🚀 Major Enhancement: Workflow-Based Tool Architecture v5.5.0 (#95)
* WIP: new workflow architecture * WIP: further improvements and cleanup * WIP: cleanup and docks, replace old tool with new * WIP: cleanup and docks, replace old tool with new * WIP: new planner implementation using workflow * WIP: precommit tool working as a workflow instead of a basic tool Support for passing False to use_assistant_model to skip external models completely and use Claude only * WIP: precommit workflow version swapped with old * WIP: codereview * WIP: replaced codereview * WIP: replaced codereview * WIP: replaced refactor * WIP: workflow for thinkdeep * WIP: ensure files get embedded correctly * WIP: thinkdeep replaced with workflow version * WIP: improved messaging when an external model's response is received * WIP: analyze tool swapped * WIP: updated tests * Extract only the content when building history * Use "relevant_files" for workflow tools only * WIP: updated tests * Extract only the content when building history * Use "relevant_files" for workflow tools only * WIP: fixed get_completion_next_steps_message missing param * Fixed tests Request for files consistently * Fixed tests Request for files consistently * Fixed tests * New testgen workflow tool Updated docs * Swap testgen workflow * Fix CI test failures by excluding API-dependent tests - Update GitHub Actions workflow to exclude simulation tests that require API keys - Fix collaboration tests to properly mock workflow tool expert analysis calls - Update test assertions to handle new workflow tool response format - Ensure unit tests run without external API dependencies in CI 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * WIP - Update tests to match new tools * WIP - Update tests to match new tools --------- Co-authored-by: Claude <noreply@anthropic.com>
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@@ -3,90 +3,91 @@ Tests for the Consensus tool
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"""
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import json
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import unittest
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from unittest.mock import Mock, patch
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from unittest.mock import patch
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import pytest
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from tools.consensus import ConsensusTool, ModelConfig
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class TestConsensusTool(unittest.TestCase):
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class TestConsensusTool:
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"""Test cases for the Consensus tool"""
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def setUp(self):
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def setup_method(self):
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"""Set up test fixtures"""
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self.tool = ConsensusTool()
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def test_tool_metadata(self):
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"""Test tool metadata is correct"""
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self.assertEqual(self.tool.get_name(), "consensus")
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self.assertTrue("MULTI-MODEL CONSENSUS" in self.tool.get_description())
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self.assertEqual(self.tool.get_default_temperature(), 0.2)
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assert self.tool.get_name() == "consensus"
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assert "MULTI-MODEL CONSENSUS" in self.tool.get_description()
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assert self.tool.get_default_temperature() == 0.2
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def test_input_schema(self):
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"""Test input schema is properly defined"""
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schema = self.tool.get_input_schema()
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self.assertEqual(schema["type"], "object")
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self.assertIn("prompt", schema["properties"])
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self.assertIn("models", schema["properties"])
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self.assertEqual(schema["required"], ["prompt", "models"])
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assert schema["type"] == "object"
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assert "prompt" in schema["properties"]
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assert "models" in schema["properties"]
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assert schema["required"] == ["prompt", "models"]
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# Check that schema includes model configuration information
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models_desc = schema["properties"]["models"]["description"]
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# Check description includes object format
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self.assertIn("model configurations", models_desc)
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self.assertIn("specific stance and custom instructions", models_desc)
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assert "model configurations" in models_desc
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assert "specific stance and custom instructions" in models_desc
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# Check example shows new format
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self.assertIn("'model': 'o3'", models_desc)
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self.assertIn("'stance': 'for'", models_desc)
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self.assertIn("'stance_prompt'", models_desc)
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assert "'model': 'o3'" in models_desc
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assert "'stance': 'for'" in models_desc
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assert "'stance_prompt'" in models_desc
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def test_normalize_stance_basic(self):
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"""Test basic stance normalization"""
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# Test basic stances
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self.assertEqual(self.tool._normalize_stance("for"), "for")
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self.assertEqual(self.tool._normalize_stance("against"), "against")
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self.assertEqual(self.tool._normalize_stance("neutral"), "neutral")
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self.assertEqual(self.tool._normalize_stance(None), "neutral")
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assert self.tool._normalize_stance("for") == "for"
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assert self.tool._normalize_stance("against") == "against"
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assert self.tool._normalize_stance("neutral") == "neutral"
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assert self.tool._normalize_stance(None) == "neutral"
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def test_normalize_stance_synonyms(self):
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"""Test stance synonym normalization"""
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# Supportive synonyms
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self.assertEqual(self.tool._normalize_stance("support"), "for")
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self.assertEqual(self.tool._normalize_stance("favor"), "for")
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assert self.tool._normalize_stance("support") == "for"
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assert self.tool._normalize_stance("favor") == "for"
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# Critical synonyms
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self.assertEqual(self.tool._normalize_stance("critical"), "against")
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self.assertEqual(self.tool._normalize_stance("oppose"), "against")
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assert self.tool._normalize_stance("critical") == "against"
