{"schema_version":"onlylabs.public_analysis_evidence.v1","title":"Groq analysis evidence pack","description":"Public onlylabs evidence pack for cited agent analysis: captured pages, ranked public signals, and stored web-search provenance used by the background analysis workflow.","url":"https://onlylabs.fyi/labs/groq","json_url":"https://onlylabs.fyi/analysis/groq/evidence.json","generated_at":"2026-06-11T18:06:26.430Z","org":{"slug":"groq","name":"Groq","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/groq"},"analysis":null,"workflow":{"version":"onlylabs-deepagents-analysis-v3","provider":null,"model":null,"agent":null,"public_pack_mode":"local-pages-and-events","live_web_fetches":false,"note":"Public evidence exports do not trigger live Exa calls; stored Exa provenance is included when analysis metadata contains it."},"stats":{"pages":28,"events":86,"web":0,"evidence":88,"signal_desks":{"hiring":0,"forks":12,"releases":21,"talking":0,"repos":27},"data_radar_lanes":null,"data_radar_matches":null,"stored_analysis_evidence":null,"stored_analysis_web":null,"stored_analysis_signal_desks":null,"stored_analysis_data_radar_lanes":null,"stored_analysis_data_radar_matches":null},"stored_web_provenance":null,"evidence":[{"ref":"P1","kind":"page","title":"groq/marge-bot repository metadata","date":"2026-06-11T04:19:35.586625+00:00","date_source":null,"source_url":"https://github.com/groq/marge-bot","signal_url":null,"signal_json_url":null,"text":"# groq/marge-bot\n\nLanguage: Python\n\nLicense: BSD-3-Clause\n\nStars: 1\n\nForks: 3\n\nOpen issues: 0\n\nCreated: 2019-11-06T17:43:28Z\n\nPushed: 2022-07-07T23:56:33Z\n\nDefault branch: master\n\nFork: yes\n\nParent repository: bsima/marge-bot\n\nArchived: yes\n\nREADME:\n[![build status](https://travis-ci.org/smarkets/marge-bot.png?branch=master)](https://travis-ci.org/smarkets/marge-bot)\n\n# Marge-bot\n\nMarge-bot is a merge-bot for GitLab that, beside other goodies,\nimplements\n[the Not Rocket Science Rule Of Software Engineering:](http://graydon2.dreamwidth.org/1597.html)\n\n> automatically maintain a repository of code that always passes all the tests.\n\n— Graydon Hoare, main author of Rust\n\nThis simple rule of thumb is still nowadays surprisingly difficult to implement\nwith the state-of-the-art tools, and more so in a way that scales with team size\n(also see our [blog\npost](https://smarketshq.com/marge-bot-for-gitlab-keeps-master-always-green-6070e9d248df)).\n\nTake, for instance, GitHub's well-known\n[pull-request workflow](https://help.github.com/categories/collaborating-with-issues-and-pull-requests).\nHere, CI needs to pass on the branch before the pull request can be accepted but\nafter that, the branch is immediately merged (or rebased) into master. By the\ntime this happens, enough changes may have occurred to induce test breakage, but\nthis is only to be found out when the commits have already landed.\n\nGitLab (in their [enterprise edition](https://about.gitlab.com/products/)),\noffers an important improvement here with\ntheir\n[semi-linear history and fast-forward](https://docs.gitlab.com/ee/user/project/merge_requests/) merge\nrequest methods: in both cases a merge request can only be accepted if the\nresulting master branch will be effectively the same as the merge request branch\non which CI has passed. If master has changed since the tests were last ran, it\nis the *user's responsibility* to rebase the changes and retry. But this just\ndoesn't scale: if you have, a mono-repo, a large team working on short-lived\nbranches, a CI pipeline that takes 5-10 minutes to complete... then the number\nof times one need's to rebase-and-try-to-accept starts to become unbearable.\n\nMarge-bot offers the si"},{"ref":"P2","kind":"page","title":"groq/nix repository metadata","date":"2026-06-11T04:10:40.165957+00:00","date_source":null,"source_url":"https://github.com/groq/nix","signal_url":null,"signal_json_url":null,"text":"# groq/nix\n\nDescription: groq nix fork\n\nLanguage: C++\n\nLicense: LGPL-2.1\n\nStars: 2\n\nForks: 3\n\nOpen issues: 0\n\nCreated: 2022-01-07T22:20:18Z\n\nPushed: 2022-01-19T21:54:02Z\n\nDefault branch: czawistowski/squash-logging\n\nFork: no\n\nArchived: yes\n\nREADME:\n[![Open Collective supporters](https://opencollective.com/nixos/tiers/supporter/badge.svg?label=Supporters&color=brightgreen)](https://opencollective.com/nixos)\n\nNix, the purely functional package manager\n------------------------------------------\n\nNix is a new take on package management that is fairly unique. Because of its\npurity aspects, a lot of issues found in traditional package managers don't\nappear with Nix.\n\nTo find out more about the tool, usage and installation instructions, please\nread the manual, which is available on the Nix website at\n.\n\n## Contributing\n\nTake a look at the [Hacking Section](http://nixos.org/nix/manual/#chap-hacking)\nof the manual. It helps you to get started with building Nix from source.\n\n## License\n\nNix is released under the LGPL v2.1\n\nThis product includes software developed by the OpenSSL Project for\nuse in the [OpenSSL Toolkit](http://www.OpenSSL.org/)."},{"ref":"P3","kind":"page","title":"groq/groqflow repository metadata","date":"2026-06-11T04:10:39.787185+00:00","date_source":null,"source_url":"https://github.com/groq/groqflow","signal_url":null,"signal_json_url":null,"text":"# groq/groqflow\n\nDescription: GroqFlow provides an automated tool flow for compiling machine learning and linear algebra workloads into Groq programs and executing those programs on GroqChip™ processors.\n\nLanguage: Python\n\nLicense: MIT\n\nStars: 119\n\nForks: 21\n\nOpen issues: 5\n\nCreated: 2022-08-08T23:46:56Z\n\nPushed: 2025-07-31T14:57:28Z\n\nDefault branch: main\n\nFork: no\n\nArchived: yes\n\nREADME:\n# GroqFlow 🚀\n\nGroqFlow™ is the easiest way to get started with Groq's technology. GroqFlow provides an automated workflow for compiling Machine Learning, Artifical Intelligence, and High-Performance Computing workloads into Groq programs and executing those programs on the Groq Language Processing Unit™ (LPU).\n\n---\n\n## System Requirements\n\nTo begin, we recommend that your system meets the following software and hardware requirements:\n\n- Ubuntu 22.04 or Rocky 8.4 Linux distribution.\n- 32GB RAM (or more) to build models.\n- 8 LPUs (especially for larger models) to run models.\n- GroqWare Suite™ version >=0.9.2.1 installation*:\n- Groq Developer Tools Package (groq-devtools) for building and compiling models.\n- Groq Runtime Package (groq-runtime) for running compiled models on Groq hardware.\n\n*For information on how to install GroqWare Suite on your system, create an account on our [portal](https://support.groq.com/) and view the [GroqWare Quick Start Guide](https://support.groq.com/#/downloads/view/groqware-qsg) for installation instructions.\n\n---\n\n## Navigating GroqFlow\n\n* [Documentation](docs/): All GroqFlow documentation, including the installation guide, user guide, known issues, and versioning.\n\n* [Examples](examples/): Includes various GroqFlow examples.\n\n* [GroqFlow](groqflow/): The source code for the `groqflow` package.\n\n* [Proof Points](proof_points/): Machine learning proof points using GroqFlow.\n\n* [README.md](readme.md): This README.\n\n---\n\n## Contributors\n\nGroqFlow development is primarily conducted within Groq's internal repo and is periodically synced to GitHub. This approach means that developer contributions are not immediately obvious in the commit log.\n\nThis project follows the [all-contributors](https://allcontributors.org) specification.\nContributions of any ki"},{"ref":"P4","kind":"page","title":"groq/deployment repository metadata","date":"2026-06-11T04:10:39.756007+00:00","date_source":null,"source_url":"https://github.com/groq/deployment","signal_url":null,"signal_json_url":null,"text":"# groq/deployment\n\nDescription: This repository includes various scripts and playbooks that can help users with setting up Groq systems and software.