261331c191
- Fix session key collision: honor any pre-set session key, not just
"agent:" prefix, so cron jobs use their own session
- Add per-session semaphore lock to prevent concurrent access on the
same session key
- Replace simple "🔧 exec (3/20)" status with rich terminal view
showing a sliding window of last 5 tool calls with timing, project
name, and error details
- Add IsTaskStatus/TaskID to OutboundMessage for background task
status tracking (send new message, then edit in-place)
- Telegram: track task status messages, detect reply-to for
intervention routing
- Channel manager: dispatch IsTaskStatus messages to channels
- Reply-based intervention: reply "stop/cancel/abort/停止/中止/やめて"
to cancel, or any other text to inject into the LLM context
- Background task notifications: auto-notify user's last active
channel when cron/cli tasks start and complete
- Smart arg snippets: strip "cd <workspace> && " from exec commands,
show relative paths for file tools
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2151 lines
67 KiB
Go
2151 lines
67 KiB
Go
// PicoClaw - Ultra-lightweight personal AI agent
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// Inspired by and based on nanobot: https://github.com/HKUDS/nanobot
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// License: MIT
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//
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// Copyright (c) 2026 PicoClaw contributors
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package agent
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import (
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"context"
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"encoding/json"
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"fmt"
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"regexp"
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"strconv"
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"strings"
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"sync"
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"sync/atomic"
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"time"
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"unicode/utf8"
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"github.com/sipeed/picoclaw/pkg/bus"
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"github.com/sipeed/picoclaw/pkg/channels"
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"github.com/sipeed/picoclaw/pkg/config"
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"github.com/sipeed/picoclaw/pkg/constants"
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"github.com/sipeed/picoclaw/pkg/logger"
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"github.com/sipeed/picoclaw/pkg/providers"
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"github.com/sipeed/picoclaw/pkg/routing"
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"github.com/sipeed/picoclaw/pkg/skills"
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"github.com/sipeed/picoclaw/pkg/state"
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"github.com/sipeed/picoclaw/pkg/stats"
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"github.com/sipeed/picoclaw/pkg/tools"
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"github.com/sipeed/picoclaw/pkg/utils"
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)
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// activeTask tracks a running agent task for live status and intervention.
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type activeTask struct {
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Description string
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Iteration int
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MaxIter int
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StartedAt time.Time
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cancel context.CancelFunc
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interrupt chan string // buffered 1, for user message injection
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toolLog []toolLogEntry
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mu sync.Mutex
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}
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// toolLogEntry records a single tool call for the live terminal view.
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type toolLogEntry struct {
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Name string
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ArgsSnip string // first ~80 chars of args
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Result string // "✓ 4.9s" or "✗ 3.2s"
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ErrDetail string // non-empty on error — e.g. "Exit code: exit status 1"
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}
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// maxToolLogEntries limits the sliding window of tool log entries
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// kept in memory and displayed in status messages.
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const maxToolLogEntries = 5
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// sessionSemaphore is a per-session mutex using a buffered channel.
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type sessionSemaphore struct {
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ch chan struct{}
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}
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func newSessionSemaphore() *sessionSemaphore {
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s := &sessionSemaphore{ch: make(chan struct{}, 1)}
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s.ch <- struct{}{} // initially unlocked
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return s
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}
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type AgentLoop struct {
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bus *bus.MessageBus
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cfg *config.Config
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registry *AgentRegistry
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state *state.Manager
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stats *stats.Tracker // nil when --stats not passed
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running atomic.Bool
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summarizing sync.Map
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fallback *providers.FallbackChain
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channelManager *channels.Manager
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providerCache map[string]providers.LLMProvider
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planStartPending bool // set by /plan start to trigger LLM execution
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sessionLocks sync.Map // sessionKey → *sessionSemaphore
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activeTasks sync.Map // sessionKey → *activeTask
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}
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// processOptions configures how a message is processed
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type processOptions struct {
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SessionKey string // Session identifier for history/context
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Channel string // Target channel for tool execution
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ChatID string // Target chat ID for tool execution
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UserMessage string // User message content (may include prefix)
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HistoryMessage string // If set, save this to history instead of UserMessage (for skill compaction)
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DefaultResponse string // Response when LLM returns empty
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EnableSummary bool // Whether to trigger summarization
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SendResponse bool // Whether to send response via bus
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NoHistory bool // If true, don't load session history (for heartbeat)
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TaskID string // Unique task ID for background task status tracking
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}
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func NewAgentLoop(cfg *config.Config, msgBus *bus.MessageBus, provider providers.LLMProvider, enableStats ...bool) *AgentLoop {
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registry := NewAgentRegistry(cfg, provider)
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// Register shared tools to all agents
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registerSharedTools(cfg, msgBus, registry, provider)
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// Set up shared fallback chain
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cooldown := providers.NewCooldownTracker()
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fallbackChain := providers.NewFallbackChain(cooldown)
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// Create state manager using default agent's workspace for channel recording
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defaultAgent := registry.GetDefaultAgent()
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var stateManager *state.Manager
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if defaultAgent != nil {
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stateManager = state.NewManager(defaultAgent.Workspace)
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}
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providerCache := make(map[string]providers.LLMProvider)
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// Create stats tracker if enabled
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var statsTracker *stats.Tracker
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if len(enableStats) > 0 && enableStats[0] && defaultAgent != nil {
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statsTracker = stats.NewTracker(defaultAgent.Workspace)
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}
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return &AgentLoop{
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bus: msgBus,
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cfg: cfg,
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registry: registry,
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state: stateManager,
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stats: statsTracker,
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summarizing: sync.Map{},
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fallback: fallbackChain,
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providerCache: providerCache,
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}
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}
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// registerSharedTools registers tools that are shared across all agents (web, message, spawn).
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func registerSharedTools(
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cfg *config.Config,
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msgBus *bus.MessageBus,
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registry *AgentRegistry,
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provider providers.LLMProvider,
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) {
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for _, agentID := range registry.ListAgentIDs() {
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agent, ok := registry.GetAgent(agentID)
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if !ok {
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continue
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}
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// Web tools
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if searchTool := tools.NewWebSearchTool(tools.WebSearchToolOptions{
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BraveAPIKey: cfg.Tools.Web.Brave.APIKey,
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BraveMaxResults: cfg.Tools.Web.Brave.MaxResults,
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BraveEnabled: cfg.Tools.Web.Brave.Enabled,
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DuckDuckGoMaxResults: cfg.Tools.Web.DuckDuckGo.MaxResults,
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DuckDuckGoEnabled: cfg.Tools.Web.DuckDuckGo.Enabled,
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PerplexityAPIKey: cfg.Tools.Web.Perplexity.APIKey,
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PerplexityMaxResults: cfg.Tools.Web.Perplexity.MaxResults,
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PerplexityEnabled: cfg.Tools.Web.Perplexity.Enabled,
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}); searchTool != nil {
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agent.Tools.Register(searchTool)
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}
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agent.Tools.Register(tools.NewWebFetchTool(50000))
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// Hardware tools (I2C, SPI) - Linux only, returns error on other platforms
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agent.Tools.Register(tools.NewI2CTool())
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agent.Tools.Register(tools.NewSPITool())
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// Message tool
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messageTool := tools.NewMessageTool()
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messageTool.SetSendCallback(func(channel, chatID, content string) error {
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msgBus.PublishOutbound(bus.OutboundMessage{
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Channel: channel,
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ChatID: chatID,
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Content: content,
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})
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return nil
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})
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agent.Tools.Register(messageTool)
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// Skill discovery and installation tools
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registryMgr := skills.NewRegistryManagerFromConfig(skills.RegistryConfig{
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MaxConcurrentSearches: cfg.Tools.Skills.MaxConcurrentSearches,
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ClawHub: skills.ClawHubConfig(cfg.Tools.Skills.Registries.ClawHub),
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})
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searchCache := skills.NewSearchCache(
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cfg.Tools.Skills.SearchCache.MaxSize,
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time.Duration(cfg.Tools.Skills.SearchCache.TTLSeconds)*time.Second,
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)
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agent.Tools.Register(tools.NewFindSkillsTool(registryMgr, searchCache))
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agent.Tools.Register(tools.NewInstallSkillTool(registryMgr, agent.Workspace))
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// Spawn tool with allowlist checker
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subagentManager := tools.NewSubagentManager(provider, agent.Model, agent.Workspace, msgBus)
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subagentManager.SetLLMOptions(agent.MaxTokens, agent.Temperature)
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spawnTool := tools.NewSpawnTool(subagentManager)
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currentAgentID := agentID
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spawnTool.SetAllowlistChecker(func(targetAgentID string) bool {
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return registry.CanSpawnSubagent(currentAgentID, targetAgentID)
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})
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agent.Tools.Register(spawnTool)
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// Update context builder with the complete tools registry
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agent.ContextBuilder.SetToolsRegistry(agent.Tools)
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}
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}
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func (al *AgentLoop) Run(ctx context.Context) error {
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al.running.Store(true)
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// LLM work is dispatched to a background worker so the main loop
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// stays free to handle slash commands (/skills, …) instantly,
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// even while a long tool-call chain is running.
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llmQueue := make(chan bus.InboundMessage, 10)
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workerDone := make(chan struct{})
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go func() {
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defer close(workerDone)
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al.llmWorker(ctx, llmQueue)
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}()
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defer func() {
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close(llmQueue)
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<-workerDone
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}()
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for al.running.Load() {
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select {
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case <-ctx.Done():
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return nil
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default:
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}
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msg, ok := al.bus.ConsumeInbound(ctx)
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if !ok {
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continue
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}
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// Fast path: handle slash commands immediately without blocking the LLM worker.
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if response, handled := al.handleCommand(ctx, msg); handled {
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if response != "" {
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al.bus.PublishOutbound(bus.OutboundMessage{
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Channel: msg.Channel,
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ChatID: msg.ChatID,
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Content: response,
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SkipPlaceholder: true,
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})
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}
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// /plan start sets the flag — enqueue a synthetic message so
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// the LLM worker actually begins executing the plan.
