feat: scaffold meshnet monorepo

packages/contracts/meshnet_contracts/__init__.py

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+"""meshnet_contracts — Solana smart contract wrappers for the Distributed Inference Network."""
+
+__version__ = "0.1.0"

packages/contracts/pyproject.toml

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+[build-system]
+requires = ["setuptools>=64"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "meshnet-contracts"
+version = "0.1.0"
+description = "Distributed Inference Network Solana smart contract wrappers"
+requires-python = ">=3.10"
+
+[tool.setuptools.packages.find]
+where = ["."]
+include = ["meshnet_contracts*"]

packages/gateway/meshnet_gateway/__init__.py

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+"""meshnet_gateway — Distributed Inference Network HTTP gateway."""
+
+__version__ = "0.1.0"

packages/gateway/meshnet_gateway/cli.py

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+"""meshnet-gateway CLI entry point."""
+
+import argparse
+import sys
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(
+        prog="meshnet-gateway",
+        description="Distributed Inference Network HTTP gateway",
+    )
+    subparsers = parser.add_subparsers(dest="command")
+
+    start_cmd = subparsers.add_parser("start", help="Start the gateway server")
+    start_cmd.add_argument("--tracker", default="http://localhost:8080", help="Tracker URL")
+    start_cmd.add_argument(
+        "--node-url",
+        default="http://localhost:7000",
+        help="Node URL to route to until tracker routing is implemented",
+    )
+    start_cmd.add_argument("--port", type=int, default=8080, help="Port to listen on")
+
+    args = parser.parse_args()
+
+    if args.command == "start":
+        from meshnet_gateway.server import GatewayServer
+
+        gateway = GatewayServer(node_url=args.node_url, port=args.port)
+        port = gateway.start()
+        print(f"meshnet-gateway listening on port {port}")
+        print(f"Tracker URL: {args.tracker}")
+        print(f"Routing to node URL: {args.node_url}")
+        try:
+            import time
+            while True:
+                time.sleep(1)
+        except KeyboardInterrupt:
+            gateway.stop()
+            sys.exit(0)
+    else:
+        parser.print_help()
+
+
+if __name__ == "__main__":
+    main()

packages/gateway/meshnet_gateway/server.py

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+"""Gateway HTTP server — accepts OpenAI-format requests and routes to inference nodes."""
+
+import http.server
+import json
+import threading
+import time
+import urllib.request
+
+
+class _GatewayHandler(http.server.BaseHTTPRequestHandler):
+    def log_message(self, fmt, *args):  # noqa: suppress request logs in tests
+        pass
+
+    def do_POST(self):
+        if self.path == "/v1/chat/completions":
+            self._handle_chat_completions()
+        else:
+            self.send_response(404)
+            self.end_headers()
+
+    def _handle_chat_completions(self):
+        length = int(self.headers.get("Content-Length", 0))
+        body = json.loads(self.rfile.read(length))
+
+        node_url = self.server.node_url  # type: ignore[attr-defined]
+        payload = json.dumps({"messages": body.get("messages", [])}).encode()
+        req = urllib.request.Request(
+            f"{node_url}/v1/infer",
+            data=payload,
+            headers={"Content-Type": "application/json"},
+            method="POST",
+        )
+        with urllib.request.urlopen(req) as r:
+            node_resp = json.loads(r.read())
+
+        response_body = json.dumps({
+            "id": "chatcmpl-stub",
+            "object": "chat.completion",
+            "created": int(time.time()),
+            "model": body.get("model", "stub-model"),
+            "choices": [{
+                "index": 0,
+                "message": {
+                    "role": "assistant",
+                    "content": node_resp["text"],
+                },
+                "finish_reason": "stop",
+            }],
+            "usage": {
+                "prompt_tokens": 0,
+                "completion_tokens": 0,
+                "total_tokens": 0,
+            },
+        }).encode()
+
+        self.send_response(200)
+        self.send_header("Content-Type", "application/json")
+        self.send_header("Content-Length", str(len(response_body)))
+        self.end_headers()
+        self.wfile.write(response_body)
+
+
+class _GatewayHTTPServer(http.server.HTTPServer):
+    def __init__(self, addr, handler, node_url: str):
+        super().__init__(addr, handler)
+        self.node_url = node_url
+
+
+class GatewayServer:
+    """HTTP gateway that forwards /v1/chat/completions to a registered node."""
+
+    def __init__(self, node_url: str, host: str = "127.0.0.1", port: int = 0):
+        self._node_url = node_url
+        self._host = host
+        self._requested_port = port
+        self._server: _GatewayHTTPServer | None = None
+        self._thread: threading.Thread | None = None
+        self.port: int | None = None
+
+    def start(self) -> int:
+        if self._server is not None:
+            raise RuntimeError("GatewayServer is already running")
+
+        self._server = _GatewayHTTPServer(
+            (self._host, self._requested_port),
+            _GatewayHandler,
+            self._node_url,
+        )
+        self.port = self._server.server_address[1]
+        self._thread = threading.Thread(target=self._server.serve_forever, daemon=True)
+        self._thread.start()
+        return self.port
+
+    def stop(self) -> None:
+        if self._server is None:
+            return
+
+        self._server.shutdown()
+        self._server.server_close()
+        if self._thread is not None:
+            self._thread.join(timeout=1)
+        self._server = None
+        self._thread = None
+        self.port = None

