Ghostrun

One API. All AI Models.

Usage Based

Description

Ghostrun, developed by Revenant AI, offers a unified solution for developers working with multiple AI providers. It provides a single, consistent API that allows seamless switching between different AI models and providers by changing just a single parameter. This approach simplifies the integration of diverse AI capabilities into applications, eliminating the need to manage numerous individual API keys and payment methods.

The platform also features powerful Retrieval Augmented Generation (RAG) capabilities, enabling users to ground AI responses in their own data. Ghostrun facilitates the creation and management of RAG pipelines through an intuitive dashboard. Furthermore, its threading feature maintains context across different models and providers within the same conversation, enhancing the coherence of AI interactions, especially when combined with custom data sources.

Key Features

Unified API: Access multiple AI providers and models through a single, consistent interface.
Seamless Provider Switching: Change AI providers and models with a single parameter in your API call.
Powerful RAG Pipelines: Ground AI responses in your own data by creating, managing, and deploying RAG pipelines easily via an intuitive dashboard.
Contextual Threading: Maintain conversation context across different models and providers within the same thread for coherent interactions.
Simplified API Key Management: Store one Ghostrun credential instead of managing multiple provider API keys, as Ghostrun handles provider credentials.
Consolidated Payment Management: Use a single payment method for all AI providers, with costs passed through transparently and no markup.

Use Cases

Developing AI applications requiring diverse models from multiple LLM providers.
Building custom AI solutions for businesses with integrated RAG for proprietary data.
Streamlining AI model experimentation and A/B testing across different providers.
Simplifying backend infrastructure for AI-powered features by centralizing API and payment management.
Integrating context-aware conversational AI grounded in specific knowledge bases.

Frequently Asked Questions

How does Ghostrun handle API keys from different AI providers?

Ghostrun manages provider credentials directly, so users only need to store and manage a single Ghostrun credential. The platform actively handles and updates the individual provider credentials.

How does pricing work with Ghostrun?

Ghostrun provides a single payment method for all integrated AI providers. It automatically tracks provider and model pricing and passes these costs directly to you with no markup. Users can view details in the Ghostrun Inference Market.

Can I use my own data to customize AI responses with Ghostrun?

Yes, Ghostrun features powerful RAG (Retrieval Augmented Generation) pipelines. You can ground AI responses in your own data by adding a `rag_pipeline_id` parameter to your API calls, and manage these pipelines through an intuitive dashboard.

How does Ghostrun help maintain context in conversations, especially when switching models?

Ghostrun utilizes a threading feature that allows you to maintain context across different AI models and providers within the same conversation thread, ensuring coherent and context-aware interactions.