Files
Codewalkers/apps/server/trpc/routers/agent.ts
Lukas May 4a9f38c4e1 perf: replace O(N·chunks) listForRadar read path with O(N·agents) metrics lookup
listForRadar previously called findByAgentIds() and JSON-parsed every chunk to
compute questionsCount, subagentsCount, and compactionsCount. Switch to
findMetricsByAgentIds() which reads the pre-computed agent_metrics table,
eliminating the chunk scan and per-row JSON.parse entirely.

Add two new test cases: agent with no metrics row returns zero counts, and
listForRadar response rows never carry chunk content.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-06 21:35:29 +01:00

580 lines
21 KiB
TypeScript

/**
* Agent Router — spawn, stop, delete, list, get, resume, result, questions, output
*/
import { TRPCError } from '@trpc/server';
import { z } from 'zod';
import { tracked, type TrackedEnvelope } from '@trpc/server';
import path from 'path';
import fs from 'fs/promises';
import type { ProcedureBuilder } from '../trpc.js';
import type { TRPCContext } from '../context.js';
import type { AgentInfo, AgentResult, PendingQuestions } from '../../agent/types.js';
import type { AgentOutputEvent } from '../../events/types.js';
import { requireAgentManager, requireLogChunkRepository, requireTaskRepository, requireInitiativeRepository, requireConversationRepository } from './_helpers.js';
export type AgentRadarRow = {
id: string;
name: string;
mode: string;
status: string;
initiativeId: string | null;
initiativeName: string | null;
taskId: string | null;
taskName: string | null;
createdAt: string;
questionsCount: number;
messagesCount: number;
subagentsCount: number;
compactionsCount: number;
};
export const spawnAgentInputSchema = z.object({
name: z.string().min(1).optional(),
taskId: z.string().min(1),
prompt: z.string().min(1),
cwd: z.string().optional(),
mode: z.enum(['execute', 'discuss', 'plan', 'detail', 'refine']).optional(),
provider: z.string().optional(),
initiativeId: z.string().min(1).optional(),
});
export type SpawnAgentInput = z.infer<typeof spawnAgentInputSchema>;
export const agentIdentifierSchema = z.object({
name: z.string().optional(),
id: z.string().optional(),
}).refine(data => data.name || data.id, {
message: 'Either name or id must be provided',
});
export type AgentIdentifier = z.infer<typeof agentIdentifierSchema>;
export const resumeAgentInputSchema = z.object({
name: z.string().optional(),
id: z.string().optional(),
answers: z.record(z.string(), z.string()),
}).refine(data => data.name || data.id, {
message: 'Either name or id must be provided',
});
export type ResumeAgentInput = z.infer<typeof resumeAgentInputSchema>;
async function resolveAgent(
ctx: TRPCContext,
input: { name?: string; id?: string }
): Promise<AgentInfo> {
if (!ctx.agentManager) {
throw new TRPCError({
code: 'INTERNAL_SERVER_ERROR',
message: 'Agent manager not available',
});
}
const agent = input.name
? await ctx.agentManager.getByName(input.name)
: await ctx.agentManager.get(input.id!);
if (!agent) {
throw new TRPCError({
code: 'NOT_FOUND',
message: `Agent '${input.name ?? input.id}' not found`,
});
}
return agent;
}
export function agentProcedures(publicProcedure: ProcedureBuilder) {
return {
spawnAgent: publicProcedure
.input(spawnAgentInputSchema)
.mutation(async ({ ctx, input }) => {
const agentManager = requireAgentManager(ctx);
return agentManager.spawn({
name: input.name,
taskId: input.taskId,
prompt: input.prompt,
cwd: input.cwd,
mode: input.mode,
provider: input.provider,
initiativeId: input.initiativeId,
});
}),
stopAgent: publicProcedure
.input(agentIdentifierSchema)
.mutation(async ({ ctx, input }) => {
const agentManager = requireAgentManager(ctx);
