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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
34 lines
938 B
YAML
34 lines
938 B
YAML
kind: module
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name: test-agent-custom-tools
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description: Test agent step with custom tool handlers and template rendering
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tags: test,agent
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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: agent-custom-handler
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type: agent
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query: "Use the classify tool to classify the target '{{Target}}' and report the result."
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max_iterations: 3
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agent_tools:
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- name: classify
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description: "Classify a string as domain, ip, or unknown"
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parameters:
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type: object
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properties:
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input:
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type: string
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description: "The string to classify"
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required:
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- input
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handler: 'contains(args.input, ".") ? "domain" : "unknown"'
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exports:
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classification: "{{agent_content}}"
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- name: verify-custom-tool
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type: bash
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command: echo "Classification result for {{Target}} is - {{classification}}"
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