test_agent_tracing.py

from __future__ import annotations

import asyncio

import pytest
from inline_snapshot import snapshot

from agents import Agent, RunConfig, Runner, trace

from .fake_model import FakeModel
from .test_responses import get_text_message
from .testing_processor import fetch_normalized_spans, fetch_ordered_spans, fetch_traces


@pytest.mark.asyncio
async def test_single_run_is_single_trace():
    agent = Agent(
        name="test_agent",
        model=FakeModel(
            initial_output=[get_text_message("first_test")],
        ),
    )

    await Runner.run(agent, input="first_test")

    traces = fetch_traces()
    assert len(traces) == 1, f"Expected 1 trace, got {len(traces)}"

    assert fetch_normalized_spans() == snapshot(
        [
            {
                "workflow_name": "Agent workflow",
                "children": [
                    {
                        "type": "agent",
                        "data": {
                            "name": "test_agent",
                            "handoffs": [],
                            "tools": [],
                            "output_type": "str",
                        },
                    }
                ],
            }
        ]
    )

    spans = fetch_ordered_spans()
    assert len(spans) == 1, (
        f"Got {len(spans)}, but expected 1: the agent span. data:"
        f"{[span.span_data for span in spans]}"
    )


@pytest.mark.asyncio
async def test_multiple_runs_are_multiple_traces():
    model = FakeModel()
    model.add_multiple_turn_outputs(
        [
            [get_text_message("first_test")],
            [get_text_message("second_test")],
        ]
    )
    agent = Agent(
        name="test_agent_1",
        model=model,
    )

    await Runner.run(agent, input="first_test")
    await Runner.run(agent, input="second_test")

    traces = fetch_traces()
    assert len(traces) == 2, f"Expected 2 traces, got {len(traces)}"

    assert fetch_normalized_spans() == snapshot(
        [
            {
                "workflow_name": "Agent workflow",
                "children": [
                    {
                        "type": "agent",
                        "data": {
                            "name": "test_agent_1",
                            "handoffs": [],
                            "tools": [],
                            "output_type": "str",
                        },
                    }
                ],
            },
            {
                "workflow_name": "Agent workflow",
                "children": [
                    {
                        "type": "agent",
                        "data": {
                            "name": "test_agent_1",
                            "handoffs": [],
                            "tools": [],
                            "output_type": "str",
                        },
                    }
                ],
            },
        ]
    )

    spans = fetch_ordered_spans()
    assert len(spans) == 2, f"Got {len(spans)}, but expected 2: agent span per run"


@pytest.mark.asyncio
async def test_wrapped_trace_is_single_trace():
    model = FakeModel()
    model.add_multiple_turn_outputs(
        [
            [get_text_message("first_test")],
            [get_text_message("second_test")],
            [get_text_message("third_test")],
        ]
    )
    with trace(workflow_name="test_workflow"):
        agent = Agent(
            name="test_agent_1",
            model=model,
        )

        await Runner.run(agent, input="first_test")
        await Runner.run(agent, input="second_test")
        await Runner.run(agent, input="third_test")

    traces = fetch_traces()
    assert len(traces) == 1, f"Expected 1 trace, got {len(traces)}"

    assert fetch_normalized_spans() == snapshot(
        [
            {
                "workflow_name": "test_workflow",
                "children": [
                    {
                        "type": "agent",
                        "data": {
                            "name": "test_agent_1",
                            "handoffs": [],
                            "tools": [],
                            "output_type": "str",
                        },
                    },
                    {
                        "type": "agent",
                        "data": {
                            "name": "test_agent_1",
                            "handoffs": [],
                            "tools": [],
                            "output_type": "str",
                        },
                    },
                    {
                        "type": "agent",
                        "data": {
                            "name": "test_agent_1",
                            "handoffs": [],
                            "tools": [],
                            "output_type": "str",
                        },
                    },
                ],
            }
        ]
    )

    spans = fetch_ordered_spans()
    assert len(spans) == 3, f"Got {len(spans)}, but expected 3: the agent span per run"


@pytest.mark.asyncio
async def test_parent_disabled_trace_disabled_agent_trace():
    with trace(workflow_name="test_workflow", disabled=True):
        agent = Agent(
            name="test_agent",
            model=FakeModel(
                initial_output=[get_text_message("first_test")],
            ),
        )

        await Runner.run(agent, input="first_test")

    traces = fetch_traces()
    assert len(traces) == 0, f"Expected 0 traces, got {len(traces)}"
    assert fetch_normalized_spans() == snapshot([])

    spans = fetch_ordered_spans()
    assert len(spans) == 0, (
        f"Expected no spans, got {len(spans)}, with {[x.span_data for x in spans]}"
    )


@pytest.mark.asyncio
async def test_manual_disabling_works():
    agent = Agent(
        name="test_agent",
        model=FakeModel(
            initial_output=[get_text_message("first_test")],
        ),
    )

    await Runner.run(agent, input="first_test", run_config=RunConfig(tracing_disabled=True))

    traces = fetch_traces()
    assert len(traces) == 0, f"Expected 0 traces, got {len(traces)}"
    assert fetch_normalized_spans() == snapshot([])

    spans = fetch_ordered_spans()
    assert len(spans) == 0, f"Got {len(spans)}, but expected no spans"


