hermes-agent/tests/run_agent/test_streaming.py

"""Tests for streaming token delivery infrastructure.

Tests the unified streaming API call, delta callbacks, tool-call
suppression, provider fallback, and CLI streaming display.
"""
import json
import threading
import uuid
from types import SimpleNamespace
from unittest.mock import MagicMock, patch, PropertyMock

import pytest


# ── Helpers ──────────────────────────────────────────────────────────────


def _make_stream_chunk(
    content=None, tool_calls=None, finish_reason=None,
    model=None, reasoning_content=None, usage=None,
):
    """Build a mock streaming chunk matching OpenAI's ChatCompletionChunk shape."""
    delta = SimpleNamespace(
        content=content,
        tool_calls=tool_calls,
        reasoning_content=reasoning_content,
        reasoning=None,
    )
    choice = SimpleNamespace(
        index=0,
        delta=delta,
        finish_reason=finish_reason,
    )
    chunk = SimpleNamespace(
        choices=[choice],
        model=model,
        usage=usage,
    )
    return chunk


def _make_tool_call_delta(index=0, tc_id=None, name=None, arguments=None, extra_content=None, model_extra=None):
    """Build a mock tool call delta."""
    func = SimpleNamespace(name=name, arguments=arguments)
    delta = SimpleNamespace(index=index, id=tc_id, function=func)
    if extra_content is not None:
        delta.extra_content = extra_content
    if model_extra is not None:
        delta.model_extra = model_extra
    return delta


def _make_empty_chunk(model=None, usage=None):
    """Build a chunk with no choices (usage-only final chunk)."""
    return SimpleNamespace(choices=[], model=model, usage=usage)


# ── Test: Streaming Accumulator ──────────────────────────────────────────


class TestStreamingAccumulator:
    """Verify that _interruptible_streaming_api_call accumulates content
    and tool calls into a response matching the non-streaming shape."""

    @patch("run_agent.AIAgent._create_request_openai_client")
    @patch("run_agent.AIAgent._close_request_openai_client")
    def test_text_only_response(self, mock_close, mock_create):
        """Text-only stream produces correct response shape."""
        from run_agent import AIAgent

        chunks = [
            _make_stream_chunk(content="Hello"),
            _make_stream_chunk(content=" world"),
            _make_stream_chunk(content="!", finish_reason="stop", model="test-model"),
            _make_empty_chunk(usage=SimpleNamespace(prompt_tokens=10, completion_tokens=3)),
        ]

        mock_client = MagicMock()
        mock_client.chat.completions.create.return_value = iter(chunks)
        mock_create.return_value = mock_client

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
        )
        agent.api_mode = "chat_completions"
        agent._interrupt_requested = False

        response = agent._interruptible_streaming_api_call({})

        assert response.choices[0].message.content == "Hello world!"
        assert response.choices[0].message.tool_calls is None
        assert response.choices[0].finish_reason == "stop"
        assert response.usage is not None
        assert response.usage.completion_tokens == 3

    @patch("run_agent.AIAgent._create_request_openai_client")
    @patch("run_agent.AIAgent._close_request_openai_client")
    def test_tool_call_response(self, mock_close, mock_create):
        """Tool call stream accumulates ID, name, and arguments."""
        from run_agent import AIAgent

        chunks = [
            _make_stream_chunk(tool_calls=[
                _make_tool_call_delta(index=0, tc_id="call_123", name="terminal")
            ]),
            _make_stream_chunk(tool_calls=[
                _make_tool_call_delta(index=0, arguments='{"command":')
            ]),
            _make_stream_chunk(tool_calls=[
                _make_tool_call_delta(index=0, arguments=' "ls"}')
            ]),
            _make_stream_chunk(finish_reason="tool_calls"),
        ]

        mock_client = MagicMock()
        mock_client.chat.completions.create.return_value = iter(chunks)
        mock_create.return_value = mock_client

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
        )
        agent.api_mode = "chat_completions"
        agent._interrupt_requested = False

        response = agent._interruptible_streaming_api_call({})

        tc = response.choices[0].message.tool_calls
        assert tc is not None
        assert len(tc) == 1
        assert tc[0].id == "call_123"
        assert tc[0].function.name == "terminal"
        assert tc[0].function.arguments == '{"command": "ls"}'

