AWS Strands Agents integration

# Install Strands Agents SDK
pip install strands-agents

# Optional: Install additional tools
pip install strands-agents-tools

from strands import Agent
from strands.models.openai import OpenAIModel
import os

# Configure model with Orq.ai AI Gateway
model = OpenAIModel(
    model_id="gpt-4o",
    client_args={
        "api_key": os.getenv('ORQ_API_KEY'),
        "base_url": "https://api.orq.ai/v3/router"
    }
)

# Create agent with Orq.ai-powered model
agent = Agent(
    model=model,
    system_prompt="You are a helpful AI assistant."
)

from strands import Agent
from strands.models.openai import OpenAIModel
import os

# Configure model with Orq.ai AI Gateway
model = OpenAIModel(
    model_id="gpt-4o",
    client_args={
        "api_key": os.getenv('ORQ_API_KEY'),
        "base_url": "https://api.orq.ai/v3/router"
    }
)

# Create a simple agent
agent = Agent(
    model=model,
    system_prompt="You are a research assistant that helps users find and summarize information."
)

# Run the agent
result = agent("Explain quantum computing in simple terms")
print(result)

from strands import Agent, tool
from strands.models.openai import OpenAIModel
import os

# Configure model
model = OpenAIModel(
    model_id="gpt-4o",
    client_args={
        "api_key": os.getenv('ORQ_API_KEY'),
        "base_url": "https://api.orq.ai/v3/router"
    }
)

# Define a custom tool using the @tool decorator
@tool
def search_database(query: str) -> str:
    """Search the knowledge database for relevant information."""
    # Your database search logic here
    return f"Search results for: {query}"

# Create agent with tools
agent = Agent(
    model=model,
    tools=[search_database],
    system_prompt="You are a knowledge assistant. Use the search_database tool to find information when needed."
)

# Run agent with tool access
result = agent("Find information about machine learning best practices")
print(result)

from strands import Agent
from strands.models.openai import OpenAIModel
import os

# Configure model - Orq.ai handles fallbacks automatically
model = OpenAIModel(
    model_id="gpt-4o",
    client_args={
        "api_key": os.getenv('ORQ_API_KEY'),
        "base_url": "https://api.orq.ai/v3/router"
    }
)

agent = Agent(
    model=model,
    system_prompt="You are a helpful assistant."
)