feat: Add intelligent auto-router and enhanced integrations
- Add intelligent-router.sh hook for automatic agent routing - Add AUTO-TRIGGER-SUMMARY.md documentation - Add FINAL-INTEGRATION-SUMMARY.md documentation - Complete Prometheus integration (6 commands + 4 tools) - Complete Dexto integration (12 commands + 5 tools) - Enhanced Ralph with access to all agents - Fix /clawd command (removed disable-model-invocation) - Update hooks.json to v5 with intelligent routing - 291 total skills now available - All 21 commands with automatic routing 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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admin
157
dexto/agents/logger-agent/logger-agent.yml
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157
dexto/agents/logger-agent/logger-agent.yml
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# Request Logger Agent Configuration
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# Demonstrates custom plugin integration with complete lifecycle testing
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# Logs all user requests, tool calls, and assistant responses to ~/.dexto/logs/request-logger.log
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# MCP Servers - basic filesystem and browser tools
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mcpServers:
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filesystem:
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type: stdio
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command: npx
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args:
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- -y
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- "@modelcontextprotocol/server-filesystem"
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- .
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playwright:
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type: stdio
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command: npx
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args:
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- -y
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- "@playwright/mcp@latest"
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# System prompt configuration
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systemPrompt:
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contributors:
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- id: primary
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type: static
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priority: 0
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content: |
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You are a helpful AI assistant with comprehensive logging enabled.
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All your interactions (requests, tool calls, and responses) are being logged to help understand your behavior.
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Use tools when appropriate to answer user queries. You can use multiple tools in sequence to solve complex problems.
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After each tool result, determine if you need more information or can provide a final answer.
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- id: date
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type: dynamic
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priority: 10
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source: date
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enabled: true
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# Memory configuration - controls how memories are included in system prompt
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memories:
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enabled: true
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priority: 40
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includeTimestamps: false
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includeTags: true
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limit: 10
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pinnedOnly: false
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# Optional greeting shown at chat start
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greeting: "Hi! I'm the Logger Agent — all interactions are being logged for analysis. How can I help?"
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# LLM configuration
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llm:
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provider: openai
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model: gpt-5-mini
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apiKey: $OPENAI_API_KEY
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# Storage configuration
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storage:
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cache:
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type: in-memory
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database:
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type: sqlite
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blob:
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type: local # CLI provides storePath automatically
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maxBlobSize: 52428800
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maxTotalSize: 1073741824
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cleanupAfterDays: 30
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# Tool confirmation settings
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toolConfirmation:
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mode: manual
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# timeout: omitted = infinite wait
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allowedToolsStorage: memory
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# Elicitation configuration - required for ask_user tool
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elicitation:
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enabled: true
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# timeout: omitted = infinite wait
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# Internal tools
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internalTools:
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- ask_user
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# Internal resources configuration
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internalResources:
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enabled: true
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resources:
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- type: filesystem
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paths: ["."]
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maxFiles: 50
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maxDepth: 3
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includeHidden: false
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includeExtensions: [".txt", ".md", ".json", ".yaml", ".yml", ".js", ".ts", ".py", ".html", ".css"]
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- type: blob
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# Plugin system configuration
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plugins:
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# Built-in plugins
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contentPolicy:
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priority: 10
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blocking: true
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maxInputChars: 50000
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redactEmails: true
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redactApiKeys: true
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enabled: true
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responseSanitizer:
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priority: 900
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blocking: false
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redactEmails: true
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redactApiKeys: true
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maxResponseLength: 100000
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enabled: true
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# Custom Request Logger Plugin
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custom:
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- name: request-logger
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module: "${{dexto.agent_dir}}/plugins/request-logger.ts"
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enabled: true
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blocking: false # Non-blocking - we just want to observe, not interfere
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priority: 5 # Run early to capture original data before other plugins modify it
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config: {} # Empty config uses defaults: ~/.dexto/logs/request-logger.log
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# Prompts - shown as clickable buttons in WebUI
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prompts:
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- type: inline
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id: simple-question
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title: "🤔 Ask a Simple Question"
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description: "Test basic request/response logging"
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prompt: "What is the capital of France?"
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category: learning
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priority: 9
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showInStarters: true
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- type: inline
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id: tool-usage
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title: "🔧 Use a Tool"
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description: "Test tool call and result logging"
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prompt: "List the files in the current directory"
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category: tools
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priority: 8
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showInStarters: true
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- type: inline
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id: multi-step
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title: "🎯 Multi-Step Task"
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description: "Test logging across multiple tool calls"
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prompt: "Create a new file called test.txt with the content 'Hello from Logger Agent' and then read it back to me"
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category: tools
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priority: 7
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showInStarters: true
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- type: inline
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id: check-logs
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title: "📋 Check the Logs"
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description: "View the request logger output"
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prompt: "Can you read the file at ~/.dexto/logs/request-logger.log and show me the last 50 lines?"
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category: tools
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priority: 6
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showInStarters: true
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186
dexto/agents/logger-agent/plugins/request-logger.ts
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186
dexto/agents/logger-agent/plugins/request-logger.ts
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import type {
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DextoPlugin,
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BeforeLLMRequestPayload,
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BeforeResponsePayload,
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BeforeToolCallPayload,
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AfterToolResultPayload,
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PluginResult,
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PluginExecutionContext,
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} from '@core/plugins/types.js';
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import { promises as fs } from 'fs';
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import { homedir } from 'os';
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import { join } from 'path';
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/**
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* Request Logger Plugin
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*
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* Logs all user requests and assistant responses to a file for debugging and analysis.
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* Demonstrates the complete plugin lifecycle including resource management.
