Gen

The Gen class is a high-level layer to simplify AI integration and content generation with one line call. It abstracts the prompt, the provider call and the output parsing, so a complete task is a single function: build a component, write the SQL, review the code, produce the SEO tags.

Every function takes the same arguments and works with every chat provider:

const { Gen } = require('intellinode');

const result = await Gen.<function>(input, apiKey, provider, options);

• input: the description, code or data the function works on.
• apiKey: the provider key (null for a local Ollama or LM Studio).
• provider: openai (default), anthropic, gemini, mistral, cohere, nvidia, vllm, or an OpenAI-compatible service: openrouter, groq, deepseek, xai, together, ollama, lmstudio, openai_compatible.
• options: the function's own options plus the common ones below.

Common options:

Option	Purpose
model	Model name at the provider (defaults to the intellinode default of the provider).
maxTokens, temperature	Tune the generation.
system	Override the system message.
baseUrl, headers	For openai_compatible and the presets.
timeout, retries, retryDelay, signal	The retries & timeouts.
customProxyHelper	Azure OpenAI or a proxy.

Code functions return the code as a string (no markdown fences); structured functions return parsed objects. The output parser removes the reasoning of models that return it inline and repairs common JSON slips.

Categories

Page	What you get
Ask Any Model	Text or ready-to-use JSON from any provider: generate_text, generate_json, instructUpdate
Build Web UI	Components, forms, CSS, icons, design tokens and full pages: generate_component, generate_form, generate_page_section, generate_css, improve_accessibility, generate_email_template, generate_svg_icon, generate_color_palette, generate_design_tokens, generate_html_page, save_html_page, generate_dashboard
Build APIs & SQL	Endpoints, SQL, schemas, mock data, regex and OpenAPI specs: generate_api_endpoint, generate_sql, generate_json_schema, generate_mock_data, generate_regex, generate_openapi_spec
Review & Fix Code	Code reviews, bug fixes, unit tests, commits and release notes: generate_unit_tests, review_code, fix_code, explain_code, convert_code, generate_commit_message, generate_readme, generate_release_notes
Write Marketing Copy	Landing copy, SEO tags, FAQs, translations, images and speech: get_marketing_desc, get_blog_post, generate_landing_copy, generate_faq, generate_seo_meta, translate_ui_strings, generate_image_from_desc, generate_speech_synthesis

Example

const { Gen } = require('intellinode');

// UI code with OpenAI (gpt-5.5 is default)
const code = await Gen.generate_component('a pricing card with a plan name, price and a CTA button', openaiKey, 'openai',
  { framework: 'react', language: 'typescript', styling: 'tailwind' });

// the same function with Claude
const form = await Gen.generate_form('a contact form with name, email and message', anthropicKey, 'anthropic');

// structured results
const review = await Gen.review_code(code, openaiKey);           // { summary, score, issues }
const regex = await Gen.generate_regex('a US phone number', openaiKey);   // { pattern, flags, regex, matches, nonMatches, verified }

// a local model, no key
const sql = await Gen.generate_sql('top 10 customers by order total', null, 'ollama', { model: 'qwen3' });

The same functions are exposed as MCP tools by npx intellinode mcp, so a coding assistant can call them on any provider. See the MCP server page.