kbot refs
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@ -207,3 +207,18 @@ osr-cli each --main='kbot \"read ${KEY} and translate to german, save in docs/la
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```bash
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npm i -g @plastichub/osr-cli-commons
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```
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### References
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#### Huggingface
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- https://huggingface.co/spaces/enzostvs/hub-api-playground
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- https://www.npmjs.com/package/@gradio/client
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- https://github.com/huggingface/text-generation-inference/blob/main/docs/openapi.json
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- Img to 3D : https://huggingface.co/spaces/JeffreyXiang/TRELLIS
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#### Providers
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- https://www.llamaindex.ai/llamaparse (doc parsers)
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@ -1,209 +0,0 @@
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# @plastichub/kbot
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AI-powered command-line tool for code modifications and project management that supports multiple AI models and routers.
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## Overview
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Code-bot is a powerful CLI tool that helps developers automate code modifications, handle project management tasks, and integrate with various AI models for intelligent code and content assistance.
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## Quick Start
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### Installation Steps
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KBot requires Node.js to run. It's recommended to use Node.js version 18 or higher.
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1. Visit the official [Node.js website](https://nodejs.org/)
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2. Download the LTS (Long Term Support) version for your operating system
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3. Follow the installation wizard
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4. Verify installation by opening a terminal and running:
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```bash
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node --version
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npm --version
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```
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### API Keys
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KBot supports both OpenRouter and OpenAI APIs. You'll need at least one of these set up.
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#### OpenRouter API (Recommended)
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1. Visit [OpenRouter](https://openrouter.ai/)
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2. Sign up for an account
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3. Navigate to the API Keys section
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4. Create a new API key
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#### OpenAI API (Optional)
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1. Go to [OpenAI's platform](https://platform.openai.com/)
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2. Create an account or sign in
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3. Navigate to API keys section
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4. Create a new secret key
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### Installation using Node NPM package manager
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```bash
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npm install -g @plastichub/kbot
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```
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## Configuration
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### API Keys Setup
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Create configuration at `$HOME/.osr/.config.json` (or export OSR_CONFIG with path to config.json):
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```json
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{
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"openrouter": {
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"key": "your-openrouter-key"
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},
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"openai": {
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"key": "your-openai-key"
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},
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"email": {
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"newsletter": {
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"host": "host.org",
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"port": 465,
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"debug": true,
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"transactionLog": true,
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"auth": {
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"user": "foo@bar.com",
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"pass": "pass"
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}
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}
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},
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"google": {
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"cse": "custom search engine id",
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"api_key": "google custom search api key"
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},
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"serpapi": {
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"key": "your SerpAPI key (optional, used for web searches(places, google maps))"
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},
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"deepseek": {
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"key": "your SerpAPI key (optional, used for web searches(places, google maps))"
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},
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}
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```
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### Preferences Setup
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Optionally, create `.kbot/preferences.md` in your project directory to customize AI interactions:
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```markdown
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## My Preferences
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Gender : male
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Location : New York, USA (eg: `send me all saunas next to me`)
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Language : English
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Occupation : software developer, Typescript
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Age : 30+
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## Contacts
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My email address : example@email.com (eg: `send me latest hacker news`)
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My wife's email address ("Anne") : example@email.com (eg: `send email to my wife, with latest local news')
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## Content
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When creating content
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- always Markdown
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- always add links
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- when sending emails, always add 'Best regards, [Your Name]'
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```
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## Commands
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### Prompt
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```kbot "create Astro minimal boilerplate, use starlight theme. Install dependencies via NPM tool"```
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### Fetch latest models
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```kbot fetch```
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### Print examples
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```kbot examples```
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### Print extended help
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```kbot help-md```
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### Initialize folder
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```kbot init```
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# Command Line Parameters
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This document describes all available command line parameters.
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## Core Parameters
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| Parameter | Description | Default | Required |
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|-----------|-------------|---------|----------|
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| `path` | Target directory | `.` | No |
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| `prompt` | The prompt. Supports file paths and environment variables | `./prompt.md` | No |
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| `output` | Optional output path for modified files (Tool mode only) | - | No |
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| `dst` | Optional destination path for the result, will substitute ${MODEL} and ${ROUTER} in the path. | - | No |
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| `model` | AI model to use for processing | `anthropic/claude-3.5-sonnet` | No |
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| `router` | Router to use: openai or openrouter | `openrouter` | No |
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| `mode` | Chat completion mode: "completion" (without tools) or "tools" | `tools` | No |
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## Advanced Parameters
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| Parameter | Description | Default | Required |
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|-----------|-------------|---------|----------|
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| `each` | Target directory | `.` | No |
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| `dry` | Dry run - only write out parameters without making API calls | `false` | No |
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## File Selection & Tools
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| Parameter | Description | Default | Required |
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|-----------|-------------|---------|----------|
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| `include` | Glob patterns to match files for processing. Supports multiple patterns, e.g. `--include=src/*.tsx,src/*.ts --include=package.json` | - | No |
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| `disable` | Disable tools categories | `[]` | No |
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| `disableTools` | List of specific tools to disable | `[]` | No |
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## Configuration & Profiles
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| Parameter | Description | Default | Required |
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|-----------|-------------|---------|----------|
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| `profile` | Path to profile for variables. Supports environment variables | `${POLYMECH-ROOT}/profile.json` | No |
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| `env` | Environment (in profile) | `default` | No |
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| `config` | Path to JSON configuration file (API keys). Supports environment variables | - | No |
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| `preferences` | Path to preferences file (location, email, gender, etc). Supports environment variables | `./.kbot/preferences.md` | No |
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## Debugging & Logging
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| Parameter | Description | Default | Required |
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|-----------|-------------|---------|----------|
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| `logLevel` | Logging level for the application (0-4) | `2` | No |
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| `logs` | Logging directory | `./.kbot` | No |
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| `dump` | Create a script | - | No |
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# Working on Larger Directories
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Since LLMs (Large Language Models) and providers are limited to very small 'context windows', it's necessary to feed them with smaller chunks instead. This document explains how to process larger directories efficiently.
