I like this idea. This might be one of the more effective social pressures available for getting inference providers to fix long-standing issues. AWS Bedrock, for example, has crippling defects in its serving stack for Kimi’s K2 and K2.5 models that cause 20%-30% of attempts to emit tool calls to instead silently end the conversation (with no token output). That makes AWS effectively irrelevant as a serious inference provider for Kimi, and conveniently pushes users onto Bedrock’s significantly more expensive Anthropic models for comparable performance on agentic tasks.