mirror of
https://github.com/langbot-app/LangBot.git
synced 2026-06-20 12:34:21 +00:00
e9dd584792
* feat(api): support global API key from config.yaml (api.global_api_key) Accept a config-defined global API key anywhere a web-UI key is accepted (X-API-Key / Bearer), with no login session and no DB record. Useful for automated deployments and AI agents (HTTP API + MCP). Defaults to empty (disabled); does not require the lbk_ prefix. - templates/config.yaml: add api.global_api_key with security notes - service/apikey.py: verify_api_key checks global key first (constant-time) - docs/API_KEY_AUTH.md: document the global key + security guidance - tests: cover global-key match, prefix-free, fallback-to-db, disabled * feat(mcp): expose LangBot management as an MCP server at /mcp Add an MCP (Model Context Protocol) server so external AI agents can manage a LangBot instance. Reuses the same API-key auth as the HTTP API (including the config.yaml global API key). - pkg/api/mcp/server.py: FastMCP server wrapping the service layer; 21 curated tools across system/bots/pipelines/models/knowledge/mcp-servers/skills - pkg/api/mcp/mount.py: ASGI dispatcher fronting Quart; authenticates /mcp requests with an API key, runs the streamable-HTTP session manager lifespan - controller/main.py: serve the wrapped ASGI app via hypercorn (was run_task) - web: new 'MCP' tab in the API integration dialog showing endpoint, auth, and client config; i18n for 8 locales - tests/manual/mcp_smoke.py: e2e check (401 unauth, list tools, call tools) Tool surface is intentionally curated (not all ~25 route groups) to keep the agent surface small, safe, and maintainable. Extend deliberately. * feat(skills): add in-repo skills/ as the single source of truth Migrate the agent skills + QA/e2e test harness from the (now archived) langbot-app/langbot-skills repo into LangBot/skills/, and add four new skills. Migrated: - langbot-plugin-dev, langbot-testing (e2e), langbot-env-setup, langbot-skills-maintenance, langbot-eba-adapter-dev - the bin/lbs CLI (src/, test/, scripts/, schemas/, qa-agent-docs/) New: - langbot-dev core backend + web development - langbot-deploy Docker/K8s deployment + config.yaml + global API key - langbot-mcp-ops operating the LangBot MCP server (/mcp) - langbot-space-ops operating the Space marketplace MCP server - src/cli.ts repoRoot(): recognize the skills assets root (skills.index.json + bin/lbs) so the CLI works when nested inside the LangBot repo - README.md: unified skill catalog; skills.index.json regenerated Parity with source verified: bin/lbs validate + node test suite match the source repo (only the uncommitted .lbpkg build-artifact fixture differs). * docs(agents): document agent-facing surfaces + API/MCP/skills sync rule * docs(readme): add 'Built for AI Agents' section across all locales Highlight MCP server, in-repo skills (single source of truth), AGENTS.md sync rule, and llms.txt. Cross-link LangBot Space MCP marketplace. * style(mcp): fix ruff format + prettier lint in MCP server and API panel * style(web): prettier format MCP i18n locale entries * docs(skills): note MCP instance control in dev/testing skills All development-guidance skills now point to the LangBot instance MCP server (/mcp) and the Space marketplace MCP server, reusing API keys.
