agent/agent-framework
1
0
Fork 0
mirror of https://github.com/microsoft/agent-framework.git synced 2026-06-16 21:04:09 +08:00
Code Issues Packages Projects Releases Wiki Activity

Python: Add more types (#5378)

Browse Source 
* Add more type supports

* Upgrade packages

* Remove TODOs in README
This commit is contained in:
Tao Chen
2026-04-20 17:46:06 -07:00
committed by GitHub
Unverified
parent 8bc7c3a7a8
commit cd48c1424c
5 changed files with 626 additions and 31 deletions
Download Patch File Download Diff File Expand all files Collapse all files
python/packages/foundry_hosting/README.md
-8
View File
@@ -1,11 +1,3 @@
# Foundry Hosting
This package provides the integration of Agent Framework agents and workflows with the Foundry Agent Server, which can be hosted on Foundry infrastructure.
## Responses
TODO
## Invocations
TODO
python/packages/foundry_hosting/agent_framework_foundry_hosting/_responses.py
+217 -1
View File
@@ -42,15 +42,34 @@ from azure.ai.agentserver.responses.models import (
MessageContentOutputTextContent,
MessageContentReasoningTextContent,
MessageContentRefusalContent,
OAuthConsentRequestOutputItem,
OutputItem,
OutputItemApplyPatchToolCall,
OutputItemApplyPatchToolCallOutput,
OutputItemCodeInterpreterToolCall,
OutputItemComputerToolCall,
OutputItemComputerToolCallOutputResource,
OutputItemCustomToolCall,
OutputItemCustomToolCallOutput,
OutputItemFileSearchToolCall,
OutputItemFunctionShellCall,
OutputItemFunctionShellCallOutput,
OutputItemFunctionToolCall,
OutputItemImageGenToolCall,
OutputItemLocalShellToolCall,
OutputItemLocalShellToolCallOutput,
OutputItemMcpApprovalRequest,
OutputItemMcpApprovalResponseResource,
OutputItemMcpToolCall,
OutputItemMessage,
OutputItemOutputMessage,
OutputItemReasoningItem,
OutputItemWebSearchToolCall,
OutputMessageContent,
OutputMessageContentOutputTextContent,
OutputMessageContentRefusalContent,
ResponseStreamEvent,
StructuredOutputsOutputItem,
SummaryTextContent,
TextContent,
)
@@ -572,6 +591,203 @@ def _to_message(item: OutputItem) -> Message:
contents.append(Content.from_text(summary.text))
return Message(role="assistant", contents=contents)
if item.type == "mcp_call":
mcp = cast(OutputItemMcpToolCall, item)
return Message(
role="assistant",
contents=[
Content.from_mcp_server_tool_call(
mcp.id,
mcp.name,
server_name=mcp.server_label,
arguments=mcp.arguments,
)
],
)
if item.type == "mcp_approval_request":
mcp_req = cast(OutputItemMcpApprovalRequest, item)
fc = Content.from_mcp_server_tool_call(
mcp_req.id,
mcp_req.name,
server_name=mcp_req.server_label,
arguments=mcp_req.arguments,
)
return Message(
role="assistant",
contents=[Content.from_function_approval_request(mcp_req.id, fc)],
)
if item.type == "mcp_approval_response":
mcp_resp = cast(OutputItemMcpApprovalResponseResource, item)
# Build a placeholder function_call Content since the original call details are not available
fc = Content.from_function_call(mcp_resp.approval_request_id, "mcp_approval")
return Message(
role="user",
contents=[Content.from_function_approval_response(mcp_resp.approve, mcp_resp.id, fc)],
)
if item.type == "code_interpreter_call":
ci = cast(OutputItemCodeInterpreterToolCall, item)
return Message(
role="assistant",
contents=[Content.from_code_interpreter_tool_call(call_id=ci.id)],
)
if item.type == "image_generation_call":
ig = cast(OutputItemImageGenToolCall, item)
return Message(
role="assistant",
contents=[Content.from_image_generation_tool_call(image_id=ig.id)],
)
if item.type == "shell_call":
sc = cast(OutputItemFunctionShellCall, item)
return Message(
role="assistant",
contents=[
Content.from_shell_tool_call(
call_id=sc.call_id,
commands=sc.action.commands,
status=str(sc.status),
)
],
)
if item.type == "shell_call_output":
sco = cast(OutputItemFunctionShellCallOutput, item)
outputs = [
Content.from_shell_command_output(
stdout=out.stdout or "",
stderr=out.stderr or "",
exit_code=getattr(out.outcome, "exit_code", None) if hasattr(out, "outcome") else None,
)
for out in (sco.output or [])
]
return Message(
role="tool",
contents=[
Content.from_shell_tool_result(
call_id=sco.call_id,
outputs=outputs,
max_output_length=sco.max_output_length,
)
],
)
if item.type == "local_shell_call":
lsc = cast(OutputItemLocalShellToolCall, item)
commands = lsc.action.command if hasattr(lsc.action, "command") and lsc.action.command else []
return Message(
role="assistant",
contents=[
Content.from_shell_tool_call(
call_id=lsc.call_id,
commands=commands,
status=str(lsc.status),
)
],
)
if item.type == "local_shell_call_output":
lsco = cast(OutputItemLocalShellToolCallOutput, item)
return Message(
role="tool",
contents=[
Content.from_shell_tool_result(
call_id=lsco.id,
outputs=[Content.from_shell_command_output(stdout=lsco.output)],
)
],
)
if item.type == "file_search_call":
fs = cast(OutputItemFileSearchToolCall, item)
return Message(
role="assistant",
contents=[
Content.from_function_call(
fs.id,