@pytest.mark.asyncio
async def test_trace_config_works():
    agent = Agent(
        name="test_agent",
        model=FakeModel(
            initial_output=[get_text_message("first_test")],
        ),
    )

    await Runner.run(
        agent,
        input="first_test",
        run_config=RunConfig(workflow_name="Foo bar", group_id="123", trace_id="456"),
    )

    traces = fetch_traces()
    assert len(traces) == 1, f"Expected 1 trace, got {len(traces)}"
    export = traces[0].export()
    assert export is not None, "Trace export should not be None"
    assert export["workflow_name"] == "Foo bar"
    assert export["group_id"] == "123"
    assert export["id"] == "456"


@pytest.mark.asyncio
async def test_not_starting_streaming_creates_trace():
    agent = Agent(
        name="test_agent",
        model=FakeModel(
            initial_output=[get_text_message("first_test")],
        ),
    )

    result = Runner.run_streamed(agent, input="first_test")

    # Purposely don't await the stream
    while True:
        if result.is_complete:
            break
        await asyncio.sleep(0.1)

    traces = fetch_traces()
    assert len(traces) == 1, f"Expected 1 trace, got {len(traces)}"

    assert fetch_normalized_spans() == snapshot(
        [
            {
                "workflow_name": "Agent workflow",
                "children": [
                    {
                        "type": "agent",
                        "data": {
                            "name": "test_agent",
                            "handoffs": [],
                            "tools": [],
                            "output_type": "str",
                        },
                    }
                ],
            }
        ]
    )

    spans = fetch_ordered_spans()
    assert len(spans) == 1, f"Got {len(spans)}, but expected 1: the agent span"

    # Await the stream to avoid warnings about it not being awaited
    async for _ in result.stream_events():
        pass


@pytest.mark.asyncio
async def test_streaming_single_run_is_single_trace():
    agent = Agent(
        name="test_agent",
        model=FakeModel(
            initial_output=[get_text_message("first_test")],
        ),
    )

    x = Runner.run_streamed(agent, input="first_test")
    async for _ in x.stream_events():
        pass

    traces = fetch_traces()
    assert len(traces) == 1, f"Expected 1 trace, got {len(traces)}"


@pytest.mark.asyncio
async def test_multiple_streamed_runs_are_multiple_traces():
    model = FakeModel()
    model.add_multiple_turn_outputs(
        [
            [get_text_message("first_test")],
            [get_text_message("second_test")],
        ]
    )
    agent = Agent(
        name="test_agent_1",
        model=model,
    )

    x = Runner.run_streamed(agent, input="first_test")
    async for _ in x.stream_events():
        pass

    x = Runner.run_streamed(agent, input="second_test")
    async for _ in x.stream_events():
        pass

    traces = fetch_traces()
    assert len(traces) == 2, f"Expected 2 traces, got {len(traces)}"


@pytest.mark.asyncio
async def test_wrapped_streaming_trace_is_single_trace():
    model = FakeModel()
    model.add_multiple_turn_outputs(
        [
            [get_text_message("first_test")],
            [get_text_message("second_test")],
            [get_text_message("third_test")],
        ]
    )
    with trace(workflow_name="test_workflow"):
        agent = Agent(
            name="test_agent_1",
            model=model,
        )

        x = Runner.run_streamed(agent, input="first_test")
        async for _ in x.stream_events():
            pass

        x = Runner.run_streamed(agent, input="second_test")
        async for _ in x.stream_events():
            pass

        x = Runner.run_streamed(agent, input="third_test")
        async for _ in x.stream_events():
            pass

    traces = fetch_traces()
    assert len(traces) == 1, f"Expected 1 trace, got {len(traces)}"


@pytest.mark.asyncio
async def test_wrapped_mixed_trace_is_single_trace():
    model = FakeModel()
    model.add_multiple_turn_outputs(
        [
            [get_text_message("first_test")],
            [get_text_message("second_test")],
            [get_text_message("third_test")],
        ]
    )
    with trace(workflow_name="test_workflow"):
        agent = Agent(
            name="test_agent_1",
            model=model,
        )

        x = Runner.run_streamed(agent, input="first_test")
        async for _ in x.stream_events():
            pass

        await Runner.run(agent, input="second_test")

        x = Runner.run_streamed(agent, input="third_test")
        async for _ in x.stream_events():
            pass

    traces = fetch_traces()
    assert len(traces) == 1, f"Expected 1 trace, got {len(traces)}"


@pytest.mark.asyncio
async def test_parent_disabled_trace_disables_streaming_agent_trace():
    model = FakeModel()
    model.add_multiple_turn_outputs(
        [
            [get_text_message("first_test")],
            [get_text_message("second_test")],
        ]
    )
    with trace(workflow_name="test_workflow", disabled=True):
        agent = Agent(
            name="test_agent",
            model=model,
        )

        x = Runner.run_streamed(agent, input="first_test")
        async for _ in x.stream_events():
            pass

    traces = fetch_traces()
    assert len(traces) == 0, f"Expected 0 traces, got {len(traces)}"


@pytest.mark.asyncio
async def test_manual_streaming_disabling_works():
    model = FakeModel()
    model.add_multiple_turn_outputs(
        [
            [get_text_message("first_test")],
            [get_text_message("second_test")],
        ]
    )
    agent = Agent(
        name="test_agent",
        model=model,
    )

    x = Runner.run_streamed(agent, input="first_test", run_config=RunConfig(tracing_disabled=True))
    async for _ in x.stream_events():
        pass

    traces = fetch_traces()
    assert len(traces) == 0, f"Expected 0 traces, got {len(traces)}"