01 / SOLUTIONS · AI ENGINEERS
Build agents,
not plumbing.
One SDK across 14 LLM providers, versioned prompts, and full execution traces. Ship the agent the same way you ship code — with semver, tests, and rollbacks.
What you get.
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 14+ LLM providers
- +Automatic failover routing
- +Cost optimization across models
Type-safe SDKs & CLI
Python, JavaScript, and Go SDKs with full type safety. Plus a CLI and MCP server integration.
- +Python, JS + Go SDKs with autocomplete
- +CLI for automation
- +MCP server and A2A protocol support
I/O 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