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if al.planStartPending {
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al.planStartPending = false
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select {
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case llmQueue <- bus.InboundMessage{
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Channel: msg.Channel,
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ChatID: msg.ChatID,
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SenderID: msg.SenderID,
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SessionKey: msg.SessionKey,
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Content: "The plan has been approved. Begin executing.",
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Metadata: msg.Metadata,
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}:
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case <-ctx.Done():
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return nil
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}
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}
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continue
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}
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// Dispatch to LLM worker
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select {
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case llmQueue <- msg:
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case <-ctx.Done():
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return nil
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}
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}
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return nil
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}
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// llmWorker processes LLM messages sequentially in a background goroutine.
|
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func (al *AgentLoop) llmWorker(ctx context.Context, queue <-chan bus.InboundMessage) {
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for msg := range queue {
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if ctx.Err() != nil {
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return
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}
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response, err := al.processMessage(ctx, msg)
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if err != nil {
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response = fmt.Sprintf("Error processing message: %v", err)
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}
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if response != "" {
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alreadySent := false
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defaultAgent := al.registry.GetDefaultAgent()
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if defaultAgent != nil {
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if tool, ok := defaultAgent.Tools.Get("message"); ok {
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if mt, ok := tool.(*tools.MessageTool); ok {
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alreadySent = mt.HasSentInRound()
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}
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}
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}
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if !alreadySent {
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al.bus.PublishOutbound(bus.OutboundMessage{
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Channel: msg.Channel,
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ChatID: msg.ChatID,
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Content: response,
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})
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}
|
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}
|
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}
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}
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func (al *AgentLoop) Stop() {
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al.running.Store(false)
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}
|
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|
|
func (al *AgentLoop) RegisterTool(tool tools.Tool) {
|
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for _, agentID := range al.registry.ListAgentIDs() {
|
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if agent, ok := al.registry.GetAgent(agentID); ok {
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agent.Tools.Register(tool)
|
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}
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}
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}
|
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|
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func (al *AgentLoop) SetChannelManager(cm *channels.Manager) {
|
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al.channelManager = cm
|
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}
|
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|
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// resolveProvider returns the LLMProvider for the given provider/model pair.
|
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// It caches created providers by "provider/model" key so each combination is
|
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// only resolved once. Looks up model_list first (new format), then falls back
|
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// to the legacy providers section via CreateProviderByName.
|
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func (al *AgentLoop) resolveProvider(providerName, modelName string, fallback providers.LLMProvider) providers.LLMProvider {
|
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key := strings.ToLower(providerName + "/" + modelName)
|
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if key == "/" {
|
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return fallback
|
|
}
|
|
if p, ok := al.providerCache[key]; ok {
|
|
return p
|
|
}
|
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|
|
// Try model_list first (new config format).
|
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if mc := al.cfg.FindModelConfigByRef(providerName, modelName); mc != nil {
|
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p, _, err := providers.CreateProviderFromConfig(mc)
|
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if err == nil {
|
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al.providerCache[key] = p
|
|
return p
|
|
}
|
|
logger.WarnCF("agent", "Failed to create provider from model_list, trying legacy",
|
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map[string]interface{}{"provider": providerName, "model": modelName, "error": err.Error()})
|
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}
|
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|
|
// Fall back to legacy providers section.
|
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p, err := providers.CreateProviderByName(al.cfg, providerName)
|
|
if err != nil {
|
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logger.WarnCF("agent", "Failed to create provider for fallback, using primary",
|
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map[string]interface{}{"provider": providerName, "error": err.Error()})
|
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return fallback
|
|
}
|
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al.providerCache[key] = p
|
|
return p
|
|
}
|
|
|
|
// RecordLastChannel records the last active channel for this workspace.
|
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// This uses the atomic state save mechanism to prevent data loss on crash.
|
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func (al *AgentLoop) RecordLastChannel(channel string) error {
|
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if al.state == nil {
|
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return nil
|
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}
|
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return al.state.SetLastChannel(channel)
|
|
}
|
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|
|
// RecordLastChatID records the last active chat ID for this workspace.
|
|
// This uses the atomic state save mechanism to prevent data loss on crash.
|
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func (al *AgentLoop) RecordLastChatID(chatID string) error {
|
|
if al.state == nil {
|
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return nil
|
|
}
|
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return al.state.SetLastChatID(chatID)
|
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}
|
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|
|
func (al *AgentLoop) ProcessDirect(ctx context.Context, content, sessionKey string) (string, error) {
|
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return al.ProcessDirectWithChannel(ctx, content, sessionKey, "cli", "direct")
|
|
}
|
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|
|
func (al *AgentLoop) ProcessDirectWithChannel(
|
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ctx context.Context,
|
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content, sessionKey, channel, chatID string,
|
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) (string, error) {
|
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msg := bus.InboundMessage{
|
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Channel: channel,
|
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SenderID: "cron",
|
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ChatID: chatID,
|
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Content: content,
|
|
SessionKey: sessionKey,
|
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Metadata: map[string]string{
|
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"background": "true",
|
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},
|
|
}
|
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|
|
return al.processMessage(ctx, msg)
|
|
}
|
|
|
|
// ProcessHeartbeat processes a heartbeat request without session history.
|
|
// Each heartbeat is independent and doesn't accumulate context.
|
|
func (al *AgentLoop) ProcessHeartbeat(ctx context.Context, content, channel, chatID string) (string, error) {
|
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agent := al.registry.GetDefaultAgent()
|
|
return al.runAgentLoop(ctx, agent, processOptions{
|
|
SessionKey: "heartbeat",
|
|
Channel: channel,
|
|
ChatID: chatID,
|
|
UserMessage: content,
|
|
DefaultResponse: "I've completed processing but have no response to give.",
|
|
EnableSummary: false,
|
|
SendResponse: false,
|
|
NoHistory: true, // Don't load session history for heartbeat
|
|
})
|
|
}
|
|
|
|
func (al *AgentLoop) processMessage(ctx context.Context, msg bus.InboundMessage) (string, error) {
|
|
// Add message preview to log (show full content for error messages)
|
|
var logContent string
|
|
if strings.Contains(msg.Content, "Error:") || strings.Contains(msg.Content, "error") {
|
|
logContent = msg.Content // Full content for errors
|
|
} else {
|
|
logContent = utils.Truncate(msg.Content, 80)
|
|
}
|
|
logger.InfoCF("agent", fmt.Sprintf("Processing message from %s:%s: %s", msg.Channel, msg.SenderID, logContent),
|
|
map[string]any{
|
|
"channel": msg.Channel,
|
|
"chat_id": msg.ChatID,
|
|
"sender_id": msg.SenderID,
|
|
"session_key": msg.SessionKey,
|
|
})
|
|
|
|
// Handle reply-based intervention for active tasks
|
|
if taskID, ok := msg.Metadata["task_id"]; ok && taskID != "" {
|
|
if val, found := al.activeTasks.Load(taskID); found {
|
|
task := val.(*activeTask)
|
|
content := strings.TrimSpace(msg.Content)
|
|
lower := strings.ToLower(content)
|
|
|
|
// Check for stop keywords
|
|
stopKeywords := []string{"stop", "cancel", "abort", "停止", "中止", "やめて"}
|
|
isStop := false
|
|
for _, kw := range stopKeywords {
|
|
if lower == kw {
|
|
isStop = true
|
|
break
|
|
}
|
|
}
|
|
|
|
if isStop {
|
|
task.cancel()
|
|
logger.InfoCF("agent", "Task cancelled by user intervention",
|
|
map[string]any{"task_id": taskID})
|
|
return "Task cancelled.", nil
|
|
}
|
|
|
|
// Inject message into interrupt channel for the tool loop
|
|
select {
|
|
case task.interrupt <- content:
|
|
logger.InfoCF("agent", "User intervention queued",
|
|
map[string]any{"task_id": taskID, "content": utils.Truncate(content, 80)})
|
|
default:
|
|
logger.WarnCF("agent", "Interrupt channel full, message dropped",
|
|
map[string]any{"task_id": taskID})
|
|
}
|
|
return "Intervention sent to running task.", nil
|
|
}
|
|
// Task not found — fall through to normal processing
|
|
}
|
|
|
|
// Route system messages to processSystemMessage
|
|
if msg.Channel == "system" {
|
|
return al.processSystemMessage(ctx, msg)
|
|
}
|
|
|
|
// Expand /skill command: inject SKILL.md content into message, then continue to LLM
|
|
var expansionCompact string
|
|
if expanded, compact, ok := al.expandSkillCommand(msg); ok {
|
|
msg.Content = expanded
|
|
expansionCompact = compact
|
|
}
|
|
|
|
// Expand /plan <task>: write interview seed, rewrite for LLM interview
|
|
if expanded, compact, ok := al.expandPlanCommand(msg); ok {
|
|
msg.Content = expanded
|
|
expansionCompact = compact
|
|
}
|
|
|
|
// Check for commands
|
|
if response, handled := al.handleCommand(ctx, msg); handled {
|
|
return response, nil
|
|
}
|
|
|
|
// Route to determine agent and session key
|
|
route := al.registry.ResolveRoute(routing.RouteInput{
|
|
Channel: msg.Channel,
|
|
AccountID: msg.Metadata["account_id"],
|
|
Peer: extractPeer(msg),
|
|
ParentPeer: extractParentPeer(msg),
|
|
GuildID: msg.Metadata["guild_id"],
|
|
TeamID: msg.Metadata["team_id"],
|
|
})
|
|
|
|
agent, ok := al.registry.GetAgent(route.AgentID)
|
|
if !ok {
|
|
agent = al.registry.GetDefaultAgent()
|
|
}
|
|
|
|
// Use routed session key, but honor ANY pre-set session key (for ProcessDirect/cron)
|
|
sessionKey := route.SessionKey
|
|
if msg.SessionKey != "" {
|
|
sessionKey = msg.SessionKey
|
|
}
|
|
|
|
logger.InfoCF("agent", "Routed message",
|
|
map[string]any{
|
|
"agent_id": agent.ID,
|
|
"session_key": sessionKey,
|
|
"matched_by": route.MatchedBy,
|
|
})
|
|
|
|
return al.runAgentLoop(ctx, agent, processOptions{
|
|
SessionKey: sessionKey,
|
|
Channel: msg.Channel,
|
|
ChatID: msg.ChatID,
|
|
UserMessage: msg.Content,
|
|
HistoryMessage: expansionCompact,
|
|
DefaultResponse: "I've completed processing but have no response to give.",
|
|
EnableSummary: true,
|
|
SendResponse: false,
|
|
})
|
|
}
|
|
|
|
func (al *AgentLoop) processSystemMessage(ctx context.Context, msg bus.InboundMessage) (string, error) {
|
|
if msg.Channel != "system" {
|
|
return "", fmt.Errorf("processSystemMessage called with non-system message channel: %s", msg.Channel)
|
|
}
|
|
|
|
logger.InfoCF("agent", "Processing system message",
|
|
map[string]any{
|
|
"sender_id": msg.SenderID,
|
|
"chat_id": msg.ChatID,
|
|
})
|
|
|
|
// Parse origin channel from chat_id (format: "channel:chat_id")
|
|
var originChannel, originChatID string
|
|
if idx := strings.Index(msg.ChatID, ":"); idx > 0 {
|
|
originChannel = msg.ChatID[:idx]
|
|
originChatID = msg.ChatID[idx+1:]
|
|
} else {
|
|
originChannel = "cli"
|
|
originChatID = msg.ChatID
|
|
}
|
|
|
|
// Extract subagent result from message content
|
|
// Format: "Task 'label' completed.\n\nResult:\n<actual content>"
|
|
content := msg.Content
|
|
if idx := strings.Index(content, "Result:\n"); idx >= 0 {
|
|
content = content[idx+8:] // Extract just the result part
|
|
}
|
|
|
|
// Skip internal channels - only log, don't send to user
|
|
if constants.IsInternalChannel(originChannel) {
|
|
logger.InfoCF("agent", "Subagent completed (internal channel)",
|
|
map[string]any{
|
|
"sender_id": msg.SenderID,
|
|
"content_len": len(content),
|
|
"channel": originChannel,
|
|
})
|
|
return "", nil
|
|
}
|
|
|
|
// Use default agent for system messages
|
|
agent := al.registry.GetDefaultAgent()
|
|
|
|
// Use the origin session for context
|
|
sessionKey := routing.BuildAgentMainSessionKey(agent.ID)
|
|
|
|
return al.runAgentLoop(ctx, agent, processOptions{
|
|
SessionKey: sessionKey,
|
|
Channel: originChannel,
|
|
ChatID: originChatID,
|
|
UserMessage: fmt.Sprintf("[System: %s] %s", msg.SenderID, msg.Content),
|
|
DefaultResponse: "Background task completed.",
|
|
EnableSummary: false,
|
|
SendResponse: true,
|
|
})
|
|
}
|
|
|
|
// acquireSessionLock gets or creates a per-session semaphore and acquires it.