    @patch("run_agent.AIAgent._create_request_openai_client")
    @patch("run_agent.AIAgent._close_request_openai_client")
    def test_tool_call_extra_content_preserved(self, mock_close, mock_create):
        """Streamed tool calls preserve provider-specific extra_content metadata."""
        from run_agent import AIAgent

        chunks = [
            _make_stream_chunk(tool_calls=[
                _make_tool_call_delta(
                    index=0,
                    tc_id="call_gemini",
                    name="cronjob",
                    model_extra={
                        "extra_content": {
                            "google": {"thought_signature": "sig-123"}
                        }
                    },
                )
            ]),
            _make_stream_chunk(tool_calls=[
                _make_tool_call_delta(index=0, arguments='{"task": "deep index on ."}')
            ]),
            _make_stream_chunk(finish_reason="tool_calls"),
        ]

        mock_client = MagicMock()
        mock_client.chat.completions.create.return_value = iter(chunks)
        mock_create.return_value = mock_client

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
        )
        agent.api_mode = "chat_completions"
        agent._interrupt_requested = False

        response = agent._interruptible_streaming_api_call({})

        tc = response.choices[0].message.tool_calls
        assert tc is not None
        assert tc[0].extra_content == {
            "google": {"thought_signature": "sig-123"}
        }

    @patch("run_agent.AIAgent._create_request_openai_client")
    @patch("run_agent.AIAgent._close_request_openai_client")
    def test_mixed_content_and_tool_calls(self, mock_close, mock_create):
        """Stream with both text and tool calls accumulates both."""
        from run_agent import AIAgent

        chunks = [
            _make_stream_chunk(content="Let me check"),
            _make_stream_chunk(tool_calls=[
                _make_tool_call_delta(index=0, tc_id="call_456", name="web_search")
            ]),
            _make_stream_chunk(tool_calls=[
                _make_tool_call_delta(index=0, arguments='{"query": "test"}')
            ]),
            _make_stream_chunk(finish_reason="tool_calls"),
        ]

        mock_client = MagicMock()
        mock_client.chat.completions.create.return_value = iter(chunks)
        mock_create.return_value = mock_client

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
        )
        agent.api_mode = "chat_completions"
        agent._interrupt_requested = False

        response = agent._interruptible_streaming_api_call({})

        assert response.choices[0].message.content == "Let me check"
        assert len(response.choices[0].message.tool_calls) == 1


# ── Test: Streaming Callbacks ────────────────────────────────────────────


class TestStreamingCallbacks:
    """Verify that delta callbacks fire correctly."""

    @patch("run_agent.AIAgent._create_request_openai_client")
    @patch("run_agent.AIAgent._close_request_openai_client")
    def test_deltas_fire_in_order(self, mock_close, mock_create):
        """Callbacks receive text deltas in order."""
        from run_agent import AIAgent

        chunks = [
            _make_stream_chunk(content="a"),
            _make_stream_chunk(content="b"),
            _make_stream_chunk(content="c"),
            _make_stream_chunk(finish_reason="stop"),
        ]

        deltas = []

        mock_client = MagicMock()
        mock_client.chat.completions.create.return_value = iter(chunks)
        mock_create.return_value = mock_client

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
            stream_delta_callback=lambda t: deltas.append(t),
        )
        agent.api_mode = "chat_completions"
        agent._interrupt_requested = False

        agent._interruptible_streaming_api_call({})

        assert deltas == ["a", "b", "c"]

    @patch("run_agent.AIAgent._create_request_openai_client")
    @patch("run_agent.AIAgent._close_request_openai_client")
    def test_on_first_delta_fires_once(self, mock_close, mock_create):
        """on_first_delta callback fires exactly once."""
        from run_agent import AIAgent

        chunks = [
            _make_stream_chunk(content="a"),
            _make_stream_chunk(content="b"),
            _make_stream_chunk(finish_reason="stop"),
        ]

        first_delta_calls = []

        mock_client = MagicMock()
        mock_client.chat.completions.create.return_value = iter(chunks)
        mock_create.return_value = mock_client

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
        )
        agent.api_mode = "chat_completions"
        agent._interrupt_requested = False

        agent._interruptible_streaming_api_call(
            {}, on_first_delta=lambda: first_delta_calls.append(True)
        )

        assert len(first_delta_calls) == 1

    @patch("run_agent.AIAgent._create_request_openai_client")
    @patch("run_agent.AIAgent._close_request_openai_client")
    def test_chat_stream_refreshes_activity_on_every_chunk(self, mock_close, mock_create):
        """Each streamed chat chunk should refresh the activity timestamp."""
        from run_agent import AIAgent

        chunks = [
            _make_stream_chunk(content="a"),
            _make_stream_chunk(content="b"),
            _make_stream_chunk(finish_reason="stop"),
        ]

        mock_client = MagicMock()
        mock_client.chat.completions.create.return_value = iter(chunks)
        mock_create.return_value = mock_client