"file_search",
arguments=json.dumps({"queries": fs.queries}),
)
],
)
if item.type == "web_search_call":
ws = cast(OutputItemWebSearchToolCall, item)
return Message(
role="assistant",
contents=[Content.from_function_call(ws.id, "web_search")],
)
if item.type == "computer_call":
cc = cast(OutputItemComputerToolCall, item)
return Message(
role="assistant",
contents=[
Content.from_function_call(
cc.call_id,
"computer_use",
arguments=str(cc.action),
)
],
)
if item.type == "computer_call_output":
cco = cast(OutputItemComputerToolCallOutputResource, item)
return Message(
role="tool",
contents=[Content.from_function_result(cco.call_id, result=str(cco.output))],
)
if item.type == "custom_tool_call":
ct = cast(OutputItemCustomToolCall, item)
return Message(
role="assistant",
contents=[Content.from_function_call(ct.call_id, ct.name, arguments=ct.input)],
)
if item.type == "custom_tool_call_output":
cto = cast(OutputItemCustomToolCallOutput, item)
output = cto.output if isinstance(cto.output, str) else str(cto.output)
return Message(
role="tool",
contents=[Content.from_function_result(cto.call_id, result=output)],
)
if item.type == "apply_patch_call":
ap = cast(OutputItemApplyPatchToolCall, item)
return Message(
role="assistant",
contents=[
Content.from_function_call(
ap.call_id,
"apply_patch",
arguments=str(ap.operation),
)
],
)
if item.type == "apply_patch_call_output":
apo = cast(OutputItemApplyPatchToolCallOutput, item)
return Message(
role="tool",
contents=[Content.from_function_result(apo.call_id, result=apo.output or "")],
)
if item.type == "oauth_consent_request":
oauth = cast(OAuthConsentRequestOutputItem, item)
return Message(
role="assistant",
contents=[Content.from_oauth_consent_request(oauth.consent_link)],
)
if item.type == "structured_outputs":
so = cast(StructuredOutputsOutputItem, item)
text = json.dumps(so.output) if not isinstance(so.output, str) else so.output
return Message(role="assistant", contents=[Content.from_text(text)])
raise ValueError(f"Unsupported OutputItem type: {item.type}")
@@ -752,7 +968,7 @@ async def _to_outputs(stream: ResponseEventStream, content: Content) -> AsyncIte
yield event
else:
# Log a warning for unsupported content types instead of raising an error to avoid breaking the response stream.
logger.warning(f"Content type '{content.type}' is not supported yet.")
logger.warning(f"Content type '{content.type}' is not supported yet. This is usually safe to ignore.")
# endregion
python/packages/foundry_hosting/pyproject.toml
+4 -4
View File
@@ -4,7 +4,7 @@ description = "Foundry Hosting integration for Microsoft Agent Framework."
authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
readme = "README.md"
requires-python = ">=3.10"
version = "1.0.0a260402"
version = "1.0.0a260420"
license-files = ["LICENSE"]
urls.homepage = "https://aka.ms/agent-framework"
urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -24,9 +24,9 @@ classifiers = [
]
dependencies = [
"agent-framework-core>=1.0.0,<2",
"azure-ai-agentserver-core==2.0.0b1",
"azure-ai-agentserver-responses==1.0.0b1",
"azure-ai-agentserver-invocations==1.0.0b1",
"azure-ai-agentserver-core==2.0.0b2",
"azure-ai-agentserver-responses==1.0.0b4",
"azure-ai-agentserver-invocations==1.0.0b2",
]
[tool.uv]
python/packages/foundry_hosting/tests/test_responses.py
+393
View File
@@ -29,6 +29,7 @@ from azure.ai.agentserver.responses import InMemoryResponseProvider
from typing_extensions import Any
from agent_framework_foundry_hosting import ResponsesHostServer
from agent_framework_foundry_hosting._responses import _to_message # pyright: ignore[reportPrivateUsage]
# region Helpers
@@ -522,3 +523,395 @@ class TestStreaming:
# endregion
# region _to_message conversion
class TestToMessage:
"""Tests for _to_message covering all supported OutputItem types."""
def test_output_message(self) -> None:
from azure.ai.agentserver.responses.models import OutputItemOutputMessage, OutputMessageContentOutputTextContent
item = OutputItemOutputMessage({
"type": "output_message",
"role": "assistant",
"content": [OutputMessageContentOutputTextContent({"type": "output_text", "text": "hello"})],
"status": "completed",
"id": "msg-1",
})
msg = _to_message(item)
assert msg.role == "assistant"
assert len(msg.contents) == 1
assert msg.contents[0].type == "text"
assert msg.contents[0].text == "hello"
def test_message(self) -> None:
from azure.ai.agentserver.responses.models import MessageContentInputTextContent, OutputItemMessage
item = OutputItemMessage({
"type": "message",
"role": "user",
"content": [MessageContentInputTextContent({"type": "input_text", "text": "hi"})],
})
msg = _to_message(item)
assert msg.role == "user"
assert len(msg.contents) == 1
assert msg.contents[0].text == "hi"
def test_function_call(self) -> None:
from azure.ai.agentserver.responses.models import OutputItemFunctionToolCall
item = OutputItemFunctionToolCall({
"type": "function_call",
"call_id": "call_1",