|
|
// Returns false if the context is cancelled before the lock is acquired.
|
|
func (al *AgentLoop) acquireSessionLock(ctx context.Context, sessionKey string) bool {
|
|
val, _ := al.sessionLocks.LoadOrStore(sessionKey, newSessionSemaphore())
|
|
sem := val.(*sessionSemaphore)
|
|
select {
|
|
case <-sem.ch:
|
|
return true
|
|
case <-ctx.Done():
|
|
return false
|
|
}
|
|
}
|
|
|
|
// releaseSessionLock releases the per-session semaphore.
|
|
func (al *AgentLoop) releaseSessionLock(sessionKey string) {
|
|
if val, ok := al.sessionLocks.Load(sessionKey); ok {
|
|
sem := val.(*sessionSemaphore)
|
|
sem.ch <- struct{}{}
|
|
}
|
|
}
|
|
|
|
// runAgentLoop is the core message processing logic.
|
|
func (al *AgentLoop) runAgentLoop(ctx context.Context, agent *AgentInstance, opts processOptions) (string, error) {
|
|
// -1. Acquire per-session lock to prevent concurrent access on the same session
|
|
if !al.acquireSessionLock(ctx, opts.SessionKey) {
|
|
return "", fmt.Errorf("context cancelled while waiting for session lock")
|
|
}
|
|
defer al.releaseSessionLock(opts.SessionKey)
|
|
|
|
// -0. Create cancellable child context and register active task
|
|
taskCtx, taskCancel := context.WithCancel(ctx)
|
|
defer taskCancel()
|
|
|
|
task := &activeTask{
|
|
Description: utils.Truncate(opts.UserMessage, 80),
|
|
MaxIter: agent.MaxIterations,
|
|
StartedAt: time.Now(),
|
|
cancel: taskCancel,
|
|
interrupt: make(chan string, 1),
|
|
}
|
|
|
|
// For background tasks (cron/cli), generate a TaskID and resolve notification channel
|
|
isBackgroundTask := constants.IsInternalChannel(opts.Channel) && al.state != nil
|
|
if isBackgroundTask && opts.TaskID == "" {
|
|
opts.TaskID = fmt.Sprintf("task-%s-%d", opts.SessionKey, time.Now().UnixMilli())
|
|
|
|
// Resolve user's last active channel for notifications
|
|
if lastChannel := al.state.GetLastChannel(); lastChannel != "" {
|
|
// lastChannel format: "channel:chatID"
|
|
if idx := strings.Index(lastChannel, ":"); idx > 0 {
|
|
notifyChannel := lastChannel[:idx]
|
|
notifyChatID := lastChannel[idx+1:]
|
|
|
|
// Override opts channel/chatID for status updates
|
|
opts.Channel = notifyChannel
|
|
opts.ChatID = notifyChatID
|
|
|
|
// Send initial task notification
|
|
al.bus.PublishOutbound(bus.OutboundMessage{
|
|
Channel: notifyChannel,
|
|
ChatID: notifyChatID,
|
|
Content: fmt.Sprintf("\U0001F916 Background task started\n%s", task.Description),
|
|
IsTaskStatus: true,
|
|
TaskID: opts.TaskID,
|
|
})
|
|
}
|
|
}
|
|
}
|
|
|
|
// Use TaskID as key if available (for background tasks), else sessionKey
|
|
taskKey := opts.SessionKey
|
|
if opts.TaskID != "" {
|
|
taskKey = opts.TaskID
|
|
}
|
|
al.activeTasks.Store(taskKey, task)
|
|
defer func() {
|
|
al.activeTasks.Delete(taskKey)
|
|
|
|
// Publish final task status on completion for background tasks
|
|
if opts.TaskID != "" && !constants.IsInternalChannel(opts.Channel) {
|
|
elapsed := time.Since(task.StartedAt)
|
|
al.bus.PublishOutbound(bus.OutboundMessage{
|
|
Channel: opts.Channel,
|
|
ChatID: opts.ChatID,
|
|
Content: fmt.Sprintf("\u2705 Task completed (%.1fs)\n%s", elapsed.Seconds(), task.Description),
|
|
IsTaskStatus: true,
|
|
TaskID: opts.TaskID,
|
|
})
|
|
}
|
|
}()
|
|
|
|
// Replace ctx with the cancellable child context
|
|
ctx = taskCtx
|
|
|
|
// 0. Record last channel for heartbeat notifications (skip internal channels)
|
|
if opts.Channel != "" && opts.ChatID != "" {
|
|
// Don't record internal channels (cli, system, subagent)
|
|
if !constants.IsInternalChannel(opts.Channel) {
|
|
channelKey := fmt.Sprintf("%s:%s", opts.Channel, opts.ChatID)
|
|
if err := al.RecordLastChannel(channelKey); err != nil {
|
|
logger.WarnCF("agent", "Failed to record last channel", map[string]any{"error": err.Error()})
|
|
}
|
|
}
|
|
}
|
|
|
|
// 1. Update tool contexts
|
|
al.updateToolContexts(agent, opts.Channel, opts.ChatID)
|
|
|
|
// 2. Build messages (skip history for heartbeat)
|
|
var history []providers.Message
|
|
var summary string
|
|
if !opts.NoHistory {
|
|
history = agent.Sessions.GetHistory(opts.SessionKey)
|
|
summary = agent.Sessions.GetSummary(opts.SessionKey)
|
|
}
|
|
messages := agent.ContextBuilder.BuildMessages(
|
|
history,
|
|
summary,
|
|
opts.UserMessage,
|
|
nil,
|
|
opts.Channel,
|
|
opts.ChatID,
|
|
)
|
|
|
|
// 2b. Interview staleness nudge: if MEMORY.md hasn't been updated for
|
|
// several consecutive turns, inject a reminder so the AI writes its findings.
|
|
const interviewStaleThreshold = 2
|
|
if agent.ContextBuilder.GetPlanStatus() == "interviewing" && agent.interviewStaleCount >= interviewStaleThreshold {
|
|
messages = append(messages, providers.Message{
|
|
Role: "user",
|
|
Content: "[System] You have been interviewing for several turns without updating memory/MEMORY.md. Please use edit_file now to save your findings to the ## Context section, or organize the plan into Phases if you have enough information.",
|
|
})
|
|
}
|
|
|
|
// 2c. Snapshot plan status and MEMORY.md size before LLM iteration.
|
|
preStatus := agent.ContextBuilder.GetPlanStatus()
|
|
var preMemoryLen int
|
|
if preStatus == "interviewing" {
|
|
preMemoryLen = len(agent.ContextBuilder.ReadMemory())
|
|
}
|
|
|
|
// 3. Save user message to session (use compact form if available)
|
|
historyMsg := opts.UserMessage
|
|
if opts.HistoryMessage != "" {
|
|
historyMsg = opts.HistoryMessage
|
|
}
|
|
agent.Sessions.AddMessage(opts.SessionKey, "user", historyMsg)
|
|
|
|
// 4. Record user prompt for stats
|
|
if al.stats != nil {
|
|
al.stats.RecordPrompt()
|
|
}
|
|
|
|
// 5. Run LLM iteration loop
|
|
finalContent, iteration, err := al.runLLMIteration(ctx, agent, messages, opts, task)
|
|
if err != nil {
|
|
return "", err
|
|
}
|
|
|
|
// If last tool had ForUser content and we already sent it, we might not need to send final response
|
|
// This is controlled by the tool's Silent flag and ForUser content
|
|
|
|
// 5a. Auto-advance plan phases after LLM iteration
|
|
postStatus := agent.ContextBuilder.GetPlanStatus()
|
|
if agent.ContextBuilder.HasActivePlan() && postStatus == "executing" {
|
|
// Intercept: if AI changed status from interviewing to executing,
|
|
// hijack to "review" and show the plan for user approval.
|
|
if preStatus == "interviewing" {
|
|
if agent.ContextBuilder.GetTotalPhases() == 0 {
|
|
_ = agent.ContextBuilder.SetPlanStatus("interviewing")
|
|
logger.WarnCF("agent", "Reverted plan to interviewing: no phases defined",
|
|
map[string]interface{}{"agent_id": agent.ID})
|
|
} else {
|
|
_ = agent.ContextBuilder.SetPlanStatus("review")
|
|
if !constants.IsInternalChannel(opts.Channel) {
|
|
planDisplay := agent.ContextBuilder.FormatPlanDisplay()
|
|
al.bus.PublishOutbound(bus.OutboundMessage{
|
|
Channel: opts.Channel,
|
|
ChatID: opts.ChatID,
|
|
Content: planDisplay + "\n\nUse /plan start to approve, or continue chatting to refine.",
|
|
SkipPlaceholder: true,
|
|
})
|
|
}
|
|
}
|
|
} else if agent.ContextBuilder.GetTotalPhases() == 0 {
|
|
// Safeguard: executing but no phases (shouldn't happen, but be safe).
|
|
_ = agent.ContextBuilder.SetPlanStatus("interviewing")
|
|
logger.WarnCF("agent", "Reverted plan to interviewing: no phases defined",
|
|
map[string]interface{}{"agent_id": agent.ID})
|
|
} else if agent.ContextBuilder.IsPlanComplete() {
|
|
_ = agent.ContextBuilder.ClearMemory()
|
|
if !constants.IsInternalChannel(opts.Channel) {
|
|
al.bus.PublishOutbound(bus.OutboundMessage{
|
|
Channel: opts.Channel,
|
|
ChatID: opts.ChatID,
|
|
Content: "\u2705 Plan completed!",
|
|
SkipPlaceholder: true,
|
|
})
|
|
}
|
|
} else if agent.ContextBuilder.IsCurrentPhaseComplete() {
|
|
prev := agent.ContextBuilder.GetCurrentPhase()
|
|
_ = agent.ContextBuilder.AdvancePhase()
|
|
next := agent.ContextBuilder.GetCurrentPhase()
|
|
if !constants.IsInternalChannel(opts.Channel) {
|
|
al.bus.PublishOutbound(bus.OutboundMessage{
|
|
Channel: opts.Channel,
|
|
ChatID: opts.ChatID,
|
|
Content: fmt.Sprintf("Phase %d complete. Moving to Phase %d.", prev, next),
|
|
SkipPlaceholder: true,
|
|
})
|
|
}
|
|
}
|
|
}
|
|
|
|
// 5b. Interview staleness detection: compare MEMORY.md size after iteration.
|
|
if agent.ContextBuilder.GetPlanStatus() == "interviewing" {
|
|
postMemoryLen := len(agent.ContextBuilder.ReadMemory())
|
|
if postMemoryLen == preMemoryLen {
|
|
agent.interviewStaleCount++
|
|
} else {
|
|
agent.interviewStaleCount = 0
|
|
}
|
|
agent.interviewMemoryLen = postMemoryLen
|
|
} else {
|
|
// Reset counter when not interviewing.
