mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
Python: Agent and Function middleware (#770)
* Initial middleware implementation
* Small fixes
* Small updates
* Small updates in samples
* Moved middleware functionality to decorator
* Removed obsolete file
* Renamed AgentInvocationContext to AzureRunContext
* Added unit tests
* Small settings update for test discovery in VS Code
* Added unit tests
* Reverted changes in environment settings
* Added context result override
* Renaming and updates to logic
* Added more samples
* Updated DEV_SETUP.md
* Addressed PR feedback
* Addressed PR feedback
* Removed unused parameter
* Small fix
* Small fix in telemetry logic
* Revert "Small fix in telemetry logic"
This reverts commit 6f82660d2d.
* Small fix
---------
Co-authored-by: Chris <66376200+crickman@users.noreply.github.com>
This commit is contained in:
committed by
GitHub
Unverified
parent
538be4c149
commit
99860a5d07
@@ -576,6 +576,7 @@ async def _auto_invoke_function(
|
||||
tool_map: dict[str, AIFunction[BaseModel, Any]],
|
||||
sequence_index: int | None = None,
|
||||
request_index: int | None = None,
|
||||
middleware_pipeline: Any = None, # Optional MiddlewarePipeline
|
||||
) -> "Contents":
|
||||
"""Invoke a function call requested by the agent, applying filters that are defined in the agent."""
|
||||
from ._types import FunctionResultContent
|
||||
@@ -590,14 +591,43 @@ async def _auto_invoke_function(
|
||||
merged_args: dict[str, Any] = (custom_args or {}) | parsed_args
|
||||
args = tool.input_model.model_validate(merged_args)
|
||||
exception = None
|
||||
try:
|
||||
function_result = await tool.invoke(
|
||||
|
||||
# Execute through middleware pipeline if available
|
||||
if middleware_pipeline and hasattr(middleware_pipeline, "has_middlewares") and middleware_pipeline.has_middlewares:
|
||||
from ._middleware import FunctionInvocationContext
|
||||
|
||||
middleware_context = FunctionInvocationContext(
|
||||
function=tool,
|
||||
arguments=args,
|
||||
tool_call_id=function_call_content.call_id,
|
||||
) # type: ignore[arg-type]
|
||||
except Exception as ex:
|
||||
exception = ex
|
||||
function_result = None
|
||||
)
|
||||
|
||||
async def final_function_handler(context_obj: Any) -> Any:
|
||||
return await tool.invoke(
|
||||
arguments=context_obj.arguments,
|
||||
tool_call_id=function_call_content.call_id,
|
||||
)
|
||||
|
||||
try:
|
||||
function_result = await middleware_pipeline.execute(
|
||||
function=tool,
|
||||
arguments=args,
|
||||
context=middleware_context,
|
||||
final_handler=final_function_handler,
|
||||
)
|
||||
except Exception as ex:
|
||||
exception = ex
|
||||
function_result = None
|
||||
else:
|
||||
# No middleware - execute directly
|
||||
try:
|
||||
function_result = await tool.invoke(
|
||||
arguments=args,
|
||||
tool_call_id=function_call_content.call_id,
|
||||
) # type: ignore[arg-type]
|
||||
except Exception as ex:
|
||||
exception = ex
|
||||
function_result = None
|
||||
|
||||
return FunctionResultContent(
|
||||
call_id=function_call_content.call_id,
|
||||
exception=exception,
|
||||
@@ -631,6 +661,7 @@ async def execute_function_calls(
|
||||
| Callable[..., Any] \
|
||||
| MutableMapping[str, Any] \
|
||||
| list[ToolProtocol | Callable[..., Any] | MutableMapping[str, Any]]",
|
||||
middleware_pipeline: Any = None, # Optional MiddlewarePipeline to avoid circular imports
|
||||
) -> list["Contents"]:
|
||||
tool_map = _get_tool_map(tools)
|
||||
# Run all function calls concurrently
|
||||
@@ -641,6 +672,7 @@ async def execute_function_calls(
|
||||
tool_map=tool_map,
|
||||
sequence_index=seq_idx,
|
||||
request_index=attempt_idx,
|
||||
middleware_pipeline=middleware_pipeline,
|
||||
)
|
||||
for seq_idx, function_call in enumerate(function_calls)
|
||||
])
|
||||
@@ -706,11 +738,14 @@ def _handle_function_calls_response(
|
||||
if not tools and (chat_options := kwargs.get("chat_options")) and isinstance(chat_options, ChatOptions):
|
||||
tools = chat_options.tools
|
||||
if function_calls and tools:
|
||||
# Extract function middleware pipeline from kwargs if available
|
||||
middleware_pipeline = kwargs.get("_function_middleware_pipeline")
|
||||
function_results = await execute_function_calls(
|
||||
custom_args=kwargs,
|
||||
attempt_idx=attempt_idx,
|
||||
function_calls=function_calls,
|
||||
tools=tools, # type: ignore
|
||||
middleware_pipeline=middleware_pipeline,
|
||||
)
|
||||
# add a single ChatMessage to the response with the results
|
||||
result_message = ChatMessage(role="tool", contents=function_results) # type: ignore[call-overload]
|
||||
@@ -815,11 +850,14 @@ def _handle_function_calls_streaming_response(
|
||||
tools = chat_options.tools
|
||||
|
||||
if function_calls and tools:
|
||||
# Extract function middleware pipeline from kwargs if available
|
||||
middleware_pipeline = kwargs.get("_function_middleware_pipeline")
|
||||
function_results = await execute_function_calls(
|
||||
custom_args=kwargs,
|
||||
attempt_idx=attempt_idx,
|
||||
function_calls=function_calls,
|
||||
tools=tools, # type: ignore[reportArgumentType]
|
||||
middleware_pipeline=middleware_pipeline,
|
||||
)
|
||||
function_result_msg = ChatMessage(role="tool", contents=function_results)
|
||||
yield ChatResponseUpdate(contents=function_results, role="tool")
|
||||
|
||||
Reference in New Issue
Block a user