477 lines
18 KiB
JavaScript
477 lines
18 KiB
JavaScript
#!/usr/bin/env node
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import { existsSync, readFileSync } from "node:fs";
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import { writeFile } from "node:fs/promises";
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import { resolve } from "node:path";
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import { env } from "node:process";
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import {
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createBrowser,
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ensureEvidence,
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evidencePaths,
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exitCode,
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localIsoWithOffset,
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safeScreenshot,
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writeResult,
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} from "./lib/langbot-e2e.mjs";
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function loadEnvDefaults(path) {
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if (!existsSync(path)) return;
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for (const rawLine of readFileSync(path, "utf8").split(/\r?\n/)) {
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const line = rawLine.trim();
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if (!line || line.startsWith("#")) continue;
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const sep = line.indexOf("=");
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if (sep === -1) continue;
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const key = line.slice(0, sep).trim();
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if (env[key]) continue;
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env[key] = line.slice(sep + 1).trim().replace(/^["']|["']$/g, "");
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}
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}
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function boolFromEnv(value, defaultValue) {
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if (value === undefined || value === "") return defaultValue;
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if (/^(0|false|no|off)$/i.test(value)) return false;
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if (/^(1|true|yes|on)$/i.test(value)) return true;
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return defaultValue;
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}
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function firstEnv(...keys) {
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for (const key of keys) {
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if (env[key]) return env[key];
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}
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return "";
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}
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function redactMessage(text) {
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return String(text ?? "")
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.replace(/\bbearer\s+[A-Za-z0-9._~+/=-]{8,}/gi, "Bearer [redacted]")
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.replace(/\bsk-[A-Za-z0-9_-]{6,}\b/g, "[redacted]")
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.replace(/(api[_-]?key|authorization|credential|jwt|oauth|password|secret|token)\s*[:=]\s*["']?[^"',\s]+/gi, "$1=[redacted]");
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}
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function isEnvironmentError(message) {
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return /Playwright is not installed|LANGBOT_FRONTEND_URL|LANGBOT_BACKEND_URL|ERR_CONNECTION_REFUSED|ECONNREFUSED|net::ERR_|fetch failed|timed out/i
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.test(message);
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}
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loadEnvDefaults("skills/.env");
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loadEnvDefaults("skills/.env.local");
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const caseId = env.LBS_CASE_ID || "agent-runner-release-preflight";
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const paths = evidencePaths(caseId);
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await ensureEvidence(paths);
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const backendUrl = env.LANGBOT_BACKEND_URL || "";
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const frontendUrl = env.LANGBOT_FRONTEND_URL || backendUrl;
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const testModels = boolFromEnv(env.LANGBOT_PREFLIGHT_TEST_MODELS, true);
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const requireVision = boolFromEnv(env.LANGBOT_PREFLIGHT_REQUIRE_VISION, true);
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const diagnosticPath = resolve(paths.evidenceDir, "api-diagnostic.json");
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const startedAt = new Date();
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const targets = [
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{
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id: "local-agent",
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expected_runner_id: "plugin:langbot/local-agent/default",
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pipeline_url: firstEnv("LANGBOT_LOCAL_AGENT_PIPELINE_URL"),
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pipeline_name: firstEnv("LANGBOT_LOCAL_AGENT_PIPELINE_NAME"),
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require_func_call_model: true,
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require_vision_model: requireVision,
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require_langbot_mcp: false,
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},
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{
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id: "acp-agent-runner",
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expected_runner_id: "plugin:langbot/acp-agent-runner/default",
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pipeline_url: firstEnv("LANGBOT_ACP_AGENT_RUNNER_PIPELINE_URL", "LANGBOT_AGENT_RUNNER_PIPELINE_URL"),
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pipeline_name: firstEnv("LANGBOT_ACP_AGENT_RUNNER_PIPELINE_NAME", "LANGBOT_AGENT_RUNNER_PIPELINE_NAME"),
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require_func_call_model: false,
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require_vision_model: false,
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},
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];
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let browser;
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const result = {
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source: "automation",
