DeepSeek API
Official model API; the documentation lists deepseek-flash and deepseek-v4-pro.
AQI AI / SEARCH
Search recorded models, integrations, learning paths, workflows and news. Filtering runs in your browser.
Official model API; the documentation lists deepseek-flash and deepseek-v4-pro.
An official open-source agent harness from DeepSeek AI with a plugin architecture, in developer preview.
OpenAI’s official local command-line coding agent.
Anthropic’s coding agent for terminal and development workflows.
A coding agent supporting multiple providers, Ollama, LM Studio and MCP.
An open-source coding agent project for development workflows.
Terminal AI pair programming with documented cloud and local model connections.
An open-source AI agent project for the code editor.
An AI editor with documentation for agents, rules, MCP and development workflows.
A self-hosted personal AI assistant project with platform and channel integrations.
A local model runtime and API tool supporting a subset of OpenAI endpoints.
A desktop local-model tool with compatible Chat Completions and Responses endpoints.
A model-serving inference engine with an OpenAI-compatible HTTP server.
A C/C++ language-model inference project for multiple local hardware backends.
An open model family released by Alibaba’s Qwen team.
Official Google Gemini API; gemini-4-argon became generally available on 2026-10-13, with time-limited introductory pricing.
Meta’s official repository of Llama model materials and utilities.
Mistral’s official model catalog covers different uses and deployment conditions.
Android’s official debugging and device communication tool, requiring device authorization.
An open-source tool to mirror and control an authorized Android device from a computer.
Browser automation and end-to-end testing for interactions on controlled pages.
Telegram’s official HTTP API for bots.
Discord’s official platform for apps, bots and interactions.
Slack’s official app and automation developer documentation.
A home automation platform with an official Ollama conversation integration.
The official project for controlling OBS Studio through WebSocket.
An integration platform with self-hosting and workflow automation documentation.
An open-source interface and backend organizing generative workflows through node graphs.
Unity’s official open-source ML toolkit for training and testing agents in games and simulations.
Godot’s official HTTPRequest interface connects external services; AI integration needs custom implementation.
Audio/video tools and libraries with official documentation for codecs, formats and filters.
OpenAI’s open-source speech recognition models and transcription tool.
An open protocol connecting AI applications with external tools and data.
The official Microsoft 365 data API covering mail, calendars, Excel, OneDrive and other services.
The official bot interface using LINE Official Accounts and webhooks.
Tencent’s official QQ platform with bot registration and development materials.
Apple’s official multi-step action automation for supported iPhone and iPad apps and services.
Official board documentation for camera, sensor and edge-project research.
Official OpenAI model API documenting gpt-6.1-sol; prices vary by model, context and service tier.
Official Anthropic Claude API documenting Claude Sonnet 5.5 and Opus 5.5.
Alibaba Cloud hosted model platform; Qwen API prices, free quotas and deployment scopes vary by region.
Official Z.ai API; pricing lists GLM-5.3 and GLM-5.3-Flash, while exact request IDs remain unverified.
Official Kimi API documenting kimi-k3, vision input and a 1M-token context; billed separately from memberships and Kimi Code.
Official MiniMax API for language, audio, image and video services, each with distinct billing units.
Multi-provider model router; verify model provenance, logging and billing for the selected route.
Google open model family including documented Gemma 4; check each artifact, license and hardware result separately.
Read sensors in isolated simulation before evaluating AI planning; leave real actuators disconnected.
Official Slack MCP uses Streamable HTTP and OAuth; only published or internal apps qualify. Check scopes and rate limits per tool.
Official Slack plugin bundles development Skills; its Codex install provides Skills only, without the Slack MCP workspace connection or slack-search.
slack-api is an API guidance Skill in the official plugin, covering methods, scopes, pagination and errors; it does not itself grant account access.
China BigModel documentation provides glm-5 request examples and lists a 200K context window and 128K maximum output. This site did not call the API.
Community video-search, subtitle and report plugin, with author video/source links; not an official DeepSeek plugin.
Community reference · not a default install recommendationCommunity WeChat iLink channel dsh-wechat-plugin; distinct from public accounts/WeCom, not an official DSH plugin.
Community reference · not a default install recommendationCommunity plugin using Feishu/Lark SDK WebSocket for messages and replies; custom app/approval required, not platform-official.
Community reference · not a default install recommendationEstablish a revocable authorized connection and mirroring before investigating an AI decision layer.
Send test dialogue to a local model over HTTP; connection code is custom work.
A bot program bridges Telegram and a local model; both APIs were reviewed, but the bridge was not tested.
Use the official Home Assistant Ollama integration, starting with conversation and then limited control.
Use Playwright locators, interactions and assertions on owned sites without presuming authority for external actions.
Access cloud office data through Microsoft Graph permissions; models process authorized fields only.
Verify OBS WebSocket authentication and a test scene first; develop the AI bridge separately.
Compose actions permitted by the system and apps with Shortcuts; this does not provide unrestricted phone remote control.
Bound inputs with slash commands before adding a separate model layer.
Receive authorized events over an outbound WebSocket; test fixed replies first.
Receive and reply to authorized messages using an official bot identity.
Read sensors in isolated simulation before evaluating AI planning; leave real actuators disconnected.
Separate development instruction packages from authorized workspace connections, then verify each client.
Send AI summaries to a designated group; start with text, then consider rich content and files.
WeCom AI bots, OpenClaw and public accounts are separate routes; author examples shorten the documentation search.
