Antigravity cli with acp

[MathieuT1508]

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What are you proposing?

Describe the feature, improvement, or change at a high level.

Why does this matter?

What problem does this solve?

What becomes easier or possible?

Are there any examples or context?

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Possible approach

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[p-lorenzo]

This is up to google to supporty ACP with antigravity cli, I don't believe they will though.
Follow this issue: google-antigravity/antigravity-cli#31

[Tobi-Adesoye]

If you are implementing autonomous debugging loops via ACP—where an agent repeatedly mutates code, sets breakpoints, and evaluates failures—unbounded execution graphs and infinite recursion loops are a massive operational risk.

You can intercept these runtime anomalies at the protocol boundary using renorm-native. By wrapping your ACP execution loops in a RenormLoopGuard, you can enforce step budgets and sanitize runtime memory allocations dynamically.

pip install renorm-native```

Hook the loop guard middleware directly into your ACP agent's step execution evaluator:

```python
import torch
from renorm.loopguard import RenormLoopGuard

# 1. Initialize the LoopGuard with a strict execution step threshold
# Prevents an autonomous debugging agent from spinning out into infinite loops
agent_guard = RenormLoopGuard(max_steps=5)

# 2. Wrap your ACP step execution framework
for agent_turn in range(4):
    # Pass the current stream telemetry payload through the parser
    status, metadata = agent_guard.parse_stream("Action: Call SRAM_REGISTERS")
    
    if status == "CRITICAL_BUDGET_ALERT":
        print("ACP Agent hit execution limit boundary. Intercepting potential runaway loop.")
        break ```
For full system middleware specifications, check out the core repository: [GitHub: Tobi-Adesoye/renorm-native](https://github.com/Tobi-Adesoye/renorm-native)