Merge commit 'd803bfe2b1fe7f5e219e50ac20d6801a0a58ac75' as 'vendor/ruvector'
This commit is contained in:
216
vendor/ruvector/crates/ruvector-cli/scripts/statusline-command.ps1
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216
vendor/ruvector/crates/ruvector-cli/scripts/statusline-command.ps1
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# RuVector Intelligence Statusline for Windows PowerShell
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# Multi-line display showcasing self-learning capabilities
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$ErrorActionPreference = "SilentlyContinue"
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# Read JSON input from stdin
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$input = [Console]::In.ReadToEnd()
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$data = $input | ConvertFrom-Json
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$Model = if ($data.model.display_name) { $data.model.display_name } else { "Claude" }
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$CWD = if ($data.workspace.current_dir) { $data.workspace.current_dir } else { $data.cwd }
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$Dir = Split-Path -Leaf $CWD
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# Get git branch
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$Branch = $null
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Push-Location $CWD 2>$null
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$Branch = git branch --show-current 2>$null
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Pop-Location
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# ANSI colors (Windows Terminal supports these)
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$Reset = "`e[0m"
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$Bold = "`e[1m"
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$Cyan = "`e[36m"
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$Yellow = "`e[33m"
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$Green = "`e[32m"
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$Magenta = "`e[35m"
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$Blue = "`e[34m"
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$Red = "`e[31m"
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$Dim = "`e[2m"
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# ═══════════════════════════════════════════════════════════════════════════════
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# LINE 1: Model, Directory, Git
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# ═══════════════════════════════════════════════════════════════════════════════
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$Line1 = "${Bold}${Model}${Reset} in ${Cyan}${Dir}${Reset}"
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if ($Branch) {
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$Line1 += " on ${Yellow}⎇ ${Branch}${Reset}"
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}
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Write-Host $Line1
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# ═══════════════════════════════════════════════════════════════════════════════
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# LINE 2: RuVector Intelligence Stats
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# ═══════════════════════════════════════════════════════════════════════════════
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$IntelFile = $null
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$IntelPaths = @(
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"$CWD\.ruvector\intelligence.json",
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"$CWD\npm\packages\ruvector\.ruvector\intelligence.json",
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"$env:USERPROFILE\.ruvector\intelligence.json"
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)
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foreach ($path in $IntelPaths) {
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if (Test-Path $path) {
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$IntelFile = $path
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break
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}
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}
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if ($IntelFile) {
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$Intel = Get-Content $IntelFile -Raw | ConvertFrom-Json
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# Detect schema version
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$HasLearning = $Intel.PSObject.Properties.Name -contains "learning"
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if ($HasLearning) {
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# v2 Schema
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$PatternCount = 0
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if ($Intel.learning.qTables) {
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foreach ($table in $Intel.learning.qTables.PSObject.Properties) {
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$PatternCount += $table.Value.PSObject.Properties.Count
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}
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}
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$ActiveAlgos = 0
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$TotalAlgos = 0
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$BestAlgo = "none"
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$BestScore = 0
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if ($Intel.learning.stats) {
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$stats = $Intel.learning.stats.PSObject.Properties
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$TotalAlgos = $stats.Count
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foreach ($stat in $stats) {
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if ($stat.Value.updates -gt 0) {
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$ActiveAlgos++
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if ($stat.Value.convergenceScore -gt $BestScore) {
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$BestScore = $stat.Value.convergenceScore
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$BestAlgo = $stat.Name
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}
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}
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}
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}
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$RoutingAlgo = if ($Intel.learning.configs.'agent-routing'.algorithm) {
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$Intel.learning.configs.'agent-routing'.algorithm
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} else { "double-q" }
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$LearningRate = if ($Intel.learning.configs.'agent-routing'.learningRate) {
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$Intel.learning.configs.'agent-routing'.learningRate
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} else { 0.1 }
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$Epsilon = if ($Intel.learning.configs.'agent-routing'.epsilon) {
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$Intel.learning.configs.'agent-routing'.epsilon
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} else { 0.1 }
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$Schema = "v2"
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}
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else {
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# v1 Schema
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$PatternCount = if ($Intel.patterns) { $Intel.patterns.PSObject.Properties.Count } else { 0 }
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$TrajCount = if ($Intel.trajectories) { $Intel.trajectories.Count } else { 0 }
