Ghostrun is an AI Inference OS that unifies your AI workflow across multiple providers through a single, consistent interface.
Features
Switch Providers Seamlessly
Allows you to change between AI providers with a single parameter, maintaining context across models and providers within the same thread.
Powerful RAG Pipelines
Grounds AI responses in your own data with a single parameter, enabling the creation, management, and deployment of RAG pipelines within minutes using an intuitive dashboard.
No API Key Management
Stores one credential instead of many by managing and updating provider credentials for you.
No Payment Management
Provides a single payment method for all providers, automatically tracking provider and model pricing and passing the cost to you without markup.
Unified API access
Allows users to access models from OpenAI, Groq, Google Gemini, and Nebius through a single, consistent interface.
Model Availability Listing
Retrieves a list of available models from all supported providers, enabling easy model selection and switching.
Standardized Responses
Provides standardized responses across different LLM providers, allowing for seamless integration and consistent outputs.
Retrieval-Augmented Generation (RAG)
Enhances AI responses by retrieving and incorporating relevant data from the user's own documents, improving accuracy and relevance.
Conversation Threading
Maintains conversation context across multiple turns and provider switches by automatically managing threading, allowing for continuous dialogue.
Capability Tiers
Organizes AI models into different tiers based on their reasoning abilities, context understanding, and specialized capabilities, ranging from Enterprise-grade to Specialized-grade.
Token-Based Pricing
Charges users based on the number of tokens processed for input and output, with no markup over providers' rates, ensuring transparent pricing.
Advanced Filters
Allows users to filter AI models by provider, context window size, and price range to find the most suitable models for their needs.
Multi-provider AI requests
Processes API requests by dynamically routing them to a range of AI model providers like OpenAI, Groq, and Google, allowing for diverse AI capabilities.
Unified AI token billing
Tracks and bills API token usage across different AI model providers to maintain a single point of billing and management.
Secure user authentication
Uses Google OAuth for secure authentication, ensuring that user access and API requests are safely validated.
Real-time conversation threads
Maintains conversation context with ongoing threads that track prompted requests and AI-generated responses in real-time.
Secure API Authentication
API requests are authenticated using unique API keys and bearer token authentication, ensuring secure and controlled access for users.
Data Encryption
Ensures that all data transmitted to and from services is protected using TLS encryption, offering secure HTTP communications and safeguarding data in transit.
Payment Processing Security
Integrates with Stripe for secure payment handling, which includes PCI DSS compliant processes and ensures no complete credit card information is stored.
Web Application Security
Protects web application interactions against CSRF attacks and enforces secure cookie configuration with content security policies for enhanced web security.
Dependency Management
Enhances application security by regularly updating software dependencies, scanning for vulnerabilities, and pinning versions to maintain best practices.
Consistent request/response format
Ensures that interactions with different AI models have a standardized request and response format, simplifying integration and usage.
API key management
Allows users to manage their API keys effectively, helping to secure and control access to the service.
Usage tracking and billing
Includes tools for tracking API usage and managing billing through a credit-based system, providing clear insights into service consumption.