The official TypeScript library for the Anthropic Vertex API
The **[Anthropic provider](https://ai-sdk.dev/providers/ai-sdk-providers/anthropic)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the [Anthropic Messages API](https://docs.anthropic.com/claude/reference/messages_post).
The official TypeScript library for the Anthropic Bedrock API
Native binary for Claude Code on linux-x64
The official TypeScript library for the Anthropic API
Native CLI binary for @anthropic-ai/claude-agent-sdk on linux-x64
AI SDK by Vercel - build apps like ChatGPT, Claude, Gemini, and more with a single interface for any model using the Vercel AI Gateway or go direct to OpenAI, Anthropic, Google, or any other model provider.
Native CLI binary for @anthropic-ai/claude-agent-sdk on linux-x64-musl
Native binary for Claude Code on win32-x64
Native binary for Claude Code on darwin-arm64
SDK for building AI agents with Claude Code's capabilities. Programmatically interact with Claude to build autonomous agents that can understand codebases, edit files, and execute workflows.
Native binary for Claude Code on linux-arm64
Anthropic Instrumentaion
Native binary for Claude Code on linux-x64-musl
Higher-order functions and common patterns for asynchronous code
Anthropic integrations for LangChain.js
Claude tokenizer
Native CLI binary for @anthropic-ai/claude-agent-sdk on linux-arm64-musl
Native CLI binary for @anthropic-ai/claude-agent-sdk on win32-x64
Native CLI binary for @anthropic-ai/claude-agent-sdk on linux-arm64
Determine if a function is a native async function.
A function that returns the normally hidden `AsyncFunction` constructor
Helper function to remap async functions to generators
Native CLI binary for @anthropic-ai/claude-agent-sdk on darwin-arm64
Track and attribute LLM costs across OpenAI, Anthropic, and other providers. Async by default, never slows down your app. Supports per-request attribution by agent, feature, team, and custom tags.
llm.rb is Ruby's most capable AI runtime. It runs on Ruby's standard library by default. loads optional pieces only when needed, and offers a single runtime for providers, agents, tools, skills, MCP, A2A (Agent2Agent), RAG (vector stores & embeddings), streaming, files, and persisted state. As a bonus, llm.rb is also available for mruby. It supports OpenAI, OpenAI-compatible endpoints, Anthropic, Google Gemini, DeepSeek, xAI, Z.ai, AWS Bedrock, Ollama, and llama.cpp. It also includes built-in ActiveRecord and Sequel support, plus concurrent tool execution through threads, tasks (via async gem), fibers, ractors, and fork (via xchan.rb gem).
RCrewAI is a powerful Ruby framework for creating autonomous AI agent crews that collaborate to solve complex tasks. Build intelligent workflows with reasoning agents, tool usage, memory systems, and human oversight. Key Features: • Multi-Agent Orchestration: Create crews of specialized AI agents that work together • Multi-LLM Support: OpenAI GPT-4, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Rich Tool Ecosystem: Web search, file operations, SQL databases, email, code execution, PDF processing • Agent Memory: Short-term and long-term memory for learning from past executions • Human-in-the-Loop: Interactive approval workflows and collaborative decision making • Advanced Task Management: Dependencies, retries, async execution, and context sharing • Hierarchical Teams: Manager agents that coordinate and delegate to specialist agents • Production Ready: Security controls, error handling, comprehensive logging, and monitoring • Ruby-First Design: Built specifically for Ruby developers with idiomatic patterns • CLI Tools: Command-line interface for creating and managing AI crews
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