const agent = await resolveAgent(ctx, input);
await agentManager.stop(agent.id);
return { success: true, name: agent.name };
}),
deleteAgent: publicProcedure
.input(agentIdentifierSchema)
.mutation(async ({ ctx, input }) => {
const agentManager = requireAgentManager(ctx);
const agent = await resolveAgent(ctx, input);
await agentManager.delete(agent.id);
return { success: true, name: agent.name };
}),
dismissAgent: publicProcedure
.input(agentIdentifierSchema)
.mutation(async ({ ctx, input }) => {
const agentManager = requireAgentManager(ctx);
const agent = await resolveAgent(ctx, input);
await agentManager.dismiss(agent.id);
return { success: true, name: agent.name };
}),
listAgents: publicProcedure
.query(async ({ ctx }) => {
const agentManager = requireAgentManager(ctx);
return agentManager.list();
}),
getAgent: publicProcedure
.input(agentIdentifierSchema)
.query(async ({ ctx, input }) => {
const agent = await resolveAgent(ctx, input);
let taskName: string | null = null;
let initiativeName: string | null = null;
if (agent.taskId) {
const taskRepo = requireTaskRepository(ctx);
const task = await taskRepo.findById(agent.taskId);
taskName = task?.name ?? null;
}
if (agent.initiativeId) {
const initiativeRepo = requireInitiativeRepository(ctx);
const initiative = await initiativeRepo.findById(agent.initiativeId);
initiativeName = initiative?.name ?? null;
}
return { ...agent, taskName, initiativeName };
}),
getAgentByName: publicProcedure
.input(z.object({ name: z.string().min(1) }))
.query(async ({ ctx, input }) => {
const agentManager = requireAgentManager(ctx);
return agentManager.getByName(input.name);
}),
resumeAgent: publicProcedure
.input(resumeAgentInputSchema)
.mutation(async ({ ctx, input }) => {
const agentManager = requireAgentManager(ctx);
const agent = await resolveAgent(ctx, input);
await agentManager.resume(agent.id, input.answers);
return { success: true, name: agent.name };
}),
getAgentResult: publicProcedure
.input(agentIdentifierSchema)
.query(async ({ ctx, input }): Promise<AgentResult | null> => {
const agentManager = requireAgentManager(ctx);
const agent = await resolveAgent(ctx, input);
return agentManager.getResult(agent.id);
}),
getAgentQuestions: publicProcedure
.input(agentIdentifierSchema)
.query(async ({ ctx, input }): Promise<PendingQuestions | null> => {
const agentManager = requireAgentManager(ctx);
const agent = await resolveAgent(ctx, input);
return agentManager.getPendingQuestions(agent.id);
}),
listWaitingAgents: publicProcedure
.query(async ({ ctx }) => {
const agentManager = requireAgentManager(ctx);
const allAgents = await agentManager.list();
return allAgents.filter(agent => agent.status === 'waiting_for_input');
}),
getActiveRefineAgent: publicProcedure
.input(z.object({ initiativeId: z.string().min(1) }))
.query(async ({ ctx, input }): Promise<AgentInfo | null> => {
const agentManager = requireAgentManager(ctx);
const allAgents = await agentManager.list();
// Surface discuss and refine agents — both work on initiative content
const CONTENT_MODES = ['discuss', 'refine'];
const candidates = allAgents
.filter(
(a) =>
CONTENT_MODES.includes(a.mode) &&
a.initiativeId === input.initiativeId &&
['running', 'waiting_for_input', 'idle', 'crashed'].includes(a.status) &&
!a.userDismissedAt,
)
.sort(
(a, b) =>
new Date(b.createdAt).getTime() - new Date(a.createdAt).getTime(),
);
return candidates[0] ?? null;
}),
getTaskAgent: publicProcedure
.input(z.object({ taskId: z.string().min(1) }))
.query(async ({ ctx, input }): Promise<AgentInfo | null> => {
const agentManager = requireAgentManager(ctx);
const all = await agentManager.list();
