246 lines
6.2 KiB
Go
246 lines
6.2 KiB
Go
package agent
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import (
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"context"
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"fmt"
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"strings"
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"time"
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"github.com/openai/openai-go"
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oaioption "github.com/openai/openai-go/option"
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"llm-agent/prd"
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)
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const (
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baseURL = "http://127.0.0.1:12434/v1"
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maxRetries = 3
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maxTurns = 10
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)
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var systemPrompt = `Du bist ein autonomer Coding-Agent.
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Erledige den gegebenen Task vollständig mit den bereitgestellten Tools.
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Rufe task_complete auf sobald der Task erledigt ist.
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Nutze ausschließlich relative Pfade.`
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type AgentLoop struct {
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client *openai.Client
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model string
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workDir string
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prdFile string
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log *Logger
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}
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func NewAgentLoop(model, workDir, prdFile string, verbose bool) *AgentLoop {
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client := openai.NewClient(
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oaioption.WithBaseURL(baseURL),
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oaioption.WithAPIKey("ollama"),
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)
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return &AgentLoop{
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client: &client,
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model: model,
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workDir: workDir,
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prdFile: prdFile,
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log: NewLogger(verbose),
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}
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}
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func (a *AgentLoop) Run() error {
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tasks, err := prd.ParseTasks(a.prdFile)
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if err != nil {
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return fmt.Errorf("PRD lesen fehlgeschlagen: %w", err)
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}
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pending := 0
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for _, t := range tasks {
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if !t.Completed {
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pending++
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}
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}
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a.log.Info("📋 %d Tasks gefunden, %d offen", len(tasks), pending)
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for _, task := range tasks {
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if task.Completed {
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a.log.Info("✅ Überspringe (bereits erledigt): %s", task.Title)
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continue
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}
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a.log.TaskStart(task.Title)
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success := false
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var lastErr error
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for attempt := 1; attempt <= maxRetries; attempt++ {
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if attempt > 1 {
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a.log.Info("🔁 Retry %d/%d...", attempt, maxRetries)
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time.Sleep(time.Duration(attempt) * 2 * time.Second)
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}
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if err := a.runTask(task); err == nil {
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success = true
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break
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} else {
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lastErr = err
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a.log.Info("⚠️ Fehler: %v", err)
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}
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}
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if success {
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prd.MarkTaskComplete(a.prdFile, task.Title)
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a.log.TaskDone(task.Title)
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} else {
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a.log.TaskFailed(task.Title, maxRetries)
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_ = lastErr
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}
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}
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a.log.Info("\n🎉 Alle Tasks abgearbeitet!")
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return nil
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}
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func (a *AgentLoop) runTask(task prd.Task) error {
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executor := NewToolExecutor(a.workDir)
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// Frischer Kontext pro Task
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messages := []openai.ChatCompletionMessageParamUnion{
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openai.SystemMessage(systemPrompt),
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openai.UserMessage(fmt.Sprintf(
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"Task: %s\nArbeitsverzeichnis: %s",
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task.Title, a.workDir,
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)),
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}
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a.log.ChatMessage("system", systemPrompt)
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a.log.ChatMessage("user", fmt.Sprintf(
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"Task: %s\nArbeitsverzeichnis: %s",
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task.Title, a.workDir,
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))
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for turn := 0; turn < maxTurns; turn++ {
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a.log.Turn(turn + 1)
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totalChars := 0
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for _, m := range messages {
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totalChars += len(fmt.Sprintf("%v", m))
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}
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start := time.Now()
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a.log.Debug("MODEL REQUEST: model=%s ~%d Zeichen\n%s",
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a.model, totalChars, formatMessages(messages))
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ctx, cancel := context.WithTimeout(context.Background(), 5*time.Minute)
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resp, err := a.client.Chat.Completions.New(
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ctx,
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openai.ChatCompletionNewParams{
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Model: a.model,
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Messages: messages,
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Tools: Tools, // ← Tool Calling
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},
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)
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cancel()
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elapsed := time.Since(start)
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if resp != nil && len(resp.Choices) > 0 {
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a.log.Debug("MODEL RESPONSE\n%s", formatResponse(resp, elapsed))
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}
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if err != nil {
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return fmt.Errorf("API-Fehler (~%d Zeichen): %w", totalChars, err)
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}
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choice := resp.Choices[0]
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// Antwort zur History hinzufügen
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messages = append(messages, choice.Message.ToParam())
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// Kein Tool-Call → LLM hat nur Text geantwortet
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if len(choice.Message.ToolCalls) == 0 {
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a.log.ChatMessage("assistant", choice.Message.Content)
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nudge := "Nutze die bereitgestellten Tools. Rufe task_complete auf wenn du fertig bist."
