feat(bias): implement ToolBiasEngine and integrate into ai_client orchestration loop
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47
tests/test_bias_integration.py
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47
tests/test_bias_integration.py
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import pytest
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from src import ai_client
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from src.models import ToolPreset, Tool, BiasProfile
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from unittest.mock import MagicMock, patch
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def test_system_prompt_biasing():
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# Setup
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preset = ToolPreset(name="TestPreset", categories={
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"General": [Tool(name="read_file", weight=5)]
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})
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bias = BiasProfile(name="TestBias", category_multipliers={"General": 1.5})
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with patch("src.ai_client._active_tool_preset", preset):
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with patch("src.ai_client._active_bias_profile", bias):
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prompt = ai_client._get_combined_system_prompt()
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assert "Tooling Strategy" in prompt
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assert "read_file" in prompt
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assert "General" in prompt
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def test_tool_declaration_biasing_anthropic():
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preset = ToolPreset(name="TestPreset", categories={
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"General": [Tool(name="read_file", weight=5)]
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})
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with patch("src.ai_client._active_tool_preset", preset):
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with patch("src.ai_client._agent_tools", {"read_file": True}):
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# _get_anthropic_tools calls _build_anthropic_tools which should now use the bias engine
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with patch("src.ai_client._CACHED_ANTHROPIC_TOOLS", None):
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tools = ai_client._get_anthropic_tools()
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read_file_tool = next(t for t in tools if t["name"] == "read_file")
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assert "[HIGH PRIORITY]" in read_file_tool["description"]
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@pytest.mark.asyncio
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async def test_set_tool_preset_with_objects():
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# This tests that set_tool_preset correctly handles the new Tool objects
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preset = ToolPreset(name="ObjTest", categories={
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"General": [Tool(name="read_file", approval="auto")]
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})
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with patch("src.tool_presets.ToolPresetManager.load_all", return_value={"ObjTest": preset}):
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ai_client.set_tool_preset("ObjTest")
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assert ai_client._agent_tools["read_file"] is True
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assert ai_client._tool_approval_modes["read_file"] == "auto"
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assert ai_client._active_tool_preset == preset
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