Remove `airllm` from timmy_model_backend Literal type and delete the airllm_model_size field plus associated comments. Replace the one settings.airllm_model_size reference in agent.py with a hardcoded default, and clean up mock assignments in tests. Fixes #473 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
453 lines
17 KiB
Python
453 lines
17 KiB
Python
from unittest.mock import MagicMock, patch
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def test_create_timmy_custom_db_file():
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with (
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patch("timmy.agent.Agent"),
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patch("timmy.agent.Ollama"),
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patch("timmy.agent.SqliteDb") as MockDb,
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patch("timmy.agent._resolve_model_with_fallback", return_value=("llama3.2:3b", False)),
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patch("timmy.agent._check_model_available", return_value=True),
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patch("timmy.agent._warmup_model", return_value=True),
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):
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from timmy.agent import create_timmy
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create_timmy(db_file="custom.db")
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MockDb.assert_called_once_with(db_file="custom.db")
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def test_create_timmy_embeds_system_prompt():
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with (
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patch("timmy.agent.Agent") as MockAgent,
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patch("timmy.agent.Ollama"),
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patch("timmy.agent.SqliteDb"),
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patch("timmy.agent._resolve_model_with_fallback", return_value=("llama3.2:3b", False)),
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patch("timmy.agent._check_model_available", return_value=True),
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patch("timmy.agent._warmup_model", return_value=True),
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):
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from timmy.agent import create_timmy
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create_timmy()
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kwargs = MockAgent.call_args.kwargs
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# Prompt should contain base system prompt (may have memory context appended)
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# Default model (llama3.2) uses the lite prompt
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assert "Timmy" in kwargs["description"]
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# ── Ollama host regression (container connectivity) ─────────────────────────
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def test_create_timmy_passes_ollama_url_to_model():
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"""Regression: Ollama model must receive settings.ollama_url as host.
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Without this, containers default to localhost:11434 which is unreachable
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when Ollama runs on the Docker host.
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"""
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with (
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patch("timmy.agent.Agent"),
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patch("timmy.agent.Ollama") as MockOllama,
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patch("timmy.agent.SqliteDb"),
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patch("timmy.agent._resolve_model_with_fallback", return_value=("llama3.2:3b", False)),
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patch("timmy.agent._check_model_available", return_value=True),
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patch("timmy.agent._warmup_model", return_value=True),
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):
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from timmy.agent import create_timmy
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create_timmy()
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kwargs = MockOllama.call_args.kwargs
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assert "host" in kwargs, "Ollama() must receive host= parameter"
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from config import settings
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assert kwargs["host"] == settings.ollama_url
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def test_create_timmy_respects_custom_ollama_url():
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"""Ollama host should follow OLLAMA_URL when overridden in config."""
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custom_url = "http://host.docker.internal:11434"
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with (
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patch("timmy.agent.Agent"),
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patch("timmy.agent.Ollama") as MockOllama,
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patch("timmy.agent.SqliteDb"),
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patch("timmy.agent.settings") as mock_settings,
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patch("timmy.agent._resolve_model_with_fallback", return_value=("llama3.2:3b", False)),
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patch("timmy.agent._check_model_available", return_value=True),
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patch("timmy.agent._warmup_model", return_value=True),
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):
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mock_settings.ollama_model = "llama3.2"
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mock_settings.ollama_url = custom_url
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mock_settings.ollama_num_ctx = 4096
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mock_settings.timmy_model_backend = "ollama"
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from timmy.agent import create_timmy
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create_timmy()
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kwargs = MockOllama.call_args.kwargs
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assert kwargs["host"] == custom_url
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# ── AirLLM path ──────────────────────────────────────────────────────────────
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def test_create_timmy_airllm_returns_airllm_agent():
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"""backend='airllm' must return a TimmyAirLLMAgent, not an Agno Agent."""
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with patch("timmy.backends.is_apple_silicon", return_value=False):
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from timmy.agent import create_timmy
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from timmy.backends import TimmyAirLLMAgent
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result = create_timmy(backend="airllm", model_size="8b")
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assert isinstance(result, TimmyAirLLMAgent)
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def test_create_timmy_airllm_does_not_call_agno_agent():
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"""When using the airllm backend, Agno Agent should never be instantiated."""