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assert self.tool._normalize_stance("oppose") == "against"
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# Case insensitive
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self.assertEqual(self.tool._normalize_stance("FOR"), "for")
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self.assertEqual(self.tool._normalize_stance("Support"), "for")
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self.assertEqual(self.tool._normalize_stance("AGAINST"), "against")
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self.assertEqual(self.tool._normalize_stance("Critical"), "against")
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assert self.tool._normalize_stance("FOR") == "for"
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assert self.tool._normalize_stance("Support") == "for"
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assert self.tool._normalize_stance("AGAINST") == "against"
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assert self.tool._normalize_stance("Critical") == "against"
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# Test unknown stances default to neutral
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self.assertEqual(self.tool._normalize_stance("supportive"), "neutral")
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self.assertEqual(self.tool._normalize_stance("maybe"), "neutral")
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self.assertEqual(self.tool._normalize_stance("contra"), "neutral")
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self.assertEqual(self.tool._normalize_stance("random"), "neutral")
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assert self.tool._normalize_stance("supportive") == "neutral"
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assert self.tool._normalize_stance("maybe") == "neutral"
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assert self.tool._normalize_stance("contra") == "neutral"
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assert self.tool._normalize_stance("random") == "neutral"
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def test_model_config_validation(self):
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"""Test ModelConfig validation"""
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# Valid config
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config = ModelConfig(model="o3", stance="for", stance_prompt="Custom prompt")
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self.assertEqual(config.model, "o3")
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self.assertEqual(config.stance, "for")
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self.assertEqual(config.stance_prompt, "Custom prompt")
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assert config.model == "o3"
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assert config.stance == "for"
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assert config.stance_prompt == "Custom prompt"
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# Default stance
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config = ModelConfig(model="flash")
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self.assertEqual(config.stance, "neutral")
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self.assertIsNone(config.stance_prompt)
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assert config.stance == "neutral"
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assert config.stance_prompt is None
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# Test that empty model is handled by validation elsewhere
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# Pydantic allows empty strings by default, but the tool validates it
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config = ModelConfig(model="")
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self.assertEqual(config.model, "")
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assert config.model == ""
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def test_validate_model_combinations(self):
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"""Test model combination validation with ModelConfig objects"""
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@@ -98,8 +99,8 @@ class TestConsensusTool(unittest.TestCase):
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ModelConfig(model="o3", stance="against"),
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]
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valid, skipped = self.tool._validate_model_combinations(configs)
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self.assertEqual(len(valid), 4)
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self.assertEqual(len(skipped), 0)
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assert len(valid) == 4
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assert len(skipped) == 0
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# Test max instances per combination (2)
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configs = [
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@@ -109,9 +110,9 @@ class TestConsensusTool(unittest.TestCase):
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ModelConfig(model="pro", stance="against"),
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]
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valid, skipped = self.tool._validate_model_combinations(configs)
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self.assertEqual(len(valid), 3)
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self.assertEqual(len(skipped), 1)
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self.assertIn("max 2 instances", skipped[0])
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assert len(valid) == 3
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assert len(skipped) == 1
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assert "max 2 instances" in skipped[0]
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# Test unknown stances get normalized to neutral
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configs = [
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@@ -120,31 +121,31 @@ class TestConsensusTool(unittest.TestCase):
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ModelConfig(model="grok"), # Already neutral
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]
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valid, skipped = self.tool._validate_model_combinations(configs)
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self.assertEqual(len(valid), 3) # All are valid (normalized to neutral)
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self.assertEqual(len(skipped), 0) # None skipped
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assert len(valid) == 3 # All are valid (normalized to neutral)
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assert len(skipped) == 0 # None skipped
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# Verify normalization worked
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self.assertEqual(valid[0].stance, "neutral") # maybe -> neutral
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self.assertEqual(valid[1].stance, "neutral") # kinda -> neutral
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self.assertEqual(valid[2].stance, "neutral") # already neutral
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assert valid[0].stance == "neutral" # maybe -> neutral
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assert valid[1].stance == "neutral" # kinda -> neutral
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assert valid[2].stance == "neutral" # already neutral
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def test_get_stance_enhanced_prompt(self):
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"""Test stance-enhanced prompt generation"""
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# Test that stance prompts are injected correctly
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for_prompt = self.tool._get_stance_enhanced_prompt("for")
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self.assertIn("SUPPORTIVE PERSPECTIVE", for_prompt)
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assert "SUPPORTIVE PERSPECTIVE" in for_prompt
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against_prompt = self.tool._get_stance_enhanced_prompt("against")
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self.assertIn("CRITICAL PERSPECTIVE", against_prompt)
