239 lines
10 KiB
PowerShell
239 lines
10 KiB
PowerShell
# d0a1 pack - OpenClaw (Windows)
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# Asistente de IA en tus chats. OpenClaw + Ollama.
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#
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# Local: .\deploy.ps1 local -> terminal + http://localhost:11434 (Ollama)
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# VPS: .\deploy.ps1 vps -> + gateway accesible desde fuera
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# Stop: .\deploy.ps1 stop -> para Ollama
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#
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# Requiere: Docker Desktop para Windows (https://docs.docker.com/desktop/)
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param(
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[Parameter(Position = 0)]
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[ValidateSet('local', 'vps', 'stop')]
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[string]$Mode = 'local'
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)
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$ErrorActionPreference = 'Stop'
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# Escape ANSI via [char]27 (compatible con Windows PowerShell 5.1 y PS 7+)
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$Esc = [char]27
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$Green = "$Esc[32m"; $Cyan = "$Esc[36m"; $Yellow = "$Esc[33m"; $Red = "$Esc[31m"; $Bold = "$Esc[1m"; $NC = "$Esc[0m"
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if ($env:NO_COLOR) {
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$Green = $Cyan = $Yellow = $Red = $Bold = $NC = ''
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}
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function Info($msg) { Write-Host "${Bold}${Green}>>>${NC} $msg" }
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function Warn($msg) { Write-Host "${Bold}${Yellow}>>>${NC} $msg" }
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function Err($msg) { Write-Host "${Bold}${Red}>>>${NC} $msg" }
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function Ok($msg) { Write-Host "${Green}OK${NC} $msg" }
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function Find-FreePort([int]$Start) {
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for ($p = $Start; $p -le ($Start + 20); $p++) {
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$inUse = Get-NetTCPConnection -LocalPort $p -State Listen -ErrorAction SilentlyContinue
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if (-not $inUse) { return $p }
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}
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return $Start
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}
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Write-Host ''
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Write-Host "${Bold}${Cyan}============================================================${NC}"
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Write-Host "${Bold}${Cyan} d0a1 pack - OpenClaw (Windows)${NC}"
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Write-Host "${Bold}${Cyan} Asistente de IA en tus chats.${NC}"
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Write-Host "${Bold}${Cyan}============================================================${NC}"
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Write-Host ''
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# --- Stop mode ------------------------------------------------------------
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if ($Mode -eq 'stop') {
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$running = docker ps --format '{{.Names}}' | Select-String -Quiet 'd0a1-openclaw-ollama'
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if ($running) {
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docker stop d0a1-openclaw-ollama | Out-Null
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docker rm d0a1-openclaw-ollama | Out-Null
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Info 'Ollama parado.'
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} else {
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Write-Host 'Ollama no esta corriendo.'
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}
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exit 0
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}
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# --- Check Docker (para Ollama) -------------------------------------------
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if (-not (Get-Command docker -ErrorAction SilentlyContinue)) {
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Err 'Docker no esta instalado (necesario para Ollama).'
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Write-Host ''
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Write-Host 'Instala Docker Desktop para Windows:'
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Write-Host ' https://docs.docker.com/desktop/setup/install/windows-install/'
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exit 1
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}
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# En PS 5.1, *> $null sobre comandos nativos convierte stderr en errores
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# terminantes con EAP=Stop (PS #4002). Se descarta via cmd /c.
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$null = cmd /c "docker info >NUL 2>&1"
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if ($LASTEXITCODE -ne 0) {
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Err 'Docker Desktop no responde. Abre Docker Desktop y espera a que arranque.'
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exit 1
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}
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Ok "Docker: $((docker --version) -replace 'Docker version ','' -replace ',.*','')"
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# --- Check RAM ------------------------------------------------------------
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$TotalRamGb = [math]::Round((Get-CimInstance Win32_ComputerSystem).TotalPhysicalMemory / 1GB, 1)
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if ($TotalRamGb -lt 3.5) {
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Err "Se necesitan 4 GB de RAM minimo (detectado: $TotalRamGb GB)."
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exit 1
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}
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Ok "RAM: $TotalRamGb GB"
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# --- Tumbar deploy previo (antes de detectar puertos) -----------------------
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cmd /c docker rm -f d0a1-openclaw-ollama '>' NUL '2>&1'
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Info 'Deploy previo detenido (rm; volumen con el modelo intacto).'
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# --- GPU NVIDIA? (si hay, Ollama la usa y va 5-10x mas rapido) ---------------
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$HasGpu = $false
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if (Get-Command nvidia-smi -ErrorAction SilentlyContinue) {
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$GpuInfo = & nvidia-smi --query-gpu=name,memory.total --format=csv,noheader 2>$null
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if ($LASTEXITCODE -eq 0 -and $GpuInfo) {
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$HasGpu = $true
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$GpuName = ($GpuInfo -split ',')[0].Trim()
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Info "GPU NVIDIA detectada: $GpuName (aceleracion activada)"
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}
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}
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if (-not $HasGpu) {
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Warn 'Sin GPU NVIDIA: modo CPU (~10-20 tokens/s). Con una GPU NVIDIA va 5-10x mas rapido.'
