Pypi anthropic. pip install -U langchain-anthropic.

Pypi anthropic Anthropic Bedrock Python API library. Homepage Repository Meta. Agent S2: An Open, Modular, and Scalable Framework for Computer Use Agents 🌐 📄 [S2 Paper] (Coming Soon) 🎥 🗨️ 🌐 📄 🎥 . config/gpt-cli/gpt. LLM access to models by Anthropic, including the Claude series. Initialize the model as: from langchain_anthropic import ChatAnthropicMessages from langchain_core. Claudetools is a Python library that provides a convenient way to use Claude 3 family's structured data generation capabilities for function calling. Initialize The official Python library for the anthropic API. It includes type definitions for all request params and response fields, Gptcmd-anthropic adds support for Anthropic's Claude models to Gptcmd. The Anthropic Bedrock Python library provides convenient access to the Anthropic Bedrock REST API from any Python 3. import os from anthropic import Anthropic client = Anthropic ( api_key = os. : server, client: Conversational Retriever A Conversational Retriever exposed via LangServe: server, client: Agent without conversation history based on Hashes for llama_index_llms_anthropic-0. Plugin for LLM adding support for Anthropic's Claude models. For that, you first import all of the necessary modules and create a client with your API key: Client library for the anthropic-bedrock API. export ANTHROPIC_API_KEY = <your_key_here> or a config line in ~/. FastAPI revolutionized web development by offering an innovative and ergonomic design, built on the foundation of Pydantic. Installation pip install opentelemetry-instrumentation-anthropic Example usage Integrate with 100+ LLM models (OpenAI, Anthropic, Google etc) for transcript generation; See CHANGELOG for more details. 8. The budget_tokens parameter determines the maximum number of tokens Claude is allowed to use for its internal reasoning process. env file and copy and run the code below (you can toggle between Python and TypeScript in the top left of # install from PyPI pip install anthropic. 4. It leverages the Message Control Protocol (MCP) to provide seamless access to different LLM providers, making it easy to switch between models or use multiple models in the same application. We are passionate about supporting contributors of all levels of experience and would love to see you get involved in the project. Mirascope is a powerful, flexible, and user-friendly library that simplifies the process of working with LLMs through a unified interface that works across various supported providers, including OpenAI, Anthropic, Mistral, Google (Gemini/Vertex), Groq, Cohere, LiteLLM, Azure AI, and Bedrock. For the non-Bedrock Anthropic API at AutoGen Extensions. 1. 0. It provides a streamlined way to register functions, automatically generate schemas, and enable LLMs to use these tools in a conversational context. 25. 2 OpenTelemetry Anthropic Instrumentation. pip install gat_llm; Set up your API keys (depending on what tools and LLM providers you need): It connects to any number of configured MCP servers, makes their tools available to language models (OpenAI, Anthropic, Ollama), and provides a conversational interface for accessing and manipulating data Install from PyPI (Recommended) pip install dolphin-mcp This will install both the library and the dolphin-mcp-cli command # install from PyPI pip install anthropic Usage. Search PyPI Search. environ. Basic concept. A flexible and extensible framework for building AI agents powered by large language models (LLMs). Automate tooluse with LLMs. py). This codebase was originally designed to replicate Anthropic's sparse autoencoder visualizations, which you can see here. 🔖 Features. Like the mihrab that guides prayer in a mosque, this framework provides direction and guidance through seamless integration with multiple LLM providers, intelligent provider fallback, and memory-enabled agents. Anthropic is an AI research company focused on developing advanced language models, notably the Claude series. With a little extra set up you can also run with open source models, like WizardCoder. Features. 11 or higher $ pip install ffmpeg (for audio processing) Setup. The REST API documentation llm-anthropic. The function calling capabilities are similar to ones available with OpenAI models. Anthropic Claude. This is a command line tool that allows you to interact with the Anthropic API using the Anthropic Python SDK. , those with an OpenAI or Scrape-AI. To use, you should have an Anthropic API key configured. import os from anthropic import Anthropic client = Anthropic ( # This is the default and can be omitted api_key = os. Documentation; AutoGen is designed to be extensible. anthropic-sdk-python Anthropic Python API library. Additional configuration is needed to use Anthropic’s Client SDKs through a partner platform. The maintainers of this project have marked this project as archived. 