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d6ef9d1b5d
* Implemented running cost counter for chat completions This data is known to the AI as additional system context, and is printed out to the user * Added comments to api_manager.py * Added user-defined API budget. The user is now prompted if they want to give the AI a budget for API calls. If they enter nothing, there is no monetary limit, but if they define a budget then the AI will be told to shut down gracefully once it has come within 1 cent of its limit, and to shut down immediately once it has exceeded its limit. If a budget is defined, Auto-GPT is always aware of how much it was given and how much remains to be spent. * Chat completion calls are now done through api_manager. Total running cost is printed. * Implemented api budget setting and tracking User can now configure a maximum api budget, and the AI is aware of that and its remaining budget. The AI is instructed to shut down when exceeding the budget. * Update autogpt/api_manager.py Change "per token" to "per 1000 tokens" in a comment on the api cost Co-authored-by: Rob Luke <code@robertluke.net> * Fixed lint errors * Include embedding costs * Add embedding completion cost * lint * Added 'requires_api_key' decorator to test_commands.py, switched to a valid chat completions model * Refactor API manager, add debug mode, and add tests - Extract model costs to to avoid duplication - Add debug mode parameter to ApiManager class - Move debug mode configuration to - Log AI response and budget messages in debug mode - Implement 'test_api_manager.py' * Fixed test_setup failing. An extra user input is needed for api budget * Linting --------- Co-authored-by: Rob Luke <code@robertluke.net> Co-authored-by: Nicholas Tindle <nick@ntindle.com>
25 lines
922 B
Python
25 lines
922 B
Python
"""Unit tests for the commands module"""
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from unittest.mock import MagicMock, patch
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import pytest
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import autogpt.agent.agent_manager as agent_manager
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from autogpt.app import execute_command, list_agents, start_agent
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from tests.utils import requires_api_key
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@pytest.mark.integration_test
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@requires_api_key("OPENAI_API_KEY")
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def test_make_agent() -> None:
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"""Test the make_agent command"""
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with patch("openai.ChatCompletion.create") as mock:
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obj = MagicMock()
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obj.response.choices[0].messages[0].content = "Test message"
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mock.return_value = obj
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start_agent("Test Agent", "chat", "Hello, how are you?", "gpt-3.5-turbo")
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agents = list_agents()
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assert "List of agents:\n0: chat" == agents
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start_agent("Test Agent 2", "write", "Hello, how are you?", "gpt-3.5-turbo")
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agents = list_agents()
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assert "List of agents:\n0: chat\n1: write" == agents
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