#126 · Primary category: LLM Application Frameworks
datapizza-ai
Build reliable Gen AI solutions without overhead 🍕
Project last updated:05/19/26
GitHub Stars
2.2K
Forks
140
Contributors
19
License
MIT
Why we included this project
Datapizza AI is a Python framework for engineers who want to ship agent and RAG applications without wiring up model providers by hand. It presents one consistent interface across OpenAI, Google Gemini, Anthropic, Mistral, and Azure, with built-in pieces such as persistent memory, tool integration, document processing, and smart chunking. Where it differs from the usual demo-grade GenAI frameworks is observability: OpenTelemetry tracing and optional client I/O logging make it straightforward to trace what a pipeline actually did when something breaks. That bias toward control and debugging, rather than abstraction, is why it reads as a production tool instead of a quick prototype scaffold. Teams with live GenAI workloads should find the practical, no-frills design familiar.
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