mirror of
https://github.com/agentuniverse-ai/agentUniverse.git
synced 2026-02-09 01:59:19 +08:00
chore: fix typos
This commit is contained in:
ooooo
@@ -4,7 +4,7 @@
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# @Time : 2024/8/28 16:54
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# @Author : fanen.lhy
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# @Email : fanen.lhy@antgroup.com
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# @FileName: hierarchical_text_spliter.py
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# @FileName: hierarchical_text_splitter.py
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import re
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import uuid
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from typing import List, Optional
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@@ -4,7 +4,7 @@
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# @Time : 2024/8/30 15:13
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# @Author : fanen.lhy
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# @Email : fanen.lhy@antgroup.com
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# @FileName: chroma_hierarchichal_store.py
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# @FileName: chroma_hierarchical_store.py
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from typing import List, Any, Optional
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from chromadb.api.models.Collection import Collection
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@@ -11,7 +11,7 @@
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# @Time : 2025/5/22 16:10
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# @Author : fanen.lhy
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# @Email : fanen.lhy@antgroup.com
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# @FileName: sofa_tracer_propogator.py
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# @FileName: sofa_tracer_propagator.py
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import typing
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from opentelemetry import trace
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@@ -14,17 +14,17 @@ During the translation process, the priority is to ascertain whether the model's
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Implementing this translation in agentUniverse involves the following steps:
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1. Define prompts related to translation, with three for short text and three for long text. Relevant files include:
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- [Short Text Init Prompt](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/prompt/translation/translation_init_en.yaml)
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- [Short Text Reflection Prompt](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/prompt/translation/translation_reflection_en.yaml)
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- [Short Text Improve Prompt](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/prompt/translation/translation_improve_en.yaml)
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- [Long Text Init Prompt](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/prompt/translation/multi_translation_init_en.yaml)
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- [Long Text Reflection Prompt](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/prompt/translation/multi_translation_improve_en.yaml)
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- [Long Text Improve Prompt](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/prompt/translation/multi_translation_improve_en.yaml)
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- [Short Text Init Prompt](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/prompt/translation/translation_init_en.yaml)
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- [Short Text Reflection Prompt](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/prompt/translation/translation_reflection_en.yaml)
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- [Short Text Improve Prompt](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/prompt/translation/translation_improve_en.yaml)
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- [Long Text Init Prompt](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/prompt/translation/multi_translation_init_en.yaml)
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- [Long Text Reflection Prompt](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/prompt/translation/multi_translation_improve_en.yaml)
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- [Long Text Improve Prompt](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/prompt/translation/multi_translation_improve_en.yaml)
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2. Define three agents
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- [Short Text Translation Work Agent](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_work_agent.yaml)
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- [Short Text Translation Reflection Agent](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_reflection_agent.yaml)
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- [Short Text Translation Improvement Agent](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_improve_agent.yaml)
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These agents switch their prompts based on whether the task involves translating long or short texts. The specific logic for this switching mechanism is detailed in the [agent file](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_agent.py).
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- [Short Text Translation Work Agent](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_work_agent.yaml)
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- [Short Text Translation Reflection Agent](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_reflection_agent.yaml)
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- [Short Text Translation Improvement Agent](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_improve_agent.yaml)
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These agents switch their prompts based on whether the task involves translating long or short texts. The specific logic for this switching mechanism is detailed in the [agent file](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_agent.py).
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3. Define the collaborative work process of the three agents
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The collaborative process is illustrated in the earlier-mentioned flowchart of multi-agent collaboration.
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@@ -32,17 +32,17 @@ The collaborative process is illustrated in the earlier-mentioned flowchart of m
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For a deeper dive into the processes, refer to the [detailed code file](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_by_token_agent.py).
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The [configuration file](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_agent.yaml) for the collaborative agents.
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For a deeper dive into the processes, refer to the [detailed code file](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_by_token_agent.py).
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The [configuration file](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_agent.yaml) for the collaborative agents.
