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+ # Rename this file to .env once you have filled in the below environment variables!
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+
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+ # Get your GROQ API Key here -
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+ # https://console.groq.com/keys
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+ # You only need this environment variable set if you want to use Groq models
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+ GROQ_API_KEY=
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+
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+ # Get your HuggingFace API Key here -
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+ # https://huggingface.co/settings/tokens
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+ # You only need this environment variable set if you want to use HuggingFace models
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+ HuggingFace_API_KEY=
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+
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+
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+ # Get your Open AI API Key by following these instructions -
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+ # https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key
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+ # You only need this environment variable set if you want to use GPT models
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+ OPENAI_API_KEY=
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+
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+ # Get your Anthropic API Key in your account settings -
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+ # https://console.anthropic.com/settings/keys
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+ # You only need this environment variable set if you want to use Claude models
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+ ANTHROPIC_API_KEY=
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+
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+ # Get your OpenRouter API Key in your account settings -
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+ # https://openrouter.ai/settings/keys
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+ # You only need this environment variable set if you want to use OpenRouter models
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+ OPEN_ROUTER_API_KEY=
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+
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+ # Get your Google Generative AI API Key by following these instructions -
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+ # https://console.cloud.google.com/apis/credentials
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+ # You only need this environment variable set if you want to use Google Generative AI models
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+ GOOGLE_GENERATIVE_AI_API_KEY=
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+
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+ # You only need this environment variable set if you want to use oLLAMA models
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+ # DONT USE http://localhost:11434 due to IPV6 issues
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+ # USE EXAMPLE http://127.0.0.1:11434
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+ OLLAMA_API_BASE_URL=
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+
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+ # You only need this environment variable set if you want to use OpenAI Like models
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+ OPENAI_LIKE_API_BASE_URL=
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+
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+ # You only need this environment variable set if you want to use Together AI models
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+ TOGETHER_API_BASE_URL=
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+
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+ # You only need this environment variable set if you want to use DeepSeek models through their API
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+ DEEPSEEK_API_KEY=
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+
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+ # Get your OpenAI Like API Key
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+ OPENAI_LIKE_API_KEY=
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+
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+ # Get your Together API Key
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+ TOGETHER_API_KEY=
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+
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+ # You only need this environment variable set if you want to use Hyperbolic models
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+ #Get your Hyperbolics API Key at https://app.hyperbolic.xyz/settings
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+ #baseURL="https://api.hyperbolic.xyz/v1/chat/completions"
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+ HYPERBOLIC_API_KEY=
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+ HYPERBOLIC_API_BASE_URL=
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+
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+ # Get your Mistral API Key by following these instructions -
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+ # https://console.mistral.ai/api-keys/
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+ # You only need this environment variable set if you want to use Mistral models
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+ MISTRAL_API_KEY=
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+
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+ # Get the Cohere Api key by following these instructions -
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+ # https://dashboard.cohere.com/api-keys
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+ # You only need this environment variable set if you want to use Cohere models
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+ COHERE_API_KEY=
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+
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+ # Get LMStudio Base URL from LM Studio Developer Console
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+ # Make sure to enable CORS
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+ # DONT USE http://localhost:1234 due to IPV6 issues
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+ # Example: http://127.0.0.1:1234
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+ LMSTUDIO_API_BASE_URL=
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+
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+ # Get your xAI API key
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+ # https://x.ai/api
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+ # You only need this environment variable set if you want to use xAI models
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+ XAI_API_KEY=
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+
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+ # Get your Perplexity API Key here -
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+ # https://www.perplexity.ai/settings/api
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+ # You only need this environment variable set if you want to use Perplexity models
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+ PERPLEXITY_API_KEY=
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+
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+ # Get your AWS configuration
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+ # https://console.aws.amazon.com/iam/home
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+ # The JSON should include the following keys:
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+ # - region: The AWS region where Bedrock is available.
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+ # - accessKeyId: Your AWS access key ID.
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+ # - secretAccessKey: Your AWS secret access key.
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+ # - sessionToken (optional): Temporary session token if using an IAM role or temporary credentials.
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+ # Example JSON:
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+ # {"region": "us-east-1", "accessKeyId": "yourAccessKeyId", "secretAccessKey": "yourSecretAccessKey", "sessionToken": "yourSessionToken"}
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+ AWS_BEDROCK_CONFIG=
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+
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+ # Include this environment variable if you want more logging for debugging locally
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+ VITE_LOG_LEVEL=debug
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+
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+ # Example Context Values for qwen2.5-coder:32b
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+ #
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+ # DEFAULT_NUM_CTX=32768 # Consumes 36GB of VRAM
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+ # DEFAULT_NUM_CTX=24576 # Consumes 32GB of VRAM
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+ # DEFAULT_NUM_CTX=12288 # Consumes 26GB of VRAM
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+ # DEFAULT_NUM_CTX=6144 # Consumes 24GB of VRAM
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+ DEFAULT_NUM_CTX=