e743a3e982
Fase 1: Sistema de personalidades enriquecido - Ampliar PersonalityCfg con role, backstory, expertise, limitations - Añadir CommunicationCfg (formality, humor, personality, response_style, quirks, catchphrases) - Crear tipos puros en pkg/personality/traits.go - Implementar BuildPersonalityPrompt() para generar bloque de system prompt - Integrar personalidad en agents/runtime.go (FromConfig + concatenacion al system prompt) Fase 2: Agente plantilla - Añadir campo Template bool a AgentMeta - Filtrar agentes template en launcher (skip si template: true) - Crear agents/_template/ con config.yaml completo y documentado - Incluir TODAS las secciones (skills, shared_knowledge, schedules, security) - agent.go minimo + prompts/system.md plantilla - Actualizar dev-scripts/agent/new-agent.sh para copiar desde _template/ Fase 3: Ejemplos de personalidades - Crear agents/_template/PERSONALITIES.md con 4 perfiles: * DevOps pragmatico * Analista meticuloso * Asistente amigable * Guardian de seguridad 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
414 lines
12 KiB
YAML
414 lines
12 KiB
YAML
# ============================================
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# AGENTE PLANTILLA
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# ============================================
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# Este archivo sirve como referencia canonica para la configuracion de todos los agentes.
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# NO se lanza (template: true). Copiar y adaptar para crear nuevos agentes.
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agent:
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id: "_template"
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name: "Template Agent"
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version: "0.0.0"
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enabled: true
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template: true # el launcher ignora este agente
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description: "Agente plantilla. No se lanza. Sirve como referencia para crear nuevos agentes."
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tags: [template]
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# ============================================
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# PERSONALIDAD Y COMPORTAMIENTO
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# ============================================
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personality:
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# --- Identidad narrativa ---
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role: "asistente general"
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backstory: "Un asistente amigable creado para ayudar con tareas cotidianas."
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expertise: [general]
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limitations: []
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# --- Estilo basico ---
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tone: friendly # direct | friendly | formal | casual | technical
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verbosity: concise # minimal | concise | detailed | verbose
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language: es
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languages_supported: [es, en]
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emoji_style: minimal # none | minimal | moderate | heavy
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prefix: ""
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error_style: helpful # terse | helpful | detailed
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# --- Comunicacion avanzada ---
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communication:
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formality: semiformal # formal | semiformal | casual | coloquial
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humor: none # none | subtle | moderate | frequent
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personality: pragmatic # analytical | creative | pragmatic | empathetic | assertive
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response_style: structured # structured | conversational | bullet_points | narrative
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quirks: [] # rasgos unicos del personaje
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avoid_topics: [] # temas a evitar
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catchphrases: [] # frases tipicas
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# --- Directivas libres ---
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custom_directives: [] # instrucciones extra para el system prompt
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# --- Templates de respuesta ---
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templates:
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greeting: "Hola, soy {name}. En que puedo ayudarte?"
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unknown_command: "No entiendo ese comando. Usa !help."
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permission_denied: "No tienes permiso para eso."
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error: "Algo salio mal: {{.Error}}"
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success: "{{.Summary}}"
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busy: "Estoy procesando otra solicitud, un momento..."