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with (
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patch("timmy.agent.Agent") as MockAgent,
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patch("timmy.backends.is_apple_silicon", return_value=False),
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):
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from timmy.agent import create_timmy
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create_timmy(backend="airllm", model_size="8b")
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MockAgent.assert_not_called()
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def test_create_timmy_explicit_ollama_ignores_autodetect():
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"""backend='ollama' must always use Ollama, even on Apple Silicon."""
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with (
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patch("timmy.agent.Agent") as MockAgent,
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patch("timmy.agent.Ollama"),
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patch("timmy.agent.SqliteDb"),
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patch("timmy.agent._resolve_model_with_fallback", return_value=("llama3.2:3b", False)),
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patch("timmy.agent._check_model_available", return_value=True),
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patch("timmy.agent._warmup_model", return_value=True),
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):
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from timmy.agent import create_timmy
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create_timmy(backend="ollama")
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MockAgent.assert_called_once()
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# ── _resolve_backend ─────────────────────────────────────────────────────────
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def test_resolve_backend_explicit_takes_priority():
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from timmy.agent import _resolve_backend
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assert _resolve_backend("airllm") == "airllm"
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assert _resolve_backend("ollama") == "ollama"
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def test_resolve_backend_defaults_to_ollama_without_config():
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"""Default config (timmy_model_backend='ollama') → 'ollama'."""
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from timmy.agent import _resolve_backend
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assert _resolve_backend(None) == "ollama"
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def test_resolve_backend_auto_uses_airllm_on_apple_silicon():
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"""'auto' on Apple Silicon with airllm stubbed → 'airllm'."""
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with (
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patch("timmy.backends.is_apple_silicon", return_value=True),
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patch("timmy.agent.settings") as mock_settings,
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):
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mock_settings.timmy_model_backend = "auto"
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mock_settings.ollama_model = "llama3.2"
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from timmy.agent import _resolve_backend
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assert _resolve_backend(None) == "airllm"
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def test_resolve_backend_auto_falls_back_on_non_apple():
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"""'auto' on non-Apple Silicon → 'ollama'."""
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with (
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patch("timmy.backends.is_apple_silicon", return_value=False),
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patch("timmy.agent.settings") as mock_settings,
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):
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mock_settings.timmy_model_backend = "auto"
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mock_settings.ollama_model = "llama3.2"
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from timmy.agent import _resolve_backend
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assert _resolve_backend(None) == "ollama"
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# ── _model_supports_tools ────────────────────────────────────────────────────
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def test_model_supports_tools_llama32_returns_false():
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"""llama3.2 (3B) is too small for reliable tool calling."""
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from timmy.agent import _model_supports_tools
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assert _model_supports_tools("llama3.2") is False
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assert _model_supports_tools("llama3.2:latest") is False
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def test_model_supports_tools_llama31_returns_true():
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"""llama3.1 (8B+) can handle tool calling."""
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from timmy.agent import _model_supports_tools
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assert _model_supports_tools("llama3.1") is True
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assert _model_supports_tools("llama3.3") is True
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def test_model_supports_tools_other_small_models():
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"""Other known small models should not get tools."""
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from timmy.agent import _model_supports_tools
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assert _model_supports_tools("phi-3") is False
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assert _model_supports_tools("tinyllama") is False
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def test_model_supports_tools_unknown_model_gets_tools():
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"""Unknown models default to tool-capable (optimistic)."""
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from timmy.agent import _model_supports_tools
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assert _model_supports_tools("mistral") is True
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assert _model_supports_tools("qwen2.5:72b") is True
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# ── Tool gating in create_timmy ──────────────────────────────────────────────
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def test_create_timmy_no_tools_for_small_model():
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"""Small models (llama3.2) should get no tools."""
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mock_toolkit = MagicMock()
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with (
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patch("timmy.agent.Agent") as MockAgent,
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patch("timmy.agent.Ollama"),
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patch("timmy.agent.SqliteDb"),
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patch("timmy.agent.create_full_toolkit", return_value=mock_toolkit),
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patch("timmy.agent._resolve_model_with_fallback", return_value=("llama3.2:3b", False)),
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patch("timmy.agent._check_model_available", return_value=True),
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patch("timmy.agent._warmup_model", return_value=True),
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):
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from timmy.agent import create_timmy
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create_timmy()
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kwargs = MockAgent.call_args.kwargs
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# llama3.2 is in _SMALL_MODEL_PATTERNS → tools should be None
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assert kwargs["tools"] is None
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def test_create_timmy_includes_tools_for_large_model():
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"""A tool-capable model (e.g. llama3.1) should attempt to include tools."""
