payment_orchestrator

vryahn/payment_orchestrator
★ 0 stars Python AI/LLM Updated today
Payment routing engine: route by empirical approval evidence (Wilson LB), retry by error class, cost_bias knob; LLM only at the edges (decline normalizer with evals) + MCP server. Live demo + API on Vercel.
View on GitHub → 🔍 Audit Wallet Slippage →

Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "payment_orchestrator": {
      "command": "uvx",
      "args": [
        "payment-orchestrator"
      ]
    }
  }
}

Or install with pip: pip install payment-orchestrator

README Excerpt

**Evidence in the hot path, AI at the edges.** Given a card authorization about to be sent, it decides which payment service provider should receive it — on empirical approval evidence, at a fee tolerance the operator states in real units. If the attempt declines, a state machine keyed on the decline's error class decides what happens next: same PSP later,

Topics

fastapifintechllm-evalsmcppayment-orchestrationpaymentsvercel