ENTERPILOT/GoModel

What it solves

GoModel is an AI gateway designed to simplify the management of multiple LLM providers. It addresses the problem of provider lock-in, unpredictable costs, and the lack of of centralized observability for AI applications. It provides a unified interface for interacting with various AI models while offering tools to reduce costs and improve reliability.

How it works

GoModel acts as a proxy layer between your application and various AI providers (such as OpenAI, Anthropic, and Google Gemini). It accepts requests in OpenAI-compatible or Anthropic-compatible formats and routes them to the target provider. It includes a dashboard for management and supports configuration via .env files, config.yaml, or the admin interface.

Who it’s for

Developers and teams building AI-powered applications who need to manage multiple LLM providers, track spending, and ensure high availability through failover and load balancing.

Highlights

• Unified API: Supports a vast array of providers including OpenAI, Anthropic, xAI, Google Gemini, and others, with compatibility for official SDKs.
• Cost and Budget Management: Features per-request cost estimates, usage analytics, and hard spend limits per user, team, or key.
• Caching: Supports both exact and semantic response caching to reduce costs and repeated prompt expenses.
• Reliability Tools: Includes automatic failover to backup providers, retries, circuit breakers, and provider key rotation.
• Observability: Provides Prometheus metrics, OpenTelemetry traces, and audit logs via a centralized dashboard.
• Advanced Routing: Offers virtual models for load balancing and intelligent routing to classify requests by difficulty and pick the cheapest healthy provider (Pro version).
• Extensibility: Supports plugins for guardrails, response filters, and routing strategies.