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# --- Comportamiento ---
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behavior:
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proactive: false
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ask_confirmation: false
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show_reasoning: false
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thread_replies: true
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typing_indicator: true
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acknowledge_receipt: false
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# ============================================
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# LLM — CONEXION Y RAZONAMIENTO
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# ============================================
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llm:
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primary:
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provider: openai # openai | anthropic | claude-code
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model: "gpt-4o"
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api_key_env: OPENAI_API_KEY
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base_url: "" # opcional: custom endpoint
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max_tokens: 4096
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temperature: 0.7
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# Claude Code: subproceso claude -p (solo si provider: claude-code)
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claude_code:
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binary: "claude"
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timeout: 3m
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disable_tools: false
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allowed_tools: [] # vacio = permitir todas
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disallowed_tools: []
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working_dir: "" # default: tmpdir aislado
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permission_mode: "default" # default | acceptEdits | bypassPermissions | plan
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model: "sonnet" # sonnet | opus | haiku | full model name
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fallback_model: ""
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session_id: ""
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add_dirs: []
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# Fallback LLM (opcional)
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fallback:
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provider: ""
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model: ""
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api_key_env: ""
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base_url: ""
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max_tokens: 0
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temperature: 0
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reasoning:
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system_prompt_file: "prompts/system.md" # relativo a agents/<id>/
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context_window: 16384
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memory_messages: 30 # mensajes previos a incluir en el contexto
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tool_use:
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enabled: false # habilitar function calling
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max_iterations: 5 # ciclos tool-call → execute → feedback
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parallel_calls: false # permitir llamadas paralelas a tools
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rate_limit:
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requests_per_minute: 60
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tokens_per_minute: 200000
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concurrent_requests: 5
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# ============================================
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# TOOLS — HERRAMIENTAS DISPONIBLES
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# ============================================
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tools:
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ssh:
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enabled: false
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allowed_targets: [] # lista de targets definidos en ssh.targets
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allowed_commands: [] # allowlist: si no esta vacio, solo estos comandos
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forbidden_commands: [] # blocklist
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timeout: 30s
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max_concurrent: 3
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require_confirmation: [] # comandos que necesitan confirmacion
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http:
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enabled: false
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allowed_domains: [] # si no esta vacio, solo estos dominios
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timeout: 10s
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max_retries: 2
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scripts:
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enabled: false
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scripts_dir: "./scripts"
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allowed: [] # si no esta vacio, solo estos scripts
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timeout: 60s
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sandbox: false
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file_ops:
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enabled: false
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allowed_paths: [] # si no esta vacio, solo estos paths
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read_only: true
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matrix_send:
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allowed_rooms: [] # si no esta vacio, solo enviar a estos rooms
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mcp:
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enabled: false
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servers: [] # lista de servidores MCP externos
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# Ejemplo:
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# - name: "filesystem"
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# transport: stdio
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# command: "npx"
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# args: ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/data"]
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# env: {}
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# tools: [] # filtro: solo estas tools (vacio = todas)
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# prefix: "fs_" # prefijo para evitar colisiones
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# timeout: 30s
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expose:
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port: 0 # exponer las tools propias via MCP server
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tools: [] # tools a exponer (vacio = todas)
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memory:
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enabled: false # tool para acceder a memoria del agente
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knowledge:
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enabled: false
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dir: "./knowledge" # knowledge privado del agente
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shared_knowledge:
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enabled: false
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dir: "knowledges" # knowledge compartido entre agentes
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db_path: "knowledges/data/knowledge.db"
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skills:
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allowed_interpreters: ["bash", "sh"] # interpretes permitidos para skills
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# ============================================
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# SKILLS — SISTEMA DE SKILLS
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# ============================================
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skills:
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enabled: false
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path: "skills/" # ruta base de skills (relativa al proyecto)
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categories: [] # vacio = todas las categorias | ["devops", "system"] = filtradas
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timeout: 60s # timeout para ejecucion de scripts
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# ============================================
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# MEMORIA — VENTANA DE CONVERSACION
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# ============================================
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memory:
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enabled: false
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window_size: 20 # mensajes por room en ventana deslizante
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db_path: "" # default: agents/<id>/data/memory.db
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# ============================================
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# MATRIX — CONEXION Y ROOMS
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# ============================================
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matrix:
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homeserver: "https://matrix.example.com"
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user_id: "@template:matrix.example.com"
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access_token_env: MATRIX_TOKEN_TEMPLATE
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device_id: "DEVICEID"
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encryption:
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enabled: false
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store_path: "./agents/_template/data/crypto/"
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pickle_key_env: PICKLE_KEY_TEMPLATE
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trust_mode: tofu # tofu | cross-signing | manual
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recovery_key_env: "" # SSSS recovery key para cross-signing
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rooms:
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listen: [] # rooms donde escuchar sin responder
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respond: [] # rooms donde responder automaticamente
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admin: [] # rooms de admin (para comandos especiales)
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filters:
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command_prefix: "!"