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case_id: caseId,
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run_id: paths.runId,
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started_at: startedAt.toISOString(),
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started_at_local: localIsoWithOffset(startedAt),
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finished_at: "",
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finished_at_local: "",
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status: "fail",
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reason: "",
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frontend_url: frontendUrl,
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backend_url: backendUrl,
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test_models: testModels,
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require_vision_model: requireVision,
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evidence: {
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console_log: paths.consoleLog,
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network_log: paths.networkLog,
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screenshot: paths.screenshot,
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api_diagnostic_json: diagnosticPath,
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automation_result_json: paths.automationResultJson,
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result_json: paths.resultJson,
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},
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evidence_collected: ["ui", "screenshot", "console", "network", "api_diagnostic"],
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};
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async function run() {
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if (!backendUrl || !frontendUrl) {
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result.status = "env_issue";
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result.reason = "LANGBOT_FRONTEND_URL and LANGBOT_BACKEND_URL must be configured.";
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return;
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}
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browser = await createBrowser(paths);
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const { page } = browser;
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await page.goto(frontendUrl, { waitUntil: "domcontentloaded" });
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await page.waitForLoadState("networkidle", { timeout: 10_000 }).catch(() => {});
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const diagnostic = await page.evaluate(async ({ backendUrl, targets, testModels }) => {
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const blockers = [];
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const envIssues = [];
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const warnings = [];
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const checks = [];
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const addCheck = (name, status, detail = {}) => {
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checks.push({ name, status, ...detail });
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if (status === "blocked") blockers.push({ name, ...detail });
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if (status === "env_issue") envIssues.push({ name, ...detail });
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};
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const safeMessage = (value) => String(value ?? "")
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.replace(/\bbearer\s+[A-Za-z0-9._~+/=-]{8,}/gi, "Bearer [redacted]")
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.replace(/\bsk-[A-Za-z0-9_-]{6,}\b/g, "[redacted]")
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.replace(/(api[_-]?key|authorization|credential|jwt|oauth|password|secret|token)\s*[:=]\s*["']?[^"',\s]+/gi, "$1=[redacted]");
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const token = localStorage.getItem("token");
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if (!token) {
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addCheck("browser-auth", "blocked", { reason: "Browser profile has no localStorage token." });
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return { authenticated: false, blockers, env_issues: envIssues, warnings, checks };
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}
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const headers = {
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Authorization: `Bearer ${token}`,
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"Content-Type": "application/json",
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};
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const getJson = async (path) => {
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const response = await fetch(`${backendUrl}${path}`, { headers });
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return {
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status: response.status,
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json: await response.json().catch(() => ({})),
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};
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};
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const postJson = async (path, body) => {
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const response = await fetch(`${backendUrl}${path}`, {
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method: "POST",
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headers,
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body: JSON.stringify(body),
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});
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return {
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status: response.status,
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json: await response.json().catch(() => ({})),
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};
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};
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const tokenCheck = await getJson("/api/v1/user/check-token");
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addCheck(
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"browser-auth",
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tokenCheck.status < 400 && (tokenCheck.json.code ?? 0) === 0 ? "pass" : "blocked",
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{ http_status: tokenCheck.status, code: tokenCheck.json.code ?? null, reason: safeMessage(tokenCheck.json.msg || "") },
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);
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const systemInfo = await getJson("/api/v1/system/info");
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addCheck(
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"backend-system-info",
