Key Features
| Feature | Description |
|---|---|
| Production Optimization | Built-in caching, memory optimization, and resource management for scalable deployment |
| Agents with Constraints | Preserve your agent’s reasoning abilities while enforcing deterministic rules instead of suggesting behavior |
| Dynamic Workflows | Use simple decorators to design multi-agent systems with advanced patterns like parallelism, retries, and replanning |
| Declarative Orchestration | Define complex agent systems in YAML for more predictable and maintainable orchestration |
| Pluggable Observability | Integrate with your existing stack in minutes with native OpenTelemetry support for real-time monitoring, auditing, and detailed tracing |
| MCP and A2A Native | Build MCP-compatible components, equip agents with MCP tools, and interoperate with any MCP or A2A agent system |
| Provider Agnostic | Supports 10+ LLM providers including Ollama, Groq, OpenAI, Watsonx.ai, and more with seamless switching |
| Python and TypeScript Support | Complete feature parity between Python and TypeScript implementations lets teams build with the tools they already know and love |