base on Local CLI Copilot, powered by Ollama. 💻🦙 # tlm - Local CLI Copilot, powered by Ollama. 💻🦙  [](https://sonarcloud.io/project/overview?id=yusufcanb_tlm) [](https://github.com/yusufcanb/tlm/releases) tlm is your CLI companion which requires nothing except your workstation. It uses most efficient and powerful open-source models like [Llama 3.3](https://ollama.com/library/llama3.3), [Phi4](https://ollama.com/library/phi4), [DeepSeek-R1](https://ollama.com/library/deepseek-r1), [Qwen](https://ollama.com/library/qwen2.5-coder) of your choice in your local environment to provide you the best possible command line assistance. | Get a suggestion | Explain a command | | -------------------------------- | -------------------------------- | |  |  | | Ask with context (One-liner RAG) | Configure your favorite model | | -------------------------------- | ------------------------------ | |  |  | ## Features - 💸 No API Key (Subscription) is required. (ChatGPT, Claude, Github Copilot, Azure OpenAI, etc.) - 📡 No internet connection is required. - 💻 Works on macOS, Linux and Windows. - 👩🏻‍💻 Automatic shell detection. (Powershell, Bash, Zsh) - 🚀 One liner generation and command explanation. - 🖺 No-brainer RAG (Retrieval Augmented Generation) - 🧠 Experiment any model. ([Llama3](https://ollama.com/library/llama3.3), [Phi4](https://ollama.com/library/phi4), [DeepSeek-R1](https://ollama.com/library/deepseek-r1), [Qwen](https://ollama.com/library/qwen2.5-coder)) with parameters of your choice. ## Installation Installation can be done in two ways; - [Installation script](#installation-script) (recommended) - [Go Install](#go-install) ### Installation Script Installation script is the recommended way to install tlm. It will recognize the which platform and architecture to download and will execute install command for you. #### Linux and macOS; Download and execute the installation script by using the following command; ```bash curl -fsSL https://raw.githubusercontent.com/yusufcanb/tlm/1.2/install.sh | sudo -E bash ``` #### Windows (Powershell 5.5 or higher) Download and execute the installation script by using the following command; ```powershell Invoke-RestMethod -Uri https://raw.githubusercontent.com/yusufcanb/tlm/1.2/install.ps1 | Invoke-Expression ``` ### Go Install If you have Go 1.22 or higher installed on your system, you can easily use the following command to install tlm; ```bash go install github.com/yusufcanb/[email protected] ``` You're ready! Check installation by using the following command; ```bash tlm ``` ## Usage ``` $ tlm NAME: tlm - terminal copilot, powered by open-source models. USAGE: tlm suggest "<prompt>" tlm s --model=qwen2.5-coder:1.5b --style=stable "<prompt>" tlm explain "<command>" # explain a command tlm e --model=llama3.2:1b --style=balanced "<command>" # explain a command with a overrided model tlm ask "<prompt>" # ask a question tlm ask --context . --include *.md "<prompt>" # ask a question with a context VERSION: 1.2 COMMANDS: ask, a Asks a question (beta) suggest, s Suggests a command. explain, e Explains a command. config, c Configures language model, style and shell version, v Prints tlm version. help, h Shows a list of commands or help for one command GLOBAL OPTIONS: --help, -h show help --version, -v print the version ``` ### Ask - Ask something with or without context Ask a question with context. Here is an example question with a context of this repositories Go files under ask package. ``` $ tlm ask --help NAME: tlm ask - Asks a question (beta) USAGE: tlm ask "<prompt>" # ask a question tlm ask --context . --include *.md "<prompt>" # ask a question with a context OPTIONS: --context value, -c value context directory path --include value, -i value [ --include value, -i value ] include patterns. e.g. --include=*.txt or --include=*.txt,*.md --exclude value, -e value [ --exclude value, -e value ] exclude patterns. e.g. --exclude=**/*_test.go or --exclude=*.pyc,*.pyd --interactive, --it enable interactive chat mode (default: false) --model value, -m value override the model for command suggestion. (default: qwen2 5-coder:3b) --help, -h show help ``` ### Suggest - Get Command by Prompt ``` $ tlm suggest --help NAME: tlm suggest - Suggests a command. USAGE: tlm suggest <prompt> tlm suggest --model=llama3.2:1b <prompt> tlm suggest --model=llama3.2:1b --style=<stable|balanced|creative> <prompt> DESCRIPTION: suggests a command for given prompt. COMMANDS: help, h Shows a list of commands or help for one command OPTIONS: --model value, -m value override the model for command suggestion. (default: qwen2.5-coder:3b) --style value, -s value override the style for command suggestion. (default: balanced) --help, -h show help ``` ### Explain - Explain a Command ``` $ tlm explain --help NAME: tlm explain - Explains a command. USAGE: tlm explain <command> tlm explain --model=llama3.2:1b <command> tlm explain --model=llama3.2:1b --style=<stable|balanced|creative> <command> DESCRIPTION: explains given shell command. COMMANDS: help, h Shows a list of commands or help for one command OPTIONS: --model value, -m value override the model for command suggestion. (default: qwen2.5-coder:3b) --style value, -s value override the style for command suggestion. (default: balanced) --help, -h show help ``` ## Uninstall On Linux and macOS; ```bash rm /usr/local/bin/tlm rm ~/.tlm.yml ``` On Windows; ```powershell Remove-Item -Recurse -Force "C:\Users\$env:USERNAME\AppData\Local\Programs\tlm" Remove-Item -Force "$HOME\.tlm.yml" ``` ", Assign "at most 3 tags" to the expected json: {"id":"8588","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"