llmExtract returns {} as T in dryRun mode, causing .map() on undefined.
Each role now returns mock data immediately when dryRun is true.
小橘 🍊(NEKO Team)
417 lines
12 KiB
TypeScript
417 lines
12 KiB
TypeScript
import type {
|
|
RoleResult,
|
|
StartStep,
|
|
WorkflowDefinition,
|
|
WorkflowMessage,
|
|
} from "@uncaged/nerve-core";
|
|
import { END } from "@uncaged/nerve-core";
|
|
import type { SpawnError } from "@uncaged/nerve-workflow-utils";
|
|
import {
|
|
cursorAgent,
|
|
llmExtract,
|
|
nerveAgentContext,
|
|
readNerveYaml,
|
|
spawnSafe,
|
|
} from "@uncaged/nerve-workflow-utils";
|
|
import { existsSync, readFileSync } from "node:fs";
|
|
import { join } from "node:path";
|
|
import { z } from "zod";
|
|
|
|
const HOME = process.env.HOME ?? "/home/azureuser";
|
|
const NERVE_ROOT = join(HOME, ".uncaged-nerve");
|
|
const SENSES_DIR = join(NERVE_ROOT, "senses");
|
|
|
|
function getNerveYaml(): string {
|
|
const result = readNerveYaml({ nerveRoot: NERVE_ROOT });
|
|
return result.ok ? result.value : "# nerve.yaml unavailable";
|
|
}
|
|
|
|
async function cfgGet(key: string): Promise<string | null> {
|
|
const result = await spawnSafe("cfg", ["get", key], {
|
|
cwd: NERVE_ROOT,
|
|
env: null,
|
|
timeoutMs: 10_000,
|
|
});
|
|
if (!result.ok) {
|
|
return null;
|
|
}
|
|
return result.value.stdout.trim() || null;
|
|
}
|
|
|
|
async function resolveDashScopeProvider(): Promise<{
|
|
baseUrl: string;
|
|
apiKey: string;
|
|
model: string;
|
|
} | null> {
|
|
const apiKey = process.env.DASHSCOPE_API_KEY ?? (await cfgGet("DASHSCOPE_API_KEY"));
|
|
const baseUrl = process.env.DASHSCOPE_BASE_URL ?? (await cfgGet("DASHSCOPE_BASE_URL"));
|
|
const model =
|
|
process.env.DASHSCOPE_MODEL ?? (await cfgGet("DASHSCOPE_MODEL")) ?? "qwen-plus";
|
|
if (!apiKey || !baseUrl) {
|
|
return null;
|
|
}
|
|
return { apiKey, baseUrl, model };
|
|
}
|
|
|
|
function formatSpawnFailure(error: SpawnError): string {
|
|
if (error.kind === "spawn_failed") {
|
|
return error.message;
|
|
}
|
|
if (error.kind === "timeout") {
|
|
return `timeout (stdout=${error.stdout.slice(0, 200)})`;
|
|
}
|
|
return `exit ${error.exitCode} stderr=${error.stderr.slice(0, 400)}`;
|
|
}
|
|
|
|
/**
|
|
* Run the same checks the workflow used to ask Hermes to perform, but locally.
|
|
* Hermes chat often returns UI prose instead of shell output, which caused false failures.
