Merge branch 'main' of github.com:boudra/voice-dev
This commit is contained in:
@@ -2,6 +2,7 @@ import { View, Text, Pressable, SectionList, Modal, RefreshControl, type Section
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import { useCallback, useState, useMemo } from "react";
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import { router } from "expo-router";
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import { StyleSheet, useUnistyles } from "react-native-unistyles";
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import { Check } from "lucide-react-native";
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import { formatTimeAgo } from "@/utils/time";
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import { getAgentStatusColor, getAgentStatusLabel } from "@/utils/agent-status";
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import { getAgentProviderDefinition } from "@server/server/agent/provider-manifest";
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@@ -102,6 +103,24 @@ export function AgentList({ agents, isRefreshing = false, onRefresh }: AgentList
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setActionAgent(null);
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}, [actionAgent, deleteAgent]);
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const handleClearAllAttention = useCallback((agentsInSection: AggregatedAgent[]) => {
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// Group agents by serverId for batch clearing
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const agentsByServer = new Map<string, string[]>();
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for (const agent of agentsInSection) {
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const agentIds = agentsByServer.get(agent.serverId) || [];
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agentIds.push(agent.id);
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agentsByServer.set(agent.serverId, agentIds);
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}
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// Send one batch request per server
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for (const [serverId, agentIds] of agentsByServer) {
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const session = useSessionStore.getState().sessions[serverId];
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if (session?.ws) {
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session.ws.clearAgentAttention(agentIds);
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}
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}
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}, []);
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const renderAgentItem = useCallback<SectionListRenderItem<AggregatedAgent, AgentSection>>(
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({ item: agent }) => {
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const statusColor = getAgentStatusColor(agent.status);
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@@ -183,9 +202,20 @@ export function AgentList({ agents, isRefreshing = false, onRefresh }: AgentList
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({ section }: { section: AgentSection }) => (
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<View style={styles.sectionHeader}>
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<Text style={styles.sectionTitle}>{section.title}</Text>
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{section.title === "Requires Attention" && (
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<Pressable
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style={({ pressed }) => [
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styles.clearAllButton,
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pressed && styles.clearAllButtonPressed,
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]}
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onPress={() => handleClearAllAttention(section.data)}
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>
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<Check size={16} color={theme.colors.mutedForeground} />
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</Pressable>
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)}
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</View>
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),
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[]
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[handleClearAllAttention, theme.colors.mutedForeground]
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);
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return (
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@@ -267,6 +297,9 @@ const styles = StyleSheet.create((theme) => ({
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paddingBottom: theme.spacing[4],
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},
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sectionHeader: {
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flexDirection: "row",
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alignItems: "center",
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justifyContent: "space-between",
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paddingTop: theme.spacing[2],
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paddingBottom: theme.spacing[2],
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paddingHorizontal: theme.spacing[2],
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@@ -277,6 +310,14 @@ const styles = StyleSheet.create((theme) => ({
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color: theme.colors.mutedForeground,
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textTransform: "uppercase",
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},
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clearAllButton: {
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padding: theme.spacing[1],
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borderRadius: theme.borderRadius.md,
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},
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clearAllButtonPressed: {
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opacity: 0.5,
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backgroundColor: theme.colors.muted,
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},
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agentItem: {
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paddingVertical: theme.spacing[4],
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paddingHorizontal: theme.spacing[4],
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@@ -23,7 +23,7 @@ export interface UseWebSocketReturn {
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) => () => void;
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sendPing: () => void;
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sendUserMessage: (message: string) => void;
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clearAgentAttention: (agentId: string) => void;
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clearAgentAttention: (agentId: string | string[]) => void;
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subscribeConnectionStatus?: (listener: (status: ConnectionStatusSnapshot) => void) => () => void;
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getConnectionState?: () => ConnectionStatusSnapshot;
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}
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@@ -291,7 +291,7 @@ export function useWebSocket(url: string, conversationId?: string | null): UseWe
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);
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const clearAgentAttention = useCallback(
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(agentId: string) => {
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(agentId: string | string[]) => {
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send({
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type: "session",
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message: {
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@@ -76,6 +76,133 @@ const VALID_CLAUDE_MODES = new Set(
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DEFAULT_MODES.map((mode) => mode.id)
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);
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/**
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* Returns orchestrator mode instructions to append to the system prompt.
