Search Results for "token" - Page 8
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Showing 611 open source projects for "token"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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jwt-go
Go of JSON Web Tokens
...We no longer support building jwt-go with unsupported Go versions, as these contain security vulnerabilities that will not be fixed. In short, it's a signed JSON object that does something useful (for example, authentication). It's commonly used for Bearer tokens in Oauth 2. A token is made of three parts, separated by .'s. The first two parts are JSON objects, that have been base64url encoded. The last part is the signature, encoded the same way. The first part is called the header. It contains the necessary information for verifying the last part, the signature. For example, which encryption method was used for signing and what key was used. -
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Reins
Ollama client that simplifies experimenting with LLMs
...It provides a highly customizable chat interface where users can configure system prompts, switch models dynamically, and adjust inference parameters such as temperature, token limits, and context size on a per-conversation basis. The application is built to run across platforms including mobile and desktop environments, making it accessible for a wide range of users who want consistent control over their AI workflows. It also includes features for editing and regenerating messages, enabling iterative refinement of outputs without restarting conversations. ... -
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Qwen Code
Qwen Code is a coding agent that lives in the digital world
Qwen Code is a command-line AI workflow tool designed to enhance developer productivity by leveraging the power of Qwen3-Coder models. Adapted from the Google Gemini CLI, it features an enhanced parser optimized specifically for Qwen-Coder models, enabling deep code understanding and manipulation. The tool supports querying and editing large codebases beyond traditional context limits, making it ideal for modern, complex projects. Qwen Code automates various development workflows, including... -
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GPUStack
Performance-optimized AI inference on your GPUs
GPUStack is an open-source GPU cluster management platform designed to simplify the deployment and operation of artificial intelligence models across heterogeneous hardware environments. The system aggregates GPU resources from multiple machines into a unified cluster so developers and administrators can run large language models and other AI workloads efficiently across distributed infrastructure. Instead of requiring complex orchestration systems such as Kubernetes, GPUStack provides a... -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Gitlab CLI
Ruby wrapper and CLI for the GitLab REST API
Gitlab CLI is a Ruby gem and CLI tool that wraps the REST API of GitLab (including self-hosted GitLab instances) to make automation, scripting and integration simpler. It provides a Ruby DSL that abstracts away direct HTTP calls, letting developers interact with GitLab’s API in idiomatic Ruby (creating projects, merge requests, listing users, etc.). In addition to the Ruby library, there is a command-line interface which enables many GitLab operations from the terminal (or scripts) without... -
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fosite
Extensible security first OAuth 2.0 and OpenID Connect SDK for Go
The security first OAuth2 & OpenID Connect framework for Go. Built simple, powerful, and extensible. This library implements peer-reviewed IETF RFC6749, counterfeits weaknesses covered in peer-reviewed IETF RFC6819 and countermeasures various database attack scenarios, keeping your application safe when that hacker penetrates or leaks your database. OpenID Connect is implemented according to OpenID Connect Core 1.0 incorporating errata set 1 and includes all flows: code, implicit, and... -
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Resty
Simple HTTP and REST client library for Go
...Backoff Retry Mechanism with retry condition function reference. Resty client HTTP & REST Request and Response middleware. Request.SetContext supported. Authorization option of BasicAuth and Bearer token. Set request ContentLength value for all request or particular request. Custom Root Certificates and Client Certificates. Download/Save HTTP response directly into File, like curl -o flag. See SetOutputDirectory & SetOutput. Cookies for your request and CookieJar support. SRV Record based request instead of Host URL. Client settings like Timeout, RedirectPolicy, Proxy, TLSClientConfig, Transport, etc. ... -
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Model Context Protocol (MCP) Servers
Model Context Protocol Servers
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. -
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morgan
HTTP request logger middleware for node.js