|
|
agent.interviewStaleCount = 0
|
|
}
|
|
|
|
// 5c. Handle empty response
|
|
if finalContent == "" {
|
|
finalContent = opts.DefaultResponse
|
|
}
|
|
|
|
// 6. Save final assistant message to session
|
|
agent.Sessions.AddMessage(opts.SessionKey, "assistant", finalContent)
|
|
agent.Sessions.Save(opts.SessionKey)
|
|
|
|
// 7. Optional: summarization
|
|
if opts.EnableSummary {
|
|
al.maybeSummarize(agent, opts.SessionKey, opts.Channel, opts.ChatID)
|
|
}
|
|
|
|
// 8. Optional: send response via bus
|
|
if opts.SendResponse {
|
|
al.bus.PublishOutbound(bus.OutboundMessage{
|
|
Channel: opts.Channel,
|
|
ChatID: opts.ChatID,
|
|
Content: finalContent,
|
|
})
|
|
}
|
|
|
|
// 9. Log response
|
|
responsePreview := utils.Truncate(finalContent, 120)
|
|
logger.InfoCF("agent", fmt.Sprintf("Response: %s", responsePreview),
|
|
map[string]any{
|
|
"agent_id": agent.ID,
|
|
"session_key": opts.SessionKey,
|
|
"iterations": iteration,
|
|
"final_length": len(finalContent),
|
|
})
|
|
|
|
return finalContent, nil
|
|
}
|
|
|
|
// Task reminder constants and helpers.
|
|
const taskReminderMaxChars = 500
|
|
const blockerMaxChars = 200
|
|
|
|
func shouldInjectReminder(iteration, interval int) bool {
|
|
if interval <= 0 {
|
|
return false
|
|
}
|
|
return iteration > 1 && iteration%interval == 0
|
|
}
|
|
|
|
func buildTaskReminder(userMessage string, lastBlocker string) providers.Message {
|
|
truncatedTask := utils.Truncate(userMessage, taskReminderMaxChars)
|
|
|
|
var content string
|
|
if lastBlocker != "" {
|
|
truncatedBlocker := utils.Truncate(lastBlocker, blockerMaxChars)
|
|
content = fmt.Sprintf(
|
|
"[TASK REMINDER]\nOriginal task:\n---\n%s\n---\nLast blocker:\n---\n%s\n---\nFix the blocker if essential, or find an alternative. If all steps are complete, move on.",
|
|
truncatedTask, truncatedBlocker,
|
|
)
|
|
} else {
|
|
content = fmt.Sprintf(
|
|
"[TASK REMINDER]\nOriginal task:\n---\n%s\n---\nIf all steps of the original task are complete, move on. Otherwise, continue with the next step.",
|
|
truncatedTask,
|
|
)
|
|
}
|
|
|
|
return providers.Message{
|
|
Role: "user",
|
|
Content: content,
|
|
}
|
|
}
|
|
|
|
// buildPlanReminder returns a reminder message for plan pre-execution states
|
|
// (interviewing / review) to keep the AI focused on the interview workflow
|
|
// during tool-call iterations.
|
|
func buildPlanReminder(planStatus string) (providers.Message, bool) {
|
|
var content string
|
|
switch planStatus {
|
|
case "interviewing":
|
|
content = "[System] You are interviewing the user to build a plan. " +
|
|
"Ask clarifying questions and save findings to ## Context in memory/MEMORY.md using edit_file. " +
|
|
"When you have enough information, write ## Phases and ## Commands sections."
|
|
case "review":
|
|
content = "[System] The plan is under review. " +
|
|
"Wait for the user to approve or request changes. Do not proceed with execution."
|
|
default:
|
|
return providers.Message{}, false
|
|
}
|
|
return providers.Message{Role: "user", Content: content}, true
|
|
}
|
|
|
|
// cdPrefixPattern matches "cd /some/path && " at the start of a shell command.
|
|
var cdPrefixPattern = regexp.MustCompile(`^cd\s+\S+\s*&&\s*`)
|
|
|
|
// buildArgsSnippet produces a human-friendly snippet for the tool log.
|
|
// For exec: extracts the command and strips the leading "cd <workspace> && ".
|
|
// For file tools: extracts the path and strips the workspace prefix.
|
|
// Falls back to raw JSON truncation.
|
|
func buildArgsSnippet(toolName string, args map[string]interface{}, workspace string) string {
|
|
switch toolName {
|
|
case "exec":
|
|
cmd, _ := args["command"].(string)
|
|
if cmd == "" {
|
|
break
|
|
}
|
|
cmd = cdPrefixPattern.ReplaceAllString(cmd, "")
|
|
return utils.Truncate(cmd, 80)
|
|
|
|
case "read_file", "write_file", "edit_file", "append_file", "list_dir":
|
|
path, _ := args["path"].(string)
|
|
if path == "" {
|
|
break
|
|
}
|
|
if workspace != "" {
|
|
path = strings.TrimPrefix(path, workspace)
|
|
path = strings.TrimPrefix(path, "/")
|
|
}
|
|
extra := ""
|
|
if toolName == "edit_file" {
|
|
if old, ok := args["old_text"].(string); ok && old != "" {
|
|
extra = " old:" + utils.Truncate(old, 30)
|
|
}
|
|
}
|
|
return utils.Truncate(path, 60) + extra
|
|
}
|
|
|
|
// Default: raw JSON truncated
|
|
argsJSON, _ := json.Marshal(args)
|
|
return utils.Truncate(string(argsJSON), 80)
|
|
}
|
|
|
|
// buildRichStatus builds a terminal-like status display from the active task's tool log.
|
|
func buildRichStatus(task *activeTask, isBackground bool, workspace string) string {
|
|
task.mu.Lock()
|
|
defer task.mu.Unlock()
|
|
|
|
var sb strings.Builder
|
|
fmt.Fprintf(&sb, "\U0001F504 Task in progress (%d/%d)\n", task.Iteration, task.MaxIter)
|
|
// Show project directory name so user knows which workspace is active
|
|
if workspace != "" {
|
|
// Extract last path component as project name
|
|
project := workspace
|
|
if idx := strings.LastIndex(workspace, "/"); idx >= 0 {
|
|
project = workspace[idx+1:]
|
|
} else if idx := strings.LastIndex(workspace, "\\"); idx >= 0 {
|
|
project = workspace[idx+1:]
|
|
}
|
|
if project != "" {
|
|
fmt.Fprintf(&sb, "\U0001F4C2 %s\n", project)
|
|
}
|
|
}
|
|
sb.WriteString("\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\n")
|
|
|
|
// Sliding window: show only the last maxToolLogEntries entries
|
|
entries := task.toolLog
|
|
if len(entries) > maxToolLogEntries {
|
|
entries = entries[len(entries)-maxToolLogEntries:]
|
|
}
|
|
for _, entry := range entries {
|
|
isErr := strings.HasPrefix(entry.Result, "\u2717")
|
|
if isErr {
|
|
// Error: multi-line block with decoration
|
|
if entry.ArgsSnip != "" {
|
|
fmt.Fprintf(&sb, "%s %s %s\n", entry.Name, entry.ArgsSnip, entry.Result)
|
|
} else {
|
|
fmt.Fprintf(&sb, "%s %s\n", entry.Name, entry.Result)
|
|
}
|
|
if entry.ErrDetail != "" {
|
|
for _, line := range strings.Split(entry.ErrDetail, "\n") {
|
|
fmt.Fprintf(&sb, "\u2502 %s\n", line)
|
|
}
|
|
}
|
|
} else {
|
|
// Success/pending: compact one-liner
|
|
if entry.ArgsSnip != "" {
|
|
fmt.Fprintf(&sb, "%s %s %s\n", entry.Name, utils.Truncate(entry.ArgsSnip, 40), entry.Result)
|
|
} else {
|
|
fmt.Fprintf(&sb, "%s %s\n", entry.Name, entry.Result)
|
|
}
|
|
}
|
|
}
|
|
|
|
sb.WriteString("\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\n")
|
|
if isBackground {
|
|
sb.WriteString("\u21A9\uFE0F Reply to intervene")
|
|
}
|
|
return sb.String()
|
|
}
|
|
|
|
// runLLMIteration executes the LLM call loop with tool handling.
|
|
func (al *AgentLoop) runLLMIteration(
|
|
ctx context.Context,
|
|
agent *AgentInstance,
|
|
messages []providers.Message,
|
|
opts processOptions,
|
|
task *activeTask,
|
|
) (string, int, error) {
|
|
iteration := 0
|
|
var finalContent string
|
|
lastReminderIdx := -1
|
|
|
|
maxIter := agent.MaxIterations
|
|
|
|
// Determine if this is a background task (cron, heartbeat, etc.)
|
|
isBackground := opts.TaskID != ""
|
|
|
|
for iteration < maxIter {
|
|
iteration++
|
|
|
|
// Update active task iteration
|
|
if task != nil {
|
|
task.mu.Lock()
|
|
task.Iteration = iteration
|
|
task.mu.Unlock()
|
|
}
|
|
|
|
// Check for user intervention via interrupt channel
|
|
if task != nil {
|
|
select {
|
|
case msg := <-task.interrupt:
|
|
messages = append(messages, providers.Message{
|
|
Role: "user",
|
|
Content: "[User Intervention] " + msg,
|
|
})
|
|
logger.InfoCF("agent", "User intervention injected",
|
|
map[string]any{"agent_id": agent.ID, "iteration": iteration})
|
|
default:
|
|
}
|
|
}
|
|
|
|
logger.DebugCF("agent", "LLM iteration",
|
|
map[string]any{
|
|
"agent_id": agent.ID,
|
|
"iteration": iteration,
|
|
"max": maxIter,
|
|
})
|
|
|
|
// Build tool definitions
|
|
providerToolDefs := agent.Tools.ToProviderDefs()
|
|
|
|
// Log LLM request details
|
|
logger.DebugCF("agent", "LLM request",
|
|
map[string]any{
|
|
"agent_id": agent.ID,
|
|
"iteration": iteration,
|
|
"model": agent.Model,
|
|
"messages_count": len(messages),
|
|
"tools_count": len(providerToolDefs),
|
|
"max_tokens": agent.MaxTokens,
|
|
"temperature": agent.Temperature,
|
|
"system_prompt_len": len(messages[0].Content),
|
|
})
|
|
|
|
// Log full messages (detailed)
|
|
logger.DebugCF("agent", "Full LLM request",
|
|
map[string]any{
|
|
"iteration": iteration,
|
|
"messages_json": formatMessagesForLog(messages),
|
|
"tools_json": formatToolsForLog(providerToolDefs),
|
|
})
|
|
|
|
// Call LLM with fallback chain if candidates are configured.