const matches = all
.filter(a => a.taskId === input.taskId)
.sort((a, b) => new Date(b.createdAt).getTime() - new Date(a.createdAt).getTime());
return matches[0] ?? null;
}),
getActiveConflictAgent: publicProcedure
.input(z.object({ initiativeId: z.string().min(1) }))
.query(async ({ ctx, input }): Promise<AgentInfo | null> => {
const agentManager = requireAgentManager(ctx);
const allAgents = await agentManager.list();
const candidates = allAgents
.filter(
(a) =>
a.mode === 'execute' &&
a.initiativeId === input.initiativeId &&
a.name?.startsWith('conflict-') &&
['running', 'waiting_for_input', 'idle', 'crashed'].includes(a.status) &&
!a.userDismissedAt,
)
.sort(
(a, b) =>
new Date(b.createdAt).getTime() - new Date(a.createdAt).getTime(),
);
return candidates[0] ?? null;
}),
getAgentOutput: publicProcedure
.input(agentIdentifierSchema)
.query(async ({ ctx, input }) => {
const agent = await resolveAgent(ctx, input);
const logChunkRepo = requireLogChunkRepository(ctx);
const chunks = await logChunkRepo.findByAgentId(agent.id);
return chunks.map(c => ({
content: c.content,
createdAt: c.createdAt.toISOString(),
}));
}),
onAgentOutput: publicProcedure
.input(z.object({ agentId: z.string().min(1) }))
.subscription(async function* (opts): AsyncGenerator<TrackedEnvelope<{ agentId: string; data: string }>> {
const { agentId } = opts.input;
const signal = opts.signal ?? new AbortController().signal;
const eventBus = opts.ctx.eventBus;
let eventCounter = 0;
const queue: string[] = [];
let resolve: (() => void) | null = null;
const handler = (event: AgentOutputEvent) => {
if (event.payload.agentId !== agentId) return;
queue.push(event.payload.data);
if (resolve) {
const r = resolve;
resolve = null;
r();
}
};
eventBus.on('agent:output', handler);
const cleanup = () => {
eventBus.off('agent:output', handler);
if (resolve) {
const r = resolve;
resolve = null;
r();
}
};
signal.addEventListener('abort', cleanup, { once: true });
try {
while (!signal.aborted) {
while (queue.length > 0) {
const data = queue.shift()!;
const id = `${agentId}-live-${eventCounter++}`;
yield tracked(id, { agentId, data });
}
if (!signal.aborted) {
await new Promise<void>((r) => {
resolve = r;
});
}
}
} finally {
cleanup();
}
}),
getAgentInputFiles: publicProcedure
.input(z.object({ id: z.string().min(1) }))
.output(z.object({
files: z.array(z.object({
name: z.string(),
content: z.string(),
sizeBytes: z.number(),
})),
reason: z.enum(['worktree_missing', 'input_dir_missing']).optional(),
}))
.query(async ({ ctx, input }) => {
const agent = await resolveAgent(ctx, { id: input.id });
const worktreeRoot = path.join(ctx.workspaceRoot!, 'agent-workdirs', agent.worktreeId);
const inputDir = path.join(worktreeRoot, '.cw', 'input');
// Check worktree root exists
try {
await fs.stat(worktreeRoot);
} catch {
return { files: [], reason: 'worktree_missing' as const };
}
// Check input dir exists
try {
await fs.stat(inputDir);
} catch {
return { files: [], reason: 'input_dir_missing' as const };
}
// Walk inputDir recursively
const entries = await fs.readdir(inputDir, { recursive: true, withFileTypes: true });
const MAX_SIZE = 500 * 1024;
const results: Array<{ name: string; content: string; sizeBytes: number }> = [];
for (const entry of entries) {
if (!entry.isFile()) continue;
// entry.parentPath is available in Node 20+
const dir = (entry as any).parentPath ?? (entry as any).path;
const fullPath = path.join(dir, entry.name);
const relativeName = path.relative(inputDir, fullPath);
try {
// Binary detection: read first 512 bytes
const fd = await fs.open(fullPath, 'r');
const headerBuf = Buffer.alloc(512);
const { bytesRead } = await fd.read(headerBuf, 0, 512, 0);
