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Askimo

LM Studio Setup for Askimo App

LM Studio Configuration

Section titled “LM Studio Configuration”

Connect Askimo App to LM Studio for reliable, private local AI model management.

Using Askimo with a team?

There are two ways your team can access AI through Askimo today:

Available now

Bring your own key

Each team member adds their own API keys in Askimo. Keys are encrypted and stored locally on their machine. Best for individuals and small groups who want full independence.

Available now

Shared AI Gateway

Run an OpenAI-compatible gateway on a shared server. Each user connects Askimo with just a URL, with no personal API keys required. The real keys stay on the server with central spend control. See an example setup using LiteLLM.

Coming soon

Askimo Team

A native team edition with shared workspaces and collaboration features is in development. Learn more.

Server Configuration

Section titled “Server Configuration”
  • Server URL: LM Studio server endpoint
    • Default: http://localhost:1234/v1
    • For remote servers: http://your-server:1234/v1
  • Timeout: Connection timeout (default: 120s)
  • Available Models: Detected from your LM Studio instance

Setting Up LM Studio

Section titled “Setting Up LM Studio”
  1. Download and install LM Studio from lmstudio.ai
  2. Launch LM Studio
  3. Download a model from the model browser
  4. Start the local server in LM Studio:
    • Click on the “Local Server” tab
    • Click “Start Server”
  5. In Askimo, the server will be auto-detected
  6. Select a model from the dropdown
  7. Click “Test Connection” to verify

Accessing Provider Settings

Section titled “Accessing Provider Settings”
  1. Click on the menu bar
  2. Select “Settings”
  3. Navigate to the “AI Providers” tab
  4. Select “LM Studio” from the provider list

Keyboard Shortcut: ⌘ + , (macOS) or Ctrl + , (Windows/Linux) then click “AI Providers”

Troubleshooting

Section titled “Troubleshooting”

Cannot Connect?

  • Verify LM Studio server is running
  • Check that port 1234 is not blocked
  • Ensure correct server URL in settings
  • Try restarting LM Studio

Model Not Loading?

  • Check if model is fully downloaded in LM Studio
  • Verify sufficient RAM/VRAM available
  • Try a smaller model first
  • Check LM Studio logs for errors

Slow Inference?

  • Enable GPU acceleration in LM Studio
  • Use quantized models (4-bit or 8-bit)
  • Close unnecessary applications
  • Monitor RAM/VRAM usage

Messages Getting Cut Off or “Context Length Exceeded” Errors?

LM Studio loads models with a very low default context length (often 2048 or 4096 tokens or less), regardless of what the model technically supports. How high you can go depends on the model and your available VRAM — larger context windows consume significantly more memory.

You must set the context length explicitly in LM Studio:

  1. In LM Studio, go to the model settings panel (right side when the model is loaded)
  2. Find the “Context Length” field
  3. Set it to a value appropriate for your use case — common choices are 4096, 8192, or 16384
  4. Reload the model for the change to take effect

If you are consistently hitting context limits, consider using a quantized model (4-bit or 8-bit) to free up VRAM headroom for a larger context window.

Advanced Configuration

Section titled “Advanced Configuration”

Custom Server Port: If using a different port in LM Studio, update the Server URL:

http://localhost:YOUR_PORT/v1

Remote LM Studio: Connect to LM Studio running on another machine:

http://REMOTE_IP:1234/v1