Hermes-agent

2026-06-14 14:30:48 -04:00
commit dac4b88b94
5058 changed files with 1884848 additions and 0 deletions
@@ -0,0 +1,209 @@
+import sys
+import threading
+import time
+import types
+from types import SimpleNamespace
+
+import httpx
+import pytest
+from openai import APIConnectionError
+
+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 FakeRequestClient:
+    def __init__(self, responder):
+        self._responder = responder
+        self._client = SimpleNamespace(is_closed=False)
+        self.chat = SimpleNamespace(
+            completions=SimpleNamespace(create=self._create)
+        )
+        self.responses = SimpleNamespace()
+        self.close_calls = 0
+
+    def _create(self, **kwargs):
+        return self._responder(**kwargs)
+
+    def close(self):
+        self.close_calls += 1
+        self._client.is_closed = True
+
+
+class FakeSharedClient(FakeRequestClient):
+    pass
+
+
+class OpenAIFactory:
+    def __init__(self, clients):
+        self._clients = list(clients)
+        self.calls = []
+
+    def __call__(self, **kwargs):
+        self.calls.append(dict(kwargs))
+        if not self._clients:
+            raise AssertionError("OpenAI factory exhausted")
+        return self._clients.pop(0)
+
+
+def _build_agent(shared_client=None):
+    agent = run_agent.AIAgent.__new__(run_agent.AIAgent)
+    agent.api_mode = "chat_completions"
+    agent.provider = "openai-codex"
+    agent.base_url = "https://chatgpt.com/backend-api/codex"
+    agent.model = "gpt-5-codex"
+    agent.log_prefix = ""
+    agent.quiet_mode = True
+    agent._interrupt_requested = False
+    agent._interrupt_message = None
+    agent._client_lock = threading.RLock()
+    agent._client_kwargs = {"api_key": "***", "base_url": agent.base_url}
+    agent.client = shared_client or FakeSharedClient(lambda **kwargs: {"shared": True})
+    agent.stream_delta_callback = None
+    agent._stream_callback = None
+    agent.reasoning_callback = None
+    agent.status_callback = None
+    return agent
+
+
+def _connection_error():
+    return APIConnectionError(
+        message="Connection error.",
+        request=httpx.Request("POST", "https://example.com/v1/chat/completions"),
+    )
+
+
+def test_retry_after_api_connection_error_recreates_request_client(monkeypatch):
+    first_request = FakeRequestClient(lambda **kwargs: (_ for _ in ()).throw(_connection_error()))
+    second_request = FakeRequestClient(lambda **kwargs: {"ok": True})
+    factory = OpenAIFactory([first_request, second_request])
+    monkeypatch.setattr(run_agent, "OpenAI", factory)
+
+    agent = _build_agent()
+
+    with pytest.raises(APIConnectionError):
+        agent._interruptible_api_call({"model": agent.model, "messages": []})
+
+    result = agent._interruptible_api_call({"model": agent.model, "messages": []})
+
+    assert result == {"ok": True}
+    assert len(factory.calls) == 2
+    assert first_request.close_calls >= 1
+    assert second_request.close_calls >= 1
+
+
+def test_stale_non_stream_close_is_single_owner(monkeypatch):
+    def slow_responder(**kwargs):
+        time.sleep(0.1)
+        raise _connection_error()
+
+    request_client = FakeRequestClient(slow_responder)
+    factory = OpenAIFactory([request_client])
+    monkeypatch.setattr(run_agent, "OpenAI", factory)
+
+    agent = _build_agent()
+    agent._compute_non_stream_stale_timeout = lambda api_payload: 0.01
+
+    with pytest.raises(APIConnectionError):
+        agent._interruptible_api_call({"model": agent.model, "messages": []})
+
+    assert request_client.close_calls == 1
+
+
+def test_closed_shared_client_is_recreated_before_request(monkeypatch):
+    stale_shared = FakeSharedClient(lambda **kwargs: (_ for _ in ()).throw(AssertionError("stale shared client used")))