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mention_respond: true # responder a menciones
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dm_respond: true # responder a DMs
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ignore_bots: true
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ignore_users: []
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unauthorized_response: silent # silent | explicit
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min_power_level: 0
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threads:
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enabled: true # responder en threads si el mensaje viene de un thread
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auto_thread: false # crear thread automatico por cada conversacion nueva
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# ============================================
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# COMUNICACION INTER-AGENTES
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# ============================================
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agents:
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peers: []
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# Ejemplo:
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# - id: other-agent
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# capabilities: [devops, monitoring]
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# room: "!roomid:server.com"
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delegation:
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enabled: false
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can_delegate_to: []
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can_receive_from: []
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max_delegation_depth: 1
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timeout: 30s
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protocol:
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format: json # json | protobuf | msgpack
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channel: matrix # matrix | grpc | channel
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heartbeat_interval: 60s
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# ============================================
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# SSH — INVENTARIO DE SERVIDORES
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# ============================================
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ssh:
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defaults:
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user: "root"
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port: 22
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key_file_env: SSH_KEY_FILE
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known_hosts: "~/.ssh/known_hosts"
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keepalive_interval: 30s
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timeout: 60s
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targets: {}
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# Ejemplo:
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# prod-web:
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# hosts: ["web01.example.com", "web02.example.com"]
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# user: "deploy"
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# port: 22
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# key_file_env: SSH_KEY_PROD
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# bastion:
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# hosts: ["bastion.example.com"]
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# user: "admin"
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# ============================================
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# PERMISOS Y SEGURIDAD
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# ============================================
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security:
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# Nota: roles/audit/secrets aqui son legacy. Usar security/ centralizado.
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audit:
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enabled: false
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log_file: "./agents/_template/data/audit.log"
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log_to_room: ""
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include: []
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secrets:
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provider: env # env | vault | sops
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# Sanitizacion de prompts (deteccion de injection)
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sanitize:
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enabled: false
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mode: warn # warn | strip | reject
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min_severity: medium # low | medium | high
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disabled_patterns: []
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# Rate limiting de tools por room
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tool_rate_limit:
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enabled: false
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max_calls_per_min: 10
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cleanup_interval_s: 60
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# ============================================
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# SCHEDULING — AUTOMATIZACIONES CRON
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# ============================================
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schedules: []
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# Ejemplo 1: enviar mensaje (send_message)
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# - name: "buenos-dias"
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# cron: "0 9 * * 1-5" # lunes a viernes a las 9am
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# action:
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# kind: send_message
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# message: "Buenos dias equipo!" # inline
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# # template: "prompts/daily.md" # o desde archivo
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# output_room: "!roomid:server.com"
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# on_failure:
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# notify_room: "!admin:server.com"
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# escalate_to: ""
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# Ejemplo 2: ejecutar tool (run_tool)
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# - name: "check-disk"
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# cron: "0 */6 * * *" # cada 6 horas
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# action:
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# kind: run_tool
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# target: ssh_exec
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# command: "df -h"
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# output_room: "!ops:server.com"
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# on_failure:
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# notify_room: "!admin:server.com"
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# Ejemplo 3: prompt LLM (llm_prompt)
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# - name: "resumen-logs"
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# cron: "0 18 * * *" # diario a las 6pm
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# action:
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# kind: llm_prompt
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# prompt: "Dame un resumen de los logs del dia."
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# output_room: "!ops:server.com"
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# on_failure:
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# notify_room: ""
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# ============================================
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# OBSERVABILIDAD
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# ============================================
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observability:
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logging:
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level: info # debug | info | warn | error
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format: json # json | text
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output: stdout # stdout | file
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file: "./agents/_template/data/template.log"
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metrics:
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enabled: false
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port: 9090
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path: /metrics
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export: prometheus # prometheus | datadog | ...
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health:
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enabled: true
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port: 8080
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path: /healthz
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tracing:
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enabled: false
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provider: "" # jaeger | zipkin | datadog
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endpoint: ""
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# ============================================
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# RESILIENCIA
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# ============================================
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resilience:
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circuit_breaker:
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failure_threshold: 5 # abrir tras N fallos consecutivos
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timeout: 30s # tiempo en open antes de half-open
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half_open_max: 2 # intentos en half-open antes de cerrar
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retry:
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max_attempts: 2
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backoff: exponential # fixed | exponential
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initial_delay: 1s
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max_delay: 10s
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shutdown:
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timeout: 10s # tiempo maximo para graceful shutdown
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drain_messages: true # procesar mensajes pendientes
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save_state: false
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state_file: ""
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queue:
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enabled: true
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max_size: 100
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priority_users: [] # usuarios con prioridad
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# ============================================
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# ALMACENAMIENTO Y ESTADO
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# ============================================
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storage:
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base_path: "" # root para datos; default: $AGENTS_DATA_DIR/<id> o agents/<id>/data
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state:
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backend: sqlite # sqlite | redis | file
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path: "./agents/_template/data/template.db"
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cache:
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enabled: true
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backend: memory # memory | redis
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ttl: 5m
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max_entries: 200
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history:
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backend: sqlite
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path: "./agents/_template/data/history.db"
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retention: 168h # 7 dias
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