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
        )
        agent.api_mode = "chat_completions"
        agent._interrupt_requested = False

        touch_calls = []
        agent._touch_activity = lambda desc: touch_calls.append(desc)

        agent._interruptible_streaming_api_call({})

        assert touch_calls.count("receiving stream response") == len(chunks)

    @patch("run_agent.AIAgent._create_request_openai_client")
    @patch("run_agent.AIAgent._close_request_openai_client")
    def test_tool_only_does_not_fire_callback(self, mock_close, mock_create):
        """Tool-call-only stream does not fire the delta callback."""
        from run_agent import AIAgent

        chunks = [
            _make_stream_chunk(tool_calls=[
                _make_tool_call_delta(index=0, tc_id="call_789", name="terminal")
            ]),
            _make_stream_chunk(tool_calls=[
                _make_tool_call_delta(index=0, arguments='{"command": "ls"}')
            ]),
            _make_stream_chunk(finish_reason="tool_calls"),
        ]

        deltas = []

        mock_client = MagicMock()
        mock_client.chat.completions.create.return_value = iter(chunks)
        mock_create.return_value = mock_client

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
            stream_delta_callback=lambda t: deltas.append(t),
        )
        agent.api_mode = "chat_completions"
        agent._interrupt_requested = False

        agent._interruptible_streaming_api_call({})

        assert deltas == []

    @patch("run_agent.AIAgent._create_request_openai_client")
    @patch("run_agent.AIAgent._close_request_openai_client")
    def test_text_suppressed_when_tool_calls_present(self, mock_close, mock_create):
        """Text deltas are suppressed when tool calls are also in the stream."""
        from run_agent import AIAgent

        chunks = [
            _make_stream_chunk(content="thinking..."),
            _make_stream_chunk(tool_calls=[
                _make_tool_call_delta(index=0, tc_id="call_abc", name="read_file")
            ]),
            _make_stream_chunk(content=" more text"),
            _make_stream_chunk(finish_reason="tool_calls"),
        ]

        deltas = []

        mock_client = MagicMock()
        mock_client.chat.completions.create.return_value = iter(chunks)
        mock_create.return_value = mock_client

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
            stream_delta_callback=lambda t: deltas.append(t),
        )
        agent.api_mode = "chat_completions"
        agent._interrupt_requested = False

        response = agent._interruptible_streaming_api_call({})

        # Text before tool call IS fired (we don't know yet it will have tools)
        assert "thinking..." in deltas
        # Text after tool call IS still routed to stream_delta_callback so that
        # reasoning tag extraction can fire (PR #3566).  Display-level suppression
        # of non-reasoning text happens in the CLI's _stream_delta, not here.
        assert " more text" in deltas
        # Content is still accumulated in the response
        assert response.choices[0].message.content == "thinking... more text"


# ── Test: Streaming Fallback ────────────────────────────────────────────


class TestStreamingFallback:
    """Verify streaming errors propagate to the main retry loop.

    Previously, streaming errors triggered an inline fallback to
    non-streaming.  Now they propagate so the main retry loop can apply
    richer recovery (credential rotation, provider fallback, backoff).
    The only special case: 'stream not supported' sets _disable_streaming
    so the *next* main-loop retry uses non-streaming automatically.
    """

    @patch("run_agent.AIAgent._create_request_openai_client")
    @patch("run_agent.AIAgent._close_request_openai_client")
    def test_stream_not_supported_sets_flag_and_raises(self, mock_close, mock_create):
        """'not supported' error sets _disable_streaming and propagates."""
        from run_agent import AIAgent

        mock_client = MagicMock()
        mock_client.chat.completions.create.side_effect = Exception(
            "Streaming is not supported for this model"
        )
        mock_create.return_value = mock_client

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
        )
        agent.api_mode = "chat_completions"
        agent._interrupt_requested = False

        with pytest.raises(Exception, match="Streaming is not supported"):
            agent._interruptible_streaming_api_call({})

        # The flag should be set so the main retry loop switches to non-streaming
        assert agent._disable_streaming is True

