feat(openai-agents): migrate onto the unified harness surface

examples/tutorials/00_sync/060_harness_openai/.dockerignore

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+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# Environments
+.env**
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# IDE
+.idea/
+.vscode/
+*.swp
+*.swo
+
+# Git
+.git
+.gitignore
+
+# Misc
+.DS_Store

examples/tutorials/00_sync/060_harness_openai/Dockerfile

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+# syntax=docker/dockerfile:1.3
+FROM python:3.12-slim
+COPY --from=ghcr.io/astral-sh/uv:0.6.4 /uv /uvx /bin/
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    htop \
+    vim \
+    curl \
+    tar \
+    python3-dev \
+    postgresql-client \
+    build-essential \
+    libpq-dev \
+    gcc \
+    cmake \
+    netcat-openbsd \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN uv pip install --system --upgrade pip setuptools wheel
+
+ENV UV_HTTP_TIMEOUT=1000
+
+# Copy pyproject.toml and README.md to install dependencies
+COPY 00_sync/060_harness_openai/pyproject.toml /app/060_harness_openai/pyproject.toml
+COPY 00_sync/060_harness_openai/README.md /app/060_harness_openai/README.md
+
+WORKDIR /app/060_harness_openai
+
+# Copy the project code
+COPY 00_sync/060_harness_openai/project /app/060_harness_openai/project
+
+# Copy the test files
+COPY 00_sync/060_harness_openai/tests /app/060_harness_openai/tests
+
+# Copy shared test utilities
+COPY test_utils /app/test_utils
+
+# Install the required Python packages with dev dependencies
+RUN uv pip install --system .[dev]
+
+# Set environment variables
+ENV PYTHONPATH=/app
+
+# Set test environment variables
+ENV AGENT_NAME=s060-harness-openai
+
+# Run the agent using uvicorn
+CMD ["uvicorn", "project.acp:acp", "--host", "0.0.0.0", "--port", "8000"]

examples/tutorials/00_sync/060_harness_openai/README.md

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+# Sync OpenAI Agents on the unified harness surface
+
+A sync (HTTP) Agentex agent that runs the OpenAI Agents SDK and delivers its
+output through the **unified harness surface**.
+
+## What this demonstrates
+
+The OpenAI Agents SDK produces native streaming events. This tutorial wraps a
+`Runner.run_streamed` result in an `OpenAITurn` — the provider -> canonical
+`StreamTaskMessage*` adapter — and forwards the canonical stream to the frontend
+via `UnifiedEmitter.yield_turn`. The same `OpenAITurn` flows unchanged through
+`auto_send_turn` in the async (`130_harness_openai`) and temporal
+(`140_harness_openai`) variants; only the delivery method differs.
+
+```python
+result = Runner.run_streamed(starting_agent=agent, input=user_message)
+turn = OpenAITurn(result=result, model="gpt-4o")
+emitter = UnifiedEmitter(task_id=task_id, trace_id=task_id, parent_span_id=parent_span_id)
+async for event in emitter.yield_turn(turn):
+    yield event
+```
+
+## Run it
+
+```bash
+agentex agents run --manifest manifest.yaml
+```
+
+## Test it
+
+The offline test exercises the harness wiring without a server or API key:
+
+```bash
+pytest tests/test_agent.py -v
+```

examples/tutorials/00_sync/060_harness_openai/manifest.yaml

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+build:
+  context:
+    root: ../../
+    include_paths:
+      - 00_sync/060_harness_openai
+      - test_utils
+    dockerfile: 00_sync/060_harness_openai/Dockerfile
+    dockerignore: 00_sync/060_harness_openai/.dockerignore
+
+local_development:
+  agent:
+    port: 8000
+    host_address: host.docker.internal
+  paths:
+    acp: project/acp.py
+
+agent:
+  acp_type: sync
+  name: s060-harness-openai
+  description: A sync OpenAI Agents SDK agent on the unified harness surface
+
+  temporal:
+    enabled: false
+
+  credentials:
+    - env_var_name: OPENAI_API_KEY
+      secret_name: openai-api-key
+      secret_key: api-key
+    - env_var_name: REDIS_URL
+      secret_name: redis-url-secret
+      secret_key: url
+    - env_var_name: SGP_API_KEY
+      secret_name: sgp-api-key
+      secret_key: api-key
+    - env_var_name: SGP_ACCOUNT_ID
+      secret_name: sgp-account-id
+      secret_key: account-id
+    - env_var_name: SGP_CLIENT_BASE_URL
+      secret_name: sgp-client-base-url
+      secret_key: url
+
+deployment:
+  image:
+    repository: ""
+    tag: "latest"
+
+  global:
+    agent:
+      name: "s060-harness-openai"
+      description: "A sync OpenAI Agents SDK agent on the unified harness surface"
+    replicaCount: 1
+    resources:
+      requests:
+        cpu: "500m"
+        memory: "1Gi"
+      limits:
+        cpu: "1000m"
+        memory: "2Gi"

