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azender1 avatar

SafeAgent

azender1/safeagent
6STDIOregistry active
Summary

This is an exactly-once execution guard that prevents AI agents from firing duplicate tool calls when Claude retries after errors or crashes. It exposes a /claim endpoint that returns PROCEED on the first call for a given request_id and SKIP on any repeat, blocking double charges, duplicate emails, or repeated orders. The server runs on Railway with pay-per-call pricing via x402 ($0.001 per claim), plus a free /claim/test endpoint for integration testing. Also includes a local SQLite guard you can embed directly in Python agents. The repo shows a real trading bot that prevented duplicate buy orders across 23 executions using stable keys derived from symbol, side, quantity, and bar timestamp. Useful when you're building agents that interact with payment APIs, email services, webhooks, or any broker where firing the same action twice causes real problems.

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SafeAgent — Execution Guard for AI Agents

Mycelium Provider

POST /claim · safeagent-production.up.railway.app
Dashboard: safeagent-dashboard-2.vercel.app

# Claim an action — free, no payment header required
curl -s -X POST https://safeagent-production.up.railway.app/claim \
  -H "Content-Type: application/json" \
  -d '{"request_id":"order:TQQQ:buy:6:2026-05-19T13:31:00-04:00","action":"order"}'
# → {"status":"PROCEED","request_id":"..."}

# Settle after the action fires
curl -s -X POST https://safeagent-production.up.railway.app/settle/order:TQQQ:buy:6:2026-05-19T13:31:00-04:00 \
  -H "Content-Type: application/json" \
  -d '{"result":{"status":"completed"}}'
# → {"status":"committed","request_id":"..."}

# Retry with the same request_id — returns SKIP
curl -s -X POST https://safeagent-production.up.railway.app/claim \
  -H "Content-Type: application/json" \
  -d '{"request_id":"order:TQQQ:buy:6:2026-05-19T13:31:00-04:00","action":"order"}'
# → {"status":"SKIP","request_id":"...","existing":{...}}

# Free test endpoint — same logic, limited to 10 calls per IP
curl -s -X POST https://safeagent-production.up.railway.app/claim/test \
  -H "Content-Type: application/json" \
  -d '{"agent_id":"bot-1","action_type":"order","scope":"TQQQ:buy:bar:2026-05-19T13:31:00-04:00"}'
# → {"status":"PROCEED","request_id":"...","test":true,"calls_remaining":9}

Indexed on Bazaar.

Measured CrewAI retry A/B

A credential-free experiment exercises CrewAI 1.15.21's actual same-process `ToolUsage._use` retry against SafeAgent 0.1.23. Across 30 post-effect/pre-confirmation trials, the unguarded path recorded two effects per logical action; the SafeAgent path recorded one effect and retained a `PENDING` claim for reconciliation.

Scope: scripted deterministic LLM and harmless effect recorded through an out-of-process capability-separated ledger. This does not validate process death, fresh-worker recovery, a real external provider, or SafeAgent Control reconciliation.

Method, source, tests, hashes, and 180-trial evidence

SafeAgent Control founding pilots

Two bounded, read-only reconciliation pilots are open for outside operators. There is no fee unless SafeAgent Control identifies a previously unknown, reproducible discrepancy that the operator agrees is actionable.

Scope and outcome-based terms



Mycelium Trails

This implementation is a Mycelium Provider. Each completed action submits a trail to ARGENTUM with a content-addressed action_ref (JCS+SHA-256 over the four preimage fields). The returned mycelium_trail_id is included in every receipt for independent verification.


Verified on Soma

SafeAgent is the first verified external integrator on Soma — the Mycelium agent catalog. Every production execution is anchored on-chain via Mycelium Trails and independently verifiable without going through the operator.

  • Integrator badge — verified external client running Mycelium Trails in production
  • Live trails — https://argentum-api.rgiskard.xyz/dashboard/trails?client=safeagent-prod
  • Public audit — any auditor can verify SafeAgent executions independently

What it does

SafeAgent is a durable execution-claim guard. It suppresses concurrent and repeated attempts that use the same stable request_id, and preserves unresolved attempts for reconciliation instead of silently retrying them.

