Files
LangBot/skills/src/fixtures.ts
T
Junyan Chin e9dd584792 feat: MCP server + in-repo skills (agent-friendly platform) (#2269)
* 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.
2026-06-20 15:14:47 +08:00

87 lines
2.6 KiB
TypeScript

import { existsSync, readFileSync } from "node:fs";
import { join } from "node:path";
import { loadSkills } from "./fs.ts";
export type FixtureItem = {
skill: string;
manifest_path: string;
id: string;
title: string;
path: string;
kind: string;
related_cases: string[];
checks: string[];
absolute_path: string;
exists: boolean;
};
export type FixtureLoadResult = {
items: FixtureItem[];
errors: string[];
};
function stringField(data: Record<string, unknown>, key: string): string {
const value = data[key];
return typeof value === "string" ? value : "";
}
function stringList(data: Record<string, unknown>, key: string): string[] {
const value = data[key];
return Array.isArray(value) ? value.filter((item): item is string => typeof item === "string") : [];
}
export function loadFixtureItems(root: string, skillFilter?: string): FixtureLoadResult {
const items: FixtureItem[] = [];
const errors: string[] = [];
const skills = loadSkills(root).filter((skill) => !skillFilter || skill.directory === skillFilter || skill.name === skillFilter);
for (const skill of skills) {
const manifestPath = join(skill.path, "fixtures", "fixtures.json");
if (!existsSync(manifestPath)) continue;
let parsed: unknown;
try {
parsed = JSON.parse(readFileSync(manifestPath, "utf8"));
} catch (error) {
errors.push(`${manifestPath}: invalid fixture manifest JSON (${String(error)})`);
continue;
}
if (!Array.isArray(parsed)) {
errors.push(`${manifestPath}: fixture manifest must be a JSON array`);
continue;
}
for (const [index, entry] of parsed.entries()) {
if (!entry || typeof entry !== "object" || Array.isArray(entry)) {
errors.push(`${manifestPath}: fixture entry ${index} must be an object`);
continue;
}
const data = entry as Record<string, unknown>;
const id = stringField(data, "id");
const title = stringField(data, "title");
const path = stringField(data, "path");
const kind = stringField(data, "kind") || "file";
if (!id || !title || !path) {
errors.push(`${manifestPath}: fixture entry ${index} must include id, title, and path`);
continue;
}
const absolutePath = join(skill.path, path);
items.push({
skill: skill.directory,
manifest_path: manifestPath,
id,
title,
path,
kind,
related_cases: stringList(data, "related_cases"),
checks: stringList(data, "checks"),
absolute_path: absolutePath,
exists: existsSync(absolutePath),
});
}
}
return { items, errors };
}