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### Demonstration Code
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[Code Link](../../../../examples/sample_apps/traslation_agent_app/intelligence/test/test_translation_agent.py)
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[Code Link](../../../../examples/sample_apps/translation_agent_app/intelligence/test/test_translation_agent.py)
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[Long Text](../../../../examples/sample_apps/traslation_agent_app/intelligence/test/translation_data/long_text.txt)
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[Short Text](../../../../examples/sample_apps/traslation_agent_app/intelligence/test/translation_data/short_text.txt)
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[Long Text](../../../../examples/sample_apps/translation_agent_app/intelligence/test/translation_data/long_text.txt)
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[Short Text](../../../../examples/sample_apps/translation_agent_app/intelligence/test/translation_data/short_text.txt)
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[Translation Of Long Text](../../../../examples/sample_apps/traslation_agent_app/intelligence/test/translation_data/short_text_result.txt)
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[Translation Of Short Text](../../../../examples/sample_apps/traslation_agent_app/intelligence/test/translation_data/long_text_result.txt)
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[Translation Of Long Text](../../../../examples/sample_apps/translation_agent_app/intelligence/test/translation_data/short_text_result.txt)
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[Translation Of Short Text](../../../../examples/sample_apps/translation_agent_app/intelligence/test/translation_data/long_text_result.txt)
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### Demonstration Results
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We can see that using agentUniverse maintains consistency with the results of the original translation_agent project, which hasa been successfully replicated.
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@@ -99,7 +99,7 @@ agentUniverse implements the `@trace_llm` decorator. When an agent calls the cor
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#### Demo Effect
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When calling the `demo_rag_agent` iin the sample project of agentUniverse, using the gpt-4omodel with a query to analyze the reasons behind Warren Buffett's reduction of his stake in BYD, the model invocation tracking function captures the following data:
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When calling the `demo_rag_agent` in the sample project of agentUniverse, using the gpt-4omodel with a query to analyze the reasons behind Warren Buffett's reduction of his stake in BYD, the model invocation tracking function captures the following data:
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```json
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{
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@@ -171,11 +171,11 @@ metadata:
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```
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This component requires configuring DASHSCOPE_API_KEY in the environment variables.
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### [HierarchicalRegexTextSplitter](../../../../../../agentuniverse/agent/action/knowledge/doc_processor/hierarchical_regex_text_spliter.py)
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### [HierarchicalRegexTextSplitter](../../../../../../agentuniverse/agent/action/knowledge/doc_processor/hierarchical_regex_text_splitter.py)
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This component splits the original text into multiple hierarchical levels using specified regex rules, forming a tree-like document structure. Users need to create a custom definition file, with an example as follows:
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```yaml
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name: 'hierarchical_regex_text_spliter'
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name: 'hierarchical_regex_text_splitter'
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description: 'extract keywords from query'
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merge_first: True
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hierarchical_index:
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@@ -189,7 +189,7 @@ llm:
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model_name: qwen-plus
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metadata:
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type: 'DOC_PROCESSOR'
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module: 'agentuniverse.agent.action.knowledge.doc_processor.hierarchical_regex_text_spliter'
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module: 'agentuniverse.agent.action.knowledge.doc_processor.hierarchical_regex_text_splitter'
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class: 'HierarchicalRegexTextSplitter'
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```
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- merge_first: If set to True, it merges the input List[Document] into a single document before splitting.