Every action gets a stable request_id derived from the logical action. A new key returns PROCEED; a settled key returns SKIP with its stored result. A key left PENDING after a timeout or crash remains blocked because local state alone cannot prove whether the provider accepted the action. Recover it only after checking provider evidence or using provider-native idempotency.

State machine: CLAIMABLE → PENDING → COMMITTED; later claims observe PENDING or SKIP.

Common failure modes SafeAgent prevents:

ScenarioWithout SafeAgentWith SafeAgent
Stripe charge times out after acceptanceRetry may charge twiceSame key remains PENDING until provider reconciliation
Welcome email on signup retriedUser gets two welcome emailsSecond send returns SKIP
Webhook delivered twice (Stripe/GitHub/Twilio guarantee at-least-once)Event processed twiceSecond processing returns SKIP
Workspace provisioned on retryTwo workspaces createdSecond provision returns SKIP
AI agent tool call retried after crashDuplicate side effectSame key stays blocked; outcome is explicitly unresolved

Guarantee boundary: SafeAgent proves local claim state, not the external outcome. COMMITTED means the caller settled a receipt. PENDING means unresolved—not failed and not confirmed successful. End-to-end exactly-once effects require provider-native idempotency and/or reconciliation with the provider's authoritative records.


The stack

SafeAgent is the durable claim and duplicate-suppression layer in an agent execution integrity stack:

Polaris (commit-gated authorization)
└── AgentGraph safety verdict (pre-execution safety gate)
    └── SafeAgent (durable claim guard)  ← you are here
        └── Mycelium Trails (on-chain anchor)

Each layer is independently authored and independently verifiable. None trusts the others.


API

POST /claim

Gate an action. Returns PROCEED on first call, SKIP on any repeat.

Request body:

{
  "request_id": "order:TQQQ:buy:6:2026-05-19T13:31:00-04:00",
  "action": "order"
}
  • request_id — stable identifier derived from what the agent is doing. Same inputs = same key.
  • action — the action type being gated (e.g. payment.send, email, trade, order)

Response:

{ "status": "PROCEED", "request_id": "order:TQQQ:buy:6:2026-05-19T13:31:00-04:00" }

Retry with the same payload:

{ "status": "SKIP", "request_id": "order:TQQQ:buy:6:2026-05-19T13:31:00-04:00", "existing": {...} }

POST /settle/{request_id}

Settle a claim after the action fires. Advances status from PENDING to COMMITTED.

curl -s -X POST https://safeagent-production.up.railway.app/settle/order:TQQQ:buy:6:2026-05-19T13:31:00-04:00 \
  -H "Content-Type: application/json" \
  -d '{"result":{"status":"completed","txid":"abc123"}}'
{ "status": "committed", "request_id": "..." }

POST /claim/test

Free test endpoint — same logic, no payment required. Limited to 10 calls per IP total.

curl -s -X POST https://safeagent-production.up.railway.app/claim/test \
  -H "Content-Type: application/json" \
  -d '{"agent_id":"bot-1","action_type":"order","scope":"TQQQ:buy:6:bar:2026-05-19T13:31:00-04:00"}'
{ "status": "PROCEED", "request_id": "...", "test": true, "calls_remaining": 9 }

GET /audit

Full claim history. Filter by agent_id, action, status, or timestamp range.

curl "https://safeagent-production.up.railway.app/audit?agent_id=bot-1&status=COMMITTED"
{"items": [...], "total": 5, "limit": 100, "offset": 0}

Parameters: agent_id, action, status, from_ts, to_ts, limit (max 1000), offset.


