mirror of
https://github.com/tiennm99/goclaw.git
synced 2026-06-10 16:10:59 +00:00
49441f7305
- Remove handleDelegateAnnounce() dead code (no sender emits delegate:* messages) - Remove delegate tool reference from intent_classify.go - Rename LaneDelegate → LaneTeam with backward-compat env var fallback - Rename ChannelDelegate → ChannelTeammate across all team tool files - Comment out lifecycle guards in team_tasks_lifecycle.go (TODO: reviewer workflow) - Update string literals in cron.go, task_ticker.go - Gate tool_status placeholder_update to non-streaming runs only - Skip FinalizeStream on tool.call to prevent mid-run content loss
154 lines
4.8 KiB
Go
154 lines
4.8 KiB
Go
package agent
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import (
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"context"
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"strings"
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"time"
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"github.com/nextlevelbuilder/goclaw/internal/i18n"
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"github.com/nextlevelbuilder/goclaw/internal/providers"
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)
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// IntentType represents the classified intent of a user message.
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type IntentType string
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const (
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IntentStatusQuery IntentType = "status_query"
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IntentCancel IntentType = "cancel"
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IntentSteer IntentType = "steer"
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IntentNewTask IntentType = "new_task"
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)
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const intentClassifyTimeout = 5 * time.Second
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const intentSystemPrompt = `You are an intent classifier. The user has sent a message while the AI assistant is busy processing a previous request.
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Classify the user's intent into exactly ONE of these categories:
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- status_query: The user is asking about progress, status, or what the assistant is currently doing (e.g., "what are you doing?", "status?", "how far along?", "đang làm gì?", "bao giờ xong?")
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- cancel: The user wants to stop or cancel the current task (e.g., "stop", "cancel", "nevermind", "thôi", "dừng lại")
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- steer: The user wants to add instructions or redirect the current task (e.g., "also check X", "focus on Y instead", "thêm phần Z nữa")
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- new_task: The user is sending a new unrelated request or message
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Respond with ONLY the category name, nothing else.`
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// intentPatterns provides regex-free fast-path detection for common keywords.
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// Avoids LLM call for obvious patterns, saving cost and latency.
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var statusKeywords = []string{
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"status", "progress", "đang làm gì", "bao giờ xong", "做什么", "进度",
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"what are you doing", "how far", "?",
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}
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var cancelKeywords = []string{
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"stop", "cancel", "abort", "thôi", "dừng", "hủy", "取消", "停",
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"nevermind", "never mind",
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}
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// quickClassify attempts keyword-based classification before calling the LLM.
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// Returns (intent, true) if a match is found, or ("", false) to fall through to LLM.
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func quickClassify(msg string) (IntentType, bool) {
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lower := strings.ToLower(strings.TrimSpace(msg))
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// Short messages (< 30 chars) are more likely to be simple intents.
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if len(lower) > 60 {
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return "", false
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}
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for _, kw := range cancelKeywords {
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if strings.Contains(lower, kw) {
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return IntentCancel, true
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}
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}
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for _, kw := range statusKeywords {
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if strings.Contains(lower, kw) {
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return IntentStatusQuery, true
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}
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}
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return "", false
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}
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// ClassifyIntent determines the intent of a user message sent while the agent is busy.
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// Uses keyword fast-path first, then falls back to LLM classification.
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// Falls back to IntentNewTask on any error.
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func ClassifyIntent(ctx context.Context, provider providers.Provider, model, userMessage string) IntentType {
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// Fast-path: keyword matching for obvious patterns (no LLM cost).
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if intent, ok := quickClassify(userMessage); ok {
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return intent
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}
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ctx, cancel := context.WithTimeout(ctx, intentClassifyTimeout)
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defer cancel()
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resp, err := provider.Chat(ctx, providers.ChatRequest{
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Messages: []providers.Message{
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{Role: "system", Content: intentSystemPrompt},
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{Role: "user", Content: userMessage},
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},
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Model: model,
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Options: map[string]any{
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providers.OptMaxTokens: 20,
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providers.OptTemperature: 0.0,
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},
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})
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if err != nil {
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return IntentNewTask
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}
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result := strings.TrimSpace(strings.ToLower(resp.Content))
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switch {
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case strings.Contains(result, "status_query"):
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return IntentStatusQuery
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case strings.Contains(result, "cancel"):
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return IntentCancel
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case strings.Contains(result, "steer"):
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return IntentSteer
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default:
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return IntentNewTask
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}
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}
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// FormatStatusReply builds a user-friendly status response from the current agent activity.
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func FormatStatusReply(status *AgentActivityStatus, locale string) string {
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if status == nil {
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return i18n.T(locale, i18n.MsgStatusWorking)
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}
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elapsed := time.Since(status.StartedAt).Round(time.Second)
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phase := formatPhase(status.Phase, status.Tool, locale)
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return i18n.T(locale, i18n.MsgStatusDetailed, phase, status.Iteration, elapsed)
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}
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// formatPhase returns a human-readable phase description.
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func formatPhase(phase, tool, locale string) string {
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switch phase {
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case "thinking":
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return i18n.T(locale, i18n.MsgStatusPhaseThinking)
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case "tool_exec":
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if tool != "" {
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return i18n.T(locale, i18n.MsgStatusPhaseToolExec, formatToolLabel(tool))
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}
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return i18n.T(locale, i18n.MsgStatusPhaseTools)
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case "compacting":
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return i18n.T(locale, i18n.MsgStatusPhaseCompact)
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default:
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return i18n.T(locale, i18n.MsgStatusPhaseDefault)
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}
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}
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// formatToolLabel returns a user-friendly label for a tool name.
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func formatToolLabel(tool string) string {
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switch {
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case strings.HasPrefix(tool, "web"):
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return "web search"
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case tool == "exec":
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return "code execution"
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case tool == "browser":
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return "browser"
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case tool == "spawn":
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return "delegation"
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case strings.HasPrefix(tool, "memory"):
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return "memory"
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case strings.HasPrefix(tool, "file"):
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return "file operations"
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default:
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return tool
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}
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}
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