mirror of
https://github.com/microsoft/agent-framework.git
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1e350ea22f
* PR2: Wire context provider pipeline and update all internal consumers - Replace AgentThread with AgentSession across all packages - Replace ContextProvider with BaseContextProvider across all packages - Replace context_provider param with context_providers (Sequence) - Replace thread= with session= in run() signatures - Replace get_new_thread() with create_session() - Add get_session(service_session_id) to agent interface - DurableAgentThread -> DurableAgentSession - Remove _notify_thread_of_new_messages from WorkflowAgent - Wire before_run/after_run context provider pipeline in RawAgent - Auto-inject InMemoryHistoryProvider when no providers configured * fix: update all tests for context provider pipeline, fix lazy-loaders, remove old test files * refactor: update all sample files for context provider pipeline (AgentThread→AgentSession, ContextProvider→BaseContextProvider) * fix: update remaining ag-ui references (client docstring, getting_started sample) * fix: make get_session service_session_id keyword-only to avoid confusion with session_id * refactor: rename _RunContext.thread_messages to session_messages * refactor: remove _threads.py, _memory.py, and old provider files; migrate devui to use plain message lists * rename: remove _new_ prefix from test files * refactor: rewrite SlidingWindowChatMessageStore as SlidingWindowHistoryProvider(InMemoryHistoryProvider) * fix: read full history from session state directly instead of reaching into provider internals * fix: update stale .pyi stubs, sample imports, and README references for new provider types * fix: remove stale message_store, _notify_thread_of_new_messages, and session_id.key references in samples * refactor: merge context_providers and sessions sample folders into sessions, remove aggregate_context_provider * refactor: UserInfoMemory stores state in session.state instead of instance attributes * feat: add Pydantic BaseModel support to session state serialization Pydantic models stored in session.state are now automatically serialized via model_dump() and restored via model_validate() during to_dict()/from_dict() round-trips. Models are auto-registered on first serialization; use register_state_type() for cold-start deserialization. Also export register_state_type as a public API. * fix mem0 * Update sample README links and descriptions for session terminology - Replace 'thread' with 'session' in sample descriptions across all READMEs - Update file links for renamed samples (mem0_sessions, redis_sessions, etc.) - Fix Threads section → Sessions section in main samples/README.md - Update tools, middleware, workflows, durabletask, azure_functions READMEs - Update architecture diagrams in concepts/tools/README.md - Update migration guides (autogen, semantic-kernel) * Fix broken Redis README link to renamed sample * Fix Mem0 OSS client search: pass scoping params as direct kwargs AsyncMemory (OSS) expects user_id/agent_id/run_id as direct kwargs, while AsyncMemoryClient (Platform) expects them in a filters dict. Adds tests for both client types. Port of fix from #3844 to new Mem0ContextProvider. * Fix rebase issues: restore missing _conversation_state.py and checkpoint decode logic - Add back _conversation_state.py (encode/decode_chat_messages) lost in rebase - Fix on_checkpoint_restore to decode cache/conversation with decode_chat_messages - Fix on_checkpoint_restore to use decode_checkpoint_value for pending requests - Add tests/workflow/__init__.py for relative import support - Fix test_agent_executor checkpoint selection (checkpoints[1] not superstep) * Add STORES_BY_DEFAULT ClassVar to skip redundant InMemoryHistoryProvider injection Chat clients that store history server-side by default (OpenAI Responses API, Azure AI Agent) now declare STORES_BY_DEFAULT = True. The agent checks this during auto-injection and skips InMemoryHistoryProvider unless the user explicitly sets store=False. * Fix broken markdown links in azure_ai and redis READMEs * Fix getting-started samples to use session API instead of removed thread/ContextProvider API * updates to workflow as agent * fix group chat import * Rename Thread→Session throughout, fix service_session_id propagation, remove stale AGUIThread - Fix: Propagate conversation_id from ChatResponse back to session.service_session_id in both streaming and non-streaming paths in _agents.py - Rename AgentThreadException → AgentSessionException - Remove stale AGUIThread from ag_ui lazy-loader - Rename use_service_thread → use_service_session in ag-ui package - Rename test functions from *_thread_* to *_session_* - Rename sample files from *_thread* to *_session* - Update docstrings and comments: thread → session - Update _mcp.py kwargs filter: add 'session' alongside 'thread' - Fix ContinuationToken docstring example: thread=thread → session=session - Fix _clients.py docstring: 'Agent threads' → 'Agent sessions' * Fix broken markdown links after thread→session file renames * fix azure ai test
244 lines
8.1 KiB
Python
244 lines
8.1 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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"""Shared test fixtures and stubs for AG-UI tests."""