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* These instructions are from CLAUDE.md and guide agents on how to work
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* effectively in this repository.
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*/
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function getOrchestratorModeInstructions(): string {
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return `
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## Orchestrator Mode Instructions
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When asked to go into orchestrator mode, you must **only accomplish tasks by managing other agents**. Do NOT perform the work yourself.
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### Agent Control Best Practices
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- **When agent control tool calls fail**, make sure you list agents before trying to launch another one. It could just be a wait timeout.
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- **Always prefix agent titles** so we can tell which ones are running under you (e.g., "🎭 Feature Implementation", "🎭 Design Discussion").
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- **Launch agents in the most permissive mode**: Use full access or bypass permissions mode.
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- **Set cwd to the repository root** - The agent's working directory should usually be the repo root.
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### Agent Use Cases
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You can run agents to:
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- **Implement a task** - Spawn an agent to write code and implement features
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- **Have a design discussion** - Discuss architecture and design decisions
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- **Have a pairing session** - Collaborate on problem-solving
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- **Test some feature** - Run tests and verify functionality
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- **Do investigation** - Research and explore the codebase
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### Clarifying Ambiguous Requests
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**CRITICAL:** When user requests are ambiguous or unclear:
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1. **Research first** - Spawn an investigation agent to understand the current state
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2. **Ask clarifying questions** - After research, ask the user specific questions about what they want
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3. **Present options** - Offer multiple approaches with trade-offs
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4. **Get explicit confirmation** - Never assume what the user wants
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### Investigation vs Implementation
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**CRITICAL:** When asked to investigate:
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- **Investigation agents MUST NOT fix issues** - They should only identify, document, and report problems
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- **Always ask for confirmation** - After investigation, present findings and ask: "Should I proceed with implementing fixes?"
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- **Only implement if explicitly requested** - Don't auto-fix without user approval
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### Strategic Planning and Task Breakdown
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**CRITICAL:** For large or complex tasks, you MUST plan strategically before spawning agents:
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1. **Break down the work** into small, focused tasks
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2. **Design the agent workflow**: What agents will you need? In what order?
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3. **Plan checkpoints**: Where do you need review agents? Test agents? Integration points?
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4. **Ensure each agent commits their work** before moving to the next phase
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5. **Plan for validation**: How will you verify each piece works before proceeding?
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Example workflow for a large feature:
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- Investigation agent → Design discussion agent → Multiple implementation agents (one per component) → Test agent → Review agent → Integration agent
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### Rigorous Agent Interrogation
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**CRITICAL:** Agents start with ZERO context about your task. You must always provide complete context in your initial prompt.
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When working with agents, you must dig deep and challenge them rigorously:
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#### For Implementation Agents
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- **Don't accept surface-level completion**: Ask them to show you the code they implemented
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- **Trace the implementation**: Ask them to walk through the code flow step by step
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- **Uncover gaps**: Dig hard to find possible gaps in their understanding
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- "Show me exactly where you handle error case X"
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- "What happens if the user does Y before Z?"
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- "Walk me through the data flow from input to output"
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- **Ask for alternatives**: "Provide 3 different solutions to this problem and explain the trade-offs of each"
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- **Rank and compare**: "Rank these approaches by performance, maintainability, and complexity"
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- **Challenge their decisions**: Play devil's advocate on their architectural choices
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- "Why not use approach X instead?"
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- "What are the downsides of your solution?"
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- "How will this scale?"