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systemInfo.status < 400 ? "pass" : "env_issue",
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{
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http_status: systemInfo.status,
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version: systemInfo.json.data?.version || systemInfo.json.data?.system?.version || "",
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},
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);
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const pluginSystem = await getJson("/api/v1/system/status/plugin-system");
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addCheck(
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"plugin-system",
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pluginSystem.status < 400 && (pluginSystem.json.code ?? 0) === 0 ? "pass" : "env_issue",
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{
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http_status: pluginSystem.status,
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code: pluginSystem.json.code ?? null,
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status: pluginSystem.json.data?.status || pluginSystem.json.data?.state || "",
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reason: safeMessage(pluginSystem.json.msg || ""),
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},
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);
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const boxStatus = await getJson("/api/v1/box/status");
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addCheck(
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"box-runtime",
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boxStatus.status < 400 && (boxStatus.json.code ?? 0) === 0 ? "pass" : "env_issue",
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{
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http_status: boxStatus.status,
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code: boxStatus.json.code ?? null,
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status: boxStatus.json.data?.status || "",
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backend: boxStatus.json.data?.backend || "",
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reason: safeMessage(boxStatus.json.msg || ""),
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},
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);
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const plugins = await getJson("/api/v1/plugins");
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const installedPluginIds = (plugins.json.data?.plugins || [])
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.map((plugin) => {
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const metadata = plugin.manifest?.manifest?.metadata || plugin.manifest?.metadata || plugin.metadata || {};
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return metadata.author && metadata.name ? `${metadata.author}/${metadata.name}` : "";
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})
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.filter(Boolean);
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const requiredPlugins = ["langbot/local-agent", "langbot/acp-agent-runner", "qa/plugin-smoke"];
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const pluginPresence = Object.fromEntries(requiredPlugins.map((id) => [id, installedPluginIds.includes(id)]));
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for (const [id, present] of Object.entries(pluginPresence)) {
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addCheck(`plugin:${id}`, present ? "pass" : "blocked", { plugin_id: id, reason: present ? "" : "Required plugin is not listed by /api/v1/plugins." });
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}
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const tools = await getJson("/api/v1/tools");
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const toolNames = (tools.json.data?.tools || [])
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.map((tool) => tool.name || tool.tool_name || tool.function?.name || "")
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.filter(Boolean)
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.sort();
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addCheck(
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"tool:qa_plugin_echo",
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toolNames.includes("qa_plugin_echo") ? "pass" : "blocked",
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{ reason: toolNames.includes("qa_plugin_echo") ? "" : "qa-plugin-smoke tool qa_plugin_echo is not exposed through /api/v1/tools." },
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);
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if (!toolNames.includes("qa_mcp_echo")) {
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warnings.push({
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name: "tool:qa_mcp_echo",
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reason: "qa_mcp_echo is not currently exposed. This is acceptable before mcp-stdio-register, but mcp-stdio-tool-call must run after registration.",
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});
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}
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const modelResponse = await getJson("/api/v1/provider/models/llm");
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const models = (modelResponse.json.data?.models || []).map((model) => ({
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uuid: model.uuid,
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name: model.name,
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abilities: Array.isArray(model.abilities) ? model.abilities : [],
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provider_uuid: model.provider_uuid || model.provider?.uuid || "",
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provider_name: model.provider_name || model.provider?.name || "",
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requester: model.requester || model.provider?.requester || "",
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}));
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addCheck(
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"llm-model-list",
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modelResponse.status < 400 && (modelResponse.json.code ?? 0) === 0 ? "pass" : "env_issue",
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{ http_status: modelResponse.status, model_count: models.length, reason: safeMessage(modelResponse.json.msg || "") },
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);
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const modelById = new Map(models.map((model) => [model.uuid, model]));
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const pipelineList = await getJson("/api/v1/pipelines");
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const pipelines = pipelineList.json.data?.pipelines || [];
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addCheck(
