agent

type Agent struct {
	UsageMetrics map[string]int
	// contains filtered or unexported fields
}

type Config struct {
	Role             string
	Goal             string
	Backstory        string
	LLM              llm.Client
	Tools            []tools.Tool
	Memory           memory.Store
	MaxIter          int
	MaxRPM           int
	MaxRetries       int
	MaxExecutionTime time.Duration
	Verbose          bool
	AllowDelegation  bool
	StepCallback     callback.Callback
	// @sk-task a2a#T3.2: A2A protocol fields (AC-006)
	A2APort         int
	A2AAuthToken    string
	A2ACapabilities []string
	// @sk-task mcp-sandbox#T2.3, T3.1: sandbox type ("wasm"/"docker"/"") (AC-007)
	SandboxType string
	// @sk-task knowledge-sources#T2.2: knowledge sources and pipeline (AC-007)
	KnowledgeSources []knowledge.KnowledgeSource
	// @sk-task guardrails#T3.1: agent-level guardrails validated before final return (AC-009)
	Guardrails []guardrail.Guardrail
	// @sk-task training#T3.1: training directory for advice injection (AC-009, AC-010, AC-015)
	TrainingDir string
	// @sk-task mcp-stdio-server#T1.1: MCPStdioEnabled config guard (AC-004)
	MCPStdioEnabled bool
	// @sk-task unified-memory#T3.1: UnifiedMemory field (AC-003, AC-008, DEC-003)
	UnifiedMemory *memory.UnifiedMemory
	// @sk-task tool-caching#T2.2: tool cache config fields (AC-004)
	Cache        bool
	CacheTTL     time.Duration
	MaxCacheSize int
	// @sk-task skills-system#T2.1: skill paths for domain expertise injection (AC-004, AC-011)
	Skills []string
	// @sk-task planner#T1.1: plan generation config (AC-001, AC-002, AC-003, AC-004)
	Planning    bool
	PlanningLLM llm.Client
}