mirror of
https://github.com/mudler/LocalAI.git
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Merge branch 'master' into renovate/github.com-go-skynet-go-gpt4all-j.cpp-digest
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commit
b4851441ef
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@ -6,6 +6,7 @@ Here is a list of projects that can easily be integrated with the LocalAI backen
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- [chatbot-ui](https://github.com/go-skynet/LocalAI/tree/master/examples/chatbot-ui/) (by [@mkellerman](https://github.com/mkellerman))
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- [discord-bot](https://github.com/go-skynet/LocalAI/tree/master/examples/discord-bot/) (by [@mudler](https://github.com/mudler))
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- [slack-bot](https://github.com/go-skynet/LocalAI/tree/master/examples/slack-bot/) (by [@mudler](https://github.com/mudler))
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## Want to contribute?
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2
examples/langchain/.gitignore
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2
examples/langchain/.gitignore
vendored
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models/ggml-koala-13B-4bit-128g
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models/ggml-gpt4all-j
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6
examples/langchain/JS.Dockerfile
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6
examples/langchain/JS.Dockerfile
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FROM node:latest
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COPY ./langchainjs-localai-example /app
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WORKDIR /app
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RUN npm install
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RUN npm run build
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ENTRYPOINT [ "npm", "run", "start" ]
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31
examples/langchain/README.md
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examples/langchain/README.md
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# langchain
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Example of using langchain in TypeScript, with the standard OpenAI llm module, and LocalAI.
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Example for python langchain to follow at a later date
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Set up to make it easy to modify the `index.mts` file to look like any langchain example file.
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**Please Note** - This is a tech demo example at this time. ggml-gpt4all-j has pretty terrible results for most langchain applications with the settings used in this example.
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## Setup
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```bash
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# Clone LocalAI
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git clone https://github.com/go-skynet/LocalAI
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cd LocalAI/examples/langchain
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# (optional) - Edit the example code in typescript.
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# vi ./langchainjs-localai-example/index.ts
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# Download gpt4all-j to models/
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wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
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# start with docker-compose
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docker-compose up --build
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```
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## Copyright
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Some of the example code in index.mts is adapted from the langchainjs project and is Copyright (c) Harrison Chase. Used under the terms of the MIT license, as is the remainder of this code.
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25
examples/langchain/docker-compose.yaml
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25
examples/langchain/docker-compose.yaml
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version: '3.6'
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services:
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api:
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image: quay.io/go-skynet/local-ai:latest
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build:
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context: ../../
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dockerfile: Dockerfile.dev
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ports:
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- 8080:8080
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environment:
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- DEBUG=true
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- MODELS_PATH=/models
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volumes:
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- ./models:/models:cached
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command: ["/usr/bin/local-ai" ]
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langchainjs:
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build:
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context: .
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dockerfile: JS.Dockerfile
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environment:
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- 'OPENAI_API_KEY=sk-XXXXXXXXXXXXXXXXXXXX'
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- 'OPENAI_API_HOST=http://api:8080/v1'
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- 'MODEL_NAME=gpt-3.5-turbo' #gpt-3.5-turbo' # ggml-gpt4all-j' # ggml-koala-13B-4bit-128g'
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2
examples/langchain/langchainjs-localai-example/.gitignore
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2
examples/langchain/langchainjs-localai-example/.gitignore
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node_modules/
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dist/
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20
examples/langchain/langchainjs-localai-example/.vscode/launch.json
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examples/langchain/langchainjs-localai-example/.vscode/launch.json
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{
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// Use IntelliSense to learn about possible attributes.
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// Hover to view descriptions of existing attributes.
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// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
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"version": "0.2.0",
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"configurations": [
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{
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"type": "node",
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"request": "launch",
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"name": "Launch Program",
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// "skipFiles": [
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// "<node_internals>/**"
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// ],
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"program": "${workspaceFolder}\\dist\\index.mjs",
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"outFiles": [
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"${workspaceFolder}/**/*.js"
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]
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}
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]
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}
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2313
examples/langchain/langchainjs-localai-example/package-lock.json
generated
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examples/langchain/langchainjs-localai-example/package-lock.json
generated
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21
examples/langchain/langchainjs-localai-example/package.json
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21
examples/langchain/langchainjs-localai-example/package.json
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{
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"name": "langchainjs-localai-example",
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"version": "0.1.0",
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"description": "Trivial Example of using langchain + the OpenAI API + LocalAI together",
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"main": "index.mjs",
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"scripts": {
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"build": "tsc --build",
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"clean": "tsc --build --clean",
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"start": "node --trace-warnings dist/index.mjs"
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},
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"author": "dave@gray101.com",
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"license": "MIT",
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"devDependencies": {
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"@types/node": "^18.16.3",
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"typescript": "^5.0.4"
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},
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"dependencies": {
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"langchain": "^0.0.67",
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"typeorm": "^0.3.15"
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}
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}
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79
examples/langchain/langchainjs-localai-example/src/index.mts
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79
examples/langchain/langchainjs-localai-example/src/index.mts
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import { OpenAIChat } from "langchain/llms/openai";
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import { loadQAStuffChain } from "langchain/chains";
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import { Document } from "langchain/document";
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import { initializeAgentExecutorWithOptions } from "langchain/agents";
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import {Calculator} from "langchain/tools/calculator";
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const pathToLocalAi = process.env['OPENAI_API_HOST'] || 'http://api:8080/v1';
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const fakeApiKey = process.env['OPENAI_API_KEY'] || '-';
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const modelName = process.env['MODEL_NAME'] || 'gpt-3.5-turbo';
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function getModel(): OpenAIChat {
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return new OpenAIChat({
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prefixMessages: [
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{
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role: "system",
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content: "You are a helpful assistant that answers in pirate language",
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},
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],
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modelName: modelName,
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maxTokens: 50,
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openAIApiKey: fakeApiKey,
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maxRetries: 2
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}, {
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basePath: pathToLocalAi,
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apiKey: fakeApiKey,
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});
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}
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// Minimal example.
