Files
MuyueWorkspace/internal/api/handlers_shell_chat.go
Augustin f9c4cf11ff
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feat(shell): dedicated System Analyst AI, no code execution, analyze system
- New ShellConvStore with persistent history (shell_conversation.json)
- 100k token limit — input grays out, must /clear to continue
- Commands limited to /clear and /help only
- Shell AI has NO tools — read-only analysis, never executes code
- "Analyste Système" panel with system analysis button
- System analysis uses Studio AI to write system_analysis.md,
  prepended as context on every conversation start
- Code blocks show "Copier" and "Terminal" buttons to copy or
  send code directly to the active terminal via WebSocket
- Token bar shows usage with warning at 80%

💘 Generated with Crush

Assisted-by: GLM-5.1 via Crush <crush@charm.land>
2026-04-23 21:50:06 +02:00

280 lines
7.7 KiB
Go

package api
import (
"encoding/json"
"fmt"
"net/http"
"os"
"os/exec"
"runtime"
"strings"
"github.com/muyue/muyue/internal/agent"
"github.com/muyue/muyue/internal/orchestrator"
)
type ShellChatRequest struct {
Message string `json:"message"`
Context string `json:"context,omitempty"`
Cwd string `json:"cwd,omitempty"`
Platform string `json:"platform,omitempty"`
Stream bool `json:"stream"`
}
func (s *Server) handleShellChat(w http.ResponseWriter, r *http.Request) {
if r.Method != "POST" {
writeError(w, "POST only", http.StatusMethodNotAllowed)
return
}
if s.shellConvStore.AtLimit() {
writeError(w, "context limit reached, use /clear", http.StatusBadRequest)
return
}
var req ShellChatRequest
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
writeError(w, err.Error(), http.StatusBadRequest)
return
}
if req.Message == "" {
writeError(w, "message is required", http.StatusBadRequest)
return
}
s.shellConvStore.Add("user", req.Message)
orb, err := orchestrator.New(s.config)
if err != nil {
writeError(w, err.Error(), http.StatusServiceUnavailable)
return
}
orb.SetSystemPrompt(s.buildShellSystemPromptV2(req))
if req.Stream {
s.handleShellChatStreamV2(w, orb)
} else {
s.handleShellChatNonStreamV2(w, orb)
}
}
func (s *Server) buildShellSystemPromptV2(_ ShellChatRequest) string {
var sb strings.Builder
sb.WriteString(`Tu es l'Analyste Système de Muyue. Tu es un expert en administration système et développement.
Tu aides l'utilisateur à comprendre son système, diagnostiquer des problèmes, et optimiser son environnement.
RÈGLES STRICTES:
- Tu ne peux JAMAIS exécuter de commande ou de code
- Tu ne peux que analyser, expliquer, et proposer des solutions
- Quand tu proposes du code ou des commandes, mets-les dans des blocs de code markdown avec le langage spécifié
- L'utilisateur pourra les copier ou les envoyer directement au terminal depuis les boutons
`)
analysis := LoadSystemAnalysis()
if analysis != "" {
sb.WriteString("=== ANALYSE SYSTÈME ACTUELLE ===\n")
sb.WriteString(analysis)
sb.WriteString("\n=== FIN DE L'ANALYSE ===\n\n")
}
sb.WriteString(fmt.Sprintf("OS: %s/%s\n", runtime.GOOS, runtime.GOARCH))
if hostname, err := os.Hostname(); err == nil {
sb.WriteString("Hostname: " + hostname + "\n")
}
return sb.String()
}
func (s *Server) handleShellChatStreamV2(w http.ResponseWriter, orb *orchestrator.Orchestrator) {
SetupSSEHeaders(w)
flusher, canFlush := w.(http.Flusher)
sseWriter := NewSSEWriter(w)
// Rebuild history into orchestrator
history := s.shellConvStore.Get()
for _, m := range history[:len(history)-1] { // all except last user msg
if m.Role == "system" {
continue
}
// Pre-load orchestrator history
orb.AppendHistory(orchestrator.Message{Role: m.Role, Content: m.Content})
}
lastUserMsg := history[len(history)-1].Content
var finalContent string
result, err := orb.SendStream(lastUserMsg, func(chunk string) {
finalContent = chunk
sseWriter.Write(map[string]interface{}{"content": chunk})
if canFlush {
flusher.Flush()
}
})
if err != nil {
sseWriter.Write(map[string]interface{}{"error": err.Error()})
return
}
content := result
if content == "" {
content = finalContent
}
s.shellConvStore.Add("assistant", cleanThinkingTags(content))
sseWriter.Write(map[string]interface{}{
"done": "true",