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#### For Investigation/Debugging Agents
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- **Don't stop at the first answer**: Keep digging deeper
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- **Explore different angles**: "What are 3 other possible causes?"
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- **Request proof**: "Show me the specific code that proves this hypothesis"
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- **Challenge assumptions**: "How do you know that's the root cause? What else could it be?"
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- **Ask for comprehensive analysis**: "What are all the places in the codebase that could be affected?"
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#### For Review Agents
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- **Security review**: "What are the security implications? Any OWASP vulnerabilities?"
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- **Edge cases**: "What edge cases are not handled?"
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- **Performance**: "Where are the performance bottlenecks?"
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- **Maintainability**: "How maintainable is this code? What would make it better?"
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### Debugging with Logging and Playwright
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**CRITICAL:** When debugging frontend or server issues:
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- **Frontend debugging**: Use Playwright MCP to interact with the app at \`http://localhost:8081\`
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- Take screenshots to verify UI state
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- Click through flows to reproduce issues
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- Use browser console to check for errors
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- Verify network requests and responses
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- **Server debugging**: Add strategic logging to trace execution
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- Log request/response payloads
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- Log state transitions
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- Log error conditions
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- Use server logs to correlate with frontend behavior
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- **Full-stack debugging**: Combine both approaches
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- Use Playwright to trigger frontend actions
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- Check server logs to see backend behavior
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- Verify data flow from client → server → client
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### Agent Management Principles
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- **Keep agents focused** - Each agent should have a clear, specific responsibility
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- **You can talk to them** - Send prompts and guidance as they work
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- **Monitor progress** - Check status and provide feedback
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- **Always provide context** - Remember: agents start with zero knowledge of your task
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- **Verify work rigorously** - Don't trust, verify. Ask agents to prove their work
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- **Commit frequently** - Ensure each agent commits their changes before moving on
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- **Plan for quality gates** - Use test and review agents as checkpoints
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**CRITICAL: ALWAYS RUN TYPECHECK AFTER EVERY CHANGE.**
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`;
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}
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type ClaudeAgentConfig = AgentSessionConfig & { provider: "claude" };
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export type ClaudeContentChunk = { type: string; [key: string]: any };
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@@ -518,9 +645,11 @@ class ClaudeAgentSession implements AgentSession {
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agents: this.defaults?.agents,
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canUseTool: this.handlePermissionRequest,
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// Use Claude Code preset system prompt and load CLAUDE.md files
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// Append orchestrator mode instructions for agents
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systemPrompt: {
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type: "preset",
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preset: "claude_code",
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append: getOrchestratorModeInstructions(),
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},
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settingSources: ["project", "user"],
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stderr: (data: string) => {
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@@ -459,7 +459,7 @@ export const FileExplorerRequestSchema = z.object({
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export const ClearAgentAttentionMessageSchema = z.object({
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type: z.literal("clear_agent_attention"),
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agentId: z.string(),
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agentId: z.union([z.string(), z.array(z.string())]),
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});
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export const SessionInboundMessageSchema = z.discriminatedUnion("type", [
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@@ -1851,13 +1851,16 @@ export class Session {
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/**
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* Handle clearing agent attention flag
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*/
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private async handleClearAgentAttention(agentId: string): Promise<void> {
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private async handleClearAgentAttention(agentId: string | string[]): Promise<void> {
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const agentIds = Array.isArray(agentId) ? agentId : [agentId];
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console.log(
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`[Session ${this.clientId}] Clearing attention for agent ${agentId}`
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`[Session ${this.clientId}] Clearing attention for ${agentIds.length} agent(s): ${agentIds.join(", ")}`
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);
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try {
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await this.agentManager.clearAgentAttention(agentId);
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await Promise.all(
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agentIds.map((id) => this.agentManager.clearAgentAttention(id))
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);
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} catch (error: any) {
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console.error(
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`[Session ${this.clientId}] Failed to clear agent attention:`,
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