[WIP] feat: ai plugin refactor #1657
Conversation
|
Important Review skippedDraft detected. Please check the settings in the CodeRabbit UI or the You can disable this status message by setting the WalkthroughThis change set overhauls the robot plugin: introduces a new Home.vue entry/component, adds an OpenAI-compatible client/provider with dynamic LLM config, implements a streaming chat + MCP tools composable, updates modes from Builder→Agent, refactors components and icons, adjusts MCP types/usage, bumps robot deps, and tweaks minor layout/CSS and auth header handling. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
actor User
participant UI as Home.vue / RobotChat.vue
participant Chat as useChat (composable)
participant Client as AIClient
participant Prov as OpenAICompatibleProvider
participant MCP as MCP Server
User->>UI: Type prompt / select prompt
UI->>Chat: send(message, attachments?)
Chat->>Client: chatStream(request with messages/tools)
Client->>Prov: chatStream(payload, beforeRequest)
Note over Client,Prov: beforeRequest injects MCP tools, model, apiKey, baseURL
Prov-->>Client: SSE stream (delta, tool_calls, reasoning)
Client-->>Chat: onReceiveData(delta)
Chat->>UI: Update bubbles (reasoning/markdown)
alt Tool calls present
Chat->>MCP: Execute tool(name,args)
MCP-->>Chat: Tool result
Chat->>Client: Continue stream with tool result
end
Client-->>Chat: onFinish
Chat->>UI: Finalize message/state
sequenceDiagram
autonumber
actor User
participant UI as Home.vue / SettingsPopover
participant Cfg as updateLLMConfig
participant Client as AIClient
participant Prov as OpenAICompatibleProvider
User->>UI: Change model/apiKey/baseURL
UI->>Cfg: updateLLMConfig(newConfig)
Cfg->>Client: update in-memory config
Cfg->>Prov: updateConfig(newConfig)
Note over Client,Prov: Subsequent requests use updated provider settings
Estimated code review effort🎯 4 (Complex) | ⏱️ ~75 minutes Poem
Pre-merge checks and finishing touches and finishing touches❌ Failed checks (1 warning, 1 inconclusive)
✅ Passed checks (1 passed)
Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Comment |
hexqi
force-pushed
the
feat/ai-plugin-refactor
branch
from
0d7f889 to
57ac995
Compare
hexqi
force-pushed
the
feat/ai-plugin-refactor
branch
from
57ac995 to
5eb53e9
Compare
模型配置需要支持配置额外传参，比如配置一个 qwen-plus-thinking 模型，可以配置额外带一个 |
|
感觉可以增强一下代码结构，增强插件的可拓展性与可维护性，比如：
好处：将大模型提供商+模型的静态配置集中放置，容易阅读+可维护；也方便后续集中提供配置进行新增或者隐藏 增强示例结构： export default {
name: 'DeepSeek',
apiBase: 'https://api.deepseek.com/v1',
models: [
{
id: 'deepseek-chat',
name: 'deepseek-chat',
contextWindow: 65536, // 上下文大小
maxTokens: 8192,
defaultMaxTokens: 8000,
inputPrice: 0.0006, // 输入 token 价格
outputPrice: 0.002, // 输出 token 价格
isDefault: true,
description: `60 tokens/second, Enhanced capabilities,API compatibility intact`, // 描述
capabilities: { // 模型能力
tools: {
enabled: true,
},
},
},
]
}
好处：不同的大模型提供商、甚至不同的大模型的 tool_call 格式、以及传参可能都有细微的差别，我们将通用的处理模式全部内聚到一个 provider 里面，后续如果有定制化的需求，直接开放配置出来，让二开用户传入自己的 provider 即可处理 tool_call 格式、传参的相关差异。 总结：增强扩展性+高内聚
|
It feels like the code structure can be enhanced to enhance the scalability and maintainability of the plug-in, such as:
Benefits: Centralize the static configuration of large model providers and models, making it easy to read and maintain; it also facilitates subsequent centralized provision of configurations for adding or hiding Enhanced example structure: export default {
name: 'DeepSeek',
apiBase: 'https://api.deepseek.com/v1',
models: [
{
id: 'deepseek-chat',
name: 'deepseek-chat',
contextWindow: 65536, //Context size
maxTokens: 8192,
defaultMaxTokens: 8000,
inputPrice: 0.0006, //Input token price
outputPrice: 0.002, // Output token price
isDefault: true,
description: `60 tokens/second, Enhanced capabilities,API compatibility intact`, // description
capabilities: { // Model capabilities
tools: {
enabled: true,
},
},
},
]
}
Benefits: Different large model providers, or even different large models, may have subtle differences in the tool_call format and parameter passing. We have integrated all common processing modes into one provider. If there is a need for customization in the future, the configuration can be directly opened, allowing secondary users to pass in their own providers to handle the differences in tool_call format and parameter passing. Summary: Enhanced scalability + high cohesion
|
hexqi
force-pushed
the
feat/ai-plugin-refactor
branch
from
cd3d8c0 to
8005437
Compare
hexqi
force-pushed
the
feat/ai-plugin-refactor
branch
from
f8a401a to
0d7ca22
Compare
3 participants
English | 简体中文
PR
PR Checklist
Please check if your PR fulfills the following requirements:
PR Type
What kind of change does this PR introduce?
Background and solution
What is the current behavior?
Issue Number: N/A
What is the new behavior?
Does this PR introduce a breaking change?
Other information
Summary by CodeRabbit
New Features
Improvements
Bug Fixes
Chores