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mock_toolkit = MagicMock()
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with (
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patch("timmy.agent.Agent") as MockAgent,
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patch("timmy.agent.Ollama"),
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patch("timmy.agent.SqliteDb"),
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patch("timmy.agent.create_full_toolkit", return_value=mock_toolkit),
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patch("timmy.agent.settings") as mock_settings,
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patch("timmy.agent._resolve_model_with_fallback", return_value=("llama3.1", False)),
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patch("timmy.agent._check_model_available", return_value=True),
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patch("timmy.agent._warmup_model", return_value=True),
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):
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mock_settings.ollama_model = "llama3.1"
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mock_settings.ollama_url = "http://localhost:11434"
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mock_settings.ollama_num_ctx = 4096
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mock_settings.timmy_model_backend = "ollama"
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mock_settings.telemetry_enabled = False
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from timmy.agent import create_timmy
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create_timmy()
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kwargs = MockAgent.call_args.kwargs
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assert mock_toolkit in kwargs["tools"]
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def test_create_timmy_no_unsupported_agent_kwargs():
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"""Regression guard: show_tool_calls and tool_call_limit are not valid agno 2.x params.
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These were removed in f95c960 (Feb 26) and must not be reintroduced.
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"""
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with (
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patch("timmy.agent.Agent") as MockAgent,
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patch("timmy.agent.Ollama"),
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patch("timmy.agent.SqliteDb"),
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patch("timmy.agent._resolve_model_with_fallback", return_value=("llama3.2:3b", False)),
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patch("timmy.agent._check_model_available", return_value=True),
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patch("timmy.agent._warmup_model", return_value=True),
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):
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from timmy.agent import create_timmy
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create_timmy()
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kwargs = MockAgent.call_args.kwargs
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assert "show_tool_calls" not in kwargs, "show_tool_calls is not a valid Agent param"
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def test_create_timmy_no_extra_kwargs():
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"""All kwargs passed to Agent() must be from the known-valid set.
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agno is mocked globally in conftest, so we can't inspect the real class here.
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Instead, maintain an explicit allowlist of params validated against agno 2.5.5.
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If a new param is needed, verify it exists in agno first, then add it here.
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"""
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VALID_AGENT_KWARGS = {
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"name",
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"model",
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"db",
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"description",
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"add_history_to_context",
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"num_history_runs",
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"markdown",
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"tools",
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"tool_call_limit",
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"telemetry",
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}
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with (
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patch("timmy.agent.Agent") as MockAgent,
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patch("timmy.agent.Ollama"),
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patch("timmy.agent.SqliteDb"),
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patch("timmy.agent._resolve_model_with_fallback", return_value=("llama3.2:3b", False)),
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patch("timmy.agent._check_model_available", return_value=True),
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patch("timmy.agent._warmup_model", return_value=True),
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):
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from timmy.agent import create_timmy
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create_timmy()
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kwargs = MockAgent.call_args.kwargs
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invalid = set(kwargs.keys()) - VALID_AGENT_KWARGS
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assert not invalid, (
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f"Unknown Agent kwargs {invalid} — verify they exist in agno "
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f"before adding to VALID_AGENT_KWARGS"
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)
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# ── skip_mcp flag (#72) ─────────────────────────────────────────────────────
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def test_create_timmy_skip_mcp_omits_mcp_tools():
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"""create_timmy(skip_mcp=True) must not add MCP tool servers."""
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with (
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patch("timmy.agent.Agent"),
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patch("timmy.agent.Ollama"),
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patch("timmy.agent.SqliteDb"),
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patch("timmy.mcp_tools.create_gitea_mcp_tools") as mock_gitea_mcp,
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patch("timmy.mcp_tools.create_filesystem_mcp_tools") as mock_fs_mcp,
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patch("timmy.agent._resolve_model_with_fallback", return_value=("llama3.2:3b", False)),
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patch("timmy.agent._check_model_available", return_value=True),
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patch("timmy.agent._warmup_model", return_value=True),
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):
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from timmy.agent import create_timmy
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create_timmy(skip_mcp=True)
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# MCP factory functions should never be called
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mock_gitea_mcp.assert_not_called()
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mock_fs_mcp.assert_not_called()
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def test_create_timmy_default_includes_mcp_tools():
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"""create_timmy() without skip_mcp should attempt MCP tool creation."""
