RoostGPT AI Keys Requirements

AI Configuration Keys 

 This document provides the required environment variables for configuring different AI providers. 

 

 1. OpenAI Configuration 

 Required Environment Variables 

 

 

 

 Variable Name 

 Required 

 Description 

 

 

 

 

 OPENAI_API_KEY 

 Yes 

 Your OpenAI API key 

 

 

 OPENAI_API_MODEL 

 Yes 

 Model to use  

 

 

 

 Configuration Example 

 OPENAI_API_KEY=sk-proj-xxxxxxxxxxxxxxxxxxxx

OPENAI_API_MODEL=gpt-4o 

 

 2. Google Gemini Configuration 

 Required Environment Variables 

 

 

 

 Variable Name 

 Required 

 Description 

 

 

 

 

 GEMINI_API_KEY 

 Yes 

 Your Google AI Studio API key for accessing Gemini models 

 

 

 GEMINI_MODEL 

 Yes 

 Gemini model to use. Options: gemini-pro , gemini-pro-vision , gemini-ultra , etc. 

 

 

 

 Configuration Example 

 GEMINI_API_KEY=AIzaSyxxxxxxxxxxxxxxxxxxxxxxxxxx

GEMINI_MODEL=gemini-pro 

 

 3. AWS Bedrock Configuration 

 Required Environment Variables 

 

 

 

 Variable Name 

 Required 

 Description 

 

 

 

 

 AWS_BEDROCK_MODEL 

 Yes 

 Model ID to use. Examples: anthropic.claude-v2 , anthropic.claude-3-sonnet-20240229-v1:0 , amazon.titan-text-express-v1 

 

 

 AWS_DEFAULT_REGION 

 Yes 

 AWS region where Bedrock is available. Examples: us-east-1 , us-west-2 , eu-west-1 

 

 

 AWS_ACCESS_KEY_ID 

 Yes 

 AWS access key ID for authentication 

 

 

 AWS_SECRET_ACCESS_KEY 

 Yes 

 AWS secret access key for authentication 

 

 

 

 Configuration Example 

 AWS_BEDROCK_MODEL=anthropic.claude-3-sonnet-20240229-v1:0

AWS_DEFAULT_REGION=us-east-1

AWS_ACCESS_KEY_ID=AKIAIOSFODNN7EXAMPLE

AWS_SECRET_ACCESS_KEY=wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY 

 Important Notes 

 

 Model availability varies by region. Check AWS Bedrock documentation for supported models in your region. 

 You may need to request model access through the AWS Bedrock console before using certain models. 

 Ensure your IAM user has necessary permissions for bedrock:InvokeModel action. 

 

 

 4. Claude AI Configuration 

 Required Environment Variables 

 

 

 

 Variable Name 

 Required 

 Description 

 

 

 

 

 CLAUDE_AI_API_KEY 

 Yes 

 Your Anthropic API key for accessing Claude models 

 

 

 CLAUDE_AI_MODEL 

 Yes 

 Claude model to use. Examples: claude-3-opus-20240229 , claude-3-sonnet-20240229 , claude-3-haiku-20240307 , claude-2.1 , claude-2.0 

 

 

 

 Configuration Example 

 CLAUDE_AI_API_KEY=sk-ant-api03-xxxxxxxxxxxxxxxxxxxxxxxxxx

CLAUDE_AI_MODEL=claude-3-sonnet-20240229 

 

 5. Azure OpenAI Configuration 

 Required Environment Variables 

 

 

 

 Variable Name 

 Required 

 Description 

 

 

 

 

 AZURE_OPENAI_ENDPOINT 

 Yes 

 Your Azure OpenAI resource endpoint URL (e.g., https://your-resource.openai.azure.com/ ) 

 

 

 AZURE_DEPLOYMENT_NAME 

 Yes 

 Name of your deployed model in Azure OpenAI Studio (e.g., gpt-4-deployment , gpt-35-turbo-deployment ) 

 

 

 AZURE_OPENAI_KEY 

 Yes 

 API key for your Azure OpenAI resource (Key 1 or Key 2 from Azure portal) 

 

 

 

 Configuration Example 

 AZURE_OPENAI_ENDPOINT=https://your-resource-name.openai.azure.com/

AZURE_DEPLOYMENT_NAME=gpt-4-deployment

AZURE_OPENAI_KEY=1234567890abcdef1234567890abcdef 

 Important Notes 

 

 Azure OpenAI requires approval. Apply for access if you haven't already. 

 Model availability varies by region. Choose your region based on available models. 

 Deployment names are custom - you choose them when deploying models in Azure OpenAI Studio. 

 The endpoint URL should end with a trailing slash ( / ).