{"id":28899240,"url":"https://github.com/philippmos/taiste","last_synced_at":"2026-05-11T07:51:23.732Z","repository":{"id":294861380,"uuid":"988191859","full_name":"philippmos/tAIste","owner":"philippmos","description":"This project is a playground how to use Semantic Kernel with LLMs","archived":false,"fork":false,"pushed_at":"2025-05-29T06:52:48.000Z","size":40,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-29T07:49:14.950Z","etag":null,"topics":["dotnet","llm","mongodb","semantickernel"],"latest_commit_sha":null,"homepage":"","language":"C#","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/philippmos.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-05-22T07:30:45.000Z","updated_at":"2025-05-29T06:53:57.000Z","dependencies_parsed_at":"2025-05-29T07:49:17.235Z","dependency_job_id":null,"html_url":"https://github.com/philippmos/tAIste","commit_stats":null,"previous_names":["philippmos/semantickernel-playground","philippmos/semantic-kernel-playground","philippmos/taiste"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/philippmos/tAIste","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/philippmos%2FtAIste","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/philippmos%2FtAIste/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/philippmos%2FtAIste/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/philippmos%2FtAIste/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/philippmos","download_url":"https://codeload.github.com/philippmos/tAIste/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/philippmos%2FtAIste/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261088355,"owners_count":23107683,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["dotnet","llm","mongodb","semantickernel"],"created_at":"2025-06-21T08:08:44.625Z","updated_at":"2026-05-11T07:51:23.727Z","avatar_url":"https://github.com/philippmos.png","language":"C#","funding_links":[],"categories":[],"sub_categories":[],"readme":"# tAIste - Your Personalized AI Cooking Companion\n\n*tAIste* is an AI-powered recipe assistant designed to help users create personalized recipes, automatically generate shopping lists, and follow step-by-step cooking instructions – all tailored to individual preferences using the power of generative AI.\n\nBuilt with Microsoft's Semantic Kernel and OpenAI technologies, tAIste enables a fully dynamic and intelligent cooking experience.\n\n\n## Local LLM Setup with LM Studio\n\nThis project demonstrates how to use Semantic Kernel with local Large Language Models (LLMs) using LM Studio.\n\n### Setting Up LM Studio\n\n[LM Studio](https://lmstudio.ai) provides a desktop application for running various local LLMs.\n\n1. **Install LM Studio**\n    - Download and install from [lmstudio.ai](https://lmstudio.ai)\n\n2. **Configure LM Studio**\n    - Open LM Studio\n    - Browse and download a model (fe. `qwen2.5-7b-instruct-1m`)\n    - Select the model\n    - Go to the \"Developer\" tab\n    - Click \"Start Server\" to launch the OpenAI-compatible API on port 1234\n    - The server now runs on `http://localhost:1234/v1`\n\n\n## Start the local docker setup\n\n```bash\n    docker-compose up -d\n```\n\nThe docker-compose setup will handle all necessary dependencies and configurations automatically. Make sure [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your system before running these commands.\n\nAfter all services started successfully, Open-WebUI can be accessed via `http://localhost:8181`.\nThe model with name `dotnetapi` should already be automatically selected.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fphilippmos%2Ftaiste","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fphilippmos%2Ftaiste","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fphilippmos%2Ftaiste/lists"}