feat: add Cobra CLI, LSP/MCP registries, workflow engine, and enriched dashboard
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Major changes:
- Refactor CLI entry point to Cobra commands (root, setup, scan, doctor, install, update, lsp, mcp, skills, config, version)
- Add LSP registry with health checks, auto-install, and editor config generation
- Add MCP registry with editor detection, status tracking, and per-editor configuration
- Add workflow engine with planner and step execution for automated task chains
- Add conversation search, export (Markdown/JSON), and detailed token counting
- Add streaming shell chat handler with tool call/result events
- Add skill validation, dry-run testing, and export endpoints
- Enrich dashboard with Tools/Activity/Status tabs and tool cards grid
- Add PRD documentation
- Complete i18n for both EN and FR

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Assisted-by: GLM-5.1 via Crush <crush@charm.land>
This commit is contained in:
Augustin
2026-04-22 22:22:05 +02:00
parent 66b773ff86
commit 2e50366cd8
42 changed files with 6779 additions and 319 deletions

View File

@@ -378,61 +378,49 @@ export default function Shell({ api }) {
setAiMessages(prev => [...prev, { role: 'user', content: text }])
setAiInput('')
setAiLoading(true)
const currentTab = tabs.find(t => t.id === activeTab)
const context = {
cwd: currentTab?.cwd || '',
platform: navigator.platform || '',
}
try {
const res = await api.runCommand(`echo "AI: ${text}"`, '')
const output = res.output || t('shell.noResponse')
parseAndAddAiMessages(output)
} catch (err) {
setAiMessages(prev => [...prev, { role: 'ai', content: `${t('shell.error')}: ${err.message}` }])
}
setAiLoading(false)
}
const parseAndAddAiMessages = (text) => {
const lines = text.split('\n')
let buffer = ''
let inBlock = false
const flushBuffer = () => {
if (buffer.trim()) {
setAiMessages(prev => [...prev, { role: 'ai', content: buffer.trim() }])
}
buffer = ''
}
for (const line of lines) {
const toolMatch = line.match(/^\[TOOL_CALL:\{.*\}\]$/)
if (toolMatch) {
flushBuffer()
try {
const toolData = JSON.parse(toolMatch[0].slice(10, -1))
let accumulated = ''
await api.sendShellChat(text, context, true, (partial, event) => {
if (event && event.tool_call) {
setAiMessages(prev => [...prev, {
role: 'tool',
content: `${t('shell.toolLaunched')}: ${toolData.tool || 'tool'}`,
args: toolData.task || toolData.args || '',
content: `${t('shell.toolLaunched')}: ${event.tool_call.name || 'tool'}`,
args: event.tool_call.args ? JSON.stringify(event.tool_call.args).slice(0, 100) : '',
}])
} catch {
setAiMessages(prev => [...prev, { role: 'tool', content: line, args: '' }])
return
}
} else if (line.match(/^(Reflexion|Thought|thinking):/i) || line.startsWith('>')) {
if (buffer.trim() && !inBlock) {
flushBuffer()
if (event && event.tool_result) {
const resultText = event.tool_result.result?.content || event.tool_result.error || 'completed'
setAiMessages(prev => [...prev, {
role: 'tool_result',
content: resultText,
isError: event.tool_result.result?.is_error,
}])
return
}
inBlock = true
const cleaned = line.replace(/^(Reflexion|Thought|thinking):\s*/i, '').replace(/^>\s*/, '')
if (buffer) buffer += ' '
buffer += cleaned
} else {
if (inBlock && buffer.trim()) {
setAiMessages(prev => [...prev, { role: 'thinking', content: buffer.trim() }])
buffer = ''
}
inBlock = false
if (buffer) buffer += '\n'
buffer += line
if (event && event.done) return
accumulated = partial
setAiMessages(prev => {
const filtered = prev.filter(m => !m._streaming)
return [...filtered, { role: 'ai', content: partial, _streaming: true }]
})
})
setAiMessages(prev => prev.filter(m => !m._streaming))
if (accumulated) {
setAiMessages(prev => [...prev.filter(m => !m._streaming), { role: 'ai', content: accumulated }])
}
} catch (err) {
setAiMessages(prev => [...prev.filter(m => !m._streaming), { role: 'ai', content: `${t('shell.error')}: ${err.message}` }])
}
flushBuffer()
setAiLoading(false)
}
return (