\n\nLicense: MIT\n\nStars: 10\n\nForks: 6\n\nOpen issues: 0\n\nCreated: 2022-10-13T16:51:11Z\n\nPushed: 2023-10-20T18:30:20Z\n\nDefault branch: main\n\nFork: no\n\nArchived: yes\n\nREADME:\n# Groq Deployment Tools\nThis repository includes various scripts and playbooks that can help users with setting up Groq systems and software. \n\n## Docker\nThis directory containes instructions and sample Dockerfiles to build containers that contain the GroqWare development suite to test and explore the tools.\n\nThe following are included:\n- [Dockerfile.rocky](https://github.com/groq/deployment/tree/main/docker/Dockerfile.rocky) to create a Rocky 8 docker container with Groq's Developer Package included.\n- [Dockerfile.ubuntu](https://github.com/groq/deployment/tree/main/docker/Dockerfile.ubuntu) to create an Ubuntu 22.04 docker container with Groq's Developer Package included. \n\n**Note:** both of these will require the appropriate Groq developer packages (deb or rpm), which can be requested from Groq's [Customer Portal](https://support.groq.com)."},{"ref":"P5","kind":"page","title":"groq/groq-python repository metadata","date":"2026-06-11T04:10:39.585616+00:00","date_source":null,"source_url":"https://github.com/groq/groq-python","signal_url":null,"signal_json_url":null,"text":"# groq/groq-python\n\nDescription: The official Python Library for the Groq API\n\nLanguage: Python\n\nLicense: Apache-2.0\n\nStars: 606\n\nForks: 59\n\nOpen issues: 5\n\nCreated: 2024-02-14T22:48:15Z\n\nPushed: 2026-06-03T14:31:01Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Groq Python API library\n\n\n[![PyPI version](https://img.shields.io/pypi/v/groq.svg?label=pypi%20(stable))](https://pypi.org/project/groq/)\n\nThe Groq Python library provides convenient access to the Groq REST API from any Python 3.10+\napplication. The library includes type definitions for all request params and response fields,\nand offers both synchronous and asynchronous clients powered by [httpx](https://github.com/encode/httpx).\n\nIt is generated with [Stainless](https://www.stainless.com/).\n\n## Documentation\n\nThe REST API documentation can be found on [console.groq.com](https://console.groq.com/docs). The full API of this library can be found in [api.md](api.md).\n\n## Installation\n\n```sh\n# install from PyPI\npip install groq\n```\n\n## Usage\n\nThe full API of this library can be found in [api.md](api.md).\n\n```python\nimport os\nfrom groq import Groq\n\nclient = Groq(\napi_key=os.environ.get(\"GROQ_API_KEY\"), # This is the default and can be omitted\n)\n\nchat_completion = client.chat.completions.create(\nmessages=[\n{\n\"role\": \"user\",\n\"content\": \"Explain the importance of low latency LLMs\",\n}\n],\nmodel=\"openai/gpt-oss-20b\",\n)\nprint(chat_completion.choices[0].message.content)\n```\n\nWhile you can provide an `api_key` keyword argument,\nwe recommend using [python-dotenv](https://pypi.org/project/python-dotenv/)\nto add `GROQ_API_KEY=\"My API Key\"` to your `.env` file\nso that your API Key is not stored in source control.\n\n## Async usage\n\nSimply import `AsyncGroq` instead of `Groq` and use `await` with each API call:\n\n```python\nimport os\nimport asyncio\nfrom groq import AsyncGroq\n\nclient = AsyncGroq(\napi_key=os.environ.get(\"GROQ_API_KEY\"), # This is the default and can be omitted\n)\n\nasync def main() -> None:\nchat_completion = await client.chat.completions.create(\nmessages=[\n{\n\"role\": \"user\",\n\"content\": \"Explain the importance of low latency LLMs\",\n}\n],\nmodel=\"openai/gpt-oss-20b\",\n)\nprint(chat_comp"},{"ref":"P6","kind":"page","title":"groq/mlagility repository metadata","date":"2026-06-11T04:10:39.550015+00:00","date_source":null,"source_url":"https://github.com/groq/mlagility","signal_url":null,"signal_json_url":null,"text":"# groq/mlagility\n\nDescription: Machine Learning Agility (MLAgility) benchmark and benchmarking tools\n\nLanguage: Python\n\nLicense: MIT\n\nStars: 40\n\nForks: 12\n\nOpen issues: 1\n\nCreated: 2023-01-25T18:48:21Z\n\nPushed: 2025-07-31T14:57:30Z\n\nDefault branch: main\n\nFork: no\n\nArchived: yes\n\nREADME:\n# The MLAgility Project\n\n[![MLAgility tests](https://github.com/groq/mlagility/actions/workflows/test_mlagility.yml/badge.svg)](https://github.com/groq/mlagility/tree/main/test \"Check out our tests\")\n[![onnxflow tests](https://github.com/groq/mlagility/actions/workflows/test_onnxflow.yml/badge.svg)](https://github.com/groq/mlagility/tree/main/test \"Check out our tests\")\n[![MLAgility GPU tests](https://github.com/groq/mlagility/actions/workflows/test_gpu_mlagility.yml/badge.svg)](https://github.com/groq/mlagility/tree/main/test \"Check out our tests\")\n[![OS - Linux](https://img.shields.io/badge/OS-Linux-blue?logo=linux&logoColor=white)](https://github.com/groq/mlagility/blob/main/docs/install.md \"Check out our instructions\")\n[![Made with Python](https://img.shields.io/badge/Python-3.8,3.10-blue?logo=python&logoColor=white)](https://github.com/groq/mlagility/blob/main/docs/install.md \"Check out our instructions\")\n[![License](https://img.shields.io/badge/License-MIT-blue)](https://github.com/groq/mlagility/blob/main/LICENSE \"Check out our license\")\n\nMLAgility offers a complementary approach to MLPerf by examining the capability of vendors to provide turnkey solutions to a corpus of hundreds of off-the-shelf models. All of the model scripts and benchmarking code are published as open source software. The performance data is available at our [Huggingface Space](https://huggingface.co/spaces/Groq/mlagility).\n\n## Benchmarking Tool\n\nOur _benchit_ CLI allows you to benchmark Pytorch models without changing a single line of code. The demo below shows BERT-Base being benchmarked on both Nvidia A100 and Intel Xeon. For more information, check out our [Tutorials](https://github.com/groq/mlagility/blob/main/examples/cli/readme.md) and [Tools User Guide](https://github.com/groq/mlagility/blob/main/docs/tools_user_guide.md).\n\n)](https://npmjs.org/package/groq-sdk) ![npm bundle size](https://img.shields.io/bundlephobia/minzip/groq-sdk)\n\nThis library provides convenient access to the Groq REST API from server-side TypeScript or JavaScript.\n\nThe REST API documentation can be found on [console.groq.com](https://console.groq.com/docs). The full API of this library can be found in [api.md](api.md).\n\nIt is generated with [Stainless](https://www.stainless.com/).\n\n## Installation\n\n```sh\nnpm install groq-sdk\n```\n\n## Usage\n\nThe full API of this library can be found in [api.md](api.md).\n\n\n```js\nimport Groq from 'groq-sdk';\n\nconst client = new Groq({\napiKey: process.env['GROQ_API_KEY'], // This is the default and can be omitted\n});\n\nconst chatCompletion = await client.chat.completions.create({\nmessages: [{ role: 'user', content: 'Explain the importance of low latency LLMs' }],\nmodel: 'openai/gpt-oss-20b',\n});\n\nconsole.log(chatCompletion.id);\n```\n\n### Request & Response types\n\nThis library includes TypeScript definitions for all request params and response fields. You may import and use them like so:\n\n\n```ts\nimport Groq from 'groq-sdk';\n\nconst client = new Groq({\napiKey: process.env['GROQ_API_KEY'], // This is the default and can be omitted\n});\n\nconst params: Groq.Chat.CompletionCreateParams = {\nmessages: [\n{ role: 'system', content: 'You are a helpful assistant.' },\n{ role: 'user', content: 'Explain the importance of low latency LLMs' },\n],\nmodel: 'openai/gpt-oss-20b',\n};\nconst chatCompletion: Groq.Chat.ChatCompletion = await client.chat.completions.create(params);\n```\n\nDocumentation for each method, request param, and response field are available in docstrings and will appear on hover in most modern editors.\n\n## File uploads\n\nRequest parameters that c"},{"ref":"P8","kind":"page","title":"groq/groq-aisdk-chatbot repository metadata","date":"2026-06-11T04:10:39.000436+00:00","date_source":null,"source_url":"https://github.com/groq/groq-aisdk-chatbot","signal_url":null,"signal_json_url":null,"text":"# groq/groq-aisdk-chatbot\n\nDescription: Sample chatbot app using groq inference, ai sdk, shadcn ui components and tailwind\n\nLanguage: TypeScript\n\nLicense: NOASSERTION\n\nStars: 26\n\nForks: 7\n\nOpen issues: 4\n\nCreated: 2024-06-01T14:58:17Z\n\nPushed: 2025-12-15T16:51:14Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n\n\"Next.js\n