Choose by runtime; distinguish screenshot navigation, author examples and unverified API-specific permissions.
Community video-search, subtitle and report plugin, with author video/source links; not an official DeepSeek plugin.
Community WeChat iLink channel dsh-wechat-plugin; distinct from public accounts/WeCom, not an official DSH plugin.
Community plugin using Feishu/Lark SDK WebSocket for messages and replies; custom app/approval required, not platform-official.
Learn the roles of models, runtimes, APIs and agents, then complete a local request.
Verify the model, then practice permissions and review on reversible code changes.
Begin with owned media and practice subtitle review, synchronization and rights records.
Learn connection, state checks and mirroring before scoped AI control.
Distinguish NPC dialogue from reinforcement learning and build a dialogue scene with fallback.
Understand bot APIs versus personal accounts and start with drafts for limited test users.
Progress from conversation to one light while keeping manual control and a shutdown path.
Learn workflows and model files, then compare prompts one variable at a time.
Connect original storyboards, short image-to-video tests, narration and editing through shot-continuity checks.
Practice with preset or original designed voices, treating revocable voice permission separately; real-person cloning is not the default.
Learn MusicGen conditioning and listening review in a noncommercial exercise; use separately cleared music for commercial projects.
Separate content, reusable instructions and tool protocols in a small local site, then verify minimal permissions using synthetic data.
Verify local inference and its API before connecting an agent.
Start with an isolated repository and reversible changes, checking tool-call capability.
Use an installed local model and distinguish inference from cloud-dependent web search.
Establish a revocable authorized connection and mirroring before investigating an AI decision layer.
Send test dialogue to a local model over HTTP; connection code is custom work.
A bot program bridges Telegram and a local model; both APIs were reviewed, but the bridge was not tested.
Use the official Home Assistant Ollama integration, starting with conversation and then limited control.
Transcribe with Whisper, review manually and process with FFmpeg; this does not claim to generate a new video.
Learn workflows and model files, then compare prompts one variable at a time.
Connect original storyboards, short image-to-video tests, narration and editing through shot-continuity checks.
Two endpoints on an existing Windows installation passed synthetic checks; the first empty compatible response is retained as a failure.
The official organization repository and DeepSeek API docs cross-link it; the product remains a developer preview.
Models can be selected, but web search requires cloud access; documented support is not a site test.
Official advanced config includes --oss with Ollama and LM Studio; model capabilities still need individual verification.
Official docs warn API keys protect only certain paths; exposed services need additional isolation and access control.
Applications can delegate natively from GPT-Live or trigger Decisions from transcript deltas; no API runtime test by this site.
Opus 5.5 fast mode no longer requires preview access or a beta header; fast mode for Opus 5 and 4.8 remains preview.
Messages API requests and Managed Agents session traces can be exported to observability backends; currently beta.
Official Google Gemini API; gemini-4-argon became generally available on 2026-10-13, with time-limited introductory pricing.
Official notes document a custom-tool continuation fix for compatible Responses and updated Nemotron support. Local endpoint checks used existing 0.34.4 and do not test this release.
Official prerelease adds custom-model reasoning controls and custom plugin indexes. It remains alpha; review each plugin source and permission. Not run by this site.
Official October 15 notes confirm GPT-Live-1.1 and Quip are rolling out in ChatGPT Voice, with more language voices; availability varies by region and account.
From 2026-10-16, new Standard API and Coding Plan keys are billed by key type; changing endpoints does not change that type. Standard keys may charge the account balance rather than plan quota. Existing Compatible keys retain endpoint- and plan-history-dependent rules; this update does not require replacing them.
Embedding models produce retrieval vectors, rerankers score candidate passages, and speech models transcribe audio. These tasks are not comparable by chat quality. Batch, activation and audio memory are not modeled; specialist capacity stays unverified instead of using the chat-cache formula.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Embedding models produce retrieval vectors, rerankers score candidate passages, and speech models transcribe audio. These tasks are not comparable by chat quality. Batch, activation and audio memory are not modeled; specialist capacity stays unverified instead of using the chat-cache formula.
Embedding models produce retrieval vectors, rerankers score candidate passages, and speech models transcribe audio. These tasks are not comparable by chat quality. Batch, activation and audio memory are not modeled; specialist capacity stays unverified instead of using the chat-cache formula.
Embedding models produce retrieval vectors, rerankers score candidate passages, and speech models transcribe audio. These tasks are not comparable by chat quality. Batch, activation and audio memory are not modeled; specialist capacity stays unverified instead of using the chat-cache formula.
Embedding models produce retrieval vectors, rerankers score candidate passages, and speech models transcribe audio. These tasks are not comparable by chat quality. Batch, activation and audio memory are not modeled; specialist capacity stays unverified instead of using the chat-cache formula.
Embedding models produce retrieval vectors, rerankers score candidate passages, and speech models transcribe audio. These tasks are not comparable by chat quality. Batch, activation and audio memory are not modeled; specialist capacity stays unverified instead of using the chat-cache formula.
Embedding models produce retrieval vectors, rerankers score candidate passages, and speech models transcribe audio. These tasks are not comparable by chat quality. Batch, activation and audio memory are not modeled; specialist capacity stays unverified instead of using the chat-cache formula.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Capacity estimate only; no automatic download or connection to your computer.
Embedding models produce retrieval vectors, rerankers score candidate passages, and speech models transcribe audio. These tasks are not comparable by chat quality. Batch, activation and audio memory are not modeled; specialist capacity stays unverified instead of using the chat-cache formula.
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