AI Assist

Context Aware AI assistant for coding, chat, code explanation, review with supporting local and online language models.

AIAssist is compatible with OpenAI and Azure AI Services through apis and Ollama models through ollama engine locally.

Tip

You can use ollama and its models that are more compatible with code like deepseek-v2.5 or qwen2.5-coder locally. To use local models, you will need to run Ollama process first. For running ollama you can use ollama docker container.

Note

Development of vscode and jetbrains plugins are in the plan and I will add them soon.

Features

• ✅ Context Aware ai code assistant through ai embeddings which is based on Retrieval Augmented Generation (RAG) or tree-sitter application summarization to summarize application context and understanding by AI.
• ✅ Support different result formats, like Unified Diff Format, Code Block Format and Search-Replace Format.
• ✅ Code assistant for developing new features, finding bugs, refactor and review existing code base.
• ✅ Chat mode for chatting with different local and online AI models through terminal.
• ✅ Support local ollama models and OpenAI and Azure AI Service models.
• ✅ Support multiple code languages like C#, Java, go,...
• ✅ Syntax highlighting for showing code blocks and using md format for ai results with capability of changing theme like dracula theme or vscode light theme.
• ✅ Defining a dedicated ignore file for AIAssist through a .aiassistignore for excluding files and folders that you want to exclude from code assist process and decreasing final token size.
• ✅ Customize configuration through creating aiassist-config.json running directory for aiassist and a format like predefined aiassist-config.json.
• ✅ Showing token usage count and calculated priced based on each model input token and output token price.
• ✅ Customize models information with creating a customized models information through ModelsInformationOptions section in the aiassist-config.json and a format like predefined models information.
• ✅ Customize models options through ModelsOptions section in the aiassist-config.json and a format like predefined models options.
• ✅ Terminal main commands like aiassist code, aiassist chat, aiassist explain and support some internal commands like :clear, :add-file, :clear-history, :token, ...

Get Started

AIAssist uses Azure AI Services or OpenAI apis by default. For using OpenAI or Azure AI apis we need to have a ApiKey.

• Install aiassist with dotnet tool install and bellow command:

TODO: Add Nuget Soon

• For OpenAI If you don't have a API key you can sign up in OpenAI and get a ApiKey.
• For Azure AI service you can signup a azure account and get a AI model API key.
• After getting Api key we should set API key for chat and embedding models through environment variable or command options.
• Now got to project directory with cd command in terminal, For running aiassist and setting api key.

# Go to project directory
cd /to/project/directory

• Set Api Key through environment variable:

Linux terminal:

export CHAT_MODEL_API_KEY=your-chat-api-key-here
export EMBEDDINGS_MODEL_API_KEY=your-embedding-api-key-here

Windows Powershell Terminal:

$env:CHAT_MODEL_API_KEY=your-chat-api-key-here
$env:EMBEDDINGS_MODEL_API_KEY=your-embedding-api-key-here

• Or set Api Key through command option:

aiassist code --chat-api-key your-chat-api-key-here  --embeddings-api-key your-embedding-api-key-here

• If you are using AI models that need ApiVersion, DeploymentId and BaseAddress like Azure AI Service models, you can set them by environment variable or command options.
• Set ApiVersion, DeploymentId and BaseAddress throughenvironment variable:

Linux terminal:

export CHAT_BASE_ADDRESS=your-chat-base-address-here
export CHAT_API_VERSION=your-chat-api-version-here
export CHAT_DEPLOYMENT_ID=your-chat-deployment-id-here
export EMBEDDINGS_BASE_ADDRESS=your-embedding-base-address-here
export EMBEDDINGS_API_VERSION=your-embedding-api-version-here
export EMBEDDINGS_DEPLOYMENT_ID=your-embedding-deployment-id-here

Windows Powershell Terminal:

$env:CHAT_BASE_ADDRESS=your-chat-base-address-here
$env:CHAT_API_VERSION=your-chat-api-version-here
$env:CHAT_DEPLOYMENT_ID=your-chat-deployment-id-here
$env:EMBEDDINGS_BASE_ADDRESS=your-embedding-base-address-here
$env:EMBEDDINGS_API_VERSION=your-embedding-api-version-here
$env:EMBEDDINGS_DEPLOYMENT_ID=your-embedding-deployment-id-here

• Or set ApiVersion, DeploymentId and BaseAddress through command option:

aiassist code --chat-base-address your-chat-base-address-here --chat-api-version your-chat-api-version-here  --chat-deployment-id your-chat-deployment-id-here  --embeddings-base-address your-embeddings-base-address-here  --embeddings-api-version your-embeddings-api-version-here  --embeddings-deployment-id your-embeddings-deployment-id-here

• Now run the ai assistant with aiassist command.

# run aiassist in code assistant mode.
aiassist code

⭐ Support

If you like feel free to ⭐ this repository, It helps out :)

Thanks a bunch for supporting me!

Contribution

The application is in development status. You are feel free to submit a pull request or create an issue for any bugs or suggestions.

License

The project is under Apache-2.0 license.