Pypi anthropic. The full API of this library can be found in api.
Pypi anthropic , those with an OpenAI or Scrape-AI. This library allows tracing Anthropic prompts and completions sent with the official Anthropic library. A flexible and extensible framework for building AI agents powered by large language models (LLMs). It offers: Simplicity: the logic for agents fits in ~1,000 lines of code (see agents. Skip to main content Switch to mobile version . 6 or later, Gptcmd 2. 0 of gui-agents, the new state-of-the-art for computer use, outperforming OpenAI's CUA/Operator and Anthropic's Claude 3. 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. aisuite makes it easy for developers to use multiple LLM through a standardized interface. Install this plugin in the same environment as LLM. tooluse - Seamless Function Integration for LLMs. 11 or higher $ pip install ffmpeg (for audio processing) Setup. To use this code and run the implemented tools, follow these steps: With PIP. For the non-Bedrock Anthropic API at AutoGen Extensions. Documentation. 1, <4 Classifiers. 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. License: Apache Software License (Apache-2. 4. import os from anthropic import Anthropic client = Anthropic ( api_key = os. 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. 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. env file in your project's root directory: OPENAI_API_KEY=your_openai_api_key ANTHROPIC_API_KEY=your_anthropic_api_key Development Requirements. Basic concept. Initialize Client library for the anthropic-bedrock API. The maintainers of this project have marked this project as archived. config/gpt-cli/gpt. 7+ OpenTelemetry Anthropic Instrumentation. License: MIT License (MIT) Author: Anthropic Bedrock; Requires: Python >=3. : 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. The token tracking mechanism relies on Open WebUI's pipes feature. 3. 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. This notebook provides a quick overview for getting started with Anthropic chat models. Uses async, supports batching and streaming. Navigation. Installation pip install opentelemetry-instrumentation-anthropic Example usage Chatlet. Environment Variables: Set OPENAI_API_KEY or ANTHROPIC_API_KEY environment variables. With a little extra set up you can also run with open source models, like WizardCoder. 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. Instructor is the most popular Python library for working with structured outputs from large language models (LLMs), boasting over 1 million monthly downloads. Direct Parameter: Provide API keys directly via code or CLI. We are passionate about supporting contributors of all levels of experience and would love to see you get involved in the project. 0 Classifiers. 18. Quickstart 💻 Prerequisites. Features. NOTE: This CLI has been programmed by Claude 3. LlamaIndex LLM Integration: Anthropic. 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. The autogen-ext package contains many different component implementations maintained by the AutoGen project. Start using the package by calling the entry point needlehaystack. Plugin for LLM adding support for Anthropic's Claude models. Installation. 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. Agent S2: An Open, Modular, and Scalable Framework for Computer Use Agents 🌐 📄 [S2 Paper] (Coming Soon) 🎥 🗨️ 🌐 📄 🎥 . 2025/03/12: Released Agent S2 along with v0. Currently supported: Azure OpenAI Resource endpoint API, OpenAI Official API, and Anthropic Claude series model API. Search PyPI Search. anthropic 0. Install from PyPI $ pip install podcastfy. 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. Model Context Protocol documentation; Model Context Protocol specification; Officially supported servers; Contributing. The REST API documentation llm-anthropic. 21. Meta. Anthropic API Command Line Tool. yml: anthropic_api_key: <your_key_here> OpenTelemetry Anthropic Instrumentation. source . 0. 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. 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. 1", temperature=0, max_tokens=1024) llm-claude-3 is now llm-anthropic. 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. FastAPI revolutionized web development by offering an innovative and ergonomic design, built on the foundation of Pydantic. messages import AIMessage, HumanMessage model = ChatAnthropicMessages(model="claude-2. If you want to use a different LLM provider or only one, see 'Using Other LLM Providers' below. get llama-index llms anthropic integration. The budget_tokens parameter determines the maximum number of tokens Claude is allowed to use for its internal reasoning process. To use Claude, you should have an API key from Anthropic (currently there is a waitlist for API access). aisuite. Anthropic is an AI research company focused on developing advanced language models, notably the Claude series. It provides a streamlined way to register functions, automatically generate schemas, and enable LLMs to use these tools in a conversational context. We kept abstractions to their minimal shape above raw code! 