{"id":"gen-1784491805-W1hj7asXXHvL14BvNtEi","object":"chat.completion","created":1784491805,"model":"anthropic/claude-sonnet-5","provider":"Amazon Bedrock","system_fingerprint":null,"service_tier":"default","choices":[{"index":0,"logprobs":null,"finish_reason":"stop","native_finish_reason":"end_turn","message":{"role":"assistant","content":"{\"winner\": \"A\", \"ratio\": \"6:4\", \"explanation\": \"Side A consolidates duplicated room-route parsing logic into shared, validated helpers (room_route_segment/room_id_from_route_segment) used consistently across many endpoints and tests, and adds a substantive, well-tested URL-identity normalization layer (query sorting, YouTube canonicalization) that fixes real duplicate-identity bugs in the ontology system. Side B is a valid, narrower bugfix (Reddit child import wiring and unranked-label rendering) but touches far less surface area and adds less lasting infrastructure than A's DRY refactor plus new normalization module and its 20+ regression tests.\"}","refusal":null,"reasoning":null,"reasoning_details":[{"type":"reasoning.text","signature":"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","format":"anthropic-claude-v1","index":0}]}}],"usage":{"prompt_tokens":26376,"completion_tokens":3576,"total_tokens":29952,"cost":0.088512,"is_byok":false,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":0,"audio_tokens":0,"video_tokens":0},"cost_details":{"upstream_inference_cost":0.088512,"upstream_inference_prompt_cost":0.052752,"upstream_inference_completions_cost":0.03576},"completion_tokens_details":{"reasoning_tokens":0,"image_tokens":0,"audio_tokens":0}}}