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# shellcheck disable=SC2034,SC2148

# Rename this file to .env once you have filled in the below environment variables!

# Get your GROQ API Key here -

# https://console.groq.com/keys

# You only need this environment variable set if you want to use Groq models

GROQ_API_KEY=

# Get your HuggingFace API Key here -

# https://huggingface.co/settings/tokens

# You only need this environment variable set if you want to use HuggingFace models

HuggingFace_API_KEY=

# Get your Open AI API Key by following these instructions -

# https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key

# You only need this environment variable set if you want to use GPT models

OPENAI_API_KEY=

# Get your Anthropic API Key in your account settings -

# https://console.anthropic.com/settings/keys

# You only need this environment variable set if you want to use Claude models

ANTHROPIC_API_KEY=

# Get your OpenRouter API Key in your account settings -

# https://openrouter.ai/settings/keys

# You only need this environment variable set if you want to use OpenRouter models

OPEN_ROUTER_API_KEY=

# Get your Google Generative AI API Key by following these instructions -

# https://console.cloud.google.com/apis/credentials

# You only need this environment variable set if you want to use Google Generative AI models

GOOGLE_GENERATIVE_AI_API_KEY=

# You only need this environment variable set if you want to use oLLAMA models

# DONT USE http://localhost:11434 due to IPV6 issues

# USE EXAMPLE http://127.0.0.1:11434

OLLAMA_API_BASE_URL=

# You only need this environment variable set if you want to use OpenAI Like models

OPENAI_LIKE_API_BASE_URL=

# You only need this environment variable set if you want to use Together AI models

TOGETHER_API_BASE_URL=

# You only need this environment variable set if you want to use DeepSeek models through their API

DEEPSEEK_API_KEY=

# Get your OpenAI Like API Key

OPENAI_LIKE_API_KEY=

# Get your Together API Key

TOGETHER_API_KEY=

# You only need this environment variable set if you want to use Hyperbolic models

HYPERBOLIC_API_KEY=

HYPERBOLIC_API_BASE_URL=

# Get your Mistral API Key by following these instructions -

# https://console.mistral.ai/api-keys/

# You only need this environment variable set if you want to use Mistral models

MISTRAL_API_KEY=

# Get the Cohere Api key by following these instructions -

# https://dashboard.cohere.com/api-keys

# You only need this environment variable set if you want to use Cohere models

COHERE_API_KEY=

# Get LMStudio Base URL from LM Studio Developer Console

# Make sure to enable CORS

# DONT USE http://localhost:1234 due to IPV6 issues

# Example: http://127.0.0.1:1234

LMSTUDIO_API_BASE_URL=

# Get your xAI API key

# https://x.ai/api

# You only need this environment variable set if you want to use xAI models

XAI_API_KEY=

# Get your Perplexity API Key here -

# https://www.perplexity.ai/settings/api

# You only need this environment variable set if you want to use Perplexity models

PERPLEXITY_API_KEY=

# Get your AWS configuration

# https://console.aws.amazon.com/iam/home

AWS_BEDROCK_CONFIG=

# Include this environment variable if you want more logging for debugging locally

VITE_LOG_LEVEL=

# Get your GitHub Personal Access Token here -

# https://github.com/settings/tokens

# This token is used for:

# 1. Importing/cloning GitHub repositories without rate limiting

# 2. Accessing private repositories

# 3. Automatic GitHub authentication (no need to manually connect in the UI)

# For classic tokens, ensure it has these scopes: repo, read:org, read:user

# For fine-grained tokens, ensure it has Repository and Organization access

VITE_GITHUB_ACCESS_TOKEN=

# Specify the type of GitHub token you're using

# Can be 'classic' or 'fine-grained'

# Classic tokens are recommended for broader access

VITE_GITHUB_TOKEN_TYPE=

# Netlify Authentication

VITE_NETLIFY_ACCESS_TOKEN=

# Example Context Values for qwen2.5-coder:32b

# DEFAULT_NUM_CTX=32768 # Consumes 36GB of VRAM

# DEFAULT_NUM_CTX=24576 # Consumes 32GB of VRAM

# DEFAULT_NUM_CTX=12288 # Consumes 26GB of VRAM

# DEFAULT_NUM_CTX=6144 # Consumes 24GB of VRAM

DEFAULT_NUM_CTX=