Merge branch 'main' into openai/strict_json_option

Author: tconley1428

pyproject.toml

@@ -26,7 +26,7 @@ opentelemetry = [
 ]
 pydantic = ["pydantic>=2.0.0,<3"]
 openai-agents = [
-    "openai-agents>=0.2.11,<0.3",
+    "openai-agents>=0.3,<0.4",
     "eval-type-backport>=0.2.2; python_version < '3.10'"
 ]
 
@@ -57,7 +57,7 @@ dev = [
     "pytest-cov>=6.1.1",
     "httpx>=0.28.1",
     "pytest-pretty>=1.3.0",
-    "openai-agents[litellm]>=0.2.11,<0.3"
+    "openai-agents[litellm]>=0.3,<0.4"
 ]
 
 [tool.poe.tasks]

temporalio/contrib/openai_agents/_invoke_model_activity.py

@@ -173,11 +173,6 @@ async def empty_on_invoke_handoff(
         ) -> Any:
             return None
 
-        # workaround for https://github.com/pydantic/pydantic/issues/9541
-        # ValidatorIterator returned
-        input_json = to_json(input["input"])
-        input_input = json.loads(input_json)
-
         def make_tool(tool: ToolInput) -> Tool:
             if isinstance(
                 tool,
@@ -220,7 +215,7 @@ def make_tool(tool: ToolInput) -> Tool:
         try:
             return await model.get_response(
                 system_instructions=input.get("system_instructions"),
-                input=input_input,
+                input=input["input"],
                 model_settings=input["model_settings"],
                 tools=tools,
                 output_schema=input.get("output_schema"),

temporalio/contrib/openai_agents/_openai_runner.py

@@ -63,11 +63,6 @@ async def run(
                 "Temporal OpenAI agent does not support on demand MCP servers."
             )
 
-        # workaround for https://github.com/pydantic/pydantic/issues/9541
-        # ValidatorIterator returned
-        input_json = to_json(input)
-        input = json.loads(input_json)
-
         context = kwargs.get("context")
         max_turns = kwargs.get("max_turns", DEFAULT_MAX_TURNS)
         hooks = kwargs.get("hooks")