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## Directory Processing Example
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Here's an example of how to walk through files and process them:
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```bash
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osr-cli each --main='kbot \"read ${KEY} and translate to german, save in docs/language code/filename.md\" --include=\"${REL}\" --include=\".kbot/preferences.md\"' --list="./docs/*.md" --cwd=.
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```
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### Parameter Explanation
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- `each`: Command to process multiple files iteratively
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- `--main`: The main command (`kbot`) to execute for each file
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- `--include=\"${REL}\"` instructs kbot to include the current selected path
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- `--include=\".kbot/preferences.md\"` instructs kbot to include additional preferences about the task (eg: translation specifics)
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- `--list`: Specifies the file pattern to match
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- Supports include patterns (e.g., `"./docs/*.md"`)
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- `--cwd`: Sets the current working directory for the command execution. Default is the current directory (`.`)
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**Note** requires `@plastichub/osr-cli-commons` to be installed globally:
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```bash
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npm i -g @plastichub/osr-cli-commons
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```
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@ -4,53 +4,86 @@ exports.createClient = void 0;
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const openai_1 = require("openai");
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const index_1 = require("./index");
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const config_1 = require("./config");
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/**
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* Default base URLs for different routers
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*/
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const ROUTER_BASE_URLS = {
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openrouter: 'https://openrouter.ai/api/v1',
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openai: '', // OpenAI uses default URL
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deepseek: 'https://api.deepseek.com',
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huggingface: 'https://api-inference.huggingface.co',
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ollama: 'http://localhost:11434', // Ollama's default local API endpoint
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fireworks: 'https://api.fireworks.ai/v1', // Fireworks API endpoint
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};
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/**
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* Default models for different routers
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*/
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const DEFAULT_MODELS = {
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openrouter: 'anthropic/claude-3.5-sonnet',
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openai: 'gpt-4o',
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deepseek: 'deepseek-chat',
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huggingface: 'meta-llama/2',
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ollama: 'leonard', // Default Ollama model
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fireworks: 'llama-v2-70b-chat', // Default Fireworks model
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};
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/**
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* Creates an OpenAI client instance based on the provided options.
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* @param options - Configuration options for the client
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* @returns OpenAI client instance or undefined if configuration is invalid
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*/
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const createClient = (options) => {
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// Load configuration from file
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const config = (0, config_1.loadConfig)(options);
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let apiKey = options.api_key;
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if (!config) {
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index_1.logger.error("Config not found in $HOME/.osr/config.json. " +
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"Optionally, export OSR_CONFIG with the path to the configuration file, ");
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return undefined;
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}
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const router = options.router ?? "openrouter";
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let baseURL = options.baseURL;
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if (!options.baseURL) {
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switch (router) {
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case "openrouter":
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apiKey = apiKey || config?.openrouter?.key;
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if (!options.baseURL) {
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baseURL = "https://openrouter.ai/api/v1";
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}
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break;
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case "openai":
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apiKey = apiKey || config?.openai?.key;
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break;
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case "deepseek":
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apiKey = apiKey || config?.deepseek?.key;
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if (!options.baseURL) {
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baseURL = "https://api.deepseek.com";
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}
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break;
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}
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}
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// Determine router to use (defaults to 'openzxWEOpenrouter')
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const router = (options.router ?? 'openzxWEOpenrouter');
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// Initialize AC<41> EI key and baseURL
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let apiKey = options.api_key;
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// Set API key based on router if not provided in options
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if (!apiKey) {
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switch (router) {
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case 'openrouter':
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apiKey = config?.openrouter?.key;
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break;
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case 'openai':
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apiKey = config?.openai?.key;
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break;
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case 'deepseek':
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apiKey = config?.deepseek?.key;
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break;
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case 'huggingface':
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apiKey = config?.huggingface?.key;
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break;
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case 'ollama':
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// Ollama doesn't require an API key when running locally
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apiKey = 'ollama'; // Dummy key for Ollama
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break;
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case 'fireworks':
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apiKey = config?.fireworks?.key;
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break;
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}
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}
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// Validate API key (escept for Ollama)
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if (!apiKey && router !== 'ollama') {
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index_1.logger.error(`No ${router} key found. Please provide an "api_key", set it in the config, or pass it via JSON config.`);
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return undefined;
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}
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if (router === "openrouter" && !options.model) {
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options.model = "anthropic/claude-3.5-sonnet";
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}
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if (router === "openai" && !options.model) {
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options.model = "gpt-4o";
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}
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if (router === "deepseek" && !options.model) {
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options.model = "deepseek-chat";
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// Set default baseURL if not provided
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const baseURL = options.baseURL ?? ROUTER_BASE_URLS[router];
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// Set default model if not provided
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if (!options.model) {
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options.model = DEFAULT_MODELS[router];
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}
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index_1.logger.info(`Creating client with ${router} router, model ${options.model}, and API key ${apiKey} at ${baseURL}`);
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// Create and return the OpenAI client instance
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return new openai_1.OpenAI({
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apiKey,
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baseURL,
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});
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};
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exports.createClient = createClient;
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