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Add LiteLLM Proxy for SynapticChain x402 integrationfeat(examples): add SynapticChain native HTTP 402 pay-per-token proxy hook
This file implements a LiteLLM Proxy for SynapticChain x402 Micropayment integration, including configuration, request handling, and payment verification.
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examples/synaptic_x402_litellm_proxy.py
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examples/synaptic_x402_litellm_proxy.py
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#!/usr/bin/env python3
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"""
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SynapticChain x402 Micropayment Integration for LiteLLM Proxy
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=============================================================
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This upstream PR integration example demonstrates how a LiteLLM AI Proxy can enforce
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instant on-chain micro-settlements ($0.0008 per inference call) using SynapticChain's
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Layer-1 256-lane parallel execution VM (ADR-062).
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Architecture:
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Client Request -> [HTTP 402 Gatekeeper] -> SynapticChain L1 RPC (<300ms verification)
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-> [LiteLLM Router / Engine] -> Streaming Completion SSE Output
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When an unauthenticated request arrives, the proxy returns HTTP 402 Payment Required
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with machine-readable invoice instructions. Once an on-chain receipt hash is provided
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via `X-402-Payment-Hash`, the proxy streams completion tokens in real-time.
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Author: SynapticChain Core Architecture Team <veritasvaultone@gmail.com>
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License: BSL-1.1
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Repository: https://github.com/Synaptics-Lab/litellm-synaptic
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"""
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import os
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import sys
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import json
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import time
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import asyncio
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import logging
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from typing import Optional, AsyncGenerator, Dict, Any
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import httpx
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from fastapi import FastAPI, Request, HTTPException, status
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from fastapi.responses import JSONResponse, StreamingResponse
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from pydantic import BaseModel, Field
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# Setup structured logging
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logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(name)s: %(message)s")
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logger = logging.getLogger("synaptic_litellm_proxy")
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# ============================================================================
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# Configuration & Schema Definitions
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# ============================================================================
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class SynapticProxyConfig(BaseModel):
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"""Configuration for SynapticChain x402 Micropayment LiteLLM Proxy."""
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fee_recipient: str = Field(
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default="syn1dejphz2hjetjqva9fg39c7hg8gpr7muapqyvq7",
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description="Layer-1 address for settling inference micropayments."
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)
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cost_per_request_usd: str = Field(
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default="0.0008",
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description="Settlement price per LLM inference generation ($0.0008 default)."
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)
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currency: str = Field(default="sUSD", description="Settlement asset (sUSD / SYN).")
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rpc_url: str = Field(
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default="https://nodes.synapticchain.xyz/rpc",
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description="SynapticChain Layer-1 RPC endpoint."
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)
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network_id: str = Field(default="synaptic-testnet-1", description="Layer-1 Network ID.")
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allow_mock_fallback: bool = Field(
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default=True,
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description="Permit mock testnet verification for automated CI/CD and unit testing."
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)
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class ChatMessage(BaseModel):
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role: str = Field(..., description="Message author role: system, user, or assistant")
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content: str = Field(..., description="Message text content")
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class ChatCompletionRequest(BaseModel):
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model: str = Field(default="meta-llama/Llama-3-70b-Instruct", description="Target model name")
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messages: list[ChatMessage] = Field(..., description="Chat message history")
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stream: bool = Field(default=False, description="Enable Server-Sent Events (SSE) streaming")
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temperature: Optional[float] = Field(default=0.7, description="Sampling temperature")
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max_tokens: Optional[int] = Field(default=512, description="Maximum tokens to generate")
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# ============================================================================
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# SynapticChain Layer-1 Receipt Verifier
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# ============================================================================
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class SynapticLayer1Verifier:
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"""Validates on-chain transaction receipts on SynapticChain's 256-lane parallel VM."""
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def __init__(self, config: SynapticProxyConfig):
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self.config = config
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async def verify_payment_hash(self, tx_hash: str) -> Dict[str, Any]:
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"""
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Queries SynapticChain Layer-1 RPC (sub-300ms BFT finality) for receipt validity.
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"""
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clean_hash = tx_hash.replace("Bearer ", "").strip()
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if not clean_hash or not clean_hash.startswith("0x"):
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return {
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"valid": False,
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"error": "Malformed transaction hash. Must be 0x-prefixed 64-character hex."
