Julep AI is an open-source platform designed to simplify the creation, iteration, and deployment of AI pipelines. It targets data scientists and ML engineers, especially in enterprise environments, offering a serverless architecture for building scalable and durable AI workflows.
Key features include:
- Agent Creation: Define AI agents capable of interacting with users within sessions.
- Tool Integration: Equip agents with tools like web search, API calls, and custom integrations.
- Task Definition: Define multi-step processes using YAML, supporting decision trees, loops, and parallel execution.
- Scalability: Handle millions of concurrent users with automatic scaling and load balancing.
- Production Readiness: Managed infrastructure with features like long-running tasks, automatic retries, and error handling.
- Modular Design: Connect to any external API and switch between LLMs.
- Complete Control: Full visibility into AI operations, cost management, and performance monitoring.
Julep AI aims to bring software engineering discipline to AI development, offering features like prompts as code, clear tool interfaces, model independence, context management, ground truth examples, structured reasoning, workflow-based models, and full observability.
