小橘 7432f80d61 refactor(knowledge-extraction): convert questioner and answerer to createRole four-tuple
- questioner: createRole(adapter, questionerPrompt, schema, extract) + queue short-circuit + meta post-processing
- answerer: createRole(adapter, answererPrompt, schema, extract) + empty-questions short-circuit
- build.ts: use createLlmAdapter(extract.provider) as default LLM adapter for questioner/answerer

Refs uncaged/nerve#277
2026-04-30 12:38:58 +00:00

34 lines
1.2 KiB
TypeScript

import type { AgentFn, WorkflowDefinition } from "@uncaged/nerve-core";
import type { LlmExtractorConfig } from "@uncaged/nerve-workflow-utils";
import { createLlmAdapter } from "@uncaged/nerve-workflow-utils";
import { moderator } from "./moderator.js";
import type { WorkflowMeta } from "./moderator.js";
import { createAnswererRole } from "./roles/answerer.js";
import { createExplorerRole } from "./roles/explorer.js";
import { createQuestionerRole } from "./roles/questioner.js";
export type CreateKnowledgeExtractionDeps = {
defaultAdapter: AgentFn;
adapters?: Partial<Record<keyof WorkflowMeta, AgentFn>>;
extract: LlmExtractorConfig;
};
export function createKnowledgeExtractionWorkflow({
defaultAdapter,
adapters,
extract,
}: CreateKnowledgeExtractionDeps): WorkflowDefinition<WorkflowMeta> {
const a = (role: keyof WorkflowMeta) => adapters?.[role] ?? defaultAdapter;
const llmAdapter = createLlmAdapter(extract.provider);
return {
name: "knowledge-extraction",
roles: {
questioner: createQuestionerRole(adapters?.questioner ?? llmAdapter, { extract }),
answerer: createAnswererRole(adapters?.answerer ?? llmAdapter, { extract }),
explorer: createExplorerRole(a("explorer"), { extract }),
},
moderator,
};
}