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j3ssie
438d8ec138
- Add AgentExecutor implementing LLM-based agentic loop with tool calling, max iterations, and stop conditions - Introduce agent preset tools (bash, file_exists, http_get, run_module, etc.) with extensible registry pattern - Add sub-agent spawning capability via spawn_agent tool call with recursive depth limits and validation - Implement ToolExecutor for custom tool execution with template rendering and error handling - Add agent session persistence and memory management with sliding window configuration - Create comprehensive E2E test suite covering 15+ agent workflow scenarios (minimal, custom tools, planning, multi-goal, structured output, tracing hooks, file tools, orchestration, Python tools, sub-agents, nested sub-agents, and validation) - Add agent-and-llm test data directory with 17 YAML workflow fixtures - Update integration tests to include agent workflow directories - Add AgentTool and AgentConfig types with validation for duplicate names and unknown presets - Implement LLM streaming test utilities - Update documentation (CLAUDE.md, HACKING.md, README.md) with agent features and CLI examples
37 lines
1.0 KiB
YAML
37 lines
1.0 KiB
YAML
kind: module
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name: test-agent-sub-agents
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description: Test multi-agent orchestration with sub-agent spawning
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tags: test,agent,sub-agents
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params:
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- name: target
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required: true
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default: example.com
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steps:
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- name: orchestrator
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type: agent
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query: "Analyze {{Target}} by coordinating specialists"
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system_prompt: "You are an orchestrator. Delegate tasks to sub-agents."
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max_iterations: 10
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max_agent_depth: 3
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agent_tools:
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- preset: bash
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sub_agents:
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- name: recon_agent
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description: "Specialized agent for reconnaissance"
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system_prompt: "You are a recon specialist"
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max_iterations: 5
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agent_tools:
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- preset: bash
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- preset: http_get
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- name: vuln_scanner
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description: "Specialized agent for vulnerability scanning"
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system_prompt: "You are a vulnerability analyst"
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max_iterations: 5
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agent_tools:
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- preset: bash
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- preset: read_file
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exports:
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result: "{{agent_content}}"
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