🧑💻 First-class support for Code Agents. py). 5 and OpenAI o1 to be provide the best performance for VisionAgent. If The Anthropic Python library provides convenient access to the Anthropic REST API from any P For the AWS Bedrock API, see anthropic-bedrock. This is a command line tool that allows you to interact with the Anthropic API using the Anthropic Python SDK. Installation pip install opentelemetry-instrumentation-anthropic Example usage Hashes for pinjected_anthropic-0. LLX is a Python-based command-line interface (CLI) that makes it easy to interact with various Large Language Model (LLM) providers. With claudetools one can now use any model from the Claude 3 family of models for function calling. from anthropic import Anthropic # Configure the default for all requests: client = Anthropic (# 20 seconds (default is 10 minutes) timeout = 20. Anthropic recommends We provide libraries in Python and TypeScript that make it easier to work with the Anthropic API. The dagster_anthropic module is available as a PyPI package - install with your preferred python environment manager (We recommend uv). langchain-anthropic. See the documentation for example instructions. Created langchain-anthropic. environ. export ANTHROPIC_API_KEY = <your_key_here> or a config line in ~/. Skip to main content Switch to mobile version Multi-Agent Orchestrator Flexible and powerful framework for managing multiple AI agents and handling complex conversations. 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. 🧠 Intelligent intent classification — Dynamically route queries to the most suitable agent based on context and content. 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. Your first conversation . Anthropic may make changes to their official product or APIs at any time, which could affect the functionality of this unofficial API. 0) Author: Gal Kleinman; Requires: Python >=3. This package contains the LangChain integration for Anthropic's generative models. 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. 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 . 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. tooluse is a Python package that simplifies the integration of custom functions (tools) with Large Language Models (LLMs). 8. 4 llama-index llms anthropic integration. 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. Python export ANTHROPIC_API_KEY = "your-api-key" export OPENAI_API_KEY = "your-api-key" NOTE: We found using both Anthropic Claude-3. LLX - A CLI for Interacting with Large Language Models. 7, <4. 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. OpenTelemetry Anthropic Instrumentation. 🥳 Updates. dagster-anthropic. A dagster module that provides integration with Anthropic. By default, gpt-engineer supports OpenAI Models via the OpenAI API or Azure Open AI API, and Anthropic models. Initialize the model as: from langchain_anthropic import ChatAnthropicMessages from langchain_core. 0,) # More granular control: client = Anthropic (timeout = httpx. Installation pip install opentelemetry-instrumentation-anthropic Example usage Superduper allows users to work with anthropic API models. Homepage Repository Meta. A library to support token tracking and limiting in Open WebUI. The Anthropic Bedrock Python library provides convenient access to the Anthropic Bedrock REST API from any Python 3. server, client: Retriever Simple server that exposes a retriever as a runnable. e. 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. Project description ; Release history ; Download files The official Python library for the anthropic API MCP To LangChain Tools Conversion Utility . Our CodeAgent writes its actions in code (as opposed to "agents being used to write code"). llm install llm-anthropic langchain-anthropic. Automate tooluse with LLMs. However, we strongly encourage others to build their own components and publish them as part of the ecosytem. Whether you're generating text, extracting structured information, or MihrabAI. 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. import os from anthropic import Anthropic client = Anthropic ( # This is the default and can be omitted api_key = os. completions. 2 OpenTelemetry Anthropic Instrumentation. This codebase was originally designed to replicate Anthropic's sparse autoencoder visualizations, which you can see here. Chat Models. Documentation Add your description here Instructor, The Most Popular Library for Simple Structured Outputs. ; 🌊 Flexible agent responses — Support for both streaming and non-streaming responses from different Hashes for llama_index_multi_modal_llms_anthropic-0. 