|
|
*/
|
|
async function runSenseSmokeTest(senseName: string): Promise<{ ok: boolean; log: string; reason: string }> {
|
|
const logParts: string[] = [];
|
|
|
|
const runNerve = async (args: string[]): Promise<{ ok: true; out: string } | { ok: false; err: string }> => {
|
|
const result = await spawnSafe("nerve", args, {
|
|
cwd: NERVE_ROOT,
|
|
env: null,
|
|
timeoutMs: 300_000,
|
|
});
|
|
if (!result.ok) {
|
|
return { ok: false, err: formatSpawnFailure(result.error) };
|
|
}
|
|
return { ok: true, out: result.value.stdout };
|
|
};
|
|
|
|
const statusRun = await runNerve(["status"]);
|
|
if (!statusRun.ok) {
|
|
return {
|
|
ok: false,
|
|
log: `=== nerve status ===\nERROR: ${statusRun.err}`,
|
|
reason: `Smoke test command failed: ${statusRun.err}`,
|
|
};
|
|
}
|
|
const status = statusRun.out;
|
|
logParts.push("=== nerve status ===\n" + status);
|
|
if (!status.includes(senseName)) {
|
|
return {
|
|
ok: false,
|
|
log: logParts.join("\n\n"),
|
|
reason: `Sense "${senseName}" not listed in \`nerve status\` output`,
|
|
};
|
|
}
|
|
|
|
const triggerRun = await runNerve(["sense", "trigger", senseName]);
|
|
if (!triggerRun.ok) {
|
|
logParts.push(`=== nerve sense trigger ===\nERROR: ${triggerRun.err}`);
|
|
return {
|
|
ok: false,
|
|
log: logParts.join("\n\n"),
|
|
reason: `Smoke test command failed: ${triggerRun.err}`,
|
|
};
|
|
}
|
|
logParts.push("=== nerve sense trigger ===\n" + triggerRun.out);
|
|
|
|
let lastQuery = "";
|
|
for (let i = 0; i < 25; i++) {
|
|
const sleepR = await spawnSafe("sleep", ["1"], { cwd: NERVE_ROOT, env: null, timeoutMs: 10_000 });
|
|
if (!sleepR.ok) {
|
|
logParts.push(`=== sleep (attempt ${i + 1}) ===\nERROR: ${formatSpawnFailure(sleepR.error)}`);
|
|
}
|
|
|
|
const queryRun = await runNerve(["sense", "query", senseName]);
|
|
if (!queryRun.ok) {
|
|
logParts.push(`=== nerve sense query (attempt ${i + 1}) ===\nERROR: ${queryRun.err}`);
|
|
} else {
|
|
lastQuery = queryRun.out;
|
|
logParts.push(`=== nerve sense query (attempt ${i + 1}) ===\n${lastQuery}`);
|
|
if (!lastQuery.includes("(0 rows)")) {
|
|
return {
|
|
ok: true,
|
|
log: logParts.join("\n\n"),
|
|
reason: "Trigger succeeded and query returned at least one row",
|
|
};
|
|
}
|
|
}
|
|
}
|
|
|
|
return {
|
|
ok: false,
|
|
log: logParts.join("\n\n"),
|
|
reason: lastQuery.includes("(0 rows)")
|
|
? "Query still returned 0 rows after trigger (compute error, throttle drop, or DB not written)"
|
|
: "Timed out waiting for successful sense query",
|
|
};
|
|
}
|
|
|
|
// Build context string with existing sense examples
|
|
function buildSenseExamples(): string {
|
|
const examples: string[] = [];
|
|
for (const name of ["cpu-usage", "linux-system-health"]) {
|
|
const dir = join(SENSES_DIR, name);
|
|
if (!existsSync(dir)) continue;
|
|
const indexFile = existsSync(join(dir, "index.js"))
|
|
? readFileSync(join(dir, "index.js"), "utf-8")
|
|
: "";
|
|
const schema = existsSync(join(dir, "schema.ts"))
|
|
? readFileSync(join(dir, "schema.ts"), "utf-8")
|
|
: "";
|
|
const migrationDir = join(dir, "migrations");
|
|
let migration = "";
|
|
if (existsSync(join(migrationDir, "0001_init.sql"))) {
|
|
migration = readFileSync(join(migrationDir, "0001_init.sql"), "utf-8");
|
|
}
|
|
examples.push(
|
|
`### Example sense: ${name}\n\n` +
|
|
`**index.js:**\n\`\`\`js\n${indexFile}\n\`\`\`\n\n` +
|
|
`**schema.ts:**\n\`\`\`ts\n${schema}\n\`\`\`\n\n` +
|
|
`**migrations/0001_init.sql:**\n\`\`\`sql\n${migration}\n\`\`\``,
|
|
);
|
|
}
|
|
return examples.join("\n\n---\n\n");
|
|
}
|
|
|
|
type SenseMeta = {
|
|
planner: { plan: string; senseName: string; userInput: string };
|
|
coder: { senseName: string; files: Record<string, boolean>; cursorOutput: string };
|
|
tester: { passed: boolean; senseName: string; reason: string; attempt: number };
|
|
};
|
|
|
|
const senseMetaSchema = z
|
|
.object({
|
|
name: z.string().describe("kebab-case sense name, e.g. 'disk-usage'"),
|
|
description: z.string().describe("One-line description of what this sense monitors"),
|
|
})
|
|
.describe("Extract the sense name and a one-line description from the plan");
|
|
|
|
const workflow: WorkflowDefinition<SenseMeta> = {
|
|
name: "sense-generator",
|
|
|
|
roles: {
|
|
async planner(
|
|
start: StartStep,
|
|
_messages: WorkflowMessage[],
|
|
): Promise<RoleResult<SenseMeta["planner"]>> {
|
|
const userInput = start.content;
|
|
|
|
const provider = await resolveDashScopeProvider();
|
|
if (provider === null) {
|
|
return {
|
|
content:
|
|
"Cannot run planner: set DASHSCOPE_API_KEY and DASHSCOPE_BASE_URL (or configure via `cfg get`), " +
|
|
"and optionally DASHSCOPE_MODEL.",
|
|
meta: { plan: "", senseName: "", userInput },
|
|
};
|
|
}
|
|
|
|
const planPrompt = `You are planning a new Nerve sense.
