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Models and providers

Choose a provider and model: your own API key, a local model, or Lamied-hosted models on the Team plan.

Choose your model first

Lamied defaults to Nemotron 3 Super through its hosted service. Lamied Ultra and Lamied Team subscribers sign in without adding a provider key. You can also use your own API key or a local model. Existing saved model choices are preserved. Change your choice any time with /model.

Supported providers

ProviderWhat you needModels
Nemotron (NVIDIA)An NVIDIA API keyOne fixed model
OpenAIAn OpenAI API keyChoose from your account's models
Claude (Anthropic)An Anthropic API keyChoose from your account's models
GeminiA Google AI (Gemini) API keyChoose from your account's models
GroqA Groq API keyChoose from your account's models
MistralA Mistral API keyChoose from your account's models; also powers Codestral autocomplete
AddisAIAn AddisAI API keyOne fixed model
Local ModelA model server on your computer (no key)Whatever your server provides
Lamied UltraA Lamied Ultra or Team subscription (no provider key)Amazon Bedrock models

Connect a provider with your API key

  1. Create an API key in your provider's dashboard (OpenAI, Anthropic, Google AI Studio, Groq, Mistral…).
  2. In Lamied, open the AI panel (Ctrl+J) and click ⚙ at the top, or type /settings.
  3. Choose your provider in the Provider menu.
  4. Paste the key into API Key and click Save. The status line confirms the key is saved.
  5. Type /model, pick the provider, then pick the model you want. The chat confirms it, for example Switched to Claude (Anthropic) · claude-…

You can save keys for several providers and switch between them any time with /model. To delete a key, choose its provider in settings and click Remove key.

How keys are stored

  • Keys are encrypted with your operating system's credential store (the keychain on macOS, the credential vault on Windows, the Secret Service keyring on Linux) and saved only on your computer.
  • They are never sent to Lamied. Each key is used only for requests to its own provider.
  • If your system has no secure credential store, Lamied refuses to save the key rather than store it unencrypted. On Linux, install and unlock a keyring such as GNOME Keyring or KWallet.

Use a local model

  1. Start a model server with an OpenAI-compatible API, such as Ollama, LM Studio or llama.cpp's server.
  2. In AI settings, choose Local Model.
  3. Enter the server's Base URL, for example http://localhost:11434/v1 for Ollama, and click Save. No API key is needed.
  4. Choose the model with /model.

A local model keeps your prompts on your computer. Signing in and checking Pro still need an internet connection, and a small local model may struggle with long, multi-step tasks.

Amazon Bedrock models

Choose Lamied in AI settings, then use /model to select Nemotron 3 Super, Nemotron Nano 3, Llama 4 Maverick 17B or Llama 4 Scout 17B. Team and Ultra both include these models. Ultra also adds Kimi K3, GLM 5, GLM 4.7 and DeepSeek V3.2. No AWS account or Bedrock key is needed.

Llama 4 tool-enabled turns appear after the complete response arrives; ordinary text turns stream. Use the Plans button in the AI panel to upgrade or renew, including when you already have Pro.

Use Lamied Ultra or Team

  1. Sign in with your subscription account (or the email your Team owner added).
  2. In AI settings choose Lamied Ultra. No provider key is required.
  3. Use /model to choose Gemini 3.5 Flash-Lite, GLM 5.3 Flash, DeepSeek V4.1 Flash, Nemotron 3.5 Super (Pro and above) or Kimi K3, GLM 5.3, Gemini 4 Argon, Gemini 3.8 Flash (Ultra and Team).

Ultra has individual 5-hour, weekly and 30-day usage windows. Team shares larger windows among its 3 members. The meter above the message box shows use and reset times. When a limit is reached, switch to a personal API key or wait for the reset. Lamied Pro supports personal provider keys and local models. See Billing and Pro.

Chat model and autocomplete model

/model sets the model that answers in the chat. Autocomplete has its own setting, /fim, because it's called far more often and needs to be fast. See Slash commands.