Files
AgentCompany/tests/unit/agent-run-loop.test.ts
T
ZacharyZhang-NY 291816aa06 Give agents hands: workspace read/list/exec tools so engineers build instead of describing
Every "engineering" deliverable the company ever produced was a markdown
skeleton, because documentation was the ceiling of the toolset:
write_deliverable and create_document were the only artifact tools. An
engineer could not see the files that exist, read a line of code, or run a
single command — and create_task hardcoded requires_filesystem to false, so
the entire approval-gated read_write mount plumbing was dead code.

New workspace capability (agent-workspace-tools.ts):
- list_files / read_file: explore the bound workspace, traversal-guarded by
  the same resolveWorkspacePath used for writes, size- and count-capped.
- run_command: real shell execution with the workspace as cwd, 120s timeout,
  16k output cap. Gated on the task's approved filesystem grant — the same
  requires_filesystem flag that flips the mount to read_write and routes the
  task through operator approval (auto-approved only in AI-CEO mode, which
  is that mode's explicit contract).
- create_task now takes requires_filesystem, so the CEO and officers can
  delegate engineering work that is allowed to change code and run tests.
- Prompts brief every agent on the tools, and filesystem tasks state the
  bar directly: real output is code that builds and tests that pass — a
  document describing the work does not close an engineering task.

Tests: tool registry, dependency-folder-skipping listing, traversal refusal,
the run_command access gate plus exit-code reporting, and the create_task
approval path for filesystem work.
2026-07-09 19:23:28 -04:00

235 lines
13 KiB
TypeScript

import { existsSync, mkdirSync, readFileSync } from "node:fs";
import { randomUUID } from "node:crypto";
import { tmpdir } from "node:os";
import { join } from "node:path";
import { describe, expect, test } from "vitest";
import { DatabaseConnection } from "../../src/main/database/connection";
import { OrganizationService } from "../../src/main/services/organization-service";
import { ChatService } from "../../src/main/services/chat-service";
import { runAgentLoop } from "../../src/main/services/agent-run-loop";
import { canonicalMentionHandle } from "../../src/shared/mention-handles";
import type { AgentToolContext } from "../../src/main/services/agent-tools";
import type { AgentTurnResult, ToolCall } from "../../src/main/services/provider-tool-turn";
interface ScriptedTurn {
text: string;
toolCalls: ToolCall[];
}
function fakeProvider(script: ScriptedTurn[]) {
let index = 0;
return {
runToolTurn: async (): Promise<AgentTurnResult & { requestId: string }> => {
const turn = script[index] ?? { text: "done", toolCalls: [] };
index += 1;
return { text: turn.text, toolCalls: turn.toolCalls, rawResponseJson: "{}", requestId: `req_${index}` };
},
};
}
function call(name: string, args: Record<string, unknown>): ToolCall {
return { id: `call_${randomUUID()}`, name, arguments: args };
}
describe("agent run loop (real tool dispatch)", () => {
test("the CEO hires, creates a task, writes a deliverable, then converges", async () => {
const connection = new DatabaseConnection(join(tmpdir(), `ac-loop-${randomUUID()}.db`));
const organization = new OrganizationService(connection.db);
const workspaceRoot = join(tmpdir(), `ac-ws-${randomUUID()}`);
mkdirSync(workspaceRoot, { recursive: true });
let orgId = "";
let ceoId = "";
let providerId = "";
const workspaceId = "wsp_test";
connection.transaction(() => {
orgId = organization.createOrganization({
organizationName: "OrbitOps", employeeName: "Yang", mission: "Run an AI company.", goal: "Win customers.",
});
providerId = (connection.db.prepare("select id from providers where org_id = ? and provider_key = 'openai'").get(orgId) as { id: string }).id;
connection.db.prepare("update providers set enabled = 1 where id = ?").run(providerId);
connection.db.prepare(`
insert into workspaces(id, org_id, name, local_path, repo_url, repo_ref, project_id, is_primary, created_at, updated_at)
values (?, ?, 'Default Workspace', ?, '', '', null, 1, datetime('now'), datetime('now'))
`).run(workspaceId, orgId, workspaceRoot);
ceoId = organization.createAgent({
orgId, name: "CEO", role: "CEO", title: "Chief Executive Officer", department: "Executive",
modelProviderId: providerId, modelId: "gpt-5.4", budgetCents: 25000, managerAgentId: null,
roleLevel: "c_suite", workspaceId,
});
});
const toolContext: AgentToolContext = {
orgId,
agent: { id: ceoId, modelProviderId: providerId, modelId: "gpt-5.4" },
taskProjectId: null,
taskGoalId: null,
workspace: { id: workspaceId, localPath: workspaceRoot, writeAccess: true },
};
const script: ScriptedTurn[] = [
{ text: "Staffing the team.", toolCalls: [
call("hire_agent", { name: "Alex Rivera", role: "Growth Marketer", department: "Marketing" }),
call("hire_agent", { name: "Sam Lee", role: "Operations Lead", department: "Operations" }),
] },
{ text: "Delegating.", toolCalls: [
call("create_task", { title: "Build the booking site", description: "Ship a landing + booking flow.", assignee_agent_name: "Alex Rivera" }),
] },
{ text: "Writing the plan.", toolCalls: [
call("write_deliverable", { path: "plan/operating-plan.md", content: "# Operating Plan\n\n1. Validate demand.\n2. Launch booking site.\n" }),
call("send_message", { channel: "general", body: "Team staffed and the operating plan is live. Booking site is next." }),
] },
{ text: "Team staffed, work delegated, plan written.", toolCalls: [] },
];
let toolResultNotifications = 0;
const result = await runAgentLoop(
{
providers: fakeProvider(script),
tools: { db: connection.db, organization, chat: new ChatService(connection.db) },
onToolResults: () => { toolResultNotifications += 1; },
},
{ orgId, providerId, workspaceId, instructions: "You are the CEO.", initialUserTurn: "Start the company.", toolContext },
);
expect(result.iterations).toBe(4);
expect(result.toolCallCount).toBe(5);
expect(result.finalText).toContain("Team staffed");
// The UI is told about new data after every tool-bearing iteration, not only at the end.