Next.js AI Chatbot

\n\n\n

\nAn open-source AI chatbot app template built with Next.js, the Vercel AI SDK, OpenAI, and Vercel KV.\n

\n\n

\nFeatures ·\nModel Providers ·\nDeploy Your Own ·\nRunning locally ·\nAuthors\n

\n
\n\n## Features\n\n- [Next.js](https://nextjs.org) App Router\n- React Server Components (RSCs), Suspense, and Server Actions\n- [Vercel AI SDK](https://sdk.vercel.ai/docs) for streaming chat UI\n- Support for OpenAI (default), Anthropic, Cohere, Hugging Face, or custom AI chat models and/or LangChain\n- [shadcn/ui](https://ui.shadcn.com)\n- Styling with [Tailwind CSS](https://tailwindcss.com)\n- [Radix UI](https://radix-ui.com) for headless component primitives\n- Icons from [Phosphor Icons](https://phosphoricons.com)\n- Chat History, rate limiting, and session storage with [Vercel KV](https://vercel.com/storage/kv)\n- [NextAuth.js](https://github.com/nextauthjs/next-auth) for authentication\n\n## Model Providers\n\nThis template ships with OpenAI `gpt-3.5-turbo` as the default. However, thanks to the [Vercel AI SDK](https://sdk.vercel.ai/docs), you can switch LLM providers to [Anthropic](https://anthropic.com), [Cohere](https://cohere.com/), [Hugging Face](https://huggingface.co), or using [LangChain](https://js.langchain.com) with just a few lines of code.\n\n## Deploy Your Own\n\nYou can deploy your own version of the Next.js AI Chatbot to Vercel with one click:\n\n[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new"},{"ref":"P9","kind":"page","title":"groq/groq-api-cookbook repository metadata","date":"2026-06-11T04:10:38.826365+00:00","date_source":null,"source_url":"https://github.com/groq/groq-api-cookbook","signal_url":null,"signal_json_url":null,"text":"# groq/groq-api-cookbook\n\nDescription: groq-api-cookbook\n\nLanguage: Jupyter Notebook\n\nStars: 1371\n\nForks: 290\n\nOpen issues: 10\n\nCreated: 2024-03-25T15:19:21Z\n\nPushed: 2025-11-25T17:18:30Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n

