Merge pull request #113 from scaleapi/release-please--branches--main--changes--next

release: 0.4.17

Author: danielmillerp

.release-please-manifest.json

@@ -1,3 +1,3 @@
 {
-  ".": "0.4.16"
+  ".": "0.4.17"
 }

CHANGELOG.md

@@ -1,5 +1,15 @@
 # Changelog
 
+## 0.4.17 (2025-09-29)
+
+Full Changelog: [v0.4.16...v0.4.17](https://github.com/scaleapi/agentex-python/compare/v0.4.16...v0.4.17)
+
+### Chores
+
+* **internal:** codegen related update ([2fdc0e7](https://github.com/scaleapi/agentex-python/commit/2fdc0e75ea3874cf896cdbb119b50a4165b2e942))
+* **internal:** version bump ([0a59ad4](https://github.com/scaleapi/agentex-python/commit/0a59ad40b55b3577ef2addcea2fe4c0e4f002d49))
+* **internal:** version bump ([6174ef1](https://github.com/scaleapi/agentex-python/commit/6174ef1573a539f5e0f57bc625a67da31311afb6))
+
 ## 0.4.16 (2025-09-16)
 
 Full Changelog: [v0.4.15...v0.4.16](https://github.com/scaleapi/agentex-python/compare/v0.4.15...v0.4.16)

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "agentex-sdk"
-version = "0.4.16"
+version = "0.4.17"
 description = "The official Python library for the agentex API"
 dynamic = ["readme"]
 license = "Apache-2.0"
@@ -86,7 +86,6 @@ dev-dependencies = [
     "dirty-equals>=0.6.0",
     "importlib-metadata>=6.7.0",
     "rich>=13.7.1",
-    "nest_asyncio==1.6.0",
     "pytest-xdist>=3.6.1",
     "debugpy>=1.8.15",
 ]

src/agentex/_version.py

@@ -1,4 +1,4 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 __title__ = "agentex"
-__version__ = "0.4.16"  # x-release-please-version
+__version__ = "0.4.17"  # x-release-please-version

src/agentex/lib/core/services/adk/providers/openai.py

@@ -358,7 +358,6 @@ async def run_agent_auto_send(
             },
         ) as span:
             heartbeat_if_in_workflow("run agent auto send")
-
             async with mcp_server_context(mcp_server_params, mcp_timeout_seconds) as servers:
                 tools = [tool.to_oai_function_tool() for tool in tools] if tools else []
                 handoffs = [Agent(**handoff.model_dump()) for handoff in handoffs] if handoffs else []
@@ -396,12 +395,9 @@ async def run_agent_auto_send(
                     result = await Runner.run(
                         starting_agent=agent, input=input_list, previous_response_id=previous_response_id
                     )
-                else:
-                    result = await Runner.run(starting_agent=agent, input=input_list)
-
-                if span:
-                    span.output = {
-                        "new_items": [
+                            item.raw_item.model_dump()
+                            if isinstance(item.raw_item, BaseModel)
+                            else item.raw_item
                             item.raw_item.model_dump() if isinstance(item.raw_item, BaseModel) else item.raw_item
                             for item in result.new_items
                         ],
@@ -431,7 +427,6 @@ async def run_agent_auto_send(
 
                     elif item.type == "tool_call_item":
                         tool_call_item = item.raw_item
-
                         # Extract tool call information using the helper method
                         call_id, tool_name, tool_arguments = self._extract_tool_call_info(tool_call_item)
                         tool_call_map[call_id] = tool_call_item
@@ -557,9 +552,15 @@ async def run_agent_streamed(
         ) as span:
             heartbeat_if_in_workflow("run agent streamed")
 
-            async with mcp_server_context(mcp_server_params, mcp_timeout_seconds) as servers:
+            async with mcp_server_context(
+                mcp_server_params, mcp_timeout_seconds
+            ) as servers:
                 tools = [tool.to_oai_function_tool() for tool in tools] if tools else []
-                handoffs = [Agent(**handoff.model_dump()) for handoff in handoffs] if handoffs else []
+                handoffs = (
+                    [Agent(**handoff.model_dump()) for handoff in handoffs]
+                    if handoffs
+                    else []
+                )
                 agent_kwargs = {
                     "name": agent_name,
                     "instructions": agent_instructions,
@@ -572,7 +573,9 @@ async def run_agent_streamed(
                     "tool_use_behavior": tool_use_behavior,
                 }
                 if model_settings is not None:
-                    agent_kwargs["model_settings"] = model_settings.to_oai_model_settings()
+                    agent_kwargs["model_settings"] = (
+                        model_settings.to_oai_model_settings()
+                    )
                 if input_guardrails is not None:
                     agent_kwargs["input_guardrails"] = input_guardrails
                 if output_guardrails is not None:
@@ -600,7 +603,9 @@ async def run_agent_streamed(
                 if span:
                     span.output = {
                         "new_items": [
-                            item.raw_item.model_dump() if isinstance(item.raw_item, BaseModel) else item.raw_item
+                            item.raw_item.model_dump()
+                            if isinstance(item.raw_item, BaseModel)
+                            else item.raw_item
                             for item in result.new_items
                         ],
                         "final_output": result.final_output,
@@ -733,7 +738,6 @@ async def run_agent_streamed_auto_send(
                         if event.type == "run_item_stream_event":
                             if event.item.type == "tool_call_item":
                                 tool_call_item = event.item.raw_item
-
                                 # Extract tool call information using the helper method
                                 call_id, tool_name, tool_arguments = self._extract_tool_call_info(tool_call_item)
                                 tool_call_map[call_id] = tool_call_item
@@ -746,10 +750,12 @@ async def run_agent_streamed_auto_send(
                                 )
 