await fd.close();
if (headerBuf.slice(0, bytesRead).includes(0)) continue; // skip binary
const raw = await fs.readFile(fullPath);
const sizeBytes = raw.length;
let content: string;
if (sizeBytes > MAX_SIZE) {
content = raw.slice(0, MAX_SIZE).toString('utf-8') + '\n\n[truncated — file exceeds 500 KB]';
} else {
content = raw.toString('utf-8');
}
results.push({ name: relativeName, content, sizeBytes });
} catch {
continue; // skip unreadable files
}
}
results.sort((a, b) => a.name.localeCompare(b.name));
return { files: results };
}),
getAgentPrompt: publicProcedure
.input(z.object({ id: z.string().min(1) }))
.output(z.object({
content: z.string().nullable(),
reason: z.enum(['prompt_not_written']).optional(),
}))
.query(async ({ ctx, input }) => {
const agent = await resolveAgent(ctx, { id: input.id });
const MAX_BYTES = 1024 * 1024; // 1 MB
function truncateIfNeeded(text: string): string {
if (Buffer.byteLength(text, 'utf-8') > MAX_BYTES) {
const buf = Buffer.from(text, 'utf-8');
return buf.slice(0, MAX_BYTES).toString('utf-8') + '\n\n[truncated — prompt exceeds 1 MB]';
}
return text;
}
// Prefer DB-persisted prompt (durable even after log file cleanup)
if (agent.prompt !== null) {
return { content: truncateIfNeeded(agent.prompt) };
}
// Fall back to filesystem for agents spawned before DB persistence was added
const promptPath = path.join(ctx.workspaceRoot!, '.cw', 'agent-logs', agent.name, 'PROMPT.md');
let raw: string;
try {
raw = await fs.readFile(promptPath, 'utf-8');
} catch (err: any) {
if (err?.code === 'ENOENT') {
return { content: null, reason: 'prompt_not_written' as const };
}
throw new TRPCError({
code: 'INTERNAL_SERVER_ERROR',
message: `Failed to read prompt file: ${String(err)}`,
});
}
return { content: truncateIfNeeded(raw) };
}),
listForRadar: publicProcedure
.input(z.object({
timeRange: z.enum(['1h', '6h', '24h', '7d', 'all']).default('24h'),
status: z.enum(['running', 'completed', 'crashed']).optional(),
initiativeId: z.string().optional(),
mode: z.enum(['execute', 'discuss', 'plan', 'detail', 'refine', 'chat', 'errand']).optional(),
}))
.query(async ({ ctx, input }): Promise<AgentRadarRow[]> => {
const agentManager = requireAgentManager(ctx);
const allAgents = await agentManager.list();
// Compute cutoff
const cutoffMap: Record<string, number> = {
'1h': Date.now() - 3_600_000,
'6h': Date.now() - 21_600_000,
'24h': Date.now() - 86_400_000,
'7d': Date.now() - 604_800_000,
};
const cutoff = input.timeRange !== 'all' ? cutoffMap[input.timeRange] : null;
// Filter agents
let filteredAgents = allAgents;
if (cutoff !== null) {
filteredAgents = filteredAgents.filter(a => a.createdAt.getTime() >= cutoff!);
}
if (input.status !== undefined) {
const dbStatus = input.status === 'completed' ? 'stopped' : input.status;
filteredAgents = filteredAgents.filter(a => a.status === dbStatus);
}
if (input.initiativeId !== undefined) {
filteredAgents = filteredAgents.filter(a => a.initiativeId === input.initiativeId);
}
if (input.mode !== undefined) {
filteredAgents = filteredAgents.filter(a => a.mode === input.mode);
}
const matchingIds = filteredAgents.map(a => a.id);
// Batch fetch in parallel
const logChunkRepo = requireLogChunkRepository(ctx);
const conversationRepo = requireConversationRepository(ctx);
const initiativeRepo = requireInitiativeRepository(ctx);
const taskRepo = requireTaskRepository(ctx);
// Collect unique taskIds and initiativeIds for batch lookup
const uniqueTaskIds = [...new Set(filteredAgents.map(a => a.taskId).filter(Boolean) as string[])];
const uniqueInitiativeIds = [...new Set(filteredAgents.map(a => a.initiativeId).filter(Boolean) as string[])];
