mirror of
https://github.com/aljazceru/Auto-GPT.git
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f2595af362
- Update `openai` dependency from ^v0.27.10 to ^v1.7.2 - Update poetry.lock - Update code for changed endpoints and new output types of OpenAI library - Replace uses of `AssistantChatMessageDict` by `AssistantChatMessage` - Update `PromptStrategy`, `BaseAgent`, and all of their subclasses accordingly - Update `OpenAIProvider`, `OpenAICredentials`, azure.yaml.template, .env.template and test_config.py to work with new separate `AzureOpenAI` client - Remove `_OpenAIRetryHandler` and implement retry mechanism with `tenacity` - Rewrite pytest fixture `cached_openai_client` (renamed from `patched_api_requestor`) for OpenAI v1 library
78 lines
2.4 KiB
Python
78 lines
2.4 KiB
Python
import pytest
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from pytest_mock import MockerFixture
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from autogpt.core.resource.model_providers import (
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OPEN_AI_CHAT_MODELS,
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OPEN_AI_EMBEDDING_MODELS,
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)
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from autogpt.llm.api_manager import ApiManager
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api_manager = ApiManager()
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@pytest.fixture(autouse=True)
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def reset_api_manager():
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api_manager.reset()
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yield
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@pytest.fixture(autouse=True)
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def mock_costs(mocker: MockerFixture):
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mocker.patch.multiple(
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OPEN_AI_CHAT_MODELS["gpt-3.5-turbo"],
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prompt_token_cost=0.0013,
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completion_token_cost=0.0025,
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)
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mocker.patch.multiple(
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OPEN_AI_EMBEDDING_MODELS["text-embedding-ada-002"],
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prompt_token_cost=0.0004,
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)
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yield
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class TestApiManager:
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def test_getter_methods(self):
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"""Test the getter methods for total tokens, cost, and budget."""
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api_manager.update_cost(600, 1200, "gpt-3.5-turbo")
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api_manager.set_total_budget(10.0)
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assert api_manager.get_total_prompt_tokens() == 600
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assert api_manager.get_total_completion_tokens() == 1200
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assert api_manager.get_total_cost() == (600 * 0.0013 + 1200 * 0.0025) / 1000
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assert api_manager.get_total_budget() == 10.0
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@staticmethod
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def test_set_total_budget():
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"""Test if setting the total budget works correctly."""
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total_budget = 10.0
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api_manager.set_total_budget(total_budget)
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assert api_manager.get_total_budget() == total_budget
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@staticmethod
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def test_update_cost_completion_model():
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"""Test if updating the cost works correctly."""
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prompt_tokens = 50
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completion_tokens = 100
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model = "gpt-3.5-turbo"
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api_manager.update_cost(prompt_tokens, completion_tokens, model)
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assert api_manager.get_total_prompt_tokens() == prompt_tokens
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assert api_manager.get_total_completion_tokens() == completion_tokens
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assert (
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api_manager.get_total_cost()
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== (prompt_tokens * 0.0013 + completion_tokens * 0.0025) / 1000
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)
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@staticmethod
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def test_update_cost_embedding_model():
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"""Test if updating the cost works correctly."""
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prompt_tokens = 1337
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model = "text-embedding-ada-002"
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api_manager.update_cost(prompt_tokens, 0, model)
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assert api_manager.get_total_prompt_tokens() == prompt_tokens
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assert api_manager.get_total_completion_tokens() == 0
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assert api_manager.get_total_cost() == (prompt_tokens * 0.0004) / 1000
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