Access 100+ AI models with intelligent routing, build powerful agents, and optimize costs—all through a single, unified interface.
Join the BetaAccess, orchestrate, and optimize all AI models and agents through a single platform
Our proprietary algorithm automatically selects the optimal model based on your preferences for accuracy, cost, and speed—reducing AI costs by up to 70%.
Compare model performance across standardized benchmarks to make data-driven decisions. Build your own benchmarks and test models.
Monitor usage, costs, and performance across all your AI models in one centralized interface. Track smart router savings and performance.
Build powerful AI agents that can use any model or combine multiple frameworks through one unified interface. Get specialized agents for various tasks.
Governance, compliance controls, and single sign-on for organizations with multiple AI users. Simplify billing and maintain control across teams.
Browse our marketplace of specialized agents for different industries and tasks. See which models and agents other developers are using.
Access any AI model through one unified interface
from omnilabs import OmniClient # Initialize the client with your API key client = OmniClient("sk_omni_c81e728d9d4c2f636f067f89cc14862c") # Access any model through one unified API response = client.chat.completions.create( model="gpt-4o", # Can use any supported model messages=[ {"role": "user", "content": "Explain quantum computing"} ] ) # Smart Router - Let OmniRouter choose the best model smart_response = client.chat.completions.create( model="auto", # Automatic model selection routing_preferences={ "accuracy": 0.7, # Prioritize accuracy "cost": 0.2, # Some cost consideration "speed": 0.1 # Less focus on speed }, messages=[ {"role": "user", "content": "Explain quantum computing"} ] ) # Access model-specific details and savings print(f"Selected model: smart_response.model") print(f"Cost savings: smart_response.cost_savings")
Monitor your AI usage, optimize costs, and gain insights across all models and agents
Quantum computing leverages the weird rules of quantum physics to solve problems in new ways. Here's a simple explanation:
In classical computers (what you use daily), information is processed as bits—either 0 or a 1. Like a light switch, it's either off or on.
Quantum computers use quantum bits or "qubits." The key differences are:
Let me explain quantum computing in simple terms:
Regular computers (like your phone or laptop) process information using bits, which are like tiny switches that can be either ON (1) or OFF (0). Every calculation, image, video, or text is ultimately processed using combinations of these binary states.
Quantum computers work with something called qubits, which follow the strange rules of quantum physics. Qubits have two key special properties:
1. Superposition: While regular bits must be either 0 OR 1, qubits can exist in a state that's effectively 0 AND 1 at the same time.
Discover and deploy powerful AI agents for your specific needs
Be among the first to access OmniLabs AI's unified platform. Help shape the future of AI infrastructure and get early access to our revolutionary tools.
Help shape the future of OmniLabs AI by providing feedback and suggesting new features.
Share your suggestions, report bugs, request features, or ask questions on our community feedback board. View what others have posted and vote on ideas that matter to you.
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See which features we're working on and what's coming next
Our initial beta release focuses on providing core OmniRouter functionality with essential features.
Our next major release will focus on agent orchestration capabilities.
This release will focus on advanced benchmarking and enterprise-grade features.
Our long-term roadmap focuses on advanced AI orchestration capabilities.
We're building OmniLabs AI based on developer feedback. Let us know what features you need!