mirror of
https://github.com/NousResearch/hermes-agent.git
synced 2026-04-25 00:51:20 +00:00
971542d254
Move batch_runner, trajectory_compressor, mini_swe_runner, and rl_cli from the project root into scripts/, update all imports, logger names, pyproject.toml, and downstream test references.
60 lines
2.1 KiB
Python
60 lines
2.1 KiB
Python
from types import SimpleNamespace
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from unittest.mock import MagicMock, patch
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def test_run_task_kimi_omits_temperature():
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"""Kimi models should NOT have client-side temperature overrides.
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The Kimi gateway selects the correct temperature server-side.
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"""
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with patch("openai.OpenAI") as mock_openai:
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client = MagicMock()
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client.chat.completions.create.return_value = SimpleNamespace(
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choices=[SimpleNamespace(message=SimpleNamespace(content="done", tool_calls=[]))]
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)
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mock_openai.return_value = client
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from scripts.mini_swe_runner import MiniSWERunner
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runner = MiniSWERunner(
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model="kimi-for-coding",
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base_url="https://api.kimi.com/coding/v1",
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api_key="test-key",
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env_type="local",
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max_iterations=1,
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)
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runner._create_env = MagicMock()
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runner._cleanup_env = MagicMock()
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result = runner.run_task("2+2")
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assert result["completed"] is True
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assert "temperature" not in client.chat.completions.create.call_args.kwargs
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def test_run_task_public_moonshot_kimi_k2_5_omits_temperature():
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"""kimi-k2.5 on the public Moonshot API should not get a forced temperature."""
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with patch("openai.OpenAI") as mock_openai:
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client = MagicMock()
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client.base_url = "https://api.moonshot.ai/v1"
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client.chat.completions.create.return_value = SimpleNamespace(
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choices=[SimpleNamespace(message=SimpleNamespace(content="done", tool_calls=[]))]
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)
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mock_openai.return_value = client
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from scripts.mini_swe_runner import MiniSWERunner
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runner = MiniSWERunner(
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model="kimi-k2.5",
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base_url="https://api.moonshot.ai/v1",
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api_key="test-key",
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env_type="local",
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max_iterations=1,
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)
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runner._create_env = MagicMock()
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runner._cleanup_env = MagicMock()
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result = runner.run_task("2+2")
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assert result["completed"] is True
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assert "temperature" not in client.chat.completions.create.call_args.kwargs
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