...This means that a requests will be logged even if the server crashes, but data from the response (like the response code, content length, etc.) cannot be logged. To define a token, simply invoke morgan.token() with the name and a callback function. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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FastDeploy
High-performance Inference and Deployment Toolkit for LLMs and VLMs
...The platform enables developers to deploy trained models quickly using optimized inference pipelines that support GPUs, specialized AI accelerators, and other hardware architectures. FastDeploy includes advanced acceleration technologies such as speculative decoding, multi-token prediction, and efficient KV cache management to improve throughput and latency during inference. It also offers compatibility with OpenAI-style APIs and vLLM-like interfaces, allowing developers to integrate deployed models easily into existing applications and services. -
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rest.js
GitHub REST API client for JavaScript
GitHub REST API client for JavaScript. Import the Octokit constructor based on your platform. Instantiate your octokit API. All options are optional, but authentication is strongly encouraged. API Previews can be enabled globally by setting the previews option. They can be set per-request as well. A default time zone can be enabled by setting the timeZone option. In order to use Octokit with GitHub Enterprise, set the baseUrl option. Most of GitHub’s REST API endpoints have matching methods.... -
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Ordinals
Rare and exotic sats
...Satoshis, not bitcoin, are the atomic, native currency of the Bitcoin network. One bitcoin can be sub-divided into 100,000,000 satoshis, but no further. Ordinal theory does not require a sidechain or token aside from Bitcoin, and can be used without any changes to the Bitcoin network. It works right now. ord is an index, block explorer, and command-line wallet. It is experimental software with no warranty. Ordinal theory imbues satoshis with numismatic value, allowing them to be collected and traded as curios. Ordinal numbers are serial numbers for satoshis, assigned in the order in which they are mined, and preserved across transactions. ord relies on Bitcoin Core for private key management and transaction signing. -
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Alfy
Create Alfred workflows with ease
...Alfred lets users set environment variables for a workflow which can then be used by that workflow. This can be useful if you, for example, need the user to specify an API token for a service. You can access the workflow environment variables from process.env. -
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MiniMax-M1
Open-weight, large-scale hybrid-attention reasoning model
...Architecturally, it combines Mixture-of-Experts layers with lightning attention, enabling the model to support a native context length of 1 million tokens while using far fewer FLOPs than comparable reasoning models for very long generations. The team emphasizes efficient scaling of test-time compute: at 100K-token generation lengths, M1 reportedly uses only about 25 percent of the FLOPs of some competing models, making extended “think step” traces more feasible. M1 is further trained with large-scale reinforcement learning over diverse tasks. -
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MiniMax-01
Large-language-model & vision-language-model based on Linear Attention
...MiniMax-Text-01 uses a hybrid attention architecture that blends Lightning Attention, standard softmax attention, and Mixture-of-Experts (MoE) routing to achieve both high throughput and long-context reasoning. It has 456 billion total parameters with 45.9 billion activated per token and is trained with advanced parallel strategies such as LASP+, varlen ring attention, and Expert Tensor Parallelism, enabling a training context of 1 million tokens and up to 4 million tokens at inference. MiniMax-VL-01 extends this core by adding a 303M-parameter Vision Transformer and a two-layer MLP projector in a ViT–MLP–LLM framework, allowing the model to process images at dynamic resolutions up to 2016×2016. -
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uqlm
Uncertainty Quantification for Language Models, is a Python package
...The library includes both black-box and white-box approaches to uncertainty estimation. Black-box methods evaluate model outputs through multiple generations or comparative analysis, while white-box methods rely on token probabilities produced during inference. UQLM also supports ensemble strategies and model-as-judge approaches for evaluating responses. By combining multiple uncertainty metrics, the system provides more reliable indicators of when language model outputs may be unreliable. -
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YubiKey Guide
Community guide to using YubiKey for GnuPG and SSH
The YubiKey-Guide by drduh is a community-maintained, in-depth tutorial and reference on how to use a YubiKey (hardware authentication token) with GPG, SSH, and related cryptographic setups. It explains how to generate, manage, and use keys, configure pin / touch policies, and integrate the YubiKey into secure workflows. Configuration instructions for requiring touch for operations. Step-by-step instructions for generating GPG keys and migrating them to a YubiKey. Troubleshooting and advice for different OS environments. ... -
