Build and deploy AI workflows10x faster
Stop wrestling with prompt management, debugging, and deployment. PromptRails gives you the infrastructure to ship AI features with confidence.
Version Control for Prompts
Treat prompts like code. Semantic versioning, branching, and one-click rollback to stable versions.
- Semantic versioning for prompt templates
- One-click rollback to stable versions
- Branch testing before production
Full Execution Tracing
Debug AI workflows with complete visibility into every step, token, and decision.
- Step-by-step execution traces
- Token usage and cost breakdown
- Latency and performance analytics
Multi-Model Routing
Switch between LLM providers without code changes. Compare performance and optimize costs instantly.
- Support for 7+ LLM providers
- Automatic failover routing
- Cost optimization across models
Type-Safe SDKs & CLI
Python, TypeScript, and Go SDKs with full type safety. Plus a CLI and MCP server integration.
- Python, TypeScript + Go SDKs with autocomplete
- CLI for automation
- MCP server and A2A protocol support
Input/Output Schema Validation
Define schemas for your prompts and agents. Enforce structure on inputs and outputs automatically.
- JSON schema validation on inputs
- Structured output enforcement
- Jinja2 template engine for prompts
Agent Orchestration Patterns
Build simple agents, chains, multi-agent pipelines, or complex workflows with visual builders.
- 5 agent types: simple, chain, multi-agent, workflow, composite
- Visual workflow builder
- Memory and context management
Ready to ship AI features faster?
Join engineering teams building production AI workflows with PromptRails.