AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻译准备中
Multi-agent framework for building large scale Agentic AI. Simple agents, powerful results
翻译准备中
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Build model-backed agents and message-driven agent teams in Python Praval is a focused Python framework for agent systems. One agent can use a provider-neutral model runtime, tools, streaming, structured output, memory, multimodal input, and request-based voice. Teams of agents can collaborate through a native layer called Reef. You can start small with one Agent, then add Reef and Spores when work needs to move between specialists. These are two parts of the same framework, not competing APIs. [README 설치·사용 부분 발췌] Install查看完整 README ↗
目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
Build model-backed agents and message-driven agent teams in Python Praval is a focused Python framework for agent systems. One agent can use a provider-neutral model runtime, tools, streaming, structured output, memory, multimodal input, and request-based voice. Teams of agents can collaborate through a native layer called Reef. You can start small with one Agent, then add Reef and Spores when work needs to move between specialists. These are two parts of the same framework, not competing APIs. [README 설치·사용 부분 발췌] Install查看完整 README ↗