小橘
1c512435de
Three-role workflow (questioner → answerer → explorer) that iterates over .knowledge/ cards to discover and fill knowledge gaps via BFS. - questioner: createLlmRole, reads card, asks 3 technical questions - answerer: spawnSafe nerve knowledge query, judges answers - explorer: reads code, writes/patches .knowledge cards, runs sync - moderator: BFS queue from message history, stagnation rule Closes #266
32 lines
1.1 KiB
TypeScript
32 lines
1.1 KiB
TypeScript
import type { AgentFn, WorkflowDefinition } from "@uncaged/nerve-core";
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import type { LlmExtractorConfig } from "@uncaged/nerve-workflow-utils";
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import { moderator } from "./moderator.js";
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import type { WorkflowMeta } from "./moderator.js";
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import { createAnswererRole } from "./roles/answerer.js";
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import { createExplorerRole } from "./roles/explorer.js";
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import { createQuestionerRole } from "./roles/questioner.js";
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export type CreateKnowledgeExtractionDeps = {
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defaultAdapter: AgentFn;
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adapters?: Partial<Record<keyof WorkflowMeta, AgentFn>>;
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extract: LlmExtractorConfig;
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};
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export function createKnowledgeExtractionWorkflow({
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defaultAdapter,
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adapters,
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extract,
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}: CreateKnowledgeExtractionDeps): WorkflowDefinition<WorkflowMeta> {
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const a = (role: keyof WorkflowMeta) => adapters?.[role] ?? defaultAdapter;
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return {
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name: "knowledge-extraction",
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roles: {
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questioner: createQuestionerRole({ extract }),
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answerer: createAnswererRole({ extract }),
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explorer: createExplorerRole(a("explorer"), { extract }),
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},
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moderator,
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};
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}
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