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"pipeline-list",
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pipelineList.status < 400 && (pipelineList.json.code ?? 0) === 0 ? "pass" : "blocked",
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{ http_status: pipelineList.status, pipeline_count: pipelines.length, reason: safeMessage(pipelineList.json.msg || "") },
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);
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const resolvedPipelines = [];
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const modelTested = new Set();
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for (const target of targets) {
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let pipelineId = "";
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let matchedBy = "";
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if (target.pipeline_url) {
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try {
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pipelineId = new URL(target.pipeline_url).searchParams.get("id") || "";
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matchedBy = pipelineId ? "url" : "";
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} catch {
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pipelineId = "";
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}
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}
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if (!pipelineId && target.pipeline_name) {
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const match = pipelines.find((pipeline) => pipeline.name === target.pipeline_name);
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if (match) {
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pipelineId = match.uuid;
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matchedBy = "name";
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}
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}
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if (!pipelineId) {
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addCheck(`pipeline:${target.id}`, "blocked", {
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target: target.id,
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reason: "Required pipeline env is missing or could not resolve to a pipeline id.",
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});
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continue;
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}
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const response = await getJson(`/api/v1/pipelines/${encodeURIComponent(pipelineId)}`);
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const pipeline = response.json.data?.pipeline;
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if (response.status >= 400 || !pipeline) {
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addCheck(`pipeline:${target.id}`, "blocked", {
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target: target.id,
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pipeline_id: pipelineId,
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http_status: response.status,
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reason: safeMessage(response.json.msg || "Could not load pipeline."),
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});
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continue;
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}
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const config = pipeline.config || {};
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const aiConfig = config.ai && typeof config.ai === "object" ? config.ai : {};
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const runner = aiConfig.runner && typeof aiConfig.runner === "object" ? aiConfig.runner : {};
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const runnerId = runner.id || runner.runner || "";
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const runnerConfigs = aiConfig.runner_config && typeof aiConfig.runner_config === "object" ? aiConfig.runner_config : {};
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const runnerConfig = runnerConfigs[runnerId] && typeof runnerConfigs[runnerId] === "object" ? runnerConfigs[runnerId] : {};
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const pipelineSummary = {
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target: target.id,
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pipeline_id: pipelineId,
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pipeline_name: pipeline.name,
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matched_by: matchedBy,
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runner_id: runnerId,
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expected_runner_id: target.expected_runner_id,
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runner_config_keys: Object.keys(runnerConfig).sort(),
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};
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resolvedPipelines.push(pipelineSummary);
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addCheck(
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`pipeline:${target.id}:runner`,
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runnerId === target.expected_runner_id ? "pass" : "blocked",
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{
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...pipelineSummary,
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reason: runnerId === target.expected_runner_id ? "" : `Expected ${target.expected_runner_id}, got ${runnerId || "<missing>"}.`,
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},
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);
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if (target.require_func_call_model || target.require_vision_model || (testModels && target.id === "local-agent")) {
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const modelConfig = runnerConfig.model;
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const primaryModelId = typeof modelConfig === "string"
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? modelConfig
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: modelConfig && typeof modelConfig === "object"
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? modelConfig.primary || ""
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: "";
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if (!primaryModelId) {
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addCheck(`pipeline:${target.id}:primary-model`, "blocked", {
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...pipelineSummary,
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reason: "Local-agent runner config has no primary model.",
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});
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continue;
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}
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const model = modelById.get(primaryModelId);
