_activity(limit=100) → list[ActivityEntry]

Full audit log of recent transactions, newest first.

activity = client.get_activity(limit=50)
for entry in activity:
    print(f"{entry.created_at} | {entry.verdict} | ${entry.amount_cents / 100:.2f} | {entry.vendor_url_or_name}")

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get_notifications(status="OPEN", limit=50) → list[Notification]

Dashboard notifications for pending HITL items.

notifications = client.get_notifications(status="OPEN")
for n in notifications:
    print(f"[{n.priority}] {n.summary}")

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Async Client

AsyncAgentShield and AsyncAgentShieldAdmin mirror the sync API exactly — every method is a coroutine. Use with async with and await.

from agentshield import AsyncAgentShield, SpendRequest

async def run():
    async with AsyncAgentShield("agt_...", "sk_live_...") as client:
        result = await client.spend_request(SpendRequest(
            agent_id="agt_...",
            declared_goal="Pay for API usage",
            amount_cents=200,
            currency="USD",
            vendor_url_or_name="openweather.com",
            item_description="Weather API call",
            asset_type="FIAT",
        ))
        print(result.verdict)

All methods available on AsyncAgentShield:

• await client.spend_request(...)
• await client.get_spend_status(...)
• await client.resolve_hitl(...)
• await client.rotate_hmac()
• await client.get_stats()
• await client.get_activity(...)
• await client.get_notifications(...)

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Stablecoin Payments

When asset_type="STABLECOIN", three additional fields are required:

result = client.spend_request(SpendRequest(
    agent_id="agt_...",
    declared_goal="Pay contractor invoice in USDC",
    amount_cents=50000,
    currency="USD",
    vendor_url_or_name="contractor.eth",
    item_description="Design work — November",
    asset_type="STABLECOIN",
    stablecoin_symbol="USDC",
    network="base",
    destination_address="0x742d35Cc6634C0532925a3b8D4C9A6b52E7A1f1",
))

Supported tokens: USDC, USDT, USDC.e, USDC.b

Supported networks: ethereum, base, solana, polygon, arbitrum, tempo

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Error Handling

from agentshield import (
    AgentShieldError,
    AgentShieldAPIError,
    AgentShieldAuthError,
    AgentShieldBlockedError,
)

try:
    result = client.spend_request(...)
except AgentShieldBlockedError as e:
    print(f"Hard blocked: {e.block_code}")
    print(f"Reasons: {e.reasons}")
    # do not retry
except AgentShieldAuthError as e:
    print(f"Auth failed ({e.status_code}): {e.detail}")
except AgentShieldAPIError as e:
    print(f"API error ({e.status_code}): {e.detail}")
except AgentShieldError as e:
    print(f"SDK error: {e}")

PENDING_HITL (202) is not an exception — it is a normal SpendResponse with result.pending_hitl == True.

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Admin Client

AgentShieldAdmin (and AsyncAgentShieldAdmin) use Bearer token auth for user-level operations.

from agentshield import AgentShieldAdmin, AgentCreateRequest

with AgentShieldAdmin(bearer_token="your-token") as admin:
    # Create an agent
    agent = admin.create_agent(AgentCreateRequest(
        agent_name="research-agent",
        daily_spend_limit_usd=200,
        per_transaction_limit_usd=50,
        auto_approve_under_usd=10,
        asset_type="FIAT",
        blocked_vendors=["gambling.com"],
        allowed_networks=["base"],
        allowed_tokens=["USDC"],
    ))

    # List all agents
    agents = admin.list_agents()
    for a in agents:
        print(f"{a.agent_id} — {a.display_name} ({a.status})")

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Development

git clone https://github.com/your-org/agentshield-python
cd agentshield-python
uv venv && uv pip install -e ".[dev]"
pytest

To run against a local AgentShield server:

client = AgentShield("agt_...", "sk_live_...", base_url="http://localhost:8000")

In dev mode the server accepts local-dev-key as a bypass — useful for manual smoke tests but never use in production.