mirror of
https://github.com/NousResearch/hermes-agent.git
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ce9f6712ff
The 1.0s sleep between sequential tool calls has been present since the initial commit with no documented rationale. It sleeps between local tool executions — the next LLM request goes out only after the whole batch — so it rate-limits nothing, and the parallel read-only path already runs with no delay. Every multi-tool turn pays (N-1) seconds of dead time. Remove the sleep, the internal tool_delay plumbing, and dead test assignments. AIAgent.__init__ keeps tool_delay as a deprecated no-op keyword for one release so existing programmatic callers construct cleanly; passing it emits a DeprecationWarning.
97 lines
3.1 KiB
Python
97 lines
3.1 KiB
Python
"""Malformed model tool arguments are rejected at the dispatch boundary."""
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import json
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from types import SimpleNamespace
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from unittest.mock import MagicMock, patch
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import pytest
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from run_agent import AIAgent
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def _make_agent() -> AIAgent:
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tool_defs = [
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{
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"type": "function",
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"function": {
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"name": "web_search",
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"description": "search",
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"parameters": {"type": "object", "properties": {}},
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},
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}
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]
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with (
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patch("run_agent.get_tool_definitions", return_value=tool_defs),
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patch("run_agent.check_toolset_requirements", return_value={}),
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patch("hermes_cli.config.load_config", return_value={}),
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patch("run_agent.OpenAI"),
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):
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agent = AIAgent(
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api_key="test-key-1234567890",
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base_url="https://openrouter.ai/api/v1",
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quiet_mode=True,
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skip_context_files=True,
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skip_memory=True,
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)
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agent.client = MagicMock()
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agent._flush_messages_to_session_db = MagicMock()
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return agent
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def _tool_call(call_id: str, arguments: str):
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return SimpleNamespace(
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id=call_id,
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type="function",
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function=SimpleNamespace(name="web_search", arguments=arguments),
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)
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@pytest.mark.parametrize("dispatch_mode", ["sequential", "concurrent"])
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@pytest.mark.parametrize(
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"bad_arguments",
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[
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pytest.param("not-json", id="malformed-json"),
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pytest.param('"scalar"', id="scalar"),
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pytest.param("[]", id="list"),
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pytest.param("", id="empty"),
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pytest.param('{"query": "cut off', id="truncated"),
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],
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)
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def test_malformed_arguments_are_rejected_without_blocking_valid_sibling(
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dispatch_mode: str,
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bad_arguments: str,
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):
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agent = _make_agent()
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assistant_message = SimpleNamespace(
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content="",
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tool_calls=[
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_tool_call("call-bad", bad_arguments),
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_tool_call("call-good", '{"query": "valid"}'),
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],
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)
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messages = []
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executed = []
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def fake_dispatch(name, args, task_id, *positional, **kwargs):
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call_id = kwargs.get("tool_call_id") or (positional[0] if positional else None)
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executed.append((name, args, call_id))
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return json.dumps({"ok": args["query"]})
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with (
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patch("run_agent.handle_function_call", side_effect=fake_dispatch),
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patch.object(agent, "_invoke_tool", side_effect=fake_dispatch),
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patch(
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"agent.tool_executor.maybe_persist_tool_result",
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side_effect=lambda **kwargs: kwargs["content"],
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),
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):
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execute = getattr(agent, f"_execute_tool_calls_{dispatch_mode}")
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execute(assistant_message, messages, "task-1")
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assert executed == [("web_search", {"query": "valid"}, "call-good")]
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assert [message["tool_call_id"] for message in messages] == ["call-bad", "call-good"]
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assert len([message for message in messages if message["tool_call_id"] == "call-bad"]) == 1
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assert '"error": "Invalid tool arguments"' in messages[0]["content"]
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assert "JSON object" in messages[0]["content"]
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assert json.loads(messages[1]["content"]) == {"ok": "valid"}
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