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ProBot is bring-your-own-key (BYO key): you connect your own LLM provider account, and ProBot uses it to power your bot’s replies. We never resell tokens or mark up usage - you pay your provider directly (often pennies per conversation, or nothing on free tiers).

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Supported providers

For the cheapest good results, a “mini”/“flash” tier model (GPT-4o-mini, Claude Haiku, Gemini Flash) is plenty for resume Q&A.
Want it truly $0? Google Gemini’s free tier is the zero-cost path - grab a key at aistudio.google.com. Grok, by contrast, uses xAI’s paid API - it’s free to operate (you bring your own key) but xAI bills you for usage.

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Setup

  1. Create an API key in your provider’s console (links above).
  2. In ProBot, open AI model & key (sidebar → Manage model & key, or Settings → AI model & key).
  3. Pick the provider + model and paste your key.
  4. The key is envelope-encrypted at rest (AES-256-GCM DEK wrapped by a KEK held outside the database), decrypted in memory for one chat request, then discarded. It is never logged in plaintext.

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Azure specifics

Azure also needs your endpoint and (optionally) an API version; these ride in their own headers alongside the key. Use your deployed model’s deployment name as the model.

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Grok specifics

Grok works like OpenAI - paste your xAI key and type the model id (e.g. grok-4.3). xAI’s model catalog changes often, so the model is a free-text field rather than a dropdown.

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Where your key lives

Keys are stored server-side with envelope encryption: each key is wrapped with a per-bot data-encryption key (DEK), which is itself wrapped by a key-encryption key (KEK) held outside the database. A database-only leak is useless without the KEK.

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Optional: embeddings key

For vector retrieval (RAG), ProBot can use an OpenAI embeddings key. Without one, your bot falls back to using its full assembled context - still accurate, just less surgical for large knowledge bases. See Bring your own key.

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Costs

You only ever pay your LLM provider. ProBot itself is free and MIT-licensed. A typical resume chat is a few thousand tokens; on a mini/flash model that’s a fraction of a cent.