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* feat: Implement model registry and capabilities for multi-provider support - Added ModelRegistry to manage available models and their capabilities. - Introduced ModelProvider enum for different LLM providers. - Created ModelCapabilities dataclass to define model features. - Implemented methods to load models based on API keys and settings. - Added utility functions for model management in model_utils.py. - Updated settings.py to include provider-specific API keys. - Refactored LLM classes (Anthropic, OpenAI, Google, etc.) to utilize new model registry. - Enhanced utility functions to handle token limits and model validation. - Improved code structure and logging for better maintainability. * feat: Add model selection feature with API integration and UI component * feat: Add model selection and default model functionality in agent management * test: Update assertions and formatting in stream processing tests * refactor(llm): Standardize model identifier to model_id * fix tests --------- Co-authored-by: Alex <a@tushynski.me>
57 lines
2.5 KiB
Python
57 lines
2.5 KiB
Python
import pytest
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from application.agents.agent_creator import AgentCreator
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from application.agents.classic_agent import ClassicAgent
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from application.agents.react_agent import ReActAgent
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@pytest.mark.unit
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class TestAgentCreator:
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def test_create_classic_agent(self, agent_base_params):
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agent = AgentCreator.create_agent("classic", **agent_base_params)
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assert isinstance(agent, ClassicAgent)
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assert agent.endpoint == agent_base_params["endpoint"]
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assert agent.llm_name == agent_base_params["llm_name"]
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assert agent.model_id == agent_base_params["model_id"]
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def test_create_react_agent(self, agent_base_params):
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agent = AgentCreator.create_agent("react", **agent_base_params)
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assert isinstance(agent, ReActAgent)
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assert agent.endpoint == agent_base_params["endpoint"]
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assert agent.llm_name == agent_base_params["llm_name"]
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def test_create_agent_case_insensitive(self, agent_base_params):
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agent_upper = AgentCreator.create_agent("CLASSIC", **agent_base_params)
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agent_mixed = AgentCreator.create_agent("ClAsSiC", **agent_base_params)
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assert isinstance(agent_upper, ClassicAgent)
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assert isinstance(agent_mixed, ClassicAgent)
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def test_create_agent_invalid_type(self, agent_base_params):
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with pytest.raises(ValueError, match="No agent class found for type"):
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AgentCreator.create_agent("invalid_agent_type", **agent_base_params)
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def test_agent_registry_contains_expected_agents(self):
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assert "classic" in AgentCreator.agents
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assert "react" in AgentCreator.agents
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assert AgentCreator.agents["classic"] == ClassicAgent
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assert AgentCreator.agents["react"] == ReActAgent
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def test_create_agent_with_optional_params(self, agent_base_params):
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agent_base_params["user_api_key"] = "user_key_123"
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agent_base_params["chat_history"] = [{"prompt": "test", "response": "test"}]
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agent_base_params["json_schema"] = {"type": "object"}
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agent = AgentCreator.create_agent("classic", **agent_base_params)
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assert agent.user_api_key == "user_key_123"
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assert len(agent.chat_history) == 1
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assert agent.json_schema == {"type": "object"}
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def test_create_agent_with_attachments(self, agent_base_params):
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attachments = [{"name": "file.txt", "content": "test"}]
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agent_base_params["attachments"] = attachments
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agent = AgentCreator.create_agent("classic", **agent_base_params)
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assert agent.attachments == attachments
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