AutoGen Pre-Flight Check

AutoGen Agent Readiness

The pre-flight check for AutoGen applications. Detects GroupChat loops, code execution risks, and message routing issues.

Scan Your AutoGen AppView on GitHub
Live Inkog Deep scan

Microsoft AutoGen: 1 critical, 4 high.

_code_executor_agent.py:185 runs LLM-generated code without mandatory human approval — an EU AI Act Article 14 obligation. Supply-chain trust, missing inter-agent authorization, and goal-conflict risks across the agentchat package.

microsoft/autogen · 281 files · 5/10 LOW FP-riskRead the full scan

Common AutoGen Logic Flaws

Patterns that static analysis tools like linters don't catch.

GroupChat Loops

Multi-agent group chats where agents keep responding to each other indefinitely

Code Execution

UserProxyAgent with code_execution_config can execute arbitrary code from LLM

Missing Termination

Conversations without max_consecutive_auto_reply bounds

Detection Patterns

AutoGen-specific detection patterns with code examples.

GroupChat Without Termination

CRITICAL

GroupChat with max_round set too high or not set.

Vulnerable
python
from autogen import GroupChat, GroupChatManager

group_chat = GroupChat(
    agents=[assistant, coder, reviewer],
    messages=[],
    max_round=1000  # Effectively no limit
)
manager = GroupChatManager(groupchat=group_chat)
Secure
python
group_chat = GroupChat(
    agents=[assistant, coder, reviewer],
    messages=[],
    max_round=10  # Reasonable limit
)
manager = GroupChatManager(groupchat=group_chat)

Unsafe Code Execution

CRITICAL

UserProxyAgent executes LLM-generated code without sandboxing.

Vulnerable
python
user_proxy = UserProxyAgent(
    name="user_proxy",
    code_execution_config={
        "work_dir": "coding",
        "use_docker": False  # No sandbox!
    }
)
Secure
python
user_proxy = UserProxyAgent(
    name="user_proxy",
    code_execution_config={
        "work_dir": "coding",
        "use_docker": True  # Sandboxed
    },
    max_consecutive_auto_reply=5
)

Getting Started

Run Inkog against your AutoGen codebase.

1

Run the scanner

bash
npx -y @inkog-io/cli scan ./my-autogen-app
2

Review findings

Inkog traces data flow through your AutoGen code and reports issues with severity levels and line numbers.

3

Address issues

Apply the suggested fixes based on severity and re-scan to verify.

AutoGen Compliance Reports

Automated mapping to global AI governance frameworks.

EU AI Act

Article 14, 15, 12

NIST AI RMF

MAP/MEASURE/MANAGE

OWASP LLM

Top 10 Coverage

ISO 42001

AI Management

AutoGen Readiness FAQ

Does Inkog support AutoGen / AG2?

Yes. Inkog detects GroupChat loop patterns, code execution risks, and missing termination conditions in AutoGen (also known as AG2) applications.

How do I secure AutoGen GroupChats?

Set reasonable max_round limits, use Docker for code execution, and set max_consecutive_auto_reply on all agents. Inkog identifies which settings are missing.

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