agent/agent-framework
2
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: [BREAKING]: Introducing Options as TypedDict and Generic (#3140)

Browse Source 
* WIP typeddict for options

* updated all clients and ChatAgents

* updated everything

* added ADR

* fix mypy

* proper typevar imports

* fixed import

* fixed other imports

* slight update in the sample

* updated from feedback

* fixes

* fixed missing covariants and test fixes

* fixed typing

* updated anthropic thinking config

* ruff fixes

* fixed int tests

* fix tests and mypy

* updated integration tests

* updated docstring and test fix

* improved options handling in obser

* mypy fix

* updated a host of integration tests

* fix tests

* bedrock fix
This commit is contained in:
Eduard van Valkenburg
2026-01-13 17:41:05 +01:00
committed by GitHub
Unverified
parent 5faa2851bb
commit 3e97425245
111 changed files with 6141 additions and 4715 deletions
Download Patch File Download Diff File Expand all files Collapse all files
python/packages/azurefunctions/agent_framework_azurefunctions/_entities.py
+3 -3
View File
@@ -153,11 +153,11 @@ class AgentEntity:
for m in entry.messages
]
run_kwargs: dict[str, Any] = {"messages": chat_messages}
run_kwargs: dict[str, Any] = {"messages": chat_messages, "options": {}}
if not enable_tool_calls:
run_kwargs["tools"] = None
run_kwargs["options"]["tools"] = None
if response_format:
run_kwargs["response_format"] = response_format
run_kwargs["options"]["response_format"] = response_format
agent_run_response: AgentRunResponse = await self._invoke_agent(
run_kwargs=run_kwargs,
python/packages/azurefunctions/agent_framework_azurefunctions/_orchestration.py
+4 -4
View File
@@ -6,7 +6,7 @@ This module provides support for using agents inside Durable Function orchestrat
"""
import uuid
from collections.abc import AsyncIterator, Callable
from collections.abc import AsyncIterator, Callable, Sequence
from typing import TYPE_CHECKING, Any, TypeAlias, cast
from agent_framework import (
@@ -193,7 +193,7 @@ class DurableAIAgent(AgentProtocol):
# a typed AgentRunResponse result.
def run( # type: ignore[override]
self,
messages: str | ChatMessage | list[str] | list[ChatMessage] | None = None,
messages: str | ChatMessage | Sequence[str | ChatMessage] | None = None,
*,
thread: AgentThread | None = None,
response_format: type[BaseModel] | None = None,
@@ -282,7 +282,7 @@ class DurableAIAgent(AgentProtocol):
def run_stream(
self,
messages: str | ChatMessage | list[str] | list[ChatMessage] | None = None,
messages: str | ChatMessage | Sequence[str | ChatMessage] | None = None,
*,
thread: AgentThread | None = None,
**kwargs: Any,
@@ -327,7 +327,7 @@ class DurableAIAgent(AgentProtocol):
"""
return "\n".join([msg.text or "" for msg in messages])
def _normalize_messages(self, messages: str | ChatMessage | list[str] | list[ChatMessage] | None) -> str:
def _normalize_messages(self, messages: str | ChatMessage | Sequence[str | ChatMessage] | None) -> str:
"""Convert supported message inputs to a single string."""
if messages is None:
return ""