|
|
|
|
${nerveAgentContext}
|
|
|
|
User request: ${userInput}
|
|
Pick a good kebab-case name for this sense.
|
|
|
|
Your job is to produce a PLAN (not code) for this sense. Output a structured plan in markdown with these sections:
|
|
|
|
## Sense Design
|
|
|
|
### Name
|
|
(decide a kebab-case name)
|
|
|
|
### Fields
|
|
List every field the sense should collect, with name, type (integer/real/text), and description.
|
|
|
|
### Compute Logic
|
|
Describe step-by-step what the compute() function should do. Be specific about which Node.js APIs or shell commands to use.
|
|
|
|
### Trigger Config
|
|
- group: (suggest a group name)
|
|
- interval: (decide based on the use case, e.g. 30s, 1m, 5m)
|
|
- throttle: (suggest)
|
|
- timeout: (suggest)
|
|
|
|
Here are existing senses for reference on the format and patterns used:
|
|
|
|
${buildSenseExamples()}
|
|
|
|
Current nerve.yaml:
|
|
\`\`\`yaml
|
|
${getNerveYaml()}
|
|
\`\`\`
|
|
|
|
Output ONLY the plan in markdown. Be precise and implementation-ready.`;
|
|
|
|
const planResult = await cursorAgent({
|
|
prompt: planPrompt,
|
|
mode: "ask",
|
|
cwd: NERVE_ROOT,
|
|
env: null,
|
|
timeoutMs: null,
|
|
});
|
|
if (!planResult.ok) {
|
|
return {
|
|
content: `cursor-agent failed: ${formatSpawnFailure(planResult.error)}`,
|
|
meta: { plan: "", senseName: "", userInput },
|
|
};
|
|
}
|
|
const plan = planResult.value;
|
|
|
|
const extracted = await llmExtract({
|
|
text: plan,
|
|
schema: senseMetaSchema,
|
|
provider,
|
|
});
|
|
if (!extracted.ok) {
|
|
return {
|
|
content: `${plan}\n\n[llmExtract error] ${JSON.stringify(extracted.error)}`,
|
|
meta: { plan, senseName: "", userInput },
|
|
};
|
|
}
|
|
|
|
return {
|
|
content: plan,
|
|
meta: { plan, senseName: extracted.value.name, userInput },
|
|
};
|
|
},
|
|
|
|
async coder(
|
|
_start: StartStep,
|
|
messages: WorkflowMessage[],
|
|
): Promise<RoleResult<SenseMeta["coder"]>> {
|
|
const last = messages[messages.length - 1];
|
|
const { plan, senseName } = last.meta as { plan: string; senseName: string };
|
|
|
|
const codePrompt = `You are implementing a new Nerve sense called "${senseName}" in the directory ${SENSES_DIR}/${senseName}/.