packages/gateway/pyproject.toml

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+[build-system]
+requires = ["setuptools>=64"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "meshnet-gateway"
+version = "0.1.0"
+description = "Distributed Inference Network HTTP gateway"
+requires-python = ">=3.10"
+
+[project.scripts]
+meshnet-gateway = "meshnet_gateway.cli:main"
+
+[tool.setuptools.packages.find]
+where = ["."]
+include = ["meshnet_gateway*"]

packages/node/meshnet_node/__init__.py

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+"""meshnet_node — Distributed Inference Network node client."""
+
+__version__ = "0.1.0"

packages/node/meshnet_node/cli.py

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+"""meshnet-node CLI entry point."""
+
+import argparse
+import sys
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(
+        prog="meshnet-node",
+        description="Distributed Inference Network node client",
+    )
+    subparsers = parser.add_subparsers(dest="command")
+
+    start_cmd = subparsers.add_parser("start", help="Start the node server")
+    start_cmd.add_argument("--tracker", default="http://localhost:8080", help="Tracker URL")
+    start_cmd.add_argument("--port", type=int, default=7000, help="Port to listen on")
+
+    args = parser.parse_args()
+
+    if args.command == "start":
+        from meshnet_node.server import StubNodeServer
+
+        node = StubNodeServer(port=args.port)
+        port = node.start()
+        print(f"meshnet-node listening on port {port}")
+        print(f"Tracker URL: {args.tracker}")
+        try:
+            import time
+            while True:
+                time.sleep(1)
+        except KeyboardInterrupt:
+            node.stop()
+            sys.exit(0)
+    else:
+        parser.print_help()
+
+
+if __name__ == "__main__":
+    main()

