Every AI

Every AI offers a free plan with limited features. Paid plans are available for additional features and capabilities. Available plans include: Free, Pro, Enterprise.

Every AI functions as a central hub, offering a single API endpoint that connects to a multitude of LLM providers like OpenAI, Anthropic, Google, and others. It simplifies the developer experience by handling model routing, caching, rate limiting, and fallback logic automatically. This allows developers to focus on application logic rather than intricate LLM infrastructure management, accelerating development cycles and enabling seamless switching between models.

Key features of Every AI include: Universal LLM API: Connects to multiple leading LLM providers (e.g., OpenAI, Anthropic, Google) through a single, consistent API, simplifying integration and future-proofing applications.. Intelligent Model Routing: Automatically directs requests to the best-performing or most cost-effective LLM based on predefined rules or dynamic optimization, ensuring optimal resource utilization.. Caching & Rate Limiting: Implements caching for frequently requested responses and rate limiting to manage API calls, reducing latency, costs, and preventing service overloads.. Fallback Models: Configures backup LLMs to automatically take over if a primary model becomes unavailable or fails, enhancing application resilience and user experience.. Comprehensive Observability: Provides detailed analytics, logs, and cost tracking for all LLM interactions, offering deep insights into usage patterns, performance, and expenditures.. Cost Optimization: Helps manage and reduce LLM expenses through features like model routing, caching, and detailed cost breakdowns, ensuring efficient resource allocation.. Interactive Playground: Offers a web-based environment for quickly experimenting with different LLMs, prompts, and parameters without writing extensive code, accelerating prototyping.. Secure API Keys: Manages and secures API keys for various LLM providers, centralizing access control and reducing security risks associated with direct key exposure..

Every AI is best suited for This tool is ideal for developers, product managers, and engineering teams within startups and enterprises looking to integrate AI capabilities into their products. It particularly benefits those who need to manage multiple LLM providers, optimize costs, ensure high availability, and accelerate the development of AI-powered features without building complex infrastructure from scratch..

Reduces development time and complexity by offering a single API for multiple LLMs, eliminating the need to learn various provider-specific interfaces.

Enables seamless switching between LLM providers or models, protecting applications from vendor lock-in and allowing easy adoption of newer, better models.

Intelligent routing, caching, and cost analytics ensure that applications use LLMs efficiently, minimizing latency and controlling operational expenditures.

Developers can quickly prototype and deploy AI features using the universal API and playground, significantly speeding up time-to-market for new functionalities.

Automatic fallbacks and robust infrastructure ensure applications remain operational even if a primary LLM service experiences outages, improving user trust.

Develop and deploy advanced chatbots that can leverage multiple LLMs for different conversational flows or fallback to ensure continuous service.

Create applications for generating diverse content (e.g., marketing copy, articles, code) by dynamically selecting the most suitable LLM for each task.

Integrate various code-generating and completion models into IDEs or development platforms, offering developers robust and reliable assistance.

Build tools that use LLMs for summarization, entity extraction, or natural language querying of data, with optimized model selection for efficiency.

Enhance search capabilities with LLM-powered semantic search, question answering, or query reformulation, ensuring high availability and performance across models.

Deploy AI agents that can handle customer inquiries using an array of LLMs, switching models based on query complexity or language for optimal responses.