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6 changes: 5 additions & 1 deletion README.md
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Expand Up @@ -99,10 +99,13 @@ Quick overview of important features in **AgentScope 1.0**:
| formatter | Support multi-agent prompt formatting with tools API | [Prompt Formatter](https://doc.agentscope.io/tutorial/task_prompt.html) |
| | Support truncation-based formatter strategy | |
| plan | Support ReAct-based long-term planning | [Plan](https://doc.agentscope.io/tutorial/task_plan.html) |
| | Support manual plan specification | |
| | Support manual plan specification | |
| RAG | Support agentic RAG | [RAG](https://doc.agentscope.io/tutorial/task_rag.html) |
| | Support multimodal RAG | |
| ... | | |

## 📢 News
- **[2025-09]** **RAG** module in AgentScope 1.0 is online now! Check our [tutorial](https://doc.agentscope.io/tutorial/task_rag.html) and [example](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/rag) for more details.
- **[2025-09]** **Voice agent** is online! `ReActAgent` supports Qwen-Omni and GPT-Audio natively now, check our [new example](https://github.com/agentscope-ai/agentscope/tree/main/examples/agent/voice_agent) and [roadmap](https://github.com/agentscope-ai/agentscope/issues/773).
- **[2025-09]** A new powerful 📋**Plan** module is online now! Check out the [tutorial](https://doc.agentscope.io/tutorial/task_plan.html) for more details.
- **[2025-09]** **AgentScope Runtime** is open-sourced now! Enabling effective agent deployment with sandboxed tool execution for production-ready AI applications. Check out the [GitHub repo](https://github.com/agentscope-ai/agentscope-runtime).
Expand Down Expand Up @@ -361,6 +364,7 @@ as_studio
- [MCP](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/mcp)
- [Plan](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/plan)
- [Structured Output](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/structured_output)
- [RAG](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/rag)
- [Long-Term Memory](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/long_term_memory)
- [Session with SQLite](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/session_with_sqlite)
- [Voice Agent](https://github.com/agentscope-ai/agentscope/tree/main/examples/agent/voice_agent)
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12 changes: 8 additions & 4 deletions README_zh.md
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Expand Up @@ -99,17 +99,20 @@ AgentScope v1.0 新功能概览:
| evaluation | 提供分布式和并行评估 | [Evaluation](https://doc.agentscope.io/zh_CN/tutorial/task_eval.html) |
| formatter | 支持多Agent提示格式化与工具API | [Prompt Formatter](https://doc.agentscope.io/zh_CN/tutorial/task_prompt.html) |
| | 支持基于截断的格式化策略 | |
| plan | 支持任务分解和计划制定 | [Plan](https://doc.agentscope.io/zh_CN/tutorial/task_plan.html) |
| | 支持开发者手动设定计划 | |
| plan | 支持任务分解和计划制定 | [Plan](https://doc.agentscope.io/zh_CN/tutorial/task_plan.html) |
| | 支持开发者手动设定计划 | |
| RAG | 支持 agentic RAG | [RAG](https://doc.agentscope.io/tutorial/task_rag.html) |
| | 支持多模态 RAG | |
| ... | | |

## 📢 新闻
- **[2025-09]** AgentScope 1.0 **RAG** 模块已上线!欢迎查看 [文档](https://doc.agentscope.io/zh_CN/tutorial/task_rag.html) 和 [样例](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/rag)。
- **[2025-09]** **Voice agent** 已上线!`ReActAgent` 已原生支持 Qwen-Omni 和 GPT-Audio 系列模型,欢迎查看 [样例](https://github.com/agentscope-ai/agentscope/tree/main/examples/agent/voice_agent) 和 [roadmap](https://github.com/agentscope-ai/agentscope/issues/773)。
- **[2025-09]** 一个全新功能强大的 📋**Plan** 模块已经上线 AgentScope!查看[文档](https://doc.agentscope.io/zh_CN/tutorial/task_plan.html)了解更多详情。
- **[2025-09]** **AgentScope Runtime** 现已开源!支持沙盒化工具执行的高效智能体部署,助力打造生产级AI应用。查看 [GitHub 仓库](https://github.com/agentscope-ai/agentscope-runtime)。
- **[2025-09]** **AgentScope Studio** 现已开源!查看 [GitHub 仓库](https://github.com/agentscope-ai/agentscope-studio)。
- **[2025-08]** v1 版本 Tutorial 已上线!查看[tutorial](https://doc.agentscope.io/zh_CN/)了解更多详情。
- **[2025-08]** 🎉🎉 AgentScope v1现已发布!在完全拥抱异步执行的基础上提供许多新功能和改进。查看[changelog](https://github.com/agentscope-ai/agentscope/blob/main/docs/changelog.md)了解详细变更。
- **[2025-08]** v1 版本 Tutorial 已上线!查看 [tutorial](https://doc.agentscope.io/zh_CN/) 了解更多详情。
- **[2025-08]** 🎉🎉 AgentScope v1现已发布!在完全拥抱异步执行的基础上提供许多新功能和改进。查看 [changelog](https://github.com/agentscope-ai/agentscope/blob/main/docs/changelog.md) 了解详细变更。

## 💬 联系我们

Expand Down Expand Up @@ -363,6 +366,7 @@ as_studio
- [MCP](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/mcp)
- [计划](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/plan)
- [结构化输出](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/structured_output)
- [RAG](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/rag)
- [长期记忆](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/long_term_memory)
- [基于DB的会话管理](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/session_with_sqlite)
- [语音智能体](https://github.com/agentscope-ai/agentscope/tree/main/examples/agent/voice_agent)
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1 change: 1 addition & 0 deletions docs/tutorial/en/index.rst
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Expand Up @@ -43,6 +43,7 @@ Welcome to AgentScope's documentation!
tutorial/task_agent
tutorial/task_pipeline
tutorial/task_plan
tutorial/task_rag
tutorial/task_state
tutorial/task_hook
tutorial/task_mcp
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3 changes: 2 additions & 1 deletion docs/tutorial/en/src/task_embedding.py
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Expand Up @@ -22,11 +22,12 @@
* - Gemini
- ``GeminiTextEmbedding``
* - DashScope
- ``DashScopeTextEmbedding``
- ``DashScopeTextEmbedding``, ``DashScopeMultiModalEmbedding``
* - Ollama
- ``OllamaTextEmbedding``

All classes inherit from ``EmbeddingModelBase``, implementing the ``__call__`` method and generating ``EmbeddingResponse`` object with the embeddings and usage information.
The ``DashScopeMultiModalEmbedding`` supports multi-modal embeddings for text, images, and videos.

Taking the DashScope embedding class as an example, you can use it as follows:
"""
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