Claude
docs.claude.com › en › api › client-sdks
Client SDKs - Claude Docs
Additional configuration is needed to use Anthropic’s Client SDKs through a partner platform. If you are using Amazon Bedrock, see this guide; if you are using Google Cloud Vertex AI, see this guide; if you are using Microsoft Foundry, see this guide. Python library GitHub repo Requirements: Python 3.8+ Installation:
GitHub
github.com › anthropics › anthropic-sdk-python
GitHub - anthropics/anthropic-sdk-python
It includes type definitions for all request params and response fields, and offers both synchronous and asynchronous clients powered by httpx. The REST API documentation can be found on docs.anthropic.com.
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Claude AI - API document upload
I think the chat interface uses pdf2txt.py/pdfminer, which is one of the best when it comes to columns, spacing, and similar layout ambiguities. https://pdfminersix.readthedocs.io/en/latest/reference/commandline.html More on reddit.com
Project Guide: AI-Powered Documentation Generator for Codebases
I think an AI powered documentation generator is a bad idea. the best documentation explains why you didnt take an alternative approach. good documentation explains why you took an approach. ok documentation merely explains what code does. I'm curious if you have thoughts on how you can move AI generated documentation closer to the "why we wrote it this way" and "why we didnt go the other path" type docs. With AI documentation I frequently see very tautological and non-value-added documentation. not always. it can be great at 'summarizing' complex code - here's a 400 line function, here's 2 sentences on what it does: I see value there. More on reddit.com
Anthropic released an official Python SDK for Claude Code
What are some use cases for this? More on reddit.com
Videos
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PyPI
pypi.org › project › anthropic › 0.3.9
Anthropic Python API Library
The Anthropic Python library provides convenient access to the Anthropic REST API from any Python 3.7+ application.
» pip install anthropic
Anthropic
anthropic.com › learn › build-with-claude
Anthropic Academy: Claude API Development Guide
Quickly get started with building applications by using the Anthropic Quickstarts repo · Review the full API documentation for all features and products
Llamaindex
developers.llamaindex.ai › python › examples › llm › anthropic
Anthropic | LlamaIndex Python Documentation
LlamaIndex provides an intuitive interface for converting any Anthropic LLMs into a structured LLM through structured_predict - simply define the target Pydantic class (can be nested), and given a prompt, we extract out the desired object.
LangChain
python.langchain.com › api_reference › community › llms › langchain_community.llms.anthropic.Anthropic.html
Anthropic — 🦜🔗 LangChain documentation
To use, you should have the anthropic python package installed, and the environment variable ANTHROPIC_API_KEY set with your API key, or pass it as a named parameter to the constructor.
GitHub
github.com › anthropics › anthropic-sdk-python › releases
Releases · anthropics/anthropic-sdk-python
anthropics / anthropic-sdk-python Public · Notifications · You must be signed in to change notification settings · Fork 411 · Star 2.5k · Releases · anthropics/anthropic-sdk-python · 24 Nov 20:41 · stainless-app · v0.75.0 · 2eb9415 · Compare · Filter ·
Author anthropics
Restack
restack.io › p › anthropic-answer-api-key-python-cat-ai
Anthropic Api Key Python Guide | Restackio
If you are using the Python SDK, you can also pass the API key directly when initializing the client. Here’s how you can do it: import anthropic client = anthropic.Anthropic(api_key='your-api-key-here')
PyPI
pypi.org › project › anthropic › 0.2.5
Anthropic Python SDK
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GitHub
github.com › anthropics › anthropic-bedrock-python
GitHub - anthropics/anthropic-bedrock-python
Starred by 50 users
Forked by 7 users
PyPI
pypi.org › project › anthropic › 0.3.11
anthropic · PyPI
This helps provide autocomplete and documentation within your editor. If you would like to see type errors in VS Code to help catch bugs earlier, set python.analysis.typeCheckingMode to "basic". You can estimate billing for a given request with the client.count_tokens() method, eg: client = Anthropic() client.count_tokens('Hello world!') # 3
» pip install anthropic