\n
\n\"Groq\n
\n
\nGroq API Cookbook\n
\n

\n\n

\nGetting Started •\nTutorials •\nQuestions •\nBug Reporting •\nContributing\n

\n
\n\n## Getting started\nThis repository contains a collection of tutorials, sample code, and guidelines for accomplishing tasks with Groq API. To run these examples, you'll need a Groq API key that you can get for free by creating an account [here](https://console.groq.com/). Are you ready to cook? 🚀 \n\n## Tutorials\n\n### 01. Getting Started & Quickstart\n- [Groq Quickstart Conversational Chatbot](/tutorials/01-quickstart/groq-quickstart-conversational-chatbot): Build your first conversational chatbot with Groq.\n- [Chat History Management](/tutorials/01-quickstart/chat-history): Learn how to manage and persist chat history in your AI applications.\n- [Batch Processing](/tutorials/01-quickstart/batch-processing): Process hundreds of requests asynchronously using Groq's batch APIs.\n\n### 02. Tool Use (Function Calling)\n- [eCommerce Function Calling](/tutorials/02-tool-use/function-calling-101-ecommerce): Learn how to use function calling with LLMs to create orders and get prices on products.\n- [SQL Function Calling](/tutorials/02-tool-use/function-calling-sql): Learn how to use function calling with LLMs to run SQL queries.\n- [Stock Market Function Calling (Tutorial)](/tutorials/02-tool-use/llama3-stock-market-function-calling): Learn how to use function calling with LLMs to parse stock market data.\n- [Stock Market Function Calling (Replit)](/tutorials/02-tool-use/groqing-the-stock-market-function-calling-llama3): Replit-ready example for the above stock tutorial.\n- [Parallel Tool Use](/tutorials/02-tool-use/parallel-tool-use): Learn how to equip your LLM to "},{"ref":"P10","kind":"page","title":"groq/groq-gradio repository metadata","date":"2026-06-11T04:10:38.754677+00:00","date_source":null,"source_url":"https://github.com/groq/groq-gradio","signal_url":null,"signal_json_url":null,"text":"# groq/groq-gradio\n\nDescription: groq-gradio\n\nLanguage: Python\n\nStars: 18\n\nForks: 4\n\nOpen issues: 1\n\nCreated: 2024-10-24T15:38:42Z\n\nPushed: 2025-11-19T00:34:24Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# `groq-gradio`\n\n`groq-gradio` is a Python package that simplifies the creation of machine learning applications powered by [Groq](https://groq.com/) for lightning-fast \ninference speed and low latency using easily deployable [Gradio](https://www.gradio.app/) interfaces.\n\n## Features\n- **Fast Inference Speed:** Seamless integration with Groq API to leverage fast inference for your AI apps 🚀\n- **Rapid Development:** Functional frontend creation with a few lines of code (that can be easily deployed to [HF Spaces](https://huggingface.co/docs/hub/en/spaces-overview)) 🤩\n- **Flexible UI Options:** Ability to launch a responsive web interface with customizable titles, descriptions, and example prompts 🎨\n- **Multi-Modal Model Support:** Ability to build interfaces for any LLM powered by Groq via your [Groq API Key](https://console.groq.com/keys) 💪\n\n# Installation\n\nInstall `groq-gradio` using `pip`:\n\n```bash\npip install groq-gradio\n``` \n\n# Quick Start\n## 1. Set up your Groq API Key\nFirst, if you haven't already, create a free account on [GroqCloud](https://console.groq.com/) and generate a [Groq API Key](https://console.groq.com/keys). Set your Groq API Key as an environment variable:\n\n```bash\nexport GROQ_API_KEY=\n```\n\n## 2. Create a basic Gradio chat interface\nCreate a Python file, paste the following example code, and run the file:\n\n```python\nimport gradio as gr\nimport groq_gradio\n\ngr.load(\nname='llama-3.2-3b-preview',\nsrc=groq_gradio.registry,\n).launch()\n```\n\nAs shown below, this will launch a simple Gradio chat interface for the [`llama-3.2-3b-preview`](https://console.groq.com/docs/models#llama-32-3b-preview) model powered by Groq!\n\n![ChatInterface](chatinterface.png)\n\n# Customization \n## Custom Interface Example\n\nOnce you create a Gradio UI from a Groq API endpoint, you can customize it by setting your own input and output components, or any other arguments to `gr.Interface` as shown in the example below.\n\n![ChatInterface with cus"},{"ref":"P11","kind":"page","title":"groq/speech-to-speech-demo repository metadata","date":"2026-06-11T04:10:38.749316+00:00","date_source":null,"source_url":"https://github.com/groq/speech-to-speech-demo","signal_url":null,"signal_json_url":null,"text":"# groq/speech-to-speech-demo\n\nDescription: speech-to-speech-demo\n\nLanguage: TypeScript\n\nStars: 24\n\nForks: 13\n\nOpen issues: 3\n\nCreated: 2024-06-07T18:30:03Z\n\nPushed: 2025-12-12T22:55:29Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Speech-to-Speech Groq demo\n\n## Environment variables\nThe following environment variables are used in this project:\n\n- `GROQ_API_KEY`: API key for accessing Groq services. Get one [here](https://console.groq.com/).\n- `CARTESIA_API_KEY`: API key for accessing Cartesia services (optional: required for text-to-speech abilities). Get one [here](https://play.cartesia.ai/console).\n\nRename `.env.local.example` and populate the values.\n\n> **WARNING:** This demo app exposes the API keys in the browser. Assume your keys are readable in plain-text by anyone using the web application.\n\n## Login\n\nUsername: dummy@groq.com\n\nPassword: groqspeed\n\nYou can change it here: `src/app/api/auth/[...nextauth]/route.ts`\n\nThese variables should be set in your `.env.local` file for local development.\n\n## Happy Hacking!\n\nWhat follows is the regular Next.js README in case you're not familiar with the Next.js framework.\n\n---\n\n# Next.js\n\nThis is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app).\n\n## Getting Started\n\nFirst, run the development server:\n\n```bash\nnpm run dev\n# or\nyarn dev\n# or\npnpm dev\n# or\nbun dev\n```\n\nOpen [http://localhost:3000](http://localhost:3000) with your browser to see the result.\n\nYou can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file.\n\nThis project uses [`next/font`](https://nextjs.org/docs/basic-features/font-optimization) to automatically optimize and load Inter, a custom Google Font.\n\n## Learn More\n\nTo learn more about Next.js, take a look at the following resources:\n\n- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.\n- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.\n\nYou can check out [the Next.js GitHub repository](https://github.com/vercel/next.js/) - your feedback and contributions are welcome!