Agent in Sandbox (Anthropic)

import anthropic
from declaw import Sandbox

client = anthropic.Anthropic()

task = "Write a Python script that computes the Fibonacci sequence up to the 20th number."

message = client.messages.create(
    model="claude-sonnet-4-20250514",
    max_tokens=1024,
    messages=[
        {
            "role": "user",
            "content": (
                f"You are a code generation agent. Given a task, respond "
                f"ONLY with Python code that accomplishes the task and "
                f"prints the results. No markdown fences, no explanation.\n\n"
                f"Task: {task}"
            ),
        },
    ],
)

code = strip_code_fences(message.content[0].text)

sbx = Sandbox.create(template="python", timeout=300)
try:
    sbx.files.write("/tmp/generated.py", code)
    result = sbx.commands.run("python3 /tmp/generated.py", timeout=30)
    print(result.stdout)
finally:
    sbx.kill()

simulated_code = textwrap.dedent("""\
    import re

    text = (
        "The quick brown fox jumps over the lazy dog. "
        "Pack my box with five dozen liquor jugs."
    )

    sentences = [s.strip() for s in re.split(r'[.!?]+', text) if s.strip()]
    words = text.split()
    syllable_count = sum(
        max(1, len(re.findall(r'[aeiouy]+', w.lower())))
        for w in words
    )
    avg_sentence_length = round(len(words) / len(sentences), 2)
    avg_syllables_per_word = round(syllable_count / len(words), 2)

    flesch = round(206.835 - 1.015 * avg_sentence_length - 84.6 * avg_syllables_per_word, 1)
    print(f"Flesch Reading Ease: {flesch}")
""")

sbx = Sandbox.create(template="python", timeout=300)
try:
    sbx.files.write("/tmp/generated.py", simulated_code)
    result = sbx.commands.run("python3 /tmp/generated.py", timeout=30)
    print(result.stdout)
finally:
    sbx.kill()

Agent in Sandbox (Anthropic) Example
============================================================
ANTHROPIC_API_KEY not set — running in demo mode.

--- Demo: Simulating Anthropic Claude agent workflow ---

  Simulated task: Analyze text and compute readability statistics
  Creating sandbox and executing...
  Sandbox created: sbx-abc123

  Output:
    === Text Readability Analysis ===
      Sentences:             4
      Words:                 36
      Characters (alpha):    151
      Syllables (approx):    46
      Avg word length:       4.19
      Avg sentence length:   9.0
      Avg syllables/word:    1.28
      Flesch Reading Ease:   67.2
      Readability:           Easy to read

  Sandbox sbx-abc123 killed.