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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