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    jawad-chaudhary

    openai-agents

    jawad-chaudhary/openai-agents
    AI & ML
    1 installs

    About

    SKILL.md

    Install

    Install via Skills CLI

    or add to your agent
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    ├─
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    About

    Build AI agents with OpenAI Agents SDK, tool registration, conversation history, and stateless execution. Use when creating AI agents, registering tools, or handling conversations.

    SKILL.md

    OpenAI Agents SDK Integration

    Agent Initialization

    from openai import OpenAI
    from openai.agents import Agent, Runner
    
    client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
    
    agent = Agent(
        name="TaskAssistant",
        instructions="""You are a helpful task management assistant.
    Use the provided tools to help users manage their todo list.
    Always confirm actions with friendly responses.
    If a user's request is ambiguous, ask for clarification.""",
        model="gpt-4o",
        tools=[]  # MCP tools registered here
    )
    

    Tool Registration (from MCP)

    tools = [
        {
            "type": "function",
            "function": {
                "name": "add_task",
                "description": "Create a new task",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "user_id": {"type": "string"},
                        "title": {"type": "string"},
                        "description": {"type": "string"}
                    },
                    "required": ["user_id", "title"]
                }
            }
        }
    ]
    agent.tools = tools
    

    Running Agent with History

    async def run_agent(messages: list[dict]) -> tuple[str, list[str]]:
        """Run agent with conversation history."""
        runner = Runner(agent=agent)
        result = await runner.run(messages=messages)
        
        # Extract response
        response = result.messages[-1].content[0].text.value
        
        # Extract tool calls
        tool_calls = [
            call.function.name 
            for msg in result.messages 
            if hasattr(msg, 'tool_calls') 
            for call in msg.tool_calls
        ]
        
        return response, tool_calls
    

    Message Format

    messages = [
        {"role": "user", "content": "Add a task"},
        {"role": "assistant", "content": "I've added the task"},
        {"role": "user", "content": "Show my tasks"}
    ]
    
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    Repository
    jawad-chaudhary/hackathone-2-todo-spec-driven-development
    Files