                                 # Create tool request using streaming context (immediate completion)
-                                async with self.streaming_service.streaming_task_message_context(
-                                    task_id=task_id,
-                                    initial_content=tool_request_content,
-                                ) as streaming_context:
+                                async with (
+                                    self.streaming_service.streaming_task_message_context(
+                                        task_id=task_id,
+                                        initial_content=tool_request_content,
+                                    ) as streaming_context
+                                ):
                                     # The message has already been persisted, but we still need to send an upda
                                     await streaming_context.stream_update(
                                         update=StreamTaskMessageFull(
@@ -775,9 +781,12 @@ async def run_agent_streamed_auto_send(
                                 )
 
                                 # Create tool response using streaming context (immediate completion)
-                                async with self.streaming_service.streaming_task_message_context(
-                                    task_id=task_id, initial_content=tool_response_content
-                                ) as streaming_context:
+                                async with (
+                                    self.streaming_service.streaming_task_message_context(
+                                        task_id=task_id,
+                                        initial_content=tool_response_content
+                                    ) as streaming_context
+                                ):
                                     # The message has already been persisted, but we still need to send an update
                                     await streaming_context.stream_update(
                                         update=StreamTaskMessageFull(
@@ -803,10 +812,14 @@ async def run_agent_streamed_auto_send(
                                         ),
                                     )
                                     # Open the streaming context
-                                    item_id_to_streaming_context[item_id] = await streaming_context.open()
+                                    item_id_to_streaming_context[
+                                        item_id
+                                    ] = await streaming_context.open()
                                     unclosed_item_ids.add(item_id)
                                 else:
-                                    streaming_context = item_id_to_streaming_context[item_id]
+                                    streaming_context = item_id_to_streaming_context[
+                                        item_id
+                                    ]
 
                                 # Stream the delta through the streaming service
                                 await streaming_context.stream_update(
@@ -836,10 +849,14 @@ async def run_agent_streamed_auto_send(
                                         ),
                                     )
                                     # Open the streaming context
-                                    item_id_to_streaming_context[item_id] = await streaming_context.open()
+                                    item_id_to_streaming_context[
+                                        item_id
+                                    ] = await streaming_context.open()
                                     unclosed_item_ids.add(item_id)
                                 else:
-                                    streaming_context = item_id_to_streaming_context[item_id]
+                                    streaming_context = item_id_to_streaming_context[
+                                        item_id
+                                    ]
 
                                 # Stream the summary delta through the streaming service
                                 await streaming_context.stream_update(
@@ -873,10 +890,14 @@ async def run_agent_streamed_auto_send(
                                         ),
                                     )
                                     # Open the streaming context
-                                    item_id_to_streaming_context[item_id] = await streaming_context.open()
+                                    item_id_to_streaming_context[
+                                        item_id
+                                    ] = await streaming_context.open()
                                     unclosed_item_ids.add(item_id)
                                 else:
-                                    streaming_context = item_id_to_streaming_context[item_id]
+                                    streaming_context = item_id_to_streaming_context[
+                                        item_id
+                                    ]
 
                                 # Stream the content delta through the streaming service
                                 await streaming_context.stream_update(
@@ -904,7 +925,6 @@ async def run_agent_streamed_auto_send(
                                 # to close the streaming context, but they do!!!
                                 # They output both a ResponseReasoningSummaryTextDoneEvent and a ResponseReasoningSummaryPartDoneEvent
                                 # I have no idea why they do this.
-
                             elif isinstance(event.data, ResponseReasoningTextDoneEvent):
                                 # Handle reasoning content text completion
                                 item_id = event.data.item_id
@@ -920,7 +940,9 @@ async def run_agent_streamed_auto_send(
 