|
|
var response *providers.LLMResponse
|
|
var err error
|
|
|
|
callLLM := func() (*providers.LLMResponse, error) {
|
|
if len(agent.Candidates) > 1 && al.fallback != nil {
|
|
fbResult, fbErr := al.fallback.Execute(ctx, agent.Candidates,
|
|
func(ctx context.Context, provider, model string) (*providers.LLMResponse, error) {
|
|
p := al.resolveProvider(provider, model, agent.Provider)
|
|
return p.Chat(ctx, messages, providerToolDefs, model, map[string]interface{}{
|
|
"max_tokens": agent.MaxTokens,
|
|
"temperature": agent.Temperature,
|
|
})
|
|
},
|
|
)
|
|
if fbErr != nil {
|
|
return nil, fbErr
|
|
}
|
|
if fbResult.Provider != "" && len(fbResult.Attempts) > 0 {
|
|
logger.InfoCF("agent", fmt.Sprintf("Fallback: succeeded with %s/%s after %d attempts",
|
|
fbResult.Provider, fbResult.Model, len(fbResult.Attempts)+1),
|
|
map[string]any{"agent_id": agent.ID, "iteration": iteration})
|
|
}
|
|
return fbResult.Response, nil
|
|
}
|
|
return agent.Provider.Chat(ctx, messages, providerToolDefs, agent.Model, map[string]any{
|
|
"max_tokens": agent.MaxTokens,
|
|
"temperature": agent.Temperature,
|
|
})
|
|
}
|
|
|
|
// Retry loop for context/token errors
|
|
maxRetries := 2
|
|
for retry := 0; retry <= maxRetries; retry++ {
|
|
response, err = callLLM()
|
|
if err == nil {
|
|
break
|
|
}
|
|
|
|
errMsg := strings.ToLower(err.Error())
|
|
isContextError := strings.Contains(errMsg, "token") ||
|
|
strings.Contains(errMsg, "context") ||
|
|
strings.Contains(errMsg, "invalidparameter") ||
|
|
strings.Contains(errMsg, "length")
|
|
|
|
if isContextError && retry < maxRetries {
|
|
logger.WarnCF("agent", "Context window error detected, attempting compression", map[string]any{
|
|
"error": err.Error(),
|
|
"retry": retry,
|
|
})
|
|
|
|
if retry == 0 && !constants.IsInternalChannel(opts.Channel) {
|
|
al.bus.PublishOutbound(bus.OutboundMessage{
|
|
Channel: opts.Channel,
|
|
ChatID: opts.ChatID,
|
|
Content: "Context window exceeded. Compressing history and retrying...",
|
|
})
|
|
}
|
|
|
|
al.forceCompression(agent, opts.SessionKey)
|
|
newHistory := agent.Sessions.GetHistory(opts.SessionKey)
|
|
newSummary := agent.Sessions.GetSummary(opts.SessionKey)
|
|
messages = agent.ContextBuilder.BuildMessages(
|
|
newHistory, newSummary, "",
|
|
nil, opts.Channel, opts.ChatID,
|
|
)
|
|
continue
|
|
}
|
|
break
|
|
}
|
|
|
|
if err != nil {
|
|
logger.ErrorCF("agent", "LLM call failed",
|
|
map[string]any{
|
|
"agent_id": agent.ID,
|
|
"iteration": iteration,
|
|
"error": err.Error(),
|
|
})
|
|
return "", iteration, fmt.Errorf("LLM call failed after retries: %w", err)
|
|
}
|
|
|
|
// Record token usage
|
|
if response.Usage != nil && al.stats != nil {
|
|
al.stats.RecordUsage(
|
|
response.Usage.PromptTokens,
|
|
response.Usage.CompletionTokens,
|
|
response.Usage.TotalTokens,
|
|
)
|
|
}
|
|
|
|
// Check if no tool calls - we're done
|
|
if len(response.ToolCalls) == 0 {
|
|
finalContent = response.Content
|
|
logger.InfoCF("agent", "LLM response without tool calls (direct answer)",
|
|
map[string]any{
|
|
"agent_id": agent.ID,
|
|
"iteration": iteration,
|
|
"content_chars": len(finalContent),
|
|
})
|
|
break
|
|
}
|
|
|
|
normalizedToolCalls := make([]providers.ToolCall, 0, len(response.ToolCalls))
|
|
for _, tc := range response.ToolCalls {
|
|
normalizedToolCalls = append(normalizedToolCalls, providers.NormalizeToolCall(tc))
|
|
}
|
|
|
|
// Log tool calls
|
|
toolNames := make([]string, 0, len(normalizedToolCalls))
|
|
for _, tc := range normalizedToolCalls {
|
|
toolNames = append(toolNames, tc.Name)
|
|
}
|
|
logger.InfoCF("agent", "LLM requested tool calls",
|
|
map[string]any{
|
|
"agent_id": agent.ID,
|
|
"tools": toolNames,
|
|
"count": len(normalizedToolCalls),
|
|
"iteration": iteration,
|
|
})
|
|
|
|
// Publish rich status update
|
|
if !constants.IsInternalChannel(opts.Channel) && task != nil {
|
|
// Add pending entries to tool log for the current tool calls
|
|
task.mu.Lock()
|
|
for _, tc := range normalizedToolCalls {
|
|
task.toolLog = append(task.toolLog, toolLogEntry{
|
|
Name: fmt.Sprintf("[%d] %s", iteration, tc.Name),
|
|
ArgsSnip: buildArgsSnippet(tc.Name, tc.Arguments, agent.Workspace),
|
|
Result: "\u23F3",
|
|
})
|
|
}
|
|
task.mu.Unlock()
|
|
|
|
statusContent := buildRichStatus(task, isBackground, agent.Workspace)
|
|
if isBackground {
|
|
al.bus.PublishOutbound(bus.OutboundMessage{
|
|
Channel: opts.Channel,
|
|
ChatID: opts.ChatID,
|
|
Content: statusContent,
|
|
IsTaskStatus: true,
|
|
TaskID: opts.TaskID,
|
|
})
|
|
} else {
|
|
al.bus.PublishOutbound(bus.OutboundMessage{
|
|
Channel: opts.Channel,
|
|
ChatID: opts.ChatID,
|
|
Content: statusContent,
|
|
IsStatus: true,
|
|
})
|
|
}
|
|
}
|
|
|
|
// Build assistant message with tool calls
|
|
assistantMsg := providers.Message{
|
|
Role: "assistant",
|
|
Content: response.Content,
|
|
}
|
|
for _, tc := range normalizedToolCalls {
|
|
argumentsJSON, _ := json.Marshal(tc.Arguments)
|
|
// Copy ExtraContent to ensure thought_signature is persisted for Gemini 3
|
|
extraContent := tc.ExtraContent
|
|
thoughtSignature := ""
|
|
if tc.Function != nil {
|
|
thoughtSignature = tc.Function.ThoughtSignature
|
|
}
|
|
|
|
assistantMsg.ToolCalls = append(assistantMsg.ToolCalls, providers.ToolCall{
|
|
ID: tc.ID,
|
|
Type: "function",
|
|
Name: tc.Name,
|
|
Function: &providers.FunctionCall{
|
|
Name: tc.Name,
|
|
Arguments: string(argumentsJSON),
|
|
ThoughtSignature: thoughtSignature,
|
|
},
|
|
ExtraContent: extraContent,
|
|
ThoughtSignature: thoughtSignature,
|
|
})
|
|
}
|
|
messages = append(messages, assistantMsg)
|
|
|
|
// Save assistant message with tool calls to session
|
|
agent.Sessions.AddFullMessage(opts.SessionKey, assistantMsg)
|
|
|
|
// Execute tool calls
|
|
var lastBlocker string
|
|
for tcIdx, tc := range normalizedToolCalls {
|
|
argsJSON, _ := json.Marshal(tc.Arguments)
|
|
argsPreview := utils.Truncate(string(argsJSON), 200)
|
|
logger.InfoCF("agent", fmt.Sprintf("Tool call: %s(%s)", tc.Name, argsPreview),
|
|
map[string]any{
|
|
"agent_id": agent.ID,
|
|
"tool": tc.Name,
|
|
"iteration": iteration,
|
|
})
|
|
|
|
// Create async callback for tools that implement AsyncTool
|
|
// NOTE: Following openclaw's design, async tools do NOT send results directly to users.
|
|
// Instead, they notify the agent via PublishInbound, and the agent decides
|
|
// whether to forward the result to the user (in processSystemMessage).
|
|
asyncCallback := func(callbackCtx context.Context, result *tools.ToolResult) {
|
|
// Log the async completion but don't send directly to user
|
|
// The agent will handle user notification via processSystemMessage
|
|
if !result.Silent && result.ForUser != "" {
|
|
logger.InfoCF("agent", "Async tool completed, agent will handle notification",
|
|
map[string]any{
|
|
"tool": tc.Name,
|
|
"content_len": len(result.ForUser),
|
|
})
|
|
}
|
|
}
|
|
|
|
// Block non-allowed tools during plan interview mode.
|
|
// Only read-type tools and MEMORY.md writes are permitted.
|
|
toolStart := time.Now()
|
|
var toolResult *tools.ToolResult
|
|
if isPlanPreExecution(agent.ContextBuilder.GetPlanStatus()) && !isToolAllowedDuringInterview(tc.Name, tc.Arguments) {
|
|
toolResult = tools.ErrorResult("Interview mode: only read tools and MEMORY.md edits are allowed. Focus on asking questions and updating the plan.")
|
|
} else {
|
|
toolResult = agent.Tools.ExecuteWithContext(ctx, tc.Name, tc.Arguments, opts.Channel, opts.ChatID, asyncCallback)
|
|
}
|
|
toolDuration := time.Since(toolStart)
|
|
|
|
// Update tool log entry with result
|
|
if task != nil {
|
|
task.mu.Lock()
|
|
// Find the matching pending entry (added earlier in this iteration)
|
|
logIdx := len(task.toolLog) - len(normalizedToolCalls) + tcIdx
|
|
if logIdx >= 0 && logIdx < len(task.toolLog) {
|
|
if toolResult.IsError || toolResult.Err != nil {
|
|
task.toolLog[logIdx].Result = fmt.Sprintf("\u2717 %.1fs", toolDuration.Seconds())
|
|
// Extract error detail for block display
|
|
if toolResult.Err != nil {
|
|
task.toolLog[logIdx].ErrDetail = utils.Truncate(toolResult.Err.Error(), 120)
|
|
} else if toolResult.ForLLM != "" {
|
|
// exec returns IsError with exit info in ForLLM, not Err
|
|
// Show last few lines (stderr / exit code)
|
|
lines := strings.Split(strings.TrimSpace(toolResult.ForLLM), "\n")
|
|
start := len(lines) - 3
|
|
if start < 0 {
|
|
start = 0
|
|
}
|
|
task.toolLog[logIdx].ErrDetail = utils.Truncate(
|
|
strings.Join(lines[start:], "\n"), 200)
|
|
}
|
|
} else {
|
|
task.toolLog[logIdx].Result = fmt.Sprintf("\u2713 %.1fs", toolDuration.Seconds())
|
|
}
|
|
}
|
|
task.mu.Unlock()
|
|
}
|
|
|
|
// Send ForUser content to user immediately if not Silent
|
|
if !toolResult.Silent && toolResult.ForUser != "" && opts.SendResponse {
|
|
al.bus.PublishOutbound(bus.OutboundMessage{
|
|
Channel: opts.Channel,
|
|
ChatID: opts.ChatID,
|
|
Content: toolResult.ForUser,
|
|
})
|
|
logger.DebugCF("agent", "Sent tool result to user",
|
|
map[string]any{
|
|
"tool": tc.Name,
|
|
"content_len": len(toolResult.ForUser),
|
|
})
|
|
}
|
|
|
|
// Determine content for LLM based on tool result
|
|
contentForLLM := toolResult.ForLLM
|
|
if contentForLLM == "" && toolResult.Err != nil {
|
|
contentForLLM = toolResult.Err.Error()
|
|
}
|
|
|
|
// Track blockers for task reminder
|
|
if toolResult.IsError || toolResult.Err != nil {
|
|
lastBlocker = contentForLLM
|
|
}
|
|
|
|
toolResultMsg := providers.Message{
|
|
Role: "tool",
|
|
Content: contentForLLM,
|
|
ToolCallID: tc.ID,
|
|
}
|
|
messages = append(messages, toolResultMsg)
|
|
|
|
// Save tool result message to session
|
|
agent.Sessions.AddFullMessage(opts.SessionKey, toolResultMsg)
|
|
}
|
|
|
|
// Trim tool log sliding window to prevent unbounded growth
|
|
if task != nil {
|
|
task.mu.Lock()
|
|
if len(task.toolLog) > maxToolLogEntries {
|
|
task.toolLog = task.toolLog[len(task.toolLog)-maxToolLogEntries:]
|
|
}
|
|
task.mu.Unlock()
|
|
}
|
|
|
|
// Inject ephemeral task reminder to prevent focus drift.
