Add Ollama support and docs

docs/getting_started.md

@@ -65,11 +65,7 @@ If everything worked, we should now be able to start chatting with our personal
 
 **Setup: Run with Ollama**
 
-How-to-Guide will be written here soon, but it should be fairly simple with [Ollama](https://ollama.ai/) serve and `ngrok http 11434`
-
-```
-brew install ngrok/ngrok/ngrok
-```
+Check under [How to guides](https://docs.adeus.ai/guides/guides.html)
 
 ---
 

docs/guides/ollama_ngrok_setup.md

@@ -0,0 +1,110 @@
+---
+title: Setup Ollama and ngrok
+description: Running Ollama Locally and Serving with Ngrok
+layout: default
+parent: How to Guides
+---
+
+# Setup Ollama and ngrok
+{: .no_toc }
+
+## Table of contents
+{: .no_toc .text-delta }
+
+1. TOC
+{:toc}
+
+---
+
+## Intro
+If you would like to setup a local LLM server, you can use the following steps to setup Ollama and serve it with ngrok.
+
+
+## Setup Ollama locally
+
+There are several ways to setup Ollama, the easiest way is to setup using docker but they support Linux and Mac installs and currently have a Windows preview as well!
+Check out [Ollama](https://ollama.com) and on [Github](https://github.com/ollama/ollama) for the complete info.
+
+
+1. Install the relevant package for Ollama based on your OS
+
+2. Download Mistral model through Ollama CLI
+```bash
+ollama pull mistral
+```
+
+3. Serve it over localhost
+```bash
+ollama serve
+```
+
+You should now be able to see a message saying "Ollama is running" on [http://localhost:11434](http://localhost:11434)
+
+4. Test Mistral model using curl
+```bash
+curl http://localhost:11434/v1/chat/completions \
+    -H "Content-Type: application/json" \
+    -d '{
+        "model": "mistral",
+        "messages": [
+            {
+                "role": "system",
+                "content": "You are a helpful assistant."
+            },
+            {
+                "role": "user",
+                "content": "Hello!"
+            }
+        ]
+    }'
+```
+
+
+## Setup ngrok
+
+To provide access to your supabase functions and your chat app, you would need to expose this to the internet, one of the options for the same is [ngrok](https://ngrok.com/).
+
+Let's do a quick setup for ngrok.
+
+
+1. Download and Install Ngrok. If you haven't already installed ngrok, download it from ngrok's [website](https://ngrok.com/download) and follow the installation instructions for your operating system.
+
+2. Sign-up on ngrok for your authtoken
+
+```bash
+ngrok config add-authtoken <token>
+```
+
+3. Start an Ngrok Tunnel
+Open the exe and start an ngrok tunnel to the port where Ollama is running (usually its 11434)
+```bash
+ngrok http 11434
+```
+Ngrok will display a screen with several pieces of information, including the public URL that ngrok provides. It will look something like this:
+```bash
+Forwarding          https://f4dc-2001-bb6.ngrok-free.app -> http://localhost:11434
+```
+
+4. Access Ollama from the Internet
+Copy the ngrok URL (http://123abc.ngrok.io in the example above) and paste it into your web browser. You should now be able to access your local Ollama instance from anywhere on the internet.
+Remember that ngrok sessions are temporary. If you restart ngrok, you'll get a new URL.
+
+5. Secure Your Tunnel (Optional)
+If you plan to use ngrok for an extended period or for sensitive applications, consider securing your tunnel with additional options like basic authentication, which can be done as follows:
+
+```bash
+ngrok http 11434 --basic-auth="<username>:<password>"
+```
+You've now successfully set up Ollama to run locally and made it accessible over the internet using ngrok. Remember to monitor your ngrok tunnel and be aware of its usage limits and security implications.
+
+
+## Use Ollama with Adeus
+
+To use the Ollama and ngrok that you setup with Adeus chat application, setup the public url of ngrok in the supabase secret as OLLAMA_BASE_URL
+
+```bash
+supabase secrets set OLLAMA_BASE_URL=https://f4dc-2001-bb6.ngrok-free.app
+```
+
+You should now be able to chat with your local model on Adeus!
+Ps: The embeddings still use OpenAI's embedding since Ollama doesn't support the OpenAI's embedding endpoints yet. It will be added as part of the code as soon as it is released. So for now you need to setup both OLLAMA_BASE_URL and OPENAI_API_KEY in the supabase secret.

supabase/functions/chat/index.ts

@@ -7,14 +7,26 @@ import { ApplicationError, UserError } from "../common/errors.ts";
 
 async function generateResponse(
   useOpenRouter,
+  useOllama,
   openaiClient,
   openRouterClient,
+  ollamaClient,
   messages
 ) {
-  const client = useOpenRouter ? openRouterClient : openaiClient;
-  const modelName = useOpenRouter
-    ? "nousresearch/nous-capybara-34b"
-    : "gpt-4-1106-preview";
+
+  let client;
+  let modelName;
+
+  if (useOpenRouter) {
+    client = openRouterClient;
+    modelName = "nousresearch/nous-capybara-34b";
+  } else if (useOllama) {
+    client = ollamaClient;
+    modelName = "mistral"; 
+  } else {
+    client = openaiClient;
+    modelName = "gpt-4-1106-preview";
+  }
 
   const { choices } = await client.chat.completions.create({
     model: modelName,
@@ -60,6 +72,17 @@ const chat = async (req) => {
     });
   }
 
+  const ollamaApiKey = Deno.env.get("OLLAMA_BASE_URL");
+  const useOllama = Boolean(ollamaApiKey); // Use Ollama if OLLAMA_BASE_URL is available
+
+  let ollamaClient;
+  if (useOllama) {
+    ollamaClient = new OpenAI({
+      baseURL: Deno.env.get("OLLAMA_BASE_URL"),
+      apiKey: "ollama"
+    });
+  }
+
   console.log("messageHistory: ", messageHistory);
 
   // Embed the last messageHistory message using OpenAI's embeddings API
@@ -88,7 +111,7 @@ const chat = async (req) => {
   let messages = [
     {
       role: "system",
-      content: `You are a helpful assistant, helping the user navigate through life. He is asking uoi questions, and you answer them with the best of your ability.
+      content: `You are a helpful assistant, helping the user navigate through life. He is asking you questions, and you answer them with the best of your ability.
       You have access to some of their records, to help you answer their question in a more personalized way.
 
       Records:
@@ -102,8 +125,10 @@ const chat = async (req) => {
   try {
     const responseMessage = await generateResponse(
       useOpenRouter,
+      useOllama,
       openaiClient,
       openRouterClient,
+      ollamaClient,
       messages
     );