d803bfe2b1
git-subtree-dir: vendor/ruvector git-subtree-split: b64c21726f2bb37286d9ee36a7869fef60cc6900
69 lines
2.0 KiB
TypeScript
69 lines
2.0 KiB
TypeScript
/**
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* Multi-Agent Data Generation Example
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*
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* Demonstrates coordinating multiple agents generating different types
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* of synthetic data using jujutsu branches, merging contributions,
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* and resolving conflicts.
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*/
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interface Agent {
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id: string;
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name: string;
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dataType: string;
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branch: string;
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schema: any;
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}
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interface AgentContribution {
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agentId: string;
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dataType: string;
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recordCount: number;
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commitHash: string;
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quality: number;
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conflicts: string[];
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}
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declare class MultiAgentDataCoordinator {
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private synth;
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private repoPath;
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private agents;
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constructor(repoPath: string);
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/**
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* Initialize multi-agent data generation environment
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*/
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initialize(): Promise<void>;
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/**
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* Register a new agent for data generation
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*/
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registerAgent(id: string, name: string, dataType: string, schema: any): Promise<Agent>;
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/**
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* Agent generates data on its dedicated branch
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*/
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agentGenerate(agentId: string, count: number, description: string): Promise<AgentContribution>;
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/**
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* Coordinate parallel data generation from multiple agents
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*/
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coordinateParallelGeneration(tasks: Array<{
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agentId: string;
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count: number;
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description: string;
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}>): Promise<AgentContribution[]>;
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/**
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* Merge agent contributions into main branch
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*/
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mergeContributions(agentIds: string[], strategy?: 'sequential' | 'octopus'): Promise<any>;
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/**
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* Resolve conflicts between agent contributions
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*/
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resolveConflicts(conflictFiles: string[], strategy?: 'ours' | 'theirs' | 'manual'): Promise<void>;
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/**
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* Synchronize agent branches with main
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*/
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synchronizeAgents(agentIds?: string[]): Promise<void>;
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/**
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* Get agent activity summary
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*/
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getAgentActivity(agentId: string): Promise<any>;
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private getLatestCommitHash;
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private calculateQuality;
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private detectConflicts;
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}
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export { MultiAgentDataCoordinator, Agent, AgentContribution };
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//# sourceMappingURL=multi-agent-data-generation.d.ts.map
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