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Orka – Policy checkpoint that intercepts AI agent actions before they execute

Orka launches a policy checkpoint that intercepts AI agent actions before execution, preventing runaway loops, budget overruns, and dangerous operations. The tool provides loop guards, spend caps, human approval gates, and an immutable audit trail, addressing real incidents where agents burned hundreds of dollars or deleted production data.

read4 min views1 publishedJul 17, 2026
Orka – Policy checkpoint that intercepts AI agent actions before they execute
Image: source

Stop your AI agents from burning money on runaway loops — and prove what you saved.

AI agents loop on failed calls and burn tokens, spend money without asking, delete data, and hit APIs with no checkpoint. Orka sits in front of every action: it cuts the runaway loop, caps the spend, blocks the dangerous call, holds risky actions for human approval, and logs everything to a tamper-evident ledger.

Real incidents, not hypotheticals:

  • Teams report agents looping on a failed call and burning hundreds of dollars in tokens over a weekend — with no alert.
  • An OpenAI Operator agent spent $31 on eggs without asking — its own safety check never fired.
  • Replit's coding agent deleted a production database in 9 seconds, during a freeze meant to prevent exactly that.
  • Air Canada was held legally liable for a refund policy its chatbot invented on the spot.

Most teams have no checkpoint between the agent's decision and the expensive — or irreversible — action.

Capability What it does
Loop guard
Detects an agent repeating the same failed action and cuts it before it drains the budget
Spend cap
Hard token/cost limit per run — stops the execution when crossed
Savings ledger
Quantifies, in dollars, the waste it prevented — "Orka saved you $X"
Human approval
Holds high-risk actions for human sign-off before they execute
Immutable audit trail
SHA-256 chained ledger — tamper-evident record of every action and decision
Policy engine
Blocks actions by rule: task type, domain, quota, risk level
Multi-protocol
MCP, A2A, REST, and custom agent protocols
pip install orkaia
python
import orka

orka.init(api_key="orka_...")  # get a key at orka.ia.br

@orka.guard(agent_id="my-agent", task_type="web_search")
def search(query: str) -> str:
    return your_llm.call(query)

result = search("latest quarterly report")

Every execution appears in real time at orka.ia.br/dashboard: input/output, duration, cost, status, risk score, and a searchable audit trail.

Agent  →  Orka  →  Loop guard  →  Spend cap  →  Policy check  →  Risk score  →  [Human approval?]  →  Execute  →  Ledger

The SDK intercepts the call and hands it to the Orka backend. The decision logic (loop detection, budget enforcement, policy evaluation, risk scoring) runs server-side. The ledger is immutable and cryptographically chained.

The reason most teams lose money on agents isn't a single catastrophic event — it's the slow bleed of retry loops, redundant calls, and uncapped sessions.

Orka's economy layer tracks cost per action, detects loops automatically, enforces budget caps, and generates a savings report showing exactly how much it prevented.

@orka.guard(agent_id="analyst", task_type="data_fetch", risk="LIMITED")
def fetch_data(source: str) -> dict:
    return api.get(source)

Layer What it is License
SDKs (python/ , typescript/ )
@guard decorator, REST client, integrations
MIT, this repo
Backend
Policy engine, risk scoring, ledger, approval routing Managed service at orka.ia.br

The SDKs are open source — read them, fork them, audit them. The backend runs the decision logic. A fully local/offline mode is on the roadmap.

Works with any framework. Add one decorator or callback:

LangChain:OrkaCallbackHandler

— every LLM call and chain step logged automaticallyCrewAI / AutoGen: wrap any tool with@orka.guard

OpenAI:OrkaOpenAIAdapter

for function-calling loopsMCP: native MCP support — Orka as a tool server for Claude, Cursor, Windsurf

See python/examples/ and

for ready-to-run code.

python/orka/integrations/

Base URL: https://orka.ia.br/api/v1

Endpoint Method What it does
/agents/
GET / POST List or register agents
/handover
POST Submit an action for Orka to process
/handover/{task_id}
GET Check execution status
/xshield/policies
GET / POST Manage governance policies
/approvals
GET List pending human approvals
/approvals/{id}/approve
POST Approve a pending action
/xledger/entries
GET Query the immutable audit ledger
/xledger/verify
GET Verify chain integrity
/assurance/risk-report
GET Per-agent risk scores
/metrics/dashboard
GET Real-time platform metrics

Auth: X-API-Key

header.

Issues and PRs welcome on the SDKs. The governance backend is closed-source — if you want to discuss architecture, integrations, or the roadmap, open a discussion or reach out.

Built for teams that deploy AI agents and need to stay in control.

** orka.ia.br** · contato@orka.ia.br

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