\n\n## Deploy on Ve"},{"ref":"P12","kind":"page","title":"groq/groq-appgen repository metadata","date":"2026-06-11T04:10:38.51299+00:00","date_source":null,"source_url":"https://github.com/groq/groq-appgen","signal_url":null,"signal_json_url":null,"text":"# groq/groq-appgen\n\nDescription: Project showcasing Llama 3.3 70B HTML codegen abilities\n\nLanguage: TypeScript\n\nLicense: MIT\n\nStars: 648\n\nForks: 185\n\nOpen issues: 5\n\nCreated: 2024-12-17T20:48:02Z\n\nPushed: 2026-01-31T03:46:04Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Groq App Generator\n\nAn interactive web application that generates and modifies web applications using Groq's LLM API. Built with Next.js and TypeScript.\n\n## Features\n\n- Real-time app generation based on natural language queries\n- Content safety checking using LlamaGuard\n- Interactive feedback system for iterative improvements\n- Version control and history tracking\n- Share and export functionality\n\n## Tech Stack\n\n- Next.js 14 (App Router)\n- TypeScript\n- Groq SDK\n- React Syntax Highlighter\n- UUID for session management\n\n## Environment Variables\n\nRequired environment variables:\n- `GROQ_API_KEY`: Your Groq API key\n\n## Getting Started\n\n1. Clone the repository\n2. Install dependencies: `npm install`\n3. Set up your environment variables\n4. Run the development server: `npm run dev`\n\nThe application will be available at `http://localhost:3000`."},{"ref":"P13","kind":"page","title":"groq/groq-frontend-base repository metadata","date":"2026-06-11T04:10:38.079202+00:00","date_source":null,"source_url":"https://github.com/groq/groq-frontend-base","signal_url":null,"signal_json_url":null,"text":"# groq/groq-frontend-base\n\nDescription: Base project for bootstrapping frontend projects\n\nLanguage: TypeScript\n\nStars: 16\n\nForks: 5\n\nOpen issues: 1\n\nCreated: 2025-01-14T23:32:27Z\n\nPushed: 2026-01-28T17:59:07Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# groq-frontend-base\n\n[![MIT License](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE) \n\n> **A Next.js template that integrates Groq API, Tailwind CSS, ShadCN UI, and a chat completion feature with both server-side and client-side components.** \n\n![Demo](public/demo.gif)\n\nThis repository serves as a **base project** for creating a frontend application that communicates with the Groq API. It's pre-configured with a modern stack to help you get up and running quickly.\n\n---\n\n## Table of Contents\n\n- [groq-frontend-base](#groq-frontend-base)\n- [Table of Contents](#table-of-contents)\n- [Features](#features)\n- [Getting Started](#getting-started)\n- [1. Clone or Use This Template](#1-clone-or-use-this-template)\n- [2. Install Dependencies](#2-install-dependencies)\n- [3. Set Up Environment Variables](#3-set-up-environment-variables)\n- [4. Run the Development Server](#4-run-the-development-server)\n- [5. Customize for your project](#5-customize-for-your-project)\n- [Project Structure](#project-structure)\n- [Environment Variables](#environment-variables)\n- [Development Workflow](#development-workflow)\n- [Contributing](#contributing)\n- [License](#license)\n\n---\n\n## Features\n\n- **Next.js (TypeScript)** – A popular React framework for production-grade apps.\n- **Tailwind CSS** – Utility-first CSS framework for rapid UI development.\n- **ShadCN UI** – A design system built on top of Radix UI and Tailwind.\n- **Biome.js** – For code formatting, linting, and general code quality improvements.\n- **Server-side Chat Completion** – Use the Groq API for server-side chat logic.\n- **Client-side Chat Hook** – A React hook to handle client-side chat completion logic.\n\n---\n\n## Getting Started\n\n### 1. Clone or Use This Template\n\nYou can clone the repository:\n\n```bash\ngit clone https://github.com/your-username/groq-frontend-base.git\ncd groq-frontend-base\n```\n\nOr click the **\"Use this template\"** button on GitHub to create a ne"},{"ref":"P14","kind":"page","title":"groq/kustomize-lint repository metadata","date":"2026-06-11T04:10:37.97853+00:00","date_source":null,"source_url":"https://github.com/groq/kustomize-lint","signal_url":null,"signal_json_url":null,"text":"# groq/kustomize-lint\n\nDescription: Linter for kustomize files\n\nLanguage: Go\n\nLicense: Apache-2.0\n\nStars: 7\n\nForks: 1\n\nOpen issues: 10\n\nCreated: 2025-02-10T16:01:01Z\n\nPushed: 2026-06-07T15:14:56Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n## kustomize file and directory linter\n\n[kustomize](https://github.com/kubernetes-sigs/kustomize) does not allow wildcard inclusion of files within a directory nor does it provide a \"strict\" option to disallow and detect unreferenced or extraneous files.\n\nThis repository is generically named, but currently provides a single linting rule: detect files that not referenced in any `kustomization.yaml` configurable and to make sure all referenced files exist.\n\n### Usage\n\nFor basic usage, provide the root path containing any number of kustomizations.\n\n```sh\n$ kustomize-lint lint path/to/root\n```\n\nFor example:\n```sh\n$ tree path/to/root\n├── base\n│   ├── file.yaml\n│   ├── file2.yaml\n│   └── kustomization.yaml\n└── overlay\n├── file3.yaml\n├── kustomization.yaml\n\n$ cat base/kustomization.yaml\napiVersion: kustomize.config.k8s.io/v1beta1\nkind: Kustomization\nresources:\n- file.yaml\n\n$ cat overlay/kustomization.yaml\napiVersion: kustomize.config.k8s.io/v1beta1\nkind: Kustomization\nresources:\n- ../base\n```\n\nRunning the linter will provide errors for `file2.yaml` and `file3.yaml`:\n```sh\n$ kustomize-lint lint path/to/root \nFATA Validation errors\nerr=\n│ * resource \"path/to/root/base/file2.yaml\" not referenced\n│ * resource \"path/to/root/overlay/file3.yaml\" not referenced\nexit status 1\n```\n\nThe linter will also error for referenced files that do not exist:\n```sh\n$ rm base/file.yaml\n\n$ kustomize-lint lint path/to/root\nFATA Validation errors err=\"reference \\\"file.yaml\\\" cannot be loaded and does not look like YAML: missing Resource metadata\"\nexit status 1\n```\n\n#### Ignoring Files\n\nTo explicitly ignore files that are not referenced, the `--exclude` (`-x`) flag can be provided or an inline `# kustomize-lint:ignore` comment can be added to the file.\n\nFor example, with this directory structure:\n```sh\n$ cat kustomization.yaml\napiVersion: kustomize.config.k8s.io/v1beta1\nkind: Kustomization\nresources:\n- file.yaml\n# - ignored_file.yaml\n$ ls\nfile.yaml "},{"ref":"P15","kind":"page","title":"groq/blogwizard repository metadata","date":"2026-06-11T04:10:37.867172+00:00","date_source":null,"source_url":"https://github.com/groq/blogwizard","signal_url":null,"signal_json_url":null,"text":"# groq/blogwizard\n\nDescription: Generate blog articles from video or audio using Groq, Whisper, and Llama3\n\nLanguage: Python\n\nLicense: MIT\n\nStars: 60\n\nForks: 22\n\nOpen issues: 9\n\nCreated: 2025-02-14T18:35:15Z\n\nPushed: 2026-02-11T16:42:10Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n

