import anthropic

client = anthropic.Anthropic()

message = client.messages.create(
  model="claude-opus-4-7",
  max_tokens=1024,
  messages=[{
    "role": "user",
    "content": "Hello, Claude"
  }]
)
print(message.content[0].text)

Platform

Choose how you build

Pick the developer surface that matches your approach, and the infrastructure that fits your stack.

Messages

Direct model access. You construct every turn, manage conversation state, and write your own tool loop.

Quickstart

API reference

Client SDKs

Claude Managed Agents

Fully managed agent infrastructure. Deploy and manage autonomous agents in stateful sessions with persistent event history.

Google Cloud Vertex AI

Microsoft Foundry

Developer journey

From idea to production

Follow the lifecycle or jump to what you need.

Get started
Quickstart
Get API key
Choose a model
Install an SDK
Try the Workbench
Build
Messages API
Extended thinking
Vision
Tool use
Web search
Code execution
Structured outputs
Prompt caching
Streaming
Evaluate & ship
Prompting best practices
Run evals
Batch testing
Safety & guardrails
Rate limits & errors
Cost optimization
Operate
Workspaces & admin
API key management
Usage monitoring
Model migration

Models

The Claude model family

Choose the right model for your use case.

Most capable

Opus 4.7

Best for complex analysis, coding, and creative tasks requiring deep reasoning.

Best balance

Sonnet 4.6

Ideal balance of intelligence and speed for most production workloads.

Fastest

Haiku 4.5

Lightning-fast responses for high-volume, latency-sensitive applications.

Resources

Keep learning

Courses

Interactive courses to master Claude.

Cookbook

Code samples and patterns.

Quickstarts

Deployable starter apps.

What's new

Latest features and updates.

Claude Code

An agentic coding assistant in your terminal.

Solutions

AI agents
Code modernization
Coding
Customer support
Education
Financial services
Government
Life sciences

Partners

Amazon Bedrock
Google Cloud's Vertex AI

Learn

Blog
Courses
Use cases
Connectors
Customer stories
Engineering at Anthropic
Events
Powered by Claude
Service partners
Startups program

Company

Anthropic
Careers
Economic Futures
Research
News
Responsible Scaling Policy
Security and compliance
Transparency

Learn

Blog
Courses
Use cases
Connectors
Customer stories
Engineering at Anthropic
Events
Powered by Claude
Service partners
Startups program

Help and security

Availability
Status
Support
Discord

Terms and policies

Privacy policy
Responsible disclosure policy
Terms of service: Commercial
Terms of service: Consumer
Usage policy

Claude Platform

Start building
with Claude

Everything you need to integrate Claude into your applications. From first API call to production.

What do you want to build?

⌘K

Quickstart

Get API key

API reference

import anthropic

client = anthropic.Anthropic()

message = client.messages.create(
  model="claude-opus-4-7",
  max_tokens=1024,
  messages=[{
    "role": "user",
    "content": "Hello, Claude"
  }]
)
print(message.content[0].text)

Platform

Choose how you build

Pick the developer surface that matches your approach, and the infrastructure that fits your stack.

Messages

Direct model access. You construct every turn, manage conversation state, and write your own tool loop.

Quickstart

API reference

Client SDKs

Claude Managed Agents

Fully managed agent infrastructure. Deploy and manage autonomous agents in stateful sessions with persistent event history.

Google Cloud Vertex AI

Microsoft Foundry

Developer journey

From idea to production

Follow the lifecycle or jump to what you need.

Get started
Quickstart
Get API key
Choose a model
Install an SDK
Try the Workbench
Build
Messages API
Extended thinking
Vision
Tool use
Web search
Code execution
Structured outputs
Prompt caching
Streaming
Evaluate & ship
Prompting best practices
Run evals
Batch testing
Safety & guardrails
Rate limits & errors
Cost optimization
Operate
Workspaces & admin
API key management
Usage monitoring
Model migration