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@@ -171,12 +171,12 @@ metadata:
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```
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该组件需要在环境变量中配置`DASHSCOPE_API_KEY`。
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### [HierarchicalRegexTextSplitter](../../../../../../agentuniverse/agent/action/knowledge/doc_processor/hierarchical_regex_text_spliter.py)
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### [HierarchicalRegexTextSplitter](../../../../../../agentuniverse/agent/action/knowledge/doc_processor/hierarchical_regex_text_splitter.py)
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该组件使用通过指定的正则规则对原始文本进行多层级的拆分，形成树状的文档结构。
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该组件需要用户自行创建定义文件，一个示例定义文件如下：
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```yaml
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name: 'hierarchical_regex_text_spliter'
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name: 'hierarchical_regex_text_splitter'
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description: 'extract keywords from query'
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merge_first: True
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hierarchical_index:
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@@ -190,7 +190,7 @@ llm:
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model_name: qwen-plus
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metadata:
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type: 'DOC_PROCESSOR'
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module: 'agentuniverse.agent.action.knowledge.doc_processor.hierarchical_regex_text_spliter'
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module: 'agentuniverse.agent.action.knowledge.doc_processor.hierarchical_regex_text_splitter'
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class: 'HierarchicalRegexTextSplitter'
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```
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- merge_first: 设置为True的话会将输入的List[Document]合并为一份文档后再进行拆分
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@@ -30,7 +30,7 @@ agentUniverse中提供了三种Instrument，分别基于LLM、Tool以及Agent维
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#### 功能特点
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- 在 Span 开始时自动添加Sessison ID 属性，属性名为`au.trace.session.id`
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- 在 Span 开始时自动添加 Session ID 属性，属性名为`au.trace.session.id`
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- 如果没有会话 ID，则设置为 `-1`
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### 4. AUSessionPropagator
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@@ -2,7 +2,7 @@
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## 案例说明
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本案例基于ReactAgentTemplate，搭建了一个简单可以自动生成python代码并执行的案例。
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该案例基于千问大模型和`goolge_search`功能，使用前需要您在环境变量中配置`DASHSCOPE_API_KEY`、`SERPER_API_KEY`。
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该案例基于千问大模型和`google_search`功能，使用前需要您在环境变量中配置`DASHSCOPE_API_KEY`、`SERPER_API_KEY`。
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## 快速开始
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### 配置API密钥
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@@ -13,37 +13,37 @@
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## 在aU中的实现
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在aU中实现该翻译的过程主要分为以下几步：
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1. 定义翻译相关的prompt，短文本翻译三个，长文本翻译三个，相关文件如下:
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[短文本翻译init prmpt](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/prompt/translation/translation_init_en.yaml)
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[短文本翻译reflection prmpt](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/prompt/translation/translation_reflection_en.yaml)
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[短文本翻译improve prmpt](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/prompt/translation/translation_improve_en.yaml)
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[长文本翻译init prmpt](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/prompt/translation/multi_translation_init_en.yaml)
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[长文本翻译reflection prmpt](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/prompt/translation/multi_translation_improve_en.yaml)
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[长文本翻译improve prmpt](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/prompt/translation/multi_translation_improve_en.yaml)
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[短文本翻译init prmpt](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/prompt/translation/translation_init_en.yaml)
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[短文本翻译reflection prmpt](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/prompt/translation/translation_reflection_en.yaml)
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[短文本翻译improve prmpt](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/prompt/translation/translation_improve_en.yaml)
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[长文本翻译init prmpt](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/prompt/translation/multi_translation_init_en.yaml)
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[长文本翻译reflection prmpt](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/prompt/translation/multi_translation_improve_en.yaml)
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[长文本翻译improve prmpt](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/prompt/translation/multi_translation_improve_en.yaml)
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在aU中,可以很容易的通过配置文件定义prompt，并统一由PromptManager管理。
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2. 定义三个智能体
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[短文本翻译智能体](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_work_agent.yaml)
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[短文本翻译智能体](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_reflection_agent.yaml)
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[短文本翻译智能体](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_improve_agent.yaml)
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该智能体当中，需要根据执行的时长文本翻译还是短文本翻译切换对应的prompt，具体逻辑可参考[代码实现](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_agent.py)
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[短文本翻译智能体](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_work_agent.yaml)
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[短文本翻译智能体](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_reflection_agent.yaml)
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[短文本翻译智能体](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_improve_agent.yaml)
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该智能体当中，需要根据执行的时长文本翻译还是短文本翻译切换对应的prompt，具体逻辑可参考[代码实现](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_agent.py)
