GLM-4.6V Integrations

OpenRouter is a unified interface for LLMs. OpenRouter scouts for the lowest prices and best latencies/throughputs across dozens of providers, and lets you choose how to prioritize them. No need to change your code when switching between models or providers. You can even let users choose and pay for their own. Evals are flawed; instead, compare models by how often they're used for different purposes. Chat with multiple at once in the chatroom. Model usage can be paid by users, developers, or both, and may shift in availability. You can also fetch models, prices, and limits via API. OpenRouter routes requests to the best available providers for your model, given your preferences. By default, requests are load-balanced across the top providers to maximize uptime, but you can customize how this works using the provider object in the request body. Prioritize providers that have not seen significant outages in the last 10 seconds.

​Roo Code, formerly known as Roo Cline, is an AI-powered autonomous coding agent integrated into Visual Studio Code, designed to enhance software development efficiency. It facilitates natural language interactions, enabling users to generate code, refactor existing code, debug, and update documentation seamlessly. It can read and write files directly within the workspace, execute terminal commands, and automate browser actions. It supports integration with any OpenAI-compatible or custom APIs/models and allows customization through various modes, including Code Mode for general coding tasks, Architect Mode for system design, Ask Mode for inquiries, Debug Mode for troubleshooting, and user-defined Custom Modes for specialized tasks. Roo Code also features the Model Context Protocol (MCP), extending its capabilities by integrating with external tools and APIs.

Kilo Code is a powerful open-source coding agent designed to help developers build, ship, and iterate faster across every stage of the software development workflow. It offers multiple modes—including Ask, Architect, Code, Debug, and Orchestrator—so developers can switch seamlessly between tasks with tailored AI support. The platform includes features such as hallucination-free code, automatic failure recovery, and deep context awareness to ensure accuracy and reliability. Developers can run parallel agents, enjoy fast autocomplete, and even deploy applications with a single click. With access to 500+ models and integration across terminals, VS Code, and JetBrains editors, Kilo provides unmatched flexibility. As the #1 agent on OpenRouter with over 750,000 users, it has quickly become a preferred choice for modern AI-assisted development.

Claude Code is an AI-powered coding assistant that brings Anthropic’s Claude directly to the developer’s terminal. It enables engineers to search, understand, and modify million-line codebases instantly using natural language. By integrating with your existing command-line tools, version control systems, and CI/CD pipelines, Claude Code fits seamlessly into any development workflow. Developers can triage issues, refactor code, and generate pull requests without ever leaving the terminal. With its deep contextual understanding, it performs multi-file edits and real-time code analysis while preserving accuracy and intent. It’s designed to make development faster, smarter, and friction-free for individuals and teams alike.

Autonomous coding agent right in your IDE, capable of creating/editing files, running commands, using the browser, and more with your permission every step of the way. Cline can handle complex software development tasks step-by-step. With tools that let him create & edit files, explore large projects, use the browser, and execute terminal commands (after you grant permission), he can assist you in ways that go beyond code completion or tech support. While autonomous AI scripts traditionally run in sandboxed environments, this extension provides a human-in-the-loop GUI to approve every file change and terminal command, providing a safe and accessible way to explore the potential of agentic AI.

Sup AI is a multi-LLM platform that merges outputs from several top large language models, such as GPT, Claude, Llama, and more, to generate richer, more accurate, and better-validated answers than any single model could provide. It applies real-time “logprob confidence scoring,” analyzing each token’s probability to detect uncertainty or hallucination; when a model’s confidence falls below a threshold, the response is halted, helping ensure that delivered answers remain high-quality and trustworthy. Sup’s “multi-model fusion” then compares, contrasts, and consolidates outputs from different models, cross-verifying and synthesizing the best parts into a final result. Sup also supports “multimodal RAG” (retrieval-augmented generation) to incorporate external data (text, PDFs, images) into context-aware responses, giving the AI access to factual sources and helping it “never forget” relevant information.