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Octokit
Ruby toolkit for the GitHub API
...While most methods return a Resource object or a Boolean, sometimes you may need access to the raw HTTP response headers. Access tokens can be revoked, removing access for only that token without having to change your password everywhere. Access tokens have access scopes that allow for more granular access to API resources. For instance, you can grant a third party access to your gists but not your private repositories. Two-Factor Authentication brings added security to the account by requiring more information to login. -
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Bolt for JavaScript
A framework to build Slack apps using JavaScript
A JavaScript framework to build Slack apps in a flash with the latest platform features. Read the getting started guide to set-up and run your first Bolt app. To listen to messages that your app has access to receive, you can use the message() method which filters out events that aren’t of type message. message() accepts an optional pattern parameter of type string or RegExp object which filters out any messages that don’t match the pattern. A RegExp pattern can be used instead of a string... -
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LOL HTML
Low output latency streaming HTML parser/rewriter with CSS API
Low Output Latency streaming HTML rewriter/parser with CSS-selector based API. It is designed to modify HTML on the fly with minimal buffering. It can quickly handle very large documents, and operate in environments with limited memory resources. The crate serves as a back-end for the HTML rewriting functionality of Cloudflare Workers, but can be used as a standalone library with a convenient API for a wide variety of HTML rewriting/analysis tasks. The parser switches back to the tag scanner... -
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h3-metal
MiniMax H3 inference engine for Mac computers
...An interactive terminal session keeps prompt conditioning, the diffusion transformer, and the video decoder in memory for faster repeated generations. Users can trade speed, quality, and memory through denoising steps, layer counts, reuse modes, token reduction, internal render size, and SSD streaming. Optional terminal previews show intermediate and final frames during generation. The engine uses the original BF16 checkpoint and provides profiling tools for timing, Metal execution, tensor memory, allocations, and dispatch counts. -
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claude-real-video
Let Claude (or any LLM) actually watch a video
...It accepts public video URLs or local files and extracts the visual and audio evidence an AI model needs. Instead of sampling at a fixed interval, it detects scene changes and removes near-duplicate frames to reduce unnecessary token usage. It can transcribe audio, generate a clean output folder, and create a local viewer with the video, keyframe grid, and transcript. The tool can also be installed as a Claude Code skill so an agent can process videos more directly. It is useful for reviewing screen recordings, summarizing visual content, analyzing tutorials, and turning video into LLM-readable context. -
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LangDB AI Gateway
Govern, secure, and optimize your AI traffic
AI Gateway is a high-performance, open-source API gateway optimized for managing and monitoring LLM traffic at scale. Developed by the LangDB team, AI Gateway acts as an intermediary between clients and backend LLMs, providing advanced features like caching, rate limiting, prompt management, and observability. It helps teams secure and optimize their LLM deployments, whether using local models or external APIs like OpenAI or Anthropic. With native support for multi-tenant environments and... -
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MemPalace
The highest-scoring AI memory system ever benchmarked
MemPalace is an open-source AI memory system designed to solve one of the most persistent limitations of large language models: the loss of context between sessions. Instead of relying on summarization or selective extraction like most memory tools, it takes a radically different approach by storing conversations in their entirety and making them retrievable through structured organization and semantic search. The system is inspired by the classical “memory palace” mnemonic technique,... -
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Qwen3
Qwen3 is the large language model series developed by Qwen team
Qwen3 is a cutting-edge large language model (LLM) series developed by the Qwen team at Alibaba Cloud. The latest updated version, Qwen3-235B-A22B-Instruct-2507, features significant improvements in instruction-following, reasoning, knowledge coverage, and long-context understanding up to 256K tokens. It delivers higher quality and more helpful text generation across multiple languages and domains, including mathematics, coding, science, and tool usage. Various quantized versions,...