\n
\n\"Generate\n
\n
\nBlogWizard: Generate blog articles from video or audio
using Groq, Whisper, and Llama/Kimi/Deepseek\n
\n

\n\n

\n\n\n\n\n

\n\n

\nOverview •\nFeatures •\nQuickstart •\nContributing\n

\n\n
\n\n[Demo of BlogWizard](https://github.com/user-attachments/assets/0893d952-bb3b-4f94-b79d-cedb6183024b)\n> Demo of BlogWizard fast transcription of audio and generation of structured blog.\n\n## Overview\n\nBlogWizard is a streamlit app that scaffolds the creation of blogs by iteratively structuring and generating blogs from transcribed audio lectures using Groq's Whisper API.\n\n### Features\n\n- 🎧 Generate a structured blog using transcribed audio by Whisper-large and text by Llama, Kimi, or Deepseek\n- ⚡ Lightning fast speed transcribing audio and generating text using Groq\n- 📖 Scaffolded prompting strategically switches between Content and Outline models to balance speed and quality\n- 🖊️ Markdown styling creates aesthetic blog posts on the streamlit app that can include tables and code \n- 📂 Allows user to download a text or PDF file with the entire blog contents\n\n## Quickstart\n\n> [!IMPORTANT]\n> To use BlogWizard, you can use a hosted version at [https://blogwizard.groqlabs.com/](https://blogwizard.groqlabs.com/).\n> Alternatively, you can run BlogWizard locally with Streamlit using the quickstart instructions.\n\n### Run locally:\n\nAlternative, you can run BlogWizard"},{"ref":"P16","kind":"page","title":"groq/groq-mcp-server repository metadata","date":"2026-06-11T04:10:37.863626+00:00","date_source":null,"source_url":"https://github.com/groq/groq-mcp-server","signal_url":null,"signal_json_url":null,"text":"# groq/groq-mcp-server\n\nDescription: Groq MCP server\n\nLanguage: Python\n\nLicense: MIT\n\nStars: 42\n\nForks: 22\n\nOpen issues: 1\n\nCreated: 2025-04-10T17:42:45Z\n\nPushed: 2025-11-19T00:34:35Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Groq MCP Server\n\nQuery models hosted on [Groq](https://console.groq.com/docs/models) for lightning-fast inference directly from Claude and other MCP clients through the [Model Context Protocol (MCP)](https://github.com/modelcontextprotocol).\n\nUse MCP to access vision models for interpreting visual data from images, instantly generate speech from text, process thousands of requests through Groq's [batch processing](https://console.groq.com/docs/batch), and even build apps with full access to Groq's documentation.\n\nWith the Groq MCP server you can try tasks like:\n\n### Agentic Tasks, Code Generation & Web Search\n- What is Groq's Compound Beta? Use the compound tool. Summarize with one line then turn into voice\n- Please retrieve the current Bitcoin price from CoinGecko API and calculate the value of 0.38474 bitcoins?\n- What is the weather in SF right now?\n- Generate and run code, which means you can make API calls, get data from webpages, and much more\n- This feature uses the new `compound-beta` [agentic tools system](https://console.groq.com/docs/agentic-tooling)\n\n### Vision & Understanding\n- \"Describe this image [URL to image]\"\n- \"Analyze this image and extract key information as JSON [URL to image]\"\n\n### Speech & Audio\n- \"Convert this text to speech using the Arista-PlayAI voice: [text]\"\n- \"Read this text aloud in Arabic: [text]\"\n- \"Transcribe this audio file using whisper-large-v3: [url to mp3]\"\n- \"Translate this foreign language audio to English [url to mp3]\"\n\n### Batch Processing\n- \"Process the following batch of prompts: [location of a jsonlines file]\" (read more [here](https://console.groq.com/docs/batch))\n\n## Quickstart with Claude Desktop\n\n- Get a Groq API key for free at [console.groq.com](https://console.groq.com)\n2. Install `uv` (Python package manager), install with `curl -LsSf https://astral.sh/uv/install.sh | sh` or see the `uv` [repo](https://github.com/astral-sh/uv) for additional install methods.\n3. Go to Claud"},{"ref":"P17","kind":"page","title":"groq/realtime-eval repository metadata","date":"2026-06-11T04:10:37.599939+00:00","date_source":null,"source_url":"https://github.com/groq/realtime-eval","signal_url":null,"signal_json_url":null,"text":"# groq/realtime-eval\n\nDescription: Realtime News and Information Eval\n\nLanguage: Python\n\nLicense: MIT\n\nStars: 19\n\nForks: 1\n\nOpen issues: 1\n\nCreated: 2025-04-10T21:35:37Z\n\nPushed: 2026-03-26T09:08:33Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# realtime-eval\nRealtime News and Information Eval\n\nGenerate Dataset:\n~~~\npython -m realtime_eval\n~~~\n\nView RSS Feed Articles:\n~~~\npython -m realtime_eval.rss_reader\n~~~"},{"ref":"P18","kind":"page","title":"groq/groq-changelog repository metadata","date":"2026-06-11T04:10:36.887715+00:00","date_source":null,"source_url":"https://github.com/groq/groq-changelog","signal_url":null,"signal_json_url":null,"text":"# groq/groq-changelog\n\nDescription: Groq Public Changelog\n\nStars: 17\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2025-04-13T15:19:51Z\n\nPushed: 2026-05-06T03:52:20Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Groq Changelog\nThe official changelog for Groq API and Groq SDKs for what changed and when it changed.\n\n## Purpose\nThis repo contains a chronological record (newest first) of changes to Groq API and the [Python](https://github.com/groq/groq-python) and [TypeScript](https://github.com/groq/groq-typescript) SDKs to help you track what's new. Posted every Monday.\n\n## How to Subscribe to Updates\n1. **Watch this repo**: Click the \"Watch\" button at the top-right of this page to receive notifications when we push updates\n2. **Star this repo**: Star to bookmark for later\n3. **RSS this Repo**: Subcribe via GitHub's RSS feed\n\n## What We Track (Categorized by Type)\n- **Added**: New features, models, or capabilities\n- **Fixed**: Bug fixes\n- **Deprecated**: Soon-to-be-removed features\n- **Removed**: Features that have been removed\n\n## Additional Resources\n\n- [Groq Documentation](https://console.groq.com/docs)\n- [Groq API Reference](https://console.groq.com/docs/api-reference)\n- [Community Discord](https://discord.gg/groq)\n\n## Questions?\n\nIf you have questions about a specific change or a suggestion for an improvement, [open an issue and we'll chat](https://github.com/groq/groq-changelog/issues).\n\n---\n\nShipped by Groq DevRel 🚢 ([Hatice](https://github.com/ozenhati), [Ben](https://github.com/benank), [Jan](https://github.com/janzheng))"},{"ref":"P19","kind":"page","title":"groq/compound-mcp-server repository metadata","date":"2026-06-11T04:10:36.853162+00:00","date_source":null,"source_url":"https://github.com/groq/compound-mcp-server","signal_url":null,"signal_json_url":null,"text":"# groq/compound-mcp-server\n\nDescription: Groq Compound Beta MCP Server\n\nLanguage: TypeScript\n\nLicense: MIT\n\nStars: 51\n\nForks: 16\n\nOpen issues: 6\n\nCreated: 2025-04-14T19:20:31Z\n\nPushed: 2026-02-14T10:51:36Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# groq-compound-mcp-server\n\nProvides a Model Context Protocol (MCP) server for interacting with Groq models, including compound/meta models.\n\nThis server exposes the following tools:\n* `ask_with_realtime_information`\n* `ask_with_code_execution`\n\n## Prerequisites\n\n* Node.js >= 18.0.0\n* A Groq API key set in the `GROQ_API_KEY` environment variable.\n\n## Installation\n\n```bash\nnpm install groq-compound-mcp-server\n```\n\n## Usage\n\nThis server follows the standard MCP server pattern using stdio for transport. It's designed to be run by an MCP client (like Claude Desktop or a custom client).\n\nRefer to the official [MCP Quickstart for Server Developers](https://modelcontextprotocol.io/quickstart/server) for instructions on setting up and connecting MCP servers.\n\nWhen configuring your client, use the command `npx groq-compound-mcp-server` or `groq-compound-mcp-server` (if installed globally) to run this server.\n\nHere's an example of how you might configure an MCP client (e.g., in a `settings.json` file) to launch this server:\n\n```json\n{\n\"mcpServers\": {\n\"groq-compound\": {\n\"command\": \"npx\",\n\"args\": [\n\"-y\",\n\"groq-compound-mcp-server\"\n],\n\"env\": {\n\"GROQ_API_KEY\": \"YOUR_GROQ_API_KEY_HERE\"\n}\n}\n}\n}\n```\n\n## Hosting on Vercel\n\nThis server can also be deployed to Vercel.\n\n1. **Prerequisites**:\n* Ensure you have a Vercel account.\n* Connect your Git repository to Vercel.\n\n2. **Environment Variables**:\nSet the following environment variables in your Vercel project settings:\n* `GROQ_API_KEY`: Your Groq API key.\n* `REDIS_URL`: (Recommended for SSE transport) The connection URL for a Redis instance (e.g., from Vercel KV or Upstash).\n\n3. **Build Configuration**:\nVercel should automatically detect it as a Next.js application. The build command `npm run build:vercel` (or `yarn build:vercel`/`pnpm build:vercel`) and the output directory (`.next`) will be used.\n\n4. **Accessing the MCP Server**:\nOnce deployed, your MCP server endpoints will"},{"ref":"P20","kind":"page","title":"groq/kustomize-upsert repository metadata","date":"2026-06-11T04:10:36.602555+00:00","date_source":null,"source_url":"https://github.com/groq/kustomize-upsert","signal_url":null,"signal_json_url":null,"text":"# groq/kustomize-upsert\n\nDescription: Upsert transformer for kustomizations\n\nLanguage: Go\n\nStars: 2\n\nForks: 0\n\nOpen issues: 8\n\nCreated: 2025-06-16T00:24:58Z\n\nPushed: 2026-06-07T00:52:46Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Kustomize Upsert Transformer\n\nA generic Go plugin for Kustomize that provides \"append if exists, else create\" behavior for array fields in Kubernetes resources. Supports regex-based resource targeting for gradual rollouts.