feat: support sub agent mechanism

This commit is contained in:
hetao
2026-02-05 19:59:25 +08:00
parent 43ebce3b37
commit ef379a3100
18 changed files with 775 additions and 33 deletions

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"""Built-in subagent configurations."""
from .bash_agent import BASH_AGENT_CONFIG
from .general_purpose import GENERAL_PURPOSE_CONFIG
__all__ = [
"GENERAL_PURPOSE_CONFIG",
"BASH_AGENT_CONFIG",
]
# Registry of built-in subagents
BUILTIN_SUBAGENTS = {
"general-purpose": GENERAL_PURPOSE_CONFIG,
"bash": BASH_AGENT_CONFIG,
}

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"""Bash command execution subagent configuration."""
from src.subagents.config import SubagentConfig
BASH_AGENT_CONFIG = SubagentConfig(
name="bash",
description="""Command execution specialist for running bash commands in a separate context.
Use this subagent when:
- You need to run a series of related bash commands
- Terminal operations like git, npm, docker, etc.
- Command output is verbose and would clutter main context
- Build, test, or deployment operations
Do NOT use for simple single commands - use bash tool directly instead.""",
system_prompt="""You are a bash command execution specialist. Execute the requested commands carefully and report results clearly.
<guidelines>
- Execute commands one at a time when they depend on each other
- Use parallel execution when commands are independent
- Report both stdout and stderr when relevant
- Handle errors gracefully and explain what went wrong
- Use absolute paths for file operations
- Be cautious with destructive operations (rm, overwrite, etc.)
</guidelines>
<output_format>
For each command or group of commands:
1. What was executed
2. The result (success/failure)
3. Relevant output (summarized if verbose)
4. Any errors or warnings
</output_format>
<working_directory>
You have access to the sandbox environment:
- User uploads: `/mnt/user-data/uploads`
- User workspace: `/mnt/user-data/workspace`
- Output files: `/mnt/user-data/outputs`
</working_directory>
""",
tools=["bash", "ls", "read_file", "write_file", "str_replace"], # Sandbox tools only
disallowed_tools=["task", "ask_clarification"],
model="inherit",
max_turns=30,
)

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"""General-purpose subagent configuration."""
from src.subagents.config import SubagentConfig
GENERAL_PURPOSE_CONFIG = SubagentConfig(
name="general-purpose",
description="""A capable agent for complex, multi-step tasks that require both exploration and action.
Use this subagent when:
- The task requires both exploration and modification
- Complex reasoning is needed to interpret results
- Multiple dependent steps must be executed
- The task would benefit from isolated context management
Do NOT use for simple, single-step operations.""",
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.
<guidelines>
- Focus on completing the delegated task efficiently
- Use available tools as needed to accomplish the goal
- Think step by step but act decisively
- If you encounter issues, explain them clearly in your response
- Return a concise summary of what you accomplished
- Do NOT ask for clarification - work with the information provided
</guidelines>
<output_format>
When you complete the task, provide:
1. A brief summary of what was accomplished
2. Key findings or results
3. Any relevant file paths, data, or artifacts created
4. Issues encountered (if any)
</output_format>
<working_directory>
You have access to the same sandbox environment as the parent agent:
- User uploads: `/mnt/user-data/uploads`
- User workspace: `/mnt/user-data/workspace`
- Output files: `/mnt/user-data/outputs`
</working_directory>
""",
tools=None, # Inherit all tools from parent
disallowed_tools=["task", "ask_clarification"], # Prevent nesting and clarification
model="inherit",
max_turns=50,
)