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}
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# --- Auto-detect Ollama port ------------------------------------------------
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$OllamaPort = Find-FreePort 11434
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if ($Mode -eq 'vps') {
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Warn 'Modo: VPS'
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Write-Host ''
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Write-Host " ${Bold}¿No tienes VPS?${NC} Consigue uno con descuento:"
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Write-Host " ${Cyan}https://d0a1.es/go/vultr/${NC} - Vultr"
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Write-Host " ${Cyan}https://d0a1.es/go/digitalocean/${NC} - DigitalOcean (`$200 credit)"
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Write-Host ''
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}
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if ($OllamaPort -ne 11434) { Warn "Puerto 11434 ocupado, usando $OllamaPort" }
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Write-Host ''
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# --- 1. Arrancar Ollama (Docker) -------------------------------------------
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Warn '[1/3] Arrancando Ollama (IA local)...'
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$running = docker ps --format '{{.Names}}' | Select-String -Quiet 'd0a1-openclaw-ollama'
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if (-not $running) {
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$GpuArgs = @()
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if ($HasGpu) { $GpuArgs = @('--gpus', 'all') }
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$CpuCap = [Math]::Min(6, [int]$env:NUMBER_OF_PROCESSORS)
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docker run -d --name d0a1-openclaw-ollama --memory 6g --cpus $CpuCap @GpuArgs `
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-p "${OllamaPort}:11434" `
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-v d0a1_openclaw_ollama:/root/.ollama `
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-e OLLAMA_HOST=0.0.0.0 `
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--restart unless-stopped `
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ollama/ollama:0.33.3 | Out-Null
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if ($LASTEXITCODE -ne 0) { Err 'Fallo al arrancar el contenedor de Ollama.'; exit 1 }
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}
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Warn ' Esperando a que Ollama arranque...'
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$MaxWait = 60; $Waited = 0
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while ($true) {
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# Descarte de stderr via cmd /c (ver nota de PS 5.1 / PS #4002 arriba)
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cmd /c "docker exec d0a1-openclaw-ollama ollama ps >NUL 2>&1"
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if ($LASTEXITCODE -eq 0) { break }
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Start-Sleep -Seconds 2
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$Waited += 2
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if ($Waited -ge $MaxWait) {
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Err 'Ollama no arranco. Revisa: docker logs d0a1-openclaw-ollama'
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exit 1
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}
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}
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Warn ' Descargando modelo (qwen3:4b, ~2.5 GB)...'
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# Si el usuario define $env:HTTPS_PROXY, Ollama lo usa para el pull (doc oficial):
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$ProxyEnv = @()
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if ($env:HTTPS_PROXY) { $ProxyEnv = @('-e', "HTTPS_PROXY=$env:HTTPS_PROXY", '-e', "HTTP_PROXY=$env:HTTP_PROXY") }
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# --- Modelo ya presente? (volumen persistente: no re-descargar) ------------
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$ModelList = docker exec d0a1-openclaw-ollama ollama list 2>$null
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if ("$ModelList" -match 'qwen3:4b') {
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Info 'Modelo qwen3:4b ya descargado (volumen intacto). Omitiendo descarga.'
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cmd /c docker exec d0a1-openclaw-ollama sh -c 'printf "FROM qwen3:4b\\nPARAMETER num_ctx 16384\\nSYSTEM /no_think\\n" > /tmp/mf && ollama create qwen3:4b -f /tmp/mf' '>' NUL '2>&1'
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} else {
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# --- Modelo: HF primero (CDN propio, rapido) y registry de Ollama como ultimo recurso ---
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$Gguf = Join-Path $ScriptDir 'qwen3-4b-q4.gguf'
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$HfUrls = @(
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'https://huggingface.co/Qwen/Qwen3-4B-GGUF/resolve/main/Qwen3-4B-Q4_K_M.gguf',
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'https://huggingface.co/unsloth/Qwen3-4B-GGUF/resolve/main/Qwen3-4B-Q4_K_M.gguf'
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)
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Info 'Descargando modelo de IA (qwen3:4b, ~2.5 GB)...'
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foreach ($Url in $HfUrls) {
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curl.exe -# -L --retry 3 --max-time 1800 -o "$Gguf" $Url
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if ($LASTEXITCODE -eq 0 -and (Test-Path $Gguf) -and (Get-Item $Gguf).Length -gt 2400000000) { break }
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Remove-Item "$Gguf" -Force -ErrorAction SilentlyContinue
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if ($Url -ne $HfUrls[-1]) { Warn 'Mirror no accesible, probando el siguiente...' }
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}
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if ((Test-Path $Gguf) -and (Get-Item $Gguf).Length -gt 2400000000) {
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Info 'Importando modelo en Ollama...'
