Files
admin 875c7f9b91 feat: Complete zCode CLI X with Telegram bot integration
- Add full Telegram bot functionality with Z.AI API integration
- Implement 4 tools: Bash, FileEdit, WebSearch, Git
- Add 3 agents: Code Reviewer, Architect, DevOps Engineer
- Add 6 skills for common coding tasks
- Add systemd service file for 24/7 operation
- Add nginx configuration for HTTPS webhook
- Add comprehensive documentation
- Implement WebSocket server for real-time updates
- Add logging system with Winston
- Add environment validation

🤖 zCode CLI X - Agentic coder with Z.AI + Telegram integration
2026-05-05 09:01:26 +00:00

152 lines
8.2 KiB
JavaScript

"use strict";
var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) {
if (k2 === undefined) k2 = k;
var desc = Object.getOwnPropertyDescriptor(m, k);
if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) {
desc = { enumerable: true, get: function() { return m[k]; } };
}
Object.defineProperty(o, k2, desc);
}) : (function(o, m, k, k2) {
if (k2 === undefined) k2 = k;
o[k2] = m[k];
}));
var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) {
Object.defineProperty(o, "default", { enumerable: true, value: v });
}) : function(o, v) {
o["default"] = v;
});
var __importStar = (this && this.__importStar) || (function () {
var ownKeys = function(o) {
ownKeys = Object.getOwnPropertyNames || function (o) {
var ar = [];
for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k;
return ar;
};
return ownKeys(o);
};
return function (mod) {
if (mod && mod.__esModule) return mod;
var result = {};
if (mod != null) for (var k = ownKeys(mod), i = 0; i < k.length; i++) if (k[i] !== "default") __createBinding(result, mod, k[i]);
__setModuleDefault(result, mod);
return result;
};
})();
Object.defineProperty(exports, "__esModule", { value: true });
exports.AnthropicVertex = exports.BaseAnthropic = void 0;
const client_1 = require("@anthropic-ai/sdk/client");
const Resources = __importStar(require("@anthropic-ai/sdk/resources/index"));
const google_auth_library_1 = require("google-auth-library");
const env_1 = require("./internal/utils/env.js");
const values_1 = require("./internal/utils/values.js");
const headers_1 = require("./internal/headers.js");
var client_2 = require("@anthropic-ai/sdk/client");
Object.defineProperty(exports, "BaseAnthropic", { enumerable: true, get: function () { return client_2.BaseAnthropic; } });
const DEFAULT_VERSION = 'vertex-2023-10-16';
const MODEL_ENDPOINTS = new Set(['/v1/messages', '/v1/messages?beta=true']);
class AnthropicVertex extends client_1.BaseAnthropic {
/**
* API Client for interfacing with the Anthropic Vertex API.
*
* @param {string | null} opts.accessToken
* @param {string | null} opts.projectId
* @param {GoogleAuth} opts.googleAuth - Override the default google auth config
* @param {AuthClient} opts.authClient - Provide a pre-configured AuthClient instance (alternative to googleAuth)
* @param {string | null} [opts.region=process.env['CLOUD_ML_REGION']] - The region to use for the API. Use 'global' for global endpoint. [More details here](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/locations).
* @param {string} [opts.baseURL=process.env['ANTHROPIC_VERTEX__BASE_URL'] ?? https://${region}-aiplatform.googleapis.com/v1] - Override the default base URL for the API.
* @param {number} [opts.timeout=10 minutes] - The maximum amount of time (in milliseconds) the client will wait for a response before timing out.
* @param {MergedRequestInit} [opts.fetchOptions] - Additional `RequestInit` options to be passed to `fetch` calls.
* @param {Fetch} [opts.fetch] - Specify a custom `fetch` function implementation.
* @param {number} [opts.maxRetries=2] - The maximum number of times the client will retry a request.
* @param {HeadersLike} opts.defaultHeaders - Default headers to include with every request to the API.
* @param {Record<string, string | undefined>} opts.defaultQuery - Default query parameters to include with every request to the API.
