Flapico

Product Introduction

1. Flapico is a specialized LLMOps platform that enables developers and teams to version-control, test, and evaluate prompts for large language model (LLM) applications. It decouples prompts from codebases, allowing iterative improvements without disrupting production systems. The platform provides quantitative evaluation frameworks to ensure LLM reliability before deployment.
2. The core value of Flapico lies in transforming prompt engineering into a systematic, collaborative, and data-driven process. It replaces manual testing with automated workflows, reducing errors and downtime in production LLM applications. By centralizing prompt management, teams can collaborate efficiently while maintaining security and scalability.

Main Features

1. Prompt Playground: Flapico allows users to test prompts across multiple LLMs (e.g., GPT-4, Claude) with adjustable configurations like temperature and token limits. Version control tracks iterations, enabling rollbacks and comparisons. Real-time testing against diverse models ensures optimal prompt performance.
2. Large-Scale Testing: Users run batch tests on datasets using combinations of prompts, models, and parameters. Tests execute concurrently in the background, with real-time progress tracking and metrics. This feature validates prompts at scale, identifying edge cases and performance bottlenecks.
3. Evaluation Library: Flapico offers pre-built evaluation metrics (e.g., accuracy, coherence) and custom criteria to assess LLM outputs. Granular logs capture every API call, while dashboards visualize metrics like latency and cost. Teams automate evaluations to compare model outputs across versions.
4. Secure Model Repository: All integrated LLMs (OpenAI, Anthropic, etc.) and custom models are stored in an encrypted repository. Role-based access controls (RBAC) and audit logs ensure compliance. Fernet Encryption (AES 128) secures API keys and sensitive data.

Problems Solved

1. Unreliable LLM Outputs: Flapico eliminates guesswork in prompt engineering by providing quantitative metrics for response quality. Teams detect hallucinations, biases, or inaccuracies before deployment.
2. Team Collaboration Challenges: Developers, data scientists, and product teams collaborate on prompts in a unified workspace. Version history and access controls prevent conflicts and ensure accountability.
3. Security Risks: Sensitive model credentials and datasets are protected via enterprise-grade encryption (AES 128) and HIPAA-compliant storage. Row-level security restricts data access to authorized users.

Unique Advantages

1. Integrated Workflows: Unlike siloed tools, Flapico combines prompt versioning, multi-model testing, and security in one platform. Teams avoid context-switching between disjointed tools.
2. Concurrent Testing Engine: The platform runs hundreds of tests in parallel, reducing evaluation time from days to hours. Real-time updates and background processing ensure no resource bottlenecks.
3. Enterprise-Grade Security: Flapico exceeds standard security practices with Fernet Encryption, HIPAA compliance, and RBAC. Audit logs and access controls meet regulatory requirements for industries like healthcare and finance.

Frequently Asked Questions (FAQ)

1. What is Flapico? Flapico is an LLMOps platform for versioning, testing, and evaluating prompts across models like GPT-4 and Claude. It ensures reliable LLM outputs in production through automated workflows and collaborative tools.
2. Is my model secure on Flapico? Yes, Flapico uses Fernet Encryption (AES 128) for credentials and HIPAA-compliant storage for data. Row-level security and RBAC restrict access to authorized users only.
3. How do I test prompts on large datasets? Upload your dataset, select prompts and models, and configure test parameters. Flapico runs concurrent tests, providing metrics like accuracy and cost efficiency in the evaluation dashboard.