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Framework Ecosystem

Each framework solves a specific challenge in deploying GenAI on serverless infrastructure. All are open-source, Lambda-optimized, and designed to work together.

LambdaLLM

Released

Serverless-native LLM orchestration for AWS Lambda

  • Cold-start optimized (<5MB core)
  • Automatic state persistence to DynamoDB
  • Cost-aware model routing with fallback
Python TypeScript AWS Lambda Bedrock DynamoDB
View LambdaLLM details

GuardrailGraph

Released

Composable AI safety pipelines for production GenAI

  • Graph-based safety pipeline composition
  • Built-in PII detection and redaction
  • HIPAA, SOX, GDPR, FedRAMP compliance packs
Python TypeScript AWS Lambda Bedrock Guardrails
View GuardrailGraph details

CostSentinel

Released

Real-time GenAI cost governance and budget enforcement

  • Real-time token cost tracking
  • Per-endpoint budget enforcement
  • Automatic model downgrade on budget breach
Python TypeScript CloudWatch DynamoDB
View CostSentinel details

PromptOps

Released

Infrastructure-as-Code for prompt management

  • Git-based prompt versioning
  • A/B testing with traffic splitting
  • Automated regression testing
Python TypeScript S3 DynamoDB Step Functions
View PromptOps details

EvalForge

Released

Automated LLM evaluation pipeline generator

  • Use-case-driven metric auto-selection
  • Synthetic adversarial test data generation
  • Statistical drift detection
Python TypeScript Step Functions EventBridge Bedrock
View EvalForge details

AgentDeploy

Released

Zero-to-production agent deployment for AWS

  • One-command agent deployment
  • Session management with export/import replay
  • Multi-tenancy with cost isolation
Python TypeScript CDK Lambda Step Functions
View AgentDeploy details

RAGForge

Released

Enterprise RAG architecture generator for AWS

  • Automated chunking strategy selection
  • Multi-source data ingestion
  • FAISS vector store with hybrid retrieval
Python OpenSearch FAISS Bedrock S3
View RAGForge details