Spring AI Alibaba Admin Server

Spring AI Alibaba Repo: https://github.com/alibaba/spring-ai-alibaba

Spring AI Alibaba Website: https://java2ai.com

Spring AI Alibaba Website Repo: https://github.com/springaialibaba/spring-ai-alibaba-website

English | 中文

Project Overview

Spring AI Alibaba Admin Server is a backend service for AI Agent management platform built on Spring Boot 3.x, providing complete RESTful API support for Agent Studio. The service supports core functionalities including Prompt management, dataset management, evaluator configuration, experiment execution, result analysis, and observability.

Core Features

🤖 Prompt Management

Prompt Template Management: Create, update, and delete Prompt templates
Version Control: Support for Prompt version management and history tracking
Real-time Debugging: Provide online Prompt debugging and streaming responses
Session Management: Support for multi-turn conversation session management

📊 Dataset Management

Dataset Creation: Support for importing and creating datasets in multiple formats
Version Management: Dataset version control and history management
Data Item Management: Fine-grained data item CRUD operations
Create from Trace: Support for creating datasets from OpenTelemetry trace data

⚖️ Evaluator Management

Evaluator Configuration: Support for creating and configuring various evaluators
Template System: Provide evaluator templates and custom evaluation logic
Debugging Features: Support for online evaluator debugging and testing
Version Management: Evaluator version control and release management

🧪 Experiment Management

Experiment Execution: Automated execution of evaluation experiments
Result Analysis: Detailed experiment result analysis and statistics
Experiment Control: Support for starting, stopping, restarting, and deleting experiments
Batch Processing: Support for batch experiment execution and result comparison

📈 Observability

Trace Tracking: Integrated OpenTelemetry providing complete trace tracking
Service Monitoring: Support for service list and overview statistics
Trace Analysis: Provide detailed Trace details and Span analysis

🔧 Model Configuration

Multi-model Support: Support for mainstream AI models including OpenAI, DashScope, DeepSeek
Configuration Management: Unified configuration and management of model parameters
Dynamic Switching: Support for dynamic updates of model configuration at runtime

Quick Start

Prerequisites

JDK 17+
Maven 3.8+
MySQL 8.0+
Elasticsearch 9.x
Nacos 2.x

1. Clone the Project

bash

git clone https://github.com/spring-ai-alibaba/spring-ai-alibaba-admin.git
cd admin

2. Configure Your API Keys

Modify the model configuration in spring-ai-alibaba-admin-server/model-config.yaml according to your model provider.

If you use DashScope, please refer to the model-config-dashscope.yaml template for configuration
If you use DeepSeek, please refer to the model-config-deepseek.yaml template for configuration
If you use OpenAI, please refer to the model-config-openai.yaml template for configuration

💡 Get Your DashScope API Key: Visit Alibaba Cloud Bailian Console to get a free API key.

3. Nacos Configuration (Optional)

If you need to modify the Nacos address, please update the configuration in the spring-ai-alibaba-admin-server/src/main/resources/application.yml file

yaml

nacos:
  server-addr: ${nacos-address}

4. Start SAA Admin

Execute the startup script in the root directory. This script will help you start the database-related services

bash

sh start.sh

Start the application in the spring-ai-alibaba-admin-server directory

bash

mvn spring-boot:run

5. Access the Application

Open your browser and visit http://localhost:8080 to use the SAA Admin platform.

At this point, you can already manage, debug, evaluate, and observe prompts on the platform. If you expect your Spring AI Alibaba Agent application to integrate with Nacos for prompt loading and dynamic updates, and observe the online running status, you can refer to step 6 to configure your AI Agent application.

Configuration

Database Configuration

yaml

spring:
  datasource:
    type: com.alibaba.druid.pool.DruidDataSource
    driver-class-name: com.mysql.cj.jdbc.Driver
    url: jdbc:mysql://127.0.0.1:3306/admin
    username: admin
    password: admin

Elasticsearch Configuration

yaml

spring:
  elasticsearch:
    uris: http://localhost:9200

Nacos Configuration

yaml

nacos:
  server-addr: 127.0.0.1:8848

Observability Configuration

yaml

management:
  otlp:
    tracing:
      export:
        enabled: true
      endpoint: http://localhost:4318/v1/traces

License

This project is open source under the Apache License 2.0 license.

Contributing

We welcome submitting Issues and Pull Requests to help improve the project.