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export const run = async () => {
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const model = getModel();
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console.log(`about to model.call at ${new Date().toUTCString()}`);
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const res = await model.call(
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"What would be a good company name a company that makes colorful socks?"
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);
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console.log(`${new Date().toUTCString()}`);
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console.log({ res });
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};
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await run();
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// This example uses the `StuffDocumentsChain`
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export const run2 = async () => {
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const model = getModel();
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const chainA = loadQAStuffChain(model);
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const docs = [
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new Document({ pageContent: "Harrison went to Harvard." }),
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new Document({ pageContent: "Ankush went to Princeton." }),
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];
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const resA = await chainA.call({
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input_documents: docs,
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question: "Where did Harrison go to college?",
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});
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console.log({ resA });
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};
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await run2();
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// Quickly thrown together example of using tools + agents.
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// This seems like it should work, but it doesn't yet.
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export const temporarilyBrokenToolTest = async () => {
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const model = getModel();
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const executor = await initializeAgentExecutorWithOptions([new Calculator(true)], model, {
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agentType: "zero-shot-react-description",
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});
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console.log("Loaded agent.");
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const input = `What is the value of (500 *2) + 350 - 13?`;
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console.log(`Executing with input "${input}"...`);
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const result = await executor.call({ input });
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console.log(`Got output ${result.output}`);
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}
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await temporarilyBrokenToolTest();
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15
examples/langchain/langchainjs-localai-example/tsconfig.json
Normal file
15
examples/langchain/langchainjs-localai-example/tsconfig.json
Normal file
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{
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"compilerOptions": {
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"target": "es2022",
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"lib": ["ES2022", "DOM"],
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"module": "ES2022",
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"moduleResolution": "node",
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"strict": true,
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"esModuleInterop": true,
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"allowSyntheticDefaultImports": true,
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"isolatedModules": true,
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"outDir": "./dist"
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},
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"include": ["src", "test"],
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"exclude": ["node_modules", "dist"]
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}
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1
examples/langchain/models/completion.tmpl
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1
examples/langchain/models/completion.tmpl
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{{.Input}}
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17
examples/langchain/models/gpt-3.5-turbo.yaml
Normal file
17
examples/langchain/models/gpt-3.5-turbo.yaml
Normal file
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name: gpt-3.5-turbo
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parameters:
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model: ggml-gpt4all-j # ggml-koala-13B-4bit-128g
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top_k: 80
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temperature: 0.2
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top_p: 0.7
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context_size: 1024
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threads: 4
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stopwords:
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- "HUMAN:"
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- "GPT:"
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roles:
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user: " "
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system: " "
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template:
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completion: completion
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chat: completion # gpt4all
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4
examples/langchain/models/gpt4all.tmpl
Normal file
4
examples/langchain/models/gpt4all.tmpl
Normal file
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The prompt below is a question to answer, a task to complete, or a conversation to respond to; decide which and write an appropriate response.
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### Prompt:
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{{.Input}}
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### Response:
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11
examples/slack-bot/.env.example
Normal file
11
examples/slack-bot/.env.example
Normal file
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SLACK_APP_TOKEN=xapp-1-...
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SLACK_BOT_TOKEN=xoxb-...
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OPENAI_API_KEY=sk-...
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OPENAI_API_BASE=http://api:8080
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OPENAI_MODEL=gpt-3.5-turbo
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OPENAI_TIMEOUT_SECONDS=60
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#OPENAI_SYSTEM_TEXT="You proofread text. When you receive a message, you will check
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#for mistakes and make suggestion to improve the language of the given text"
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USE_SLACK_LANGUAGE=true
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SLACK_APP_LOG_LEVEL=INFO
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TRANSLATE_MARKDOWN=true
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27
examples/slack-bot/README.md
Normal file
27
examples/slack-bot/README.md
Normal file
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# Slack bot
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Slackbot using: https://github.com/seratch/ChatGPT-in-Slack
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## Setup
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```bash
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# Clone LocalAI
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git clone https://github.com/go-skynet/LocalAI
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cd LocalAI/examples/slack-bot
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git clone https://github.com/seratch/ChatGPT-in-Slack
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# (optional) Checkout a specific LocalAI tag
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# git checkout -b build <TAG>
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# Download gpt4all-j to models/
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wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
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# Set the discord bot options (see: https://github.com/seratch/ChatGPT-in-Slack)
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cp -rfv .env.example .env
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vim .env
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# start with docker-compose
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docker-compose up -d --build
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```
|
23
examples/slack-bot/docker-compose.yaml
Normal file
23
examples/slack-bot/docker-compose.yaml
Normal file
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version: '3.6'
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services:
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api:
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image: quay.io/go-skynet/local-ai:latest
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build:
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||||
context: ../../
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||||
dockerfile: Dockerfile.dev
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||||
ports:
|
||||
- 8080:8080
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||||
environment:
|
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- DEBUG=true
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||||
- MODELS_PATH=/models
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volumes:
|
||||
- ./models:/models:cached
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||||
command: ["/usr/bin/local-ai" ]
|
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|
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bot:
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build:
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context: ./ChatGPT-in-Slack
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dockerfile: Dockerfile
|
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env_file:
|
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- .env
|
1
examples/slack-bot/models
Symbolic link
1
examples/slack-bot/models
Symbolic link
|
@ -0,0 +1 @@
|
|||
../chatbot-ui/models
|
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