+    stale_shared._client.is_closed = True
+
+    replacement_shared = FakeSharedClient(lambda **kwargs: {"replacement": True})
+    request_client = FakeRequestClient(lambda **kwargs: {"ok": "fresh-request-client"})
+    factory = OpenAIFactory([replacement_shared, request_client])
+    monkeypatch.setattr(run_agent, "OpenAI", factory)
+
+    agent = _build_agent(shared_client=stale_shared)
+    result = agent._interruptible_api_call({"model": agent.model, "messages": []})
+
+    assert result == {"ok": "fresh-request-client"}
+    assert agent.client is replacement_shared
+    assert stale_shared.close_calls >= 1
+    assert replacement_shared.close_calls == 0
+    assert len(factory.calls) == 2
+
+
+def test_concurrent_requests_do_not_break_each_other_when_one_client_closes(monkeypatch):
+    first_started = threading.Event()
+    first_closed = threading.Event()
+
+    def first_responder(**kwargs):
+        first_started.set()
+        first_client.close()
+        first_closed.set()
+        raise _connection_error()
+
+    def second_responder(**kwargs):
+        assert first_started.wait(timeout=2)
+        assert first_closed.wait(timeout=2)
+        return {"ok": "second"}
+
+    first_client = FakeRequestClient(first_responder)
+    second_client = FakeRequestClient(second_responder)
+    factory = OpenAIFactory([first_client, second_client])
+    monkeypatch.setattr(run_agent, "OpenAI", factory)
+
+    agent = _build_agent()
+    results = {}
+
+    def run_call(name):
+        try:
+            results[name] = agent._interruptible_api_call({"model": agent.model, "messages": []})
+        except Exception as exc:  # noqa: BLE001 - asserting exact type below
+            results[name] = exc
+
+    thread_one = threading.Thread(target=run_call, args=("first",), daemon=True)
+    thread_two = threading.Thread(target=run_call, args=("second",), daemon=True)
+    thread_one.start()
+    thread_two.start()
+    thread_one.join(timeout=5)
+    thread_two.join(timeout=5)
+
+    values = list(results.values())
+    assert sum(isinstance(value, APIConnectionError) for value in values) == 1
+    assert values.count({"ok": "second"}) == 1
+    assert len(factory.calls) == 2
+
+
+
+def test_streaming_call_recreates_closed_shared_client_before_request(monkeypatch):
+    chunks = iter([
+        SimpleNamespace(
+            model="gpt-5-codex",
+            choices=[SimpleNamespace(delta=SimpleNamespace(content="Hello", tool_calls=None), finish_reason=None)],
+        ),
+        SimpleNamespace(
+            model="gpt-5-codex",
+            choices=[SimpleNamespace(delta=SimpleNamespace(content=" world", tool_calls=None), finish_reason="stop")],
+        ),
+    ])
+
+    stale_shared = FakeSharedClient(lambda **kwargs: (_ for _ in ()).throw(AssertionError("stale shared client used")))
+    stale_shared._client.is_closed = True
+
+    replacement_shared = FakeSharedClient(lambda **kwargs: {"replacement": True})
+    request_client = FakeRequestClient(lambda **kwargs: chunks)
+    factory = OpenAIFactory([replacement_shared, request_client])
+    monkeypatch.setattr(run_agent, "OpenAI", factory)
+
+    agent = _build_agent(shared_client=stale_shared)
+    agent.stream_delta_callback = lambda _delta: None
+    # Force chat_completions mode so the streaming path uses
+    # chat.completions.create(stream=True) instead of Codex responses.stream()
+    agent.api_mode = "chat_completions"
+    response = agent._interruptible_streaming_api_call({"model": agent.model, "messages": []})
+
+    assert response.choices[0].message.content == "Hello world"
+    assert agent.client is replacement_shared
+    assert stale_shared.close_calls >= 1
+    assert request_client.close_calls >= 1
+    assert len(factory.calls) == 2