hermes-agent/tests/run_agent/test_flush_memories_codex.py

"""Tests for flush_memories() working correctly across all provider modes.

Catches the bug where Codex mode called chat.completions.create on a
Responses-only client, which would fail silently or with a 404.
"""

import json
import os
import sys
import types
from types import SimpleNamespace
from unittest.mock import patch, MagicMock, call

import pytest

sys.modules.setdefault("fire", types.SimpleNamespace(Fire=lambda *a, **k: None))
sys.modules.setdefault("firecrawl", types.SimpleNamespace(Firecrawl=object))
sys.modules.setdefault("fal_client", types.SimpleNamespace())

import run_agent


class _FakeOpenAI:
    def __init__(self, **kwargs):
        self.kwargs = kwargs
        self.api_key = kwargs.get("api_key", "test")
        self.base_url = kwargs.get("base_url", "http://test")

    def close(self):
        pass


def _make_agent(monkeypatch, api_mode="chat_completions", provider="openrouter"):
    """Build an AIAgent with mocked internals, ready for flush_memories testing."""
    monkeypatch.setattr(run_agent, "get_tool_definitions", lambda **kw: [
        {
            "type": "function",
            "function": {
                "name": "memory",
                "description": "Manage memories.",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "action": {"type": "string"},
                        "target": {"type": "string"},
                        "content": {"type": "string"},
                    },
                },
            },
        },
    ])
    monkeypatch.setattr(run_agent, "check_toolset_requirements", lambda: {})
    monkeypatch.setattr(run_agent, "OpenAI", _FakeOpenAI)

    agent = run_agent.AIAgent(
        api_key="test-key",
        base_url="https://test.example.com/v1",
        provider=provider,
        api_mode=api_mode,
        max_iterations=4,
        quiet_mode=True,
        skip_context_files=True,
        skip_memory=True,
    )
    # Give it a valid memory store
    agent._memory_store = MagicMock()
    agent._memory_flush_min_turns = 1
    agent._user_turn_count = 5
    return agent


def _chat_response_with_memory_call():
    """Simulated chat completions response with a memory tool call."""
    return SimpleNamespace(
        choices=[SimpleNamespace(
            finish_reason="tool_calls",
            message=SimpleNamespace(
                content=None,
                tool_calls=[SimpleNamespace(
                    id="call_mem_0",
                    type="function",
                    function=SimpleNamespace(
                        name="memory",
                        arguments=json.dumps({
                            "action": "add",
                            "target": "notes",
                            "content": "User prefers dark mode.",
                        }),
                    ),
                )],
            ),
        )],
        usage=SimpleNamespace(prompt_tokens=100, completion_tokens=20, total_tokens=120),
    )


class TestFlushMemoriesRespectsConfigTimeout:
    """flush_memories() must NOT hardcode timeout=30.0 — it should defer
    to the config value via auxiliary.flush_memories.timeout."""

    def test_auxiliary_path_omits_explicit_timeout(self, monkeypatch):
        """When calling _call_llm, timeout should NOT be passed so that
        _get_task_timeout('flush_memories') reads from config."""
        agent = _make_agent(monkeypatch, api_mode="chat_completions", provider="openrouter")

        mock_response = _chat_response_with_memory_call()

        with patch("agent.auxiliary_client.call_llm", return_value=mock_response) as mock_call:
            messages = [
                {"role": "user", "content": "Hello"},
                {"role": "assistant", "content": "Hi"},
                {"role": "user", "content": "Note this"},
            ]
            with patch("tools.memory_tool.memory_tool", return_value="Saved."):
                agent.flush_memories(messages)

        mock_call.assert_called_once()
        call_kwargs = mock_call.call_args
        # timeout must NOT be explicitly passed (so _get_task_timeout resolves it)
        assert "timeout" not in call_kwargs.kwargs, (
            "flush_memories should not pass explicit timeout to _call_llm; "
            "let _get_task_timeout('flush_memories') resolve from config"
        )

    def test_fallback_path_uses_config_timeout(self, monkeypatch):
        """When auxiliary client is unavailable and we fall back to direct
        OpenAI client, timeout should come from _get_task_timeout, not hardcoded."""
        agent = _make_agent(monkeypatch, api_mode="chat_completions", provider="openrouter")
        agent.client = MagicMock()
        agent.client.chat.completions.create.return_value = _chat_response_with_memory_call()

        custom_timeout = 180.0

        with patch("agent.auxiliary_client.call_llm", side_effect=RuntimeError("no provider")), \
             patch("agent.auxiliary_client._get_task_timeout", return_value=custom_timeout) as mock_gtt, \
             patch("tools.memory_tool.memory_tool", return_value="Saved."):
            messages = [
                {"role": "user", "content": "Hello"},
                {"role": "assistant", "content": "Hi"},
                {"role": "user", "content": "Save this"},
            ]
            agent.flush_memories(messages)

        mock_gtt.assert_called_once_with("flush_memories")
        agent.client.chat.completions.create.assert_called_once()
        call_kwargs = agent.client.chat.completions.create.call_args
        assert call_kwargs.kwargs.get("timeout") == custom_timeout, (
            f"Expected timeout={custom_timeout} from config, got {call_kwargs.kwargs.get('timeout')}"
        )


class TestFlushMemoriesUsesAuxiliaryClient:
    """When an auxiliary client is available, flush_memories should use it
    instead of self.client -- especially critical in Codex mode."""

