Flasho is an open-source tool that enables developers to create and manage customer notifications in under five minutes, utilizing a drag-and-drop interface for workflow orchestration. It addresses the challenges of long development cycles and manual testing by automating prompt evaluation and performance testing across various LLM models.
Funding
Funding not disclosed
Founders
Product
Problem
Developing and deploying large language model (LLM) applications is slowed by iterative prompt engineering, lack of standardized testing, and difficulty in evaluating model performance across diverse scenarios. Developers struggle with long development cycles, prompt management, and ensuring the reliability and accuracy of LLM outputs in production.
Solution
Flasho is an open-source platform that streamlines the development and deployment of production-ready LLM applications. The platform provides a drag-and-drop interface for workflow orchestration, enabling developers to create custom workflows with variables, prompts, and resources. Flasho automates prompt evaluation and performance testing across different LLM models, allowing developers to compare outputs and identify the optimal configuration for their use case. The platform also facilitates the creation of custom evaluators to score LLM outputs based on defined criteria and offers one-click API generation for seamless deployment.
Target Audience
Flasho is designed for software developers and machine learning engineers building and deploying LLM-powered applications.
Features
- Drag-and-drop interface for workflow orchestration and prompt engineering
- Automated performance testing across multiple LLM models and prompts
- Auto-generated test cases to simulate production-like scenarios
- Custom evaluator creation for scoring LLM outputs based on specific criteria
- Playground environment with versioning for prompt management
- One-click API generation for deploying workflows to production