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138 lines
4.3 KiB
Python
138 lines
4.3 KiB
Python
from types import SimpleNamespace
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from unittest.mock import MagicMock
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import pytest
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from nanobot.agent.loop import AgentLoop
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from nanobot.bus.events import InboundMessage
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from nanobot.bus.queue import MessageBus
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from nanobot.command.builtin import (
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build_help_text,
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builtin_command_palette,
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cmd_model,
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register_builtin_commands,
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)
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from nanobot.command.router import CommandContext, CommandRouter
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from nanobot.config.schema import ModelPresetConfig
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def _provider(default_model: str, max_tokens: int = 123) -> MagicMock:
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provider = MagicMock()
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provider.get_default_model.return_value = default_model
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provider.generation = SimpleNamespace(
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max_tokens=max_tokens,
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temperature=0.1,
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reasoning_effort=None,
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)
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return provider
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def _make_loop(tmp_path) -> AgentLoop:
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return AgentLoop(
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bus=MessageBus(),
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provider=_provider("base-model", max_tokens=123),
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workspace=tmp_path,
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model="base-model",
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context_window_tokens=1000,
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model_presets={
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"default": ModelPresetConfig(
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model="base-model",
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max_tokens=123,
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context_window_tokens=1000,
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),
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"fast": ModelPresetConfig(
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model="openai/gpt-4.1",
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max_tokens=4096,
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context_window_tokens=32_768,
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),
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},
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)
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def _ctx(loop: AgentLoop, raw: str, args: str = "") -> CommandContext:
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msg = InboundMessage(channel="cli", sender_id="user", chat_id="direct", content=raw)
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return CommandContext(msg=msg, session=None, key=msg.session_key, raw=raw, args=args, loop=loop)
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@pytest.mark.asyncio
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async def test_model_command_lists_current_and_available_presets(tmp_path) -> None:
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loop = _make_loop(tmp_path)
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out = await cmd_model(_ctx(loop, "/model"))
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assert "Current model: `base-model`" in out.content
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assert "Active preset: `(none)`" in out.content
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assert "`default`" in out.content
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assert "`fast`" in out.content
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assert out.metadata == {"render_as": "text"}
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@pytest.mark.asyncio
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async def test_model_command_switches_preset(tmp_path) -> None:
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loop = _make_loop(tmp_path)
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out = await cmd_model(_ctx(loop, "/model fast", args="fast"))
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assert "Switched model preset to `fast`." in out.content
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assert "Model: `openai/gpt-4.1`" in out.content
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assert loop.model_preset == "fast"
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assert loop.model == "openai/gpt-4.1"
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assert loop.subagents.model == "openai/gpt-4.1"
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assert loop.consolidator.model == "openai/gpt-4.1"
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assert loop.dream.model == "openai/gpt-4.1"
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@pytest.mark.asyncio
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async def test_model_command_switches_back_to_default(tmp_path) -> None:
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loop = _make_loop(tmp_path)
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loop.set_model_preset("fast")
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out = await cmd_model(_ctx(loop, "/model default", args="default"))
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assert "Switched model preset to `default`." in out.content
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assert loop.model_preset == "default"
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assert loop.model == "base-model"
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assert loop.context_window_tokens == 1000
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@pytest.mark.asyncio
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async def test_model_command_unknown_preset_keeps_old_state(tmp_path) -> None:
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loop = _make_loop(tmp_path)
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out = await cmd_model(_ctx(loop, "/model missing", args="missing"))
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assert "Could not switch model preset" in out.content
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assert "Available presets: `default`, `fast`" in out.content
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assert loop.model_preset is None
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assert loop.model == "base-model"
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@pytest.mark.asyncio
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async def test_model_command_does_not_depend_on_my_allow_set(tmp_path) -> None:
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loop = _make_loop(tmp_path)
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assert loop.tools_config.my.allow_set is False
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await cmd_model(_ctx(loop, "/model fast", args="fast"))
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assert loop.model_preset == "fast"
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@pytest.mark.asyncio
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async def test_model_command_registered_as_exact_and_prefix(tmp_path) -> None:
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router = CommandRouter()
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register_builtin_commands(router)
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loop = _make_loop(tmp_path)
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out = await router.dispatch(_ctx(loop, "/model fast"))
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assert out is not None
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assert "Switched model preset" in out.content
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assert loop.model_preset == "fast"
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def test_model_command_in_help_and_palette() -> None:
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palette = builtin_command_palette()
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assert any(item["command"] == "/model" and item["arg_hint"] == "[preset]" for item in palette)
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assert "/model [preset]" in build_help_text()
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