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
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dexto/agents/default-agent.yml
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dexto/agents/default-agent.yml
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# describes the mcp servers to use
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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 - defines the agent's behavior and instructions
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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 access to tools.
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Use these tools when appropriate to answer user queries.
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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 (UI can consume this)
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greeting: "Hi! I'm Dexto — how can I help today?"
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# LLM configuration - describes the language model to use
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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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# Optional: Control which media types are expanded for LLM consumption
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# If omitted, uses model capabilities from registry (recommended default)
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# Supports MIME patterns with wildcards (e.g., "image/*", "video/mp4")
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# allowedMediaTypes:
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# - "image/*" # All images (png, jpg, gif, etc.)
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# - "application/pdf" # PDF documents
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# - "audio/*" # All audio formats
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# Note: Unsupported types become descriptive placeholders like: [Video: demo.mp4 (5.2 MB)]
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# Logger configuration - multi-transport logging system
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# The CLI automatically adds a file transport for agent-specific logs
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# logger:
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# level: info # error | warn | info | debug | silly
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# transports:
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# - type: console
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# colorize: true
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# - type: file
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# path: ./logs/agent.log
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# maxSize: 10485760 # 10MB
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# maxFiles: 5
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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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# path: ./data/dexto.db # Optional: customize database location
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blob:
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type: local # CLI provides storePath automatically
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# storePath: ./data/blobs # Optional: customize blob storage location (defaults to agent-specific path)
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maxBlobSize: 52428800 # 50MB per blob
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maxTotalSize: 1073741824 # 1GB total storage
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cleanupAfterDays: 30
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toolConfirmation:
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mode: manual
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# timeout: <optional> # Time to wait for approval (ms). Omit for no timeout (wait indefinitely)
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allowedToolsStorage: memory # 'memory' or 'storage' for persisting allowed tools
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# Optional: Static tool policies for fine-grained allow/deny control
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toolPolicies:
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# Tools that never require approval (low-risk, common operations)
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alwaysAllow:
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- internal--ask_user
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- mcp--read_file
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- mcp--list_directory
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- mcp--list_allowed_directories
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# Tools that are always denied (high-risk, destructive operations)
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# Deny list takes precedence over allow list
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# alwaysDeny:
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# - mcp--filesystem--delete_file
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# - mcp--playwright--execute_script
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# Elicitation configuration - separate from tool confirmation
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# Allows auto-approve for tools while still supporting user input requests
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elicitation:
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enabled: true # Enable ask_user tool and MCP server elicitations
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# timeout: <optional> # Time to wait for user input (ms). Omit for no timeout (wait indefinitely)
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# Internal tools - built-in Dexto capabilities
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internalTools:
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- ask_user # Allows the agent to ask you questions and collect structured input
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- delegate_to_url
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- list_resources
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- get_resource
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# Internal resources configuration - manages file system access and blob storage
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# NOTE: Blob storage capacity and backend settings are in the 'storage.blob' section above
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internalResources:
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enabled: true
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resources:
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# Filesystem resource - provides read access to local files for the agent
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- type: filesystem
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paths: ["."] # Directories to expose
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maxFiles: 50 # Maximum number of files to index
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maxDepth: 3 # Maximum directory depth to traverse
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includeHidden: false # Include hidden files/directories
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includeExtensions: [".txt", ".md", ".json", ".yaml", ".yml", ".js", ".ts", ".py", ".html", ".css"]
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# Blob resource - enables large file upload/storage (settings in storage.blob section above)
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- type: blob
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# Plugin system - built-in plugins for content policy and response sanitization
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# plugins:
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# # ContentPolicy - validates and sanitizes input before sending to LLM
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# contentPolicy:
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# priority: 10 # Lower priority = runs first
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# blocking: true # Blocks execution if validation fails
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# maxInputChars: 50000 # Maximum input length (characters)
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# redactEmails: true # Redact email addresses from input
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# redactApiKeys: true # Redact potential API keys from input
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# enabled: true # Enable this plugin
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# # ResponseSanitizer - sanitizes LLM responses before returning to user
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# responseSanitizer:
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# priority: 900 # Higher priority = runs near the end
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# blocking: false # Non-blocking (logs warnings but doesn't stop)
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# redactEmails: true # Redact email addresses from responses
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# redactApiKeys: true # Redact potential API keys from responses
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# maxResponseLength: 100000 # Maximum response length (characters)
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# enabled: true # Enable this plugin
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# # Custom plugins can be added here (see documentation)
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# # custom:
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# # - name: tenant-auth
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# # module: "${{dexto.agent_dir}}/plugins/tenant-auth.ts"
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# # enabled: true
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# # blocking: true
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# # priority: 100
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# # config:
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# # enforceQuota: true
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# Prompts - inline prompts shown as clickable buttons in WebUI (showInStarters: true)
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prompts:
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- type: inline
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id: quick-start
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title: "📚 Quick Start Guide"
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description: "Learn the basics and see what you can do"
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prompt: "I'd like to get started quickly. Can you show me a few examples of what you can do and help me understand how to work with you?"
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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-demo
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title: "⚡ Tool Demonstration"
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description: "See the tools in action with practical examples"
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prompt: "I'd like to see your tools in action. Can you pick one of your most interesting tools and demonstrate it with a practical example? Show me what it can do and how it works."
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category: tools
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priority: 5
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showInStarters: true
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- type: inline
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id: snake-game
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title: "🐍 Create Snake Game"
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description: "Build a fun interactive game with HTML, CSS, and JavaScript"
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prompt: "Create a snake game in a new directory with HTML, CSS, and JavaScript, then open it in the browser for me to play."
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category: coding
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priority: 4
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showInStarters: true
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- type: inline
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id: connect-tools
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title: "🔧 Connect New Tools"
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description: "Browse and add MCP servers to extend capabilities"
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prompt: "I want to connect new tools to expand my capabilities. Can you help me understand what MCP servers are available and how to add them?"
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category: tools
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priority: 3
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showInStarters: true
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# Telemetry configuration (optional) - OpenTelemetry for distributed tracing
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# telemetry:
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# serviceName: dexto-default-agent
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# enabled: true
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# tracerName: dexto-tracer
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# export:
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# type: otlp # 'otlp' for production, 'console' for development
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# protocol: http # 'http' or 'grpc'
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# endpoint: http://127.0.0.1:4318/v1/traces # OTLP collector endpoint
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# headers: # Optional headers for authentication
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# Authorization: Bearer <token>
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## To use Google Gemini, replace the LLM section with Google Gemini configuration below
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## Similar for anthropic/groq/etc.
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# llm:
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# provider: google
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# model: gemini-2.5-pro
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# apiKey: $GOOGLE_GENERATIVE_AI_API_KEY
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