0 of gui-agents, the new state-of-the-art for computer use, outperforming OpenAI's CUA/Operator and Anthropic's Claude 3. See the documentation for example instructions. Minimal Python library to connect to LLMs (OpenAI, Anthropic, Google, Mistral, OpenRouter, Reka, Groq, Together, Ollama, AI21, Cohere, Aleph-Alpha, HuggingfaceHub Unified API: Consistent interface for OpenAI, Anthropic, and Perplexity LLMs; Response Caching: Persistent JSON-based caching of responses to improve performance; Streaming Support: Real-time streaming of LLM responses (Anthropic only) JSON Mode: Structured JSON responses (OpenAI and Anthropic) Citations: Access to source information Install the package from PyPi: pip install needlehaystack Run Test. 0) Author: Gal Kleinman; Requires: Python >=3. After getting the API key, you can add an environment variable. Our CodeAgent writes its actions in code (as opposed to "agents being used to write code"). 1", temperature=0, max_tokens=1024) llm-claude-3 is now llm-anthropic. get llama-index llms anthropic integration. 2025/03/12: Released Agent S2 along with v0. Model Context Protocol documentation; Model Context Protocol specification; Officially supported servers; Contributing. It is a thin wrapper around python client libraries, and allows creators to seamlessly Anthropic may make changes to their official product or APIs at any time, which could affect the functionality of this unofficial API. You can then run the analysis on OpenAI or Anthropic models with the following command line arguments: provider - The provider of the model, available options are openai and anthropic. Chat Models. ) and fetch data based on a user query from websites in real-time. Set up your API keys. 🥳 Updates. Installation pip install opentelemetry-instrumentation-anthropic Example usage NOTDIAMOND_API_KEY = "YOUR_NOTDIAMOND_API_KEY" OPENAI_API_KEY = "YOUR_OPENAI_API_KEY" ANTHROPIC_API_KEY = "YOUR_ANTHROPIC_API_KEY" Sending your first Not Diamond API request. Whether you're generating text, extracting structured information, or MihrabAI. Installation pip install opentelemetry-instrumentation-anthropic Example usage Chatlet. gz; Algorithm Hash digest; SHA256: c581e5bfe356b2fda368c2e21d67f4c4f4bfc4f5c819b3898b62b1105f757ef2: Copy : MD5 llama-index llms anthropic integration. Skip to main content Switch to mobile version . with_options (max_retries = 5). Direct Parameter: Provide API keys directly via code or CLI. # install from PyPI pip install anthropic Usage. 0,) # More granular control: anthropic = Anthropic (timeout = httpx. If The Anthropic Python library provides convenient access to the Anthropic REST API from any P For the AWS Bedrock API, see anthropic-bedrock. Start using the package by calling the entry point needlehaystack. A flexible interface for working with various LLM providers LLM Bridge MCP. 7 Sonnet! OpenTelemetry Anthropic Instrumentation. Send text messages to the Anthropic API from anthropic import Anthropic # Configure the default for all requests: client = Anthropic (# 20 seconds (default is 10 minutes) timeout = 20. Install from PyPI $ pip install podcastfy. Instructor is the most popular Python library for working with structured outputs from large language models (LLMs), boasting over 1 million monthly downloads. Documentation. LLX is a Python-based command-line interface (CLI) that makes it easy to interact with various Large Language Model (LLM) providers. SAEDashboard primarily provides visualizations of features, including their activations, logits, and correlations--similar to what is Implementing extended thinking. Usage. ; 🌊 Flexible agent responses — Support for both streaming and non-streaming responses from different Hashes for llama_index_multi_modal_llms_anthropic-0. It includes type definitions for all request params and response fields, and offers both synchronous and asynchronous clients powered by httpx. from anthropic import Anthropic, HUMAN_PROMPT, AI_PROMPT # Configure the default for all requests: anthropic = Anthropic (# default is 2 max_retries = 0,) # Or, configure per-request: anthropic. However, we strongly encourage others to build their own components and publish them as part of the ecosytem. The dagster_anthropic module is available as a PyPI package - install with your preferred python environment manager (We recommend uv). License: MIT License (MIT) Author: Anthropic Bedrock; Requires: Python >=3. It includes type definitions for all request params and response fields, and offers both synchronous and asynchronous clients powered by httpx. gz; Algorithm Hash digest; SHA256: 61f523b10eb190e141ab7d4fe4abe2677d9118f8baeecf7691e953c4168315e3 Please check your connection, disable any ad blockers, or try using a different browser. LLX - A CLI for Interacting with Large Language Models. get A Python client for Puter AI API - free access to GPT-4 and Claude Description Links; LLMs Minimal example that reserves OpenAI and Anthropic chat models. This library allows tracing Anthropic prompts and completions sent with the official Anthropic library. smolagents is a library that enables you to run powerful agents in a few lines of code. LlamaIndex LLM Integration: Anthropic. Install this plugin in the same environment as LLM. Inspired by Claudette, which supports only Anthropic Claude. env file in your project's root directory: OPENAI_API_KEY=your_openai_api_key ANTHROPIC_API_KEY=your_anthropic_api_key Development Requirements. Skip to main content Switch to mobile version These details have not been verified by PyPI Project links. The token tracking mechanism relies on Open WebUI's pipes feature. 