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build: v1.0.0-beta.4 release (^.^)YYa!!

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Michael Yang 2024-05-31 16:10:34 +08:00
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changes.md
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# Agents-Flex ChangeLog
## v1.0.0-beta.4 20240531
- feat: OpenAiLlm support embedding model config
- feat: add get dimensions method in EmbeddingModel
- feat: SparkLlm support embedding
- feat: optimize MilvusVectorStore
- feat: MilvusVectorStore add username and password config
- refactor: optimize HttpClient.java
- refactor: optimize AliyunVectorStore
- refactor: update StoreOptions to extends Metadata
- refactor: optimize StoreResult and Metadata
- fix: fix AIMessage tokens parse
---
- 新增：OpenAiLlm 添加自定义 embedding 模型的支持
- 新增：EmbeddingModel 添加获取向量维度的支持
- 新增：SparkLlm 星火大模型添加对 embedding 的支持
- 新增：添加 Milvus 向量数据库的支持
- 优化：优化 HttpClient 的代码
- 优化：优化 AliyunVectorStore 的代码
- 优化：优化 StoreOptions 和 Metadata 的代码
- 修复：AIMessage 的 tokens 消耗解析不正确的问题
## v1.0.0-beta.3 20240516
- feat：add "description" to agent for automatic arrangement by LLM
- feat: StoreResult can return ids if document store success

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docs/zh/changes.md
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# Agents-Flex ChangeLog
## v1.0.0-beta.4 20240531
- feat: OpenAiLlm support embedding model config
- feat: add get dimensions method in EmbeddingModel
- feat: SparkLlm support embedding
- feat: optimize MilvusVectorStore
- feat: MilvusVectorStore add username and password config
- refactor: optimize HttpClient.java
- refactor: optimize AliyunVectorStore
- refactor: update StoreOptions to extends Metadata
- refactor: optimize StoreResult and Metadata
- fix: fix AIMessage tokens parse
---
- 新增：OpenAiLlm 添加自定义 embedding 模型的支持
- 新增：EmbeddingModel 添加获取向量维度的支持
- 新增：SparkLlm 星火大模型添加对 embedding 的支持
- 新增：添加 Milvus 向量数据库的支持
- 优化：优化 HttpClient 的代码
- 优化：优化 AliyunVectorStore 的代码
- 优化：优化 StoreOptions 和 Metadata 的代码
- 修复：AIMessage 的 tokens 消耗解析不正确的问题
## v1.0.0-beta.3 20240516
- feat：add "description" to agent for automatic arrangement by LLM
- feat: StoreResult can return ids if document store success