Task Response Caching

from upsonic import Agent, Task

agent = Agent(model="anthropic/claude-sonnet-4-5")
task = Task(
    description="Summarize this article about AI advancements",
    enable_cache=True
)

agent.print_do(task)

from upsonic import Agent, Task

agent = Agent(model="anthropic/claude-sonnet-4-5")
task = Task(
    description="Analyze this text about climate change",
    enable_cache=True,
    cache_method="vector_search",
    cache_threshold=0.8  # Higher = stricter matching
)

agent.print_do(task)

from upsonic import Agent, Task

agent = Agent(model="anthropic/claude-sonnet-4-5")
task = Task(
    description="Analyze this text about renewable energy",
    enable_cache=True,
    cache_method="llm_call"
)

agent.print_do(task)

from upsonic import Agent, Task

agent = Agent(model="anthropic/claude-sonnet-4-5")
task = Task(
    description="Explain quantum computing",
    enable_cache=True,
    cache_method="vector_search",
    cache_threshold=0.75,
    cache_duration_minutes=120
)

agent.print_do(task)

# Check if response came from cache
cache_stats = task.get_cache_stats()
if cache_stats.get('cache_hit'):
    print("Response retrieved from cache!")
else:
    print("Fresh response generated")

stats = task.get_cache_stats()
print(f"Hit rate: {stats['hit_rate']}")
print(f"Total entries: {stats['total_entries']}")

task.clear_cache()