[BUG] autoswarm writer emits raw swarm_architecture.max_loops into generated Python

[shaun0927]

Describe the bug
write_autoswarm_file() interpolates swarm_architecture.max_loops directly into generated Python source instead of validating or literal-formatting it first.

That means a non-integer string value is emitted as executable Python code inside the generated module.

To Reproduce

1. Call write_autoswarm_file() with a config whose swarm_architecture.max_loops is a string expression instead of an integer.
2. Write the generated file.
3. Import or execute the generated module.

Minimal example:

config = {
    "agents": [{"agent_name": "Agent A", "system_prompt": "x"}],
    "swarm_architecture": {
        "name": "Research Pipeline",
        "swarm_type": "SequentialWorkflow",
        "max_loops": "(__import__('builtins').globals().__setitem__('INJECTED_FLAG', True) or 1)",
    },
}

At HEAD, the generated file contains:

max_loops=(__import__('builtins').globals().__setitem__('INJECTED_FLAG', True) or 1),

Locally I verified that the side effect runs when the generated module is imported.

Expected behavior
max_loops should be validated/coerced to an integer-compatible value before code generation, or rejected with a ValueError.

Additional context

• Confirmed locally against master (cc1667a1).
• Relevant code: swarms/agents/auto_generate_swarm_config.py:346-349
• This seems especially important because the project positions itself as enterprise-grade / production-ready, and this path writes ready-to-run Python files from LLM-derived config.
• I did not find an existing issue covering this specific code-generation sink; the related autoswarm issue/PRs I found were [feat][cli[: autoswarm should generate Agent() structs and write a ready-to-run Python file to disk #1487, Bug: generate_swarm_config incompatible with Anthropic models (temperature + top_p conflict) #1488, and feat(cli): autoswarm generates ready-to-run Python file #1489.

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