llm-failover

🗼 中转塔台 Relay Tower｜Sub2API / New-API 中转站站长运维面板：上游倍率监控与涨价预警、主调故障自动切换、Telegram 手机一键切线、客户用量与利润统计 | Upstream rate monitor & auto-failover console for Sub2API / New-API relay operators

24/7 AI WhatsApp receptionist for local businesses – free SaaS alternative using Meta API + Groq Llama 3.3 → Gemini 2.0 failover. Docker ready.

Typed property operations planning with account-configured model vendor failover.

Typed shipment review service with account routing preference and model-generated exception notes.

A typed shipment brief service with deterministic exception handling and account-configured model failover.

Route payment-risk analysis across model vendors while keeping sensitive actions deterministic.

Fail over between model vendors while coordinating legal matter intake and follow-up.

A typed nonprofit content service with account-configured model vendor failover.

Typed Node service that triages property operations text with OpenAI-compatible failover and a migration checklist.

A typed order-update service that routes customer copy across model vendors.

Route typed checkout and fulfillment updates across model vendors with a small Python service.

A typed creator asset delivery workflow with explicit model failover.

Route appointment notice drafting across model vendors while keeping patient-safety decisions deterministic.

A typed Node service that processes creator releases and routes model work across vendors.

Route typed fulfillment updates across model vendors and index the resulting receipt text.

Route legal matter delivery notes through an OpenAI-compatible model boundary with deadline-aware follow-up.

Route field-service work-order notes through an OpenAI-compatible model endpoint with a deterministic dispatch decision.

Typed TypeScript media delivery flow with embeddings and chat failover.

An autonomous 7-Agent crisis response swarm powered by Gemini 3 Pro & MongoDB MCP. Features a 3-tier LLM failover circuit for zero-hour disaster routing.

🤖 Autonomous AI Software Engineer using a LangGraph state machine to write, execute, and self-debug Python code inside an isolated Docker sandbox with multi-model LLM failover.