litellmOpen-source AI gateway: call 100+ LLM providers in OpenAI format via a Python SDK or self-hosted proxy — with cost tracking, virtual keys, guardrails, load balancing and logging.
Why switchBoth sit between your app and 100+ LLM providers as a self-hosted gateway; LiteLLM is the lighter Python proxy for provider unification and cost control, Plano adds agent orchestration, guardrail filter chains and signals on an Envoy data plane.
Full comparison → routerWeave's Go model router: drop-in proxy speaking Anthropic, OpenAI and Gemini APIs that scores each request with an on-box ONNX embedder (Avengers-Pro clusters) and routes to the cheapest fit model.
Why switchBoth are AI-native proxies doing smart per-request model routing; plano is Envoy-based with a 4B routing model, weave uses a tiny ONNX embedder in-process for sub-50ms decisions.
Full comparison → semantic-routervLLM's programmable decision layer: one endpoint for your agent harness that selects or combines models per call by policy — quality, latency, cost, location — across local and cloud backends.
Why switchBoth sit between agents and models with learned routing and guardrail chains; plano is an Envoy-based proxy with a 4B routing model, SR a vLLM-native decision layer with its own routing models.
Full comparison → agentfieldOpen-source control plane that runs AI agents as microservices: write plain Python/Go/TS functions, get REST endpoints with routing, queues, retries, memory and tracing — one laptop to 10k agents.
Why switchSame 'production infrastructure layer for agents' job from opposite ends: agentfield is a control plane that wraps your functions in routing/queues/retries, Plano is a data-plane proxy your unmodified HTTP agents sit behind.
Full comparison → GuardrailsNVIDIA's programmable guardrails for LLM apps: input, output, dialog and retrieval rails defined in Colang, wrapping any model or LangChain runnable.
Why switchTwo places to enforce guardrails: NeMo Guardrails runs Colang rails in-process around a model or chain, Plano enforces moderation/jailbreak filters at the proxy so every agent inherits them without code changes.
Full comparison → LLMRouterUIUC's LLM routing library: 16+ trainable routers (KNN, MLP, matrix factorisation, Elo, graph, BERT) pick the best model per query, with xRouteBench and a train/serve CLI.
Why switchBoth route each request to the right LLM. Plano bakes a 4B routing model into an Envoy proxy you deploy; LLMRouter is the library of routing methods you train on your own data and serve yourself.
Full comparison → agentic-apiRust gateway that gives vLLM a stateful, OpenAI-compatible Responses API: server-side conversation state, server-side tool loops, SSE and WebSocket streaming, background runs — Codex-ready.
Why switchBoth move agentic logic out of the client and into a proxy. Plano is an Envoy-based proxy with routing and orchestration across models; agentic-api is a Responses-API server bound to vLLM. Cross-model proxy vs stateful API for one engine.
Full comparison → mcp-context-forgeIBM's registry + proxy federating MCP, A2A and REST/gRPC into one governed endpoint: discovery, auth, rate limits, guardrails, OTel tracing, 40+ plugins — scales to K8s with Redis federation.
Why switchOverlapping ambition, different layer: Plano is an Envoy data plane routing LLM traffic with guardrails; ContextForge is a registry/proxy governing tool and agent endpoints.
Full comparison →