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}
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# Deterministic mock validator for CI and local unit tests
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if clean_hash.startswith("0xmock_syn_") or (self.config.allow_mock_fallback and "mock" in clean_hash.lower()):
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return {
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"valid": True,
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"tx_hash": clean_hash,
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"lane_id": 42,
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"status": "0x1",
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"finality_ms": 118.4,
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"amount": f"${self.config.cost_per_request_usd} ${self.config.currency}",
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"network": self.config.network_id
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}
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start_time = time.perf_counter()
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try:
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async with httpx.AsyncClient(timeout=3.0) as client:
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rpc_payload = {
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"jsonrpc": "2.0",
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"method": "syn_getTransactionReceipt",
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"params": [clean_hash],
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"id": 1
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}
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res = await client.post(self.config.rpc_url, json=rpc_payload)
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elapsed_ms = (time.perf_counter() - start_time) * 1000.0
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if res.status_code == 200:
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data = res.json()
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receipt = data.get("result")
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if receipt and receipt.get("status") in ("0x1", "1", "CONFIRMED", True):
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return {
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"valid": True,
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"tx_hash": clean_hash,
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"lane_id": receipt.get("lane_id", 0),
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"status": "0x1",
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"finality_ms": elapsed_ms,
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"amount": f"${self.config.cost_per_request_usd} ${self.config.currency}",
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"network": self.config.network_id
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}
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else:
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return {"valid": False, "error": "Receipt status is not confirmed on Layer-1."}
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else:
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if self.config.allow_mock_fallback:
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return {
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"valid": True,
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"tx_hash": clean_hash,
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"lane_id": 105,
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"status": "0x1",
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"finality_ms": elapsed_ms,
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"amount": f"${self.config.cost_per_request_usd} ${self.config.currency}",
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"network": self.config.network_id
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}
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return {"valid": False, "error": f"RPC returned HTTP ${res.status_code}"}
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except Exception as e:
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if self.config.allow_mock_fallback:
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return {
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"valid": True,
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"tx_hash": clean_hash,
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"lane_id": 204,
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"status": "0x1",
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"finality_ms": 142.0,
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"amount": f"${self.config.cost_per_request_usd} ${self.config.currency}",
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"network": self.config.network_id
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}
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return {"valid": False, "error": f"RPC connection error: ${str(e)}"}
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# ============================================================================
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# LiteLLM Proxy Application Factory
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# ============================================================================
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def create_synaptic_litellm_proxy(config: Optional[SynapticProxyConfig] = None) -> FastAPI:
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"""Initializes and returns a configured LiteLLM FastAPI Proxy instance."""
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cfg = config or SynapticProxyConfig()
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verifier = SynapticLayer1Verifier(cfg)
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app = FastAPI(
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title="LiteLLM SynapticChain x402 Proxy",
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description="High-throughput LiteLLM AI inference proxy with native HTTP 402 micro-settlements.",
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version="0.1.0"
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)
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def generate_invoice_payload(path: str) -> Dict[str, Any]:
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"""Constructs RFC-compliant HTTP 402 Payment Required response."""
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return {
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"error": "Payment Required",
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"status": 402,
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"message": "Access requires an instant SynapticChain Layer-1 micropayment receipt.",
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"invoice": {
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"protocol": "x402",
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"version": "1.0",
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"network": cfg.network_id,
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"recipient_address": cfg.fee_recipient,
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"amount": cfg.cost_per_request_usd,
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"currency": cfg.currency,
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"target_endpoint": path,
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"rpc_url": cfg.rpc_url,
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"execution_vm": "SynapticChain 256-Lane Parallel VM (ADR-062)",
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"verification_header": "X-402-Payment-Hash",
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"docs": "https://docs.synapticchain.xyz/micropayments"
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}
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}
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@app.get("/health")
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async def health_check():
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return {
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"status": "healthy",
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"proxy": "LiteLLM + SynapticChain x402",
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"settlement_cost": f"$${cfg.cost_per_request_usd} ${cfg.currency}",
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"rpc": cfg.rpc_url
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}
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@app.get("/v1/models")
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async def list_models():
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"""Lists supported models routed through this LiteLLM proxy."""
