veridian-guard 0.2.2

Lightweight guard layer for AI agents — retry, catch, log.

Veridian Guard 🛡️

Robust retry and fallback decorators for unpredictable AI agents, LLM calls, and flaky network requests.

When your AI agents crashes, the API rate limits you, or a network request fails, Veridian Guard gracefully catches the errors, retries the execution with custom delays, and provides safe fallbacks to prevent production crashes.

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🚀 Installation

pip install veridian-guard

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⚡ Quick Start (Sync)

Wrap any flaky function like an LLM API call with the @guard decorator:

from veridian_guard import guard
import random

@guard(max_retries=3, delay=1.5, fallback="Default safe response")
def call_llm_agent():
    # Simulating a random API failure
    if random.random() < 0.7:
        raise ConnectionError("LLM API Timeout!")
    return "Agent succeeded! Here is your generated text."

result = call_llm_agent()
print(result)

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🔄 Async/Await Support Built-in

Veridian Guard automatically detects whether your function is synchronous or asynchronous. It works flawlessly with async/await, making it perfect for modern AI agent chains or Crew AI.

import asyncio
from veridian_guard import guard

@guard(max_retries=3, delay=2.0, fallback="Failed", async_def_fetch_data_from_llm=True)
async def fetch_data_from_llm():
    # Simulating a heavy async API call
    await asyncio.sleep(1)
    raise TimeoutError("API is too busy")

async def main():
    result = await fetch_data_from_llm()
    print(result)  # Will print the fallback: "Failed"

asyncio.run(main())

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✨ Why Veridian Guard?

✅ Zero Dependencies - Pure Python, Extremely lightweight.

✅ Smart Logging Built-in - Automatically logs failed attempts and warnings so you can monitor your agent's behavior in the terminal.

✅ Fail-Safe Fallbacks - Never let an unhandled exception crash your main application loop again.

✅ Universal - Seamlessly handles both def and async def functions out of the box.

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🔧 Advanced Usage

Catching specific exceptions instead of all errors:

from veridian_guard import guard

@guard(
    max_retries=5,
    delay=2.5,
    exceptions=(TimeoutError, ConnectionError)
)
def call_data():
    # Will only retry on TimeoutError or ConnectionError
    # Other exceptions like ValueError will be raised immediately
    pass

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📦 Parameters

Parameter	Type	Default	Description
max_retries	int	3	Maximum number of retry attempts
delay	float	1.0	Delay in seconds between retries
fallback	any	None	Value to return if all retries fail
exceptions	tuple	(Exception,)	Specific exceptions to catch and retry

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📝 Real-World Use Cases

1. LLM API Calls

@guard(max_retries=5, delay=2.0, fallback="Sorry, AI is unavailable")
def ask_chatgpt(prompt):
    return openai.ChatCompletion.create(...)

2. Database Connections

@guard(max_retries=3, delay=1.0, exceptions=(ConnectionError,))
def connect_to_db():
    return psycopg2.connect(...)

3. Web Scraping

@guard(max_retries=4, delay=3.0, fallback=[])
def scrape_website(url):
    response = requests.get(url, timeout=5)
    return response.json()

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🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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📄 License

MIT License - feel free to use in your projects!

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🌟 Star Us!

If Veridian Guard helped you build more resilient AI agents, give us a star on GitHub! ⭐

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Made with 💚 for the AI Agent community