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	* feat: Integrate AWS Bedrock with Claude 3.5 Sonnet, Claude 3 Sonnet, and Claude 3.5 Haiku * update Dockerfile for AWS Bedrock configuration * feat: add new Bedrock model 'Mistral' and update Haiku to version 3 * feat: add new bedrock model Nova Lite and Nova Pro * Update README documentation to reflect the latest changes * Add the icon for aws bedrock * add support for serialized AWS Bedrock configuration in api key
		
			
				
	
	
		
			107 lines
		
	
	
		
			3.9 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
			
		
		
	
	
			107 lines
		
	
	
		
			3.9 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
# Rename this file to .env once you have filled in the below environment variables!
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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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# 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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# 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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# 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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# 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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# 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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# 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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# 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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# 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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# 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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# Get your OpenAI Like API Key
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OPENAI_LIKE_API_KEY=
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# Get your Together API Key
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TOGETHER_API_KEY=
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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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# 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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# 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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# 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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# 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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# 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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# 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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# Include this environment variable if you want more logging for debugging locally
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VITE_LOG_LEVEL=debug
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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=
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