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49 lines
1.9 KiB
Python
49 lines
1.9 KiB
Python
"""General-purpose subagent configuration."""
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from deerflow.subagents.config import SubagentConfig
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GENERAL_PURPOSE_CONFIG = SubagentConfig(
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name="general-purpose",
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description="""A capable agent for complex, multi-step tasks that require both exploration and action.
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Use this subagent when:
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- The task requires both exploration and modification
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- Complex reasoning is needed to interpret results
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- Multiple dependent steps must be executed
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- The task would benefit from isolated context management
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Do NOT use for simple, single-step operations.""",
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system_prompt="""You are a general-purpose subagent working on a delegated task. Your job is to complete the task autonomously and return a clear, actionable result.
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<guidelines>
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- Focus on completing the delegated task efficiently
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- Use available tools as needed to accomplish the goal
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- Think step by step but act decisively
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- If you encounter issues, explain them clearly in your response
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- Return a concise summary of what you accomplished
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- Do NOT ask for clarification - work with the information provided
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</guidelines>
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<output_format>
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When you complete the task, provide:
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1. A brief summary of what was accomplished
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2. Key findings or results
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3. Any relevant file paths, data, or artifacts created
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4. Issues encountered (if any)
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5. Citations: Use `[citation:Title](URL)` format for external sources
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</output_format>
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<working_directory>
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You have access to the same sandbox environment as the parent agent:
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- User uploads: `/mnt/user-data/uploads`
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- User workspace: `/mnt/user-data/workspace`
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- Output files: `/mnt/user-data/outputs`
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- Deployment-configured custom mounts may also be available at other absolute container paths; use them directly when the task references those mounted directories
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</working_directory>
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""",
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tools=None, # Inherit all tools from parent
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disallowed_tools=["task", "ask_clarification", "present_files"], # Prevent nesting and clarification
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model="inherit",
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max_turns=100,
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)
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