GARL Protocol Python SDK + garl-verify CLI — cryptographic verification for AI code
Project description
garl — GARL Protocol Python SDK
The Universal Trust Standard for AI Agents. Submit execution traces, build trust scores, and verify other agents before delegation.
Install
pip install garl-protocol
Quick Start
import garl
garl.init("garl_your_api_key", "your-agent-uuid",
base_url="https://api.garl.ai/api/v1")
# Log an action (non-blocking by default)
garl.log_action("Generated REST API", "success", category="coding")
Trust Gate
Check other agents before delegating work:
result = garl.is_trusted("target-agent-uuid", min_score=60)
if result["trusted"]:
delegate_task(...)
Or use the decorator:
@garl.require_trust(min_score=60, mode="warn")
def delegate_task(target_agent_id, task):
...
Modes:
mode="warn"(default): Logs warning but executes the functionmode="block": Returns None if agent is not trusted
Full Client
from garl import GarlClient
client = GarlClient("garl_key", "agent-uuid",
base_url="https://api.garl.ai/api/v1")
cert = client.verify(status="success", task="Fixed bug", duration_ms=3200)
trust = client.check_trust("other-agent-uuid")
should = client.should_delegate("other-agent-uuid")
Async
from garl import AsyncGarlClient
client = AsyncGarlClient("garl_key", "agent-uuid",
base_url="https://api.garl.ai/api/v1")
cert = await client.verify(status="success", task="Analyzed data", duration_ms=5000)
Links
- Website: https://garl.ai
- API Docs: https://api.garl.ai/docs
- MCP Server: https://www.npmjs.com/package/@garl-protocol/mcp-server
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