examples/tutorials/00_sync/060_harness_openai/project/acp.py

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+"""ACP handler for the sync OpenAI Agents harness tutorial.
+
+This is the API layer. It runs the OpenAI Agents SDK via ``Runner.run_streamed``,
+wraps the streamed run in an ``OpenAITurn`` (the provider -> canonical
+``StreamTaskMessage*`` adapter), and forwards the canonical stream to the
+Agentex frontend via ``UnifiedEmitter.yield_turn`` — the same harness surface
+used by the async and temporal variants of this tutorial.
+"""
+
+from __future__ import annotations
+
+import os
+from typing import AsyncGenerator
+
+from dotenv import load_dotenv
+
+load_dotenv()
+
+from agents import Runner
+
+from agentex.lib import adk
+from project.agent import MODEL_NAME, create_agent
+from agentex.lib.types.acp import SendMessageParams
+from agentex.lib.types.tracing import SGPTracingProcessorConfig
+from agentex.lib.utils.logging import make_logger
+from agentex.lib.sdk.fastacp.fastacp import FastACP
+from agentex.lib.core.harness.emitter import UnifiedEmitter
+from agentex.types.task_message_update import TaskMessageUpdate
+from agentex.types.task_message_content import TaskMessageContent
+from agentex.lib.adk.providers._modules.openai_turn import OpenAITurn
+from agentex.lib.core.tracing.tracing_processor_manager import add_tracing_processor_config
+
+logger = make_logger(__name__)
+
+# LiteLLM proxy auth: copy LITELLM_API_KEY to OPENAI_API_KEY for OpenAI client
+# compatibility, so the same example works behind the Scale LiteLLM gateway.
+_litellm_key = os.environ.get("LITELLM_API_KEY")
+if _litellm_key and not os.environ.get("OPENAI_API_KEY"):
+    os.environ["OPENAI_API_KEY"] = _litellm_key
+
+add_tracing_processor_config(
+    SGPTracingProcessorConfig(
+        sgp_api_key=os.environ.get("SGP_API_KEY", ""),
+        sgp_account_id=os.environ.get("SGP_ACCOUNT_ID", ""),
+        sgp_base_url=os.environ.get("SGP_CLIENT_BASE_URL", ""),
+    )
+)
+
+acp = FastACP.create(acp_type="sync")
+
+_agent = None
+
+
+def get_agent():
+    """Get or create the OpenAI Agents SDK agent instance."""
+    global _agent
+    if _agent is None:
+        _agent = create_agent()
+    return _agent
+
+
+@acp.on_message_send
+async def handle_message_send(
+    params: SendMessageParams,
+) -> TaskMessageContent | list[TaskMessageContent] | AsyncGenerator[TaskMessageUpdate, None]:
+    """Handle incoming messages, streaming tokens and tool calls via the harness."""
+    agent = get_agent()
+    task_id = params.task.id
+    user_message = params.content.content
+    logger.info(f"Processing message for task {task_id}")
+
+    async with adk.tracing.span(
+        trace_id=task_id,
+        task_id=task_id,
+        name="message",
+        input={"message": user_message},
+        data={"__span_type__": "AGENT_WORKFLOW"},
+    ) as turn_span:
+        result = Runner.run_streamed(starting_agent=agent, input=user_message)
+        turn = OpenAITurn(result=result, model=MODEL_NAME)
+        emitter = UnifiedEmitter(
+            task_id=task_id,
+            trace_id=task_id,
+            parent_span_id=turn_span.id if turn_span else None,
+        )
+        async for event in emitter.yield_turn(turn):
+            yield event

examples/tutorials/00_sync/060_harness_openai/project/agent.py

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+"""OpenAI Agents SDK agent definition for the harness tutorial.
+
+The agent is the boundary between this module and the API layer (acp.py).
+The OpenAI Agents SDK runs its own tool-call loop internally; acp.py wraps a
+``Runner.run_streamed`` result with ``OpenAITurn`` so it flows through the
+unified harness surface.
+"""
+
+from __future__ import annotations
+
+from datetime import datetime
+
+from agents import Agent, function_tool, set_tracing_disabled
+
+from project.tools import get_weather
+
+# Disable the openai-agents SDK's native tracer so it doesn't ship traces to
+# api.openai.com (the key may be a gateway/proxy key). Agentex tracing still
+# runs via the harness + tracing manager configured in acp.py.
+set_tracing_disabled(True)
+
+MODEL_NAME = "gpt-4o"
+INSTRUCTIONS = """You are a helpful AI assistant with access to tools.
+
+Current date and time: {timestamp}
+
+Guidelines:
+- Be concise and helpful
+- Use the weather tool when the user asks about the weather
+- Always report the real tool output back to the user
+"""
+
+
+@function_tool
+def weather(city: str) -> str:
+    """Get the current weather for a city."""
+    return get_weather(city)
+
+
+def create_agent() -> Agent:
+    """Build and return the OpenAI Agents SDK agent with the weather tool."""
+    return Agent(
+        name="Harness OpenAI Assistant",
+        model=MODEL_NAME,
+        instructions=INSTRUCTIONS.format(timestamp=datetime.now().strftime("%Y-%m-%d %H:%M:%S")),
+        tools=[weather],
+    )

examples/tutorials/00_sync/060_harness_openai/project/tools.py

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+"""Tool definitions for the OpenAI Agents harness tutorial.
+
+The bare function lives here so it's easy to unit-test; it's wrapped as an
+OpenAI Agents SDK ``function_tool`` in ``project.agent``.
+"""
+
+from __future__ import annotations
+
+
+def get_weather(city: str) -> str:
+    """Get the current weather for a city.
+
+    Args:
+        city: The name of the city to get weather for.
+
+    Returns:
+        A string describing the weather conditions.
+    """
+    return f"The weather in {city} is sunny and 72°F"

examples/tutorials/00_sync/060_harness_openai/pyproject.toml

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+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "s060-harness-openai"
+version = "0.1.0"
+description = "A sync OpenAI Agents SDK agent on the unified harness surface"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "agentex-sdk",
+    "scale-gp",
+    "openai-agents",
+]
+
+[project.optional-dependencies]
+dev = [
+    "pytest",
+    "pytest-asyncio",
+    "httpx",
+    "black",
+    "isort",
+    "flake8",
+]
+
+[tool.hatch.build.targets.wheel]
+packages = ["project"]
+
+[tool.black]
+line-length = 88
+target-version = ['py312']
+
+[tool.isort]
+profile = "black"
+line_length = 88