Deterministic execution guard for AI agents: request-id dedup + finality gating + durable state.
Project description
SafeAgent
Exactly-once execution guard for AI agent side effects.
SafeAgent prevents duplicate, replayed, or premature irreversible actions triggered by LLM-based agents.
It provides:
- request-id (nonce) deduplication
- deterministic state transitions
- exactly-once execution semantics
- durable state persistence with SQLite
SafeAgent sits between an agent decision and the irreversible side effect.
Typical protected actions include:
- emails
- payments
- tickets
- trades
Install
pip install safeagent-exec-guard
Requires Python 3.10+.
Why SafeAgent
AI agents frequently retry tool calls when:
- APIs time out
- orchestration layers restart
- network calls fail
- workflows replay events
Without protection, this can cause duplicate side effects such as repeated emails, payouts, tickets, or trades.
SafeAgent ensures irreversible actions run exactly once for a given request_id.
Exactly-once Tool Execution
from safeagent_exec_guard import SettlementRequestRegistry
registry = SettlementRequestRegistry()
def send_email(payload):
print("SENDING EMAIL to", payload["to"])
receipt = registry.execute(
request_id="email:C123:invoice",
action="send_email",
payload={"to": "c123@example.com"},
execute_fn=send_email,
)
print(receipt)
If the same request_id is replayed, SafeAgent returns the original receipt instead of executing the side effect again.
OpenAI-style Tool Example
from safeagent_exec_guard import SettlementRequestRegistry
registry = SettlementRequestRegistry()
def send_email(payload):
print("REAL SIDE EFFECT: sending email to", payload["to"])
receipt = registry.execute(
request_id="email:user123:invoice",
action="send_email",
payload={
"to": "user123@example.com",
"template": "invoice_reminder",
},
execute_fn=send_email,
)
print(receipt)
Example output:
FIRST CALL
REAL SIDE EFFECT: sending email to user123@example.com
SECOND CALL WITH SAME request_id
dedup_same_request_id
same execution_id returned
LangChain-style Tool Example
from safeagent_exec_guard import SettlementRequestRegistry
registry = SettlementRequestRegistry()
def send_email(payload):
print("REAL SIDE EFFECT: LangChain email to", payload["to"])
return {"status": "sent", "to": payload["to"]}
def safe_langchain_tool(request_id, payload):
return registry.execute(
request_id=request_id,
action="send_email",
payload=payload,
execute_fn=send_email,
)
print(safe_langchain_tool("langchain_email_1", {"to": "user@example.com"}))
print(safe_langchain_tool("langchain_email_1", {"to": "user@example.com"}))
SafeAgent ensures retries do not execute the side effect twice.
CrewAI-style Tool Example
from safeagent_exec_guard import SettlementRequestRegistry
registry = SettlementRequestRegistry()
def crew_send_email(payload):
print("REAL SIDE EFFECT: CrewAI email to", payload["to"])
return {"status": "sent", "to": payload["to"]}
def crew_safe_action(request_id, payload):
return registry.execute(
request_id=request_id,
action="send_email",
payload=payload,
execute_fn=crew_send_email,
)
print(crew_safe_action("crew_email_1", {"to": "crew@example.com"}))
print(crew_safe_action("crew_email_1", {"to": "crew@example.com"}))
CrewAI agents can retry actions safely because SafeAgent deduplicates execution.
Agent Retry Demo
Simulate an AI agent retrying a payment action:
python examples/agent_retry_demo.py
The customer is charged only once even if the agent retries.
State Machine
SafeAgent enforces deterministic finality:
OPEN
→ RESOLVED_PROVISIONAL
→ IN_RECONCILIATION
→ FINAL
→ SETTLED
Properties:
- ambiguous signals enter reconciliation
- execution allowed only in
FINAL - replay-safe execution
- late signals ignored after finality
Demos
Duplicate execution prevention:
python examples/safe_agent_demo.py
AI outcome simulation:
python examples/simulate_ai.py
Persistence demo:
python examples/persist_demo.py
OpenAI tool example:
python examples/openai_tool_safeagent.py
LangChain example:
python examples/langchain_safeagent.py
CrewAI example:
python examples/crewai_safeagent.py
Project Structure
models.py
state_machine.py
reconciliation.py
gate.py
store.py
policy.py
settlement_requests.py
examples/
safe_agent_demo.py
simulate_ai.py
persist_demo.py
nonce_demo.py
openai_tool_safeagent.py
langchain_safeagent.py
crewai_safeagent.py
License
Apache-2.0
Project details
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