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assert "CRITICAL PERSPECTIVE" in against_prompt
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neutral_prompt = self.tool._get_stance_enhanced_prompt("neutral")
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self.assertIn("BALANCED PERSPECTIVE", neutral_prompt)
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assert "BALANCED PERSPECTIVE" in neutral_prompt
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# Test custom stance prompt
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custom_prompt = "Focus on user experience and business value"
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enhanced = self.tool._get_stance_enhanced_prompt("for", custom_prompt)
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self.assertIn(custom_prompt, enhanced)
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self.assertNotIn("SUPPORTIVE PERSPECTIVE", enhanced) # Should use custom instead
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assert custom_prompt in enhanced
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assert "SUPPORTIVE PERSPECTIVE" not in enhanced # Should use custom instead
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def test_format_consensus_output(self):
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"""Test consensus output formatting"""
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@@ -158,21 +159,41 @@ class TestConsensusTool(unittest.TestCase):
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output = self.tool._format_consensus_output(responses, skipped)
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output_data = json.loads(output)
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self.assertEqual(output_data["status"], "consensus_success")
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self.assertEqual(output_data["models_used"], ["o3:for", "pro:against"])
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self.assertEqual(output_data["models_skipped"], skipped)
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self.assertEqual(output_data["models_errored"], ["grok"])
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self.assertIn("next_steps", output_data)
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assert output_data["status"] == "consensus_success"
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assert output_data["models_used"] == ["o3:for", "pro:against"]
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assert output_data["models_skipped"] == skipped
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assert output_data["models_errored"] == ["grok"]
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assert "next_steps" in output_data
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@patch("tools.consensus.ConsensusTool.get_model_provider")
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async def test_execute_with_model_configs(self, mock_get_provider):
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@pytest.mark.asyncio
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@patch("tools.consensus.ConsensusTool._get_consensus_responses")
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async def test_execute_with_model_configs(self, mock_get_responses):
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"""Test execute with ModelConfig objects"""
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# Mock provider
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mock_provider = Mock()
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mock_response = Mock()
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mock_response.content = "Test response"
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mock_provider.generate_content.return_value = mock_response
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mock_get_provider.return_value = mock_provider
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# Mock responses directly at the consensus level
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mock_responses = [
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{
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"model": "o3",
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"stance": "for", # support normalized to for
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"status": "success",
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"verdict": "This is good for user benefits",
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"metadata": {"provider": "openai", "usage": None, "custom_stance_prompt": True},
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},
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{
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"model": "pro",
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"stance": "against", # critical normalized to against
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"status": "success",
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"verdict": "There are technical risks to consider",
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"metadata": {"provider": "gemini", "usage": None, "custom_stance_prompt": True},
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},
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{
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"model": "grok",
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"stance": "neutral",
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"status": "success",
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"verdict": "Balanced perspective on the proposal",
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"metadata": {"provider": "xai", "usage": None, "custom_stance_prompt": False},
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},
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]
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mock_get_responses.return_value = mock_responses
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# Test with ModelConfig objects including custom stance prompts
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models = [
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@@ -183,21 +204,20 @@ class TestConsensusTool(unittest.TestCase):
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result = await self.tool.execute({"prompt": "Test prompt", "models": models})
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# Verify all models were called
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self.assertEqual(mock_get_provider.call_count, 3)
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# Check that response contains expected format
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# Verify the response structure
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response_text = result[0].text
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response_data = json.loads(response_text)
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self.assertEqual(response_data["status"], "consensus_success")
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self.assertEqual(len(response_data["models_used"]), 3)
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assert response_data["status"] == "consensus_success"
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assert len(response_data["models_used"]) == 3
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# Verify stance normalization worked
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# Verify stance normalization worked in the models_used field
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models_used = response_data["models_used"]
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self.assertIn("o3:for", models_used) # support -> for
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self.assertIn("pro:against", models_used) # critical -> against
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self.assertIn("grok", models_used) # neutral (no suffix)
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assert "o3:for" in models_used # support -> for
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assert "pro:against" in models_used # critical -> against
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assert "grok" in models_used # neutral (no stance suffix)
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if __name__ == "__main__":
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import unittest
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unittest.main()
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