
Auriko by the Auriko team offers a single API to switch between LLM models from various providers, reducing inference costs with zero markup and quant-trading grade optimization for faster, cheaper, a
Cost-sensitive production deployments
Route requests to the lowest-cost provider per request while maintaining performance constraints.
Multi-model experimentation
Test and compare models from different providers without managing separate API keys or integrations.
Latency-critical applications
Optimize for time-to-first-token (TTFT) or throughput with configurable constraints like P95 TPS.
Global edge deployment
Serve inference requests through a distributed edge network for low-latency responses worldwide.
Redundancy and failover
Automatically fall back to alternative providers if the primary provider fails, ensuring continuous uptime.
Budget-controlled teams
Set spending limits and alerts at workspace or API key level to keep costs under control.
Unified API
Access every model and provider through one OpenAI-compatible drop-in endpoint, preserving provider-specific features.
Deep cost optimization
Model how your workload interacts with each provider's pricing and prompt-caching mechanics, then route to the lowest-cost provider per request.
Predictive signals
Use real-time signals on provider performance, health, cache behavior, and your usage patterns to drive cost-optimized routing and performance tuning.
Routing strategies
Use built-in defaults or define custom strategies optimized for cost, latency, throughput, or your own objective—with constraints like TTFT, P95 TPS, input cost, and data policy (e.g., ZDR).
Global deployment
Route through a globally distributed edge network with state-of-the-art latency optimization.
Automatic failover
Deliver continuous uptime by backing every request with redundancy across providers.
Key orchestration
Use your own API keys (BYOK), platform keys, or both; maximize key utilization with Auriko's orchestration engine.
Capacity intelligence
Run inference with capacity awareness across providers and keys, and access Auriko's global capacity reserve for on-demand capacity.
Budget controls
Set spending limits and alerts at workspace or API key level, with example budgets shown for Production ($847/$1000), Staging ($124/$200), and Dev ($45/$100).
Ecosystem integrations
Works with OpenAI Agents SDK, Claude Agent SDK, Google ADK, LangChain, Vercel AI SDK, LlamaIndex, CrewAI, Claude Code, Hermes, OpenCode, OpenClaw, and Kilo Code.
base_url to https://api.auriko.ai/v1 and pass your Auriko API key. Optionally, add routing parameters (like optimize: "cost-focus" or max_ttft_ms: 800) in the extra_body of your request. The platform supports Python, TypeScript, and cURL. For detailed setup, read the documentation or request a demo.Auriko by the Auriko team offers a single API to switch between LLM models from various providers, reducing inference costs with zero markup and quant-trading grade optimization for faster, cheaper, a
Category:Aggregation platform
Visit Link:https://www.auriko.ai/
Tags:LLM API、Model Switching、Cost Optimization、Inference Efficiency