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debug_custom_tool.py
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debug_custom_tool.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import json
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from typing import Dict, List
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from uuid import uuid4
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from llama_stack_client import LlamaStackClient
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from llama_stack_client.lib.agents.agent import Agent
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from llama_stack_client.lib.agents.client_tool import ClientTool
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from llama_stack_client.types import ToolResponseMessage
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from llama_stack_client.types.shared.completion_message import CompletionMessage
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from llama_stack_client.types.shared_params.agent_config import AgentConfig, ToolConfig
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from llama_stack_client.types.tool_def_param import Parameter
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from rich.pretty import pprint
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class TestClientTool(ClientTool):
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"""Tool to give boiling point of a liquid
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Returns the correct value for polyjuice in Celcius and Fahrenheit
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and returns -1 for other liquids
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"""
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def run(self, messages: List[CompletionMessage]) -> List[ToolResponseMessage]:
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assert len(messages) == 1, "Expected single message"
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message = messages[0]
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tool_call = message.tool_calls[0]
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try:
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response = self.run_impl(**tool_call.arguments)
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response_str = json.dumps(response, ensure_ascii=False)
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except Exception as e:
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response_str = f"Error when running tool: {e}"
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message = ToolResponseMessage(
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role="tool",
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call_id=tool_call.call_id,
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tool_name=tool_call.tool_name,
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content=response_str,
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)
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return message
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def get_name(self) -> str:
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return "get_boiling_point"
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def get_description(self) -> str:
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return "Get the boiling point of imaginary liquids (eg. polyjuice)"
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def get_params_definition(self) -> Dict[str, Parameter]:
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return {
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"liquid_name": Parameter(
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name="liquid_name",
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parameter_type="string",
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description="The name of the liquid",
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required=True,
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),
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"celcius": Parameter(
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name="celcius",
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parameter_type="boolean",
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description="Whether to return the boiling point in Celcius",
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required=False,
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),
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}
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def run_impl(self, liquid_name: str, celcius: bool = True) -> int:
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if liquid_name.lower() == "polyjuice":
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if celcius:
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return -100
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else:
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return -212
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else:
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return -1
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if __name__ == "__main__":
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tool = TestClientTool()
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agent_config = AgentConfig(
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model="meta-llama/Llama-3.1-8B-Instruct",
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instructions="You are a helpful assistant",
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sampling_params={
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"strategy": {
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"type": "top_p",
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"temperature": 1.0,
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"top_p": 0.9,
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},
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},
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toolgroups=[],
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input_shields=[],
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output_shields=[],
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tool_config=ToolConfig(
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tool_choice="auto",
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tool_prompt_format="json",
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),
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client_tools=[tool.get_tool_definition()],
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enable_session_persistence=False,
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)
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client = LlamaStackClient(base_url="http://localhost:8321")
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agent = Agent(client, agent_config, client_tools=(tool,))
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session_id = agent.create_session(f"test-session-{uuid4()}")
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simple_hello = agent.create_turn(
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messages=[
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{
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"role": "user",
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"content": "What is the boiling point of polyjuice in Celcius?",
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}
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],
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session_id=session_id,
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)
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for chunk in simple_hello:
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pprint(chunk)
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