"name": "get_weather",
"arguments": '{"city": "NYC"}',
"status": "completed",
"id": "fc-1",
})
msg = _to_message(item)
assert msg.role == "assistant"
assert msg.contents[0].type == "function_call"
assert msg.contents[0].call_id == "call_1"
assert msg.contents[0].name == "get_weather"
def test_function_call_output(self) -> None:
from azure.ai.agentserver.responses.models import FunctionCallOutputItemParam
item = FunctionCallOutputItemParam({"type": "function_call_output", "call_id": "call_1", "output": "sunny"})
msg = _to_message(item) # type: ignore[arg-type]
assert msg.role == "tool"
assert msg.contents[0].type == "function_result"
assert msg.contents[0].call_id == "call_1"
assert msg.contents[0].result == "sunny"
def test_reasoning(self) -> None:
from azure.ai.agentserver.responses.models import OutputItemReasoningItem, SummaryTextContent
item = OutputItemReasoningItem({
"type": "reasoning",
"id": "r-1",
"summary": [SummaryTextContent({"type": "summary_text", "text": "thinking hard"})],
})
msg = _to_message(item)
assert msg.role == "assistant"
assert len(msg.contents) == 1
assert msg.contents[0].text == "thinking hard"
def test_reasoning_no_summary(self) -> None:
from azure.ai.agentserver.responses.models import OutputItemReasoningItem
item = OutputItemReasoningItem({"type": "reasoning", "id": "r-2"})
msg = _to_message(item)
assert msg.role == "assistant"
assert msg.contents == []
def test_mcp_call(self) -> None:
from azure.ai.agentserver.responses.models import OutputItemMcpToolCall
item = OutputItemMcpToolCall({
"type": "mcp_call",
"id": "mcp-1",
"server_label": "my_server",
"name": "search",
"arguments": '{"q": "test"}',
})
msg = _to_message(item)
assert msg.role == "assistant"
assert msg.contents[0].type == "mcp_server_tool_call"
assert msg.contents[0].server_name == "my_server"
assert msg.contents[0].tool_name == "search"
def test_mcp_approval_request(self) -> None:
from azure.ai.agentserver.responses.models import OutputItemMcpApprovalRequest
item = OutputItemMcpApprovalRequest({
"type": "mcp_approval_request",
"id": "apr-1",
"server_label": "srv",
"name": "dangerous_tool",
"arguments": "{}",
})
msg = _to_message(item)
assert msg.role == "assistant"
assert msg.contents[0].type == "function_approval_request"
def test_mcp_approval_response(self) -> None:
from azure.ai.agentserver.responses.models import OutputItemMcpApprovalResponseResource
item = OutputItemMcpApprovalResponseResource({
"type": "mcp_approval_response",
"id": "resp-1",
"approval_request_id": "apr-1",
"approve": True,
})
msg = _to_message(item)
assert msg.role == "user"
assert msg.contents[0].type == "function_approval_response"
assert msg.contents[0].approved is True
def test_code_interpreter_call(self) -> None:
from azure.ai.agentserver.responses.models import OutputItemCodeInterpreterToolCall
item = OutputItemCodeInterpreterToolCall({
"type": "code_interpreter_call",
"id": "ci-1",
"status": "completed",
"container_id": "c-1",
"code": "print('hi')",
"outputs": [],
})
msg = _to_message(item)
assert msg.role == "assistant"
assert msg.contents[0].type == "code_interpreter_tool_call"
def test_image_generation_call(self) -> None:
from azure.ai.agentserver.responses.models import OutputItemImageGenToolCall
item = OutputItemImageGenToolCall({"type": "image_generation_call", "id": "ig-1", "status": "completed"})
msg = _to_message(item)
assert msg.role == "assistant"
assert msg.contents[0].type == "image_generation_tool_call"
def test_shell_call(self) -> None:
from azure.ai.agentserver.responses.models import (
FunctionShellAction,
FunctionShellCallEnvironment,
OutputItemFunctionShellCall,
)
item = OutputItemFunctionShellCall({
"type": "shell_call",
"id": "sc-1",
"call_id": "call_sc",
"action": FunctionShellAction({"commands": ["ls", "-la"], "timeout_ms": 5000, "max_output_length": 1024}),
"status": "completed",
"environment": FunctionShellCallEnvironment({"type": "local"}),
})
msg = _to_message(item)
assert msg.role == "assistant"
assert msg.contents[0].type == "shell_tool_call"
assert msg.contents[0].commands == ["ls", "-la"]
assert msg.contents[0].call_id == "call_sc"
def test_shell_call_output(self) -> None:
from azure.ai.agentserver.responses.models import (
FunctionShellCallOutputContent,
FunctionShellCallOutputExitOutcome,
OutputItemFunctionShellCallOutput,
)
item = OutputItemFunctionShellCallOutput({
"type": "shell_call_output",
"id": "sco-1",
"call_id": "call_sc",
"status": "completed",
"output": [
FunctionShellCallOutputContent({
"stdout": "file.txt",
"stderr": "",
"outcome": FunctionShellCallOutputExitOutcome({"exit_code": 0}),
})
],
"max_output_length": 1024,
})
msg = _to_message(item)
assert msg.role == "tool"
assert msg.contents[0].type == "shell_tool_result"
assert msg.contents[0].call_id == "call_sc"
def test_local_shell_call(self) -> None:
from azure.ai.agentserver.responses.models import LocalShellExecAction, OutputItemLocalShellToolCall