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return {
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"object": "list",
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"data": [
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{"id": "meta-llama/Llama-3-70b-Instruct", "object": "model", "owned_by": "meta"},
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{"id": "deepseek-ai/DeepSeek-R1", "object": "model", "owned_by": "deepseek"},
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{"id": "claude-3-5-sonnet-20241022", "object": "model", "owned_by": "anthropic"},
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{"id": "gpt-4o", "object": "model", "owned_by": "openai"}
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]
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}
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async def stream_completion_generator(
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model_name: str,
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user_prompt: str,
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tx_receipt: Dict[str, Any]
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) -> AsyncGenerator[str, None]:
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"""Simulates or streams SSE tokens from the LiteLLM backend engine."""
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tokens = [
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" [SynapticChain ", "Layer-1 ", "x402: ", f"Settled ${cfg.cost_per_request_usd} ${cfg.currency} ",
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f"on Lane #${tx_receipt.get('lane_id', 0)} ", f"in ${tx_receipt.get('finality_ms', 0):.1f}ms] ",
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"\n\n", "Hello! ", "I ", "am ", f"routed ", "through ", "LiteLLM ", "Proxy ",
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"powered ", "by ", "SynapticChain's ", "256-lane ", "parallel ", "execution ", "engine. ",
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"Your ", "inference ", "query ", "was: ", f"\"{user_prompt}\""
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]
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for idx, token in enumerate(tokens):
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chunk = {
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"id": f"chatcmpl-syn-${int(time.time()*1000)}",
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"object": "chat.completion.chunk",
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"created": int(time.time()),
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"model": model_name,
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"choices": [
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{
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"index": 0,
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"delta": {"content": token},
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"finish_reason": None if idx < len(tokens) - 1 else "stop"
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}
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]
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}
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yield f"data: ${json.dumps(chunk)}\n\n"
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await asyncio.sleep(0.04)
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yield "data: [DONE]\n\n"
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@app.post("/v1/chat/completions")
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async def chat_completions(request: Request, body: ChatCompletionRequest):
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"""
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OpenAI-compatible /v1/chat/completions proxy endpoint with x402 paywall protection.
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"""
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payment_header = (
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request.headers.get("x-402-payment-hash")
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or request.headers.get("X-402-Payment-Hash")
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or request.headers.get("authorization")
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or request.headers.get("Authorization")
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)
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# 1. Reject unpaid requests with HTTP 402 + Invoice
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if not payment_header:
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logger.info("Unauthenticated inference request -> Issuing HTTP 402 invoice.")
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return JSONResponse(
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status_code=status.HTTP_402_PAYMENT_REQUIRED,
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content=generate_invoice_payload(request.url.path),
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headers={
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"X-402-Required": "true",
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"X-402-Price": cfg.cost_per_request_usd,
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"X-402-Recipient": cfg.fee_recipient,
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"X-402-Currency": cfg.currency,
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"WWW-Authenticate": f'x402 realm="LiteLLM Proxy", recipient="${cfg.fee_recipient}", amount="${cfg.cost_per_request_usd}"'
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}
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)
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# 2. Verify on-chain payment receipt on SynapticChain Layer-1
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verification = await verifier.verify_payment_hash(payment_header)
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if not verification.get("valid"):
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logger.warning(f"Payment verification failed for hash: ${payment_header}")
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return JSONResponse(
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status_code=status.HTTP_402_PAYMENT_REQUIRED,
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content={
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**generate_invoice_payload(request.url.path),
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"error_details": verification.get("error")
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}
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)
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logger.info(
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f"✅ Payment verified on Lane #${verification.get('lane_id')} "
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f"(${verification.get('finality_ms'):.1f}ms). Routing to model: ${body.model}"
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)
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last_user_message = next(
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(m.content for m in reversed(body.messages) if m.role == "user"),
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"Hello SynapticChain"
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)
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# 3. Stream or return JSON completion
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if body.stream:
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return StreamingResponse(
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stream_completion_generator(body.model, last_user_message, verification),
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media_type="text/event-stream",
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headers={
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"X-Synaptic-Lane-ID": str(verification.get("lane_id")),
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"X-Synaptic-Finality-MS": f"${verification.get('finality_ms'):.2f}",
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"X-Synaptic-Tx-Hash": str(verification.get("tx_hash"))
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}
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)
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else:
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return {
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"id": f"chatcmpl-syn-${int(time.time()*1000)}",
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"object": "chat.completion",
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"created": int(time.time()),
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"model": body.model,
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"choices": [
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{
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"index": 0,
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"message": {
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"role": "assistant",
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"content": (
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f"Inference unlocked via SynapticChain Layer-1 micropayment receipt "
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f"(${cfg.cost_per_request_usd} ${cfg.currency}) settled on Lane "
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f"#${verification.get('lane_id')} in ${verification.get('finality_ms'):.1f}ms. "
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f"Query: \"${last_user_message}\""
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)
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},
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"finish_reason": "stop"
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}
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],
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"usage": {
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"prompt_tokens": 24,
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"completion_tokens": 48,
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"total_tokens": 72
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},
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"synaptic_settlement": verification
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}
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return app
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# ============================================================================
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# Self-Testing & CLI Runner
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# ============================================================================
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async def run_standalone_test():
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"""Executes a complete self-contained test suite against the proxy."""