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由于定义的prompt全部由PromptManager进行管理，这里可以很容易的实现prompt的切换
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3. 定义三个智能体的协同工作过程
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协同过程可参考前面介绍的多智能体协同工作过程的流程图,具体的实现逻辑如图：
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更细的流程可以参考[代码文件](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_by_token_agent.py)
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协同智能体的[配置文件](../../../../examples/sample_apps/traslation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_agent.yaml)
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更细的流程可以参考[代码文件](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_by_token_agent.py)
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协同智能体的[配置文件](../../../../examples/sample_apps/translation_agent_app/intelligence/agentic/agent/agent_instance/translation_agent_case/translation_agent.yaml)
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### 演示代码
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[代码链接](../../../../examples/sample_apps/traslation_agent_app/intelligence/test/test_translation_agent.py)
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[代码链接](../../../../examples/sample_apps/translation_agent_app/intelligence/test/test_translation_agent.py)
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[长翻译文本](../../../../examples/sample_apps/traslation_agent_app/intelligence/test/translation_data/long_text.txt)
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[短翻译文本](../../../../examples/sample_apps/traslation_agent_app/intelligence/test/translation_data/short_text.txt)
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[长翻译文本](../../../../examples/sample_apps/translation_agent_app/intelligence/test/translation_data/long_text.txt)
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[短翻译文本](../../../../examples/sample_apps/translation_agent_app/intelligence/test/translation_data/short_text.txt)
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[短翻译结果](../../../../examples/sample_apps/traslation_agent_app/intelligence/test/translation_data/short_text_result.txt)
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[长翻译结果](../../../../examples/sample_apps/traslation_agent_app/intelligence/test/translation_data/long_text_result.txt)
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[短翻译结果](../../../../examples/sample_apps/translation_agent_app/intelligence/test/translation_data/short_text_result.txt)
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[长翻译结果](../../../../examples/sample_apps/translation_agent_app/intelligence/test/translation_data/long_text_result.txt)
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### 演示结果
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可以看到，使用aU与原本的translation_agent原工程翻译结果保持一致，复刻成功。
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@@ -4,7 +4,7 @@
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# @Time : 2024/7/24 15:35
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# @Author : wangchongshi
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# @Email : wangchongshi.wcs@antgroup.com
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# @FileName: product_boostrap.py
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# @FileName: product_application.py
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from agentuniverse.base.agentuniverse import AgentUniverse
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from agentuniverse_product.agentuniverse_product import AgentUniverseProduct
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@@ -4,35 +4,35 @@ appname = 'demo_app'
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[CORE_PACKAGE]
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# Perform a full component scan and registration for all the paths under this list.
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default = ['traslation_agent_app.intelligence.agentic']
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default = ['translation_agent_app.intelligence.agentic']
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# Scan and register agent components for all paths under this list, with priority over the default.
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agent = ['traslation_agent_app.intelligence.agentic.agent']
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agent = ['translation_agent_app.intelligence.agentic.agent']
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# Scan and register knowledge components for all paths under this list, with priority over the default.
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knowledge = ['traslation_agent_app.intelligence.agentic.knowledge']
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knowledge = ['translation_agent_app.intelligence.agentic.knowledge']
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# Scan and register llm components for all paths under this list, with priority over the default.
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llm = ['traslation_agent_app.intelligence.agentic.llm']
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llm = ['translation_agent_app.intelligence.agentic.llm']
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# Scan and register planner components for all paths under this list, with priority over the default.
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planner = []
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# Scan and register tool components for all paths under this list, with priority over the default.
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tool = ['traslation_agent_app.intelligence.agentic.tool']
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tool = ['translation_agent_app.intelligence.agentic.tool']
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# Scan and register memory components for all paths under this list, with priority over the default.
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memory = ['traslation_agent_app.intelligence.agentic.memory']
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memory = ['translation_agent_app.intelligence.agentic.memory']
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# Scan and register service components for all paths under this list, with priority over the default.
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service = ['traslation_agent_app.intelligence.service.agent_service']
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service = ['translation_agent_app.intelligence.service.agent_service']
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# Scan and register prompt components for all paths under this list, with priority over the default.
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prompt = ['traslation_agent_app.intelligence.agentic.prompt']
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prompt = ['translation_agent_app.intelligence.agentic.prompt']
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# Scan and register store components for all paths under this list, with priority over the default.
