letsping 0.1.5

Behavioral Firewall and Cryo-Sleep State Parking for AI Agents

LetsPing Python SDK

The official state management infrastructure for Human-in-the-Loop (HITL) AI agents.

LetsPing is a behavioral firewall and governance layer. It provides mathematically secure state-parking (Cryo-Sleep) and execution governance for autonomous agents built on frameworks like LangGraph, CrewAI, and custom architectures.

Features

• The Behavioral Shield: Silently profiles your agent's execution paths via Markov Chains. Automatically intercepts 0-probability reasoning anomalies (hallucinations/prompt injections).
• Cryo-Sleep State Parking: Pauses execution and securely uploads massive agent states directly to storage using Signed URLs, entirely bypassing serverless timeouts and webhook payload limits.
• Smart-Accept Drift Adaptation: Approval decisions mathematically alter the baseline. Old unused reasoning paths decay automatically via Exponential Moving Average (EMA).

Installation

pip install letsping

Configuration

Set your API key as an environment variable (recommended) or pass it directly.

export LETSPING_API_KEY="lp_live_..."

Usage

1. The "Ask" Primitive (Blocking)

Use this when you want to pause a script until a human approves.

from letsping import LetsPing

client = LetsPing()

# Pauses here for up to 24 hours (default)
decision = client.ask(
    service="payments-agent",
    action="transfer_funds",
    payload={
        "amount": 5000,
        "currency": "USD",
        "recipient": "acct_99"
    },
    priority="critical"
)

# Execution resumes only after approval
print(f"Transfer approved by {decision['metadata']['actor_id']}")

2. Async / Non-Blocking (FastAPI/LangGraph)

For high-concurrency environments or event loops.

import asyncio
from letsping import LetsPing

async def main():
async def main():
    client = LetsPing()
    
    # Non-blocking wait, with massive state snapshot
    # The state is AES-GCM encrypted and direct-uploaded to S3, bypassing payloads
    decision = await client.aask(
        service="github-agent",
        action="merge_pr",
        payload={"pr_id": 42},
        timeout=3600, # 1 hour timeout
        state_snapshot=graph.get_state()
    )

asyncio.run(main())

3. LangChain / Agent Integration

LetsPing provides a compliant tool interface that can be injected directly into LLM agent toolkits (LangChain, CrewAI, etc). This allows the LLM to decide when to ask for help.

from letsping import LetsPing

client = LetsPing()

tools = [
    # ... your other tools (search, calculator) ...
    
    # Inject the human as a tool
    client.tool(
        service="research-agent",
        action="review_draft",
        priority="high"
    )
]

Error Handling

The SDK uses typed exceptions for control flow.

• ApprovalRejectedError: Raised when the human explicitly clicks "Reject".
• TimeoutError: Raised when the duration (default 24h) expires without a decision.
• LetsPingError: Base class for API or network failures.

License

MIT