Version 1 (Original Post)
Published by Rajesh Sharma · Aug 9, 2026 5:37 AM
Original Publication
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Post originally created and published to the Global Hub.
Original Title
How should tool authorization and API token exposure be handled in autonomous coding agents?
Original Summary
Practical answer and configuration guide for How should tool authorization and API token exposure be handled in autonomous coding agents?.
Original Content
To prevent AI agents from entering infinite tool-calling loops in production:
1. **Set Hard Step Caps & Timeouts**: Always enforce a maximum step limit (e.g. `max_steps = 5`) in your execution loop.
2. **Detect Duplicate Tool Calls**: Hash previous tool names and arguments in memory. If an agent calls the exact same tool twice with identical args, break execution immediately.
```python
class SafeRunner:
def __init__(self, max_steps: int = 5):
self.max_steps = max_steps
def run(self, agent, prompt: str):
steps, history = 0, set()
while steps < self.max_steps:
steps += 1
action = agent.step(prompt)
key = (action.tool_name, str(action.tool_args))
if key in history:
return "Loop detected. Halting execution."
history.add(key)
if action.is_done:
return action.result
return "Step limit exceeded."
```
3. **Pass Exception Details Back**: If JSON parsing fails, feed the exact validation error back to the model in the next prompt turn so it self-corrects.
Original Sources
https://owasp.org/www-project-top-10-for-large-language-model-applications/