Anthropic

Anthropic is an AI safety and research company focused on building reliable, interpretable, and steerable AI systems. Included in their offerings is the Claude AI family of models, which are known for their conversational abilities, careful reasoning, and capacity to follow complex instructions. The Strands Agents SDK implements an Anthropic provider, allowing users to run agents against Claude models directly.

Installation

Anthropic is configured as an optional dependency in Strands Agents. To install, run:

Python

pip install 'strands-agents[anthropic]' strands-agents-tools

TypeScript

npm install @strands-agents/sdk @anthropic-ai/sdk

Usage

After installing dependencies, you can import and initialize the Strands Agents’ Anthropic provider as follows:

Python

from strands import Agent
from strands.models.anthropic import AnthropicModel
from strands_tools import calculator

model = AnthropicModel(
    client_args={
        "api_key": "<KEY>",
    },
    # **model_config
    max_tokens=1028,
    model_id="claude-sonnet-4-6",
    params={
        "temperature": 0.7,
    }
)

agent = Agent(model=model, tools=[calculator])
response = agent("What is 2+2")
print(response)

TypeScript

import { Agent } from '@strands-agents/sdk'
import { AnthropicModel } from '@strands-agents/sdk/models/anthropic'

const model = new AnthropicModel({
  apiKey: process.env.ANTHROPIC_API_KEY || '<KEY>',
  modelId: 'claude-sonnet-4-6',
  maxTokens: 1028,
  params: {
    temperature: 0.7,
  },
})

const agent = new Agent({ model })
const response = await agent.invoke('What is 2+2')
console.log(response)

Configuration

Client Configuration

Python

The client_args configure the underlying Anthropic client. For a complete list of available arguments, please refer to the Anthropic Python SDK docs.

TypeScript

The clientConfig configures the underlying Anthropic client. You can also pass a pre-configured client instance directly (see Custom Client). For a complete list of available options, please refer to the Anthropic TypeScript SDK docs.

Model Configuration

Python

The model_config configures the underlying model selected for inference. The supported configurations are:

Parameter	Description	Example	Options
max_tokens	Maximum number of tokens to generate before stopping	1028	reference
model_id	ID of a model to use	claude-sonnet-4-6	reference
params	Additional pass-through parameters	{"metadata": {"user_id": "u1"}}	reference

TypeScript

Parameter	Description	Example	Options
modelId	ID of a model to use	'claude-sonnet-4-6'	reference
maxTokens	Maximum tokens to generate	1028	reference
stopSequences	Sequences that stop generation	['END']	reference
params	Additional pass-through parameters	{ metadata: { user_id: 'u1' } }	reference

Troubleshooting

Python

Module Not Found

If you encounter the error ModuleNotFoundError: No module named 'anthropic', this means you haven’t installed the anthropic dependency in your environment. To fix, run pip install 'strands-agents[anthropic]'.

TypeScript

Import Errors

If you encounter import errors for @anthropic-ai/sdk, ensure the package is installed: npm install @anthropic-ai/sdk.

Advanced Features

Custom Client

You can pass a pre-configured Anthropic client directly to AnthropicModel. You are responsible for managing the client’s lifecycle.

Python

The Python SDK does not currently support passing a pre-configured client. Use client_args to configure the client at initialization.

TypeScript

import Anthropic from '@anthropic-ai/sdk'
import { Agent } from '@strands-agents/sdk'
import { AnthropicModel } from '@strands-agents/sdk/models/anthropic'

const client = new Anthropic({ apiKey: '<KEY>' })

const model = new AnthropicModel({
  client,
  modelId: 'claude-sonnet-4-6',
  maxTokens: 1028,
})

const agent = new Agent({ model })
const response = await agent.invoke('What is 2+2')
console.log(response)

References

• Python API
• Anthropic