46 lines
3.1 KiB
Python
Executable File
46 lines
3.1 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Fake OpenAI-compatible endpoint to exercise the LLM proxy path without a real key.
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Round 1 asks for a search tool; round 2 returns show_cards with ids from the tool results."""
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import json, re, sys
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from http.server import ThreadingHTTPServer, BaseHTTPRequestHandler
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PORT = int(sys.argv[1]) if len(sys.argv) > 1 else 8798
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SEEN = {"auth_ok": 0}
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class H(BaseHTTPRequestHandler):
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def log_message(self, *a): pass
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def do_GET(self):
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b = json.dumps(SEEN).encode(); self.send_response(200); self.end_headers(); self.wfile.write(b)
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def do_POST(self):
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body = json.loads(self.rfile.read(int(self.headers["Content-Length"])))
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if body.get("model") in ("busy-model", "busy-model-2"):
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b = b'{"error":{"message":"rate-limited upstream","code":429}}'
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self.send_response(429); self.send_header("Content-Type", "application/json"); self.end_headers(); self.wfile.write(b)
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return
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if self.headers.get("Authorization") == "Bearer test-dummy-key":
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SEEN["auth_ok"] += 1
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if body.get("model") == "daily-model":
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b = json.dumps({"error": {"message": "Rate limit exceeded: free-models-per-day.", "code": 429,
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"metadata": {"headers": {"X-RateLimit-Limit": "50", "X-RateLimit-Remaining": "0", "X-RateLimit-Reset": "4102444800000"}}}}).encode()
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self.send_response(429); self.send_header("Content-Type", "application/json"); self.end_headers(); self.wfile.write(b)
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return
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last = body["messages"][-1]["content"]
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if "background" in last:
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out = {"reply": "Done! Sunset gradient applied (lst_deadbeef).", "actions": [{"type": "set_theme", "payload": {
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"background": {"kind": "gradient", "colors": ["#ff7e5f", "#feb47b", "javascript:alert(1)"], "angle": 180},
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"palette": {"accent": "orange"}, "customCss": "@import url(https://evil.example/x.css); .card{border-width:3px;position:fixed}",
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"copy": {"headline": "<img src=x onerror=alert(1)>Sunset"}}}]}
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b = json.dumps({"choices": [{"message": {"role": "assistant", "content": json.dumps(out)}}]}).encode()
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self.send_response(200); self.send_header("Content-Type", "application/json"); self.end_headers(); self.wfile.write(b)
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return
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if last.startswith("TOOL_RESULTS"):
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ids = re.findall(r'"id": "(lst_[a-f0-9]+)"', last)[:3]
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out = {"reply": "Here are bikes I found (mock LLM). Payments are TEST MODE ONLY.",
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"actions": [{"type": "show_cards", "payload": {"heading": "Bikes", "listing_ids": ids}},
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{"type": "not_allowed_component", "payload": {}}]}
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else:
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out = {"reply": "searching", "tools": [{"name": "search", "args": {"q": "bike"}}]}
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b = json.dumps({"choices": [{"message": {"role": "assistant", "content": json.dumps(out)}}]}).encode()
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self.send_response(200); self.send_header("Content-Type", "application/json"); self.end_headers(); self.wfile.write(b)
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ThreadingHTTPServer(("127.0.0.1", PORT), H).serve_forever()
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