Description
GoModel is an open-source AI gateway developed in Go, designed to streamline AI model management by providing a single endpoint compatible with OpenAI and Anthropic APIs. It supports 31 AI providers, including major names like OpenAI, Anthropic, Google Gemini, and Amazon Bedrock. GoModel offers features such as aliases, scoped workflows, caching, failover, budgets, audit logs, and usage tracking, all managed through a single small binary with an embedded admin dashboard.
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The gateway allows seamless integration with existing OpenAI or Anthropic SDKs, requiring only a change in the base URL. It supports a wide range of AI models and providers, enabling users to register multiple API keys per provider for round-robin rotation. GoModel also offers advanced features like exact-match and semantic caching, backed by technologies such as Qdrant and Pinecone, ensuring efficient response handling.
GoModel's scoped workflows allow for detailed control over cache, audit logging, usage tracking, budgets, guardrails, and failover, tailored per provider, model, or user path. This flexibility ensures that different workloads can be managed with specific runtime policies. The gateway also provides robust failover mechanisms, retrying with backoff and using circuit breakers to handle provider outages effectively.
For deployment, GoModel offers various options, including Docker, Kubernetes, and plain binary setups, with storage starting on SQLite and scaling to PostgreSQL or MongoDB as needed. The Pro version of GoModel includes additional features like prompt compression, intelligent routing, and OIDC single sign-on, available for a subscription fee.
Overall, GoModel serves as a comprehensive solution for managing AI models, offering extensive provider support, advanced caching, and detailed usage tracking, making it a valuable tool for developers and organizations looking to optimize their AI workflows.
- CategoryAI DevOps & Cloud Tools
- Pricing ModelOpen Source
- DeploymentDocker, Kubernetes, Binary
- PlatformsCloud, Local
GoModel's Core Features
Open-source AI gateway
Supports 31 AI providers
Aliases and virtual models
Scoped workflows
Caching and failover
Usage and cost tracking
Audit logs
Admin dashboard
How to use GoModel?
Install: Deploy GoModel using Docker or binary
Configure: Set up providers and workflows
Monitor: Use the admin dashboard for tracking
Optimize: Adjust settings for performance
GoModel's Use Cases
- Unified AI endpoint
- Cost tracking
- Provider failover
- Local model integration
- Scoped workflows
