A single API endpoint for GPT-4o, Claude, Gemini, and any custom model. Policy-based routing, per-key quotas, and real-time telemetry — all in one control plane.
Stop managing multiple provider SDKs, secrets, and billing dashboards. One integration point for your entire AI infrastructure.
One request format for GPT-4o, Claude, Gemini, and custom endpoints. Switch models with a single parameter change.
Policy-based routing by latency, cost, or fallback rules. Auto-failover to backup models when a provider is unavailable.
Per-key quotas, project-level rate limits, and real-time token telemetry. Know exactly what every team spends.
Scoped API keys keep vendor credentials off the client. Rotate upstream keys without touching your app code.
Connect any AI provider through a single, stable interface.
GPT-4o, GPT-4 Turbo, o1, o3, embeddings, DALL·E
Claude 4 Opus, Sonnet, Haiku, Claude 3.5 family
Gemini 2.0, Gemini Flash, Gemma via Vertex AI
Any OpenAI-compatible endpoint — Ollama, Together AI, self-hosted
Point your existing OpenAI SDK at the Gateway URL. Change the model name — everything else stays the same.
import openai client = openai.OpenAI( base_url="https://arkonova.network/gateway/v1", api_key="ark-..." # your Arkonova key ) # Switch models without changing your code response = client.chat.completions.create( model="claude-sonnet-4-6", # or "gpt-4o" messages=[{"role": "user", "content": "Hello"}], stream=True )
Full SSE streaming for all providers. Token-by-token output with a consistent event format across every model.
Define a priority list of models. If the primary is down or rate-limited, the gateway retries the next one automatically.
Issue per-app or per-team keys with model allowlists, spend caps, and IP restrictions — without exposing provider credentials.
Issue an ark- key from the dashboard with your chosen model scope and quota limits.
Set base_url to the Gateway endpoint. Works with OpenAI SDK, LangChain, LiteLLM — no rewrites.
The gateway resolves the model name to a provider, applies routing policy, and forwards with the appropriate credentials.
Per-request latency, token counts, cost estimates, and error rates captured in real time. Export via webhooks or dashboard.
Start with OpenAI + Anthropic and expand to any provider without changing your product architecture.
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