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a.log.ChatMessage("user", nudge)
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messages = append(messages, openai.UserMessage(nudge))
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continue
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}
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// Tool-Calls ausführen
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for _, toolCall := range choice.Message.ToolCalls {
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a.log.Info(" 🔧 %s(%s)", toolCall.Function.Name,
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truncate(toolCall.Function.Arguments, 80))
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result, done := executor.Execute(toolCall)
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a.log.ChatMessage("tool",
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fmt.Sprintf("%s → %s", toolCall.Function.Name, result))
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// Tool-Ergebnis zurück ans LLM
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messages = append(messages, openai.ToolMessage(result, toolCall.ID))
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if done {
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return nil // task_complete aufgerufen → Erfolg
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}
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}
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}
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return fmt.Errorf("maximale Turns (%d) erreicht", maxTurns)
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}
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// ─── Hilfsfunktionen ─────────────────────────────────────
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func truncate(s string, max int) string {
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if len(s) <= max {
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return s
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}
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return s[:max] + "..."
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}
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func formatMessages(messages []openai.ChatCompletionMessageParamUnion) string {
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var sb strings.Builder
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for i, m := range messages {
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var role, content string
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switch {
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case m.OfSystem != nil:
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role = "system"
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content = m.OfSystem.Content.OfString.Value
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case m.OfUser != nil:
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role = "user"
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content = m.OfUser.Content.OfString.Value
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case m.OfAssistant != nil:
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role = "assistant"
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content = m.OfAssistant.Content.OfString.Value
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default:
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role = "other"
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}
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preview := strings.ReplaceAll(truncate(content, 120), "\n", "↵")
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sb.WriteString(fmt.Sprintf(" [%d] %-10s : %s\n", i, role, preview))
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}
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return sb.String()
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}
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func formatResponse(resp *openai.ChatCompletion, elapsed time.Duration) string {
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var sb strings.Builder
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sb.WriteString(fmt.Sprintf(" ID : %s\n", resp.ID))
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sb.WriteString(fmt.Sprintf(" Modell : %s\n", resp.Model))
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sb.WriteString(fmt.Sprintf(" Elapsed : %s\n", elapsed.Round(time.Millisecond)))
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sb.WriteString(fmt.Sprintf(" Finish-Reason : %s\n", resp.Choices[0].FinishReason))
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sb.WriteString(fmt.Sprintf(" Tokens : prompt=%d completion=%d total=%d\n",
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resp.Usage.PromptTokens,
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resp.Usage.CompletionTokens,
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resp.Usage.TotalTokens,
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))
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// Tool-Calls anzeigen
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if len(resp.Choices[0].Message.ToolCalls) > 0 {
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sb.WriteString(" Tool-Calls :\n")
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for _, tc := range resp.Choices[0].Message.ToolCalls {
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sb.WriteString(fmt.Sprintf(" → %s(%s)\n",
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tc.Function.Name,
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truncate(tc.Function.Arguments, 100),
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))
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}
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} else {
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content := resp.Choices[0].Message.Content
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sb.WriteString(" Content :\n")
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for _, line := range strings.Split(content, "\n") {
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sb.WriteString(fmt.Sprintf(" %s\n", line))
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}
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}
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return sb.String()
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}
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