feat: add debug logging for model converse requests

src/strands/types/models/model.py

@@ -130,6 +130,7 @@ def converse(
         """
         logger.debug("formatting request")
         request = self.format_request(messages, tool_specs, system_prompt)
+        logger.debug("formatted request=<%s>", request)
 
         logger.debug("invoking model")
         response = self.stream(request)

tests/strands/types/models/test_model.py

@@ -96,3 +96,32 @@ def test_structured_output(model):
     response = model.structured_output(Person)
 
     assert response == Person(name="test", age=20)
+
+
+def test_converse_logging(model, messages, tool_specs, system_prompt, caplog):
+    """Test that converse method logs the formatted request at debug level."""
+    import logging
+
+    # Set the logger to debug level to capture debug messages
+    caplog.set_level(logging.DEBUG, logger="strands.types.models.model")
+
+    # Execute the converse method
+    response = model.converse(messages, tool_specs, system_prompt)
+    list(response)  # Consume the generator to trigger all logging
+
+    # Check that the expected log messages are present
+    assert "formatting request" in caplog.text
+    assert "formatted request=" in caplog.text
+    assert "invoking model" in caplog.text
+    assert "got response from model" in caplog.text
+    assert "finished streaming response from model" in caplog.text
+
+    # Check that the formatted request is logged with the expected content
+    expected_request_str = str(
+        {
+            "messages": messages,
+            "tool_specs": tool_specs,
+            "system_prompt": system_prompt,
+        }
+    )
+    assert expected_request_str in caplog.text