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Documentation Index

Fetch the complete documentation index at: https://docs.upsonic.ai/llms.txt

Use this file to discover all available pages before exploring further.

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Overview

The Policy Feedback Loop enables LLM-generated feedback when policy violations occur, allowing agents to self-correct their outputs through retry loops.

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User Policy Feedback

Give users constructive guidance instead of hard blocking: 
from upsonic import Agent, Task
from upsonic.safety_engine.policies.crypto_policies import CryptoBlockPolicy

agent = Agent(
    "anthropic/claude-sonnet-4-6",
    user_policy=CryptoBlockPolicy,
    user_policy_feedback=True,
    debug=True
)

task = Task(
    description="How can I buy Bitcoin and invest in cryptocurrency?"
)

result = agent.print_do(task)
print(result)

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Agent Policy Feedback

Enable agents to self-correct when their output violates policies. The agent retries until its output is compliant: 
from upsonic import Agent, Task
from upsonic.safety_engine.policies.crypto_policies import CryptoBlockPolicy

agent = Agent(
    "anthropic/claude-sonnet-4-6",
    agent_policy=CryptoBlockPolicy,
    agent_policy_feedback=True,
    agent_policy_feedback_loop=3,
    debug=True
)

task = Task(
    description="Write a comprehensive guide about all investment types: stocks, bonds, real estate, cryptocurrency, and commodities"
)

result = agent.print_do(task)
print(result)

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How it Works

  1. Agent generates a response (e.g., a guide including cryptocurrency section)
  2. Agent policy detects a violation in the output
  3. Feedback is sent back to the agent explaining the violation
  4. Agent retries, generating a compliant response (e.g., guide without cryptocurrency)
  5. Agent policy passes — compliant output is returned
The agent_policy_feedback_loop parameter controls how many retry attempts are allowed before the agent gives up.

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Async Support

Policy feedback loops work with async execution: 
import asyncio
from upsonic import Agent, Task
from upsonic.safety_engine.policies.crypto_policies import CryptoBlockPolicy

async def main():
    agent = Agent(
        "anthropic/claude-sonnet-4-6",
        agent_policy=CryptoBlockPolicy,
        agent_policy_feedback=True,
        agent_policy_feedback_loop=3,
        debug=True,
    )

    task = Task(
        description="Write a guide about investment types including crypto"
    )

    result = await agent.print_do_async(task)
    print(result)

asyncio.run(main())