feat: add Cobra CLI, LSP/MCP registries, workflow engine, and enriched dashboard
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Beta Release / beta (push) Successful in 2m24s
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 💘 Generated with Crush Assisted-by: GLM-5.1 via Crush <crush@charm.land>
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@@ -378,61 +378,49 @@ export default function Shell({ api }) {
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setAiMessages(prev => [...prev, { role: 'user', content: text }])
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setAiInput('')
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setAiLoading(true)
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const currentTab = tabs.find(t => t.id === activeTab)
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const context = {
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cwd: currentTab?.cwd || '',
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platform: navigator.platform || '',
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}
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try {
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const res = await api.runCommand(`echo "AI: ${text}"`, '')
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const output = res.output || t('shell.noResponse')
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parseAndAddAiMessages(output)
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} catch (err) {
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setAiMessages(prev => [...prev, { role: 'ai', content: `${t('shell.error')}: ${err.message}` }])
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}
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setAiLoading(false)
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}
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const parseAndAddAiMessages = (text) => {
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const lines = text.split('\n')
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let buffer = ''
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let inBlock = false
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const flushBuffer = () => {
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if (buffer.trim()) {
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setAiMessages(prev => [...prev, { role: 'ai', content: buffer.trim() }])
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}
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buffer = ''
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}
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for (const line of lines) {
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const toolMatch = line.match(/^\[TOOL_CALL:\{.*\}\]$/)
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if (toolMatch) {
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flushBuffer()
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try {
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const toolData = JSON.parse(toolMatch[0].slice(10, -1))
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let accumulated = ''
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await api.sendShellChat(text, context, true, (partial, event) => {
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if (event && event.tool_call) {
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setAiMessages(prev => [...prev, {
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role: 'tool',
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content: `${t('shell.toolLaunched')}: ${toolData.tool || 'tool'}`,
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args: toolData.task || toolData.args || '',
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content: `${t('shell.toolLaunched')}: ${event.tool_call.name || 'tool'}`,
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args: event.tool_call.args ? JSON.stringify(event.tool_call.args).slice(0, 100) : '',
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}])
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} catch {
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setAiMessages(prev => [...prev, { role: 'tool', content: line, args: '' }])
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return
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}
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} else if (line.match(/^(Reflexion|Thought|thinking):/i) || line.startsWith('>')) {
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if (buffer.trim() && !inBlock) {
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flushBuffer()
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if (event && event.tool_result) {
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const resultText = event.tool_result.result?.content || event.tool_result.error || 'completed'
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setAiMessages(prev => [...prev, {
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role: 'tool_result',
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content: resultText,
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isError: event.tool_result.result?.is_error,
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}])
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return
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}
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inBlock = true
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const cleaned = line.replace(/^(Reflexion|Thought|thinking):\s*/i, '').replace(/^>\s*/, '')
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if (buffer) buffer += ' '
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buffer += cleaned
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} else {
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if (inBlock && buffer.trim()) {
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setAiMessages(prev => [...prev, { role: 'thinking', content: buffer.trim() }])
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buffer = ''
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}
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inBlock = false
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if (buffer) buffer += '\n'
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buffer += line
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if (event && event.done) return
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accumulated = partial
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setAiMessages(prev => {
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const filtered = prev.filter(m => !m._streaming)
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return [...filtered, { role: 'ai', content: partial, _streaming: true }]
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})
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})
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setAiMessages(prev => prev.filter(m => !m._streaming))
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if (accumulated) {
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setAiMessages(prev => [...prev.filter(m => !m._streaming), { role: 'ai', content: accumulated }])
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}
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} catch (err) {
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setAiMessages(prev => [...prev.filter(m => !m._streaming), { role: 'ai', content: `${t('shell.error')}: ${err.message}` }])
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}
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flushBuffer()
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setAiLoading(false)
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}
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return (
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