beav3r-sdk 2.0.0b5

Python SDK for Beav3r approval and relay flows.

beav3r-sdk

Python SDK for Beav3r action requests, relay approvals, signer registration, and approval submission.

Install

From PyPI

python3 -m pip install beav3r-sdk

From source

cd beav3r-sdk-py
python3 -m pip install -e .

For direct source execution without installing the package, use PYTHONPATH=src.

Environment endpoints:

• Staging: https://staging.server.beav3r.ai
• Production: https://server.beav3r.ai

Quick example

from beav3r_sdk import Beav3r

client = Beav3r(
    base_url="https://staging.server.beav3r.ai",
    agent_id="agent_demo_1",
    api_key="bvr_test_...",
    default_expiry_seconds=180,
)

result = client.guard(
    {
        "actionType": "transfer",
        "payload": {"asset": "USDT", "amount": 5, "destination": "0xlowdemo"},
        "attributes": {"asset": "USDT", "amount": 5, "destination": "0xlowdemo"},
    }
)

print(result)

Execution authorization helpers

The SDK includes execution-gating helpers for fail-closed executors:

• guard_and_wait(..., audience="your-executor") to attach a signed execution authorization artifact on approved/executed outcomes
• mint_execution_authorization({"actionId": "...", "audience": "..."}) to mint directly
• verify_execution_authorization(...) and is_valid_execution_authorization(...) to validate signature, expiry, audience, and actionHash

Where to get verification keys:

• Preferred: configure the execution-authorization private key on the Beav3r server, then fetch public keys from:
  • GET /.well-known/execution-authorization-keys
• Optional fallback: if discovery is unavailable, provide a static map like:
  • {"keyId":"BASE64_PUBLIC_KEY"}
  • Example env override (same format): BEAV3R_EXECUTION_PUBLIC_KEYS={"keyId":"BASE64_PUBLIC_KEY"}

from beav3r_sdk import Beav3r, verify_execution_authorization

public_keys = {
    # Prefer loading from GET /.well-known/execution-authorization-keys
    "kid_1": "<base64-ed25519-public-key>",
}

result = client.guard_and_wait(
    {"actionType": "payments.send_usdt", "payload": {...}, "attributes": {...}},
    audience="payments-executor",
)

artifact = result.get("executionAuthorizationArtifact")
if artifact:
    verify_execution_authorization(
        {
            "artifact": artifact,
            "action": {
                "actionId": "...",
                "agentId": "...",
                "actionType": "payments.send_usdt",
                "payload": {...},
                "attributes": {...},
                "timestamp": 1700000000,
                "nonce": "...",
                "expiry": 1700000300,
            },
            "audience": "payments-executor",
            "publicKeys": public_keys,
        }
    )

Demo

python3 examples/agent_demo.py high
python3 examples/agent_demo.py watch act_high_123

The demo looks for BEAV3R_ENV_FILE first, then nearby .env files in the SDK repo or sibling beav3r-server and beav3r-demo folders. If you use the signing flows, install PyNaCl so device signing works.

Compatibility note

As of the 2026-04-03 security hardening pass:

• reject_approval(...) must send signature and expiry
• device-scoped reads use signed query parameters for:
  • get_action_status_with_options
  • get_action_with_options
  • list_pending_actions
  • list_recent_actions
• /actions/request now requires an API key with actions:relay
• /actions/{actionId}/execution-authorization requires an API key with actions:execute
• /actions/{actionId}/execution-authorization/redeem requires an API key with actions:execute

verify_execution_authorization(...) also accepts an optional usedArtifactIds set so an executor can fail closed on replayed artifacts. For production executors, back that check with durable shared storage instead of process-local memory.

Typical enforced executor flow:

1. call guard_and_wait(...)
2. receive executionAuthorizationArtifact
3. verify the artifact locally
4. call redeem_execution_authorization(...)
5. only execute if redemption succeeds

If the Beav3r server changes auth or approval-signing behavior again, review the sibling integrations in the shared ~/beav3r workspace before release.