Open-source GenAI frameworks for serverless infrastructure. Production-grade tools for AWS Lambda.
Project description
SubstrAI
Open-source GenAI frameworks for serverless infrastructure.
This package is under active development. The first framework (LambdaLLM) will be released soon.
What is SubstrAI?
SubstrAI is an open-source initiative producing enterprise-grade GenAI frameworks purpose-built for AWS Lambda and serverless infrastructure.
We solve the fundamental incompatibility between existing LLM frameworks (LangChain, LlamaIndex) and AWS Lambda's stateless, cold-start-optimized, timeout-constrained execution model.
Planned Frameworks
| Framework | Description | Status |
|---|---|---|
| LambdaLLM | Serverless-native LLM orchestration | In Development |
| GuardrailGraph | Composable AI safety pipelines | Planned |
| CostSentinel | Real-time GenAI cost governance | Planned |
| PromptOps | Infrastructure-as-Code for prompts | Planned |
| EvalForge | Automated LLM evaluation pipelines | Planned |
| AgentDeploy | Zero-to-production agent deployment | Planned |
| RAGForge | Enterprise RAG architecture generator | Planned |
Design Principles
- Lambda-first: Purpose-built for serverless constraints (cold starts, 15-min timeout, stateless)
- Convention over configuration: Works in 5 minutes with zero config
- Observable by default: Every action traceable without extra setup
- Cost-aware: Built-in budget enforcement and model routing
- Escape hatches: Never trap the user
Installation
pip install substrai
Links
- GitHub: github.com/substrai
- Website: substrai.dev
- Documentation: docs.substrai.dev
Author
Gaurav Kumar Sinha — Founder, SubstrAI
- Email: gaurav@substrai.dev
- GitHub: github.com/substrai
License
MIT License - see LICENSE for details.
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