kagent-openai 0.9.0b1

OpenAI integration for KAgent with A2A server support

KAgent OpenAI Agents SDK Integration

OpenAI Agents SDK integration for KAgent with A2A (Agent-to-Agent) protocol support, session management, and optional skills integration.

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Quick Start

from kagent.openai import KAgentApp
from agents.agent import Agent

# Create your OpenAI agent
agent = Agent(
    name="Assistant",
    instructions="You are a helpful assistant.",
    tools=[my_tool],  # Optional
)

# Create KAgent app
app = KAgentApp(
    agent=agent,
    agent_card={
        "name": "my-openai-agent",
        "description": "My OpenAI agent",
        "version": "0.1.0",
        "capabilities": {"streaming": True},
        "defaultInputModes": ["text"],
        "defaultOutputModes": ["text"]
    },
    kagent_url="http://localhost:8080",
    app_name="my-agent"
)

# Run
fastapi_app = app.build()
# uvicorn run_me:fastapi_app

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Agent with Skills

Skills provide domain expertise through filesystem-based instruction files and helper tools (read/write/edit files, bash execution). We provide a function to load all skill-related tools. Otherwise, you can select the ones you need by importing from kagent.openai.tools.

from agents.agent import Agent
from kagent.openai import get_skill_tools

tools = [my_custom_tool]
tools.extend(get_skill_tools("./skills"))

agent = Agent(
    name="SkillfulAgent",
    instructions="Use skills and tools when appropriate.",
    tools=tools,
)

See skills README for skill format and structure.

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Session Management

Sessions persist conversation history in KAgent backend:

from agents.agent import Agent
from agents.run import Runner
from kagent.openai.agent._session_service import KAgentSession
import httpx

client = httpx.AsyncClient(base_url="http://localhost:8080")
session = KAgentSession(
    session_id="conversation_123",
    client=client,
    app_name="my-agent",
)

agent = Agent(name="Assistant", instructions="Be helpful")
result = await Runner.run(agent, "Hello!", session=session)

---

Local Development

Test without KAgent backend using in-memory mode:

app = KAgentApp(
    agent=agent,
    agent_card=agent_card,
    kagent_url="http://localhost:8080",
    app_name="test-agent"
)

fastapi_app = app.build_local()  # In-memory, no persistence

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Deployment

Standard Docker deployment:

FROM python:3.13-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY agent.py .
CMD ["uvicorn", "agent:fastapi_app", "--host", "0.0.0.0", "--port", "8000"]

Set KAGENT_URL environment variable to connect to KAgent backend.

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Architecture

Component	Purpose
KAgentApp	FastAPI application builder with A2A support
KAgentSession	Session persistence via KAgent REST API
OpenAIAgentExecutor	Executes agents with event streaming

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Environment Variables

• KAGENT_URL - KAgent backend URL (default: http://localhost:8080)
• LOG_LEVEL - Logging level (default: INFO)

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Examples

See samples/openai/ for complete examples:

• basic_agent/ - Simple agent with custom tools
• More examples coming soon

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See Also

• OpenAI Agents SDK Docs
• KAgent Skills
• A2A Protocol

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License

See repository LICENSE file.