PromptLogic delivers enterprise-grade prompt lifecycle management with version control, automated testing, multi-model deployment, and cost analysis. Deeply integrated with AWS Bedrock for seamless model switching between Llama 3, Claude 3, and Titan.
Comprehensive tools for managing the complete prompt lifecycle at enterprise scale.
Automated quality scoring across multiple models with quantitative metrics, ensuring consistent performance and reducing cloud compute waste.
Seamless model switching between Llama 3, Claude 3, and Titan on AWS Bedrock with consistent output schemas and performance benchmarks.
Real-time token usage tracking and cost analysis across models, with optimization recommendations to reduce AWS spending while maintaining performance.
Git-integrated prompt versioning with branching, merging, and rollback capabilities for enterprise-grade change management.
Enterprise-grade security with data encryption, access controls, and compliance reporting for regulated industries.
Automated testing pipelines for prompts with pre-deployment validation and performance benchmarking across AWS environments.
Our architecture is purpose-built for AWS, leveraging high-compute resources to ensure low-latency reasoning and high-throughput data processing across enterprise-scale workloads.
Utilizing Claude 3.5, Llama 3, and Titan for high-reasoning tasks via AWS Bedrock APIs with seamless model switching.
Complex prompt chains managed by AWS Step Functions for stateful reliability and fault tolerance.
Real-time token usage tracking, performance logging, and cost optimization for enterprise governance.
Enterprise-grade identity management and data encryption with Amazon Cognito and KMS.
Integrate enterprise-grade prompt management into your production workflows.
from promptlogic import LogicEngine, BedrockProvider
# Initialize AWS Bedrock through PromptLogic
engine = LogicEngine(provider=BedrockProvider(region="us-east-1"))
# Define a prompt with structured logic validation
logic_chain = engine.create_chain(
prompt="Analyze quarterly fiscal reports",
schema=FiscalOutputModel,
strict_mode=True
)
result = logic_chain.execute()
# Result is now a validated Python object, not just text
# REST API Endpoint
POST /api/v1/chains/execute
# Request Body
{
"chain_id": "financial-analysis-v2",
"model": "claude-3-opus-20240229",
"input": { "report_url": "s3://reports/q1-2024.pdf" },
"options": { "cost_analysis": true }
}
# Response (validated JSON)
{ "status": "completed", "result": {...} }
Deploy prompt chains as AWS Lambda functions with built-in CI/CD pipelines for automated testing and deployment.
Seamlessly connect with Amazon OpenSearch for long-term memory and semantic context management across prompt executions.
Automated testing pipelines that validate prompt performance across multiple models before deployment to production.
PromptLogic is purpose-built for AWS, leveraging enterprise-grade services to deliver scalable, secure, and cost-effective prompt management solutions.
AWS Lambda, SageMaker, EC2
Amazon Bedrock, SageMaker JumpStart
Amazon S3, DynamoDB, OpenSearch
Amazon Cognito, IAM, KMS
Step Functions, EventBridge
CloudWatch, X-Ray
Built with security at every layer for regulated industries.
End-to-end encryption using AWS KMS for data at rest and in transit, ensuring sensitive prompts and outputs remain secure.
Fine-grained IAM integration with role-based access control (RBAC) and multi-factor authentication for secure team collaboration.
Comprehensive audit logging and compliance reporting for SOC 2, GDPR, and HIPAA requirements, with CloudTrail integration.
Real-world applications of PromptLogic in high-value industries.
Automate compliance review processes with structured prompt workflows that ensure regulatory adherence across thousands of financial documents. Leverage AWS Bedrock for consistent, auditable analysis while maintaining data security.
Automated KYC/AML document review
Regulatory compliance reporting
Fraud detection and risk assessment
Manage thousands of product description prompts with version control, A/B testing, and multi-model deployment. Optimize conversion rates while maintaining brand consistency across millions of product listings.
Dynamic product description generation
Personalized marketing copy at scale
Multilingual content localization