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This guide shows you how to connect Claude models to E2B sandboxes for code execution.

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Latest Claude models

ModelAPI IDBest for
Claude Sonnet 4.5claude-sonnet-4-5-20250929Complex agents and coding
Claude Haiku 4.5claude-haiku-4-5-20251001Fast, cost-efficient tasks
Claude Opus 4.5claude-opus-4-5-20251101Maximum intelligence

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Simple code execution

# pip install anthropic e2b-code-interpreter
from anthropic import Anthropic
from e2b_code_interpreter import Sandbox

client = Anthropic()

response = client.messages.create(
    model="claude-sonnet-4-5-20250929",
    max_tokens=1024,
    system="You are a helpful assistant that writes Python code. Only respond with the code to execute, no backticks or explanations.",
    messages=[{"role": "user", "content": "Calculate the first 10 Fibonacci numbers"}]
)

code = response.content[0].text

with Sandbox() as sandbox:
    execution = sandbox.run_code(code)
    print(execution.text)

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Tool use (function calling)

Claude’s tool use lets the model decide when to execute code. 
# pip install anthropic e2b-code-interpreter
from anthropic import Anthropic
from e2b_code_interpreter import Sandbox

client = Anthropic()
model = "claude-sonnet-4-5-20250929"

tools = [{
    "name": "execute_python",
    "description": "Execute Python code in a Jupyter notebook cell and return the result",
    "input_schema": {
        "type": "object",
        "properties": {
            "code": {
                "type": "string",
                "description": "The Python code to execute"
            }
        },
        "required": ["code"]
    }
}]

messages = [{"role": "user", "content": "What's the sum of the first 100 prime numbers?"}]

# First API call - Claude decides to use the tool
response = client.messages.create(
    model=model,
    max_tokens=1024,
    tools=tools,
    messages=messages
)

messages.append({"role": "assistant", "content": response.content})

# Execute the tool if called
if response.stop_reason == "tool_use":
    tool_use = next(block for block in response.content if block.type == "tool_use")
    
    with Sandbox() as sandbox:
        execution = sandbox.run_code(tool_use.input["code"])
        result = execution.text

    messages.append({
        "role": "user",
        "content": [{
            "type": "tool_result",
            "tool_use_id": tool_use.id,
            "content": result
        }]
    })

    # Second API call - Claude provides the final answer
    final_response = client.messages.create(
        model=model,
        max_tokens=1024,
        tools=tools,
        messages=messages
    )
    print(final_response.content[0].text)

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Extended thinking

Claude 4 models support extended thinking for complex reasoning tasks.
Python
from anthropic import Anthropic
from e2b_code_interpreter import Sandbox

client = Anthropic()

response = client.messages.create(
    model="claude-sonnet-4-5-20250929",
    max_tokens=16000,
    thinking={
        "type": "enabled",
        "budget_tokens": 10000
    },
    messages=[{
        "role": "user", 
        "content": "Write Python code to solve the traveling salesman problem for 5 cities using dynamic programming"
    }]
)

# Extract the code from the response (after thinking)
for block in response.content:
    if block.type == "text":
        code = block.text
        break

with Sandbox() as sandbox:
    execution = sandbox.run_code(code)
    print(execution.text)

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Next steps

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