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node_modules/ | ||
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main.js |
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{ | ||
"root": true, | ||
"parser": "@typescript-eslint/parser", | ||
"env": { "node": true }, | ||
"plugins": [ | ||
"@typescript-eslint", | ||
"prettier" | ||
], | ||
"extends": [ | ||
"eslint:recommended", | ||
"plugin:@typescript-eslint/eslint-recommended", | ||
"plugin:@typescript-eslint/recommended", | ||
"prettier" | ||
], | ||
"parserOptions": { | ||
"sourceType": "module" | ||
}, | ||
"rules": { | ||
"no-unused-vars": "off", | ||
"@typescript-eslint/no-unused-vars": ["error", { "args": "none" }], | ||
"@typescript-eslint/ban-ts-comment": "off", | ||
"no-prototype-builtins": "off", | ||
"@typescript-eslint/no-empty-function": "off", | ||
"prettier/prettier": "error" | ||
} | ||
} |
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version: 2 | ||
updates: | ||
- package-ecosystem: "npm" | ||
directory: "/" | ||
schedule: | ||
interval: "weekly" |
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name: Build and Release | ||
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on: | ||
push: | ||
tags: | ||
- 'v*' | ||
workflow_dispatch: | ||
inputs: | ||
releaseVersion: | ||
description: 'Release Version (e.g., v1.0.0)' | ||
required: true | ||
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jobs: | ||
release: | ||
runs-on: ubuntu-latest | ||
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steps: | ||
- uses: actions/checkout@v3 | ||
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- name: Setup Node.js | ||
uses: actions/setup-node@v3 | ||
with: | ||
node-version: '21' | ||
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- name: Install dependencies | ||
run: npm ci | ||
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- name: Build | ||
run: npm run build | ||
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- name: Create Release | ||
id: create_release | ||
uses: ncipollo/release-action@v1 | ||
with: | ||
token: ${{ secrets.GH_TOKEN }} | ||
tag: ${{ github.event.inputs.releaseVersion || github.ref_name }} | ||
name: Release ${{ github.event.inputs.releaseVersion || github.ref_name }} | ||
draft: false | ||
prerelease: false | ||
artifacts: 'build/*' |
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# vscode | ||
.vscode | ||
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# Intellij | ||
*.iml | ||
.idea | ||
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# npm | ||
node_modules | ||
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# Don't include the compiled main.js file in the repo. | ||
# They should be uploaded to GitHub releases instead. | ||
main.js | ||
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# Exclude sourcemaps | ||
*.map | ||
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# obsidian | ||
data.json | ||
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# Exclude macOS Finder (System Explorer) View States | ||
.DS_Store | ||
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build |
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{ | ||
"semi": true, | ||
"singleQuote": true, | ||
"trailingComma": "all", | ||
"tabWidth": 2, | ||
"printWidth": 80 | ||
} |
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# AI/ML Connector | ||
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This is a connector for a service that provides a unified API for accessing a variety of open-source AI/ML models. | ||
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## Features | ||
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- Access a wide range of AI/ML models through a single API | ||
- Easily query models for tasks like text generation, image generation, classification, and more | ||
- Customizable settings and parameters for fine-tuning model behavior | ||
- Seamless integration with your application or platform | ||
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## Installation | ||
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To install the AI/ML Connector, follow these steps: | ||
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1. Sign up for an account on the [AI/ML service platform](https://www.aimlapi.com/). | ||
2. Obtain an API key from the platform. | ||
3. In Prompt Mixer navigate to the connector section. | ||
4. Install the AI/ML Connector and enter your API key. | ||
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## Usage | ||
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Once the connector is installed, you can start using the AI/ML models through your application or platform's interface. Typical usage might include: | ||
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- Generating text based on a given prompt | ||
- Classifying text or images into predefined categories | ||
- Generating images from textual descriptions | ||
- Performing sentiment analysis on text | ||
- Extracting key information or entities from text | ||
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To get started, refer to the documentation provided by the AI/ML service platform. This will outline the available models, their capabilities, and the required input/output formats. | ||
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## Configuration | ||
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The AI/ML Connector allows you to customize the behavior of the models by adjusting various settings and parameters. These may include: | ||
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- Model selection | ||
- Temperature, top-k, and other sampling parameters | ||
- Input length, output length, and other constraints | ||