|
|
// Remove previous reminder and re-append at the tail so it stays
|
|
// close to the LLM's attention window.
|
|
if shouldInjectReminder(iteration, agent.TaskReminderInterval) && !opts.NoHistory {
|
|
if lastReminderIdx >= 0 && lastReminderIdx < len(messages) {
|
|
messages = append(messages[:lastReminderIdx], messages[lastReminderIdx+1:]...)
|
|
}
|
|
reminderMsg := buildTaskReminder(opts.UserMessage, lastBlocker)
|
|
messages = append(messages, reminderMsg)
|
|
lastReminderIdx = len(messages) - 1
|
|
logger.DebugCF("agent", "Injected task reminder",
|
|
map[string]interface{}{
|
|
"agent_id": agent.ID,
|
|
"iteration": iteration,
|
|
"has_blocker": lastBlocker != "",
|
|
})
|
|
}
|
|
|
|
// Inject plan-mode reminder to keep AI focused on interview/review workflow.
|
|
if iteration > 1 && isPlanPreExecution(agent.ContextBuilder.GetPlanStatus()) {
|
|
if reminder, ok := buildPlanReminder(agent.ContextBuilder.GetPlanStatus()); ok {
|
|
messages = append(messages, reminder)
|
|
logger.DebugCF("agent", "Injected plan reminder",
|
|
map[string]interface{}{
|
|
"agent_id": agent.ID,
|
|
"iteration": iteration,
|
|
"plan_status": agent.ContextBuilder.GetPlanStatus(),
|
|
})
|
|
}
|
|
}
|
|
}
|
|
|
|
// If max iterations exhausted with tool calls still pending,
|
|
// make one final LLM call without tools to force a text response.
|
|
if finalContent == "" && iteration >= maxIter {
|
|
logger.WarnCF("agent", "Max iterations reached, forcing final response without tools",
|
|
map[string]interface{}{
|
|
"agent_id": agent.ID,
|
|
"iteration": iteration,
|
|
})
|
|
forceResp, forceErr := agent.Provider.Chat(ctx, messages, nil, agent.Model, map[string]interface{}{
|
|
"max_tokens": agent.MaxTokens,
|
|
"temperature": agent.Temperature,
|
|
})
|
|
if forceErr == nil && forceResp.Content != "" {
|
|
finalContent = forceResp.Content
|
|
if forceResp.Usage != nil && al.stats != nil {
|
|
al.stats.RecordUsage(
|
|
forceResp.Usage.PromptTokens,
|
|
forceResp.Usage.CompletionTokens,
|
|
forceResp.Usage.TotalTokens,
|
|
)
|
|
}
|
|
}
|
|
}
|
|
|
|
return finalContent, iteration, nil
|
|
}
|
|
|
|
// updateToolContexts updates the context for tools that need channel/chatID info.
|
|
func (al *AgentLoop) updateToolContexts(agent *AgentInstance, channel, chatID string) {
|
|
// Use ContextualTool interface instead of type assertions
|
|
if tool, ok := agent.Tools.Get("message"); ok {
|
|
if mt, ok := tool.(tools.ContextualTool); ok {
|
|
mt.SetContext(channel, chatID)
|
|
}
|
|
}
|
|
if tool, ok := agent.Tools.Get("spawn"); ok {
|
|
if st, ok := tool.(tools.ContextualTool); ok {
|
|
st.SetContext(channel, chatID)
|
|
}
|
|
}
|
|
if tool, ok := agent.Tools.Get("subagent"); ok {
|
|
if st, ok := tool.(tools.ContextualTool); ok {
|
|
st.SetContext(channel, chatID)
|
|
}
|
|
}
|
|
}
|
|
|
|
// maybeSummarize triggers summarization if the session history exceeds thresholds.
|
|
func (al *AgentLoop) maybeSummarize(agent *AgentInstance, sessionKey, channel, chatID string) {
|
|
newHistory := agent.Sessions.GetHistory(sessionKey)
|
|
tokenEstimate := al.estimateTokens(newHistory)
|
|
threshold := agent.ContextWindow * 75 / 100
|
|
|
|
if len(newHistory) > 20 || tokenEstimate > threshold {
|
|
summarizeKey := agent.ID + ":" + sessionKey
|
|
if _, loading := al.summarizing.LoadOrStore(summarizeKey, true); !loading {
|
|
go func() {
|
|
defer al.summarizing.Delete(summarizeKey)
|
|
logger.InfoCF("agent", "Memory threshold reached, optimizing conversation history",
|
|
map[string]interface{}{
|
|
"session_key": sessionKey,
|
|
"history_len": len(newHistory),
|
|
"token_estimate": tokenEstimate,
|
|
})
|
|
al.summarizeSession(agent, sessionKey)
|
|
}()
|
|
}
|
|
}
|
|
}
|
|
|
|
// forceCompression aggressively reduces context when the limit is hit.
|
|
// It drops the oldest 50% of messages (keeping system prompt and last user message).
|
|
func (al *AgentLoop) forceCompression(agent *AgentInstance, sessionKey string) {
|
|
history := agent.Sessions.GetHistory(sessionKey)
|
|
if len(history) <= 4 {
|
|
return
|
|
}
|
|
|
|
// Keep system prompt (usually [0]) and the very last message (user's trigger)
|
|
// We want to drop the oldest half of the *conversation*
|
|
// Assuming [0] is system, [1:] is conversation
|
|
conversation := history[1 : len(history)-1]
|
|
if len(conversation) == 0 {
|
|
return
|
|
}
|
|
|
|
// Helper to find the mid-point of the conversation
|
|
mid := len(conversation) / 2
|
|
|
|
// New history structure:
|
|
// 1. System Prompt (with compression note appended)
|
|
// 2. Second half of conversation
|
|
// 3. Last message
|
|
|
|
droppedCount := mid
|
|
keptConversation := conversation[mid:]
|
|
|
|
newHistory := make([]providers.Message, 0)
|
|
|
|
// Append compression note to the original system prompt instead of adding a new system message
|
|
// This avoids having two consecutive system messages which some APIs (like Zhipu) reject
|
|
compressionNote := fmt.Sprintf(
|
|
"\n\n[System Note: Emergency compression dropped %d oldest messages due to context limit]",
|
|
droppedCount,
|
|
)
|
|
enhancedSystemPrompt := history[0]
|
|
enhancedSystemPrompt.Content = enhancedSystemPrompt.Content + compressionNote
|
|
newHistory = append(newHistory, enhancedSystemPrompt)
|
|
|
|
newHistory = append(newHistory, keptConversation...)
|
|
newHistory = append(newHistory, history[len(history)-1]) // Last message
|
|
|
|
// Update session
|
|
agent.Sessions.SetHistory(sessionKey, newHistory)
|
|
agent.Sessions.Save(sessionKey)
|
|
|
|
logger.WarnCF("agent", "Forced compression executed", map[string]any{
|
|
"session_key": sessionKey,
|
|
"dropped_msgs": droppedCount,
|
|
"new_count": len(newHistory),
|
|
})
|
|
}
|
|
|
|
// GetStartupInfo returns information about loaded tools and skills for logging.
|
|
func (al *AgentLoop) GetStartupInfo() map[string]any {
|
|
info := make(map[string]any)
|
|
|
|
agent := al.registry.GetDefaultAgent()
|
|
if agent == nil {
|
|
return info
|
|
}
|
|
|
|
// Tools info
|
|
toolsList := agent.Tools.List()
|
|
info["tools"] = map[string]any{
|
|
"count": len(toolsList),
|
|
"names": toolsList,
|
|
}
|
|
|
|
// Skills info
|
|
info["skills"] = agent.ContextBuilder.GetSkillsInfo()
|
|
|
|
// Agents info
|
|
info["agents"] = map[string]any{
|
|
"count": len(al.registry.ListAgentIDs()),
|
|
"ids": al.registry.ListAgentIDs(),
|
|
}
|
|
|
|
return info
|
|
}
|
|
|
|
// formatMessagesForLog formats messages for logging
|
|
func formatMessagesForLog(messages []providers.Message) string {
|
|
if len(messages) == 0 {
|
|
return "[]"
|
|
}
|
|
|
|
var sb strings.Builder
|
|
sb.WriteString("[\n")
|
|
for i, msg := range messages {
|
|
fmt.Fprintf(&sb, " [%d] Role: %s\n", i, msg.Role)
|
|
if len(msg.ToolCalls) > 0 {
|
|
sb.WriteString(" ToolCalls:\n")
|
|
for _, tc := range msg.ToolCalls {
|
|
fmt.Fprintf(&sb, " - ID: %s, Type: %s, Name: %s\n", tc.ID, tc.Type, tc.Name)
|
|
if tc.Function != nil {
|
|
fmt.Fprintf(&sb, " Arguments: %s\n", utils.Truncate(tc.Function.Arguments, 200))
|
|
}
|
|
}
|
|
}
|
|
if msg.Content != "" {
|
|
content := utils.Truncate(msg.Content, 200)
|
|
fmt.Fprintf(&sb, " Content: %s\n", content)
|
|
}
|
|
if msg.ToolCallID != "" {
|
|
fmt.Fprintf(&sb, " ToolCallID: %s\n", msg.ToolCallID)
|
|
}
|
|
sb.WriteString("\n")
|
|
}
|
|
sb.WriteString("]")
|
|
return sb.String()
|
|
}
|
|
|
|
// formatToolsForLog formats tool definitions for logging
|
|
func formatToolsForLog(toolDefs []providers.ToolDefinition) string {
|
|
if len(toolDefs) == 0 {
|
|
return "[]"
|
|
}
|
|
|
|
var sb strings.Builder
|
|
sb.WriteString("[\n")
|
|
for i, tool := range toolDefs {
|
|
fmt.Fprintf(&sb, " [%d] Type: %s, Name: %s\n", i, tool.Type, tool.Function.Name)
|
|
fmt.Fprintf(&sb, " Description: %s\n", tool.Function.Description)
|
|
if len(tool.Function.Parameters) > 0 {
|
|
fmt.Fprintf(&sb, " Parameters: %s\n", utils.Truncate(fmt.Sprintf("%v", tool.Function.Parameters), 200))
|
|
}
|
|
}
|
|
sb.WriteString("]")
|
|
return sb.String()
|
|
}
|
|
|
|
// summarizeSession summarizes the conversation history for a session.