expect(toolResultNotifications).toBe(3);
const agentNames = (connection.db.prepare("select name from agents where org_id = ? order by name").all(orgId) as Array<{ name: string }>).map((r) => r.name);
expect(agentNames).toEqual(["Alex Rivera", "CEO", "Sam Lee"]);
const task = connection.db.prepare("select title, assignee_agent_id from tasks where org_id = ?").get(orgId) as { title: string; assignee_agent_id: string } | undefined;
expect(task?.title).toBe("Build the booking site");
const alexId = (connection.db.prepare("select id from agents where org_id = ? and name = 'Alex Rivera'").get(orgId) as { id: string }).id;
expect(task?.assignee_agent_id).toBe(alexId);
const deliverablePath = join(workspaceRoot, "plan", "operating-plan.md");
expect(existsSync(deliverablePath)).toBe(true);
expect(readFileSync(deliverablePath, "utf8")).toContain("Operating Plan");
// The assignment message and the CEO's coordination message both land in chat.
const messages = connection.db.prepare(
"select sender_type, sender_id, body_md, space_id from chat_messages where org_id = ?",
).all(orgId) as Array<{ sender_type: string; sender_id: string; body_md: string; space_id: string }>;
expect(messages).toHaveLength(2);
expect(messages).toContainEqual(expect.objectContaining({ sender_type: "agent", sender_id: ceoId, body_md: expect.stringContaining(`@${canonicalMentionHandle("Alex Rivera")}`) }));
expect(messages).toContainEqual(expect.objectContaining({ sender_type: "agent", sender_id: ceoId, body_md: expect.stringContaining("operating plan is live") }));
connection.close();
});
test("rejects deliverable paths that escape the workspace", async () => {
const connection = new DatabaseConnection(join(tmpdir(), `ac-loop2-${randomUUID()}.db`));
const organization = new OrganizationService(connection.db);
const workspaceRoot = join(tmpdir(), `ac-ws2-${randomUUID()}`);
mkdirSync(workspaceRoot, { recursive: true });
let orgId = "";
let ceoId = "";
let providerId = "";
connection.transaction(() => {
orgId = organization.createOrganization({ organizationName: "OrbitOps", employeeName: "Yang", mission: "m", goal: "g" });
providerId = (connection.db.prepare("select id from providers where org_id = ? and provider_key = 'openai'").get(orgId) as { id: string }).id;
ceoId = organization.createAgent({ orgId, name: "CEO", role: "CEO", department: "Executive", modelProviderId: providerId, modelId: "gpt-5.4", budgetCents: 25000, managerAgentId: null });
});
const ctx: AgentToolContext = {
orgId, agent: { id: ceoId, modelProviderId: providerId, modelId: "gpt-5.4" },
taskProjectId: null, taskGoalId: null, workspace: { id: "wsp", localPath: workspaceRoot, writeAccess: true },
};
const script: ScriptedTurn[] = [
{ text: "escape", toolCalls: [call("write_deliverable", { path: "../escape.txt", content: "x" })] },
{ text: "done", toolCalls: [] },
];
const result = await runAgentLoop(
{ providers: fakeProvider(script), tools: { db: connection.db, organization, chat: new ChatService(connection.db) } },
{ orgId, providerId, workspaceId: null, instructions: "i", initialUserTurn: "u", toolContext: ctx },
);
// The tool returns an error string to the model; nothing is written outside the root.