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$ActiveAlgos = 0
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$TotalAlgos = 0
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$BestAlgo = "none"
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$BestScore = 0
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$RoutingAlgo = "q-learning"
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$LearningRate = 0.1
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$Epsilon = 0.1
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$Schema = "v1"
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}
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# Common fields
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$MemoryCount = if ($Intel.memories) { $Intel.memories.Count } else { 0 }
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$TrajCount = if ($Intel.trajectories) { $Intel.trajectories.Count } else { 0 }
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$ErrorCount = if ($Intel.errors) { $Intel.errors.Count } else { 0 }
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$SessionCount = if ($Intel.stats.session_count) { $Intel.stats.session_count } else { 0 }
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# Build Line 2
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$Line2 = "${Magenta}🧠 RuVector${Reset}"
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if ($PatternCount -gt 0) {
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$Line2 += " ${Green}◆${Reset} $PatternCount patterns"
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} else {
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$Line2 += " ${Dim}◇ learning${Reset}"
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}
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if ($ActiveAlgos -gt 0) {
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$Line2 += " ${Cyan}⚙${Reset} $ActiveAlgos/$TotalAlgos algos"
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}
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if ($BestAlgo -ne "none") {
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$ShortAlgo = switch ($BestAlgo) {
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"double-q" { "DQ" }
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"q-learning" { "QL" }
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"actor-critic" { "AC" }
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"decision-transformer" { "DT" }
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"monte-carlo" { "MC" }
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"td-lambda" { "TD" }
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default { $BestAlgo.Substring(0,3) }
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}
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$ScorePct = [math]::Round($BestScore * 100)
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$ScoreColor = if ($ScorePct -ge 80) { $Green } elseif ($ScorePct -ge 50) { $Yellow } else { $Red }
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$Line2 += " ${ScoreColor}★${ShortAlgo}:${ScorePct}%${Reset}"
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}
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if ($MemoryCount -gt 0) {
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$Line2 += " ${Blue}⬡${Reset} $MemoryCount mem"
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}
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if ($TrajCount -gt 0) {
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$Line2 += " ${Yellow}↝${Reset}$TrajCount"
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}
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if ($ErrorCount -gt 0) {
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$Line2 += " ${Red}🔧${Reset}$ErrorCount"
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}
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if ($SessionCount -gt 0) {
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$Line2 += " ${Dim}#$SessionCount${Reset}"
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}
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Write-Host $Line2
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# ═══════════════════════════════════════════════════════════════════════════════
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# LINE 3: Agent Routing
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# ═══════════════════════════════════════════════════════════════════════════════
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$AlgoIcon = switch ($RoutingAlgo) {
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"double-q" { "⚡DQ" }
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"sarsa" { "🔄SA" }
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"actor-critic" { "🎭AC" }
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default { $RoutingAlgo }
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}
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$LrPct = [math]::Round($LearningRate * 100)
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$EpsPct = [math]::Round($Epsilon * 100)
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$Line3 = "${Blue}🎯 Routing${Reset} ${Cyan}${AlgoIcon}${Reset} lr:${LrPct}% ε:${EpsPct}%"
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Write-Host $Line3
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}
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else {
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Write-Host "${Dim}🧠 RuVector: run 'npx ruvector hooks session-start' to initialize${Reset}"
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}
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# ═══════════════════════════════════════════════════════════════════════════════
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# LINE 4: Claude Flow (if available)
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# ═══════════════════════════════════════════════════════════════════════════════
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$FlowDir = "$CWD\.claude-flow"
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if (Test-Path $FlowDir) {
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$FlowOutput = ""
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$SwarmConfig = "$FlowDir\swarm-config.json"
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if (Test-Path $SwarmConfig) {
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$Config = Get-Content $SwarmConfig -Raw | ConvertFrom-Json
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if ($Config.defaultStrategy) {
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$Topo = switch ($Config.defaultStrategy) {
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"balanced" { "mesh" }
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"conservative" { "hier" }
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"aggressive" { "ring" }
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default { $Config.defaultStrategy }
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}
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$FlowOutput += " ${Magenta}${Topo}${Reset}"
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}
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if ($Config.agentProfiles -and $Config.agentProfiles.Count -gt 0) {
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$FlowOutput += " ${Cyan}🤖$($Config.agentProfiles.Count)${Reset}"
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}
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}
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if ($FlowOutput) {
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Write-Host "${Dim}⚡ Flow:${Reset}$FlowOutput"
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}
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}
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