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MervinPraison
0c37498118
Added multiple examples demonstrating the creation and management of agents, environments, sessions, and custom tools in the managed agents architecture. This comprehensive set of examples now includes functionalities such as tool selection, disabling tools, and updating agent configurations, providing users with clear guidance on utilizing the framework effectively.
29 lines
906 B
Python
29 lines
906 B
Python
from praisonai import Agent, ManagedAgent, ManagedConfig
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managed = ManagedAgent(
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config=ManagedConfig(
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name="Usage Tracker Agent",
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model="claude-haiku-4-5",
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system="You are a helpful assistant.",
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),
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)
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agent = Agent(name="tracker", backend=managed)
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result = agent.start("Write a one-line Python script that prints the current date and run it")
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print(result)
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print("\nAgent finished.")
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# Usage tracked automatically
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print("\n--- Usage Report ---")
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print(f"Input tokens: {managed.total_input_tokens}")
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print(f"Output tokens: {managed.total_output_tokens}")
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# Or retrieve detailed session info from the API
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info = managed.retrieve_session()
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print(f"\nSession ID: {info.get('id')}")
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print(f"Status: {info.get('status')}")
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if "usage" in info:
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print(f"API Input tokens: {info['usage']['input_tokens']}")
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print(f"API Output tokens: {info['usage']['output_tokens']}")
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