diff --git a/langdspy/__init__.py b/langdspy/__init__.py
index 506e8eb..8bff5f5 100644
--- a/langdspy/__init__.py
+++ b/langdspy/__init__.py
@@ -1,4 +1,4 @@
-from .field_descriptors import InputField, OutputField, InputFieldList, HintField, OutputFieldEnum, OutputFieldEnumList, OutputFieldBool, OutputFieldChooseOne
+from .field_descriptors import InputField, OutputField, InputFieldList, HintField, OutputFieldEnum, OutputFieldEnumList, OutputFieldBool, OutputFieldChooseOne, InputFieldDict, InputFieldDictList
 from .prompt_strategies import PromptSignature, PromptStrategy, DefaultPromptStrategy
 from .prompt_runners import PromptRunner, RunnableConfig, Prediction, MultiPromptRunner
 from .model import Model, TrainedModelState
diff --git a/langdspy/field_descriptors.py b/langdspy/field_descriptors.py
index 0f6ec53..2baec30 100644
--- a/langdspy/field_descriptors.py
+++ b/langdspy/field_descriptors.py
@@ -99,6 +99,52 @@ def format_prompt_value(self, value, llm_type: str):
                 res += f"{self._start_format_anthropic()}NO VALUES SPECIFIED</{self.name}>"
         return res
 
+class InputFieldDict(InputField):
+    def format_prompt_value(self, value, llm_type: str):
+        if llm_type == "openai":
+            return self._format_openai_prompt_value(value)
+        elif llm_type == "anthropic":
+            return self._format_anthropic_prompt_value(value)
+
+    def _format_openai_prompt_value(self, value):
+        formatted_dict = ""
+        for key, val in value.items():
+            formatted_dict += f"{self._start_format_openai()} {key}: {val}\n"
+        return formatted_dict.strip()
+
+    def _format_anthropic_prompt_value(self, value):
+        formatted_dict = f"<{self.name}>\n"
+        for key, val in value.items():
+            formatted_dict += f"  <{key}>{val}</{key}>\n"
+        formatted_dict += f"</{self.name}>"
+        return formatted_dict
+
+class InputFieldDictList(InputField):
+    def format_prompt_value(self, value, llm_type: str):
+        if llm_type == "openai":
+            return self._format_openai_prompt_value(value)
+        elif llm_type == "anthropic":
+            return self._format_anthropic_prompt_value(value)
+
+    def _format_openai_prompt_value(self, value):
+        formatted_list = ""
+        for i, item in enumerate(value):
+            formatted_list += f"{self._start_format_openai()} Item {i+1}:\n"
+            for key, val in item.items():
+                formatted_list += f"  {key}: {val}\n"
+            formatted_list += "\n"
+        return formatted_list.strip()
+
+    def _format_anthropic_prompt_value(self, value):
+        formatted_list = f"<{self.name}>\n"
+        for i, item in enumerate(value):
+            formatted_list += f"  <{self.name} {i + 1}>\n"
+            for key, val in item.items():
+                formatted_list += f"    <{key}>{val}</{key}>\n"
+            formatted_list += f"  </{self.name} {i + 1}>\n"
+        formatted_list += f"</{self.name}>"
+        return formatted_list
+
 class OutputField(FieldDescriptor):
     START_TOKEN_OPENAI = "🔑"
     START_TOKEN_ANTHROPIC = None
diff --git a/tests/test_field_descriptors.py b/tests/test_field_descriptors.py
index fcf5d5c..7918970 100644
--- a/tests/test_field_descriptors.py
+++ b/tests/test_field_descriptors.py
@@ -1,6 +1,6 @@
 import pytest
 from enum import Enum
-from langdspy.field_descriptors import InputField, InputFieldList, OutputField, OutputFieldEnum, OutputFieldEnumList, OutputFieldBool, OutputFieldChooseOne
+from langdspy.field_descriptors import InputField, InputFieldList, OutputField, OutputFieldEnum, OutputFieldEnumList, OutputFieldBool, OutputFieldChooseOne, InputFieldDict, InputFieldDictList
 
 def test_input_field_initialization():
     field = InputField("name", "description")
@@ -87,4 +87,66 @@ def test_output_field_choose_one_format_prompt_description():
 
     field = OutputFieldChooseOne("name", "description", choices)
     assert "One of: Option 1, Option 2, Option 3" in field.format_prompt_description("openai")
-    assert "One of: <choices>Option 1, Option 2, Option 3</choices>" in field.format_prompt_description("anthropic")
\ No newline at end of file
+    assert "One of: <choices>Option 1, Option 2, Option 3</choices>" in field.format_prompt_description("anthropic")
+
+def test_format_prompt_value_openai():
+    field = InputFieldDict("input_dict", "A dictionary input")
+    input_dict = {
+        "name": "John Doe",
+        "age": 30,
+        "city": "New York"
+    }
+    expected_output = "✅input_dict name: John Doe\n✅input_dict age: 30\n✅input_dict city: New York"
+    print(field.format_prompt_value(input_dict, "openai"))
+    print(expected_output)
+    assert field.format_prompt_value(input_dict, "openai") == expected_output
+
+def test_format_prompt_value_anthropic():
+    field = InputFieldDict("input_dict", "A dictionary input")
+    input_dict = {
+        "name": "John Doe",
+        "age": 30,
+        "city": "New York"
+    }
+    expected_output = "<input_dict>\n  <name>John Doe</name>\n  <age>30</age>\n  <city>New York</city>\n</input_dict>"
+    assert field.format_prompt_value(input_dict, "anthropic") == expected_output
+
+# tests/test_input_field_dict_list.py
+import pytest
+from langdspy.field_descriptors import InputFieldDictList
+
+def test_format_prompt_value_openai():
+    field = InputFieldDictList("input_list", "A list of dictionaries")
+    input_list = [
+        {
+            "name": "John Doe",
+            "age": 30,
+            "city": "New York"
+        },
+        {
+            "name": "Jane Smith",
+            "age": 25,
+            "city": "London"
+        }
+    ]
+    expected_output = "✅input_list Item 1:\n  name: John Doe\n  age: 30\n  city: New York\n\n✅input_list Item 2:\n  name: Jane Smith\n  age: 25\n  city: London"
+    print(field.format_prompt_value(input_list, "openai"))
+    print(expected_output)
+    assert field.format_prompt_value(input_list, "openai") == expected_output
+
+def test_format_prompt_value_anthropic():
+    field = InputFieldDictList("input_list", "A list of dictionaries")
+    input_list = [
+        {
+            "name": "John Doe",
+            "age": 30,
+            "city": "New York"
+        },
+        {
+            "name": "Jane Smith",
+            "age": 25,
+            "city": "London"
+        }
+    ]
+    expected_output = "<input_list>\n  <input_list 1>\n    <name>John Doe</name>\n    <age>30</age>\n    <city>New York</city>\n  </input_list 1>\n  <input_list 2>\n    <name>Jane Smith</name>\n    <age>25</age>\n    <city>London</city>\n  </input_list 2>\n</input_list>"
+    assert field.format_prompt_value(input_list, "anthropic") == expected_output
\ No newline at end of file