1, <4 Classifiers. 5 and OpenAI o1 to be provide the best performance for VisionAgent. Anthropic recommends We provide libraries in Python and TypeScript that make it easier to work with the Anthropic API. server, client: Retriever Simple server that exposes a retriever as a runnable. License: Apache Software License (Apache-2. Create a new file in the same directory as your . It allows you to configure the library to use a specific LLM (such as OpenAI, Anthropic, Azure OpenAI, etc. Model Context Protocol (MCP), an open source technology announced by Anthropic, dramatically expands LLM’s scope by enabling external tool and resource integration, including Google Drive, Slack, OpenTelemetry Anthropic Instrumentation. Your first conversation . Claudetools. The autogen-ext package contains many different component implementations maintained by the AutoGen project. venv/bin/activate uv pip install dagster-anthropic Example Usage LLM plugin for Anthropic's Claude. Installation pip install opentelemetry-instrumentation-anthropic Example usage Hashes for pinjected_anthropic-0. Larger budgets can improve response quality by enabling more thorough analysis for complex PydanticAI is a Python agent framework designed to make it less painful to build production grade applications with Generative AI. Python export ANTHROPIC_API_KEY = "your-api-key" export OPENAI_API_KEY = "your-api-key" NOTE: We found using both Anthropic Claude-3. If you want to use a different LLM provider or only one, see 'Using Other LLM Providers' below. yml: anthropic_api_key: <your_key_here> OpenTelemetry Anthropic Instrumentation. A library to support token tracking and limiting in Open WebUI. 7+ OpenTelemetry Anthropic Instrumentation. This notebook provides a quick overview for getting started with Anthropic chat models. 0 or later, and an Anthropic API key are required to use this bedrock-anthropic is a python library for interacting with Anthropic's models on AWS Bedrock. Simple, unified interface to multiple Generative AI providers. This package is intended to simplify the use of Model Context Protocol (MCP) server tools with LangChain / Python. Currently supported: Azure OpenAI Resource endpoint API, OpenAI Official API, and Anthropic Claude series model API. NOTE: This CLI has been programmed by Claude 3. aisuite makes it easy for developers to use multiple LLM through a standardized interface. The official Python library for the anthropic API. dagster-anthropic. 这是一个用于访问Anthropic REST API的Python库，支持Python 3. gz; Algorithm Hash digest; SHA256: c5913ccd1a81aec484dfeacf1a69d7fec6b9c747bd6edd3bda3c159d2366a5a9: Copy Contribute to anthropics/anthropic-sdk-python development by creating an account on GitHub. 🧠 Intelligent intent classification — Dynamically route queries to the most suitable agent based on context and content. The full API of this library can be found in api. It includes type definitions for all request params and The Anthropic Python library provides convenient access to the Anthropic REST API from any Python 3. Quickstart 💻 Prerequisites. Installation pip install opentelemetry-instrumentation-anthropic Example usage Superduper allows users to work with anthropic API models. 3. To use Claude, you should have an API key from Anthropic (currently there is a waitlist for API access). Using an interface similar to OpenAI's, aisuite makes it easy to interact with the most popular LLMs and compare the results. langchain-anthropic. 0 Classifiers. The key integration is the integration of high-quality API-hosted LLM services. A Python package that makes it easy for developers to create machine learning apps powered by various AI providers. You can see their recommended models here. Created langchain-anthropic. 无论你进行什么具体任务，任何 API 调用都会向 Anthropic API 发送一个配置良好的提示。在学习如何充分利用 Claude 时，我们建议你从 Workbench（一个基于网络的 Claude 界面）开始开发过程。 登录 Anthropic Console 并点击 Write a prompt from scratch。 