Alibaba's "Guide to Building Enterprise AI Applications" (PDF file)

"enterpriseAIThe Application Building Guide provides a comprehensive overview of enterprise-level applications.AIThe application's construction methods and technical system. Content covers...AIApplication architecture evolution (from dialogue, RAG to workflow and)Agent(Pattern), in-depth analysis of delivery process, MaaS, memory management, MCP protocol,AICore infrastructure such as gateways and sandbox isolation will be discussed in detail.Prompt wordsThis guide addresses emerging risks such as injection vulnerabilities, tool security, and identity authentication, along with corresponding protection strategies. Drawing on Alibaba's internal practices, the guide provides developers with end-to-end guidance from development to operations, assisting them in their efforts.High efficiencyTo achieve safelyAIApplication implementation and innovation.

Get theenterprise AI Application Building GuidelinesOriginal PDF report file. Scan the QR code to follow and reply: 20250922

This article is based on internal Alibaba information. AI Application development experience, combined with business research andopen sourceProgress, in-depth analysis AI Application development architecture patterns, delivery differences, infrastructure support, and security challenges. Starting with the most complex... Agent Starting with pattern architecture, let's explore AI The differences between traditional applications and traditional applications in the R&D and delivery phases include issues such as model switching and upgrades, and capability assessment. The focus is on supporting... AI The application development infrastructure, such as MaaS, MCP tools, Sandbox technology, and the observation and evaluation of the development and operation lifecycle. Analysis. AI Introducing new security challenges brought about by applications, such asPrompt wordsInjection, tool usage security, Sandbox isolation, and identity and authorization systems, etc., provide readers with... AI Practical experience and in-depth insights in application development.

AI Application Architecture

• Development history:fromSimpleFrom the dialogue mode to the RAG mode with added vector retrieval capabilities, and then to developers orchestrating workflows and using model-driven approaches at key nodes... AI Workflow patterns have evolved to using models to plan processes themselves. Agent model.
• Agent Pattern Architecture:
  • User interaction module: Receive user requests, collect context data, and convert them into model requests.
  • core LLM Module: Responsible for task planning and short-term memory storage, generating task plans and executing them.
  • Environment ModuleAs a mission execution location, it is usually an isolated sandbox environment, where missions are performed and environmental information is collected.
  • The cycle of planning, task execution, perception, and reflectionAdjust the plan based on the execution results, and repeat the process multiple times to achieve the goal.
  • Memory moduleWhen the task is complex and the context is too long, a long-term memory module is introduced to finely compress memory to retain key information.

  AI Application delivery

  • FeaturesCompared to traditional CI/CD applications,AI Applying CI/CD involves multi-dimensional supply chain management, requiring probabilistic testing strategies, complex cyclical processes, and monitoring of model performance changes. AI Specific issues are monitored at multiple levels.
  • Model and framework selectionChoose a basic model and framework based on multiple dimensions such as quality, cost, expenses, and compliance. For example, for general dialogue scenarios, you can choose... GPT-4. Code generation can be selected using Qwen-Coder; enterprises considering compliance can choose this option.open sourcePrivate deployment of the model. During application updates and iterations, model switching and related tasks are required.
  • Core Process:AI The application has complex dependencies, requiring coordinated delivery of code, models, and data. It is recommended to use environment isolation, dividing it into three phases: development, integration, and production, with each environment having different access controls and stability requirements.

  AI Application development infrastructure

  • MaaS (Model as a Service): Will have different task processing capabilities AI The model is provided to users as a service, which users access via SDK/API. fastApply model reasoning capabilities to reduce AI Application build complexity.
  • Memory:make AI Applications can remember previous interactions, maintaining consistency and coherence in long-term interactions.
  • MCP (Model Context Protocol): Enable large language models to connect to external data sources and tools in a standardized way, so that the models can play a greater role, such as by introducing external tools such as web search, datasets and APIs.
  • AI gatewayBased on the core scenarios of model access and API provisioning, and through design principles such as abstract protocols and unified governance, it incorporates "any model" and "any business API" into a unified control plane, solving the problem of redundant MxN construction and achieving...fastIteration and enterprise-level steady state coexist.
  • Sandbox:for Agent It provides a reliable and secure environment for planning and executing tasks, supporting code generation and execution, browser-use, and local MCP tools.
  • AI ObservableBy acquiring OpenTelemetry data reported by users, it clearly displays the entire process from user input to final output, records metadata of key nodes, provides developers with debugging basis, and serves as the data foundation for evaluation, analysis, and optimization.
  • AI EvaluationTraditional software testing methods AI Feeling powerless in the face of applications, a completely new system needs to be built. AI Application evaluation system to ensure AI By applying reliable, high-quality, and sustainable evolution, uncertainty is transformed into certain business value.

  AI Application security

  • Application security risks and protection:Agent Applications facePrompt wordsNew security challenges such as injection, logical errors, and malicious user requests are emerging, and security issues are evolving from single-point vulnerabilities into systemic risks, requiring multi-layered, in-depth defense and a dedicated security governance system.
  • Tools Use SafelyHigh-risk tools must run in a controlled environment that is completely isolated from the host logic and allows for fine-grained auditing, limiting the scope of their impact.
  • Identity and Authorization:AI The authentication and authorization in this scenario differ from the traditional approach, requiring more flexible and reliable security protocols to prevent risks such as permission leaks, unauthorized access, and data security breaches.
  • Large ModelSupply chain security protectionTo prevent malicious tampering or the implantation of "backdoors" in training datasets, model weights, dependent components, delivery channels, etc., which could lead to models being "launched with defects" and threaten business security.

  along withLarge ModelThe rise of Alibaba AI The R&D ecosystem is thriving, with the number of active Python developers growing by 33% in the past year, primarily for data processing, model training, and... AI Application development and other related work. By 2025 AI The first year of application development was driven by massive capital investment. AI ApplicationfastWith development, related R&D models and application architectures are also constantly maturing, and new... AI The emergence of application middleware allows developers to focus more on innovation. Based on... AI With the continuous improvement of model capabilities and the growing consensus on context engineering, this article provides a guide to help developers.fastBuild AI Applications enable us to realize our innovative dreams.

  Get theenterprise AI Application Building GuidelinesOriginal PDF report file. Scan the QR code to follow and reply: 20250922

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