Major WHOOSH system refactoring and feature enhancements
- Migrated from HIVE branding to WHOOSH across all components - Enhanced backend API with new services: AI models, BZZZ integration, templates, members - Added comprehensive testing suite with security, performance, and integration tests - Improved frontend with new components for project setup, AI models, and team management - Updated MCP server implementation with WHOOSH-specific tools and resources - Enhanced deployment configurations with production-ready Docker setups - Added comprehensive documentation and setup guides - Implemented age encryption service and UCXL integration 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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anthonyrawlins
@@ -1,8 +1,8 @@
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"""
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Hive API - CLI Agent Management Endpoints
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WHOOSH API - CLI Agent Management Endpoints
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This module provides comprehensive API endpoints for managing CLI-based AI agents
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in the Hive distributed orchestration platform. CLI agents enable integration with
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in the WHOOSH distributed orchestration platform. CLI agents enable integration with
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cloud-based AI services and external tools through command-line interfaces.
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Key Features:
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@@ -34,7 +34,7 @@ from ..core.error_handlers import (
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agent_not_found_error,
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agent_already_exists_error,
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validation_error,
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HiveAPIException
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WHOOSHAPIException
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)
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from ..core.auth_deps import get_current_user_context
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@@ -47,9 +47,9 @@ router = APIRouter(prefix="/api/cli-agents", tags=["cli-agents"])
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status_code=status.HTTP_200_OK,
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summary="List all CLI agents",
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description="""
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Retrieve a comprehensive list of all CLI-based agents in the Hive cluster.
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Retrieve a comprehensive list of all CLI-based agents in the WHOOSH cluster.
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CLI agents are cloud-based or remote AI agents that integrate with Hive through
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CLI agents are cloud-based or remote AI agents that integrate with WHOOSH through
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command-line interfaces, providing access to advanced AI models and services.
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**CLI Agent Information Includes:**
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@@ -188,10 +188,10 @@ async def get_cli_agents(
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status_code=status.HTTP_201_CREATED,
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summary="Register a new CLI agent",
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description="""
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Register a new CLI-based AI agent with the Hive cluster.
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Register a new CLI-based AI agent with the WHOOSH cluster.
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This endpoint enables integration of cloud-based AI services and remote tools
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through command-line interfaces, expanding Hive's AI capabilities beyond local models.
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through command-line interfaces, expanding WHOOSH's AI capabilities beyond local models.
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**CLI Agent Registration Process:**
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1. **Connectivity Validation**: Test SSH/CLI connection to target host
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@@ -304,7 +304,7 @@ async def register_cli_agent(
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"warning": "Connectivity test failed - registering anyway for development"
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}
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# Map specialization to Hive AgentType
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# Map specialization to WHOOSH AgentType
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specialization_mapping = {
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"general_ai": AgentType.GENERAL_AI,
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"reasoning": AgentType.REASONING,
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@@ -314,14 +314,14 @@ async def register_cli_agent(
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"cli_gemini": AgentType.CLI_GEMINI
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}
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hive_specialty = specialization_mapping.get(agent_data.specialization, AgentType.GENERAL_AI)
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whoosh_specialty = specialization_mapping.get(agent_data.specialization, AgentType.GENERAL_AI)
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# Create Hive Agent object
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hive_agent = Agent(
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# Create WHOOSH Agent object
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whoosh_agent = Agent(
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id=agent_data.id,
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endpoint=f"cli://{agent_data.host}",
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model=agent_data.model,
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specialty=hive_specialty,
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specialty=whoosh_specialty,
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max_concurrent=agent_data.max_concurrent,
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current_tasks=0,
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agent_type="cli",
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@@ -330,16 +330,16 @@ async def register_cli_agent(
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# Store in database
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db_agent = ORMAgent(
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id=hive_agent.id,
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id=whoosh_agent.id,
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name=f"{agent_data.host}-{agent_data.agent_type}",
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endpoint=hive_agent.endpoint,
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model=hive_agent.model,
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specialty=hive_agent.specialty.value,
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specialization=hive_agent.specialty.value,
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max_concurrent=hive_agent.max_concurrent,
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current_tasks=hive_agent.current_tasks,
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agent_type=hive_agent.agent_type,
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cli_config=hive_agent.cli_config
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endpoint=whoosh_agent.endpoint,
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model=whoosh_agent.model,
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specialty=whoosh_agent.specialty.value,
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specialization=whoosh_agent.specialty.value,
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max_concurrent=whoosh_agent.max_concurrent,
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current_tasks=whoosh_agent.current_tasks,
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agent_type=whoosh_agent.agent_type,
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cli_config=whoosh_agent.cli_config
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)
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db.add(db_agent)
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@@ -351,7 +351,7 @@ async def register_cli_agent(
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return CliAgentRegistrationResponse(
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agent_id=agent_data.id,
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endpoint=hive_agent.endpoint,
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endpoint=whoosh_agent.endpoint,
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health_check=health,
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message=f"CLI agent '{agent_data.id}' registered successfully on host '{agent_data.host}'"
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)
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@@ -371,10 +371,10 @@ async def register_cli_agent(
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status_code=status.HTTP_201_CREATED,
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summary="Register predefined CLI agents",
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description="""
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Register a set of predefined CLI agents for common Hive cluster configurations.
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Register a set of predefined CLI agents for common WHOOSH cluster configurations.
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This endpoint provides a convenient way to quickly set up standard CLI agents
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for typical Hive deployments, including common host configurations.
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for typical WHOOSH deployments, including common host configurations.
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**Predefined Agent Sets:**
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- **Standard Gemini**: walnut-gemini and ironwood-gemini agents
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@@ -622,7 +622,7 @@ async def health_check_cli_agent(
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status_code=status.HTTP_204_NO_CONTENT,
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summary="Unregister a CLI agent",
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description="""
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Unregister and remove a CLI agent from the Hive cluster.
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Unregister and remove a CLI agent from the WHOOSH cluster.
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This endpoint safely removes a CLI agent by stopping active tasks,
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cleaning up resources, and removing configuration data.
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@@ -661,7 +661,7 @@ async def unregister_cli_agent(
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current_user: Dict[str, Any] = Depends(get_current_user_context)
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):
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"""
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Unregister a CLI agent from the Hive cluster.
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Unregister a CLI agent from the WHOOSH cluster.
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Args:
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agent_id: Unique identifier of the CLI agent to unregister
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@@ -684,7 +684,7 @@ async def unregister_cli_agent(
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try:
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# Check for active tasks unless forced
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if not force and db_agent.current_tasks > 0:
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raise HiveAPIException(
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raise WHOOSHAPIException(
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status_code=status.HTTP_409_CONFLICT,
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detail=f"CLI agent '{agent_id}' has {db_agent.current_tasks} active tasks. Use force=true to override.",
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error_code="AGENT_HAS_ACTIVE_TASKS",
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