                                 # Finish the streaming context (sends DONE event and updates message)
                                 if item_id in item_id_to_streaming_context:
-                                    streaming_context = item_id_to_streaming_context[item_id]
+                                    streaming_context = item_id_to_streaming_context[
+                                        item_id
+                                    ]
                                     await streaming_context.close()
                                     if item_id in unclosed_item_ids:
                                         unclosed_item_ids.remove(item_id)
@@ -930,17 +952,17 @@ async def run_agent_streamed_auto_send(
                                 # Create a copy to avoid modifying set during iteration
                                 remaining_items = list(unclosed_item_ids)
                                 for item_id in remaining_items:
-                                    if (
-                                        item_id in unclosed_item_ids and item_id in item_id_to_streaming_context
-                                    ):  # Check if still unclosed
-                                        streaming_context = item_id_to_streaming_context[item_id]
+                                    if (item_id in unclosed_item_ids and
+                                            item_id in item_id_to_streaming_context):  # Check if still unclosed
+                                        streaming_context = item_id_to_streaming_context[
+                                            item_id
+                                        ]
                                         await streaming_context.close()
                                         unclosed_item_ids.discard(item_id)
 
                 except InputGuardrailTripwireTriggered as e:
                     # Handle guardrail trigger by sending a rejection message
                     rejection_message = "I'm sorry, but I cannot process this request due to a guardrail. Please try a different question."
-
                     # Try to extract rejection message from the guardrail result
                     if hasattr(e, "guardrail_result") and hasattr(e.guardrail_result, "output"):
                         output_info = getattr(e.guardrail_result.output, "output_info", {})
@@ -971,7 +993,6 @@ async def run_agent_streamed_auto_send(
                                 type="full",
                             ),
                         )
-
                     # Re-raise to let the activity handle it
                     raise
 
@@ -1009,7 +1030,6 @@ async def run_agent_streamed_auto_send(
                                 type="full",
                             ),
                         )
-
                     # Re-raise to let the activity handle it
                     raise
 

src/agentex/lib/sdk/fastacp/fastacp.py

@@ -23,6 +23,7 @@
 
 logger = make_logger(__name__)
 
+
 class FastACP:
     """Factory for creating FastACP instances
 

tests/test_client.py

@@ -6,13 +6,10 @@
 import os
 import sys
 import json
-import time
 import asyncio
 import inspect
-import subprocess
 import tracemalloc
 from typing import Any, Union, cast
-from textwrap import dedent
 from unittest import mock
 from typing_extensions import Literal
 
@@ -23,14 +20,17 @@
 
 from agentex import Agentex, AsyncAgentex, APIResponseValidationError
 from agentex._types import Omit
+from agentex._utils import asyncify
 from agentex._models import BaseModel, FinalRequestOptions
 from agentex._exceptions import APIStatusError, APITimeoutError, APIResponseValidationError
 from agentex._base_client import (
     DEFAULT_TIMEOUT,
     HTTPX_DEFAULT_TIMEOUT,
     BaseClient,
+    OtherPlatform,
     DefaultHttpxClient,
     DefaultAsyncHttpxClient,
+    get_platform,
     make_request_options,
 )
 
@@ -1643,50 +1643,9 @@ def retry_handler(_request: httpx.Request) -> httpx.Response:
 
         assert response.http_request.headers.get("x-stainless-retry-count") == "42"
 
-    def test_get_platform(self) -> None:
-        # A previous implementation of asyncify could leave threads unterminated when
-        # used with nest_asyncio.
-        #
-        # Since nest_asyncio.apply() is global and cannot be un-applied, this
-        # test is run in a separate process to avoid affecting other tests.
-        test_code = dedent("""
-        import asyncio
-        import nest_asyncio
-        import threading
-
-        from agentex._utils import asyncify
-        from agentex._base_client import get_platform
-
-        async def test_main() -> None:
-            result = await asyncify(get_platform)()
-            print(result)
-            for thread in threading.enumerate():
-                print(thread.name)
-
-        nest_asyncio.apply()
-        asyncio.run(test_main())
-        """)
-        with subprocess.Popen(
-            [sys.executable, "-c", test_code],
-            text=True,
-        ) as process:
-            timeout = 10  # seconds
-
-            start_time = time.monotonic()
-            while True:
-                return_code = process.poll()
-                if return_code is not None:
-                    if return_code != 0:
-                        raise AssertionError("calling get_platform using asyncify resulted in a non-zero exit code")
-
-                    # success
-                    break
-
-                if time.monotonic() - start_time > timeout:
-                    process.kill()
-                    raise AssertionError("calling get_platform using asyncify resulted in a hung process")
-
-                time.sleep(0.1)
+    async def test_get_platform(self) -> None:
+        platform = await asyncify(get_platform)()
+        assert isinstance(platform, (str, OtherPlatform))
 
     async def test_proxy_environment_variables(self, monkeypatch: pytest.MonkeyPatch) -> None:
         # Test that the proxy environment variables are set correctly