Integration

Python

import requests

def claim(request_id: str, action: str) -> dict:
    r = requests.post(
        "https://safeagent-production.up.railway.app/claim",
        headers={"Content-Type": "application/json"},
        json={"request_id": request_id, "action": action}
    )
    return r.json()  # {"status": "PROCEED"|"SKIP", "request_id": "..."}

def settle(request_id: str, result: dict) -> dict:
    r = requests.post(
        f"https://safeagent-production.up.railway.app/settle/{request_id}",
        headers={"Content-Type": "application/json"},
        json={"result": result}
    )
    return r.json()

# Usage
response = claim("payment:customer-123:invoice-456", "payment.send")
if response["status"] == "PROCEED":
    result = send_payment(...)
    settle("payment:customer-123:invoice-456", {"status": "completed"})
elif response["status"] == "SKIP":
    print("Already executed, skipping")

SaaS (Stripe / email / webhooks)

For production Stripe PaymentIntents, use the permit-gated adapter documented in SafeAgent Boundary. It keeps the Stripe credential outside the agent, passes the consumed permit ID to Stripe as the native idempotency key, persists the provider correlation, verifies webhook signatures and supports authoritative read-back. The simple claim/settle snippet below illustrates the generic API only; it is not the provider adapter.

Run the bounded test-mode example in examples/stripe_payment_intent_guard.py. The verification record documents the observed end-to-end result: one successful Stripe sandbox PaymentIntent, an exact replay blocked before provider dispatch, and authoritative reconciliation by retrieve.

import requests

def safe_stripe_charge(customer_id, amount, idempotency_key):
    request_id = f"stripe:charge:{customer_id}:{idempotency_key}"

    response = requests.post(
        "https://safeagent-production.up.railway.app/claim",
        headers={"Content-Type": "application/json"},
        json={"request_id": request_id, "action": "stripe_charge"}
    ).json()

    if response["status"] == "SKIP":
        return response.get("existing")

    charge = stripe.PaymentIntent.create(
        amount=amount,
        currency="usd",
        customer=customer_id,
        idempotency_key=request_id,
    )
    requests.post(
        f"https://safeagent-production.up.railway.app/settle/{request_id}",
        headers={"Content-Type": "application/json"},
        json={"result": {"charge_id": charge.id}}
    )
    return charge

Webhook deduplication — stable event IDs suppress repeated processing after a settled result; unresolved PENDING events stay blocked for investigation:

def handle_stripe_webhook(event):
    response = requests.post(
        "https://safeagent-production.up.railway.app/claim",
        headers={"Content-Type": "application/json"},
        json={"request_id": event["id"], "action": "stripe_event"}
    ).json()

    if response["status"] == "SKIP":
        return {"ok": True}

    provision_subscription(event)
    requests.post(
        f"https://safeagent-production.up.railway.app/settle/{event['id']}",
        headers={"Content-Type": "application/json"},
        json={"result": {"processed": True}}
    )

CrewAI

from crewai import Agent
import sqlite3

guard_con = sqlite3.connect("safeagent_orders.db", check_same_thread=False)
# ... same guard pattern, keyed on tool_name + input hash + session_id

PR crewAIInc/crewAI#5822 adds pluggable idempotency backends. SafeAgent's SQLite schema is compatible.

WisePick

WisePick is a deterministic routing layer for agent runtimes. The integration splits capability selection from durable, idempotent execution — WisePick answers what and which provider, SafeAgent answers whether this logical work already ran.

Stack:

WisePick /v1/decide → DashClaw → SafeAgent → Mycelium Trails → Base/Arbitrum
  • Adapter: adapters/safeagent_adapter.py
  • Integration docs: docs/integrations/safeagent.md
  • Integration thread: SafeAgent #9

Local guard (embedded SQLite)

The same durable claim behavior without the network call. Drop this into any Python agent:

import sqlite3

_SA_DB = "safeagent_orders.db"
_sa_con = sqlite3.connect(_SA_DB, check_same_thread=False)
_sa_con.execute("""CREATE TABLE IF NOT EXISTS orders (
    request_id TEXT PRIMARY KEY,
    result     TEXT,
    status     TEXT DEFAULT 'PENDING',
    created_at TEXT DEFAULT (datetime('now'))
)""")
_sa_con.commit()

def place_order_with_guard(symbol, qty, side, bar_ts):
    request_id = f"order:{symbol}:{side}:{qty}:{bar_ts}"

