Lecture 6: Coze Platform Deep Dive

Comprehensively master Coze platform's core features and advanced techniques.

1. Coze Platform Architecture

1.1 Overall Architecture

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Coze Platform
├── Application Layer
│ ├── Bot (Chatbot)
│ ├── Plugin
│ ├── Workflow
│ └── Knowledge Base

├── Capability Layer
│ ├── Large Model (LLM)
│ ├── Multi-modal (Image/Voice)
│ └── Tool Calling (Function Calling)

└── Ecosystem Layer
├── Coze Store
├── Doubao (Douyin)
├── Feishu
└── WeChat

1.2 Core Concept Relationships

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Bot (Robot)
├── Persona & Response Logic (Prompt)
├── Plugins (Extended capabilities)
├── Workflows (Complex logic)
├── Knowledge Base (Private data)
└── Database (Persistence)

2. Bot Development Deep Dive

2.1 Bot Configuration Full Analysis

Basic Configuration:

  • Name: Bot display name
  • Description: One-sentence introduction of Bot's functionality
  • Icon: Visual identifier
  • Tags: For classification and search

Advanced Configuration:

  • Model Selection:
    • Doubao large model (default)
    • GPT-4 (needs application)
    • Claude (needs application)
  • Response Length: Control detail level of responses
  • Context Length: How many conversation rounds to remember

2.2 Persona & Response Logic

Structured Prompt Template:

# Role
You are [role name], [role positioning]

## Background
[User group] uses your service, their pain points are [pain point description]

## Skills
### Skill 1: [Skill name]
- Function: [Specific function]
- Trigger condition: [When to use]
- How to use: [How to use]

### Skill 2: [Skill name]
...

## Workflow
1. [Step 1]
2. [Step 2]
3. [Step 3]

## Constraints
- [Constraint 1]
- [Constraint 2]

## Output Format
[Format requirements]


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## Examples