Fix not supported field warnings in count_tokens_openai

python/packages/autogen-core/tests/test_model_context.py

@@ -137,7 +137,10 @@ async def test_token_limited_model_context_with_token_limit(
         await model_context.add_message(msg)
 
     retrieved = await model_context.get_messages()
-    assert len(retrieved) == 1  # Token limit set very low, will remove 2 of the messages
+    # Token limit set low, will remove some messages
+    # OpenAI: keeps 2 messages (29 tokens with limit 30)
+    # Ollama: keeps 1 message (20 tokens with limit 20)
+    assert len(retrieved) < len(messages)  # Some messages removed due to token limit
     assert retrieved != messages  # Will not be equal to the original messages
 
     await model_context.clear()
@@ -151,7 +154,7 @@ async def test_token_limited_model_context_with_token_limit(
     await model_context.clear()
     await model_context.load_state(state)
     retrieved = await model_context.get_messages()
-    assert len(retrieved) == 1
+    assert len(retrieved) < len(messages)  # Some messages removed due to token limit
     assert retrieved != messages
 
 

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

@@ -393,6 +393,17 @@ def count_tokens_openai(
                         elif field == "description":
                             tool_tokens += 2
                             tool_tokens += len(encoding.encode(v["description"]))  # pyright: ignore
+                        elif field == "anyOf":
+                            tool_tokens -= 3
+                            for o in v["anyOf"]:  # type: ignore
+                                tool_tokens += 3
+                                tool_tokens += len(encoding.encode(str(o["type"])))  # pyright: ignore
+                        elif field == "default":
+                            tool_tokens += 2
+                            tool_tokens += len(encoding.encode(json.dumps(v["default"])))
+                        elif field == "title":
+                            tool_tokens += 2
+                            tool_tokens += len(encoding.encode(str(v["title"])))  # pyright: ignore
                         elif field == "enum":
                             tool_tokens -= 3
                             for o in v["enum"]:  # pyright: ignore
@@ -404,7 +415,9 @@ def count_tokens_openai(
                 if len(parameters["properties"]) == 0:  # pyright: ignore
                     tool_tokens -= 2
         num_tokens += tool_tokens
-    num_tokens += 12
+
+    if oai_tools:
+        num_tokens += 12
     return num_tokens
 
 

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

@@ -2,7 +2,7 @@
 import json
 import logging
 import os
-from typing import Annotated, Any, AsyncGenerator, Dict, List, Literal, Tuple, TypeVar
+from typing import Annotated, Any, AsyncGenerator, Dict, List, Literal, Optional, Tuple, TypeVar
 from unittest.mock import AsyncMock, MagicMock
 
 import httpx
@@ -450,11 +450,27 @@ def tool1(test: str, test2: str) -> str:
     def tool2(test1: int, test2: List[int]) -> str:
         return str(test1) + str(test2)
 
-    tools = [FunctionTool(tool1, description="example tool 1"), FunctionTool(tool2, description="example tool 2")]
+    def tool3(test1: Annotated[Optional[str], "example"] = None, test2: Literal["1", "2"] = "2") -> str:
+        return str(test1) + str(test2)
+
+    tools = [
+        FunctionTool(tool1, description="example tool 1"),
+        FunctionTool(tool2, description="example tool 2"),
+        FunctionTool(tool3, description="example tool 3"),
+    ]
 
     mockcalculate_vision_tokens = MagicMock()
     monkeypatch.setattr("autogen_ext.models.openai._openai_client.calculate_vision_tokens", mockcalculate_vision_tokens)
 
+    # Test count_tokens without tools
+    num_tokens = client.count_tokens(messages)
+    assert num_tokens
+
+    # Check that calculate_vision_tokens was called
+    mockcalculate_vision_tokens.assert_called_once()
+    mockcalculate_vision_tokens.reset_mock()
+
+    # Test count_tokens with tools
     num_tokens = client.count_tokens(messages, tools=tools)
     assert num_tokens