expect(existsSync(join(workspaceRoot, "..", "escape.txt"))).toBe(false);
expect(result.toolCallCount).toBe(1);
connection.close();
});
test("delegating a task opens an assignment thread for the assignee", async () => {
const connection = new DatabaseConnection(join(tmpdir(), `ac-loop-assign-${randomUUID()}.db`));
const organization = new OrganizationService(connection.db);
let orgId = "";
let ceoId = "";
let providerId = "";
connection.transaction(() => {
orgId = organization.createOrganization({
organizationName: "OrbitOps", employeeName: "Yang", mission: "m", goal: "g",
});
providerId = (connection.db.prepare("select id from providers where org_id = ? and provider_key = 'openai'").get(orgId) as { id: string }).id;
connection.db.prepare("update providers set enabled = 1 where id = ?").run(providerId);
ceoId = organization.createAgent({
orgId, name: "CEO", role: "CEO", department: "Executive",
modelProviderId: providerId, modelId: "gpt-5.4", budgetCents: 25000, managerAgentId: null,
});
});
const ctx: AgentToolContext = {
orgId, agent: { id: ceoId, modelProviderId: providerId, modelId: "gpt-5.4" },
taskProjectId: null, taskGoalId: null, workspace: null,
};
const script: ScriptedTurn[] = [
{ text: "staff", toolCalls: [call("hire_agent", { name: "Alex Rivera", role: "Engineer", department: "Engineering" })] },
{ text: "delegate", toolCalls: [call("create_task", { title: "Build the booking API", description: "Ship the booking API.", assignee_agent_name: "Alex Rivera" })] },
{ text: "done", toolCalls: [] },
];
await runAgentLoop(
{ providers: fakeProvider(script), tools: { db: connection.db, organization, chat: new ChatService(connection.db) } },
{ orgId, providerId, workspaceId: null, instructions: "i", initialUserTurn: "u", toolContext: ctx },
);
const alex = connection.db.prepare("select id from agents where org_id = ? and name = 'Alex Rivera'").get(orgId) as { id: string };
const assignment = connection.db.prepare(`
select m.body_md, m.thread_id, s.id as space_id, s.space_type
from chat_messages m
join chat_spaces s on s.id = m.space_id
where m.org_id = ?
`).get(orgId) as { body_md: string; thread_id: string; space_id: string; space_type: string } | undefined;
// Assignments are 1:1 hand-offs, so they live in the manager's direct
// conversation with the assignee instead of a shared channel.
expect(assignment).toMatchObject({ space_type: "direct" });
const dmMembers = connection.db.prepare("select principal_id from chat_memberships where space_id = ?")
.all(assignment?.space_id ?? "") as Array<{ principal_id: string }>;
expect(dmMembers.map((m) => m.principal_id).sort()).toEqual([ceoId, alex.id].sort());
expect(assignment?.body_md).toContain(`@${canonicalMentionHandle("Alex Rivera")}`);
expect(assignment?.body_md).toContain("Build the booking API");
const wake = connection.db.prepare(`
select state, trigger, secret_scope_json
from task_runs
where org_id = ? and agent_id = ? and trigger = 'chat_mention'
`).get(orgId, alex.id) as { state: string; trigger: string; secret_scope_json: string } | undefined;
expect(wake).toMatchObject({ state: "queued", trigger: "chat_mention" });
expect(JSON.parse(wake?.secret_scope_json ?? "{}")).toMatchObject({ sourceThreadId: assignment?.thread_id });
connection.close();
});
test("a first turn with no text and no tool calls fails the run instead of completing a no-op", async () => {
const connection = new DatabaseConnection(join(tmpdir(), `ac-loop3-${randomUUID()}.db`));
const organization = new OrganizationService(connection.db);
let orgId = "";
let ceoId = "";
let providerId = "";
connection.transaction(() => {
orgId = organization.createOrganization({ organizationName: "OrbitOps", employeeName: "Yang", mission: "m", goal: "g" });
providerId = (connection.db.prepare("select id from providers where org_id = ? and provider_key = 'openai'").get(orgId) as { id: string }).id;
ceoId = organization.createAgent({ orgId, name: "CEO", role: "CEO", department: "Executive", modelProviderId: providerId, modelId: "gpt-5.4", budgetCents: 25000, managerAgentId: null });
});
const ctx: AgentToolContext = {
orgId, agent: { id: ceoId, modelProviderId: providerId, modelId: "gpt-5.4" },
taskProjectId: null, taskGoalId: null, workspace: null,
};
await expect(runAgentLoop(
{ providers: fakeProvider([{ text: "", toolCalls: [] }]), tools: { db: connection.db, organization, chat: new ChatService(connection.db) } },
{ orgId, providerId, workspaceId: null, instructions: "i", initialUserTurn: "u", toolContext: ctx },
)).rejects.toThrow(/empty turn/);
connection.close();
});
});