\n\n## Problem Solved\n\nKustomize has fundamental limitations with array handling:\n- **Strategic merge patches** clobber entire arrays in custom resources\n- **JSON patches** fail if target paths don't exist \n- **No conditional logic** for \"append if exists, else create\" behavior\n\nThis transformer provides transparent array upsert operations for any Kubernetes resource and field.\n\n## Features\n\n- ✅ **Generic**: Works with any Kubernetes resource type and array field\n- ✅ **Transparent**: Handles both \"create\" and \"append\" cases automatically\n- ✅ **Type safe**: Pure Go implementation with proper error handling\n- ✅ **Configurable**: Support for multiple operations and target selectors\n- ✅ **Duplicate handling**: Optional deduplication of array values\n- ✅ **JSONPath support**: Flexible path targeting (e.g., `spec.containers[0].args`)\n- ✅ **Regex targeting**: Supports regex patterns for resource names (e.g., `name: \"web-.*\"`)\n\n## Usage\n\n### 1. Install the transformer\n\n```bash\nmake build\n# Binary created at ./kustomize-upsert\n# Copy to your PATH or distribute via internal tooling\n```\n\n### 2. Create configuration file\n\n```yaml\napiVersion: groq.io/v1alpha1\nkind: UpsertTransformer\nmetadata:\nname: array-upsert\nspec:\noperations:\n# Add OTEL environment variables to InferenceEngineDeployments\n- target:\ngroup: \"inference-engine.groq.io\"\nversion: \"v1alpha1\"\nkind: \"InferenceEngineDeployment\"\npath: \"spec.dev.nova_args\"\nvalues:\n- \"--agent-env-vars=GROQ_ENABLE_DRIVER_OTEL=1\"\n- \"--agent-env-vars=GROQ_QSFP_OTEL_MONITOR=1\"\nallowDuplicates: false\n\n# Add debug flags using regex targeting (gradual rollout)\n- target:\ngroup: \"apps\"\nversion: \"v1\"\nkind: \"Deployment\" \nname: \"(web-app|api-service|worker-.*)\"\npath: \"spec.template.spec.contai"},{"ref":"P21","kind":"page","title":"groq/groq-desktop-beta repository metadata","date":"2026-06-11T04:10:36.59474+00:00","date_source":null,"source_url":"https://github.com/groq/groq-desktop-beta","signal_url":null,"signal_json_url":null,"text":"# groq/groq-desktop-beta\n\nDescription: Local Groq Desktop chat app with MCP support\n\nLanguage: JavaScript\n\nLicense: MIT\n\nStars: 394\n\nForks: 60\n\nOpen issues: 10\n\nCreated: 2025-04-14T19:20:40Z\n\nPushed: 2026-02-14T10:51:42Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Groq Desktop\n\n[![Latest macOS Build](https://img.shields.io/github/v/release/groq/groq-desktop-beta?include_prereleases&label=latest%20macOS%20.dmg%20build)](https://github.com/groq/groq-desktop-beta/releases/latest)\n\nGroq Desktop features MCP server support for all function calling capable models hosted on Groq. Now available for Windows, macOS, and Linux!\n\n> **Note for macOS Users**: After installing on macOS, you may need to run this command to open the app:\n> ```sh\n> xattr -c /Applications/Groq\\ Desktop.app\n> ```\n\n\"Screenshot\n\n## Unofficial Homebrew Installation (macOS)\n\nYou can install the latest release using [Homebrew](https://brew.sh/) via an unofficial tap:\n\n```sh\nbrew tap ricklamers/groq-desktop-unofficial\nbrew install --cask groq-desktop\n# Allow the app to run\nxattr -c /Applications/Groq\\ Desktop.app\n```\n\n## Features\n\n- Chat interface with image support\n- Local MCP servers\n\n## Prerequisites\n\n- Node.js (v18+)\n- pnpm package manager\n\n## Setup\n\n1. Clone this repository\n2. Install dependencies:\n```\npnpm install\n```\n3. Start the development server:\n```\npnpm dev\n```\n\n## Troubleshooting\n\n### Electron Installation Issues\n\nIf you encounter an error like \"Electron failed to install correctly\" when running `pnpm dev`, this is likely because pnpm blocked the build scripts for security reasons. To fix this:\n\n1. Remove the corrupted installation:\n```bash\nrm -rf node_modules\n```\n\n2. Reinstall dependencies:\n```bash\npnpm install\n```\n\n3. Approve the build scripts when prompted (or run manually):\n```bash\npnpm approve-builds\n```\nSelect `electron` and `esbuild` when prompted to allow their post-install scripts to run.\n\n4. Try running the dev server again:\n```bash\npnpm dev\n```\n\n## Building for Production\n\nTo build the application for production:\n\n```\npnpm dist\n```\n\nT"},{"ref":"P22","kind":"page","title":"groq/k8s-wif-webhook repository metadata","date":"2026-06-11T04:10:36.25784+00:00","date_source":null,"source_url":"https://github.com/groq/k8s-wif-webhook","signal_url":null,"signal_json_url":null,"text":"# groq/k8s-wif-webhook\n\nDescription: Kubernetes Mutating Webhook for Google WIF\n\nLanguage: Go\n\nLicense: NOASSERTION\n\nStars: 1\n\nForks: 0\n\nOpen issues: 2\n\nCreated: 2025-07-04T01:05:13Z\n\nPushed: 2026-04-08T20:30:56Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Kubernetes Workload Identity Federation Webhook\n\nA Kubernetes admission webhook that automatically injects Google Cloud Workload Identity Federation (WIF) configuration into pods, eliminating the need for service account keys.\n\n[![Container Image](https://ghcr-badge.egpl.dev/groq/k8s-wif-webhook/latest_by_date?color=%2344cc11&ignore=latest)](https://github.com/groq/k8s-wif-webhook/pkgs/container/k8s-wif-webhook)\n\n## Overview\n\nThis webhook transparently configures pods to use WIF for Google Cloud authentication by:\n- Injecting projected ServiceAccount tokens as volumes\n- Setting the `GOOGLE_APPLICATION_CREDENTIALS` environment variable\n- Configuring WIF provider endpoints\n\n## Features\n\n- **Zero-touch WIF injection**: Automatically configures all pods by default with no manual setup\n- **Opt-out model**: Use annotations to disable injection when needed\n- **Two WIF modes**: Direct federated identity or service account impersonation\n- **Environment-driven config**: Configure via environment variables\n- **Minimal overhead**: Lightweight admission controller with fast processing\n\n## Configuration\n\nThe webhook is configured via environment variables:\n\n- `WORKLOAD_IDENTITY_PROVIDER`: WIF provider path (e.g., `projects/123/locations/global/workloadIdentityPools/pool/providers/provider`)\n- `GOOGLE_CLOUD_PROJECT`: GCP project ID for workload identity\n\n## Opt-out\n\nTo disable WIF injection:\n\n**Namespace-level** (all pods in namespace):\n```yaml\nmetadata:\nannotations:\nworkload-identity.io/injection: \"disabled\"\n```\n\n**Pod-level**:\n```yaml\nmetadata:\nannotations:\nworkload-identity.io/inject: \"false\"\n```\n\n## Service Account Impersonation\n\nFor service account impersonation mode, add:\n```yaml\nmetadata:\nannotations:\niam.gke.io/gcp-service-account: \"my-service-account@project.iam.gserviceaccount.com\"\n```\n\n## Deployment\n\nThe webhook is distributed as a container image:\n\n```yaml\nimage: ghcr.io/groq/k8s-wif-webhook:latest\n`"},{"ref":"P23","kind":"page","title":"groq/groq-autosheet repository metadata","date":"2026-06-11T04:10:36.031624+00:00","date_source":null,"source_url":"https://github.com/groq/groq-autosheet","signal_url":null,"signal_json_url":null,"text":"# groq/groq-autosheet\n\nDescription: A browser spreadsheet with an integrated AI chat (with MCP support) powered by Groq inference\n\nLanguage: JavaScript\n\nLicense: Apache-2.0\n\nStars: 32\n\nForks: 10\n\nOpen issues: 7\n\nCreated: 2025-08-25T20:01:37Z\n\nPushed: 2026-02-20T04:25:57Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Autosheet (a GroqLabs project)\n\n\"autosheet-ui\"\n\nAutosheet is a lightweight, hackable browser spreadsheet with an integrated AI copilot (chat + tools/MCP) running on Groq’s blazing-fast inference. Use it as:\n\n- A reference implementation for GPT-OSS reasoning and function-calling on Groq\n- A playground to build custom tools/functions and experiment with remote MCP servers\n- A simple spreadsheet you can fork and extend\n\nTry it online: https://autosheet.groqlabs.com/\n\n## Quick start\n\nPrereqs: Node 18+.\n\n1) Install and run the web app\n\n```bash\nnpm install\nnpm run dev\n```\n\n2) Set your Groq API key (for the proxy that forwards chat completions):\n\n```bash\nexport GROQ_API_KEY=your_key_here\n```\n\nThen open the dev server URL printed in your terminal (Next.js dev). The in-browser chat will call the `/api/groq` proxy which forwards to `https://api.groq.com/openai/v1/chat/completions` and only allows approved models.\n\n## Project layout\n\n- `src/` – Minimal spreadsheet engine and function registry\n- `web/` – Next.js app (UI: grid, chat, script editor, MCP client)\n- `web/src/app/api/groq/` – Proxy to Groq API (reads `GROQ_API_KEY`)\n\n## Hack on it\n\n- Add built-in spreadsheet functions in `src/lib/builtins/`\n- Create new chat tools/MCP integrations in `web/src/ui/builtinTools.js`\n- Adjust allowed models in `web/src/app/api/groq/allowedModels.js`\n\nPRs welcome. This repo aims to stay small, readable, and easy to fork.\n\n## License\n\nApache 2.0. See `LICENSE`."},{"ref":"P24","kind":"page","title":"groq/openbench repository metadata","date":"2026-06-11T04:10:35.994033+00:00","date_source":null,"source_url":"https://github.com/groq/openbench","signal_url":null,"signal_json_url":null,"text":"# groq/openbench\n\nDescription: Provider-agnostic, open-source evaluation infrastructure for language models\n\nLanguage: Python\n\nLicense: MIT\n\nStars: 782\n\nForks: 101\n\nOpen issues: 3\n\nCreated: 2025-07-31T08:02:49Z\n\nPushed: 2026-04-28T16:46:13Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# openbench\n\n