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with (
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patch("timmy.agent.Agent"),
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patch("timmy.agent.Ollama"),
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patch("timmy.agent.SqliteDb"),
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patch("timmy.mcp_tools.create_gitea_mcp_tools", return_value=None) as mock_gitea_mcp,
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patch("timmy.mcp_tools.create_filesystem_mcp_tools", return_value=None) as mock_fs_mcp,
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patch("timmy.agent._resolve_model_with_fallback", return_value=("llama3.1", False)),
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patch("timmy.agent._check_model_available", return_value=True),
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patch("timmy.agent._warmup_model", return_value=True),
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):
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from timmy.agent import create_timmy
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create_timmy(skip_mcp=False)
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# MCP factories should be called when skip_mcp is False
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mock_gitea_mcp.assert_called_once()
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mock_fs_mcp.assert_called_once()
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# ── Configurable fallback chain tests ────────────────────────────────────────
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def test_settings_has_fallback_model_lists():
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"""settings.fallback_models and vision_fallback_models exist and are lists."""
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from config import settings
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assert isinstance(settings.fallback_models, list)
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assert isinstance(settings.vision_fallback_models, list)
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assert len(settings.fallback_models) > 0
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assert len(settings.vision_fallback_models) > 0
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def test_resolve_model_uses_configurable_text_fallback():
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"""_resolve_model_with_fallback walks settings.fallback_models for text models."""
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with patch("timmy.agent.settings") as mock_settings:
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mock_settings.ollama_model = "nonexistent-model"
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mock_settings.fallback_models = ["custom-a", "custom-b"]
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mock_settings.vision_fallback_models = ["vision-a"]
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# First model in chain is available
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with patch("timmy.agent._check_model_available", side_effect=lambda m: m == "custom-a"):
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from timmy.agent import _resolve_model_with_fallback
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model, is_fallback = _resolve_model_with_fallback(
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requested_model="nonexistent-model",
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require_vision=False,
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auto_pull=False,
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)
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assert model == "custom-a"
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assert is_fallback is True
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def test_resolve_model_uses_configurable_vision_fallback():
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"""_resolve_model_with_fallback walks settings.vision_fallback_models for vision."""
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with patch("timmy.agent.settings") as mock_settings:
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mock_settings.ollama_model = "nonexistent-model"
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mock_settings.fallback_models = ["text-a"]
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mock_settings.vision_fallback_models = ["vision-x", "vision-y"]
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with patch("timmy.agent._check_model_available", side_effect=lambda m: m == "vision-y"):
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from timmy.agent import _resolve_model_with_fallback
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model, is_fallback = _resolve_model_with_fallback(
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requested_model="nonexistent-model",
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require_vision=True,
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auto_pull=False,
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)
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assert model == "vision-y"
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assert is_fallback is True
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def test_get_effective_ollama_model_walks_fallback_chain():
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"""get_effective_ollama_model uses settings.fallback_models."""
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with (
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patch("config.settings") as mock_settings,
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patch("config.check_ollama_model_available", side_effect=lambda m: m == "fb-2") as _,
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):
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mock_settings.ollama_model = "gone-model"
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mock_settings.ollama_url = "http://localhost:11434"
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mock_settings.fallback_models = ["fb-1", "fb-2", "fb-3"]
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from config import get_effective_ollama_model
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result = get_effective_ollama_model()
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assert result == "fb-2"
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def test_no_hardcoded_fallback_constants_in_agent():
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"""agent.py must not define module-level DEFAULT_MODEL_FALLBACKS."""
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import timmy.agent as agent_mod
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assert not hasattr(agent_mod, "DEFAULT_MODEL_FALLBACKS"), (
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"Hardcoded DEFAULT_MODEL_FALLBACKS still exists — use settings.fallback_models"
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)
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assert not hasattr(agent_mod, "VISION_MODEL_FALLBACKS"), (
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"Hardcoded VISION_MODEL_FALLBACKS still exists — use settings.vision_fallback_models"
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)
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