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Providers and Models

Ulvi Mammadov edited this page Oct 19, 2026 · 2 revisions

Providers and Models

Artemis talks to any server that speaks the OpenAI chat API (/v1/chat/completions with streaming and tool calling). You add providers in Settings, and the models from every enabled provider appear in the model picker.

How to use

Add a provider

  1. Open Settings (Cmd/Ctrl+,) → Providers and click Add provider….

  2. Under Start from, pick a preset. Each preset fills in the name, the endpoint URL and, for some, a starter model list:

    Preset Endpoint Key
    Cloudflare Workers AI Cloudflare account endpoint required
    Ollama (local) http://localhost:11434/v1 none
    LM Studio (local) http://localhost:1234/v1 none
    OpenRouter https://openrouter.ai/api/v1 required
    OpenAI https://api.openai.com/v1 required
    Anthropic (Claude API) https://api.anthropic.com/v1 required (pay per token; Claude Pro/Max logins cannot be used)
    Custom (OpenAI-compatible) any server with /v1/chat/completions optional
  3. Check Name and Endpoint URL (with or without /v1).

  4. Paste the API key. Keys are stored encrypted. For an existing provider the field shows that a key is saved; type a new one to replace it.

  5. Click Fetch models to load the provider's list. Pick models one by one with Add a model, or edit the Models box directly.

  6. Click Test connection, then Add provider.

Provider changes are saved right away. Use the switch on a provider row to enable or disable it, Edit… to change it, and Remove inside the editor to delete it together with its key.

The Models box

One model per line:

model-id
model-id | price in | price out

Prices are USD per 1M tokens and optional. Artemis uses them to estimate spending and enforce usage limits. Models without a price count as free (local models, for example).

Internally a model is addressed as prov:<providerId>:<modelId>.

Pick a model

  • Default model (Settings → General → Model) is used for new chats.
  • Each chat has a model picker at the top; changing it affects only that chat.
  • Reasoning level (Auto, Low, Medium, High) sets how hard the model thinks. Set the default in Settings → General and change it per chat next to the model picker. Models that do not support it ignore it.

Models for specific jobs

Several features can use a smaller, cheaper model than your chat model:

Setting Where Used for
Model for scheduled tasks Settings → General → Scheduled tasks Every scheduled task without its own model
Title model Settings → General → Chat titles Automatic chat titles
Learning model Settings → Tools & safety → Skills and learning Deciding whether a finished task is worth saving as a skill
Sentinel model Settings → Voice Voice (Sentinel) chats; a small fast model starts spoken answers sooner
Image model Settings → General → Model Image generation; needs an endpoint with /images/generations
Video model Settings → General → Model Video generation; needs an endpoint with /videos/generations

Image and video models are picked from the same providers. Off disables generation.

Settings

Setting Where What it does
This provider requires an API key Provider editor Marks the key as required; the row shows "key missing" without one
This server cannot call tools Provider editor For a proxy in front of the Claude CLI that ignores tool calls. Artemis then sends plain chat only; memory still works through a hidden marker
Extra headers (optional) Provider editor One Name: value per line, sent with every request. Cloudflare AI Gateway uses cf-aig-gateway-id: default. Authorization cannot be overridden
Routing Provider editor (OpenRouter only) Default (balanced), Cheapest first, Lowest latency first or Highest throughput first
Preferred servers (optional) Provider editor (OpenRouter only) Comma-separated OpenRouter server slugs tried first; use this or a routing choice, not both

Local models (Ollama and LM Studio)

  1. Ollama: start Ollama, add the Ollama (local) preset and click Fetch models.
  2. LM Studio: start the local server in LM Studio (Developer tab), load a model, add the LM Studio (local) preset and click Fetch models.

Things to know:

  • Tool calling needs a model that supports it. A model without tool support still works for plain chat; turn tools off for that chat with the Tools pill.
  • Context length: Ollama's default context window is small and silently cuts long prompts, including the system prompt and the tool list. Set OLLAMA_CONTEXT_LENGTH=16384 (or more) on the server, or create a model with PARAMETER num_ctx 16384 in a Modelfile.
  • Fewer tools for small models: with every tool group on, the tool list alone is roughly 10,000 tokens. Turn off groups you do not need in Settings → Tools & safety, and keep Switch heavy tools on only when needed on.
  • A server on another machine works: put its address in the endpoint URL. Ollama has no authentication, so reach it over a private network (for example Tailscale), not the open internet.

Tips

  • OpenRouter gives you one key for hundreds of models, which makes it easy to try several.
  • Use a cheap model for scheduled tasks, titles and learning; keep the strong model for chats.
  • If a model shows images as "left out", it cannot see images. Pick a vision model for screenshots and attached images.

Limits and safety

  • Keys and tokens are encrypted with the OS keychain (Electron safeStorage). If the OS offers no encryption (some Linux setups) they are stored in plain text in the app data folder.
  • Artemis only contacts the providers you add. There is no analytics or auto-update code.

See also

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