Ole André Vadla Ravnås
5d0748515b
LLM agent for user-stated RE goals: propose-and-approve over the existing RPC, evidence-grounded findings, collab via the op-outbox pattern. Anthropic / OpenAI / local-OAI providers. r2ai used for explain_function when the plugin is loaded; falls back to the mission's own provider otherwise.
59 lines
1.3 KiB
Swift
59 lines
1.3 KiB
Swift
import Foundation
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public enum MissionStatus: String, Codable, Sendable, CaseIterable {
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case drafting
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case running
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case awaitingApproval = "awaiting_approval"
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case paused
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case completed
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case failed
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case cancelled
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public var isTerminal: Bool {
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switch self {
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case .completed, .failed, .cancelled: return true
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case .drafting, .running, .awaitingApproval, .paused: return false
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}
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}
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public var isLive: Bool { !isTerminal }
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}
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public enum MissionActionStatus: String, Codable, Sendable, CaseIterable {
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case pending
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case approved
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case rejected
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case running
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case succeeded
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case failed
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}
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public enum MissionFindingConfidence: String, Codable, Sendable, CaseIterable {
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case low
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case medium
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case high
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}
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public enum MissionFindingStatus: String, Codable, Sendable, CaseIterable {
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case proposed
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case accepted
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case refuted
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case superseded
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}
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public enum MissionTurnRole: String, Codable, Sendable, CaseIterable {
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case user
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case assistant
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case tool
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}
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public enum MissionEvidenceKind: String, Codable, Sendable, CaseIterable {
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case event
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case hookHit = "hook_hit"
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case disasmSpan = "disasm_span"
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case memoryRead = "memory_read"
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case symbolMatch = "symbol_match"
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case insight
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case action
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}
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