FIX/mistral could not recive name field (#6503)

## Why are these changes needed?
FIX/mistral could not recive name field, so add model transformer for
mistral

## Related issue number
Closes #6147

## Checks

- [ ] I've included any doc changes needed for
<https://microsoft.github.io/autogen/>. See
<https://github.com/microsoft/autogen/blob/main/CONTRIBUTING.md> to
build and test documentation locally.
- [x] I've added tests (if relevant) corresponding to the changes
introduced in this PR.
- [x] I've made sure all auto checks have passed.

Co-authored-by: Eric Zhu <[email protected]>

Author: SongChiYoung

python/packages/autogen-core/src/autogen_core/models/_model_client.py

@@ -37,9 +37,15 @@ class ModelFamily:
     CLAUDE_3_5_HAIKU = "claude-3-5-haiku"
     CLAUDE_3_5_SONNET = "claude-3-5-sonnet"
     CLAUDE_3_7_SONNET = "claude-3-7-sonnet"
+    CODESRAL = "codestral"
+    OPEN_CODESRAL_MAMBA = "open-codestral-mamba"
+    MISTRAL = "mistral"
+    MINISTRAL = "ministral"
+    PIXTRAL = "pixtral"
     UNKNOWN = "unknown"
 
     ANY: TypeAlias = Literal[
+        # openai_models
         "gpt-41",
         "gpt-45",
         "gpt-4o",
@@ -49,16 +55,25 @@ class ModelFamily:
         "gpt-4",
         "gpt-35",
         "r1",
+        # google_models
         "gemini-1.5-flash",
         "gemini-1.5-pro",
         "gemini-2.0-flash",
         "gemini-2.5-pro",
+        # anthropic_models
         "claude-3-haiku",
         "claude-3-sonnet",
         "claude-3-opus",
         "claude-3-5-haiku",
         "claude-3-5-sonnet",
         "claude-3-7-sonnet",
+        # mistral_models
+        "codestral",
+        "open-codestral-mamba",
+        "mistral",
+        "ministral",
+        "pixtral",
+        # unknown
         "unknown",
     ]
 
@@ -98,6 +113,16 @@ def is_openai(family: str) -> bool:
             ModelFamily.GPT_35,
         )
 
+    @staticmethod
+    def is_mistral(family: str) -> bool:
+        return family in (
+            ModelFamily.CODESRAL,
+            ModelFamily.OPEN_CODESRAL_MAMBA,
+            ModelFamily.MISTRAL,
+            ModelFamily.MINISTRAL,
+            ModelFamily.PIXTRAL,
+        )
+
 
 @deprecated("Use the ModelInfo class instead ModelCapabilities.")
 class ModelCapabilities(TypedDict, total=False):

python/packages/autogen-ext/src/autogen_ext/models/openai/_message_transform.py

@@ -275,7 +275,6 @@ def _set_pass_message_when_whitespace(message: LLMMessage, context: Dict[str, An
 
 base_user_transformer_funcs: List[Callable[[LLMMessage, Dict[str, Any]], Dict[str, Any]]] = [
     _assert_valid_name,
-    _set_name,
     _set_role("user"),
 ]
 
@@ -293,13 +292,15 @@ def _set_pass_message_when_whitespace(message: LLMMessage, context: Dict[str, An
 single_user_transformer_funcs: List[Callable[[LLMMessage, Dict[str, Any]], Dict[str, Any]]] = (
     base_user_transformer_funcs
     + [
+        _set_name,
         _set_prepend_text_content,
     ]
 )
 
 multimodal_user_transformer_funcs: List[Callable[[LLMMessage, Dict[str, Any]], Dict[str, Any]]] = (
     base_user_transformer_funcs
     + [
+        _set_name,
         _set_multimodal_content,
     ]
 )
@@ -334,6 +335,19 @@ def _set_pass_message_when_whitespace(message: LLMMessage, context: Dict[str, An
 
 
 # === Specific message param functions ===
+single_user_transformer_funcs_mistral: List[Callable[[LLMMessage, Dict[str, Any]], Dict[str, Any]]] = (
+    base_user_transformer_funcs
+    + [
+        _set_prepend_text_content,
+    ]
+)
+
+multimodal_user_transformer_funcs_mistral: List[Callable[[LLMMessage, Dict[str, Any]], Dict[str, Any]]] = (
+    base_user_transformer_funcs
+    + [
+        _set_multimodal_content,
+    ]
+)
 