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store = ['traslation_agent_app.intelligence.agentic.knowledge.store']
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store = ['translation_agent_app.intelligence.agentic.knowledge.store']
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# Scan and register rag_router components for all paths under this list, with priority over the default.
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rag_router = ['traslation_agent_app.intelligence.agentic.knowledge.rag_router']
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rag_router = ['translation_agent_app.intelligence.agentic.knowledge.rag_router']
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# Scan and register doc_processor components for all paths under this list, with priority over the default.
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doc_processor = ['traslation_agent_app.intelligence.agentic.knowledge.doc_processor']
|
||||
doc_processor = ['translation_agent_app.intelligence.agentic.knowledge.doc_processor']
|
||||
# Scan and register query_paraphraser components for all paths under this list, with priority over the default.
|
||||
query_paraphraser = ['traslation_agent_app.intelligence.agentic.knowledge.query_paraphraser']
|
||||
query_paraphraser = ['translation_agent_app.intelligence.agentic.knowledge.query_paraphraser']
|
||||
# Scan and register memory_compressor components for all paths under this list, with priority over the default.
|
||||
memory_compressor = ['traslation_agent_app.intelligence.agentic.memory.memory_compressor']
|
||||
memory_compressor = ['translation_agent_app.intelligence.agentic.memory.memory_compressor']
|
||||
# Scan and register memory_storage components for all paths under this list, with priority over the default.
|
||||
memory_storage = ['traslation_agent_app.intelligence.agentic.memory.memory_storage']
|
||||
memory_storage = ['translation_agent_app.intelligence.agentic.memory.memory_storage']
|
||||
|
||||
[SUB_CONFIG_PATH]
|
||||
# Log config file path, an absolute path or a relative path based on the dir where the current config file is located.
|
||||
@@ -15,5 +15,5 @@ memory:
|
||||
name: ''
|
||||
metadata:
|
||||
type: 'AGENT'
|
||||
module: 'traslation_agent_app.intelligence.agentic.agent.agent_instance.translation_agent_case.translation_by_token_agent'
|
||||
module: 'translation_agent_app.intelligence.agentic.agent.agent_instance.translation_agent_case.translation_by_token_agent'
|
||||
class: 'TranslationAgent'
|
||||
@@ -14,5 +14,5 @@ memory:
|
||||
name: ''
|
||||
metadata:
|
||||
type: 'AGENT'
|
||||
module: 'traslation_agent_app.intelligence.agentic.agent.agent_instance.translation_agent_case.translation_agent'
|
||||
module: 'translation_agent_app.intelligence.agentic.agent.agent_instance.translation_agent_case.translation_agent'
|
||||
class: 'TranslationAgent'
|
||||
@@ -14,5 +14,5 @@ memory:
|
||||
name: ''
|
||||
metadata:
|
||||
type: 'AGENT'
|
||||
module: 'traslation_agent_app.intelligence.agentic.agent.agent_instance.translation_agent_case.translation_agent'
|
||||
module: 'translation_agent_app.intelligence.agentic.agent.agent_instance.translation_agent_case.translation_agent'
|
||||
class: 'TranslationAgent'
|
||||
@@ -14,5 +14,5 @@ memory:
|
||||
name: ''
|
||||
metadata:
|
||||
type: 'AGENT'
|
||||
module: 'traslation_agent_app.intelligence.agentic.agent.agent_instance.translation_agent_case.translation_agent'
|
||||
module: 'translation_agent_app.intelligence.agentic.agent.agent_instance.translation_agent_case.translation_agent'
|
||||
class: 'TranslationAgent'
|
||||
@@ -8,5 +8,5 @@ tool_type: 'api'
|
||||
input_keys: ['input']
|
||||
metadata:
|
||||
type: 'TOOL'
|
||||
module: 'traslation_agent_app.intelligence.agentic.tool.google_search_tool'
|
||||
module: 'translation_agent_app.intelligence.agentic.tool.google_search_tool'
|
||||
class: 'GoogleSearchTool'
|
||||
Reference in New Issue
Block a user