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docker cp "$Gguf" d0a1-openclaw-ollama:/root/.ollama/import.gguf
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docker exec d0a1-openclaw-ollama sh -c 'printf "FROM /root/.ollama/import.gguf\\nPARAMETER num_ctx 16384\\nSYSTEM /no_think\\n" > /tmp/mf && ollama create qwen3:4b -f /tmp/mf'
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$CreateOk = ($LASTEXITCODE -eq 0)
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docker exec d0a1-openclaw-ollama rm -f /root/.ollama/import.gguf | Out-Null
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Remove-Item "$Gguf" -Force -ErrorAction SilentlyContinue
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$PullOk = $CreateOk
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if (-not $CreateOk) { Err 'Fallo al importar el modelo desde el GGUF.' }
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} else {
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# Ultimo recurso: pull directo (1 intento, ya sin esperar 3 rondas)
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Warn 'HuggingFace no accesible. Probando el registry de Ollama (ultimo recurso)...'
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docker exec @ProxyEnv d0a1-openclaw-ollama ollama pull qwen3:4b
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if ($LASTEXITCODE -eq 0) {
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$PullOk = $true
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# Contexto ampliado (el default 4096 da 400 en Open WebUI con prompts largos)
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docker exec d0a1-openclaw-ollama sh -c 'printf "FROM qwen3:4b\\nPARAMETER num_ctx 16384\\nSYSTEM /no_think\\n" > /tmp/mf && ollama create qwen3:4b -f /tmp/mf'
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}
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}
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if (-not $PullOk) {
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Err 'No se pudo descargar el modelo (ni HuggingFace ni registry).'
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if (-not $env:HTTPS_PROXY) {
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Write-Host ' Tu red bloquea ambos. Si tienes proxy/VPN:'
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Write-Host ' $env:HTTPS_PROXY = "http://127.0.0.1:7890" # (puerto de tu proxy)'
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Write-Host ' .\deploy.ps1 vps'
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}
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exit 1
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}
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}
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# --- Precalentar el modelo (load ya, no en el primer mensaje) ---------------
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Warn ' Precargando el modelo en memoria...'
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cmd /c docker exec d0a1-openclaw-ollama sh -c 'ollama run qwen3:4b ""' '>' NUL '2>&1'
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Ok "Ollama corriendo en http://localhost:${OllamaPort}"
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# --- 2. Instalar OpenClaw -----------------------------------------------------
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Warn '[2/3] Instalando OpenClaw...'
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if (Get-Command openclaw -ErrorAction SilentlyContinue) {
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Ok "OpenClaw ya instalado: $(cmd /c 'openclaw --version 2>NUL')"
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} else {
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# En Windows: instala con npm (Node 18+). El install.sh de Linux no aplica.
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Write-Host ' Instalando con npm (requiere Node.js 18+)...'
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npm install -g openclaw
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if ($LASTEXITCODE -ne 0 -or -not (Get-Command openclaw -ErrorAction SilentlyContinue)) {
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Err 'OpenClaw no se instalo. Instalalo manualmente:'
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Write-Host ' https://openclaw.ai/docs'
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exit 1
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}
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Ok "OpenClaw instalado: $(cmd /c 'openclaw --version 2>NUL')"
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}
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# --- 3. Configurar ------------------------------------------------------------
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Warn '[3/3] Configurando...'
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Write-Host ''
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Write-Host " ${Bold}Ejecuta estos comandos para terminar:${NC}"
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Write-Host ''
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Write-Host " ${Cyan}openclaw onboard --install-daemon${NC} - configuracion inicial"
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Write-Host " ${Cyan}openclaw gateway status${NC} - verifica el gateway"
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Write-Host " ${Cyan}openclaw dashboard${NC} - abre la UI"
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Write-Host ''
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Write-Host " ${Bold}Conecta tus chats (WhatsApp, Telegram, etc.):${NC}"
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Write-Host " ${Cyan}openclaw channel add whatsapp${NC}"
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Write-Host " ${Cyan}openclaw channel add telegram${NC}"
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Write-Host ''
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if ($Mode -eq 'vps') {
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Write-Host " ${Bold}Para VPS:${NC} configura el gateway para acceso remoto."
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Write-Host ''
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}
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Write-Host " ${Bold}Parar:${NC} .\deploy.ps1 stop"
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Write-Host " ${Bold}¿Quieres mas?${NC} ${Cyan}https://d0a1.es/packs/${NC}"
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Write-Host '' |