* @param {boolean} [opts.dangerouslyAllowBrowser=false] - By default, client-side use of this library is not allowed, as it risks exposing your secret API credentials to attackers.
*/
constructor({ baseURL = (0, env_1.readEnv)('ANTHROPIC_VERTEX_BASE_URL'), region = (0, env_1.readEnv)('CLOUD_ML_REGION') ?? null, projectId = (0, env_1.readEnv)('ANTHROPIC_VERTEX_PROJECT_ID') ?? null, ...opts } = {}) {
if (!region) {
throw new Error('No region was given. The client should be instantiated with the `region` option or the `CLOUD_ML_REGION` environment variable should be set.');
}
super({
baseURL: baseURL ||
(region === 'global' ?
'https://aiplatform.googleapis.com/v1'
: `https://${region}-aiplatform.googleapis.com/v1`),
...opts,
});
this.messages = makeMessagesResource(this);
this.beta = makeBetaResource(this);
this.region = region;
this.projectId = projectId;
this.accessToken = opts.accessToken ?? null;
if (opts.authClient && opts.googleAuth) {
throw new Error('You cannot provide both `authClient` and `googleAuth`. Please provide only one of them.');
}
else if (opts.authClient) {
this._authClientPromise = Promise.resolve(opts.authClient);
}
else {
this._auth =
opts.googleAuth ?? new google_auth_library_1.GoogleAuth({ scopes: 'https://www.googleapis.com/auth/cloud-platform' });
this._authClientPromise = this._auth.getClient();
}
}
validateHeaders() {
// auth validation is handled in prepareOptions since it needs to be async
}
async prepareOptions(options) {
const authClient = await this._authClientPromise;
const authHeaders = await authClient.getRequestHeaders();
const projectId = authClient.projectId ?? authHeaders['x-goog-user-project'];
if (!this.projectId && projectId) {
this.projectId = projectId;
}
options.headers = (0, headers_1.buildHeaders)([authHeaders, options.headers]);
}
async buildRequest(options) {
if ((0, values_1.isObj)(options.body)) {
// create a shallow copy of the request body so that code that mutates it later
// doesn't mutate the original user-provided object
options.body = { ...options.body };
}
if ((0, values_1.isObj)(options.body)) {
if (!options.body['anthropic_version']) {
options.body['anthropic_version'] = DEFAULT_VERSION;
}
}
if (MODEL_ENDPOINTS.has(options.path) && options.method === 'post') {
if (!this.projectId) {
throw new Error('No projectId was given and it could not be resolved from credentials. The client should be instantiated with the `projectId` option or the `ANTHROPIC_VERTEX_PROJECT_ID` environment variable should be set.');
}
if (!(0, values_1.isObj)(options.body)) {
throw new Error('Expected request body to be an object for post /v1/messages');
}
const model = options.body['model'];
options.body['model'] = undefined;
const stream = options.body['stream'] ?? false;
const specifier = stream ? 'streamRawPredict' : 'rawPredict';
options.path = `/projects/${this.projectId}/locations/${this.region}/publishers/anthropic/models/${model}:${specifier}`;
}
if (options.path === '/v1/messages/count_tokens' ||
(options.path == '/v1/messages/count_tokens?beta=true' && options.method === 'post')) {
if (!this.projectId) {
throw new Error('No projectId was given and it could not be resolved from credentials. The client should be instantiated with the `projectId` option or the `ANTHROPIC_VERTEX_PROJECT_ID` environment variable should be set.');
}
options.path = `/projects/${this.projectId}/locations/${this.region}/publishers/anthropic/models/count-tokens:rawPredict`;
}
return super.buildRequest(options);
}
}
exports.AnthropicVertex = AnthropicVertex;
function makeMessagesResource(client) {
const resource = new Resources.Messages(client);
// @ts-expect-error we're deleting non-optional properties
delete resource.batches;
return resource;
}
function makeBetaResource(client) {
const resource = new Resources.Beta(client);
// @ts-expect-error we're deleting non-optional properties
delete resource.messages.batches;
return resource;
}
//# sourceMappingURL=client.js.map