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ClaudeFlow ported, needs cleanup

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2025-08-10 12:00:13 -04:00
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Feature: Agent Management
As a CleverClaude user
I want to create, manage, and coordinate AI agents
So that I can build sophisticated AI workflows
Background:
Given CleverClaude is running
And I have agent management capabilities
@smoke
Scenario: Create a single agent
When I create a researcher agent named "research_agent_1"
Then the agent should be created successfully
And the agent should be in "active" status
And the agent should have researcher capabilities
Scenario: Create multiple agents with different types
When I create the following agents:
| type | name | capabilities |
| researcher| research_agent | research, analysis |
| coder | coding_agent | coding, debugging, testing |
| analyst | analyst_agent | data_analysis, visualization |
Then all agents should be created successfully
And each agent should have the correct type and capabilities
Scenario: Agent lifecycle management
Given I have created an agent named "test_agent"
When I pause the agent
Then the agent status should be "paused"
When I resume the agent
Then the agent status should be "active"
When I destroy the agent
Then the agent should no longer exist
Scenario: Agent task execution
Given I have a researcher agent
When I assign a research task to the agent:
"""
Research the latest developments in quantum computing
and provide a summary of the key breakthroughs
"""
Then the agent should accept the task
And the task should be executed within the timeout period
And the result should contain relevant research findings
Scenario: Agent health monitoring
Given I have multiple active agents
When I check agent health status
Then each agent should report health metrics
And unhealthy agents should be identified
And health metrics should include CPU, memory, and task count
Scenario: Agent capability discovery
Given I have agents with different capabilities
When I query for agents with "data_analysis" capability
Then only agents with that capability should be returned
And the results should include agent metadata
@wip
Scenario: Agent coordination
Given I have multiple agents of different types
When I create a coordination task requiring multiple agent types
Then the agents should coordinate automatically
And the task should be distributed appropriately
And the results should be aggregated correctly
Scenario Outline: Create agents with various configurations
When I create a <type> agent with <timeout> second timeout
Then the agent should be created with the specified timeout
And the agent should respect timeout limits during task execution
Examples:
| type | timeout |
| researcher | 30 |
| coder | 60 |
| analyst | 45 |
@hypothesis
Scenario: Stress test agent creation
When I create many agents rapidly
Then all agents should be created successfully
And system performance should remain stable
And no resource leaks should occur