Ollama x big-AGI 🦙

This guide helps you connect Ollama models to big-AGI for a professional AI/AGI operation and a good UI/Conversational experience. The integration brings the popular big-AGI features to Ollama, including: voice chats, editing tools, models switching, personas, and more.

Last updated Dec 16, 2023


Quick Integration Guide

  1. Ensure Ollama API Server is Running: Follow the official instructions to get Ollama up and running on your machine
  2. Add Ollama as a Model Source: In big-AGI, navigate to the Models section, select Add a model source, and choose Ollama
  3. Enter Ollama Host URL: Provide the Ollama Host URL where the API server is accessible (e.g., http://localhost:11434)
  4. Refresh Model List: Once connected, refresh the list of available models to include the Ollama models

    Optional: use the Ollama Admin interface to see which models are available and 'Pull' them in your local machine. Note that this operation will likely timeout due to Edge Functions timeout on the big-AGI server while pulling, and you'll have to press the 'Pull' button again, until a green message appears.

  5. Chat with Ollama models: select an Ollama model and begin chatting with AI personas

In addition to using the UI, configuration can also be done using environment variables.

Visual Configuration Guide:

  • After adding the Ollama model vendor, entering the IP address of an Ollama server, and refreshing models:

  • The Ollama admin panel, with the Pull button highlighted, after pulling the "Yi" model:

  • You can now switch model/persona dynamically and text/voice chat with the models:

⚠️ Network Troubleshooting

If you get errors about the server having trouble connecting with Ollama, please see this message on Issue #276.

And in brief, make sure the Ollama endpoint is accessible from the servers where you run big-AGI (which could be localhost or cloud servers). Ollama Networking Chart

Advanced: Model parameters

For users who wish to delve deeper into advanced settings, big-AGI offers additional configuration options, such as the model temperature, maximum tokens, etc.

Advanced: Ollama under a reverse proxy

You can elegantly expose your Ollama server to the internet (and thus make it easier to use from your server-side big-AGI deployments) by exposing it on an http/https URL, such as: https://yourdomain.com/ollama

On Ubuntu Servers, you will need to install nginx and configure it to proxy requests to Ollama.

sudo apt update
sudo apt install nginx
sudo apt install certbot python3-certbot-nginx
sudo certbot --nginx -d yourdomain.com

Then, edit the nginx configuration file /etc/nginx/sites-enabled/default and add the following block:

    location /ollama/ {

        # Disable buffering for the streaming responses (SSE)
        proxy_set_header Connection '';
        proxy_http_version 1.1;
        chunked_transfer_encoding off;
        proxy_buffering off;
        proxy_cache off;
        # Longer timeouts (1hr)
        keepalive_timeout 3600;
        proxy_read_timeout 3600;
        proxy_connect_timeout 3600;
        proxy_send_timeout 3600;

Reach out to our community if you need help with this.

Community and Support

Join our community to share your experiences, get help, and discuss best practices:

Official Discord

big-AGI is committed to providing a powerful, intuitive, and privacy-respecting AI experience. We are excited for you to explore the possibilities with Ollama models. Happy creating!