小橘 1c512435de feat: add knowledge-extraction BFS workflow
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
2026-04-30 02:27:10 +00:00

31 lines
907 B
TypeScript

import { join } from "node:path";
import { createCursorAdapter } from "@uncaged/nerve-adapter-cursor";
import { hermesAdapter } from "@uncaged/nerve-adapter-hermes";
import { createKnowledgeExtractionWorkflow } from "./build.js";
import { resolveDashScopeProvider } from "../solve-issue/lib/provider.js";
const HOME = process.env.HOME ?? "/home/azureuser";
const NERVE_ROOT = join(HOME, ".uncaged-nerve");
const provider = await resolveDashScopeProvider(NERVE_ROOT);
if (provider === null) {
throw new Error("Set DASHSCOPE_API_KEY and DASHSCOPE_BASE_URL (or cfg get equivalents)");
}
const CURSOR_TIMEOUT_MS = 300_000;
const workflow = createKnowledgeExtractionWorkflow({
defaultAdapter: hermesAdapter,
adapters: {
explorer: createCursorAdapter({
type: "cursor",
model: "auto",
timeout: CURSOR_TIMEOUT_MS,
}),
},
extract: { provider },
});
export default workflow;