chore: import upstream snapshot with attribution

tests/test_repl.py

@@ -0,0 +1,100 @@
+import pytest
+
+from agents import Agent, run_demo_loop
+
+from .fake_model import FakeModel
+from .test_responses import (
+    get_function_tool,
+    get_function_tool_call,
+    get_handoff_tool_call,
+    get_text_input_item,
+    get_text_message,
+)
+
+
+@pytest.mark.asyncio
+async def test_run_demo_loop_conversation(monkeypatch, capsys):
+    model = FakeModel()
+    model.add_multiple_turn_outputs([[get_text_message("hello")], [get_text_message("good")]])
+
+    agent = Agent(name="test", model=model)
+
+    inputs = iter(["Hi", "How are you?", "quit"])
+    monkeypatch.setattr("builtins.input", lambda _=" > ": next(inputs))
+
+    await run_demo_loop(agent, stream=False)
+
+    output = capsys.readouterr().out
+    assert "hello" in output
+    assert "good" in output
+    assert model.last_turn_args["input"] == [
+        get_text_input_item("Hi"),
+        get_text_message("hello").model_dump(exclude_unset=True),
+        get_text_input_item("How are you?"),
+    ]
+
+
+@pytest.mark.asyncio
+async def test_run_demo_loop_streaming(monkeypatch, capsys):
+    model = FakeModel()
+    target_agent = Agent(name="target", model=model)
+    agent = Agent(
+        name="test",
+        model=model,
+        tools=[get_function_tool("foo", "tool_result")],
+        handoffs=[target_agent],
+    )
+
+    # A single user turn that exercises every streamed event branch:
+    # a tool call, the tool output, a handoff (agent update), then a text answer.
+    model.add_multiple_turn_outputs(
+        [
+            [get_function_tool_call("foo", "{}")],
+            [get_handoff_tool_call(target_agent)],
+            [get_text_message("all done")],
+        ]
+    )
+
+    inputs = iter(["Hello", "exit"])
+    monkeypatch.setattr("builtins.input", lambda _=" > ": next(inputs))
+
+    await run_demo_loop(agent, stream=True)
+
+    output = capsys.readouterr().out
+    assert "all done" in output
+    assert "[tool called]" in output
+    assert "[tool output: tool_result]" in output
+    assert "[Agent updated: target]" in output
+
+
+@pytest.mark.asyncio
+async def test_run_demo_loop_exits_on_eof(monkeypatch, capsys):
+    model = FakeModel()
+    agent = Agent(name="test", model=model)
+
+    def raise_eof(_=" > ") -> str:
+        raise EOFError
+
+    monkeypatch.setattr("builtins.input", raise_eof)
+
+    await run_demo_loop(agent, stream=False)
+
+    # The loop should terminate cleanly without ever invoking the model.
+    assert model.last_turn_args == {}
+
+
+@pytest.mark.asyncio
+async def test_run_demo_loop_skips_empty_input(monkeypatch, capsys):
+    model = FakeModel()
+    model.add_multiple_turn_outputs([[get_text_message("hello")]])
+    agent = Agent(name="test", model=model)
+
+    # Empty lines are ignored; only the non-empty input reaches the runner.
+    inputs = iter(["", "Hi", "quit"])
+    monkeypatch.setattr("builtins.input", lambda _=" > ": next(inputs))
+
+    await run_demo_loop(agent, stream=False)
+
+    output = capsys.readouterr().out
+    assert "hello" in output
+    assert model.last_turn_args["input"] == [get_text_input_item("Hi")]