item = OutputItemLocalShellToolCall({
"type": "local_shell_call",
"id": "lsc-1",
"call_id": "call_lsc",
"action": LocalShellExecAction({"type": "exec", "command": ["echo", "hello"], "env": {}}),
"status": "completed",
})
msg = _to_message(item)
assert msg.role == "assistant"
assert msg.contents[0].type == "shell_tool_call"
assert msg.contents[0].commands == ["echo", "hello"]
def test_local_shell_call_output(self) -> None:
from azure.ai.agentserver.responses.models import OutputItemLocalShellToolCallOutput
item = OutputItemLocalShellToolCallOutput({
"type": "local_shell_call_output",
"id": "lsco-1",
"output": "hello\n",
})
msg = _to_message(item)
assert msg.role == "tool"
assert msg.contents[0].type == "shell_tool_result"
def test_file_search_call(self) -> None:
from azure.ai.agentserver.responses.models import OutputItemFileSearchToolCall
item = OutputItemFileSearchToolCall({
"type": "file_search_call",
"id": "fs-1",
"status": "completed",
"queries": ["what is AI"],
})
msg = _to_message(item)
assert msg.role == "assistant"
assert msg.contents[0].type == "function_call"
assert msg.contents[0].name == "file_search"
assert '"what is AI"' in (msg.contents[0].arguments or "")
def test_web_search_call(self) -> None:
from azure.ai.agentserver.responses.models import OutputItemWebSearchToolCall, WebSearchActionSearch
item = OutputItemWebSearchToolCall({
"type": "web_search_call",
"id": "ws-1",
"status": "completed",
"action": WebSearchActionSearch({"type": "search", "query": "test"}),
})
msg = _to_message(item)
assert msg.role == "assistant"
assert msg.contents[0].type == "function_call"
assert msg.contents[0].name == "web_search"
def test_computer_call(self) -> None:
from azure.ai.agentserver.responses.models import ComputerAction, OutputItemComputerToolCall
item = OutputItemComputerToolCall({
"type": "computer_call",
"id": "cc-1",
"call_id": "call_cc",
"action": ComputerAction({"type": "click"}),
"pending_safety_checks": [],
"status": "completed",
})
msg = _to_message(item)
assert msg.role == "assistant"
assert msg.contents[0].type == "function_call"
assert msg.contents[0].name == "computer_use"
def test_computer_call_output(self) -> None:
from azure.ai.agentserver.responses.models import (
ComputerScreenshotImage,
OutputItemComputerToolCallOutputResource,
)
item = OutputItemComputerToolCallOutputResource({
"type": "computer_call_output",
"call_id": "call_cc",
"output": ComputerScreenshotImage({
"type": "computer_screenshot",
"image_url": "data:image/png;base64,abc",
}),
})
msg = _to_message(item)
assert msg.role == "tool"
assert msg.contents[0].type == "function_result"
assert msg.contents[0].call_id == "call_cc"
def test_custom_tool_call(self) -> None:
from azure.ai.agentserver.responses.models import OutputItemCustomToolCall
item = OutputItemCustomToolCall({
"type": "custom_tool_call",
"call_id": "call_ct",
"name": "my_tool",
"input": '{"key": "value"}',
})
msg = _to_message(item)
assert msg.role == "assistant"
assert msg.contents[0].type == "function_call"
assert msg.contents[0].name == "my_tool"
assert msg.contents[0].arguments == '{"key": "value"}'
def test_custom_tool_call_output(self) -> None:
from azure.ai.agentserver.responses.models import OutputItemCustomToolCallOutput
item = OutputItemCustomToolCallOutput({
"type": "custom_tool_call_output",
"call_id": "call_ct",
"output": "result text",
})
msg = _to_message(item)
assert msg.role == "tool"
assert msg.contents[0].type == "function_result"
assert msg.contents[0].result == "result text"
def test_apply_patch_call(self) -> None:
from azure.ai.agentserver.responses.models import ApplyPatchUpdateFileOperation, OutputItemApplyPatchToolCall
item = OutputItemApplyPatchToolCall({
"type": "apply_patch_call",
"id": "ap-1",
"call_id": "call_ap",
"status": "completed",
"operation": ApplyPatchUpdateFileOperation({
"type": "update_file",
"path": "file.py",
"diff": "+ new line",
}),
})
msg = _to_message(item)
assert msg.role == "assistant"
assert msg.contents[0].type == "function_call"
assert msg.contents[0].name == "apply_patch"
def test_apply_patch_call_output(self) -> None:
from azure.ai.agentserver.responses.models import OutputItemApplyPatchToolCallOutput
item = OutputItemApplyPatchToolCallOutput({
"type": "apply_patch_call_output",
"id": "apo-1",
"call_id": "call_ap",
"status": "completed",
"output": "patch applied",
})
msg = _to_message(item)
assert msg.role == "tool"
assert msg.contents[0].type == "function_result"
assert msg.contents[0].result == "patch applied"
def test_oauth_consent_request(self) -> None:
from azure.ai.agentserver.responses.models import OAuthConsentRequestOutputItem
item = OAuthConsentRequestOutputItem({
"type": "oauth_consent_request",
"id": "oauth-1",
"consent_link": "https://example.com/consent",
"server_label": "my_server",
})
msg = _to_message(item)
assert msg.role == "assistant"
assert msg.contents[0].type == "oauth_consent_request"