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*
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* Features:
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* - Logs user input (text, images, files)
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* - Logs tool calls and results
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* - Logs assistant responses with token usage
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* - Proper resource cleanup on shutdown
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*/
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export class RequestLoggerPlugin implements DextoPlugin {
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private logFilePath: string = '';
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private logFileHandle: fs.FileHandle | null = null;
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private requestCount: number = 0;
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/**
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* Initialize plugin - create log directory and open log file
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*/
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async initialize(config: Record<string, any>): Promise<void> {
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// Default log path: ~/.dexto/logs/request-logger.log
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const logDir = config.logDir || join(homedir(), '.dexto', 'logs');
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const logFileName = config.logFileName || 'request-logger.log';
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this.logFilePath = join(logDir, logFileName);
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// Ensure log directory exists
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await fs.mkdir(logDir, { recursive: true });
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// Open log file in append mode
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this.logFileHandle = await fs.open(this.logFilePath, 'a');
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// Write initialization header
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await this.writeLog('='.repeat(80));
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await this.writeLog(`Request Logger initialized at ${new Date().toISOString()}`);
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await this.writeLog(`Log file: ${this.logFilePath}`);
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await this.writeLog('='.repeat(80));
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}
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/**
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* Log user input before it's sent to the LLM
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*/
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async beforeLLMRequest(
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payload: BeforeLLMRequestPayload,
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context: PluginExecutionContext
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): Promise<PluginResult> {
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this.requestCount++;
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await this.writeLog('');
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await this.writeLog(`[${this.requestCount}] USER REQUEST at ${new Date().toISOString()}`);
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await this.writeLog(`Session: ${payload.sessionId || 'unknown'}`);
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await this.writeLog(`User: ${context.userId || 'anonymous'}`);
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await this.writeLog(`Model: ${context.llmConfig.provider}/${context.llmConfig.model}`);
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await this.writeLog('-'.repeat(40));
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await this.writeLog(`Text: ${payload.text}`);
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if (payload.imageData) {
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await this.writeLog(
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`Image: ${payload.imageData.mimeType} (${payload.imageData.image.length} chars)`
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);
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}
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if (payload.fileData) {
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await this.writeLog(
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`File: ${payload.fileData.filename || 'unknown'} (${payload.fileData.mimeType})`
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);
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}
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await this.writeLog('-'.repeat(40));
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return { ok: true };
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}
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/**
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* Log tool calls before execution
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*/
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async beforeToolCall(
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payload: BeforeToolCallPayload,
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context: PluginExecutionContext
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): Promise<PluginResult> {
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await this.writeLog('');
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await this.writeLog(`[${this.requestCount}] TOOL CALL at ${new Date().toISOString()}`);
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await this.writeLog(`Tool: ${payload.toolName}`);
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await this.writeLog(`Call ID: ${payload.callId || 'unknown'}`);
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await this.writeLog(`Arguments: ${JSON.stringify(payload.args, null, 2)}`);
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return { ok: true };
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}
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/**
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* Log tool results after execution
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*/
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async afterToolResult(
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payload: AfterToolResultPayload,
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context: PluginExecutionContext
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): Promise<PluginResult> {
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await this.writeLog('');
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await this.writeLog(`[${this.requestCount}] TOOL RESULT at ${new Date().toISOString()}`);
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await this.writeLog(`Tool: ${payload.toolName}`);
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await this.writeLog(`Call ID: ${payload.callId || 'unknown'}`);
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await this.writeLog(`Success: ${payload.success}`);
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const resultStr =
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typeof payload.result === 'string'
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? payload.result.substring(0, 500) + (payload.result.length > 500 ? '...' : '')
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: JSON.stringify(payload.result, null, 2).substring(0, 500);
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await this.writeLog(`Result: ${resultStr}`);
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return { ok: true };
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}
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/**
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* Log assistant response before it's sent to the user
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*/
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async beforeResponse(
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payload: BeforeResponsePayload,
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context: PluginExecutionContext
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): Promise<PluginResult> {
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await this.writeLog('');
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await this.writeLog(
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`[${this.requestCount}] ASSISTANT RESPONSE at ${new Date().toISOString()}`
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);
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await this.writeLog(`Session: ${payload.sessionId || 'unknown'}`);
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await this.writeLog(`Model: ${payload.provider}/${payload.model || 'unknown'}`);
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if (payload.tokenUsage) {
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await this.writeLog(
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`Tokens: ${payload.tokenUsage.input} input, ${payload.tokenUsage.output} output`
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);
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}
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await this.writeLog('-'.repeat(40));
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await this.writeLog(`Content: ${payload.content}`);
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if (payload.reasoning) {
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await this.writeLog('-'.repeat(40));
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await this.writeLog(`Reasoning: ${payload.reasoning}`);
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}
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await this.writeLog('-'.repeat(40));
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return { ok: true };
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}
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/**
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* Cleanup - close log file handle
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*/
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async cleanup(): Promise<void> {
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await this.writeLog('');
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await this.writeLog('='.repeat(80));
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await this.writeLog(`Request Logger shutting down at ${new Date().toISOString()}`);
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await this.writeLog(`Total requests logged: ${this.requestCount}`);
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await this.writeLog('='.repeat(80));
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if (this.logFileHandle) {
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await this.logFileHandle.close();
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this.logFileHandle = null;
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}
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}
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/**
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* Helper method to write to log file
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*/
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private async writeLog(message: string): Promise<void> {
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if (this.logFileHandle) {
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await this.logFileHandle.write(message + '\n');
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}
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}
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}
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// Export the plugin class directly for the plugin manager to instantiate
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export default RequestLoggerPlugin;
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