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if (!model) {
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addCheck(`pipeline:${target.id}:primary-model`, "blocked", {
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...pipelineSummary,
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model_uuid: primaryModelId,
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reason: "Primary model is not listed by /api/v1/provider/models/llm.",
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});
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continue;
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}
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addCheck(`pipeline:${target.id}:primary-model`, "pass", {
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...pipelineSummary,
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model: {
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uuid: model.uuid,
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name: model.name,
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abilities: model.abilities,
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provider_name: model.provider_name,
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requester: model.requester,
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},
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});
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if (target.require_func_call_model) {
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addCheck(
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`pipeline:${target.id}:func-call-model`,
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model.abilities.includes("func_call") ? "pass" : "env_issue",
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{
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model_uuid: model.uuid,
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model_name: model.name,
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abilities: model.abilities,
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reason: model.abilities.includes("func_call") ? "" : "Release gate includes tool-call cases; the local-agent primary model must advertise func_call.",
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},
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);
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}
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if (target.require_vision_model) {
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addCheck(
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`pipeline:${target.id}:vision-model`,
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model.abilities.includes("vision") ? "pass" : "env_issue",
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{
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model_uuid: model.uuid,
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model_name: model.name,
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abilities: model.abilities,
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reason: model.abilities.includes("vision") ? "" : "Release gate includes multimodal cases; the local-agent primary model must advertise vision.",
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},
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);
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}
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if (testModels && !modelTested.has(model.uuid)) {
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modelTested.add(model.uuid);
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const modelTest = await postJson(`/api/v1/provider/models/llm/${encodeURIComponent(model.uuid)}/test`, { extra_args: {} });
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const passed = modelTest.status < 400 && (modelTest.json.code ?? 0) === 0;
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addCheck(
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`model-test:${model.name}`,
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passed ? "pass" : "env_issue",
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{
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model_uuid: model.uuid,
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model_name: model.name,
|
|
http_status: modelTest.status,
|
|
code: modelTest.json.code ?? null,
|
|
reason: passed ? "" : safeMessage(modelTest.json.msg || modelTest.json.message || "Model test failed."),
|
|
},
|
|
);
|
|
}
|
|
}
|
|
}
|
|
|
|
return {
|
|
authenticated: true,
|
|
blockers,
|
|
env_issues: envIssues,
|
|
warnings,
|
|
checks,
|
|
resolved_pipelines: resolvedPipelines,
|
|
tools: {
|
|
required: ["qa_plugin_echo"],
|
|
optional_before_register: ["qa_mcp_echo"],
|
|
present: toolNames.filter((name) => ["qa_plugin_echo", "qa_mcp_echo"].includes(name)),
|
|
},
|
|
models,
|
|
};
|
|
}, { backendUrl, targets, testModels });
|
|
|
|
diagnostic.blockers = (diagnostic.blockers || []).map((item) => ({ ...item, reason: redactMessage(item.reason || "") }));
|
|
diagnostic.env_issues = (diagnostic.env_issues || []).map((item) => ({ ...item, reason: redactMessage(item.reason || "") }));
|
|
await writeFile(diagnosticPath, `${JSON.stringify(diagnostic, null, 2)}\n`, "utf8");
|
|
await safeScreenshot(page, paths.screenshot);
|
|
|
|
const blockers = diagnostic.blockers || [];
|
|
const envIssues = diagnostic.env_issues || [];
|
|
if (blockers.length > 0) {
|
|
result.status = "blocked";
|
|
result.reason = `Preflight blocked: ${blockers.map((item) => item.name).join(", ")}`;
|
|
} else if (envIssues.length > 0) {
|
|
result.status = "env_issue";
|
|
result.reason = `Preflight environment issue: ${envIssues.map((item) => item.name).join(", ")}`;
|
|
} else {
|
|
result.status = "pass";
|
|
result.reason = "Release gate preflight passed: auth, plugin runtime, required pipelines, runner ids, tools, and local-agent model checks are ready.";
|
|
}
|
|
result.check_count = Array.isArray(diagnostic.checks) ? diagnostic.checks.length : 0;
|
|
result.warning_count = Array.isArray(diagnostic.warnings) ? diagnostic.warnings.length : 0;
|
|
}
|
|
|
|
try {
|
|
await run();
|
|
} catch (error) {
|
|
const message = redactMessage(error instanceof Error ? error.message : String(error));
|
|
result.status = isEnvironmentError(message) ? "env_issue" : "fail";
|
|
result.reason = message;
|
|
await writeFile(diagnosticPath, `${JSON.stringify({
|
|
authenticated: false,
|
|
blockers: [],
|
|
env_issues: result.status === "env_issue" ? [{ name: "preflight-runtime", reason: message }] : [],
|
|
warnings: [],
|
|
checks: [
|
|
{
|
|
name: "preflight-runtime",
|
|
status: result.status,
|
|
reason: message,
|
|
},
|
|
],
|
|
}, null, 2)}\n`, "utf8").catch(() => {});
|
|
} finally {
|
|
if (browser) await browser.close().catch(() => {});
|
|
const finishedAt = new Date();
|
|
result.finished_at = finishedAt.toISOString();
|
|
result.finished_at_local = localIsoWithOffset(finishedAt);
|
|
await writeResult(paths, result);
|
|
console.log(JSON.stringify(result, null, 2));
|
|
}
|
|
|
|
process.exit(exitCode(result.status));
|