assert msg.contents[0].consent_link == "https://example.com/consent"
def test_structured_outputs_dict(self) -> None:
from azure.ai.agentserver.responses.models import StructuredOutputsOutputItem
item = StructuredOutputsOutputItem({"type": "structured_outputs", "id": "so-1", "output": {"answer": 42}})
msg = _to_message(item)
assert msg.role == "assistant"
assert msg.contents[0].type == "text"
assert json.loads(msg.contents[0].text or "") == {"answer": 42}
def test_structured_outputs_string(self) -> None:
from azure.ai.agentserver.responses.models import StructuredOutputsOutputItem
item = StructuredOutputsOutputItem({"type": "structured_outputs", "id": "so-2", "output": "plain text"})
msg = _to_message(item)
assert msg.role == "assistant"
assert msg.contents[0].text == "plain text"
def test_unsupported_type_raises(self) -> None:
from azure.ai.agentserver.responses.models import OutputItem
item = OutputItem({"type": "some_unknown_type"})
with pytest.raises(ValueError, match="Unsupported OutputItem type: some_unknown_type"):
_to_message(item)
# endregion
python/uv.lock
Generated
+12 -18
View File
@@ -513,9 +513,9 @@ dependencies = [
[package.metadata]
requires-dist = [
{ name = "agent-framework-core", editable = "packages/core" },
{ name = "azure-ai-agentserver-core", specifier = "==2.0.0b1" },
{ name = "azure-ai-agentserver-invocations", specifier = "==1.0.0b1" },
{ name = "azure-ai-agentserver-responses", specifier = "==1.0.0b1" },
{ name = "azure-ai-agentserver-core", specifier = "==2.0.0b2" },
{ name = "azure-ai-agentserver-invocations", specifier = "==1.0.0b2" },
{ name = "azure-ai-agentserver-responses", specifier = "==1.0.0b4" },
]
[[package]]
@@ -1034,7 +1034,7 @@ wheels = [
[[package]]
name = "azure-ai-agentserver-core"
version = "2.0.0b1"
version = "2.0.0b2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "azure-monitor-opentelemetry-exporter", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -1044,26 +1044,26 @@ dependencies = [
{ name = "opentelemetry-sdk", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
{ name = "starlette", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/50/a5/8007cc0cbb004290998182f123d6151676fd3cdefaf0bddb2394a6a98278/azure_ai_agentserver_core-2.0.0b1.tar.gz", hash = "sha256:a762186a027586f5c365c096c3fc6ae7dac3b53a3b00b523f0fd9c1d9b8e7bc7", size = 37035, upload-time = "2026-04-15T19:09:40.022Z" }
sdist = { url = "https://files.pythonhosted.org/packages/a0/25/25865cfa76cbc20c18c4e9ed337456fd7374c01e930dd151463b4c183ac0/azure_ai_agentserver_core-2.0.0b2.tar.gz", hash = "sha256:cc6c90fdc4c2b2ce594f0e85288fda84910c04939d1427a64a485b2d48d6d684", size = 41605, upload-time = "2026-04-19T08:58:09.27Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/a1/1c/e917df68bb92239816f5bf177d6885a04c27a51d77f23608b49c60654325/azure_ai_agentserver_core-2.0.0b1-py3-none-any.whl", hash = "sha256:85c3e4470c30451bc122aa7fe009778514b6f0d52897562f4104ce5f9e382ba5", size = 24317, upload-time = "2026-04-15T19:09:41.197Z" },
{ url = "https://files.pythonhosted.org/packages/69/35/cf8a034f86d653fa902edb5ffa0a86005ea941f2840d2fa27302484856c1/azure_ai_agentserver_core-2.0.0b2-py3-none-any.whl", hash = "sha256:931e7a2d82275a01d7eb5ef08a70dba230938e3646be64c03d82749dd7be8afc", size = 27494, upload-time = "2026-04-19T08:58:10.588Z" },
]
[[package]]
name = "azure-ai-agentserver-invocations"
version = "1.0.0b1"
version = "1.0.0b2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "azure-ai-agentserver-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/b4/33/207f901d484646764b5d9eec3f3a02a90658c32aa78821d0221323b01081/azure_ai_agentserver_invocations-1.0.0b1.tar.gz", hash = "sha256:800dd39e32f6e58c0bc56fe74bb77bf4ccda77e133c4eaaa69d7cd8b0bf77a03", size = 29957, upload-time = "2026-04-15T19:35:31.015Z" }
sdist = { url = "https://files.pythonhosted.org/packages/9d/ef/11a161fa400f28390e9885854c434417fbd204ae006ca02b3a45ab285069/azure_ai_agentserver_invocations-1.0.0b2.tar.gz", hash = "sha256:cf352fd11b0057a2af28b1a921c84fb11f2fcbb9b4185cae9d93f2a45980227b", size = 30242, upload-time = "2026-04-19T09:43:31.439Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/52/02/e1dfa6747de27163c16bc4bfbb7aeac2d2bb6565e85ed92a6675ccee1ff8/azure_ai_agentserver_invocations-1.0.0b1-py3-none-any.whl", hash = "sha256:3efa15cc6011ba203760048b0153bd711a75adb56fe9b2a34565145a0fa82b09", size = 11376, upload-time = "2026-04-15T19:35:32.067Z" },
{ url = "https://files.pythonhosted.org/packages/0c/f4/057206e0fca266b30ea68a531fa425078fd883500e779d5552858fe33d5b/azure_ai_agentserver_invocations-1.0.0b2-py3-none-any.whl", hash = "sha256:e799a9e6e54a10499296ee4f61720377fb31f540204832b654bac6f20e801597", size = 11432, upload-time = "2026-04-19T09:43:32.744Z" },
]
[[package]]
name = "azure-ai-agentserver-responses"
version = "1.0.0b1"
version = "1.0.0b4"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "aiohttp", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -1071,9 +1071,9 @@ dependencies = [
