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removing unused script file

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Hardik Shah 2025-01-14 17:54:22 -08:00
parent 89e3f81520
commit b2b82d4a90
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129
llama_stack/distribution/tests/library_client_test.py
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@ -1,129 +0,0 @@
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
import argparse
import os
from llama_stack.distribution.library_client import LlamaStackAsLibraryClient
from llama_stack_client.lib.agents.agent import Agent
from llama_stack_client.lib.agents.event_logger import EventLogger as AgentEventLogger
from llama_stack_client.lib.inference.event_logger import EventLogger
from llama_stack_client.types import Attachment, UserMessage
from llama_stack_client.types.agent_create_params import AgentConfig
def main(config_path: str):
client = LlamaStackAsLibraryClient(config_path)
if not client.initialize():
return
models = client.models.list()
print("\nModels:")
for model in models:
print(model)
if not models:
print("No models found, skipping chat completion test")
return
model_id = next(m.identifier for m in models if "8b" in m.identifier.lower())
print(f"Using model: {model_id}")
response = client.inference.chat_completion(
messages=[UserMessage(content="What is the capital of France?", role="user")],
model_id=model_id,
stream=False,
)
print("\nChat completion response (non-stream):")
print(response)
response = client.inference.chat_completion(
messages=[UserMessage(content="What is the capital of France?", role="user")],
model_id=model_id,
stream=True,
)
print("\nChat completion response (stream):")
for log in EventLogger().log(response):
log.print()
print("\nAgent test:")
agent_config = AgentConfig(
model=model_id,
instructions="You are a helpful assistant",
sampling_params={
"strategy": "greedy",
"temperature": 1.0,
"top_p": 0.9,
},
tools=(
[
{
"type": "brave_search",
"engine": "brave",
"api_key": os.getenv("BRAVE_SEARCH_API_KEY"),
}
]
if os.getenv("BRAVE_SEARCH_API_KEY")
else []
)
+ (
[
{
"type": "code_interpreter",
}
]
),
tool_choice="required",
input_shields=[],
output_shields=[],
enable_session_persistence=False,
)
agent = Agent(client, agent_config)
user_prompts = [
"Hello",
"Which players played in the winning team of the NBA western conference semifinals of 2024, please use tools",
]
user_prompts = [
(
"Here is a csv, can you describe it ?",
[
Attachment(
content="https://raw.githubusercontent.com/meta-llama/llama-stack-apps/main/examples/resources/inflation.csv",
mime_type="test/csv",
)
],
),
("Which year ended with the highest inflation ?", None),
(
"What macro economic situations that led to such high inflation in that period?",
None,
),
("Plot average yearly inflation as a time series", None),
]
session_id = agent.create_session("test-session")
for prompt, attachments in user_prompts:
response = agent.create_turn(
messages=[
{
"role": "user",
"content": prompt,
}
],
attachments=attachments,
session_id=session_id,
)
for log in AgentEventLogger().log(response):
log.print()
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("config_path", help="Path to the config YAML file")
args = parser.parse_args()
main(args.config_path)