 
 # === Transformer maps ===
@@ -359,6 +373,8 @@ def user_condition(message: LLMMessage, context: Dict[str, Any]) -> str:
     "tools": tools_assistant_transformer_funcs,
     "thought": thought_assistant_transformer_funcs,
 }
+
+
 assistant_transformer_constructors: Dict[str, Callable[..., Any]] = {
     "text": ChatCompletionAssistantMessageParam,
     "tools": ChatCompletionAssistantMessageParam,
@@ -403,6 +419,12 @@ def assistant_condition(message: LLMMessage, context: Dict[str, Any]) -> str:
 }
 
 
+user_transformer_funcs_mistral: Dict[str, List[Callable[[LLMMessage, Dict[str, Any]], Dict[str, Any]]]] = {
+    "text": single_user_transformer_funcs_mistral,
+    "multimodal": multimodal_user_transformer_funcs_mistral,
+}
+
+
 def function_execution_result_message(message: LLMMessage, context: Dict[str, Any]) -> TrasformerReturnType:
     assert isinstance(message, FunctionExecutionResultMessage)
     return [
@@ -466,6 +488,24 @@ def function_execution_result_message(message: LLMMessage, context: Dict[str, An
     FunctionExecutionResultMessage: function_execution_result_message,
 }
 
+__MISTRAL_TRANSFORMER_MAP: TransformerMap = {
+    SystemMessage: build_transformer_func(
+        funcs=system_message_transformers + [_set_empty_to_whitespace],
+        message_param_func=ChatCompletionSystemMessageParam,
+    ),
+    UserMessage: build_conditional_transformer_func(
+        funcs_map=user_transformer_funcs_mistral,
+        message_param_func_map=user_transformer_constructors,
+        condition_func=user_condition,
+    ),
+    AssistantMessage: build_conditional_transformer_func(
+        funcs_map=assistant_transformer_funcs,
+        message_param_func_map=assistant_transformer_constructors,
+        condition_func=assistant_condition,
+    ),
+    FunctionExecutionResultMessage: function_execution_result_message,
+}
+
 
 # set openai models to use the transformer map
 total_models = get_args(ModelFamily.ANY)
@@ -475,7 +515,11 @@ def function_execution_result_message(message: LLMMessage, context: Dict[str, An
 
 __gemini_models = [model for model in total_models if ModelFamily.is_gemini(model)]
 
-__unknown_models = list(set(total_models) - set(__openai_models) - set(__claude_models) - set(__gemini_models))
+__mistral_models = [model for model in total_models if ModelFamily.is_mistral(model)]
+
+__unknown_models = list(
+    set(total_models) - set(__openai_models) - set(__claude_models) - set(__gemini_models) - set(__mistral_models)
+)
 
 for model in __openai_models:
     register_transformer("openai", model, __BASE_TRANSFORMER_MAP)
@@ -486,6 +530,9 @@ def function_execution_result_message(message: LLMMessage, context: Dict[str, An
 for model in __gemini_models:
     register_transformer("openai", model, __GEMINI_TRANSFORMER_MAP)
 
+for model in __mistral_models:
+    register_transformer("openai", model, __MISTRAL_TRANSFORMER_MAP)
+
 for model in __unknown_models:
     register_transformer("openai", model, __BASE_TRANSFORMER_MAP)
 

python/packages/autogen-ext/tests/models/test_openai_model_client.py

@@ -2485,4 +2485,17 @@ async def test_multimodal_message_test(
     _ = await ocr_agent.run(task=multi_modal_message)
 
 
+@pytest.mark.asyncio
+async def test_mistral_remove_name() -> None:
+    # Test that the name pramaeter is removed from the message
+    # when the model is Mistral
+    message = UserMessage(content="foo", source="user")
+    params = to_oai_type(message, prepend_name=False, model="mistral-7b", model_family=ModelFamily.MISTRAL)
+    assert ("name" in params[0]) is False
+
+    # when the model is gpt-4o, the name parameter is not removed
+    params = to_oai_type(message, prepend_name=False, model="gpt-4o", model_family=ModelFamily.GPT_4O)
+    assert ("name" in params[0]) is True
+
+
 # TODO: add integration tests for Azure OpenAI using AAD token.