Files
cobble/src/harness/tools/computer/open-computer-tools.ts
T
tbenandClaude Opus 5.5 f24c0d7e82 Run computers with resources and health checks, add settings for bots, workspaces, computers and users
- Computers get CPUs and memory (default 1 CPU, 2 GB), set at creation and
  editable; new resources stop, remove and recreate the container, its home
  dir kept. Every computer container has a docker health check and stays
  "creating" until it passes; only healthy computers are reached, by
  hostname, else by their IP on the network (dev outside docker).
- Docker is required: the app creates the cobble network on startup and
  exits without docker.
- Production container: deploy/run-app-container.sh mounts .env, the data
  dir and the docker socket; the database (DB_DIR), media, computers' homes
  and bun-sqlite's live schema now live on the data volume.
- Settings pages for bots, workspaces, computers and users, sharing list
  components; bots can be deleted; users are created with a password and
  confirmation, edited and deleted through RBAC-gated APIs.
- User types trimmed to super_admin, admin, member, read_only and revoked;
  admins manage members. UserAvatar shows profile photos from the user row.

Co-Authored-By: Claude Opus 5.5 <[email protected]>
2026-10-19 10:26:44 +01:00

100 lines
3.5 KiB
TypeScript

import { ComputerMcpExcludedTools } from "@/src/dict/computer-dict";
import grabComputerMcpUrl from "@/src/functions/backend/db/computers/grab-computer-mcp-url";
import grabComputerEnvs from "@/src/functions/backend/db/envs/grab-computer-envs";
import computerNotReadyMessage from "@/src/utils/computer-not-ready-message";
import redactSecrets from "@/src/utils/redact-secrets";
import connectMcpServer from "../../mcp/connect-mcp-server";
import grabMcpTools from "../../mcp/grab-mcp-tools";
import readImage from "../../media/read-image";
import type { HarnessTool } from "../../types";
import withComputerEnv from "./with-computer-env";
import writeComputerEnv from "./write-computer-env";
type Params = {
computer_id: number | string;
/**
* Screenshots are read with this bot's media reading model.
*/
bot_id?: number | string;
/**
* The workspace the run is in: its envs apply, and its models read
* screenshots.
*/
workspace_id?: number | string | null;
signal?: AbortSignal;
};
export type OpenComputer = {
name: string;
tools: HarnessTool[];
/**
* The envs set on the computer, for the prompt: keys and descriptions,
* never values.
*/
envs: { key: string; description: string }[];
/**
* Blanks the computer's secret values out of text, e.g. the report.
*/
redact: (text: string) => string;
close: () => Promise<void>;
};
/**
* Connects to a computer (its AIO sandbox, over MCP) and returns its tools:
* shell, files, code and browser. Its envs (`grabComputerEnvs`) are written
* to the computer and loaded by the shell and code tools; secret values are
* redacted from everything the tools return. Screenshots come back as
* readings from the media reading harness. Call `close` when the run ends.
* Throws when the computer can't be reached, which the queue retries.
*/
export default async function openComputerTools({
computer_id,
bot_id,
workspace_id,
signal,
}: Params): Promise<OpenComputer> {
const target = await grabComputerMcpUrl({ computer_id });
if (!target) {
throw new Error(`Computer #${computer_id} has no container to connect to.`);
}
if (!target.ready) {
throw new Error(computerNotReadyMessage(target));
}
const envs = await grabComputerEnvs({ computer_id, workspace_id });
const paths = await writeComputerEnv({ base_url: target.base_url, envs, signal });
const secrets = envs.filter((env) => env.secret);
const redact = (text: string) => redactSecrets({ text, secrets });
const client = await connectMcpServer({ url: target.url, signal });
try {
const tools = await grabMcpTools({
client,
exclude: ComputerMcpExcludedTools,
redact,
describeImage: ({ data, mime_type }) =>
readImage({
url: `data:${mime_type};base64,${data}`,
focus: "This is a screenshot of a computer screen. Describe the page layout, text, buttons and form fields, and any errors or popups.",
signal,
bot_id,
workspace_id,
}),
});
return {
name: target.name,
tools: tools.map((tool) => withComputerEnv({ tool, ...paths })),
envs: envs.map((env) => ({ key: env.key, description: env.description })),
redact,
close: () => client.close().catch(() => {}),
};
} catch (error) {
await client.close().catch(() => {});
throw error;
}
}