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feat: Add streaming test for <think> tags in reasoning process
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@ -225,6 +225,98 @@ class TestReasoning(unittest.TestCase):
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self.assertLess(
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self.assertLess(
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reasoning_pos, main_pos, "Reasoning content should appear before main content"
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reasoning_pos, main_pos, "Reasoning content should appear before main content"
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)
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)
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def test_send_with_think_tags_stream(self):
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"""Test that streaming with <think> tags is properly processed and formatted."""
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# Setup IO with pretty output for streaming
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io = InputOutput(pretty=True)
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mock_mdstream = MagicMock()
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io.get_assistant_mdstream = MagicMock(return_value=mock_mdstream)
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# Setup model and coder
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model = Model("gpt-3.5-turbo")
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model.remove_reasoning = "think" # Set to remove <think> tags
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coder = Coder.create(model, None, io=io, stream=True)
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# Ensure the coder shows pretty output
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coder.show_pretty = MagicMock(return_value=True)
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# Mock streaming response chunks
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class MockStreamingChunk:
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def __init__(self, content=None, finish_reason=None):
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self.choices = [MagicMock()]
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self.choices[0].delta = MagicMock()
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self.choices[0].finish_reason = finish_reason
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# Set content if provided
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if content is not None:
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self.choices[0].delta.content = content
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else:
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# Need to handle attribute access that would raise AttributeError
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delattr(self.choices[0].delta, "content")
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# Create chunks to simulate streaming with think tags
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chunks = [
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# Start with open think tag
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MockStreamingChunk(content="<think>\n"),
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# Reasoning content inside think tags
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MockStreamingChunk(content="My step-by-step "),
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MockStreamingChunk(content="reasoning process\n"),
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# Close think tag
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MockStreamingChunk(content="</think>\n\n"),
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# Main content
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MockStreamingChunk(content="Final "),
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MockStreamingChunk(content="answer "),
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MockStreamingChunk(content="after reasoning"),
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# End the response
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MockStreamingChunk(finish_reason="stop"),
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]
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# Create a mock hash object
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mock_hash = MagicMock()
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mock_hash.hexdigest.return_value = "mock_hash_digest"
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# Mock the model's send_completion to return the hash and completion
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with patch.object(model, "send_completion", return_value=(mock_hash, chunks)):
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# Set mdstream directly on the coder object
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coder.mdstream = mock_mdstream
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# Call send with a simple message
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messages = [{"role": "user", "content": "test prompt"}]
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list(coder.send(messages))
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# Verify mdstream.update was called multiple times
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mock_mdstream.update.assert_called()
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coder.live_incremental_response(True)
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# Explicitly get all calls to update
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update_calls = mock_mdstream.update.call_args_list
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# There should be at least two calls - one for streaming and one final
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self.assertGreaterEqual(
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len(update_calls), 2, "Should have at least two calls to update (streaming + final)"
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)
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# Check that at least one call has final=True (should be the last one)
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has_final_true = any(call[1].get("final", False) for call in update_calls)
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self.assertTrue(has_final_true, "At least one update call should have final=True")
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# Get the text from the last update call
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final_text = update_calls[-1][0][0]
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# The final text should include both reasoning and main content with proper formatting
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self.assertIn("> Thinking ...", final_text)
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self.assertIn("My step-by-step reasoning process", final_text)
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self.assertIn("> ... done thinking", final_text)
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self.assertIn("Final answer after reasoning", final_text)
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# Ensure proper order: reasoning first, then main content
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reasoning_pos = final_text.find("My step-by-step reasoning process")
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main_pos = final_text.find("Final answer after reasoning")
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self.assertLess(
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reasoning_pos, main_pos, "Reasoning content should appear before main content"
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)
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if __name__ == "__main__":
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if __name__ == "__main__":
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