|
|
|
|
Here is the plan:
|
|
|
|
${plan}
|
|
|
|
You need to create exactly 3 files:
|
|
1. \`${SENSES_DIR}/${senseName}/index.js\` — the compute() function
|
|
2. \`${SENSES_DIR}/${senseName}/schema.ts\` — Drizzle ORM schema
|
|
3. \`${SENSES_DIR}/${senseName}/migrations/0001_init.sql\` — SQLite migration
|
|
|
|
And UPDATE the existing file:
|
|
4. \`${NERVE_ROOT}/nerve.yaml\` — add the new sense config and reflex entry
|
|
|
|
Here are existing senses for reference — follow the EXACT same patterns:
|
|
|
|
${buildSenseExamples()}
|
|
|
|
Current nerve.yaml (append to it, don't overwrite existing entries):
|
|
\`\`\`yaml
|
|
${getNerveYaml()}
|
|
\`\`\`
|
|
|
|
IMPORTANT RULES:
|
|
- index.js uses \`export async function compute(db, _peers)\` signature
|
|
- index.js imports the schema table from "./schema.ts" and uses \`await db.insert(table).values({...})\` to persist
|
|
- schema.ts uses drizzle-orm/sqlite-core imports
|
|
- migration SQL must match schema.ts exactly
|
|
- nerve.yaml: add under \`senses:\` and add a reflex under \`reflexes:\`
|
|
- Use the interval specified in the plan for the reflex
|
|
|
|
Create all files now.`;
|
|
|
|
const agentResult = await cursorAgent({
|
|
prompt: codePrompt,
|
|
mode: "default",
|
|
cwd: NERVE_ROOT,
|
|
env: null,
|
|
timeoutMs: null,
|
|
});
|
|
if (!agentResult.ok) {
|
|
const resultText = `cursor-agent failed: ${formatSpawnFailure(agentResult.error)}`;
|
|
return {
|
|
content: resultText,
|
|
meta: {
|
|
senseName,
|
|
files: { index: false, schema: false, migration: false },
|
|
cursorOutput: resultText,
|
|
},
|
|
};
|
|
}
|
|
const result = agentResult.value;
|
|
|
|
const senseDir = join(SENSES_DIR, senseName);
|
|
const files = {
|
|
index: existsSync(join(senseDir, "index.js")),
|
|
schema: existsSync(join(senseDir, "schema.ts")),
|
|
migration: existsSync(join(senseDir, "migrations", "0001_init.sql")),
|
|
};
|
|
|
|
return {
|
|
content: result,
|
|
meta: { senseName, files, cursorOutput: result },
|
|
};
|
|
},
|
|
|
|
async tester(
|
|
_start: StartStep,
|
|
messages: WorkflowMessage[],
|
|
): Promise<RoleResult<SenseMeta["tester"]>> {
|
|
const last = messages[messages.length - 1];
|
|
const { senseName, files } = last.meta as { senseName: string; files: Record<string, boolean> };
|
|
|
|
const attempt = messages.filter((m) => m.role === "tester").length + 1;
|
|
|
|
const missing = Object.entries(files).filter(([, v]) => !v).map(([k]) => k);
|
|
if (missing.length > 0) {
|
|
return {
|
|
content: `FAIL — missing files: ${missing.join(", ")}`,
|
|
meta: { passed: false, senseName, reason: `Missing files: ${missing.join(", ")}`, attempt },
|
|
};
|
|
}
|
|
|
|
const smoke = await runSenseSmokeTest(senseName);
|
|
|
|
if (smoke.ok) {
|
|
return {
|
|
content: `PASS — ${smoke.reason}`,
|
|
meta: { passed: true, senseName, reason: smoke.reason, attempt },
|
|
};
|
|
}
|
|
|
|
return {
|
|
content: `FAIL — ${smoke.reason}`,
|
|
meta: {
|
|
passed: false,
|
|
senseName,
|
|
reason: `${smoke.reason}\n\n--- smoke log ---\n${smoke.log}`,
|
|
attempt,
|
|
},
|
|
};
|
|
},
|
|
},
|
|
|
|
moderator(context) {
|
|
if (context.steps.length === 0) {
|
|
return "planner";
|
|
}
|
|
|
|
const signal = context.steps[context.steps.length - 1];
|
|
if (signal.role === "planner") {
|
|
return "coder";
|
|
}
|
|
|
|
if (signal.role === "coder") {
|
|
return "tester";
|
|
}
|
|
|
|
if (signal.role === "tester") {
|
|
const meta = signal.meta;
|
|
if (meta.passed) {
|
|
return END;
|
|
}
|
|
if (meta.attempt < 3) {
|
|
return "coder";
|
|
}
|
|
return END;
|
|
}
|
|
|
|
return END;
|
|
},
|
|
};
|
|
|
|
export default workflow;
|