mirror of
https://github.com/NousResearch/hermes-agent.git
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0dd26c9495
Production fixes: - voice_mode.py: add is_recording property to AudioRecorder (parity with TermuxAudioRecorder) - cronjob_tools.py: add sms example to deliver description Test fixes: - test_real_interrupt_subagent: add missing _execution_thread_id (fixes 19 cascading failures from leaked _build_system_prompt patch) - test_anthropic_error_handling: add _FakeMessages, override _interruptible_streaming_api_call (6 fixes) - test_ctx_halving_fix: add missing request_overrides attribute (4 fixes) - test_context_token_tracking: set _disable_streaming=True for non-streaming test path (4 fixes) - test_dict_tool_call_args: set _disable_streaming=True (1 fix) - test_provider_parity: add model='gpt-4o' for AIGateway tests to meet 64K minimum context (4 fixes) - test_session_race_guard: add user_id to SessionSource (5 fixes) - test_restart_drain/helpers: add user_id to SessionSource (2 fixes) - test_telegram_photo_interrupts: add user_id to SessionSource - test_interrupt: target thread_id for per-thread interrupt system (2 fixes) - test_zombie_process_cleanup: rewrite with object.__new__ for refactored GatewayRunner.stop() (1 fix) - test_browser_camofox_state: update config version 15->17 (1 fix) - test_trajectory_compressor_async: widen lookback window 10->20 for line-shifted AsyncOpenAI (1 fix) - test_voice_mode: fixed by production is_recording addition (5 fixes) - test_voice_cli_integration: add _attached_images to CLI stub (2 fixes) - test_hermes_logging: explicit propagation/level reset for cross-test pollution defense (1 fix) - test_run_agent: add base_url for OpenRouter detection tests (2 fixes) Deleted: - test_inline_think_blocks_reasoning_only_accepted: tested unimplemented inline <think> handling
128 lines
5.1 KiB
Python
128 lines
5.1 KiB
Python
"""Tests for context token tracking in run_agent.py's usage extraction.
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The context counter (status bar) must show the TOTAL prompt tokens including
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Anthropic's cached portions. This is an integration test for the token
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extraction in run_conversation(), not the ContextCompressor itself (which
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is tested in tests/agent/test_context_compressor.py).
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"""
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import sys
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import types
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from types import SimpleNamespace
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sys.modules.setdefault("fire", types.SimpleNamespace(Fire=lambda *a, **k: None))
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sys.modules.setdefault("firecrawl", types.SimpleNamespace(Firecrawl=object))
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sys.modules.setdefault("fal_client", types.SimpleNamespace())
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import run_agent
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def _patch_bootstrap(monkeypatch):
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monkeypatch.setattr(run_agent, "get_tool_definitions", lambda **kwargs: [{
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"type": "function",
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"function": {"name": "t", "description": "t", "parameters": {"type": "object", "properties": {}}},
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}])
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monkeypatch.setattr(run_agent, "check_toolset_requirements", lambda: {})
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class _FakeAnthropicClient:
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def close(self):
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pass
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class _FakeOpenAIClient:
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"""Fake OpenAI client returned by mocked resolve_provider_client."""
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api_key = "fake-codex-key"
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base_url = "https://api.openai.com/v1"
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_default_headers = None
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def _make_agent(monkeypatch, api_mode, provider, response_fn):
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_patch_bootstrap(monkeypatch)
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if api_mode == "anthropic_messages":
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monkeypatch.setattr("agent.anthropic_adapter.build_anthropic_client", lambda k, b=None: _FakeAnthropicClient())
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if provider == "openai-codex":
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monkeypatch.setattr(
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"agent.auxiliary_client.resolve_provider_client",
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lambda *a, **kw: (_FakeOpenAIClient(), "test-model"),
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)
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class _A(run_agent.AIAgent):
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def __init__(self, *a, **kw):
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kw.update(skip_context_files=True, skip_memory=True, max_iterations=4)
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super().__init__(*a, **kw)
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self._cleanup_task_resources = self._persist_session = lambda *a, **k: None
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self._save_trajectory = self._save_session_log = lambda *a, **k: None
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def run_conversation(self, msg, conversation_history=None, task_id=None):
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self._interruptible_api_call = lambda kw: response_fn()
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self._disable_streaming = True
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return super().run_conversation(msg, conversation_history=conversation_history, task_id=task_id)
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return _A(model="test-model", api_key="test-key", provider=provider, api_mode=api_mode)
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def _anthropic_resp(input_tok, output_tok, cache_read=0, cache_creation=0):
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usage_fields = {"input_tokens": input_tok, "output_tokens": output_tok}
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if cache_read:
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usage_fields["cache_read_input_tokens"] = cache_read
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if cache_creation:
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usage_fields["cache_creation_input_tokens"] = cache_creation
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return SimpleNamespace(
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content=[SimpleNamespace(type="text", text="ok")],
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stop_reason="end_turn",
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usage=SimpleNamespace(**usage_fields),
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model="claude-sonnet-4-6",
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)
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# -- Anthropic: cached tokens must be included --
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def test_anthropic_cache_read_and_creation_added(monkeypatch):
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agent = _make_agent(monkeypatch, "anthropic_messages", "anthropic",
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lambda: _anthropic_resp(3, 10, cache_read=15000, cache_creation=2000))
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agent.run_conversation("hi")
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assert agent.context_compressor.last_prompt_tokens == 17003 # 3+15000+2000
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assert agent.session_prompt_tokens == 17003
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def test_anthropic_no_cache_fields(monkeypatch):
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agent = _make_agent(monkeypatch, "anthropic_messages", "anthropic",
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lambda: _anthropic_resp(500, 20))
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agent.run_conversation("hi")
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assert agent.context_compressor.last_prompt_tokens == 500
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def test_anthropic_cache_read_only(monkeypatch):
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agent = _make_agent(monkeypatch, "anthropic_messages", "anthropic",
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lambda: _anthropic_resp(5, 15, cache_read=17666, cache_creation=15))
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agent.run_conversation("hi")
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assert agent.context_compressor.last_prompt_tokens == 17686 # 5+17666+15
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# -- OpenAI: prompt_tokens already total --
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def test_openai_prompt_tokens_unchanged(monkeypatch):
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resp = lambda: SimpleNamespace(
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choices=[SimpleNamespace(index=0, message=SimpleNamespace(
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role="assistant", content="ok", tool_calls=None, reasoning_content=None,
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), finish_reason="stop")],
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usage=SimpleNamespace(prompt_tokens=5000, completion_tokens=100, total_tokens=5100),
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model="gpt-4o",
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)
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agent = _make_agent(monkeypatch, "chat_completions", "openrouter", resp)
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agent.run_conversation("hi")
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assert agent.context_compressor.last_prompt_tokens == 5000
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# -- Codex: no cache fields, getattr returns 0 --
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def test_codex_no_cache_fields(monkeypatch):
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resp = lambda: SimpleNamespace(
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output=[SimpleNamespace(type="message", content=[SimpleNamespace(type="output_text", text="ok")])],
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usage=SimpleNamespace(input_tokens=3000, output_tokens=50, total_tokens=3050),
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status="completed", model="gpt-5-codex",
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)
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agent = _make_agent(monkeypatch, "codex_responses", "openai-codex", resp)
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agent.run_conversation("hi")
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assert agent.context_compressor.last_prompt_tokens == 3000
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