Chess Analyzer Pro includes LLM-powered features for post-game summaries and coaching insights. These require a configured LLM provider.
The application supports multiple LLM providers through a profile system. All are OpenAI-compatible (/v1/chat/completions endpoint).
| Provider | Type | Requires Key | Default Model |
|---|---|---|---|
| Groq | Cloud | Yes | llama-3.3-70b-versatile |
| OpenAI | Cloud | Yes | gpt-4o-mini |
| LM Studio | Local (your machine) | No | local-model |
| MiniMax | Cloud | Yes | MiniMax-M3 |
| Custom | Any OpenAI-compatible endpoint | Varies | Configurable |
API Configuration -LLM provider settings
llama-3.3-70b-versatile works well for chess analysis.After analysis completes, click the AI Summary button (robot icon) to generate a post-game narrative.
The LLM receives the PGN text, analysis summary, and time statistics. It returns:
AI Summary -generated game comment and narrative
The summary is localized based on your system locale -supported languages include English, German, French, Spanish, and others.
On the Stats dashboard, the AI Coach card generates personalized coaching tips based on your aggregate statistics across all analyzed games.
AI Coach -coaching insights on the Stats page
config.json