|
|
func (al *AgentLoop) summarizeSession(agent *AgentInstance, sessionKey string) {
|
|
ctx, cancel := context.WithTimeout(context.Background(), 120*time.Second)
|
|
defer cancel()
|
|
|
|
history := agent.Sessions.GetHistory(sessionKey)
|
|
summary := agent.Sessions.GetSummary(sessionKey)
|
|
|
|
// Keep last 4 messages for continuity
|
|
if len(history) <= 4 {
|
|
return
|
|
}
|
|
|
|
toSummarize := history[:len(history)-4]
|
|
|
|
// Oversized Message Guard
|
|
maxMessageTokens := agent.ContextWindow / 2
|
|
validMessages := make([]providers.Message, 0)
|
|
omitted := false
|
|
|
|
for _, m := range toSummarize {
|
|
if m.Role != "user" && m.Role != "assistant" {
|
|
continue
|
|
}
|
|
msgTokens := len(m.Content) / 2
|
|
if msgTokens > maxMessageTokens {
|
|
omitted = true
|
|
continue
|
|
}
|
|
validMessages = append(validMessages, m)
|
|
}
|
|
|
|
if len(validMessages) == 0 {
|
|
return
|
|
}
|
|
|
|
// Multi-Part Summarization
|
|
var finalSummary string
|
|
if len(validMessages) > 10 {
|
|
mid := len(validMessages) / 2
|
|
part1 := validMessages[:mid]
|
|
part2 := validMessages[mid:]
|
|
|
|
s1, _ := al.summarizeBatch(ctx, agent, part1, "")
|
|
s2, _ := al.summarizeBatch(ctx, agent, part2, "")
|
|
|
|
mergePrompt := fmt.Sprintf(
|
|
"Merge these two conversation summaries into one cohesive summary:\n\n1: %s\n\n2: %s",
|
|
s1,
|
|
s2,
|
|
)
|
|
resp, err := agent.Provider.Chat(
|
|
ctx,
|
|
[]providers.Message{{Role: "user", Content: mergePrompt}},
|
|
nil,
|
|
agent.Model,
|
|
map[string]any{
|
|
"max_tokens": 1024,
|
|
"temperature": 0.3,
|
|
},
|
|
)
|
|
if err == nil {
|
|
finalSummary = resp.Content
|
|
} else {
|
|
finalSummary = s1 + " " + s2
|
|
}
|
|
} else {
|
|
finalSummary, _ = al.summarizeBatch(ctx, agent, validMessages, summary)
|
|
}
|
|
|
|
if omitted && finalSummary != "" {
|
|
finalSummary += "\n[Note: Some oversized messages were omitted from this summary for efficiency.]"
|
|
}
|
|
|
|
if finalSummary != "" {
|
|
agent.Sessions.SetSummary(sessionKey, finalSummary)
|
|
agent.Sessions.TruncateHistory(sessionKey, 4)
|
|
agent.Sessions.Save(sessionKey)
|
|
}
|
|
}
|
|
|
|
// summarizeBatch summarizes a batch of messages.
|
|
func (al *AgentLoop) summarizeBatch(
|
|
ctx context.Context,
|
|
agent *AgentInstance,
|
|
batch []providers.Message,
|
|
existingSummary string,
|
|
) (string, error) {
|
|
var sb strings.Builder
|
|
sb.WriteString("Provide a concise summary of this conversation segment, preserving core context and key points.\n")
|
|
if agent.ContextBuilder.HasActivePlan() {
|
|
sb.WriteString("Note: Active plan in MEMORY.md. Preserve plan progress references.\n")
|
|
}
|
|
if existingSummary != "" {
|
|
sb.WriteString("Existing context: ")
|
|
sb.WriteString(existingSummary)
|
|
sb.WriteString("\n")
|
|
}
|
|
sb.WriteString("\nCONVERSATION:\n")
|
|
for _, m := range batch {
|
|
fmt.Fprintf(&sb, "%s: %s\n", m.Role, m.Content)
|
|
}
|
|
prompt := sb.String()
|
|
|
|
response, err := agent.Provider.Chat(
|
|
ctx,
|
|
[]providers.Message{{Role: "user", Content: prompt}},
|
|
nil,
|
|
agent.Model,
|
|
map[string]any{
|
|
"max_tokens": 1024,
|
|
"temperature": 0.3,
|
|
},
|
|
)
|
|
if err != nil {
|
|
return "", err
|
|
}
|
|
return response.Content, nil
|
|
}
|
|
|
|
// estimateTokens estimates the number of tokens in a message list.
|
|
// Uses a safe heuristic of 2.5 characters per token to account for CJK and other
|
|
// overheads better than the previous 3 chars/token.
|
|
func (al *AgentLoop) estimateTokens(messages []providers.Message) int {
|
|
totalChars := 0
|
|
for _, m := range messages {
|
|
totalChars += utf8.RuneCountInString(m.Content)
|
|
}
|
|
// 2.5 chars per token = totalChars * 2 / 5
|
|
return totalChars * 2 / 5
|
|
}
|
|
|
|
func (al *AgentLoop) handleCommand(ctx context.Context, msg bus.InboundMessage) (string, bool) {
|
|
content := strings.TrimSpace(msg.Content)
|
|
if !strings.HasPrefix(content, "/") {
|
|
return "", false
|
|
}
|
|
|
|
parts := strings.Fields(content)
|
|
if len(parts) == 0 {
|
|
return "", false
|
|
}
|
|
|
|
cmd := parts[0]
|
|
args := parts[1:]
|
|
|
|
switch cmd {
|
|
case "/show":
|
|
if len(args) < 1 {
|
|
return "Usage: /show [model|channel|agents]", true
|
|
}
|
|
switch args[0] {
|
|
case "model":
|
|
defaultAgent := al.registry.GetDefaultAgent()
|
|
if defaultAgent == nil {
|
|
return "No default agent configured", true
|
|
}
|
|
return fmt.Sprintf("Current model: %s", defaultAgent.Model), true
|
|
case "channel":
|
|
return fmt.Sprintf("Current channel: %s", msg.Channel), true
|
|
case "agents":
|
|
agentIDs := al.registry.ListAgentIDs()
|
|
return fmt.Sprintf("Registered agents: %s", strings.Join(agentIDs, ", ")), true
|
|
default:
|
|
return fmt.Sprintf("Unknown show target: %s", args[0]), true
|
|
}
|
|
|
|
case "/list":
|
|
if len(args) < 1 {
|
|
return "Usage: /list [models|channels|agents]", true
|
|
}
|
|
switch args[0] {
|
|
case "models":
|
|
return "Available models: configured in config.json per agent", true
|
|
case "channels":
|
|
if al.channelManager == nil {
|
|
return "Channel manager not initialized", true
|
|
}
|
|
channels := al.channelManager.GetEnabledChannels()
|
|
if len(channels) == 0 {
|
|
return "No channels enabled", true
|
|
}
|
|
return fmt.Sprintf("Enabled channels: %s", strings.Join(channels, ", ")), true
|
|
case "agents":
|
|
agentIDs := al.registry.ListAgentIDs()
|
|
return fmt.Sprintf("Registered agents: %s", strings.Join(agentIDs, ", ")), true
|
|
default:
|
|
return fmt.Sprintf("Unknown list target: %s", args[0]), true
|
|
}
|
|
|
|
case "/switch":
|
|
if len(args) < 3 || args[1] != "to" {
|
|
return "Usage: /switch [model|channel] to <name>", true
|
|
}
|
|
target := args[0]
|
|
value := args[2]
|
|
|
|
switch target {
|
|
case "model":
|
|
defaultAgent := al.registry.GetDefaultAgent()
|
|
if defaultAgent == nil {
|
|
return "No default agent configured", true
|
|
}
|
|
oldModel := defaultAgent.Model
|
|
defaultAgent.Model = value
|
|
return fmt.Sprintf("Switched model from %s to %s", oldModel, value), true
|
|
case "channel":
|
|
if al.channelManager == nil {
|
|
return "Channel manager not initialized", true
|
|
}
|
|
if _, exists := al.channelManager.GetChannel(value); !exists && value != "cli" {
|
|
return fmt.Sprintf("Channel '%s' not found or not enabled", value), true
|
|
}
|
|
return fmt.Sprintf("Switched target channel to %s", value), true
|
|
default:
|
|
return fmt.Sprintf("Unknown switch target: %s", target), true
|
|
}
|
|
|
|
case "/session":
|
|
return al.handleSessionCommand(args), true
|
|
|
|
case "/skills":
|
|
return al.handleSkillsCommand(), true
|
|
|
|
case "/plan":
|
|
resp, handled := al.handlePlanCommand(args)
|
|
return resp, handled
|
|
}
|
|
|
|
return "", false
|
|
}
|
|
|
|
// handleSessionCommand returns usage statistics or resets them.
|
|
func (al *AgentLoop) handleSessionCommand(args []string) string {
|
|
if al.stats == nil {
|
|
return "Stats tracking is disabled. Start with --stats flag to enable.\nUsage: picoclaw gateway --stats"
|
|
}
|
|
|
|
if len(args) > 0 && args[0] == "reset" {
|
|
al.stats.Reset()
|
|
return "Session statistics have been reset."
|
|
}
|
|
|
|
s := al.stats.GetStats()
|
|
return fmt.Sprintf("Session Statistics\n\nToday (%s):\n Prompts: %d\n LLM calls: %d\n Tokens: %s (in: %s, out: %s)\n\nAll time (since %s):\n Prompts: %d\n LLM calls: %d\n Tokens: %s (in: %s, out: %s)",
|
|
s.Today.Date,
|
|
s.Today.Prompts,
|
|
s.Today.Requests,
|
|
stats.FormatTokenCount(s.Today.TotalTokens),
|
|
stats.FormatTokenCount(s.Today.PromptTokens),
|
|
stats.FormatTokenCount(s.Today.CompletionTokens),
|
|
s.Since.Format("2006-01-02"),
|
|
s.TotalPrompts,
|
|
s.TotalRequests,
|
|
stats.FormatTokenCount(s.TotalTokens),
|
|
stats.FormatTokenCount(s.TotalPromptTokens),
|
|
stats.FormatTokenCount(s.TotalCompletionTokens),
|
|
)
|
|
}
|
|
|
|
// expandSkillCommand detects "/skill <name> [message]" and returns:
|
|
// - expanded: full content with SKILL.md injected (for LLM)
|
|
// - compact: skill name tag + user message only (for history)
|
|
// - ok: whether expansion happened
|
|
func (al *AgentLoop) expandSkillCommand(msg bus.InboundMessage) (expanded string, compact string, ok bool) {
|
|
content := strings.TrimSpace(msg.Content)
|
|
if !strings.HasPrefix(content, "/skill ") {
|
|
return "", "", false
|
|
}
|
|
|
|
// Parse: /skill <name> [message]
|
|
rest := strings.TrimSpace(content[7:]) // len("/skill ") == 7
|
|
parts := strings.SplitN(rest, " ", 2)
|
|
if len(parts) == 0 || parts[0] == "" {
|
|
return "", "", false
|
|
}
|
|
|
|
skillName := parts[0]
|
|
userMessage := ""
|
|
if len(parts) > 1 {
|
|
userMessage = strings.TrimSpace(parts[1])
|
|
}
|
|
|
|
agent := al.registry.GetDefaultAgent()
|
|
if agent == nil {
|
|
return "", "", false
|
|
}
|
|
|
|
skillContent, found := agent.ContextBuilder.LoadSkill(skillName)
|
|
if !found {
|
|
return "", "", false
|
|
}
|
|
|
|
tag := fmt.Sprintf("[Skill: %s]", skillName)
|
|
|
|
// Build expanded message: skill instructions + user message (for LLM)
|
|
var sb strings.Builder
|
|
sb.WriteString(tag)
|
|
sb.WriteString("\n\n")
|
|
sb.WriteString(skillContent)
|
|
if userMessage != "" {
|
|
sb.WriteString("\n\n---\n\n")
|
|
sb.WriteString(userMessage)
|
|
}
|
|
|
|
// Build compact form: skill name tag + user message only (for history)
|
|
compactForm := tag
|
|
if userMessage != "" {
|
|
compactForm = tag + "\n" + userMessage
|
|
}
|
|
|
|
return sb.String(), compactForm, true
|
|
}
|
|
|
|
// handleSkillsCommand lists all available skills.