    _sa_con.execute(
        "INSERT OR IGNORE INTO orders (request_id, status) VALUES (?, 'PENDING')",
        (request_id,)
    )
    _sa_con.commit()

    row = _sa_con.execute(
        "SELECT status, result FROM orders WHERE request_id = ?",
        (request_id,)
    ).fetchone()

    if row and row[0] == 'COMMITTED':
        print(f"SAFEAGENT SKIP: {request_id}")
        return row[1]

    result = place_order(symbol, qty, side)

    _sa_con.execute(
        "UPDATE orders SET status='COMMITTED', result=? WHERE request_id=?",
        (json.dumps(str(result)), request_id)
    )
    _sa_con.commit()
    return result

Case study: crash-retry duplicate prevention

A trading bot fires a market order to buy 6 shares of TQQQ. The broker accepts it. The bot crashes before updating state. On restart — same signal, same bar — the bot fires again. The broker fills it twice. The agent now holds 12 shares when it intended to hold 6.

This is not theoretical. It happens on any unhandled exception between order submission and state persistence.

SafeAgent derives a stable key before touching the broker:

request_id = "order:TQQQ:buy:6:2026-05-19T13:31:00-04:00"

First call: PROCEED. Side effect fires. Settle writes COMMITTED.
Crash and retry: SKIP. Broker never touched again.


Case study: live duplicate blocking — May 21, 2026

Six confirmed SKIP events from a live session on the full stack: DashClaw, SafeAgent, Mycelium Trails, Base/Arbitrum, broker Alpaca.

  • 0942 ET: duplicate buy TQQQ qty=6 blocked, $452
  • 0947 ET: duplicate add TQQQ qty=6 blocked, $452
  • 0949 ET: duplicate sell TQQQ qty=12 on flip, $902
  • 1000 ET: duplicate entry TQQQ qty=6 blocked, $454
  • 1014 ET: duplicate sell TQQQ qty=18 on V20 flip, $1,350
  • 1106 ET: duplicate SQQQ add during scale-in, $43

Full session data: https://gist.github.com/azender1/b9112b6519c935df4a75cb05cd250e26


Conformance

SafeAgent participates in the A2A cross-implementation conformance corpus. Byte-verified fixtures across four independent implementations:

  • kenneives (agentgraph) — verifier-attestation-v0: 30/30 ✓
  • evidai (LemonCake) — gated-preflight-v1: 33/33 ✓
  • haroldmalikfrimpong-ops (agentid) — independent verifier ✓
  • SafeAgent — claim-lifecycle conformance v1.1 ✓

A2A #1920 closed. All four implementations satisfy freshness and replay requirements.


Canonical action_ref derivation

JCS (RFC 8785), aligned with argentum-core, Nobulex, and APS:

import hashlib
import rfc8785

def compute_action_ref(
    agent_id: str,
    action_type: str,
    scope: str,
    timestamp: str,  # RFC 3339 UTC, 3-digit ms: "2026-05-15T10:00:00.123Z"
) -> str:
    payload = {
        "agent_id": agent_id,
        "action_type": action_type,
        "scope": scope,
        "timestamp": timestamp,
    }
    canonical = rfc8785.dumps(payload)
    return hashlib.sha256(canonical).hexdigest()

timestamp is an RFC 3339 UTC string with exactly 3 millisecond digits. The trailing Z is mandatory.

Conformance fixtures: giskard09/argentum-core tag action-ref-v1.0


Deployment

Railway · Serverless OFF · always-on
PyPI: pip install safeagent-exec-guard
npm: npm install n8n-nodes-safeagent
MCP Registry: io.github.azender1/safeagent
Dashboard: safeagent-dashboard-2.vercel.app


License

Apache-2.0

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Registryactive
Packagesafeagent-exec-guard
TransportSTDIO
UpdatedApr 26, 2026
View on GitHub