    @patch("run_agent.AIAgent._create_request_openai_client")
    @patch("run_agent.AIAgent._close_request_openai_client")
    def test_non_transport_error_propagates(self, mock_close, mock_create):
        """Non-transport streaming errors propagate to the main retry loop."""
        from run_agent import AIAgent

        mock_client = MagicMock()
        mock_client.chat.completions.create.side_effect = Exception(
            "Connection reset by peer"
        )
        mock_create.return_value = mock_client

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
        )
        agent.api_mode = "chat_completions"
        agent._interrupt_requested = False

        with pytest.raises(Exception, match="Connection reset by peer"):
            agent._interruptible_streaming_api_call({})

    @patch("run_agent.AIAgent._create_request_openai_client")
    @patch("run_agent.AIAgent._close_request_openai_client")
    def test_stream_error_propagates_original(self, mock_close, mock_create):
        """The original streaming error propagates (not a fallback error)."""
        from run_agent import AIAgent

        mock_client = MagicMock()
        mock_client.chat.completions.create.side_effect = Exception("stream broke")
        mock_create.return_value = mock_client

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
        )
        agent.api_mode = "chat_completions"
        agent._interrupt_requested = False

        with pytest.raises(Exception, match="stream broke"):
            agent._interruptible_streaming_api_call({})

    @patch("run_agent.AIAgent._create_request_openai_client")
    @patch("run_agent.AIAgent._close_request_openai_client")
    def test_exhausted_transient_stream_error_propagates(self, mock_close, mock_create):
        """Transient stream errors retry first, then propagate after retries exhausted."""
        from run_agent import AIAgent
        import httpx

        mock_client = MagicMock()
        mock_client.chat.completions.create.side_effect = httpx.ConnectError("socket closed")
        mock_create.return_value = mock_client

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
        )
        agent.api_mode = "chat_completions"
        agent._interrupt_requested = False

        with pytest.raises(httpx.ConnectError, match="socket closed"):
            agent._interruptible_streaming_api_call({})

        # Should have retried 3 times (default HERMES_STREAM_RETRIES=2 → 3 attempts)
        assert mock_client.chat.completions.create.call_count == 3
        assert mock_close.call_count >= 1

    @patch("run_agent.AIAgent._create_request_openai_client")
    @patch("run_agent.AIAgent._close_request_openai_client")
    def test_sse_connection_lost_retried_as_transient(self, mock_close, mock_create):
        """SSE 'Network connection lost' (APIError w/ no status_code) retries like httpx errors.

        OpenRouter sends {"error":{"message":"Network connection lost."}} as an SSE
        event when the upstream stream drops.  The OpenAI SDK raises APIError from
        this.  It should be retried at the streaming level, same as httpx connection
        errors, then propagate to the main retry loop after exhaustion.
        """
        from run_agent import AIAgent
        import httpx

        # Create an APIError that mimics what the OpenAI SDK raises from SSE error events.
        # Key: no status_code attribute (unlike APIStatusError which has one).
        from openai import APIError as OAIAPIError
        sse_error = OAIAPIError(
            message="Network connection lost.",
            request=httpx.Request("POST", "https://openrouter.ai/api/v1/chat/completions"),
            body={"message": "Network connection lost."},
        )

        mock_client = MagicMock()
        mock_client.chat.completions.create.side_effect = sse_error
        mock_create.return_value = mock_client

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
        )
        agent.api_mode = "chat_completions"
        agent._interrupt_requested = False

        with pytest.raises(OAIAPIError):
            agent._interruptible_streaming_api_call({})

        # Should retry 3 times (default HERMES_STREAM_RETRIES=2 → 3 attempts)
        assert mock_client.chat.completions.create.call_count == 3
        # Connection cleanup should happen for each failed retry
        assert mock_close.call_count >= 2

    @patch("run_agent.AIAgent._create_request_openai_client")
    @patch("run_agent.AIAgent._close_request_openai_client")
    def test_sse_non_connection_error_propagates_immediately(self, mock_close, mock_create):
        """SSE errors that aren't connection-related propagate immediately (no stream retry)."""
        from run_agent import AIAgent
        import httpx

        from openai import APIError as OAIAPIError
        sse_error = OAIAPIError(
            message="Invalid model configuration.",
            request=httpx.Request("POST", "https://openrouter.ai/api/v1/chat/completions"),
            body={"message": "Invalid model configuration."},
        )

        mock_client = MagicMock()
        mock_client.chat.completions.create.side_effect = sse_error
        mock_create.return_value = mock_client

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
        )
        agent.api_mode = "chat_completions"
        agent._interrupt_requested = False

        with pytest.raises(OAIAPIError):
            agent._interruptible_streaming_api_call({})

        # Should NOT retry — propagates immediately
        assert mock_client.chat.completions.create.call_count == 1


# ── Test: Reasoning Streaming ────────────────────────────────────────────


class TestReasoningStreaming:
    """Verify reasoning content is accumulated and callback fires."""

