The Local provider is configured under Settings → Models → Custom Providers. No API key is required — you only point Parsaa at the local endpoint. The default base URL is
http://localhost:1234/v1.LM Studio
1
Install LM Studio
Download LM Studio from lmstudio.ai.
2
Download a model
Browse the catalog and download a coding-focused model.
3
Start the local server
Open the Local Server tab and start it. LM Studio serves an OpenAI-compatible API (default
http://localhost:1234/v1).4
Configure Parsaa
In Settings → Models → Custom Providers, select the Local provider and confirm the base URL matches LM Studio.
5
Select the model
Choose the local model from the picker. All inference runs on-device.
Ollama
1
Install Ollama
Download Ollama from ollama.com.
2
Pull a model
3
Confirm the endpoint
Ollama exposes an OpenAI-compatible API at
http://localhost:11434/v1.4
Configure Parsaa
In Settings → Models → Custom Providers, select the Local provider and set the base URL to Ollama’s endpoint.
5
Select the model
Choose your local model from the picker.
Hardware Recommendations
Apple Silicon with 16GB+ RAM is recommended. Larger models (13B+) benefit from 32GB+. Apple’s unified memory makes M-series chips well-suited to local inference.
Privacy
With a local model, requests never touch the network — everything runs on your Mac. This suits:- Proprietary codebases that can’t leave the organization
- Regulated industries with data-residency requirements
- Air-gapped environments with no internet access
Local models trade some capability for privacy. Frontier cloud models generally produce higher-quality results on complex tasks. Choose based on your privacy needs and the difficulty of the work.