AlphaAvatar Framework plugin for DeepResearch service
Project description
下面是参考 Memory / Character 插件 README 风格,并结合 DeepResearch 实际职责,为你补充完成的一份 DeepResearch Plugin for AlphaAvatar 的 README 草案。内容已默认 DeepResearch 当前使用 Tavily API,并把 Tavily 的能力结构化地融入插件设计中,保持与前两个插件在抽象层级与语气上的一致性。
DeepResearch Plugin for AlphaAvatar
A modular deep-research middleware for AlphaAvatar, providing unified access to web search, real-time information retrieval, and multi-step research workflows.
This plugin enables AlphaAvatar agents to perform fact-finding, evidence-backed reasoning, and long-horizon research tasks without coupling agent logic to any specific search engine or web crawling implementation.
Features
- Unified Research Interface: Abstracts web search, browsing, and content extraction behind a single, agent-friendly API.
- Real-time Web Access: Fetches up-to-date information beyond the model’s static knowledge cutoff.
- Multi-step Research Support: Designed for iterative research loops such as search → read → refine → synthesize.
- Source-aware Results: Returns structured results with titles, URLs, snippets, and raw content to support citation and grounding.
- Pluggable Backends: Easily switch between different research/search providers without changing agent logic.
Installation
pip install alpha-avatar-plugins-deepresearch
Supported DeepResearch Frameworks
Default: Tavily
Tavily is a search and research API purpose-built for LLM and agent workflows. It emphasizes relevance, freshness, and machine-readable outputs, making it well-suited for autonomous research agents.
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