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Consult the connector's documentation for details on the available configuration options. | ||
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## Contributing | ||
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Contributions to the AI/ML Connector are welcome! If you encounter any issues or have ideas for improvements, please feel free to open a GitHub issue or submit a pull request. | ||
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## License | ||
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The AI/ML Connector is licensed under the [MIT License](LICENSE). |
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export interface ModelConfig { | ||
connectorName: string; | ||
models: string[]; | ||
properties: Property[]; | ||
settings: Setting[]; | ||
iconBase64: string; | ||
description?: string; | ||
author?: string; | ||
} | ||
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export interface Property { | ||
id: string; | ||
name: string; | ||
value: string | number | boolean | string[]; | ||
type: 'string' | 'number' | 'boolean' | 'array'; | ||
} | ||
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export interface Setting { | ||
id: string; | ||
name: string; | ||
value: string; | ||
type: 'string'; | ||
} | ||
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export declare const config: ModelConfig; |
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export const config = { | ||
connectorName: 'AI/ML API Connector', | ||
models: [ | ||
'zero-one-ai/Yi-34B-Chat', | ||
'Austism/chronos-hermes-13b', | ||
'deepseek-ai/deepseek-coder-33b-instruct', | ||
'garage-bAInd/Platypus2-70B-instruct', | ||
'google/gemma-2b-it', | ||
'google/gemma-7b-it', | ||
'Gryphe/MythoMax-L2-13b', | ||
'lmsys/vicuna-13b-v1.5', | ||
'lmsys/vicuna-7b-v1.5', | ||
'codellama/CodeLlama-13b-Instruct-hf', | ||
'codellama/CodeLlama-34b-Instruct-hf', | ||
'codellama/CodeLlama-70b-Instruct-hf', | ||
'codellama/CodeLlama-7b-Instruct-hf', | ||
'meta-llama/Llama-2-70b-chat-hf', | ||
'meta-llama/Llama-2-13b-chat-hf', | ||
'meta-llama/Llama-2-7b-chat-hf', | ||
'mistralai/Mistral-7B-Instruct-v0.1', | ||
'mistralai/Mistral-7B-Instruct-v0.2', | ||
'mistralai/Mixtral-8x7B-Instruct-v0.1', | ||
'NousResearch/Nous-Capybara-7B-V1p9', | ||
'NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO', | ||
'NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT', | ||
'NousResearch/Nous-Hermes-llama-2-7b', | ||
'NousResearch/Nous-Hermes-Llama2-13b', | ||
'NousResearch/Nous-Hermes-2-Yi-34B', | ||
'openchat/openchat-3.5-1210', | ||
'Open-Orca/Mistral-7B-OpenOrca', | ||
'togethercomputer/Qwen-7B-Chat', | ||
'Qwen/Qwen1.5-0.5B-Chat', | ||
'Qwen/Qwen1.5-1.8B-Chat', | ||
'Qwen/Qwen1.5-4B-Chat', | ||
'Qwen/Qwen1.5-7B-Chat', | ||
'Qwen/Qwen1.5-14B-Chat', | ||
'Qwen/Qwen1.5-72B-Chat', | ||
'snorkelai/Snorkel-Mistral-PairRM-DPO', | ||
'togethercomputer/alpaca-7b', | ||
'teknium/OpenHermes-2-Mistral-7B', | ||
'teknium/OpenHermes-2p5-Mistral-7B', | ||
'togethercomputer/falcon-40b-instruct', | ||
'togethercomputer/falcon-7b-instruct', | ||
'togethercomputer/Llama-2-7B-32K-Instruct', | ||
'togethercomputer/RedPajama-INCITE-Chat-3B-v1', | ||
'togethercomputer/RedPajama-INCITE-7B-Chat', | ||
'togethercomputer/StripedHyena-Nous-7B', | ||
'Undi95/ReMM-SLERP-L2-13B', | ||
'Undi95/Toppy-M-7B', | ||
'WizardLM/WizardLM-13B-V1.2', | ||
'upstage/SOLAR-10.7B-Instruct-v1.0', | ||
'codellama/CodeLlama-70b-Python-hf', | ||
'codellama/CodeLlama-34b-Python-hf', | ||
'codellama/CodeLlama-13b-Python-hf', | ||
'codellama/CodeLlama-7b-Python-hf', | ||
'Phind/Phind-CodeLlama-34B-v2', | ||
'WizardLM/WizardCoder-Python-34B-V1.0', | ||
'WizardLM/WizardCoder-15B-V1.0' | ||
], | ||
description: | ||
'This plugin for connect to AI/ML LLM models by API', | ||
author: 'Prompt Mixer', | ||
properties: [ | ||
{ | ||
id: 'prompt', | ||
name: 'System Prompt', | ||
value: 'You are a helpful assistant.', | ||
type: 'string', | ||
}, | ||
{ | ||
id: 'max_tokens', | ||
name: 'Max Tokens', | ||
value: 4096, | ||
type: 'number', | ||
}, | ||
{ | ||
id: 'temperature', | ||
name: 'Temperature', | ||
value: 0.7, | ||
type: 'number', | ||
}, | ||
{ | ||
id: 'top_p', | ||
name: 'Top P', | ||
value: 1, | ||
type: 'number', | ||
}, | ||
{ | ||
id: 'frequency_penalty', | ||
name: 'Frequency Penalty', | ||
value: 0.5, | ||
type: 'number', | ||
}, | ||
{ | ||
id: 'presence_penalty', | ||
name: 'Presence Penalty', | ||
value: 0.5, | ||
type: 'number', | ||
}, | ||
{ | ||
id: 'stop', | ||
name: 'Stop Sequences', | ||
value: ['\n'], | ||
type: 'array', | ||
}, | ||
{ | ||
id: 'echo', | ||
name: 'Echo', | ||
value: false, | ||
type: 'boolean', | ||
}, | ||
{ | ||
id: 'best_of', | ||
name: 'Best Of', | ||
value: 1, | ||
type: 'number', | ||
}, | ||
{ | ||
id: 'logprobs', | ||
name: 'LogProbs', | ||
value: false, | ||
type: 'boolean', | ||
}, | ||
], | ||
settings: [ | ||
{ | ||
id: 'API_KEY', | ||
name: 'API Key', | ||
value: '', | ||
type: 'string', | ||
}, | ||
], | ||
iconBase64: | ||
'data:image/svg+xml;base64,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', | ||
}; |
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import esbuild from 'esbuild'; | ||
import process from 'process'; | ||
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const prod = process.argv[2] === 'production'; | ||
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const context = await esbuild.context({ | ||
entryPoints: ['main.ts'], | ||
bundle: true, | ||
platform: 'node', | ||
target: 'es2022', | ||
outfile: './build/main.js', | ||
}); | ||
|
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if (prod) { | ||
await context.rebuild(); | ||
process.exit(0); | ||
} else { | ||
await context.watch(); | ||
} |
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