remove deprecated usage of openaimodel

Author: Dylan Huang

eval_protocol/pytest/default_pydantic_ai_rollout_processor.py

@@ -21,7 +21,7 @@
     ToolReturnPart,
     UserPromptPart,
 )
-from pydantic_ai.models.openai import OpenAIModel
+from pydantic_ai.models.openai import OpenAIChatModel
 from pydantic_ai.providers.openai import OpenAIProvider
 
 logger = logging.getLogger(__name__)
@@ -37,7 +37,7 @@ def __init__(
         usage_limits: UsageLimits | None = None,
     ):
         # dummy model used for its helper functions for processing messages
-        self._util: OpenAIModel = OpenAIModel("dummy-model", provider=OpenAIProvider(api_key="dummy"))
+        self._util: OpenAIChatModel = OpenAIChatModel("dummy-model", provider=OpenAIProvider(api_key="dummy"))
         self._setup_agent = agent_factory
 
     @override
@@ -53,18 +53,18 @@ async def process_row(row: EvaluationRow) -> EvaluationRow:
             start_time = time.perf_counter()
 
             tools = []
-            for _, tool in agent._function_tools.items():
-                tool_dict = {
-                    "type": "function",
-                    "function": {
-                        "name": tool.name,
-                        "parameters": tool.function_schema.json_schema,
-                    },
-                }
-                if tool.description:
-                    tool_dict["function"]["description"] = tool.description
-
-                tools.append(tool_dict)
+            # for _, tool in agent._function_tools.items():
+            #     tool_dict = {
+            #         "type": "function",
+            #         "function": {
+            #             "name": tool.name,
+            #             "parameters": tool.function_schema.json_schema,
+            #         },
+            #     }
+            #     if tool.description:
+            #         tool_dict["function"]["description"] = tool.description
+
+            #     tools.append(tool_dict)
             row.tools = tools
 
             model_messages = [self.convert_ep_message_to_pyd_message(m, row) for m in row.messages]

tests/chinook/langfuse/generate_traces.py

@@ -13,7 +13,7 @@
 try:
     from langfuse import get_client, observe  # pyright: ignore[reportPrivateImportUsage]
     from pydantic_ai.agent import Agent
-    from pydantic_ai.models.openai import OpenAIModel
+    from pydantic_ai.models.openai import OpenAIChatModel
 
     LANGFUSE_AVAILABLE = True
     langfuse_client = get_client()
@@ -42,7 +42,7 @@ def decorator(func):
 def agent_factory(config: RolloutProcessorConfig) -> Agent:
     model_name = config.completion_params["model"]
     provider = config.completion_params["provider"]
-    model = OpenAIModel(model_name, provider=provider)
+    model = OpenAIChatModel(model_name, provider=provider)
     return setup_agent(model)
 
 

tests/chinook/langfuse/test_langfuse_chinook.py

@@ -16,7 +16,7 @@
 import pytest
 from pydantic import BaseModel
 from pydantic_ai import Agent
-from pydantic_ai.models.openai import OpenAIModel
+from pydantic_ai.models.openai import OpenAIChatModel
 
 from eval_protocol.models import EvaluateResult, EvaluationRow, Message, InputMetadata
 from eval_protocol.pytest import evaluation_test, NoOpRolloutProcessor
@@ -99,7 +99,7 @@ async def test_langfuse_evaluation(row: EvaluationRow) -> EvaluationRow:
             reason="No assistant message found",
         )
     else:
-        model = OpenAIModel(
+        model = OpenAIChatModel(
             "accounts/fireworks/models/kimi-k2-instruct",
             provider="fireworks",
         )

tests/chinook/pydantic/agent.py

@@ -1,7 +1,7 @@
 from pydantic_ai import Agent, RunContext
 import asyncio
 from pydantic_ai.models import Model
-from pydantic_ai.models.openai import OpenAIModel
+from pydantic_ai.models.openai import OpenAIChatModel
 from pydantic_ai.exceptions import ModelRetry
 import sys
 import os
@@ -68,7 +68,7 @@ def execute_sql(ctx: RunContext, query: str) -> str:
 
 
 async def main():
-    model = OpenAIModel(
+    model = OpenAIChatModel(
         "accounts/fireworks/models/kimi-k2-instruct",
         provider="fireworks",
     )