packages/node/meshnet_node/server.py

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+"""Stub node HTTP server for the Distributed Inference Network."""
+
+import http.server
+import json
+import threading
+
+
+class _StubHandler(http.server.BaseHTTPRequestHandler):
+    def log_message(self, fmt, *args):  # noqa: suppress request logs in tests
+        pass
+
+    def do_POST(self):
+        if self.path == "/v1/infer":
+            length = int(self.headers.get("Content-Length", 0))
+            body = json.loads(self.rfile.read(length))
+            messages = body.get("messages", [])
+            last_content = messages[-1]["content"] if messages else ""
+            payload = json.dumps({"text": f"stub response to: {last_content}"}).encode()
+            self.send_response(200)
+            self.send_header("Content-Type", "application/json")
+            self.send_header("Content-Length", str(len(payload)))
+            self.end_headers()
+            self.wfile.write(payload)
+        else:
+            self.send_response(404)
+            self.end_headers()
+
+
+class StubNodeServer:
+    """Single-process stub node that returns fixed inference responses."""
+
+    def __init__(self, host: str = "127.0.0.1", port: int = 0):
+        self._host = host
+        self._requested_port = port
+        self._server: http.server.HTTPServer | None = None
+        self._thread: threading.Thread | None = None
+        self.port: int | None = None
+
+    def start(self) -> int:
+        if self._server is not None:
+            raise RuntimeError("StubNodeServer is already running")
+
+        self._server = http.server.HTTPServer((self._host, self._requested_port), _StubHandler)
+        self.port = self._server.server_address[1]
+        self._thread = threading.Thread(target=self._server.serve_forever, daemon=True)
+        self._thread.start()
+        return self.port
+
+    def stop(self) -> None:
+        if self._server is None:
+            return
+
+        self._server.shutdown()
+        self._server.server_close()
+        if self._thread is not None:
+            self._thread.join(timeout=1)
+        self._server = None
+        self._thread = None
+        self.port = None

packages/node/pyproject.toml

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+[build-system]
+requires = ["setuptools>=64"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "meshnet-node"
+version = "0.1.0"
+description = "Distributed Inference Network node client"
+requires-python = ">=3.10"
+
+[project.scripts]
+meshnet-node = "meshnet_node.cli:main"
+
+[tool.setuptools.packages.find]
+where = ["."]
+include = ["meshnet_node*"]

packages/p2p/meshnet_p2p/__init__.py

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+"""meshnet_p2p — Gossip protocol and shard swarm for the Distributed Inference Network."""
+
+__version__ = "0.1.0"

packages/p2p/pyproject.toml

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+[build-system]
+requires = ["setuptools>=64"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "meshnet-p2p"
+version = "0.1.0"
+description = "Distributed Inference Network gossip and shard swarm"
+requires-python = ">=3.10"
+
+[tool.setuptools.packages.find]
+where = ["."]
+include = ["meshnet_p2p*"]

packages/sdk/meshnet/__init__.py

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+"""meshnet — Distributed Inference Network Python SDK."""
+
+__version__ = "0.1.0"

packages/sdk/pyproject.toml

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+[build-system]
+requires = ["setuptools>=64"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "meshnet"
+version = "0.1.0"
+description = "Distributed Inference Network Python SDK"
+requires-python = ">=3.10"
+
+[tool.setuptools.packages.find]
+where = ["."]
+include = ["meshnet*"]

packages/tracker/meshnet_tracker/__init__.py

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+"""meshnet_tracker — Distributed Inference Network node registry and route selection."""
+
+__version__ = "0.1.0"

packages/tracker/meshnet_tracker/cli.py

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+"""meshnet-tracker CLI entry point."""
+
+import argparse
+import sys
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(
+        prog="meshnet-tracker",
+        description="Distributed Inference Network node registry and route selection",
+    )
+    subparsers = parser.add_subparsers(dest="command")
+
+    start_cmd = subparsers.add_parser("start", help="Start the tracker server")
+    start_cmd.add_argument("--port", type=int, default=8080, help="Port to listen on")
+
+    args = parser.parse_args()
+
+    if args.command == "start":
+        print(f"meshnet-tracker starting on port {args.port}")
+        try:
+            import time
+            while True:
+                time.sleep(1)
+        except KeyboardInterrupt:
+            sys.exit(0)
+    else:
+        parser.print_help()
+
+
+if __name__ == "__main__":
+    main()

packages/tracker/pyproject.toml

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+[build-system]
+requires = ["setuptools>=64"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "meshnet-tracker"
+version = "0.1.0"
+description = "Distributed Inference Network node registry and route selection"
+requires-python = ">=3.10"
+
+[project.scripts]
+meshnet-tracker = "meshnet_tracker.cli:main"
+
+[tool.setuptools.packages.find]
+where = ["."]
+include = ["meshnet_tracker*"]