|
|
func (al *AgentLoop) handleSkillsCommand() string {
|
|
agent := al.registry.GetDefaultAgent()
|
|
if agent == nil {
|
|
return "No agent configured."
|
|
}
|
|
|
|
skillsList := agent.ContextBuilder.ListSkills()
|
|
if len(skillsList) == 0 {
|
|
return "No skills available.\nAdd skills to your workspace/skills/ directory."
|
|
}
|
|
|
|
var sb strings.Builder
|
|
sb.WriteString("Available Skills\n\n")
|
|
for _, s := range skillsList {
|
|
sb.WriteString(fmt.Sprintf("**%s** (%s)\n", s.Name, s.Source))
|
|
if s.Description != "" {
|
|
sb.WriteString(fmt.Sprintf("```\n%s\n```\n", s.Description))
|
|
}
|
|
}
|
|
sb.WriteString("\nUse: /skill <name> [message]")
|
|
return sb.String()
|
|
}
|
|
|
|
// handlePlanCommand handles /plan subcommands that can be resolved instantly.
|
|
// Returns (response, handled). For "/plan <task>" (new plan), it returns
|
|
// ("", false) so the message falls through to the LLM queue, where
|
|
// expandPlanCommand writes the seed and rewrites the content.
|
|
func (al *AgentLoop) handlePlanCommand(args []string) (string, bool) {
|
|
agent := al.registry.GetDefaultAgent()
|
|
if agent == nil {
|
|
return "No agent configured.", true
|
|
}
|
|
|
|
if len(args) == 0 {
|
|
// /plan — show current plan
|
|
return agent.ContextBuilder.FormatPlanDisplay(), true
|
|
}
|
|
|
|
sub := args[0]
|
|
switch sub {
|
|
case "clear":
|
|
if !agent.ContextBuilder.HasActivePlan() {
|
|
return "No active plan to clear.", true
|
|
}
|
|
if err := agent.ContextBuilder.ClearMemory(); err != nil {
|
|
return fmt.Sprintf("Error clearing plan: %v", err), true
|
|
}
|
|
return "Plan cleared.", true
|
|
|
|
case "done":
|
|
if !agent.ContextBuilder.HasActivePlan() {
|
|
return "No active plan.", true
|
|
}
|
|
if len(args) < 2 {
|
|
return "Usage: /plan done <step number>", true
|
|
}
|
|
stepNum, err := strconv.Atoi(args[1])
|
|
if err != nil || stepNum < 1 {
|
|
return "Step number must be a positive integer.", true
|
|
}
|
|
phase := agent.ContextBuilder.GetCurrentPhase()
|
|
if err := agent.ContextBuilder.MarkStep(phase, stepNum); err != nil {
|
|
return fmt.Sprintf("Error: %v", err), true
|
|
}
|
|
return fmt.Sprintf("Marked step %d in phase %d as done.", stepNum, phase), true
|
|
|
|
case "add":
|
|
if !agent.ContextBuilder.HasActivePlan() {
|
|
return "No active plan.", true
|
|
}
|
|
if len(args) < 2 {
|
|
return "Usage: /plan add <step description>", true
|
|
}
|
|
desc := strings.Join(args[1:], " ")
|
|
phase := agent.ContextBuilder.GetCurrentPhase()
|
|
if err := agent.ContextBuilder.AddStep(phase, desc); err != nil {
|
|
return fmt.Sprintf("Error: %v", err), true
|
|
}
|
|
return fmt.Sprintf("Added step to phase %d: %s", phase, desc), true
|
|
|
|
case "start":
|
|
if !agent.ContextBuilder.HasActivePlan() {
|
|
return "No active plan.", true
|
|
}
|
|
status := agent.ContextBuilder.GetPlanStatus()
|
|
if status == "executing" {
|
|
return "Plan is already executing.", true
|
|
}
|
|
if status != "interviewing" && status != "review" {
|
|
return fmt.Sprintf("Cannot start from status %q.", status), true
|
|
}
|
|
if agent.ContextBuilder.GetTotalPhases() == 0 {
|
|
return "Cannot start: no phases defined yet. Complete the interview first.", true
|
|
}
|
|
if err := agent.ContextBuilder.SetPlanStatus("executing"); err != nil {
|
|
return fmt.Sprintf("Error: %v", err), true
|
|
}
|
|
al.planStartPending = true
|
|
return "Plan approved. Executing.", true
|
|
|
|
case "next":
|
|
if !agent.ContextBuilder.HasActivePlan() {
|
|
return "No active plan.", true
|
|
}
|
|
if err := agent.ContextBuilder.AdvancePhase(); err != nil {
|
|
return fmt.Sprintf("Error: %v", err), true
|
|
}
|
|
phase := agent.ContextBuilder.GetCurrentPhase()
|
|
return fmt.Sprintf("Advanced to phase %d.", phase), true
|
|
|
|
default:
|
|
// /plan <task description> — start new plan
|
|
// Block if a plan is already active (fast-path error).
|
|
if agent.ContextBuilder.HasActivePlan() {
|
|
return "A plan is already active. Use /plan clear first.", true
|
|
}
|
|
// Not handled here — let the message flow to the LLM queue.
|
|
// expandPlanCommand will write the seed and rewrite the content.
|
|
return "", false
|
|
}
|
|
}
|
|
|
|
// isPlanPreExecution returns true if the plan is in a pre-execution state
|
|
// (interviewing or review) where tool restrictions and iteration caps apply.
|
|
func isPlanPreExecution(status string) bool {
|
|
return status == "interviewing" || status == "review"
|
|
}
|
|
|
|
// isToolAllowedDuringInterview checks whether a tool call is permitted while the
|
|
// plan is in a pre-execution state. Read-type tools are always allowed. Write-type
|
|
// tools (edit_file, append_file, write_file) are only allowed when targeting MEMORY.md.
|
|
// Uses normalized names so "readfile" matches "read_file", etc.
|
|
func isToolAllowedDuringInterview(toolName string, args map[string]interface{}) bool {
|
|
norm := tools.NormalizeToolName(toolName)
|
|
|
|
// Read-type tools: always allowed
|
|
switch norm {
|
|
case "readfile", "listdir", "websearch", "webfetch":
|
|
return true
|
|
}
|
|
|
|
// Write-type tools: allowed only when targeting MEMORY.md
|
|
switch norm {
|
|
case "editfile", "appendfile", "writefile":
|
|
path, _ := args["path"].(string)
|
|
return strings.HasSuffix(path, "MEMORY.md")
|
|
}
|
|
|
|
return false
|
|
}
|
|
|
|
// expandPlanCommand detects "/plan <task>" (new plan start) and:
|
|
// - writes the interview seed to MEMORY.md
|
|
// - rewrites the message content for the LLM
|
|
// - returns a compact form for session history
|
|
//
|
|
// This follows the same pattern as expandSkillCommand: the message is
|
|
// rewritten before reaching the LLM, so the AI sees the task description
|
|
// while the system prompt contains the interview guide.
|
|
func (al *AgentLoop) expandPlanCommand(msg bus.InboundMessage) (expanded string, compact string, ok bool) {
|
|
content := strings.TrimSpace(msg.Content)
|
|
if !strings.HasPrefix(content, "/plan ") {
|
|
return "", "", false
|
|
}
|
|
|
|
task := strings.TrimSpace(content[6:]) // len("/plan ") == 6
|
|
if task == "" {
|
|
return "", "", false
|
|
}
|
|
|
|
// Known subcommands are handled by handlePlanCommand (fast path).
|
|
firstWord := strings.Fields(task)[0]
|
|
switch firstWord {
|
|
case "clear", "done", "add", "start", "next":
|
|
return "", "", false
|
|
}
|
|
|
|
agent := al.registry.GetDefaultAgent()
|
|
if agent == nil {
|
|
return "", "", false
|
|
}
|
|
|
|
// If a plan is already active, don't expand — handleCommand will
|
|
// catch it and return the error on the fast path.
|
|
if agent.ContextBuilder.HasActivePlan() {
|
|
return "", "", false
|
|
}
|
|
|
|
// Write the interview seed
|
|
seed := BuildInterviewSeed(task)
|
|
if err := agent.ContextBuilder.WriteMemory(seed); err != nil {
|
|
return "", "", false
|
|
}
|
|
|
|
// Expanded: the task description goes to LLM.
|
|
// The system prompt already contains the interview guide.
|
|
expanded = task
|
|
compact = fmt.Sprintf("[Plan: %s]", utils.Truncate(task, 80))
|
|
return expanded, compact, true
|
|
}
|
|
|
|
// extractPeer extracts the routing peer from inbound message metadata.
|
|
func extractPeer(msg bus.InboundMessage) *routing.RoutePeer {
|
|
peerKind := msg.Metadata["peer_kind"]
|
|
if peerKind == "" {
|
|
return nil
|
|
}
|
|
peerID := msg.Metadata["peer_id"]
|
|
if peerID == "" {
|
|
if peerKind == "direct" {
|
|
peerID = msg.SenderID
|
|
} else {
|
|
peerID = msg.ChatID
|
|
}
|
|
}
|
|
return &routing.RoutePeer{Kind: peerKind, ID: peerID}
|
|
}
|
|
|
|
// extractParentPeer extracts the parent peer (reply-to) from inbound message metadata.
|
|
func extractParentPeer(msg bus.InboundMessage) *routing.RoutePeer {
|
|
parentKind := msg.Metadata["parent_peer_kind"]
|
|
parentID := msg.Metadata["parent_peer_id"]
|
|
if parentKind == "" || parentID == "" {
|
|
return nil
|
|
}
|
|
return &routing.RoutePeer{Kind: parentKind, ID: parentID}
|
|
}
|