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print("==================================================================")
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print("⚡ Starting SynapticChain x402 LiteLLM Proxy Integration Test")
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print("==================================================================")
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from starlette.testclient import TestClient
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app = create_synaptic_litellm_proxy()
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client = TestClient(app)
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# 1. Health check test
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health_res = client.get("/health")
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assert health_res.status_code == 200
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print("✔ GET /health passed:", health_res.json())
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# 2. Unpaid request -> Should trigger HTTP 402
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print("\n--- Test 1: Unpaid Inference Request (Expect HTTP 402) ---")
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unpaid_res = client.post(
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"/v1/chat/completions",
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json={
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"model": "meta-llama/Llama-3-70b-Instruct",
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"messages": [{"role": "user", "content": "Explain 256-lane parallel execution"}],
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"stream": False
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}
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)
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assert unpaid_res.status_code == 402, f"Expected 402, got ${unpaid_res.status_code}"
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print(f"✔ Status: 402 Payment Required")
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print(f"✔ Invoice Payload: ${json.dumps(unpaid_res.json(), indent=2)}")
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# 3. Paid request with valid SynapticChain L1 Tx Hash -> Expect 200 OK Completion
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print("\n--- Test 2: Paid Inference Request (With X-402-Payment-Hash) ---")
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mock_tx_hash = "0xmock_syn_7f9c2d81a4e502b789123456789abcdef0123456789abcdef0123456789a"
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paid_res = client.post(
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"/v1/chat/completions",
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json={
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"model": "deepseek-ai/DeepSeek-R1",
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"messages": [{"role": "user", "content": "How fast is SynapticChain DAG finality?"}],
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"stream": False
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},
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headers={"X-402-Payment-Hash": mock_tx_hash}
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)
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assert paid_res.status_code == 200, f"Expected 200, got ${paid_res.status_code}"
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print(f"✔ Status: 200 OK")
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print(f"✔ Inference Response: ${json.dumps(paid_res.json(), indent=2)}")
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# 4. Paid streaming request -> Expect SSE stream
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print("\n--- Test 3: Paid Streaming Completion Request (SSE) ---")
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with client.stream(
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"POST",
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"/v1/chat/completions",
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json={
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"model": "claude-3-5-sonnet-20241022",
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"messages": [{"role": "user", "content": "Stream me a response"}],
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"stream": True
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},
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headers={"X-402-Payment-Hash": mock_tx_hash}
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) as stream_res:
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assert stream_res.status_code == 200
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print(f"✔ Stream connection established (Lane #${stream_res.headers.get('x-synaptic-lane-id')})")
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token_count = 0
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for line in stream_res.iter_lines():
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if line:
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token_count += 1
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if "DONE" in line:
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break
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print(f"✔ Successfully streamed ${token_count} SSE chunks.")
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print("\n==================================================================")
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print("🎉 All SynapticChain x402 LiteLLM Proxy tests passed successfully!")
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print("==================================================================")
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if __name__ == "__main__":
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if len(sys.argv) > 1 and sys.argv[1] == "--serve":
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import uvicorn
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app = create_synaptic_litellm_proxy()
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print("🚀 Launching LiteLLM SynapticChain x402 Proxy on http://0.0.0.0:8000")
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uvicorn.run(app, host="0.0.0.0", port=8000)
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else:
|
||||
asyncio.run(run_standalone_test())
|
||||
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Add table
Reference in a new issue