Reflection

from upsonic import Agent, Task

# Create an agent with reflection enabled
agent = Agent(
    model="anthropic/claude-sonnet-4-5",
    reflection=True
)

task = Task("Write a python function to Fibonacci sequence with detailed docstrings.")

# The agent will:
# 1. Generate an initial response
# 2. Critique the response (finding bugs or missing docs)
# 3. Regenerate an improved response
result = agent.print_do(task)
print(result)

from upsonic import Agent, Task
from upsonic.reflection import ReflectionConfig

# Custom reflection configuration
config = ReflectionConfig(
    max_iterations=2,           # Maximum improvement attempts
    acceptance_threshold=0.9    # Minimum score to accept response
)

agent = Agent(
    model="anthropic/claude-sonnet-4-5",
    reflection=True,
    reflection_config=config,
    debug=True  # useful to see the reflection steps
)

task = Task("Optimize this database query...")
result = agent.do(task)
print(result)