"""Strands Agent executor for the A2A protocol. This module provides the StrandsA2AExecutor class, which adapts a Strands Agent to be used as an executor in the A2A protocol. It handles the execution of agent requests and the conversion of Strands Agent streamed responses to A2A events. The A2A AgentExecutor ensures clients receive responses for synchronous and streamed requests to the A2AServer. """ import asyncio import base64 import json import logging import mimetypes import uuid import warnings from collections import OrderedDict from collections.abc import Callable from dataclasses import dataclass from typing import Any, Literal, cast from a2a.server.agent_execution import AgentExecutor, RequestContext from a2a.server.events import EventQueue from a2a.server.tasks import TaskUpdater from a2a.types import ( DataPart, FilePart, InternalError, InvalidParamsError, Part, TaskState, TextPart, UnsupportedOperationError, ) from a2a.utils import new_agent_text_message, new_task from a2a.utils.errors import ServerError from ...agent.agent import Agent as SAAgent from ...agent.agent import AgentResult as SAAgentResult from ...session.session_manager import SessionManager from ...types._snapshot import Snapshot from ...types.content import ContentBlock from ...types.interrupt import InterruptResponse, InterruptResponseContent from ...types.media import ( DocumentContent, DocumentSource, ImageContent, ImageSource, VideoContent, VideoSource, ) logger = logging.getLogger(__name__) # A factory that builds a fresh Agent for a given A2A context_id. AgentFactory = Callable[[str], SAAgent] # Key identifying a DataPart that carries a Strands interrupt response. The A2A payload mirrors the # `InterruptResponseContent` type verbatim so the wire contract and the SDK type cannot drift. INTERRUPT_RESPONSE_KEY = "interruptResponse" # Key under which an `input_required` status message advertises the interrupts awaiting an answer. # Each entry carries the `interruptId` that the matching interrupt response must echo back. INTERRUPTS_KEY = "interrupts" # What this executor invokes the agent with: fresh conversational content, or interrupt responses # resuming a task parked in `input_required`. Deliberately narrower than the public `AgentInput`, # which also admits `str`, `Messages`, and `None` — an A2A message only ever converts to these two. # Each arm stays homogeneous because `_InterruptState.resume()` rejects a prompt whose contents are # not all interrupt responses. _AgentPrompt = list[ContentBlock] | list[InterruptResponseContent] def _is_interrupt_resume(prompt: _AgentPrompt) -> bool: """Whether a prompt carries interrupt responses rather than conversational content.""" return bool(prompt) and INTERRUPT_RESPONSE_KEY in prompt[0] def _jsonable(value: Any) -> Any: """Return a value unchanged when it can cross the JSON-RPC boundary, else its string form. An interrupt reason is arbitrary user data. A value the transport cannot encode would otherwise surface only while serializing the response, long after the interrupt details are assembled. """ try: json.dumps(value) except (TypeError, ValueError): return str(value) return value @dataclass class _StreamState: """Per-invocation A2A-compliant streaming state.""" artifact_id: str is_first_chunk: bool = True @dataclass class _ContextEntry: """Per-context bookkeeping for factory mode: a dedicated agent and its serializing lock.""" agent: SAAgent lock: asyncio.Lock class StrandsA2AExecutor(AgentExecutor): """Executor that adapts a Strands Agent to the A2A protocol. Handles agent execution in streaming mode and converts Strands Agent responses to A2A protocol events, supporting the full task lifecycle (failed state, cancellation, and interrupt-based input_required flows). Conversation state is isolated per A2A ``context_id`` so callers in different contexts cannot read or influence each other's history. See ``__init__`` for the two isolation modes (``agent_factory`` and the deprecated single ``agent``). """ # Default formats for each file type when MIME type is unavailable or unrecognized DEFAULT_FORMATS = {"document": "txt", "image": "png", "video": "mp4", "unknown": "txt"} # Handle special cases where format differs from extension FORMAT_MAPPINGS = {"jpg": "jpeg", "htm": "html", "3gp": "three_gp", "3gpp": "three_gp", "3g2": "three_gp"} # Cap on concurrently tracked A2A contexts. Beyond this, the least-recently-used context is # evicted to bound memory in long-running servers. DEFAULT_MAX_CONTEXTS = 1000 def __init__( self, agent: SAAgent | None = None, *, agent_factory: AgentFactory | None = None, enable_a2a_compliant_streaming: bool = False, max_contexts: int = DEFAULT_MAX_CONTEXTS, ): """Initialize a StrandsA2AExecutor. Provide exactly one of ``agent`` or ``agent_factory``: - ``agent_factory`` (recommended): a callable ``(context_id) -> Agent`` invoked once per context to build a dedicated ``Agent``. Each context owns an independent agent and runs under its own lock, so different contexts execute concurrently and never share state. The factory is also where per-context concerns such as a ``session_manager`` are wired. - ``agent`` (deprecated): a single ``Agent`` reused across contexts. Each context's conversation state is swapped on/off this instance under a lock, so requests are serialized. A ``session_manager`` is not supported here, since every context would persist into one interleaved session — use ``agent_factory`` instead. Note: Contexts are keyed on the client-supplied ``context_id``, which is not an authentication boundary. A caller that knows another caller's ``context_id`` can attach to that conversation. Multi-tenant deployments must enforce authenticated identity at the transport/gateway layer. At most ``max_contexts`` contexts are retained; beyond that the least-recently-used is evicted (A2A spec §3.4.1 context cleanup policy) and a later request reusing that ``context_id`` starts fresh. Args: agent: A single Strands Agent. Deprecated; prefer ``agent_factory``. agent_factory: Callable ``(context_id) -> Agent`` building a fresh agent per context. enable_a2a_compliant_streaming: If True, uses A2A-compliant streaming with artifact updates. If False, uses legacy status updates streaming behavior for backwards compatibility. Defaults to False. max_contexts: Maximum number of contexts to retain concurrently; the least-recently- used is evicted beyond this. Must be >= 1. Defaults to ``DEFAULT_MAX_CONTEXTS``. Raises: ValueError: If neither or both of ``agent``/``agent_factory`` are provided, if ``max_contexts`` is less than 1, or if a single ``agent`` has a ``session_manager``. """ if max_contexts < 1: raise ValueError(f"max_contexts must be >= 1, got {max_contexts}") if (agent is None) == (agent_factory is None): raise ValueError("Provide exactly one of 'agent' or 'agent_factory'.") self.enable_a2a_compliant_streaming = enable_a2a_compliant_streaming self._max_contexts = max_contexts self._agent_factory = agent_factory # Guards the per-context bookkeeping maps below. self._contexts_lock = asyncio.Lock() if agent_factory is not None: # Factory mode: a dedicated agent and lock per context. self.agent: SAAgent | None = None self._contexts: OrderedDict[str, _ContextEntry] = OrderedDict() else: # Single-agent mode: reuse one agent, swapping each context's snapshot on/off it. if isinstance(getattr(agent, "_session_manager", None), SessionManager): raise ValueError( "A single 'agent' with a session_manager is not supported: the session manager " "persists every context's messages into one interleaved session. Use " "'agent_factory' to build a per-context agent with its own session_manager." ) warnings.warn( "Passing a single 'agent' to StrandsA2AExecutor is deprecated and will be removed " "in a future version. A single agent serializes all requests; pass 'agent_factory' " "(a callable taking the context_id) instead to isolate conversations per context.", DeprecationWarning, stacklevel=2, ) self.agent = agent self._template_snapshot = self._capture_state(agent) # type: ignore[arg-type] self._snapshots: OrderedDict[str, Snapshot] = OrderedDict() def _capture_state(self, agent: SAAgent) -> Snapshot: """Snapshot an agent's session state.""" return agent.take_snapshot(preset="session") def _restore_state(self, agent: SAAgent, snapshot: Snapshot) -> None: """Load a snapshot into an agent, restoring its session state.""" agent.load_snapshot(snapshot) def _evict_excess_contexts(self) -> None: """Evict least-recently-used contexts beyond ``max_contexts``. Caller holds the lock.""" contexts = self._contexts if self._agent_factory is not None else self._snapshots while len(contexts) > self._max_contexts: evicted_id, _ = contexts.popitem(last=False) logger.debug("context_id=<%s> | evicted least-recently-used A2A context", evicted_id) async def _acquire_context_agent(self, context_id: str) -> tuple[SAAgent, asyncio.Lock]: """Return the dedicated agent and lock for a context, building it on first use (factory mode).""" async with self._contexts_lock: entry = self._contexts.get(context_id) if entry is None: entry = _ContextEntry(agent=self._agent_factory(context_id), lock=asyncio.Lock()) # type: ignore[misc] self._contexts[context_id] = entry self._evict_excess_contexts() else: self._contexts.move_to_end(context_id) return entry.agent, entry.lock async def _run_with_context_agent( self, context_id: str, prompt: _AgentPrompt, invocation_state: dict[str, Any], updater: TaskUpdater, stream_state: _StreamState | None, ) -> None: """Factory mode: run against this context's dedicated agent, serialized only per context.""" agent, lock = await self._acquire_context_agent(context_id) async with lock: await self._stream_agent(agent, prompt, invocation_state, updater, stream_state) async def _run_with_shared_agent( self, context_id: str, prompt: _AgentPrompt, invocation_state: dict[str, Any], updater: TaskUpdater, stream_state: _StreamState | None, ) -> None: """Single-agent mode: swap this context's snapshot on/off the shared agent under a lock.""" async with self._contexts_lock: self._restore_state(self.agent, self._snapshots.get(context_id, self._template_snapshot)) # type: ignore[arg-type] try: await self._stream_agent(self.agent, prompt, invocation_state, updater, stream_state) # type: ignore[arg-type] finally: # Persist updated history (even on error), evict, then reset the agent for the next caller. self._snapshots[context_id] = self._capture_state(self.agent) # type: ignore[arg-type] self._snapshots.move_to_end(context_id) self._evict_excess_contexts() self._restore_state(self.agent, self._template_snapshot) # type: ignore[arg-type] async def _stream_agent( self, agent: SAAgent, prompt: _AgentPrompt, invocation_state: dict[str, Any], updater: TaskUpdater, stream_state: _StreamState | None, ) -> None: """Stream one agent invocation and translate its events to A2A updates. Raises: ServerError: If the input does not match the agent's interrupt state — interrupt responses that name no parked interrupt, or fresh content for a parked task. Both fail before the agent runs, so a parked interrupt survives a rejected resume. """ # Binding is checked here rather than at extraction: the agent, and with it the interrupt # state this request must match, is only resolved once the context's snapshot is restored. if _is_interrupt_resume(prompt): self._validate_interrupt_resume(agent, cast(list[InterruptResponseContent], prompt)) elif agent._interrupt_state.activated: raise ServerError( error=InvalidParamsError( message="Task is awaiting an interrupt response and cannot accept a new message" ) ) from None try: result: SAAgentResult | None = None async for event in agent.stream_async(prompt, invocation_state=invocation_state): if "result" in event: result = event["result"] else: await self._handle_streaming_event(event, updater, stream_state) # Check if agent returned with interrupts (input_required) # Note: stop_reason="interrupt" is the authoritative signal. Even if interrupts # list is empty (edge case), the agent still indicated it needs input. if result is not None and result.stop_reason == "interrupt": await self._handle_interrupt_result(result, updater) else: await self._handle_agent_result(result, updater, stream_state) except Exception: logger.exception("Error in streaming execution") raise async def execute( self, context: RequestContext, event_queue: EventQueue, ) -> None: """Execute a request using the Strands Agent and send the response as A2A events. This method executes the user's input using the Strands Agent in streaming mode and converts the agent's response to A2A events. If the agent raises an exception, the task transitions to the `failed` state. If the agent returns with interrupts, the task transitions to the `input_required` state. Args: context: The A2A request context, containing the user's input and task metadata. event_queue: The A2A event queue used to send response events back to the client. Raises: ServerError: If an unrecoverable error occurs during agent execution setup (e.g., missing input). Agent execution errors are handled gracefully by transitioning the task to the failed state. """ task = context.current_task if not task: task = new_task(context.message) # type: ignore await event_queue.enqueue_event(task) updater = TaskUpdater(event_queue, task.id, task.context_id) try: await self._execute_streaming(context, updater) except ServerError: # Re-raise ServerErrors (setup failures like missing input) raise except asyncio.CancelledError: # asyncio.CancelledError is a BaseException (not Exception) — raised when # the asyncio task is cancelled (e.g., HTTP client disconnect, server shutdown). # We transition to canceled state so the task doesn't remain a zombie in "working". logger.warning("task_id=<%s> | asyncio task cancelled, transitioning to canceled state", task.id) try: await updater.cancel( message=updater.new_agent_message( parts=[Part(root=TextPart(text="Task cancelled due to connection termination"))] ) ) except RuntimeError: # Task already in terminal state logger.debug("task_id=<%s> | task already in terminal state, cannot transition to canceled", task.id) raise except Exception: # Agent execution failures transition to failed state logger.exception("task_id=<%s> | agent execution failed, transitioning to failed state", task.id) try: await updater.failed( message=updater.new_agent_message(parts=[Part(root=TextPart(text="Agent execution failed"))]) ) except RuntimeError: # Task already in terminal state (e.g., completed before error in cleanup) logger.debug("task_id=<%s> | task already in terminal state, cannot transition to failed", task.id) async def _execute_streaming(self, context: RequestContext, updater: TaskUpdater) -> None: """Execute request in streaming mode. Streams the agent's response in real-time, sending incremental updates as they become available from the agent. Args: context: The A2A request context, containing the user's input and other metadata. updater: The task updater for managing task state and sending updates. Raises: ServerError: If input conversion fails (missing or empty content), or if the message carries malformed interrupt responses. """ if not (context.message and hasattr(context.message, "parts")): raise ServerError(error=InternalError(message="Request message is missing or has no parts")) from None # Interrupt responses resume a parked task, so they are recognized before the generic # conversion below would flatten them into text. prompt: _AgentPrompt | None = self._extract_interrupt_responses(context.message.parts) if prompt is None: prompt = self._convert_a2a_parts_to_content_blocks(context.message.parts) if not prompt: raise ServerError( error=InternalError(message="No valid content found in request message parts") ) from None if not self.enable_a2a_compliant_streaming: warnings.warn( "The default A2A response stream implemented in the strands sdk does not conform to " "what is expected in the A2A spec. Please set the `enable_a2a_compliant_streaming` " "boolean to `True` on your `A2AServer` class to properly conform to the spec. " "In the next major version release, this will be the default behavior.", UserWarning, stacklevel=3, ) # Per-invocation streaming state (None in legacy mode). stream_state = _StreamState(artifact_id=str(uuid.uuid4())) if self.enable_a2a_compliant_streaming else None # Forward the A2A RequestContext so downstream tools and hooks can read request metadata. invocation_state: dict[str, Any] = {"a2a_request_context": context} # The framework always populates context_id before execute() runs; isolation is keyed on it. context_id = context.context_id if not context_id: raise ServerError(error=InternalError(message="Request is missing a context_id")) from None if self._agent_factory is not None: await self._run_with_context_agent(context_id, prompt, invocation_state, updater, stream_state) else: await self._run_with_shared_agent(context_id, prompt, invocation_state, updater, stream_state) async def _handle_interrupt_result(self, result: SAAgentResult, updater: TaskUpdater) -> None: """Handle an agent result that contains interrupts. When the Strands Agent returns with stop_reason="interrupt", this maps to the A2A `input_required` state. The interrupt details are communicated to the client via the status message. The details are carried twice: a TextPart describing what is needed, and a DataPart holding each interrupt's id. Only the id lets a client address its response back to the interrupt that raised it, and an id is generated server-side so it cannot be inferred from the prose. Args: result: The agent result containing interrupts. updater: The task updater for managing task state. """ # Build a descriptive message