    def test_flush_uses_auxiliary_when_available(self, monkeypatch):
        agent = _make_agent(monkeypatch, api_mode="codex_responses", provider="openai-codex")

        mock_response = _chat_response_with_memory_call()

        with patch("agent.auxiliary_client.call_llm", return_value=mock_response) as mock_call:
            messages = [
                {"role": "user", "content": "Hello"},
                {"role": "assistant", "content": "Hi there"},
                {"role": "user", "content": "Remember this"},
            ]
            with patch("tools.memory_tool.memory_tool", return_value="Saved.") as mock_memory:
                agent.flush_memories(messages)

        mock_call.assert_called_once()
        call_kwargs = mock_call.call_args
        assert call_kwargs.kwargs.get("task") == "flush_memories"

    def test_flush_uses_main_client_when_no_auxiliary(self, monkeypatch):
        """Non-Codex mode with no auxiliary falls back to self.client."""
        agent = _make_agent(monkeypatch, api_mode="chat_completions", provider="openrouter")
        agent.client = MagicMock()
        agent.client.chat.completions.create.return_value = _chat_response_with_memory_call()

        with patch("agent.auxiliary_client.call_llm", side_effect=RuntimeError("no provider")):
            messages = [
                {"role": "user", "content": "Hello"},
                {"role": "assistant", "content": "Hi there"},
                {"role": "user", "content": "Save this"},
            ]
            with patch("tools.memory_tool.memory_tool", return_value="Saved."):
                agent.flush_memories(messages)

        agent.client.chat.completions.create.assert_called_once()

    def test_auxiliary_provider_failure_surfaces_warning_and_falls_back(self, monkeypatch):
        """Provider/API failures from auxiliary flush must be visible.

        Exhausted keys and rate limits are not always RuntimeError. They used
        to fall into the broad outer handler and disappear into debug logs.
        """
        agent = _make_agent(monkeypatch, api_mode="chat_completions", provider="openrouter")
        agent.client = MagicMock()
        agent.client.chat.completions.create.return_value = _chat_response_with_memory_call()
        events = []
        agent.status_callback = lambda kind, text=None: events.append((kind, text))

        with patch("agent.auxiliary_client.call_llm", side_effect=Exception("opencode-go key exhausted")), \
             patch("tools.memory_tool.memory_tool", return_value="Saved."):
            messages = [
                {"role": "user", "content": "Hello"},
                {"role": "assistant", "content": "Hi there"},
                {"role": "user", "content": "Save this"},
            ]
            agent.flush_memories(messages)

        agent.client.chat.completions.create.assert_called_once()
        assert any(kind == "warn" and "Auxiliary memory flush failed" in text for kind, text in events)

    def test_flush_executes_memory_tool_calls(self, monkeypatch):
        """Verify that memory tool calls from the flush response actually get executed."""
        agent = _make_agent(monkeypatch, api_mode="chat_completions", provider="openrouter")

        mock_response = _chat_response_with_memory_call()

        with patch("agent.auxiliary_client.call_llm", return_value=mock_response):
            messages = [
                {"role": "user", "content": "Hello"},
                {"role": "assistant", "content": "Hi"},
                {"role": "user", "content": "Note this"},
            ]
            with patch("tools.memory_tool.memory_tool", return_value="Saved.") as mock_memory:
                agent.flush_memories(messages)

        mock_memory.assert_called_once()
        call_kwargs = mock_memory.call_args
        assert call_kwargs.kwargs["action"] == "add"
        assert call_kwargs.kwargs["target"] == "notes"
        assert "dark mode" in call_kwargs.kwargs["content"]

    def test_flush_strips_artifacts_from_messages(self, monkeypatch):
        """After flush, the flush prompt and any response should be removed from messages."""
        agent = _make_agent(monkeypatch, api_mode="chat_completions", provider="openrouter")

        mock_response = _chat_response_with_memory_call()

        with patch("agent.auxiliary_client.call_llm", return_value=mock_response):
            messages = [
                {"role": "user", "content": "Hello"},
                {"role": "assistant", "content": "Hi"},
                {"role": "user", "content": "Remember X"},
            ]
            original_len = len(messages)
            with patch("tools.memory_tool.memory_tool", return_value="Saved."):
                agent.flush_memories(messages)

        # Messages should not grow from the flush
        assert len(messages) <= original_len
        # No flush sentinel should remain
        for msg in messages:
            assert "_flush_sentinel" not in msg


class TestFlushMemoriesCodexFallback:
    """When no auxiliary client exists and we're in Codex mode, flush should
    use the Codex Responses API path instead of chat.completions."""

    def test_codex_mode_no_aux_uses_responses_api(self, monkeypatch):
        agent = _make_agent(monkeypatch, api_mode="codex_responses", provider="openai-codex")

        codex_response = SimpleNamespace(
            output=[
                SimpleNamespace(
                    type="function_call",
                    call_id="call_1",
                    name="memory",
                    arguments=json.dumps({
                        "action": "add",
                        "target": "notes",
                        "content": "Codex flush test",
                    }),
                ),
            ],
            usage=SimpleNamespace(input_tokens=50, output_tokens=10, total_tokens=60),
            status="completed",
            model="gpt-5-codex",
        )

        with patch("agent.auxiliary_client.call_llm", side_effect=RuntimeError("no provider")), \
             patch.object(agent, "_run_codex_stream", return_value=codex_response) as mock_stream, \
             patch.object(agent, "_build_api_kwargs") as mock_build, \
             patch("tools.memory_tool.memory_tool", return_value="Saved.") as mock_memory:
            mock_build.return_value = {
                "model": "gpt-5-codex",
                "instructions": "test",
                "input": [],
                "tools": [],
                "max_output_tokens": 4096,
            }
            messages = [
                {"role": "user", "content": "Hello"},
                {"role": "assistant", "content": "Hi"},
                {"role": "user", "content": "Save this"},
            ]
            agent.flush_memories(messages)

        mock_stream.assert_called_once()
        mock_memory.assert_called_once()
        assert mock_memory.call_args.kwargs["content"] == "Codex flush test"