What is Beluga AI Framework?
Beluga AI Framework is a comprehensive, production-ready framework written in Go, designed for building sophisticated AI and agentic applications. Inspired by frameworks like LangChain and CrewAI, Beluga AI provides a robust set of tools and abstractions to streamline the development of applications leveraging Large Language Models (LLMs).
The framework offers a Go-native, performant, and flexible alternative for creating complex AI workflows. Built with extensibility at its core, Beluga AI empowers Go developers to build next-generation AI applications with enterprise-grade observability, comprehensive testing, and production-ready patterns.
🚀 Production Ready: Beluga AI has completed comprehensive standardization and is now enterprise-grade with consistent patterns, extensive testing, and production-ready observability across all 14 packages. The framework is ready for large-scale deployment and development teams.
Key Features
Everything you need to build production-ready AI applications in Go
🚀 Extensible LLM Integration
Seamlessly connect to various LLM providers (OpenAI, Anthropic, Google Gemini, AWS Bedrock, Ollama, Cohere) with a unified interface. Switch providers without changing your code using our global registry pattern.
🤖 Agent Framework
Build autonomous agents capable of reasoning, planning, and executing tasks. Includes ReAct agents, tool integration, and memory management for sophisticated AI applications with comprehensive testing infrastructure.
📊 Production Ready
Enterprise-grade observability with OpenTelemetry, comprehensive testing, structured logging, metrics, and distributed tracing. Built for large-scale deployment with 100% package standardization.
🔍 RAG Pipeline
Implement Retrieval-Augmented Generation with swappable components for data loading, splitting, embedding, and retrieval. Support for multiple vector stores including pgvector, Pinecone, and Weaviate with global factory patterns.
⚙️ Flexible Orchestration
Define and manage complex workflows with a flexible engine. Event-driven architecture with worker pools, retry mechanisms, and circuit breakers for reliable execution with OTEL metrics.
🎤 Voice Agents
Build natural voice interactions with speech-to-text, text-to-speech, voice activity detection, turn detection, and complete session management. Support for multiple voice providers with streaming capabilities.