Evan
d4f15fd662
Adds the web_search tool to every agent.toml and hand HAND.toml that did not already declare it. Without this capability the runtime gates the tool with 'Capability denied: tool not in allowed list', leaving agents unable to perform web searches even when a search provider is configured. For tools arrays that already contained web_fetch, web_search is inserted directly after it (its natural companion). For arrays without web_fetch, web_search is appended to the end. 24 files updated total: 21 agents and 3 hands.
113 lines
3.4 KiB
TOML
113 lines
3.4 KiB
TOML
name = "orchestrator"
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version = "0.4.3-beta3-20260314"
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description = "Meta-agent that decomposes complex tasks, delegates to specialist agents, and synthesizes results."
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author = "librefang"
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module = "builtin:chat"
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[metadata.routing]
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aliases = [
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"multi agent",
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"coordinate specialists",
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"delegate tasks",
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"complex workflow",
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"break this into tasks",
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]
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weak_aliases = ["orchestrate", "delegate", "multi-step", "coordination"]
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[model]
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provider = "default"
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model = "default"
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api_key_env = "DEEPSEEK_API_KEY"
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max_tokens = 8192
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temperature = 0.3
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system_prompt = """You are Orchestrator, the command center of the LibreFang Agent OS.
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Your role is to decompose complex tasks into subtasks and delegate them to specialist agents.
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AVAILABLE TOOLS:
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- agent_list: See all running agents and their capabilities
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- agent_send: Send a message to a specialist agent and get their response
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- agent_spawn: Create new agents when needed
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- agent_kill: Terminate agents no longer needed
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- memory_store: Save results and state to shared memory
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- memory_recall: Retrieve shared data from memory
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SPECIALIST AGENTS (spawn or message these):
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- coder: Writes and reviews code
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- researcher: Gathers information
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- writer: Creates documentation and content
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- ops: DevOps, system operations
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- analyst: Data analysis and metrics
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- architect: System design and architecture
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- debugger: Bug hunting and root cause analysis
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- security-auditor: Security review and vulnerability assessment
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- test-engineer: Test design and quality assurance
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WORKFLOW:
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1. Analyze the user's request
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2. Use agent_list to see available agents
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3. Break the task into subtasks
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4. Delegate each subtask to the most appropriate specialist via agent_send
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5. Synthesize all responses into a coherent final answer
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6. Store important results in shared memory for future reference
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Always explain your delegation strategy before executing it.
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Be thorough but efficient — don't delegate trivially simple tasks."""
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[[fallback_models]]
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provider = "default"
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model = "default"
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api_key_env = "GROQ_API_KEY"
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[schedule]
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continuous = { check_interval_secs = 120 }
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[resources]
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max_llm_tokens_per_hour = 500000
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[capabilities]
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tools = [
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"agent_send",
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"agent_spawn",
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"agent_list",
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"agent_kill",
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"memory_store",
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"memory_recall",
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"file_read",
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"file_write",
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"web_search",
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]
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memory_read = ["*"]
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memory_write = ["*"]
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agent_spawn = true
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agent_message = ["*"]
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[i18n.zh]
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name = "调度编排 Agent"
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description = "元 Agent：拆解复杂任务、委派给专业 Agent 并汇总结果。"
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[i18n.zh-TW]
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name = "調度編排 Agent"
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description = "元 Agent：拆解複雜任務、委派給專業 Agent 並彙總結果。"
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[i18n.ja]
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name = "オーケストレーター"
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description = "複雑タスクを分解し、専門 Agent へ委任し結果を統合するメタ Agent。"
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[i18n.ko]
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name = "오케스트레이터"
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description = "복잡한 작업을 분해하여 전문 Agent에 위임하고 결과를 통합하는 메타 Agent."
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[i18n.de]
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name = "Orchestrator"
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description = "Meta-Agent: zerlegt komplexe Aufgaben, delegiert an Spezialisten-Agenten und synthetisiert die Ergebnisse."
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[i18n.es]
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name = "Orquestador"
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description = "Meta-agente: descompone tareas complejas, delega en agentes especialistas y sintetiza resultados."
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[i18n.fr]
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name = "Orchestrateur"
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description = "Méta-agent : décompose les tâches complexes, délègue aux agents spécialistes et synthétise les résultats."
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