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Teams bring provider relationships and use AFK for orchestration, visibility, durability, and governance.
Use case · BYOK model routing
BYOK model routing for coding agents.
AFK is not an inference reseller. Bring your own provider keys, subscriptions, private endpoints, local models, or OpenAI-compatible infrastructure while keeping the same session memory, approvals, tools, and team dashboards.
• Configure Anthropic, OpenAI, Gemini, Azure OpenAI, subscriptions, and compatible providers.
• Use local endpoints such as Ollama, LM Studio, vLLM, or private hardware clusters through daemon binding.
• Keep manual model entry available when provider discovery is incomplete.
• Route sessions through the provider connection that fits cost, latency, privacy, or capability needs.
Local and private endpoints
Connect compatible model servers from the daemon machine so localhost and private network routes resolve where the code runs.
Provider-agnostic operations
Keep the same browser command center, approvals, tools, and memory while changing the underlying model connection.
Engineering teams rarely standardize on one model forever. Security, cost, privacy, latency, context windows, and model quality all change. AFK keeps the operational layer separate from the inference layer.
That separation matters for companies that want autonomous coding workflows without handing model routing to another reseller. AFK provides the harness around the agent loop while teams keep control of credentials and provider choice.
Related searches: BYOK AI coding agent platform, bring your own key coding agents, local model coding agents, OpenAI compatible coding agent platform, private model developer agents