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import sys
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from collections.abc import AsyncIterable, AsyncIterator, Awaitable, Callable, Mapping, MutableSequence, Sequence
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from types import SimpleNamespace
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from typing import Any, Generic, Literal, cast, overload
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import pytest
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from agent_framework import (
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AgentResponse,
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AgentResponseUpdate,
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AgentSession,
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BaseChatClient,
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ChatOptions,
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ChatResponse,
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ChatResponseUpdate,
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Content,
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Message,
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SupportsAgentRun,
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SupportsChatGetResponse,
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)
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from agent_framework._clients import OptionsCoT
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from agent_framework._middleware import ChatMiddlewareLayer
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from agent_framework._tools import FunctionInvocationLayer
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from agent_framework._types import ResponseStream
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from agent_framework.observability import ChatTelemetryLayer
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if sys.version_info >= (3, 12):
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from typing import override # type: ignore # pragma: no cover
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else:
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from typing_extensions import override # type: ignore[import] # pragma: no cover
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StreamFn = Callable[..., AsyncIterable[ChatResponseUpdate]]
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ResponseFn = Callable[..., Awaitable[ChatResponse]]
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class StreamingChatClientStub(
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ChatMiddlewareLayer[OptionsCoT],
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FunctionInvocationLayer[OptionsCoT],
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ChatTelemetryLayer[OptionsCoT],
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BaseChatClient[OptionsCoT],
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Generic[OptionsCoT],
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):
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"""Typed streaming stub that satisfies SupportsChatGetResponse."""
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def __init__(self, stream_fn: StreamFn, response_fn: ResponseFn | None = None) -> None:
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super().__init__(function_middleware=[])
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self._stream_fn = stream_fn
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self._response_fn = response_fn
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self.last_session: AgentSession | None = None
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self.last_service_session_id: str | None = None
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@overload
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def get_response(
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self,
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messages: str | Message | Sequence[str | Message],
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*,
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stream: Literal[False] = ...,
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options: ChatOptions[Any],
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**kwargs: Any,
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) -> Awaitable[ChatResponse[Any]]: ...
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@overload
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def get_response(
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self,
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messages: str | Message | Sequence[str | Message],
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*,
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stream: Literal[False] = ...,
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options: OptionsCoT | ChatOptions[None] | None = ...,
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**kwargs: Any,
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) -> Awaitable[ChatResponse[Any]]: ...
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@overload
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def get_response(
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self,
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messages: str | Message | Sequence[str | Message],
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*,
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stream: Literal[True],
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options: OptionsCoT | ChatOptions[Any] | None = ...,
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**kwargs: Any,
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) -> ResponseStream[ChatResponseUpdate, ChatResponse[Any]]: ...
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def get_response(
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self,
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messages: str | Message | Sequence[str | Message],
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*,
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stream: bool = False,
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options: OptionsCoT | ChatOptions[Any] | None = None,
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**kwargs: Any,
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) -> Awaitable[ChatResponse[Any]] | ResponseStream[ChatResponseUpdate, ChatResponse[Any]]:
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self.last_session = kwargs.get("session")
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self.last_service_session_id = self.last_session.service_session_id if self.last_session else None
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return cast(
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Awaitable[ChatResponse[Any]] | ResponseStream[ChatResponseUpdate, ChatResponse[Any]],
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super().get_response(
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messages=messages,
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stream=cast(Literal[True, False], stream),
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options=options,
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**kwargs,
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),
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)
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@override
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def _inner_get_response(
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self,
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*,
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messages: Sequence[Message],
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stream: bool = False,
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options: Mapping[str, Any],
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**kwargs: Any,
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) -> Awaitable[ChatResponse] | ResponseStream[ChatResponseUpdate, ChatResponse]:
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if stream:
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def _finalize(updates: Sequence[ChatResponseUpdate]) -> ChatResponse:
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return ChatResponse.from_updates(updates)
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return ResponseStream(self._stream_fn(messages, options, **kwargs), finalizer=_finalize)
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return self._get_response_impl(messages, options, **kwargs)
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async def _get_response_impl(
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self, messages: Sequence[Message], options: Mapping[str, Any], **kwargs: Any
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) -> ChatResponse:
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"""Non-streaming implementation."""