tests/chinook/pydantic/test_pydantic_chinook.py

@@ -9,7 +9,7 @@
 from eval_protocol.pytest.types import RolloutProcessorConfig
 from tests.chinook.pydantic.agent import setup_agent
 import os
-from pydantic_ai.models.openai import OpenAIModel
+from pydantic_ai.models.openai import OpenAIChatModel
 
 from tests.chinook.dataset import collect_dataset
 
@@ -24,7 +24,7 @@
 def agent_factory(config: RolloutProcessorConfig) -> Agent:
     model_name = config.completion_params["model"]
     provider = config.completion_params["provider"]
-    model = OpenAIModel(model_name, provider=provider)
+    model = OpenAIChatModel(model_name, provider=provider)
     return setup_agent(model)
 
 
@@ -56,7 +56,7 @@ async def test_simple_query(row: EvaluationRow) -> EvaluationRow:
             reason="No assistant message found",
         )
     else:
-        model = OpenAIModel(
+        model = OpenAIChatModel(
             "accounts/fireworks/models/kimi-k2-instruct",
             provider="fireworks",
         )

tests/chinook/pydantic/test_pydantic_complex_queries.py

@@ -1,7 +1,7 @@
 import os
 from pydantic import BaseModel
 from pydantic_ai import Agent
-from pydantic_ai.models.openai import OpenAIModel
+from pydantic_ai.models.openai import OpenAIChatModel
 import pytest
 
 from eval_protocol.models import EvaluateResult, EvaluationRow
@@ -22,7 +22,7 @@
 def agent_factory(config: RolloutProcessorConfig) -> Agent:
     model_name = config.completion_params["model"]
     provider = config.completion_params["provider"]
-    model = OpenAIModel(model_name, provider=provider)
+    model = OpenAIChatModel(model_name, provider=provider)
     return setup_agent(model)
 
 
@@ -57,7 +57,7 @@ async def test_pydantic_complex_queries(row: EvaluationRow) -> EvaluationRow:
             reason="No assistant message found",
         )
     else:
-        model = OpenAIModel(
+        model = OpenAIChatModel(
             "accounts/fireworks/models/kimi-k2-instruct",
             provider="fireworks",
         )

tests/pytest/test_pydantic_agent.py

@@ -1,16 +1,16 @@
 from pydantic_ai.agent import Agent
-from pydantic_ai.models.openai import OpenAIModel
+from pydantic_ai.models.openai import OpenAIChatModel
 import pytest
 
-from eval_protocol.models import EvaluationRow, Message
+from eval_protocol.models import EvaluationRow, Message, Status
 from eval_protocol.pytest import evaluation_test
 
 from eval_protocol.pytest.default_pydantic_ai_rollout_processor import PydanticAgentRolloutProcessor
 from eval_protocol.pytest.types import RolloutProcessorConfig
 
 
 def agent_factory(config: RolloutProcessorConfig) -> Agent:
-    model = OpenAIModel(config.completion_params["model"], provider="fireworks")
+    model = OpenAIChatModel(config.completion_params["model"], provider="fireworks")
     return Agent(model=model)
 
 
@@ -27,4 +27,5 @@ async def test_pydantic_agent(row: EvaluationRow) -> EvaluationRow:
     """
     Super simple hello world test for Pydantic AI.
     """
+    assert row.rollout_status.code == Status.Code.FINISHED
     return row

tests/pytest/test_pydantic_multi_agent.py

@@ -7,7 +7,7 @@
 to agent based on key.
 """
 
-from pydantic_ai.models.openai import OpenAIModel
+from pydantic_ai.models.openai import OpenAIChatModel
 import pytest
 
 from eval_protocol.models import EvaluationRow, Message
@@ -49,10 +49,12 @@ async def joke_factory(ctx: RunContext[None], count: int) -> list[str]:  # pyrig
 
 
 def agent_factory(config: RolloutProcessorConfig) -> Agent:
-    joke_generation_model = OpenAIModel(
+    joke_generation_model = OpenAIChatModel(
         config.completion_params["model"]["joke_generation_model"], provider="fireworks"
     )
-    joke_selection_model = OpenAIModel(config.completion_params["model"]["joke_selection_model"], provider="fireworks")
+    joke_selection_model = OpenAIChatModel(
+        config.completion_params["model"]["joke_selection_model"], provider="fireworks"
+    )
     return setup_agent(
         joke_generation_model,
         joke_selection_model,