about what input is needed interrupt_descriptions = [] pending_interrupts: list[dict[str, Any]] = [] for interrupt in result.interrupts or []: desc = f"- {interrupt.name}" if interrupt.reason: desc += f": {interrupt.reason}" interrupt_descriptions.append(desc) pending_interrupts.append( {"interruptId": interrupt.id, "name": interrupt.name, "reason": _jsonable(interrupt.reason)} ) if interrupt_descriptions: input_message = "Agent requires input:\n" + "\n".join(interrupt_descriptions) else: # Edge case: stop_reason="interrupt" but no interrupt details provided. # Still transition to input_required — the agent signaled it needs input. input_message = "Agent requires additional input to continue" # The TextPart stays first so clients that only read prose are unaffected. parts = [Part(root=TextPart(text=input_message))] if pending_interrupts: parts.append(Part(root=DataPart(data={INTERRUPTS_KEY: pending_interrupts}))) await updater.requires_input(message=updater.new_agent_message(parts=parts)) async def _handle_streaming_event( self, event: dict[str, Any], updater: TaskUpdater, stream_state: _StreamState | None ) -> None: """Handle a single streaming event from the Strands Agent. Processes streaming events from the agent, converting data chunks to A2A task updates and handling the final result when streaming is complete. Args: event: The streaming event from the agent, containing either 'data' for incremental content or 'result' for the final response. updater: The task updater for managing task state and sending updates. stream_state: Per-invocation streaming state when A2A-compliant streaming is enabled, else None. """ logger.debug("Streaming event: %s", event) if "data" in event: if text_content := event["data"]: if stream_state is not None: await updater.add_artifact( [Part(root=TextPart(text=text_content))], artifact_id=stream_state.artifact_id, name="agent_response", append=not stream_state.is_first_chunk, ) stream_state.is_first_chunk = False else: # Legacy use update_status with agent message await updater.update_status( TaskState.working, new_agent_text_message( text_content, updater.context_id, updater.task_id, ), ) async def _handle_agent_result( self, result: SAAgentResult | None, updater: TaskUpdater, stream_state: _StreamState | None ) -> None: """Handle the final result from the Strands Agent. For A2A-compliant streaming: sends the final artifact chunk marker and marks the task as complete. If no data chunks were previously sent, includes the result content. For legacy streaming: adds the final result as a simple artifact without artifact_id tracking. Args: result: The agent result object containing the final response, or None if no result. updater: The task updater for managing task state and adding the final artifact. stream_state: Per-invocation streaming state when A2A-compliant streaming is enabled, else None. """ if stream_state is not None: if stream_state.is_first_chunk: final_content = str(result) if result else "" await updater.add_artifact( [Part(root=TextPart(text=final_content))], artifact_id=stream_state.artifact_id, name="agent_response", last_chunk=True, ) else: await updater.add_artifact( [Part(root=TextPart(text=""))], artifact_id=stream_state.artifact_id, name="agent_response", append=True, last_chunk=True, ) elif final_content := str(result): await updater.add_artifact( [Part(root=TextPart(text=final_content))], name="agent_response", ) await updater.complete() async def cancel(self, context: RequestContext, event_queue: EventQueue) -> None: """Cancel an ongoing execution. Transitions the task to the canceled state and attempts to stop the agent. The agent's cancel() method is called to signal cooperative cancellation of in-flight execution. Note: This transitions the A2A task state. The underlying agent execution may still complete its current model call before stopping. Args: context: The A2A request context. event_queue: The A2A event queue. Raises: ServerError: If no current task exists or the task is already in a terminal state. """ task = context.current_task if not task: logger.warning("context_id=<%s> | cancel requested but no current task found", context.context_id) raise ServerError(error=UnsupportedOperationError()) from None # Cooperatively cancel the agent's execution (best-effort). In factory mode, resolve the # agent for this context; in single-agent mode, the shared agent. target_agent = self.agent if