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.
85 lines
2.7 KiB
JavaScript
85 lines
2.7 KiB
JavaScript
#!/usr/bin/env node
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import { env } from "node:process";
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import {
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bodyText,
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createBrowser,
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ensureEvidence,
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evidencePaths,
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loadEnvFiles,
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resetAndAuthLocalUser,
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safeScreenshot,
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setBrowserToken,
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verifyBrowserToken,
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writeResult,
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} from "./lib/langbot-e2e.mjs";
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const caseId = "refresh-local-login";
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const paths = evidencePaths(caseId);
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await loadEnvFiles();
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await ensureEvidence(paths);
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const result = {
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source: "automation",
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case_id: caseId,
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status: "fail",
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reason: "",
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user: env.LANGBOT_E2E_LOGIN_USER || "",
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frontend_url: env.LANGBOT_FRONTEND_URL || "",
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backend_url: env.LANGBOT_BACKEND_URL || "",
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backend_token_check: null,
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browser_token_check: null,
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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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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", "api_diagnostic"],
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};
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let browser;
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try {
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const backendUrl = env.LANGBOT_BACKEND_URL;
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const frontendUrl = env.LANGBOT_FRONTEND_URL;
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const user = env.LANGBOT_E2E_LOGIN_USER;
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const password = env.LANGBOT_E2E_LOGIN_PASSWORD || "LangBotE2ELocalPass!2026";
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if (!backendUrl) throw new Error("LANGBOT_BACKEND_URL is not configured.");
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if (!frontendUrl) throw new Error("LANGBOT_FRONTEND_URL is not configured.");
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if (!user) throw new Error("LANGBOT_E2E_LOGIN_USER is required.");
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const auth = await resetAndAuthLocalUser({ backendUrl, user, password });
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result.backend_token_check = auth.check;
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browser = await createBrowser(paths);
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const { page } = browser;
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await setBrowserToken(page, frontendUrl, auth.token);
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const browserCheck = await verifyBrowserToken(page, backendUrl);
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result.browser_token_check = browserCheck;
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if (!browserCheck.authenticated) {
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throw new Error(browserCheck.reason || "Browser token check failed.");
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}
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await page.goto(`${frontendUrl.replace(/\/$/, "")}/home/monitoring`, { waitUntil: "domcontentloaded" });
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await page.waitForLoadState("networkidle", { timeout: 10_000 }).catch(() => {});
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const text = await bodyText(page);
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if (!text.includes("Dashboard") && !text.includes("Pipelines") && !text.includes("流水线")) {
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throw new Error("Token was written, but authenticated navigation was not visible.");
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}
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result.status = "pass";
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result.reason = "Browser profile localStorage token refreshed.";
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} catch (error) {
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result.status = "fail";
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result.reason = error.message;
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} finally {
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if (browser?.page) await safeScreenshot(browser.page, paths.screenshot);
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if (browser) await browser.close().catch(() => {});
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await writeResult(paths, result);
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console.log(JSON.stringify(result, null, 2));
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}
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process.exit(result.status === "pass" ? 0 : 1);
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