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@deep-assistant/agent

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A minimal, public domain AI CLI agent compatible with OpenCode's JSON interface. Bun-only runtime.

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import { Ripgrep } from "../file/ripgrep" import { Global } from "../global" import { Filesystem } from "../util/filesystem" import { Config } from "../config/config" import { Instance } from "../project/instance" import path from "path" import os from "os" import PROMPT_ANTHROPIC from "./prompt/anthropic.txt" import PROMPT_ANTHROPIC_WITHOUT_TODO from "./prompt/qwen.txt" import PROMPT_POLARIS from "./prompt/polaris.txt" import PROMPT_BEAST from "./prompt/beast.txt" import PROMPT_GEMINI from "./prompt/gemini.txt" import PROMPT_ANTHROPIC_SPOOF from "./prompt/anthropic_spoof.txt" import PROMPT_SUMMARIZE from "./prompt/summarize.txt" import PROMPT_TITLE from "./prompt/title.txt" import PROMPT_CODEX from "./prompt/codex.txt" import PROMPT_GROK_CODE from "./prompt/grok-code.txt" export namespace SystemPrompt { export function header(providerID: string) { if (providerID.includes("anthropic")) return [PROMPT_ANTHROPIC_SPOOF.trim()] return [] } export function provider(modelID: string) { if (modelID.includes("gpt-5")) return [PROMPT_CODEX] if (modelID.includes("gpt-") || modelID.includes("o1") || modelID.includes("o3")) return [PROMPT_BEAST] if (modelID.includes("gemini-")) return [PROMPT_GEMINI] if (modelID.includes("claude")) return [PROMPT_ANTHROPIC] if (modelID.includes("polaris-alpha")) return [PROMPT_POLARIS] if (modelID.includes("grok-code")) return [PROMPT_GROK_CODE] return [PROMPT_ANTHROPIC_WITHOUT_TODO] } export async function environment() { const project = Instance.project return [ [ `Here is some useful information about the environment you are running in:`, `<env>`, ` Working directory: ${Instance.directory}`, ` Is directory a git repo: ${project.vcs === "git" ? "yes" : "no"}`, ` Platform: ${process.platform}`, ` Today's date: ${new Date().toDateString()}`, `</env>`, `<files>`, ` ${ project.vcs === "git" ? await Ripgrep.tree({ cwd: Instance.directory, limit: 200, }) : "" }`, `</files>`, ].join("\n"), ] } const LOCAL_RULE_FILES = [ "AGENTS.md", "CLAUDE.md", "CONTEXT.md", // deprecated ] const GLOBAL_RULE_FILES = [ path.join(Global.Path.config, "AGENTS.md"), path.join(os.homedir(), ".claude", "CLAUDE.md"), ] export async function custom() { const config = await Config.get() const paths = new Set<string>() for (const localRuleFile of LOCAL_RULE_FILES) { const matches = await Filesystem.findUp(localRuleFile, Instance.directory, Instance.worktree) if (matches.length > 0) { matches.forEach((path) => paths.add(path)) break } } for (const globalRuleFile of GLOBAL_RULE_FILES) { if (await Bun.file(globalRuleFile).exists()) { paths.add(globalRuleFile) break } } if (config.instructions) { for (let instruction of config.instructions) { if (instruction.startsWith("~/")) { instruction = path.join(os.homedir(), instruction.slice(2)) } let matches: string[] = [] if (path.isAbsolute(instruction)) { matches = await Array.fromAsync( new Bun.Glob(path.basename(instruction)).scan({ cwd: path.dirname(instruction), absolute: true, onlyFiles: true, }), ).catch(() => []) } else { matches = await Filesystem.globUp(instruction, Instance.directory, Instance.worktree).catch(() => []) } matches.forEach((path) => paths.add(path)) } } const found = Array.from(paths).map((p) => Bun.file(p) .text() .catch(() => "") .then((x) => "Instructions from: " + p + "\n" + x), ) return Promise.all(found).then((result) => result.filter(Boolean)) } export function summarize(providerID: string) { switch (providerID) { case "anthropic": return [PROMPT_ANTHROPIC_SPOOF.trim(), PROMPT_SUMMARIZE] default: return [PROMPT_SUMMARIZE] } } export function title(providerID: string) { switch (providerID) { case "anthropic": return [PROMPT_ANTHROPIC_SPOOF.trim(), PROMPT_TITLE] default: return [PROMPT_TITLE] } } }