2. Built on top of Gradio, it provides a unified interface for multiple AI models and services. md. with_options (max_retries = 5). It includes type definitions for all request params and response fields, and offers both synchronous and asynchronous clients powered by httpx. It includes type definitions for all request params and response fields, and offers both synchronous and asynchronous clients powered by httpx. We do not guarantee the accuracy, reliability, or security of the information and data retrieved using this API. Initialize The official Python library for the anthropic API. 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. anthropic-sdk-python Anthropic Python API library. 7 Sonnet! OpenTelemetry Anthropic Instrumentation. To use, you should have an Anthropic API key configured. tar. Skip to main content Switch to mobile version These details have not been verified by PyPI Project links. Anthropic recommends using their chat models over text completions. 7+ application. gz; Algorithm Hash digest; SHA256: c581e5bfe356b2fda368c2e21d67f4c4f4bfc4f5c819b3898b62b1105f757ef2: Copy : MD5 llama-index llms anthropic integration. env File: Create a . These details have not been verified by PyPI. Python 3. 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. The Anthropic Python library provides convenient access to the Anthropic REST API from any Python 3. Add the thinking parameter and a specified token budget to use for extended thinking to your API request. Anthropic Bedrock Python API library. After getting the API key, you can add an environment variable. Inspired by Claudette, which supports only Anthropic Claude. 1. Set up your API keys. Chatlet is a Python wrapper for the OpenRouter API, providing an easy-to-use interface for interacting with various AI models. 25. 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. gz; Algorithm Hash digest; SHA256: c5913ccd1a81aec484dfeacf1a69d7fec6b9c747bd6edd3bda3c159d2366a5a9: Copy Contribute to anthropics/anthropic-sdk-python development by creating an account on GitHub. It includes type definitions for all request params and response fields, Gptcmd-anthropic adds support for Anthropic's Claude models to Gptcmd. The function calling capabilities are similar to ones available with OpenAI models. Using an interface similar to OpenAI's, aisuite makes it easy to interact with the most popular LLMs and compare the results. # install from PyPI pip install anthropic. gz; Algorithm Hash digest; SHA256: 61f523b10eb190e141ab7d4fe4abe2677d9118f8baeecf7691e953c4168315e3 Please check your connection, disable any ad blockers, or try using a different browser. Additional configuration is needed to use Anthropic’s Client SDKs through a partner platform. venv/bin/activate uv pip install dagster-anthropic Example Usage LLM plugin for Anthropic's Claude. Claudetools is a Python library that provides a convenient way to use Claude 3 family's structured data generation capabilities for function calling. Simple, unified interface to multiple Generative AI providers. SAEDashboard primarily provides visualizations of features, including their activations, logits, and correlations--similar to what is Implementing extended thinking. 0,) # More granular control: anthropic = Anthropic (timeout = httpx. LLM Bridge MCP allows AI agents to interact with multiple large language models through a standardized interface. Documentation; AutoGen is designed to be extensible. 这是一个用于访问Anthropic REST API的Python库，支持Python 3. Installation pip install opentelemetry-instrumentation-anthropic Example usage Open WebUI Token Tracking. A flexible interface for working with various LLM providers LLM Bridge MCP. run_test from command line. The official Python library for the anthropic API. ) and fetch data based on a user query from websites in real-time. smolagents is a library that enables you to run powerful agents in a few lines of code. The full API of this library can be found in api. Claudetools. Usage. It makes it really easy to use Anthropic's models in your application. # install from PyPI pip install anthropic Usage. This project has been archived. Create a new file in the same directory as your . pip install -U langchain-anthropic. 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. The easiest way to use anthropic-tools is through the conversation interface. You can see their recommended models here. 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. . 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. It allows you to configure the library to use a specific LLM (such as OpenAI, Anthropic, Azure OpenAI, etc. Using this Code. LLM access to models by Anthropic, including the Claude series. 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. This package is intended to simplify the use of Model Context Protocol (MCP) server tools with LangChain / Python. Anthropic Claude. 🔖 Features. You can send messages, including text and images, to the API and receive responses. A Python package that makes it easy for developers to create machine learning apps powered by various AI providers. The key integration is the integration of high-quality API-hosted LLM services. hncdnpsnssznlrntbxocowadljvfwrdrjyiuouzckixyjpyuirhbiqtnfupftxqmdjqdxjk