{ name = "azure-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
{ name = "isodate", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/cf/68/9a500cf1869d416810c3d856e483d707890686124adf0d35ff5179f59a4a/azure_ai_agentserver_responses-1.0.0b1.tar.gz", hash = "sha256:8af679bc0369f3e2637348b571942b5b41a1bccc5f261d965211e590a191049b", size = 361804, upload-time = "2026-04-15T19:34:19.404Z" }
sdist = { url = "https://files.pythonhosted.org/packages/cc/01/614dafa9366a5bdfe50ec112b15faa57e32a96866796bc2812ba329f4fec/azure_ai_agentserver_responses-1.0.0b4.tar.gz", hash = "sha256:2fa69db26ff52d8d2cd667a1461675e5124aabf8f268b842402e36f50d6c7176", size = 397007, upload-time = "2026-04-20T07:33:18.612Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/41/e8/cf0ac9673b9d8952fd03ee3de9d6d3d51320942ae31b72cdc503f9892d2f/azure_ai_agentserver_responses-1.0.0b1-py3-none-any.whl", hash = "sha256:4d42534b5b6e523219e92d837efde48f76e03882f7013d1fbb4af21e47c6469b", size = 253262, upload-time = "2026-04-15T19:34:21.069Z" },
{ url = "https://files.pythonhosted.org/packages/24/bd/c56df7c9257f10014ae1cd161ac08784bd9fe682233ab1a987c98b5b78c0/azure_ai_agentserver_responses-1.0.0b4-py3-none-any.whl", hash = "sha256:7684c6bef57bdcd1941cce2d6b5e2ea07edd7ce9f90e84f171804cc728b60fcc", size = 263375, upload-time = "2026-04-20T07:33:19.956Z" },
]
[[package]]
@@ -2487,7 +2487,6 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/38/3f/9859f655d11901e7b2996c6e3d33e0caa9a1d4572c3bc61ed0faa64b2f4c/greenlet-3.3.2-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:9bc885b89709d901859cf95179ec9f6bb67a3d2bb1f0e88456461bd4b7f8fd0d", size = 277747, upload-time = "2026-02-20T20:16:21.325Z" },
{ url = "https://files.pythonhosted.org/packages/fb/07/cb284a8b5c6498dbd7cba35d31380bb123d7dceaa7907f606c8ff5993cbf/greenlet-3.3.2-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b568183cf65b94919be4438dc28416b234b678c608cafac8874dfeeb2a9bbe13", size = 579202, upload-time = "2026-02-20T20:47:28.955Z" },
{ url = "https://files.pythonhosted.org/packages/ed/45/67922992b3a152f726163b19f890a85129a992f39607a2a53155de3448b8/greenlet-3.3.2-cp310-cp310-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:527fec58dc9f90efd594b9b700662ed3fb2493c2122067ac9c740d98080a620e", size = 590620, upload-time = "2026-02-20T20:55:55.581Z" },
{ url = "https://files.pythonhosted.org/packages/03/5f/6e2a7d80c353587751ef3d44bb947f0565ec008a2e0927821c007e96d3a7/greenlet-3.3.2-cp310-cp310-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:508c7f01f1791fbc8e011bd508f6794cb95397fdb198a46cb6635eb5b78d85a7", size = 602132, upload-time = "2026-02-20T21:02:43.261Z" },
{ url = "https://files.pythonhosted.org/packages/ad/55/9f1ebb5a825215fadcc0f7d5073f6e79e3007e3282b14b22d6aba7ca6cb8/greenlet-3.3.2-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ad0c8917dd42a819fe77e6bdfcb84e3379c0de956469301d9fd36427a1ca501f", size = 591729, upload-time = "2026-02-20T20:20:58.395Z" },
{ url = "https://files.pythonhosted.org/packages/24/b4/21f5455773d37f94b866eb3cf5caed88d6cea6dd2c6e1f9c34f463cba3ec/greenlet-3.3.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:97245cc10e5515dbc8c3104b2928f7f02b6813002770cfaffaf9a6e0fc2b94ef", size = 1551946, upload-time = "2026-02-20T20:49:31.102Z" },
{ url = "https://files.pythonhosted.org/packages/00/68/91f061a926abead128fe1a87f0b453ccf07368666bd59ffa46016627a930/greenlet-3.3.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8c1fdd7d1b309ff0da81d60a9688a8bd044ac4e18b250320a96fc68d31c209ca", size = 1618494, upload-time = "2026-02-20T20:21:06.541Z" },
@@ -2495,7 +2494,6 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/f3/47/16400cb42d18d7a6bb46f0626852c1718612e35dcb0dffa16bbaffdf5dd2/greenlet-3.3.2-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:c56692189a7d1c7606cb794be0a8381470d95c57ce5be03fb3d0ef57c7853b86", size = 278890, upload-time = "2026-02-20T20:19:39.263Z" },
{ url = "https://files.pythonhosted.org/packages/a3/90/42762b77a5b6aa96cd8c0e80612663d39211e8ae8a6cd47c7f1249a66262/greenlet-3.3.2-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1ebd458fa8285960f382841da585e02201b53a5ec2bac6b156fc623b5ce4499f", size = 581120, upload-time = "2026-02-20T20:47:30.161Z" },
{ url = "https://files.pythonhosted.org/packages/bf/6f/f3d64f4fa0a9c7b5c5b3c810ff1df614540d5aa7d519261b53fba55d4df9/greenlet-3.3.2-cp311-cp311-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:a443358b33c4ec7b05b79a7c8b466f5d275025e750298be7340f8fc63dff2a55", size = 594363, upload-time = "2026-02-20T20:55:56.965Z" },
{ url = "https://files.pythonhosted.org/packages/9c/8b/1430a04657735a3f23116c2e0d5eb10220928846e4537a938a41b350bed6/greenlet-3.3.2-cp311-cp311-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:4375a58e49522698d3e70cc0b801c19433021b5c37686f7ce9c65b0d5c8677d2", size = 605046, upload-time = "2026-02-20T21:02:45.234Z" },
