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b5b9c2e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 | """Tests for gateway /fast support and Priority Processing routing."""
import sys
import threading
import types
from types import SimpleNamespace
from unittest.mock import AsyncMock, patch
import pytest
import yaml
import gateway.run as gateway_run
from gateway.config import Platform
from gateway.platforms.base import MessageEvent
from gateway.session import SessionSource
class _CapturingAgent:
last_init = None
last_run = None
def __init__(self, *args, **kwargs):
type(self).last_init = dict(kwargs)
self.tools = []
def run_conversation(self, user_message, conversation_history=None, task_id=None, persist_user_message=None):
type(self).last_run = {
"user_message": user_message,
"conversation_history": conversation_history,
"task_id": task_id,
"persist_user_message": persist_user_message,
}
return {
"final_response": "ok",
"messages": [],
"api_calls": 1,
"completed": True,
}
def _install_fake_agent(monkeypatch):
fake_run_agent = types.ModuleType("run_agent")
fake_run_agent.AIAgent = _CapturingAgent
monkeypatch.setitem(sys.modules, "run_agent", fake_run_agent)
def _make_runner():
runner = object.__new__(gateway_run.GatewayRunner)
runner.adapters = {}
runner._ephemeral_system_prompt = ""
runner._prefill_messages = []
runner._reasoning_config = None
runner._service_tier = None
runner._provider_routing = {}
runner._fallback_model = None
runner._smart_model_routing = {}
runner._running_agents = {}
runner._pending_model_notes = {}
runner._session_db = None
runner._agent_cache = {}
runner._agent_cache_lock = threading.Lock()
runner._session_model_overrides = {}
runner.hooks = SimpleNamespace(loaded_hooks=False)
runner.config = SimpleNamespace(streaming=None)
runner.session_store = SimpleNamespace(
get_or_create_session=lambda source: SimpleNamespace(session_id="session-1"),
load_transcript=lambda session_id: [],
)
runner._get_or_create_gateway_honcho = lambda session_key: (None, None)
runner._enrich_message_with_vision = AsyncMock(return_value="ENRICHED")
return runner
def _make_source() -> SessionSource:
return SessionSource(
platform=Platform.TELEGRAM,
chat_id="12345",
chat_type="dm",
user_id="user-1",
)
def _make_event(text: str) -> MessageEvent:
return MessageEvent(text=text, source=_make_source(), message_id="m1")
def test_turn_route_injects_priority_processing_without_changing_runtime():
runner = _make_runner()
runner._service_tier = "priority"
runtime_kwargs = {
"api_key": "***",
"base_url": "https://openrouter.ai/api/v1",
"provider": "openrouter",
"api_mode": "chat_completions",
"command": None,
"args": [],
"credential_pool": None,
}
with patch("agent.smart_model_routing.resolve_turn_route", return_value={
"model": "gpt-5.4",
"runtime": dict(runtime_kwargs),
"label": None,
"signature": ("gpt-5.4", "openrouter", "https://openrouter.ai/api/v1", "chat_completions", None, ()),
}):
route = gateway_run.GatewayRunner._resolve_turn_agent_config(runner, "hi", "gpt-5.4", runtime_kwargs)
assert route["runtime"]["provider"] == "openrouter"
assert route["runtime"]["api_mode"] == "chat_completions"
assert route["request_overrides"] == {"service_tier": "priority"}
def test_turn_route_skips_priority_processing_for_unsupported_models():
runner = _make_runner()
runner._service_tier = "priority"
runtime_kwargs = {
"api_key": "***",
"base_url": "https://openrouter.ai/api/v1",
"provider": "openrouter",
"api_mode": "chat_completions",
"command": None,
"args": [],
"credential_pool": None,
}
with patch("agent.smart_model_routing.resolve_turn_route", return_value={
"model": "gpt-5.3-codex",
"runtime": dict(runtime_kwargs),
"label": None,
"signature": ("gpt-5.3-codex", "openrouter", "https://openrouter.ai/api/v1", "chat_completions", None, ()),
}):
route = gateway_run.GatewayRunner._resolve_turn_agent_config(runner, "hi", "gpt-5.3-codex", runtime_kwargs)
assert route["request_overrides"] is None
@pytest.mark.asyncio
async def test_handle_fast_command_persists_config(monkeypatch, tmp_path):
runner = _make_runner()
monkeypatch.setattr(gateway_run, "_hermes_home", tmp_path)
monkeypatch.setattr(gateway_run, "_load_gateway_config", lambda: {})
monkeypatch.setattr(gateway_run, "_resolve_gateway_model", lambda config=None: "gpt-5.4")
response = await runner._handle_fast_command(_make_event("/fast fast"))
assert "FAST" in response
assert runner._service_tier == "priority"
saved = yaml.safe_load((tmp_path / "config.yaml").read_text(encoding="utf-8"))
assert saved["agent"]["service_tier"] == "fast"
@pytest.mark.asyncio
async def test_run_agent_passes_priority_processing_to_gateway_agent(monkeypatch, tmp_path):
_install_fake_agent(monkeypatch)
runner = _make_runner()
(tmp_path / "config.yaml").write_text("agent:\n service_tier: fast\n", encoding="utf-8")
monkeypatch.setattr(gateway_run, "_hermes_home", tmp_path)
monkeypatch.setattr(gateway_run, "_env_path", tmp_path / ".env")
monkeypatch.setattr(gateway_run, "load_dotenv", lambda *args, **kwargs: None)
monkeypatch.setattr(gateway_run, "_load_gateway_config", lambda: {})
monkeypatch.setattr(gateway_run, "_resolve_gateway_model", lambda config=None: "gpt-5.4")
monkeypatch.setattr(
gateway_run,
"_resolve_runtime_agent_kwargs",
lambda: {
"provider": "openrouter",
"api_mode": "chat_completions",
"base_url": "https://openrouter.ai/api/v1",
"api_key": "***",
},
)
import hermes_cli.tools_config as tools_config
monkeypatch.setattr(tools_config, "_get_platform_tools", lambda user_config, platform_key: {"core"})
_CapturingAgent.last_init = None
result = await runner._run_agent(
message="hi",
context_prompt="",
history=[],
source=_make_source(),
session_id="session-1",
session_key="agent:main:telegram:dm:12345",
)
assert result["final_response"] == "ok"
assert _CapturingAgent.last_init["service_tier"] == "priority"
assert _CapturingAgent.last_init["request_overrides"] == {"service_tier": "priority"}
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