Agent FrameWork 比較4 / Strands

from strands.models.litellm import LiteLLMModel

# LMStudio
lms_model = LiteLLMModel(client_args=dict(base_url="http://localhost:1234/v1/"), model_id="openai/phi-4")

from strands import Agent

agent = Agent(model=lla_model, system_prompt="質問に答えてください。")
result = agent('こんにちは')
print(result) # => 'こんにちは！今日はどんなお手伝いができますか？\n'

from strands.models.openai import OpenAIModel
from strands.models.litellm import LiteLLMModel
from strands.models.anthropic import AnthropicModel

import os

# OpenAI
openai_model = OpenAIModel(model_id="gpt-4o")

# Anthropic
anthropic_model = AnthropicModel(model_id="claude-3-5-haiku-latest", max_tokens=2000)

# Gemini
gemini_model = LiteLLMModel(model_id="gemini/gemini-2.0-flash", client_args=dict(api_key=os.getenv("GOOGLE_API_KEY")))

# LMStudio
lms_model = LiteLLMModel(client_args=dict(base_url="http://localhost:1234/v1/"), model_id="openai/phi-4")

# Foundry Local
fdl_model = LiteLLMModel(client_args=dict(base_url="http://localhost:5273/v1/"), model_id="openai/Phi-4-generic-gpu")

# LlamaCPP
lla_model = LiteLLMModel(client_args=dict(base_url="http://localhost:8080/v1/"), model_id="openai/phi-4")

from dotenv import load_dotenv
load_dotenv()

import os
import base64

# Auth headerの作成
LANGFUSE_AUTH = base64.b64encode(
    f"{os.getenv('LANGFUSE_PUBLIC_KEY')}:{os.getenv('LANGFUSE_SECRET_KEY')}".encode()
).decode()
 
# 環境変数の用意(printされたものを.envなどに格納すること)
print(f'OTEL_EXPORTER_OTLP_ENDPOINT={os.getenv("LANGFUSE_HOST")}/api/public/otel'
print(f'OTEL_EXPORTER_OTLP_HEADERS=Authorization=Basic {LANGFUSE_AUTH}')