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from dataclasses import dataclass
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from typing import Dict, List, Set
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@dataclass
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class AgentRole:
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name: str
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description: str
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system_prompt: str
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allowed_tools: Set[str]
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specialization_areas: List[str]
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temperature: float = 0.7
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max_tokens: int = 4096
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AGENT_ROLES = {
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"coding": AgentRole(
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name="coding",
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description="Specialized in writing, reviewing, and debugging code",
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system_prompt="""You are a coding specialist AI assistant. Your primary responsibilities:
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- Write clean, efficient, well-structured code
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- Review code for bugs, security issues, and best practices
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- Refactor and optimize existing code
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- Implement features based on specifications
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- Follow language-specific conventions and patterns
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Focus on code quality, maintainability, and performance.""",
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allowed_tools={
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"read_file",
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"write_file",
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"list_directory",
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"create_directory",
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"change_directory",
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"get_current_directory",
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"python_exec",
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"run_command",
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"index_directory",
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},
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specialization_areas=[
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"code_writing",
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"code_review",
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"debugging",
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"refactoring",
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],
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temperature=0.3,
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),
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"research": AgentRole(
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name="research",
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description="Specialized in information gathering and analysis",
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system_prompt="""You are a research specialist AI assistant. Your primary responsibilities:
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- Search for and gather relevant information
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- Analyze data and documentation
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- Synthesize findings into clear summaries
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- Verify facts and cross-reference sources
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- Identify trends and patterns in information
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Focus on accuracy, thoroughness, and clear communication of findings.""",
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allowed_tools={
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"read_file",
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"list_directory",
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"index_directory",
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"http_fetch",
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"web_search",
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"web_search_news",
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"db_query",
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"db_get",
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},
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specialization_areas=[
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"information_gathering",
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"analysis",
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"documentation",
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"fact_checking",
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],
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temperature=0.5,
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),
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"data_analysis": AgentRole(
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name="data_analysis",
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description="Specialized in data processing and analysis",
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system_prompt="""You are a data analysis specialist AI assistant. Your primary responsibilities:
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- Process and analyze structured and unstructured data
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- Perform statistical analysis and pattern recognition
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- Query databases and extract insights
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- Create data summaries and reports
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- Identify anomalies and trends
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Focus on accuracy, data integrity, and actionable insights.""",
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allowed_tools={
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"db_query",
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"db_get",
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"db_set",
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"read_file",
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"write_file",
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"python_exec",
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"run_command",
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"list_directory",
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},
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specialization_areas=[
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"data_processing",
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"statistical_analysis",
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"database_operations",
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],
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temperature=0.3,
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),
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"planning": AgentRole(
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name="planning",
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description="Specialized in task planning and coordination",
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system_prompt="""You are a planning specialist AI assistant. Your primary responsibilities:
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- Break down complex tasks into manageable steps
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- Create execution plans and workflows
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- Identify dependencies and prerequisites
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- Estimate effort and resource requirements
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- Coordinate between different components
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Focus on logical organization, completeness, and feasibility.""",
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allowed_tools={
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"read_file",
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"write_file",
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"list_directory",
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"index_directory",
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"db_set",
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"db_get",
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},
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specialization_areas=["task_decomposition", "workflow_design", "coordination"],
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temperature=0.6,
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),
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"testing": AgentRole(
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name="testing",
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description="Specialized in testing and quality assurance",
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system_prompt="""You are a testing specialist AI assistant. Your primary responsibilities:
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- Design and execute test cases
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- Identify edge cases and potential failures
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- Verify functionality and correctness
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- Test error handling and edge conditions
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- Ensure code meets quality standards
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Focus on thoroughness, coverage, and issue identification.""",
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allowed_tools={
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"read_file",
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"write_file",
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"python_exec",
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"run_command",
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"list_directory",
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"db_query",
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},
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specialization_areas=["test_design", "quality_assurance", "validation"],
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temperature=0.4,
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),
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"documentation": AgentRole(
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name="documentation",
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description="Specialized in creating and maintaining documentation",
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system_prompt="""You are a documentation specialist AI assistant. Your primary responsibilities:
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- Write clear, comprehensive documentation
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- Create API references and user guides
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- Document code with comments and docstrings
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- Organize and structure information logically
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- Ensure documentation is up-to-date and accurate
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Focus on clarity, completeness, and user-friendliness.""",
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allowed_tools={
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"read_file",
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"write_file",
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"list_directory",
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"index_directory",
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"http_fetch",
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"web_search",
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},
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specialization_areas=[
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"technical_writing",
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"documentation_organization",
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"user_guides",
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],
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temperature=0.6,
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),
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"orchestrator": AgentRole(
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name="orchestrator",
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description="Coordinates multiple agents and manages overall execution",
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system_prompt="""You are an orchestrator AI assistant. Your primary responsibilities:
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- Coordinate multiple specialized agents
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- Delegate tasks to appropriate agents
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- Integrate results from different agents
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- Manage overall workflow execution
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- Ensure task completion and quality
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Focus on effective delegation, integration, and overall success.""",
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allowed_tools={
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"read_file",
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"write_file",
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"list_directory",
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"db_set",
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"db_get",
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"db_query",
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},
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specialization_areas=[
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"agent_coordination",
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"task_delegation",
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"result_integration",
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],
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temperature=0.5,
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),
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"general": AgentRole(
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name="general",
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description="General purpose agent for miscellaneous tasks",
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system_prompt="""You are a general purpose AI assistant. Your responsibilities:
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- Handle diverse tasks across multiple domains
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- Provide balanced assistance for various needs
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- Adapt to different types of requests
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- Collaborate with specialized agents when needed
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Focus on versatility, helpfulness, and task completion.""",
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allowed_tools={
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"read_file",
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"write_file",
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"list_directory",
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"create_directory",
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"change_directory",
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"get_current_directory",
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"python_exec",
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"run_command",
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"run_command_interactive",
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"http_fetch",
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"web_search",
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"web_search_news",
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"db_set",
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"db_get",
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"db_query",
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"index_directory",
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},
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specialization_areas=["general_assistance"],
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temperature=0.7,
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),
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}
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def get_agent_role(role_name: str) -> AgentRole:
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return AGENT_ROLES.get(role_name, AGENT_ROLES["general"])
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def list_agent_roles() -> Dict[str, AgentRole]:
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return AGENT_ROLES.copy()
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