    @patch("run_agent.AIAgent._create_request_openai_client")
    @patch("run_agent.AIAgent._close_request_openai_client")
    def test_reasoning_callback_fires(self, mock_close, mock_create):
        """Reasoning deltas fire the reasoning_callback."""
        from run_agent import AIAgent

        chunks = [
            _make_stream_chunk(reasoning_content="Let me think"),
            _make_stream_chunk(reasoning_content=" about this"),
            _make_stream_chunk(content="The answer is 42"),
            _make_stream_chunk(finish_reason="stop"),
        ]

        reasoning_deltas = []
        text_deltas = []

        mock_client = MagicMock()
        mock_client.chat.completions.create.return_value = iter(chunks)
        mock_create.return_value = mock_client

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
            stream_delta_callback=lambda t: text_deltas.append(t),
            reasoning_callback=lambda t: reasoning_deltas.append(t),
        )
        agent.api_mode = "chat_completions"
        agent._interrupt_requested = False

        response = agent._interruptible_streaming_api_call({})

        assert reasoning_deltas == ["Let me think", " about this"]
        assert text_deltas == ["The answer is 42"]
        assert response.choices[0].message.reasoning_content == "Let me think about this"
        assert response.choices[0].message.content == "The answer is 42"


# ── Test: _has_stream_consumers ──────────────────────────────────────────


class TestHasStreamConsumers:
    """Verify _has_stream_consumers() detects registered callbacks."""

    def test_no_consumers(self):
        from run_agent import AIAgent
        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
        )
        assert agent._has_stream_consumers() is False

    def test_delta_callback_set(self):
        from run_agent import AIAgent
        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
            stream_delta_callback=lambda t: None,
        )
        assert agent._has_stream_consumers() is True

    def test_stream_callback_set(self):
        from run_agent import AIAgent
        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
        )
        agent._stream_callback = lambda t: None
        assert agent._has_stream_consumers() is True


# ── Test: Codex stream fires callbacks ────────────────────────────────


class TestCodexStreamCallbacks:
    """Verify _run_codex_stream fires delta callbacks."""

    def test_codex_text_delta_fires_callback(self):
        from run_agent import AIAgent

        deltas = []

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
            stream_delta_callback=lambda t: deltas.append(t),
        )
        agent.api_mode = "codex_responses"
        agent._interrupt_requested = False

        # Mock the stream context manager
        mock_event_text = SimpleNamespace(
            type="response.output_text.delta",
            delta="Hello from Codex!",
        )
        mock_event_done = SimpleNamespace(
            type="response.completed",
            delta="",
        )

        mock_stream = MagicMock()
        mock_stream.__enter__ = MagicMock(return_value=mock_stream)
        mock_stream.__exit__ = MagicMock(return_value=False)
        mock_stream.__iter__ = MagicMock(return_value=iter([mock_event_text, mock_event_done]))
        mock_stream.get_final_response.return_value = SimpleNamespace(
            output=[SimpleNamespace(
                type="message",
                content=[SimpleNamespace(type="output_text", text="Hello from Codex!")],
            )],
            status="completed",
        )

        mock_client = MagicMock()
        mock_client.responses.stream.return_value = mock_stream

        response = agent._run_codex_stream({}, client=mock_client)
        assert "Hello from Codex!" in deltas

    def test_codex_stream_refreshes_activity_on_every_event(self):
        from run_agent import AIAgent

