2024-01-12 16:24:14 +08:00
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# Agents-Flex ChangeLog
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2024-05-12 13:35:55 +08:00
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2024-05-31 16:10:34 +08:00
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## v1.0.0-beta.4 20240531
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- feat: OpenAiLlm support embedding model config
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- feat: add get dimensions method in EmbeddingModel
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- feat: SparkLlm support embedding
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- feat: optimize MilvusVectorStore
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- feat: MilvusVectorStore add username and password config
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- refactor: optimize HttpClient.java
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- refactor: optimize AliyunVectorStore
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- refactor: update StoreOptions to extends Metadata
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- refactor: optimize StoreResult and Metadata
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- fix: fix AIMessage tokens parse
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---
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- 新增：OpenAiLlm 添加自定义 embedding 模型的支持
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- 新增：EmbeddingModel 添加获取向量维度的支持
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- 新增：SparkLlm 星火大模型添加对 embedding 的支持
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- 新增：添加 Milvus 向量数据库的支持
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- 优化：优化 HttpClient 的代码
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- 优化：优化 AliyunVectorStore 的代码
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- 优化：优化 StoreOptions 和 Metadata 的代码
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- 修复：AIMessage 的 tokens 消耗解析不正确的问题
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2024-05-16 17:39:02 +08:00
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## v1.0.0-beta.3 20240516
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- feat：add "description" to agent for automatic arrangement by LLM
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- feat: StoreResult can return ids if document store success
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- feat: StoreOptions support set multi partitionNames
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- feat: add DocumentIdGenerator for Document and Store
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- feat: add ChainException for Chain.executeForResult
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- refactor: rename "SimplePrompt" to "TextPrompt"
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---
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- 新增：为 Agent 添加 description 属性，方便用于 AI 自动编排的场景
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- 新增：Agent 添加对 outputKeys 的定义支持
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- 新增：添加 DocumentIdGenerator 用于在对文档存储时自动生成 id 的功能
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- 新增：StoreOptions 添加多个 partitionName 配置的支持
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- 新增：当 Document 保存成功时，自动返回保存的 id
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- 优化：Chain.executeForResult 会抛出异常 ChainException
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- 修复：ChatGLM 的 Chat JSON 解析错误的问题
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- 测试：优化 SparkLlmTest 的测试代码
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2024-05-12 13:35:55 +08:00
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- 文档：完善基础文档
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