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  "text": "Long-running agents shouldn’t pay frontier-model prices for every turn.\nWe‘ve been quietly building our agent with content-aware model routing, memory consolidation, and adaptive token compression. Today, it goes public as OpenSquilla — an open-source Python agent.\nPublic benchmark: up to 60%-80% lower model cost on mixed long-running tasks.\nOpen source. Local first. Python based.\nhttps://t.co/aWLGOqfIRD\n\nDon’t take our word for it — Verify the savings yourself.\n#10M Token Bill Challenge:\npost side-by-side bills vs. any agent (the best performing models).\n30 winners × 10M OpenRouter credits each,\n\nThree categories:\n🥇 10 Faithful Reproduction ·\n💰 10 Best Savings Case ·\n🐛 10 Quality Bug Report\n#10MTokenChallenge",
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