{ url = "https://files.pythonhosted.org/packages/72/83/3e06a52aca8128bdd4dcd67e932b809e76a96ab8c232a8b025b2850264c5/greenlet-3.3.2-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8e2cd90d413acbf5e77ae41e5d3c9b3ac1d011a756d7284d7f3f2b806bbd6358", size = 594156, upload-time = "2026-02-20T20:20:59.955Z" },
{ url = "https://files.pythonhosted.org/packages/70/79/0de5e62b873e08fe3cef7dbe84e5c4bc0e8ed0c7ff131bccb8405cd107c8/greenlet-3.3.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:442b6057453c8cb29b4fb36a2ac689382fc71112273726e2423f7f17dc73bf99", size = 1554649, upload-time = "2026-02-20T20:49:32.293Z" },
{ url = "https://files.pythonhosted.org/packages/5a/00/32d30dee8389dc36d42170a9c66217757289e2afb0de59a3565260f38373/greenlet-3.3.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:45abe8eb6339518180d5a7fa47fa01945414d7cca5ecb745346fc6a87d2750be", size = 1619472, upload-time = "2026-02-20T20:21:07.966Z" },
@@ -2504,7 +2502,6 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/ea/ab/1608e5a7578e62113506740b88066bf09888322a311cff602105e619bd87/greenlet-3.3.2-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:ac8d61d4343b799d1e526db579833d72f23759c71e07181c2d2944e429eb09cd", size = 280358, upload-time = "2026-02-20T20:17:43.971Z" },
{ url = "https://files.pythonhosted.org/packages/a5/23/0eae412a4ade4e6623ff7626e38998cb9b11e9ff1ebacaa021e4e108ec15/greenlet-3.3.2-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3ceec72030dae6ac0c8ed7591b96b70410a8be370b6a477b1dbc072856ad02bd", size = 601217, upload-time = "2026-02-20T20:47:31.462Z" },
{ url = "https://files.pythonhosted.org/packages/f8/16/5b1678a9c07098ecb9ab2dd159fafaf12e963293e61ee8d10ecb55273e5e/greenlet-3.3.2-cp312-cp312-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:a2a5be83a45ce6188c045bcc44b0ee037d6a518978de9a5d97438548b953a1ac", size = 611792, upload-time = "2026-02-20T20:55:58.423Z" },
{ url = "https://files.pythonhosted.org/packages/5c/c5/cc09412a29e43406eba18d61c70baa936e299bc27e074e2be3806ed29098/greenlet-3.3.2-cp312-cp312-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:ae9e21c84035c490506c17002f5c8ab25f980205c3e61ddb3a2a2a2e6c411fcb", size = 626250, upload-time = "2026-02-20T21:02:46.596Z" },
{ url = "https://files.pythonhosted.org/packages/50/1f/5155f55bd71cabd03765a4aac9ac446be129895271f73872c36ebd4b04b6/greenlet-3.3.2-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:43e99d1749147ac21dde49b99c9abffcbc1e2d55c67501465ef0930d6e78e070", size = 613875, upload-time = "2026-02-20T20:21:01.102Z" },
{ url = "https://files.pythonhosted.org/packages/fc/dd/845f249c3fcd69e32df80cdab059b4be8b766ef5830a3d0aa9d6cad55beb/greenlet-3.3.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4c956a19350e2c37f2c48b336a3afb4bff120b36076d9d7fb68cb44e05d95b79", size = 1571467, upload-time = "2026-02-20T20:49:33.495Z" },
{ url = "https://files.pythonhosted.org/packages/2a/50/2649fe21fcc2b56659a452868e695634722a6655ba245d9f77f5656010bf/greenlet-3.3.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:6c6f8ba97d17a1e7d664151284cb3315fc5f8353e75221ed4324f84eb162b395", size = 1640001, upload-time = "2026-02-20T20:21:09.154Z" },
@@ -2513,7 +2510,6 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/ac/48/f8b875fa7dea7dd9b33245e37f065af59df6a25af2f9561efa8d822fde51/greenlet-3.3.2-cp313-cp313-macosx_11_0_universal2.whl", hash = "sha256:aa6ac98bdfd716a749b84d4034486863fd81c3abde9aa3cf8eff9127981a4ae4", size = 279120, upload-time = "2026-02-20T20:19:01.9Z" },
{ url = "https://files.pythonhosted.org/packages/49/8d/9771d03e7a8b1ee456511961e1b97a6d77ae1dea4a34a5b98eee706689d3/greenlet-3.3.2-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ab0c7e7901a00bc0a7284907273dc165b32e0d109a6713babd04471327ff7986", size = 603238, upload-time = "2026-02-20T20:47:32.873Z" },
{ url = "https://files.pythonhosted.org/packages/59/0e/4223c2bbb63cd5c97f28ffb2a8aee71bdfb30b323c35d409450f51b91e3e/greenlet-3.3.2-cp313-cp313-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:d248d8c23c67d2291ffd47af766e2a3aa9fa1c6703155c099feb11f526c63a92", size = 614219, upload-time = "2026-02-20T20:55:59.817Z" },
{ url = "https://files.pythonhosted.org/packages/94/2b/4d012a69759ac9d77210b8bfb128bc621125f5b20fc398bce3940d036b1c/greenlet-3.3.2-cp313-cp313-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:ccd21bb86944ca9be6d967cf7691e658e43417782bce90b5d2faeda0ff78a7dd", size = 628268, upload-time = "2026-02-20T21:02:48.024Z" },
{ url = "https://files.pythonhosted.org/packages/7a/34/259b28ea7a2a0c904b11cd36c79b8cef8019b26ee5dbe24e73b469dea347/greenlet-3.3.2-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b6997d360a4e6a4e936c0f9625b1c20416b8a0ea18a8e19cabbefc712e7397ab", size = 616774, upload-time = "2026-02-20T20:21:02.454Z" },
{ url = "https://files.pythonhosted.org/packages/0a/03/996c2d1689d486a6e199cb0f1cf9e4aa940c500e01bdf201299d7d61fa69/greenlet-3.3.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:64970c33a50551c7c50491671265d8954046cb6e8e2999aacdd60e439b70418a", size = 1571277, upload-time = "2026-02-20T20:49:34.795Z" },
