Skip to main content
Loading navigation
Back to prompt library

Implement OpenAI Agents SDK Workflow

Linked challenge: Agentic System for Global AI Product Competitive Intelligence

Prompt source

implementation6 lines1 sectionsNo variables1 code block
Implement the core workflow for your competitive intelligence system using the OpenAI Agents SDK. Demonstrate how the 'Data Gatherer' agent uses tool calls (enabled by Claude 4 Sonnet) to fetch information. Show how the 'Market Analyst' receives this data, processes it, and potentially uses Portia AI for deeper insights. Integrate Ludwig to manage the handoff and dependencies between agents. Include relevant Python code snippets for agent initialization and task execution. ```python
from openai import OpenAI client = OpenAI() # Example tool definition for web scraping (you'll replace with actual tool)
def search_web(query: str): # Your web search/scrape logic here return f"Search results for {query}" # Create an Assistant (agent)
assistant = client.beta.assistants.create( name="Data Gatherer", instructions="You are an expert data gatherer for competitive intelligence. Use the provided tools to find relevant information.", model="Claude Sonnet 4", # Replace with your Claude 4 Sonnet integration model ID tools=[{"type": "function", "function": {"name": "search_web", "description": "Performs a web search.", "parameters": {"type": "object", "properties": {"query": {"type": "string", "description": "The search query."}}}}}],
) # Further implementation for threads, messages, and runs...
```