Overview & Capability
Python agent framework built by the creators of Pydantic. Provides model-agnostic type-safe structured responses, dependency injection, and streaming agent execution graphs.
Key Highlights
- Type validation and structured output guarantees powered by Pydantic V2
- First-class dependency injection for testing and dynamic tool state
- Model-agnostic switching between OpenAI, Anthropic, Gemini, and Ollama
Robbie's Independent Take
Verified: 2026-10-11
Excellent candidate for local execution with zero cloud lock-in. For 7B-8B parameter models, budget at least 8 GB of unified memory or VRAM (Q4_K_M quantization). For 32B-70B models, aim for 24 GB+ to maintain interactive throughput without CPU offload penalties.
Alternatives & Replaces
- Unvalidated raw JSON agent plumbing