"tokens": s.shellConvStore.ApproxTokens(),
})
}
func (s *Server) handleShellChatNonStreamV2(w http.ResponseWriter, orb *orchestrator.Orchestrator) {
history := s.shellConvStore.Get()
for _, m := range history[:len(history)-1] {
if m.Role == "system" {
continue
}
orb.AppendHistory(orchestrator.Message{Role: m.Role, Content: m.Content})
}
lastUserMsg := history[len(history)-1].Content
result, err := orb.Send(lastUserMsg)
if err != nil {
writeError(w, err.Error(), http.StatusInternalServerError)
return
}
s.shellConvStore.Add("assistant", cleanThinkingTags(result))
writeJSON(w, map[string]interface{}{
"content": result,
"tokens": s.shellConvStore.ApproxTokens(),
})
}
func (s *Server) handleShellChatHistory(w http.ResponseWriter, r *http.Request) {
if r.Method != "GET" {
writeError(w, "GET only", http.StatusMethodNotAllowed)
return
}
messages := s.shellConvStore.Get()
writeJSON(w, map[string]interface{}{
"messages": messages,
"tokens": s.shellConvStore.ApproxTokens(),
"max_tokens": shellMaxTokens,
"at_limit": s.shellConvStore.AtLimit(),
})
}
func (s *Server) handleShellChatClear(w http.ResponseWriter, r *http.Request) {
if r.Method != "POST" {
writeError(w, "POST only", http.StatusMethodNotAllowed)
return
}
s.shellConvStore.Clear()
writeJSON(w, map[string]interface{}{
"status": "ok",
"tokens": 0,
})
}
func (s *Server) handleShellAnalyze(w http.ResponseWriter, r *http.Request) {
if r.Method != "POST" {
writeError(w, "POST only", http.StatusMethodNotAllowed)
return
}
var sysInfo strings.Builder
sysInfo.WriteString("=== INFORMATIONS SYSTÈME ===\n")
sysInfo.WriteString(fmt.Sprintf("OS: %s/%s\n", runtime.GOOS, runtime.GOARCH))
if hostname, err := os.Hostname(); err == nil {
sysInfo.WriteString("Hostname: " + hostname + "\n")
}
if user := os.Getenv("USER"); user != "" {
sysInfo.WriteString("User: " + user + "\n")
}
if data, err := os.ReadFile("/proc/cpuinfo"); err == nil {
for _, line := range strings.Split(string(data), "\n") {
if strings.HasPrefix(line, "model name") {
sysInfo.WriteString("CPU: " + strings.SplitN(line, ":", 2)[1] + "\n")
break
}
}
}
if data, err := os.ReadFile("/proc/meminfo"); err == nil {
for _, line := range strings.Split(string(data), "\n") {
if strings.HasPrefix(line, "MemTotal:") || strings.HasPrefix(line, "MemAvailable:") {
sysInfo.WriteString(strings.TrimSpace(line) + "\n")
}
}
}
if out, err := exec.Command("df", "-h", "/").Output(); err == nil {
lines := strings.Split(string(out), "\n")
if len(lines) >= 2 {
sysInfo.WriteString("Disk: " + strings.TrimSpace(lines[1]) + "\n")
}
}
if out, err := exec.Command("ps", "aux", "--sort=-pcpu").Output(); err == nil {
lines := strings.Split(string(out), "\n")
sysInfo.WriteString(fmt.Sprintf("\nProcessus actifs (%d total):\n", len(lines)-1))
for i := 1; i < len(lines) && i <= 10; i++ {
fields := strings.Fields(lines[i])
if len(fields) >= 11 {
sysInfo.WriteString(fmt.Sprintf(" %-20s CPU:%-6s MEM:%-6s %s\n", fields[10], fields[2]+"%", fields[3]+"%", fields[0]))
}
}
}
if s.scanResult != nil {
sysInfo.WriteString("\nOutils installés:\n")
for _, t := range s.scanResult.Tools {
status := "✗"
if t.Installed {
status = "✓"
}
sysInfo.WriteString(fmt.Sprintf(" %s %s %s\n", status, t.Name, t.Version))
}
}
orb, err := orchestrator.New(s.config)
if err != nil {
writeError(w, err.Error(), http.StatusServiceUnavailable)
return
}
orb.SetSystemPrompt(agent.StudioSystemPrompt())
analysisPrompt := `Tu es un expert en administration système. Analyse les informations suivantes sur le système de l'utilisateur.
Génère un rapport d'analyse concis et structuré en markdown qui inclut:
1. Un résumé de l'état du système
2. Les points d'attention (performance, sécurité, configuration)
3. Des recommandations spécifiques d'optimisation
4. Les outils manquants qui pourraient être utiles
5. L'état du réseau et des connexions
Sois concret et technique. Le rapport sera utilisé comme contexte pour un assistant terminal.
` + sysInfo.String()
result, err := orb.Send(analysisPrompt)
if err != nil {
writeError(w, "analysis failed: "+err.Error(), http.StatusInternalServerError)
return
}
SaveSystemAnalysis(result)
writeJSON(w, map[string]interface{}{
"status": "ok",
"analysis": result,
})
}