const [metrics, messageCounts, taskResults, initiativeResults] = await Promise.all([
logChunkRepo.findMetricsByAgentIds(matchingIds),
conversationRepo.countByFromAgentIds(matchingIds),
Promise.all(uniqueTaskIds.map(id => taskRepo.findById(id))),
Promise.all(uniqueInitiativeIds.map(id => initiativeRepo.findById(id))),
]);
// Build lookup maps
const taskMap = new Map(taskResults.filter(Boolean).map(t => [t!.id, t!.name]));
const initiativeMap = new Map(initiativeResults.filter(Boolean).map(i => [i!.id, i!.name]));
const messagesMap = new Map(messageCounts.map(m => [m.agentId, m.count]));
const metricsMap = new Map(metrics.map(m => [m.agentId, m]));
// Build result rows
return filteredAgents.map(agent => {
const agentMetrics = metricsMap.get(agent.id);
const questionsCount = agentMetrics?.questionsCount ?? 0;
const subagentsCount = agentMetrics?.subagentsCount ?? 0;
const compactionsCount = agentMetrics?.compactionsCount ?? 0;
return {
id: agent.id,
name: agent.name,
mode: agent.mode,
status: agent.status,
initiativeId: agent.initiativeId,
initiativeName: agent.initiativeId ? (initiativeMap.get(agent.initiativeId) ?? null) : null,
taskId: agent.taskId,
taskName: agent.taskId ? (taskMap.get(agent.taskId) ?? null) : null,
createdAt: agent.createdAt.toISOString(),
questionsCount,
messagesCount: messagesMap.get(agent.id) ?? 0,
subagentsCount,
compactionsCount,
};
});
}),
getCompactionEvents: publicProcedure
.input(z.object({ agentId: z.string().min(1) }))
.query(async ({ ctx, input }) => {
const logChunkRepo = requireLogChunkRepository(ctx);
const chunks = await logChunkRepo.findByAgentId(input.agentId);
const results: { timestamp: string; sessionNumber: number }[] = [];
for (const chunk of chunks) {
try {
const parsed = JSON.parse(chunk.content);
if (parsed.type === 'system' && parsed.subtype === 'init' && parsed.source === 'compact') {
results.push({ timestamp: chunk.createdAt.toISOString(), sessionNumber: chunk.sessionNumber });
}
} catch { /* skip malformed */ }
if (results.length >= 200) break;
}
return results;
}),
getSubagentSpawns: publicProcedure
.input(z.object({ agentId: z.string().min(1) }))
.query(async ({ ctx, input }) => {
const logChunkRepo = requireLogChunkRepository(ctx);
const chunks = await logChunkRepo.findByAgentId(input.agentId);
const results: { timestamp: string; description: string; promptPreview: string; fullPrompt: string }[] = [];
for (const chunk of chunks) {
try {
const parsed = JSON.parse(chunk.content);
if (parsed.type === 'tool_use' && parsed.name === 'Agent') {
const fullPrompt: string = parsed.input?.prompt ?? '';
const description: string = parsed.input?.description ?? '';
results.push({
timestamp: chunk.createdAt.toISOString(),
description,
promptPreview: fullPrompt.slice(0, 200),
fullPrompt,
});
}
} catch { /* skip malformed */ }
if (results.length >= 200) break;
}
return results;
}),
getQuestionsAsked: publicProcedure
.input(z.object({ agentId: z.string().min(1) }))
.query(async ({ ctx, input }) => {
const logChunkRepo = requireLogChunkRepository(ctx);
const chunks = await logChunkRepo.findByAgentId(input.agentId);
type QuestionItem = { question: string; header: string; options: { label: string; description: string }[] };
const results: { timestamp: string; questions: QuestionItem[] }[] = [];
for (const chunk of chunks) {
try {
const parsed = JSON.parse(chunk.content);
if (parsed.type === 'tool_use' && parsed.name === 'AskUserQuestion') {
const questions: QuestionItem[] = parsed.input?.questions ?? [];
results.push({ timestamp: chunk.createdAt.toISOString(), questions });
}
} catch { /* skip malformed */ }
if (results.length >= 200) break;
}
return results;
}),
};
}