KIMI + Agnes: A Real-World Test of Cross-Provider Agent Chain Correctover

A few days ago I had an idea: what if one LLM could orchestrate other LLMs as agents — not just calling them, but verifying that each agent's output was actually correct before passing it to the next? I work on NeuralBridge (an open-source self-healing SDK for LLM pipelines), so I decided to build it and test it with two real providers: KIMI (Moonshot) and Agnes AI . The Core Problem: Failover ≠ Correctover Most API gateways and LLM routers stop at "HTTP 200" — they retry or switch providers, but they never check if the output is actually correct . # What everyone else does: try : result = call_llm ( prompt ) return result # HTTP 200 = success? 🚩 except Exception : result = call_llm_fallback ( prompt ) return result # Still not verified! This is dangerous. A failover from gpt-4o to gpt-4o-mini might silently drop 3 critical fields. A KIMI response that returns "200 OK" might still be missing key entities. Correctover is the idea that switching providers isn't enough — you must verify semantic equivalence after every switch. The Architecture We built a simple DAG-based chain executor with three key capabilities: DAG orchestration — define multi-step workflows where nodes depend on each other Per-node semantic validation — every LLM output is checked against a Contract before passing to the next node Cross-provider Correctover — if validation fails, automatically retry with a different provider from neuralbridge import SelfHealingEngine , ProviderConfig , Contract from neuralbridge.chain import ChainBuilder engine = SelfHealingEngine ( providers = []) engine . add_provider ( ProviderConfig ( name = " moonshot " , base_url = " https://api.moonshot.cn/v1 " , api_key = " ... " , models = [ " moonshot-v1-8k " , " moonshot-v1-32k " ], )) engine . add_provider ( ProviderConfig ( name = " agnes " , base_url = " https://apihub.agnes-ai.com/v1 " , api_key = " ... " , models = [ " agnes-2.0-flash " ], )) chain = ( ChainBuilder ( engine ) . node ( name = " planner " , system = "