A programming framework for agentic AI ai-gradio. anthropic 0. This package contains the LangChain integration for Anthropic's generative models. run_test from command line. 7, <4. create (prompt = f " {HUMAN_PROMPT} Can you help me effectively ask for a raise at work? from anthropic import Anthropic, HUMAN_PROMPT, AI_PROMPT # Configure the default for all requests: anthropic = Anthropic (# default is 10 minutes timeout = 20. It offers: Simplicity: the logic for agents fits in ~1,000 lines of code (see agents. completions. You have to use pipes for all models whose token usage you want to track, even the ones that would normally be supported natively by Open WebUI, i. Similarly, virtually every agent framework and LLM library in Python uses Pydantic, yet when we began 通过合作伙伴平台使用 Anthropic 的客户端 SDK 需要额外的配置。如果您使用的是 Amazon Bedrock，请参阅本指南；如果您使用的是 Google Cloud Vertex AI，请参阅本指南。 To use, you should have an Anthropic API key configured. To use this code and run the implemented tools, follow these steps: With PIP. Add the thinking parameter and a specified token budget to use for extended thinking to your API request. Project description ; Release history ; Download files The official Python library for the anthropic API MCP To LangChain Tools Conversion Utility . The Anthropic Python library provides convenient access to the Anthropic REST API from any Python 3. llm install llm-anthropic langchain-anthropic. messages import AIMessage, HumanMessage model = ChatAnthropicMessages(model="claude-2. Navigation. tar. aisuite. . Built on top of Gradio, it provides a unified interface for multiple AI models and services. tooluse - Seamless Function Integration for LLMs. md. 7+版本。该SDK提供同步和异步客户端，包含完整的请求参数和响应字段类型定义。它支持流式响应、令牌计数和工具使用等功能，并兼容AWS Bedrock和Google Vertex AI平台。此外，SDK还包含错误处理、自动重试和超时设置等高级特性，方便开发者将 . The easiest way to use anthropic-tools is through the conversation interface. A dagster module that provides integration with Anthropic. pip install -U langchain-anthropic. source . Chatlet is a Python wrapper for the OpenRouter API, providing an easy-to-use interface for interacting with various AI models. Claude AI-API ( Unofficial ) This project provides an unofficial API for Claude AI from Anthropic, allowing users to access and interact with Claude AI and trying out experiments with the same. You can send messages, including text and images, to the API and receive responses. Anthropic API Command Line Tool. Using this Code. Meta. With claudetools one can now use any model from the Claude 3 family of models for function calling. We do not guarantee the accuracy, reliability, or security of the information and data retrieved using this API. Scrape-AI is a Python library designed to intelligently scrape data from websites using a combination of LLMs (Large Language Models) and Selenium for dynamic web interactions. Documentation Add your description here Instructor, The Most Popular Library for Simple Structured Outputs. For detailed documentation of all ChatAnthropic features and configurations head to the API The Anthropic Bedrock Python library provides convenient access to the Anthropic Bedrock REST API from any Python 3. # install from PyPI pip install anthropic. tooluse is a Python package that simplifies the integration of custom functions (tools) with Large Language Models (LLMs). Uses async, supports batching and streaming. e. env File: Create a . 18. Anthropic may make changes to their official product or APIs at any time, which could affect the functionality of this unofficial API. OpenTelemetry Anthropic Instrumentation. Installation. 6 or later, Gptcmd 2. 2. Environment Variables: Set OPENAI_API_KEY or ANTHROPIC_API_KEY environment variables. 0,) # More granular control: client = Anthropic (timeout = httpx. from anthropic import Anthropic # Configure the default for all requests: client = Anthropic (# 20 seconds (default is 10 minutes) timeout = 20. 21. These details have not been verified by PyPI. It makes it really easy to use Anthropic's models in your application. This project has been archived. Skip to main content Switch to mobile version Multi-Agent Orchestrator Flexible and powerful framework for managing multiple AI agents and handling complex conversations. Unlike openai-functions, since Anthropic does not support forcing the model to generate a specific function call, the only way of using it is as an assistant with access to tools. The official Python library for the anthropic-bedrock API langchain-anthropic. Use only one line of code to call multiple model APIs similar to ChatGPT. We kept abstractions to their minimal shape above raw code! 🧑‍💻 First-class support for Code Agents. Initialize Client library for the anthropic-bedrock API. 7+ application. LLM Bridge MCP allows AI agents to interact with multiple large language models through a standardized interface. 4 llama-index llms anthropic integration. Installation pip install opentelemetry-instrumentation-anthropic Example usage Open WebUI Token Tracking. Python 3. By default, gpt-engineer supports OpenAI Models via the OpenAI API or Azure Open AI API, and Anthropic models. Anthropic recommends using their chat models over text completions. enmrig wwggl ilad icvl xazlra wuhg lwzfsc mhgk xqzpyn afvsuvxwu ejjb obdjmvu uvw wlxkux kiftjp