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Make sure Agents work with direct client
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parent
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1 changed files with 49 additions and 8 deletions
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@ -5,10 +5,14 @@
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# the root directory of this source tree.
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import argparse
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import os
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from llama_stack.distribution.library_client import LlamaStackAsLibraryClient
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from llama_stack_client.lib.agents.agent import Agent
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from llama_stack_client.lib.agents.event_logger import EventLogger as AgentEventLogger
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from llama_stack_client.lib.inference.event_logger import EventLogger
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from llama_stack_client.types import UserMessage
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from llama_stack_client.types.agent_create_params import AgentConfig
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def main(config_path: str):
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@ -43,16 +47,53 @@ def main(config_path: str):
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for log in EventLogger().log(response):
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log.print()
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response = client.memory_banks.register(
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memory_bank_id="memory_bank_id",
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params={
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"chunk_size_in_tokens": 0,
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"embedding_model": "embedding_model",
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"memory_bank_type": "vector",
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print("\nAgent test:")
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agent_config = AgentConfig(
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model=model_id,
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instructions="You are a helpful assistant",
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sampling_params={
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"strategy": "greedy",
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"temperature": 1.0,
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"top_p": 0.9,
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},
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tools=(
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[
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{
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"type": "brave_search",
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"engine": "brave",
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"api_key": os.getenv("BRAVE_SEARCH_API_KEY"),
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}
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]
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if os.getenv("BRAVE_SEARCH_API_KEY")
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else []
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),
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tool_choice="auto",
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tool_prompt_format="json",
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input_shields=[],
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output_shields=[],
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enable_session_persistence=False,
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)
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print("\nRegister memory bank response:")
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print(response)
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agent = Agent(client, agent_config)
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user_prompts = [
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"Hello",
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"Which players played in the winning team of the NBA western conference semifinals of 2024, please use tools",
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]
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session_id = agent.create_session("test-session")
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for prompt in user_prompts:
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response = agent.create_turn(
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messages=[
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{
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"role": "user",
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"content": prompt,
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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 log in AgentEventLogger().log(response):
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log.print()
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if __name__ == "__main__":
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