{ url = "https://files.pythonhosted.org/packages/d9/c4/2570fc07f34a39f2caf0bf9f24b0a1a0a47bc2e8e465b2c2424821389dfc/greenlet-3.3.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:1a9172f5bf6bd88e6ba5a84e0a68afeac9dc7b6b412b245dd64f52d83c81e55b", size = 1640455, upload-time = "2026-02-20T20:21:10.261Z" },
@@ -2522,7 +2518,6 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/3f/ae/8bffcbd373b57a5992cd077cbe8858fff39110480a9d50697091faea6f39/greenlet-3.3.2-cp314-cp314-macosx_11_0_universal2.whl", hash = "sha256:8d1658d7291f9859beed69a776c10822a0a799bc4bfe1bd4272bb60e62507dab", size = 279650, upload-time = "2026-02-20T20:18:00.783Z" },
{ url = "https://files.pythonhosted.org/packages/d1/c0/45f93f348fa49abf32ac8439938726c480bd96b2a3c6f4d949ec0124b69f/greenlet-3.3.2-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:18cb1b7337bca281915b3c5d5ae19f4e76d35e1df80f4ad3c1a7be91fadf1082", size = 650295, upload-time = "2026-02-20T20:47:34.036Z" },
{ url = "https://files.pythonhosted.org/packages/b3/de/dd7589b3f2b8372069ab3e4763ea5329940fc7ad9dcd3e272a37516d7c9b/greenlet-3.3.2-cp314-cp314-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:c2e47408e8ce1c6f1ceea0dffcdf6ebb85cc09e55c7af407c99f1112016e45e9", size = 662163, upload-time = "2026-02-20T20:56:01.295Z" },
{ url = "https://files.pythonhosted.org/packages/cd/ac/85804f74f1ccea31ba518dcc8ee6f14c79f73fe36fa1beba38930806df09/greenlet-3.3.2-cp314-cp314-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:e3cb43ce200f59483eb82949bf1835a99cf43d7571e900d7c8d5c62cdf25d2f9", size = 675371, upload-time = "2026-02-20T21:02:49.664Z" },
{ url = "https://files.pythonhosted.org/packages/d2/d8/09bfa816572a4d83bccd6750df1926f79158b1c36c5f73786e26dbe4ee38/greenlet-3.3.2-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:63d10328839d1973e5ba35e98cccbca71b232b14051fd957b6f8b6e8e80d0506", size = 664160, upload-time = "2026-02-20T20:21:04.015Z" },
{ url = "https://files.pythonhosted.org/packages/48/cf/56832f0c8255d27f6c35d41b5ec91168d74ec721d85f01a12131eec6b93c/greenlet-3.3.2-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:8e4ab3cfb02993c8cc248ea73d7dae6cec0253e9afa311c9b37e603ca9fad2ce", size = 1619181, upload-time = "2026-02-20T20:49:36.052Z" },
{ url = "https://files.pythonhosted.org/packages/0a/23/b90b60a4aabb4cec0796e55f25ffbfb579a907c3898cd2905c8918acaa16/greenlet-3.3.2-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:94ad81f0fd3c0c0681a018a976e5c2bd2ca2d9d94895f23e7bb1af4e8af4e2d5", size = 1687713, upload-time = "2026-02-20T20:21:11.684Z" },
@@ -2531,7 +2526,6 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/98/6d/8f2ef704e614bcf58ed43cfb8d87afa1c285e98194ab2cfad351bf04f81e/greenlet-3.3.2-cp314-cp314t-macosx_11_0_universal2.whl", hash = "sha256:e26e72bec7ab387ac80caa7496e0f908ff954f31065b0ffc1f8ecb1338b11b54", size = 286617, upload-time = "2026-02-20T20:19:29.856Z" },
{ url = "https://files.pythonhosted.org/packages/5e/0d/93894161d307c6ea237a43988f27eba0947b360b99ac5239ad3fe09f0b47/greenlet-3.3.2-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8b466dff7a4ffda6ca975979bab80bdadde979e29fc947ac3be4451428d8b0e4", size = 655189, upload-time = "2026-02-20T20:47:35.742Z" },
{ url = "https://files.pythonhosted.org/packages/f5/2c/d2d506ebd8abcb57386ec4f7ba20f4030cbe56eae541bc6fd6ef399c0b41/greenlet-3.3.2-cp314-cp314t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:b8bddc5b73c9720bea487b3bffdb1840fe4e3656fba3bd40aa1489e9f37877ff", size = 658225, upload-time = "2026-02-20T20:56:02.527Z" },
{ url = "https://files.pythonhosted.org/packages/d1/67/8197b7e7e602150938049d8e7f30de1660cfb87e4c8ee349b42b67bdb2e1/greenlet-3.3.2-cp314-cp314t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:59b3e2c40f6706b05a9cd299c836c6aa2378cabe25d021acd80f13abf81181cf", size = 666581, upload-time = "2026-02-20T21:02:51.526Z" },
{ url = "https://files.pythonhosted.org/packages/8e/30/3a09155fbf728673a1dea713572d2d31159f824a37c22da82127056c44e4/greenlet-3.3.2-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b26b0f4428b871a751968285a1ac9648944cea09807177ac639b030bddebcea4", size = 657907, upload-time = "2026-02-20T20:21:05.259Z" },
{ url = "https://files.pythonhosted.org/packages/f3/fd/d05a4b7acd0154ed758797f0a43b4c0962a843bedfe980115e842c5b2d08/greenlet-3.3.2-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:1fb39a11ee2e4d94be9a76671482be9398560955c9e568550de0224e41104727", size = 1618857, upload-time = "2026-02-20T20:49:37.309Z" },
{ url = "https://files.pythonhosted.org/packages/6f/e1/50ee92a5db521de8f35075b5eff060dd43d39ebd46c2181a2042f7070385/greenlet-3.3.2-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:20154044d9085151bc309e7689d6f7ba10027f8f5a8c0676ad398b951913d89e", size = 1680010, upload-time = "2026-02-20T20:21:13.427Z" },