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if self._response_fn is not None:
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return await self._response_fn(messages, options, **kwargs)
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contents: list[Any] = []
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async for update in self._stream_fn(list(messages), dict(options), **kwargs):
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contents.extend(update.contents)
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return ChatResponse(
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messages=[Message(role="assistant", contents=contents)],
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response_id="stub-response",
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)
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def stream_from_updates(updates: list[ChatResponseUpdate]) -> StreamFn:
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"""Create a stream function that yields from a static list of updates."""
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async def _stream(
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messages: MutableSequence[Message], options: dict[str, Any], **kwargs: Any
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) -> AsyncIterator[ChatResponseUpdate]:
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for update in updates:
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yield update
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return _stream
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class StubAgent(SupportsAgentRun):
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"""Minimal SupportsAgentRun stub for orchestrator tests."""
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def __init__(
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self,
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updates: list[AgentResponseUpdate] | None = None,
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*,
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agent_id: str = "stub-agent",
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agent_name: str | None = "stub-agent",
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default_options: Any | None = None,
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client: Any | None = None,
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) -> None:
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self.id = agent_id
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self.name = agent_name
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self.description = "stub agent"
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self.updates = updates or [AgentResponseUpdate(contents=[Content.from_text(text="response")], role="assistant")]
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self.default_options: dict[str, Any] = (
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default_options if isinstance(default_options, dict) else {"tools": None, "response_format": None}
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)
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self.client = client or SimpleNamespace(function_invocation_configuration=None)
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self.messages_received: list[Any] = []
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self.tools_received: list[Any] | None = None
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@overload
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def run(
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self,
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messages: str | Message | Sequence[str | Message] | None = None,
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*,
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stream: Literal[False] = ...,
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session: AgentSession | None = None,
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**kwargs: Any,
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) -> Awaitable[AgentResponse[Any]]: ...
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@overload
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def run(
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self,
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messages: str | Message | Sequence[str | Message] | None = None,
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*,
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stream: Literal[True],
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session: AgentSession | None = None,
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**kwargs: Any,
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) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ...
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def run(
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self,
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messages: str | Message | Sequence[str | Message] | None = None,
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*,
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stream: bool = False,
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session: AgentSession | None = None,
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**kwargs: Any,
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) -> Awaitable[AgentResponse[Any]] | ResponseStream[AgentResponseUpdate, AgentResponse[Any]]:
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if stream:
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async def _stream() -> AsyncIterator[AgentResponseUpdate]:
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self.messages_received = [] if messages is None else list(messages) # type: ignore[arg-type]
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self.tools_received = kwargs.get("tools")
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for update in self.updates:
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yield update
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def _finalize(updates: Sequence[AgentResponseUpdate]) -> AgentResponse:
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return AgentResponse.from_updates(updates)
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return ResponseStream(_stream(), finalizer=_finalize)
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async def _get_response() -> AgentResponse[Any]:
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return AgentResponse(messages=[], response_id="stub-response")
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return _get_response()
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def create_session(self, **kwargs: Any) -> AgentSession:
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return AgentSession()
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# Fixtures
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@pytest.fixture
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def streaming_chat_client_stub() -> type[SupportsChatGetResponse]:
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"""Return the StreamingChatClientStub class for creating test instances."""
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return StreamingChatClientStub # type: ignore[return-value]
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@pytest.fixture
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def stream_from_updates_fixture() -> Callable[[list[ChatResponseUpdate]], StreamFn]:
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"""Return the stream_from_updates helper function."""
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return stream_from_updates
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@pytest.fixture
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def stub_agent() -> type[SupportsAgentRun]:
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"""Return the StubAgent class for creating test instances."""
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return StubAgent # type: ignore[return-value]
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