\n
\n\"openbench\"\n
\n
\nProvider-agnostic, open-source evaluation infrastructure for language models\n
\n

\n\n

\n\n\n\n\n\n

\n\nopenbench provides standardized, reproducible benchmarking for LLMs across 30+ evaluation suites (and growing) spanning knowledge, math, reasoning, coding, science, reading comprehension, health, long-context recall, graph reasoning, and first-class support for your own local evals to preserve privacy. **Works with any model provider** - Groq, OpenAI, Anthropic, Cohere, Google, AWS Bedrock, Azure, local models via Ollama, Hugging Face, and 30+ other providers.\n\nTo get started, see the tutorial below or reference the [docs](https://openbench.dev/).\n\n## Features\n\n- **🎯 95+ Benchmarks**: MMLU, GPQA, HumanEval, SimpleQA, competition math (AIME, HMMT), SciCode, GraphWalks, and more\n- **🔧 Simple CLI**: `bench list`, `bench describe`, `bench eval` (also available as `openbench`), `-M`/`-T` flags for model/task args, `--debug` mode for eval-retry, experimental benchmarks with `--alpha` flag\n- **🏗️ Built on inspect-ai**: Industry-standard evaluation framework\n- **📊 Extensible**: Easy to add new benchmarks and metrics\n- **🤖 Provider-agnostic**: Works with 30+ model providers out of the box\n- **🛠️ Local Eval Support**: Privatized benchmarks can be run with `bench eval `\n- **📤 Hugging Face Integration**:"},{"ref":"P25","kind":"page","title":"groq/tailscale-buildkite-plugin repository metadata","date":"2026-06-11T04:10:35.771811+00:00","date_source":null,"source_url":"https://github.com/groq/tailscale-buildkite-plugin","signal_url":null,"signal_json_url":null,"text":"# groq/tailscale-buildkite-plugin\n\nDescription: Buildkite plugin to connect to your Tailscale network\n\nLanguage: Shell\n\nLicense: MIT\n\nStars: 1\n\nForks: 0\n\nOpen issues: 0\n\nCreated: 2025-10-07T20:26:15Z\n\nPushed: 2026-03-31T16:19:39Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Tailscale Buildkite Plugin\n\nA Buildkite plugin to connect to your [Tailscale](https://tailscale.com/) network.\n\n## Options\n\nThese are all the options available to configure this plugin's behaviour.\n\n### Required\n\n#### `tags` (string)\n\nThe [device tags](https://tailscale.com/kb/1068/tags) this pipeline will use.\n\n### Optional\n\n#### `client-id` (string)\n\nThe client ID. When set and no `client-secret-env` is supplied, [workload identity federation](https://tailscale.com/blog/workload-identity-beta) is used.\n\n#### `client-secret-env` (string)\n\nThe environment variable that the client secret is stored in.\n\n#### `audience` (string)\n\nThe OIDC token audience. Defaults to `tailscale.com`.\n\n#### `hostname` (string)\n\nThe hostname to use.\n\nDefaults to `buildkite-${BUILDKITE_AGENT_NAME:-$(hostname)}`\n\n#### `timeout` (number)\n\nConnection timeout value in seconds.\n\nDefaults to `120`. \n\n## Examples\n\n```yaml\nsteps:\n- label: \"🔨 Access my-service on the Tailnet\"\ncommand: \"curl http://my-service:8080\"\nplugins:\n- groq/tailscale:\n# Export this value as part of the repo's hooks/pre-checkout\nclient-secret-env: TAILSCALE_OAUTH_CLIENT_SECRET\ntags: tag:ci\n```\n\n## 📜 License\n\nThe package is available as open source under the terms of the [MIT License](https://opensource.org/licenses/MIT)."},{"ref":"P26","kind":"page","title":"groq/openbench-cyber repository metadata","date":"2026-06-11T04:10:35.695296+00:00","date_source":null,"source_url":"https://github.com/groq/openbench-cyber","signal_url":null,"signal_json_url":null,"text":"# groq/openbench-cyber\n\nDescription: Cybersecurity evals plugin for openbench\n\nLanguage: Python\n\nStars: 1\n\nForks: 0\n\nOpen issues: 8\n\nCreated: 2025-10-15T22:25:49Z\n\nPushed: 2026-02-10T23:33:21Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# openbench-cyber\n\nCybersecurity evaluation plugin for [openbench](https://github.com/groq/openbench).\n\nThis package moves all cybersecurity-heavy benchmarks (CTI-Bench + CyBench) into a\nseparate optional dependency so that the core `openbench` distribution stays lean\nwhile still supporting advanced security workloads.\n\n## Installation\n\nInstall directly from Git or rely on the optional extra exposed by `openbench`:\n\n```bash\nuv pip install \"openbench-cyber @ git+https://github.com/groq/openbench-cyber.git@main\"\n\n# or pull it in automatically via the optional extra\nuv pip install \"openbench[cyber]\"\n```\n\nAfter installation, the new benchmarks automatically appear in `bench list` because\nthey are registered through openbench's entry-point based plugin system.\n\n## Included Benchmarks\n\n- `cti_bench_ate` – MITRE ATT&CK technique extraction\n- `cti_bench_mcq` – CTI multiple-choice knowledge assessments\n- `cti_bench_rcm` – CVE→CWE vulnerability classification\n- `cti_bench_vsp` – CVSS severity regression\n- `cybench` – Agentic CTF-style challenges powered by `inspect-cyber`\n\nRun them exactly like any other benchmark:\n\n```bash\nbench eval cti_bench_vsp --model groq/llama-3.3-70b-versatile\nbench eval cybench --env CYBENCH_ACKNOWLEDGE_RISKS=1\n```\n\n## Development\n\n```bash\nuv venv\nsource .venv/bin/activate\nuv pip install -e \".[dev]\"\npre-commit install\n```\n\nThe repository mirrors openbench's release automation (Release Please + PyPI publish)\nso that security benchmarks can ship independently from the main project."},{"ref":"P27","kind":"page","title":"groq/orchestrate repository metadata","date":"2026-06-11T04:10:35.47637+00:00","date_source":null,"source_url":"https://github.com/groq/orchestrate","signal_url":null,"signal_json_url":null,"text":"# groq/orchestrate\n\nDescription: Orchestrate\n\nLanguage: Rust\n\nLicense: MIT\n\nStars: 8\n\nForks: 0\n\nOpen issues: 2\n\nCreated: 2025-12-08T07:20:29Z\n\nPushed: 2026-04-14T03:38:30Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n
\n\n\"Orchestrate_Header_1800x628\"\n\n
\n\n### **Initialize, monitor, and orchestrate coding agents running in parallel within isolated git worktrees.**\n\n![droid](https://img.shields.io/badge/droid-ff8c00?style=for-the-badge&logoColor=white)\n![claude](https://img.shields.io/badge/claude-d2b48c?style=for-the-badge&logoColor=white)\n![codex](https://img.shields.io/badge/codex-1e1e1e?style=for-the-badge&logoColor=white)\n\n
\n\n---\n\n## 📦 Installation\n\n```bash\n# from the repo root\ncargo install --path .\n```\n\n**Requirements:** macOS with iTerm2, Rust toolchain, and your preferred AI coding agents installed.\n\n---\n\n## ⚡ Quick Start\n\n**1. Create `settings.yaml` in the Orchestrate data directory:**\n\nThe settings file goes in the platform-specific data directory:\n- **macOS:** `~/.orchestrate/settings.yaml`\n- **Linux:** `~/.local/share/orchestrate/settings.yaml`\n- **Windows:** `%APPDATA%\\Orchestrate\\settings.yaml`\n\n```yaml\ndefault: default\n\npresets:\n# Simple: just an agent\ndefault:\n- agent: claude\n\n# Complex: agent with dev server, tests, and shell\nfullstack:\n- agent: claude\ncommands:\n- command: \"./bin/go run ./cmd/server\"\ntitle: \"Dev Server\"\n- command: \"./bin/go test ./...\"\ntitle: \"Tests\"\n- command: \"\"\ntitle: \"Shell\"\n\n# Multi-agent: compare different agents on the same task\ncompare:\n- agent: droid\n- agent: claude\n- agent: codex\n\n# Best of n: use n to run multiple instances of an agent\nparallel:\n- agent: claude\nn: 3\n```\n\n**2. Option A: Run via TUI**\n\n```bash\n# Open TUI\norchestrate\n```\n\n\"Screenshot\n\n\"Screenshot\n\n
\n<"},{"ref":"P28","kind":"page","title":"groq/echo-swagger v1.4.1-patched","date":"2026-06-11T04:06:38.605717+00:00","date_source":null,"source_url":"https://github.com/groq/echo-swagger/releases/tag/v1.4.1-patched","signal_url":null,"signal_json_url":null,"text":"# v1.4.1-patched\n\nRepository: groq/echo-swagger\n\nTag: v1.4.1-patched\n\nPublished: 2024-07-31T15:06:58Z\n\nPrerelease: no\n\nRelease notes:\n**Full Changelog**: https://github.com/groq/echo-swagger/commits/v1.4.1-patched"},{"ref":"E1","kind":"event","title":"groq/groq-typescript v1.2.1","date":"2026-05-28T06:20:41+00:00","date_source":"source","source_url":"https://github.com/groq/groq-typescript/releases/tag/v1.2.1","signal_url":"https://onlylabs.fyi/signals/33dd8c45-71c0-42cf-87fb-de389d8512b5","signal_json_url":"https://onlylabs.fyi/signals/33dd8c45-71c0-42cf-87fb-de389d8512b5/signal.json","text":"release · groq/groq-typescript v1.2.1 · signal_desk=releases · occurred_at=2026-05-28T06:20:41+00:00 · 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