- Rail: Add icon with stacked form modals (bot, workspace, computer), coordinator, recent bots with "See all bots", Workspaces section, and a workspace mode listing only its crew - Workspaces: page for context, bots (per-workspace instructions and memory), computers (default, link, unlink), models and delete; conversations scoped per bot per workspace - Sessions: conversations split into searchable, reopenable sessions with carry-over summaries; sessions and new-session header icons - Computers: created and provisioned over the docker socket, home dir kept at DATA_DIR/computers/<id> after delete; super admins only - Models: workspace settings win over a bot's own, then the defaults - Pictures for bots and workspaces; bots editable from the header - Coordinator tools: update_workspace, set_bot_workspace_instructions Co-Authored-By: Claude Opus 5.5 <[email protected]>
95 lines
3.4 KiB
TypeScript
95 lines
3.4 KiB
TypeScript
import { ComputerMcpExcludedTools } from "@/src/dict/computer-dict";
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import grabComputerMcpUrl from "@/src/functions/backend/db/computers/grab-computer-mcp-url";
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import grabComputerEnvs from "@/src/functions/backend/db/envs/grab-computer-envs";
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import redactSecrets from "@/src/utils/redact-secrets";
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import connectMcpServer from "../../mcp/connect-mcp-server";
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import grabMcpTools from "../../mcp/grab-mcp-tools";
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import readImage from "../../media/read-image";
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import type { HarnessTool } from "../../types";
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import withComputerEnv from "./with-computer-env";
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import writeComputerEnv from "./write-computer-env";
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type Params = {
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computer_id: number | string;
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/**
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* Screenshots are read with this bot's media reading model.
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*/
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bot_id?: number | string;
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/**
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* The workspace the run is in: its envs apply, and its models read
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* screenshots.
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*/
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workspace_id?: number | string | null;
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signal?: AbortSignal;
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};
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export type OpenComputer = {
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name: string;
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tools: HarnessTool[];
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/**
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* The envs set on the computer, for the prompt: keys and descriptions,
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* never values.
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*/
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envs: { key: string; description: string }[];
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/**
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* Blanks the computer's secret values out of text, e.g. the report.
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*/
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redact: (text: string) => string;
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close: () => Promise<void>;
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};
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/**
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* Connects to a computer (its AIO sandbox, over MCP) and returns its tools:
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* shell, files, code and browser. Its envs (`grabComputerEnvs`) are written
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* to the computer and loaded by the shell and code tools; secret values are
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* redacted from everything the tools return. Screenshots come back as
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* readings from the media reading harness. Call `close` when the run ends.
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* Throws when the computer can't be reached, which the queue retries.
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*/
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export default async function openComputerTools({
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computer_id,
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bot_id,
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workspace_id,
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signal,
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}: Params): Promise<OpenComputer> {
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const target = await grabComputerMcpUrl({ computer_id });
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if (!target) {
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throw new Error(`Computer #${computer_id} has no container to connect to.`);
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}
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const envs = await grabComputerEnvs({ computer_id, workspace_id });
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const paths = await writeComputerEnv({ base_url: target.base_url, envs, signal });
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const secrets = envs.filter((env) => env.secret);
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const redact = (text: string) => redactSecrets({ text, secrets });
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const client = await connectMcpServer({ url: target.url, signal });
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try {
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const tools = await grabMcpTools({
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client,
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exclude: ComputerMcpExcludedTools,
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redact,
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describeImage: ({ data, mime_type }) =>
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readImage({
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url: `data:${mime_type};base64,${data}`,
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focus: "This is a screenshot of a computer screen. Describe the page layout, text, buttons and form fields, and any errors or popups.",
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signal,
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bot_id,
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workspace_id,
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}),
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});
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return {
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name: target.name,
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tools: tools.map((tool) => withComputerEnv({ tool, ...paths })),
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envs: envs.map((env) => ({ key: env.key, description: env.description })),
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redact,
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close: () => client.close().catch(() => {}),
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};
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} catch (error) {
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await client.close().catch(() => {});
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throw error;
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}
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}
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