Description
Respan is a comprehensive LLM engineering platform designed to streamline the development and deployment of AI applications. It integrates observability, evaluations, prompt optimization, and a unified AI gateway to support over 1,000 models. The platform offers automated evaluations to score outputs against predefined standards, ensuring quality in production. With its observability features, users can trace agent workflows and monitor metrics like requests, errors, cost, and latency. Respan's gateway routes LLM traffic through a single endpoint, providing automatic fallbacks, response caching, and spend limits. This ensures reliability and cost-efficiency by serving repeat requests from cache and setting budgets and rate limits. The platform is SOC 2 Type II certified, ensuring secure data management, and supports HIPAA compliance for healthcare teams. Respan offers a free tier with generous limits, and scalable plans for startups and enterprises. It is backed by Y Combinator and Gradient Ventures, and is used by engineering teams to operate AI agents at scale. While Respan does not currently support self-hosting, it is on the roadmap for future development.
- CategoryMLOps & Model Deployment
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsPython, TypeScript
Respan LLM Engineering Platform's Core Features
LLM Observability
Automated Evals
Prompt Optimization
LLM Gateway
Agent Tracing
Multi-Model Routing
Response Caching
Budget and Rate Limits
SOC 2 Compliance
HIPAA Compliance
OpenTelemetry Support
Python and TypeScript SDKs
Framework Integrations
Red Team Security Audits
Custom Evaluations
How to use Respan LLM Engineering Platform?
Configure: Set up the gateway and tracing SDK
Use: Route requests through the unified endpoint
Optimise: Evaluate outputs and monitor metrics
Scale: Adjust plans and integrations as needed
Respan LLM Engineering Platform's Use Cases
- AI Application Development
- Agent Workflow Tracing
- Output Quality Evaluation
- Cost and Latency Monitoring
- Security Audits
