lesson

Core Agent平台七日实战

This seven-day practical course introduces the CodeWave Core Agent platform, covering architecture, intelligent code generation, automated testing, real-time diagnostics, RAG knowledge base principles, memory and tool calling, an intelligent customer service project, deployment and monitoring, and review guidance.

open.maic12 modules36 min

Learning objectives

  • Describe the Core Agent platform architecture and the seven-day learning path
  • Explain RAG preprocessing, embedding, retrieval, reranking, and context assembly concepts
  • Identify safe tool calling practices using JSON Schema, environment variables, and retry handling
  • Outline an intelligent customer service system that combines RAG, workflows, and tool calling
  • Summarize deployment, monitoring, rollback, and resource management practices
  • Review key course takeaways and suggested next steps

Lesson outline

  1. 01

    Course Overview and Learning Objectives

    Introduces the CodeWave Core Agent platform, its architecture, intelligent code generation, automated testing, real-time diagnostics, the seven-day learning plan, and the medium-difficulty project requirements.

  2. 02

    Platform Architecture Panorama

    Provides a panoramic view of the Core Agent platform architecture.

  3. 03

    Agent Workflow Simulator

    Introduces an agent workflow simulator for practicing workflow concepts.

  4. 04

    RAG Knowledge Base Core Principles

    Covers RAG implementation in Core Agent, including document preprocessing and chunking, vector embedding and hybrid retrieval with reranking, and context assembly strategies.

  5. 05

    RAG Retrieval Tuning Experiment

    Focuses on experiments for tuning RAG retrieval performance.

  6. 06

    Multi-Model Adaptation and Routing Challenge

    Introduces challenges related to adapting multiple models and routing among them.

  7. 07

    Advanced Features: Memory and Tool Calling

    Explains long-term memory through vector embeddings, JSON Schema tool descriptions, secure API call practices, exponential backoff retries, and the intent-to-tool-call flow.

  8. 08

    Tool Calling Logic Builder

    Provides a builder-style exercise for constructing tool calling logic.

  9. 09

    Project Practice: Intelligent Customer Service System Architecture

    Combines RAG, workflows, and tool calling in a customer service architecture, covering intent recognition, knowledge retrieval, response generation, knowledge base design, multi-turn state management, slot filling, and human handoff rules.

  10. 10

    Project Architecture Puzzle Challenge

    Presents a puzzle challenge for assembling and reasoning about the project architecture.

  11. 11

    Deployment and Monitoring Operations

    Covers release strategies such as canary and blue-green deployment, rollback, distributed tracing, structured logging, performance monitoring, alerting, autoscaling, idle resource cleanup, and tiered storage.

  12. 12

    Course Summary and Next Steps

    Reviews core capabilities, common pitfalls, and suggested next steps including deeper algorithm study, practical projects, frontier technology tracking, and community resources.