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Package module-ai-llm
Short Description Multi-provider LLM client for Magento 2: OpenAI, Anthropic, Gemini, Grok, DeepSeek, Gonka and any OpenAI-compatible API, with priority failover and cost tracking
License MIT
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Informations about the package module-ai-llm
Magento 2 Multi-Provider LLM Integration — OpenAI, Claude, Gemini, Grok, DeepSeek, Gonka & Automatic Failover
The module connects your store to several large language model (LLM)
providers at once — OpenAI, Anthropic Claude, Google Gemini, xAI Grok,
DeepSeek, Gonka, and any OpenAI-compatible API — through a single
interface, with automatic failover to a backup provider and cost tracking
for every call. Yu_AiLlm doesn't do anything visible on the storefront
by itself — it's the infrastructure layer other AI modules are built on:
Yu_AiChat (the customer-facing chat assistant) and
Yu_AiCatalogSearch (AI-powered catalog search).
Why it exists
Any module that needs an LLM would otherwise have to, on its own:
- deal with each vendor's HTTP format separately — OpenAI has one message format, Anthropic another, Gemini a third, each with its own tool-calling format;
- write its own failover logic for when the primary provider is unavailable;
- store and encrypt API keys;
- calculate the cost of every request by hand.
Yu_AiLlm takes care of all of this and gives other modules one simple
interface: send a request, get a response — without knowing or caring
which specific provider answered.
Features
- Multi-provider. Seven providers out of the box: OpenAI, Anthropic Claude, Google Gemini, xAI Grok, DeepSeek, Gonka, plus a universal adapter for any OpenAI-compatible API (e.g. a self-hosted Ollama server). Each provider is enabled and configured independently.
- Automatic failover. Providers are tried in the priority order set in the admin panel; if a provider is unavailable (rate limit, invalid key, network failure, timeout), the request automatically falls through to the next one in the list. A provider that just failed is temporarily excluded from the chain, so time isn't wasted on a vendor already known to be down.
- Cost tracking. Every LLM call is priced in dollars, based on the
token count and the price per 1M tokens set in the admin panel for
that provider.
Yu_AiChat's analytics consume this data. If no price is set for a provider, the module simply omits the cost instead of erroring out. - Unified temperature scale. Response creativity is set on a common 0–1 scale regardless of each vendor's native range — no need to remember that one provider uses 0–1 and another uses 0–2.
- Secure key storage. All API keys are stored encrypted using Magento's own configuration encryption mechanism.
- Request/response logging (optional). When enabled, every call is recorded with the raw prompt, the raw reply, the caller module, the client IP address, token counts, duration, and status — viewable in a dedicated admin grid. Off by default, since the debugging tool keeps full payloads and isn't meant to run continuously.
Requirements
- PHP >= 8.1
- Magento 2.4.x
guzzlehttp/guzzle(installed automatically as a dependency)
Installation
The module doesn't do anything on the storefront by itself — it only
provides the LLM layer for other modules (Yu_AiChat,
Yu_AiCatalogSearch), which are installed separately and list it as a
dependency.
Configuration
Stores → Configuration → AI → LLM AI
- Shared Settings — the default temperature and token limit, used when a consuming module doesn't set its own.
- A separate settings group per provider (OpenAI, Anthropic Claude,
Google Gemini, xAI Grok, DeepSeek, Gonka, Custom):
- Enabled — turn this specific provider on.
- Priority — the lower the number, the earlier this provider is tried in the failover chain.
- API Key — stored encrypted.
- Model — the specific model for this vendor (e.g.
gpt-5-mini,claude-haiku-4-5). - Price: Input / Output (USD per 1M tokens) — used for the cost estimate; optional.
You can enable just one provider, or several at once — in which case automatic failover kicks in between them by priority.
Author
Yuriy Akishin:
- 📧 Email: [email protected]
- 💼 LinkedIn: https://www.linkedin.com/in/yuriyakishin/
- 💻 GitHub: https://github.com/yuriyakishin
License
MIT