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
        )
        agent.api_mode = "codex_responses"
        agent._interrupt_requested = False

        touch_calls = []
        agent._touch_activity = lambda desc: touch_calls.append(desc)

        mock_event_text_1 = SimpleNamespace(
            type="response.output_text.delta",
            delta="Hello",
        )
        mock_event_text_2 = SimpleNamespace(
            type="response.output_text.delta",
            delta=" world",
        )
        mock_event_done = SimpleNamespace(
            type="response.completed",
            delta="",
        )

        mock_stream = MagicMock()
        mock_stream.__enter__ = MagicMock(return_value=mock_stream)
        mock_stream.__exit__ = MagicMock(return_value=False)
        mock_stream.__iter__ = MagicMock(
            return_value=iter([mock_event_text_1, mock_event_text_2, mock_event_done])
        )
        mock_stream.get_final_response.return_value = SimpleNamespace(
            output=[SimpleNamespace(
                type="message",
                content=[SimpleNamespace(type="output_text", text="Hello world")],
            )],
            status="completed",
        )

        mock_client = MagicMock()
        mock_client.responses.stream.return_value = mock_stream

        agent._run_codex_stream({}, client=mock_client)

        assert touch_calls.count("receiving stream response") == 3

    def test_codex_remote_protocol_error_falls_back_to_create_stream(self):
        from run_agent import AIAgent
        import httpx

        fallback_response = SimpleNamespace(
            output=[SimpleNamespace(
                type="message",
                content=[SimpleNamespace(type="output_text", text="fallback from create stream")],
            )],
            status="completed",
        )

        mock_client = MagicMock()
        mock_client.responses.stream.side_effect = httpx.RemoteProtocolError(
            "peer closed connection without sending complete message body"
        )

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
        )
        agent.api_mode = "codex_responses"
        agent._interrupt_requested = False

        with patch.object(agent, "_run_codex_create_stream_fallback", return_value=fallback_response) as mock_fallback:
            response = agent._run_codex_stream({}, client=mock_client)

        assert response is fallback_response
        mock_fallback.assert_called_once_with({}, client=mock_client)

    def test_codex_create_stream_fallback_refreshes_activity_on_every_event(self):
        from run_agent import AIAgent

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
        )
        agent.api_mode = "codex_responses"

        touch_calls = []
        agent._touch_activity = lambda desc: touch_calls.append(desc)

        events = [
            SimpleNamespace(type="response.output_text.delta", delta="Hello"),
            SimpleNamespace(type="response.output_item.done", item=SimpleNamespace(type="message")),
            SimpleNamespace(
                type="response.completed",
                response=SimpleNamespace(
                    output=[SimpleNamespace(
                        type="message",
                        content=[SimpleNamespace(type="output_text", text="Hello")],
                    )]
                ),
            ),
        ]

        class _FakeCreateStream:
            def __iter__(self_inner):
                return iter(events)

            def close(self_inner):
                return None

        mock_stream = _FakeCreateStream()

        mock_client = MagicMock()
        mock_client.responses.create.return_value = mock_stream

        agent._run_codex_create_stream_fallback(
            {"model": "test/model", "instructions": "hi", "input": []},
            client=mock_client,
        )

        assert touch_calls.count("receiving stream response") == len(events)


class TestAnthropicStreamCallbacks:
    """Verify Anthropic streaming refreshes activity on every event."""

    def test_anthropic_stream_refreshes_activity_on_every_event(self):
        from run_agent import AIAgent

        agent = AIAgent(
            model="test/model",
            quiet_mode=True,
            skip_context_files=True,
            skip_memory=True,
        )
        agent.api_mode = "anthropic_messages"
        agent._interrupt_requested = False

        touch_calls = []
        agent._touch_activity = lambda desc: touch_calls.append(desc)

        events = [
            SimpleNamespace(
                type="content_block_delta",
                delta=SimpleNamespace(type="text_delta", text="Hello"),
            ),
            SimpleNamespace(
                type="content_block_delta",
                delta=SimpleNamespace(type="thinking_delta", thinking="thinking"),
            ),
            SimpleNamespace(
                type="content_block_start",
                content_block=SimpleNamespace(type="tool_use", name="terminal"),
            ),
        ]

        final_message = SimpleNamespace(
            content=[],
            stop_reason="end_turn",
        )

        mock_stream = MagicMock()
        mock_stream.__enter__ = MagicMock(return_value=mock_stream)
        mock_stream.__exit__ = MagicMock(return_value=False)
        mock_stream.__iter__ = MagicMock(return_value=iter(events))
        mock_stream.get_final_message.return_value = final_message

        agent._anthropic_client = MagicMock()
        agent._anthropic_client.messages.stream.return_value = mock_stream

        agent._interruptible_streaming_api_call({})

        assert touch_calls.count("receiving stream response") == len(events)