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83 lines
2.9 KiB
Python
83 lines
2.9 KiB
Python
# coding=utf-8
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# Copyright 2024 HuggingFace Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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from transformers.agents.agent_types import AgentImage
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from transformers.agents.agents import AgentError, ReactCodeAgent, ReactJsonAgent
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from transformers.agents.monitoring import stream_to_gradio
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class MonitoringTester(unittest.TestCase):
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def test_streaming_agent_text_output(self):
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def dummy_llm_engine(prompt, **kwargs):
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return """
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Code:
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````
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final_answer('This is the final answer.')
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```"""
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agent = ReactCodeAgent(
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tools=[],
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llm_engine=dummy_llm_engine,
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max_iterations=1,
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)
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# Use stream_to_gradio to capture the output
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outputs = list(stream_to_gradio(agent, task="Test task", test_mode=True))
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self.assertEqual(len(outputs), 3)
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final_message = outputs[-1]
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self.assertEqual(final_message.role, "assistant")
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self.assertIn("This is the final answer.", final_message.content)
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def test_streaming_agent_image_output(self):
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def dummy_llm_engine(prompt, **kwargs):
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return 'Action:{"action": "final_answer", "action_input": {"answer": "image"}}'
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agent = ReactJsonAgent(
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tools=[],
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llm_engine=dummy_llm_engine,
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max_iterations=1,
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)
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# Use stream_to_gradio to capture the output
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outputs = list(stream_to_gradio(agent, task="Test task", image=AgentImage(value="path.png"), test_mode=True))
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self.assertEqual(len(outputs), 2)
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final_message = outputs[-1]
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self.assertEqual(final_message.role, "assistant")
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self.assertIsInstance(final_message.content, dict)
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self.assertEqual(final_message.content["path"], "path.png")
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self.assertEqual(final_message.content["mime_type"], "image/png")
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def test_streaming_with_agent_error(self):
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def dummy_llm_engine(prompt, **kwargs):
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raise AgentError("Simulated agent error")
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agent = ReactCodeAgent(
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tools=[],
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llm_engine=dummy_llm_engine,
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max_iterations=1,
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)
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# Use stream_to_gradio to capture the output
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outputs = list(stream_to_gradio(agent, task="Test task", test_mode=True))
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self.assertEqual(len(outputs), 3)
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final_message = outputs[-1]
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self.assertEqual(final_message.role, "assistant")
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self.assertIn("Simulated agent error", final_message.content)
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