self._agent_factory is not None: entry = self._contexts.get(context.context_id) if context.context_id else None target_agent = entry.agent if entry is not None else None if target_agent is not None: try: target_agent.cancel() except Exception: logger.debug("task_id=<%s> | agent cancel signal failed (non-critical)", task.id) updater = TaskUpdater(event_queue, task.id, task.context_id) try: await updater.cancel( message=updater.new_agent_message(parts=[Part(root=TextPart(text="Task cancelled by client request"))]) ) except RuntimeError: # TaskUpdater raises RuntimeError when task is already in a terminal state logger.warning("task_id=<%s> | cannot cancel, already in terminal state", task.id) raise ServerError(error=UnsupportedOperationError()) from None def _get_file_type_from_mime_type(self, mime_type: str | None) -> Literal["document", "image", "video", "unknown"]: """Classify file type based on MIME type. Args: mime_type: The MIME type of the file Returns: The classified file type """ if not mime_type: return "unknown" mime_type = mime_type.lower() if mime_type.startswith("image/"): return "image" elif mime_type.startswith("video/"): return "video" elif ( mime_type.startswith("text/") or mime_type.startswith("application/") or mime_type in ["application/pdf", "application/json", "application/xml"] ): return "document" else: return "unknown" def _get_file_format_from_mime_type(self, mime_type: str | None, file_type: str) -> str: """Extract file format from MIME type using Python's mimetypes library. Args: mime_type: The MIME type of the file file_type: The classified file type (image, video, document, txt) Returns: The file format string """ if not mime_type: return self.DEFAULT_FORMATS.get(file_type, "txt") mime_type = mime_type.lower() # Extract subtype from MIME type and check existing format mappings if "/" in mime_type: subtype = mime_type.split("/")[-1] if subtype in self.FORMAT_MAPPINGS: return self.FORMAT_MAPPINGS[subtype] # Use mimetypes library to find extensions for the MIME type extensions = mimetypes.guess_all_extensions(mime_type) if extensions: extension = extensions[0][1:] # Remove the leading dot return self.FORMAT_MAPPINGS.get(extension, extension) # Fallback to defaults for unknown MIME types return self.DEFAULT_FORMATS.get(file_type, "txt") def _strip_file_extension(self, file_name: str) -> str: """Strip the file extension from a file name. Args: file_name: The original file name with extension Returns: The file name without extension """ if "." in file_name: return file_name.rsplit(".", 1)[0] return file_name def _extract_interrupt_responses(self, parts: list[Part]) -> list[InterruptResponseContent] | None: """Extract Strands interrupt responses from inbound A2A message parts. A client resumes a task parked in ``input_required`` by sending a DataPart shaped like the Strands ``InterruptResponseContent`` type:: {"kind": "data", "data": {"interruptResponse": {"interruptId": "", "response": }}} Recognition is deliberately narrow: only the explicit shape above is treated as a resume, so an ordinary DataPart still reaches the generic content-block path unchanged. Args: parts: List of A2A Part objects from the inbound message. Returns: The interrupt responses carried by ``parts``, or None when none are present and the caller should fall back to generic content-block conversion. Raises: ServerError: If an interrupt response is malformed, carries a null response, repeats an interrupt id, or is accompanied by unrelated content in the same message. """ responses: list[InterruptResponseContent] = [] seen_ids: set[str] = set() unrelated_parts = 0 for part in parts: part_root = part.root data = part_root.data if isinstance(part_root, DataPart) else None if not isinstance(data, dict) or INTERRUPT_RESPONSE_KEY not in data: unrelated_parts += 1 continue response = data[INTERRUPT_RESPONSE_KEY] if not isinstance(response, dict): raise ServerError( error=InvalidParamsError( message=f"'{INTERRUPT_RESPONSE_KEY}' must be an object with 'interruptId' and 'response'" ) ) from None interrupt_id = response.get("interruptId") if not isinstance(interrupt_id, str) or not interrupt_id: raise ServerError( error=InvalidParamsError(message="Interrupt response is missing a non-empty 'interruptId'") ) from None # `Interrupt.response` of None means "not yet answered", so a null answer would leave # the interrupt unsatisfied and re-raise it — the client would see an identical # input_required and no error. Falsy answers such as False are fine. if response.get("response") is None: raise ServerError( error=InvalidParamsError( message=f"Interrupt response for '{interrupt_id}' must provide a non-null 'response'" ) ) from None # Two answers for one interrupt are ambiguous; reject rather than silently choosing one. if interrupt_id in seen_ids: raise ServerError( error=InvalidParamsError(message=f"Duplicate interrupt response for '{interrupt_id}'") ) from None seen_ids.add(interrupt_id) responses.append( InterruptResponseContent( interruptResponse=InterruptResponse(interruptId=interrupt_id, response=response["response"]) ) ) if not responses: return None # The agent resumes from interrupt responses alone; delivering both would mean dropping the # conversational content, which is exactly the silent behavior the resume path must avoid. if unrelated_parts: raise ServerError( error=InvalidParamsError( message="A message carrying interrupt responses must not contain other content parts" ) ) from None logger.debug("interrupt_ids=<%s> | extracted interrupt responses from request", sorted(seen_ids)) return responses def _validate_interrupt_resume(self, agent: SAAgent, responses: list[InterruptResponseContent]) -> None: """Verify interrupt responses bind to interrupts actually parked on this context's agent. Args: agent: The agent serving this context, with its interrupt state already restored. responses: Interrupt responses extracted from the inbound message. Raises: ServerError: If the agent holds no parked interrupts, or a response names an interrupt the agent is not waiting on. """ interrupt_state = agent._interrupt_state if not interrupt_state.activated: raise ServerError( error=InvalidParamsError(message="Received interrupt responses but no interrupt is pending") ) from None unknown_ids = sorted( content["interruptResponse"]["interruptId"] for content in responses if content["interruptResponse"]["interruptId"] not in interrupt_state.interrupts ) if unknown_ids: raise ServerError( error=InvalidParamsError(message=f"No pending interrupt matches id(s): {', '.join(unknown_ids)}") ) from None def _convert_a2a_parts_to_content_blocks(self, parts: list[Part]) -> list[ContentBlock]: """Convert A2A message parts to Strands ContentBlocks. Args: parts: List of A2A Part objects Returns: List of Strands ContentBlock objects """ content_blocks: list[ContentBlock] = [] for part in parts: try: part_root = part.root if isinstance(part_root, TextPart): # Handle TextPart content_blocks.append(ContentBlock(text=part_root.text)) elif isinstance(part_root, FilePart): # Handle FilePart file_obj = part_root.file mime_type = getattr(file_obj, "mime_type", None) raw_file_name = getattr(file_obj, "name", "FileNameNotProvided") file_name = self._strip_file_extension(raw_file_name) file_type = self._get_file_type_from_mime_type(mime_type) file_format = self._get_file_format_from_mime_type(mime_type, file_type) # Handle FileWithBytes vs FileWithUri bytes_data = getattr(file_obj, "bytes", None) uri_data = getattr(file_obj, "uri", None) if bytes_data: try: # A2A bytes are always base64-encoded strings decoded_bytes = base64.b64decode(bytes_data) except Exception as e: raise ValueError(f"Failed to decode base64 data for file '{raw_file_name}': {e}") from e if file_type == "image": content_blocks.append( ContentBlock( image=ImageContent( format=file_format, # type: ignore source=ImageSource(bytes=decoded_bytes), ) ) ) elif file_type == "video": content_blocks.append( ContentBlock( video=VideoContent( format=file_format, # type: ignore source=VideoSource(bytes=decoded_bytes), ) ) ) else: # document or unknown content_blocks.append( ContentBlock( document=DocumentContent( format=file_format, # type: ignore name=file_name, source=DocumentSource(bytes=decoded_bytes), ) ) ) # Handle FileWithUri elif uri_data: # For URI files, create a text representation since Strands ContentBlocks expect bytes content_blocks.append( ContentBlock(text=f"[File: {file_name} ({mime_type})] - Referenced file at: {uri_data}") ) elif isinstance(part_root, DataPart): # Handle DataPart - convert structured data to JSON text try: data_text = json.dumps(part_root.data, indent=2) content_blocks.append(ContentBlock(text=f"[Structured Data]\n{data_text}")) except Exception: logger.exception("Failed to serialize data part") except Exception: logger.exception("Error processing part") return content_blocks