axonhub and tingly-box
These tools are competitors, as both offer an AI intelligence layer or gateway solution for managing multiple LLMs, suggesting a choice between one for API routing, observability, and cost control.
About axonhub
looplj/axonhub
⚡️ Open-source AI Gateway — Use any SDK to call 100+ LLMs. Built-in failover, load balancing, cost control & end-to-end tracing.
Supports transparent SDK translation across 10+ LLM providers through a unified proxy architecture, enabling applications built with OpenAI SDK to seamlessly call Claude, Gemini, or other models. Features thread-aware request tracing for complete observability, fine-grained RBAC with usage quotas, and per-token cost breakdown across input, output, and cache operations. Built in Go with Docker support and includes a web dashboard for channel management, model pricing configuration, and real-time request monitoring.
About tingly-box
tingly-dev/tingly-box
AI Intelligence Layer for Solo Builders and Dev Teams
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