ShellApprovalExtension#
Build extensions, choose hooks, and manage request-scoped state. See the guide.
- class zett_agent.extensions.shell_approval.ShellApprovalExtension(storage=None, *, enabled=True)[source]#
Intercept bash and pause until a trusted external decision arrives.
Multiple shell calls may wait concurrently. Each response is correlated by its own tool-call ID, so approving one call releases that call immediately without waiting for the others.
- Parameters:
storage (ShellApprovalStorage | None)
enabled (bool)
- async on_tool_call(context, call, call_next)[source]#
Approve one shell call, then execute it or raise a normal tool failure.
- Parameters:
context (AgentRunContext)
call (ToolCall)
call_next (ShellCommandNext)
- Return type:
- accept(config, event)#
Claim a matching response and wake its waiter on the Future’s loop.
Usually called by Agent.emit_external_event, not directly by the UI. True means this extension accepted delivery; False leaves other extensions free to recognize the event. Neither argument is modified.
- Parameters:
config (AgentRunConfig | None)
event (ExternalEvent)
- Return type:
bool
- async after_model(context, response)#
Run after the complete assistant message is appended.
- Parameters:
context (AgentRunContext)
response (ModelResponse)
- Return type:
None
- async after_run(context, result)#
Run after a successful final answer is appended.
- Parameters:
context (AgentRunContext)
result (AssistantMessage)
- Return type:
None
- async after_tool(context, call, result, error)#
Inspect or modify a tool result before it is appended.
erroris the original execution exception for a failed result and None after successful execution. Changes made toresultare included in context, persistence, and the next model request. Raising prevents the result from being appended.- Parameters:
context (AgentRunContext)
call (ToolCall)
result (ToolMessage)
error (Exception | None)
- Return type:
None
- async after_turn(context, result)#
Run once the turn’s assistant message and tool results are settled.
resultis the assistant message that opened the turn: either the final answer, or the tool-calling message whose ToolMessages were appended. Every requested call is settled first, including calls that failed, and calls that steering skipped, which arrive as unsuccessful or skipped ToolMessages.Steering that interrupts a turn is accepted while the runtime settles that batch, so its UserMessage is already appended when this hook runs and the steering turn follows as the next turn.
A turn that never completed, because the request failed or was cancelled, has no after_turn call; use on_error and RunCancelledEvent for those paths.
- Parameters:
context (AgentRunContext)
result (AssistantMessage)
- Return type:
None
- async before_model(context, request)#
Inspect the current request before preprocessing a primary model call.
Request fields are frozen. Change messages through
AgentRunContext.add_message()orAgentRunContext.replace_messages(), local tools through context.tools, and provider tools through context.server_tools; the runtime rebuilds these fields before the next hook and before calling the provider. This is a shallow request view, not an immutable copy of each message or tool definition.Examples
Inspect the tools offered in this iteration:
async def before_model(self, context, request): offered = {definition.name for definition in request.tools} if "write_file" in offered: context.add_message( SystemMessage(content="Read existing files before editing."), )
- Parameters:
context (AgentRunContext)
request (ModelRequest)
- Return type:
None
- async before_run(context)#
Run after the transformed user input is appended and published.
- Parameters:
context (AgentRunContext)
- Return type:
None
- async before_tool(context, call)#
Run before one requested tool is invoked.
- Parameters:
context (AgentRunContext)
call (ToolCall)
- Return type:
None
- async before_turn(context)#
Run before this turn’s model call.
Runs after before_run() on the first turn and after the previous turn’s after_turn() on later ones. Model request assembly, compaction, and before_model() follow this hook, so context edited here reaches the provider.
- Parameters:
context (AgentRunContext)
- Return type:
None
- property name: str#
Unique registration identity, defaulting to the concrete class name.
Override with a class attribute or assign an instance name to register independently configured instances of the same extension type.
- async on_compact(context)#
Summarize restored context when a caller asks for compaction.
Agent.compactrestores the session throughon_toolandon_stateexactly as a request does, appends no input message, and makes no primary model call: the only work a compaction pass does is what this hook performs. The default does nothing, so an extension with nothing to compact pays nothing.Examples
Usage:
async def on_compact(self, context): await self.compact(context)
- Parameters:
context (AgentRunContext)
- Return type:
None
- async on_error(context, error)#
Complete active waits with the request’s original error.
- Parameters:
context (AgentRunContext)
error (Exception)
- Return type:
None
- async on_event(context, event)#
Cancel active waits when their request enters CANCELLED.
- Parameters:
context (AgentRunContext)
event (ExtensionEvent)
- Return type:
None
- async on_message(context)#
Transform context.input_message after state restoration, before append.
Replace the pending UserMessage to implement externally selected modes. Do not append or persist it here: the runtime appends the final message exactly once after all input hooks finish. before_run sees that message through
AgentRunContext.add_message()orAgentRunContext.replace_messages(), and persistence subscribers have already received it.- Parameters:
context (AgentRunContext)
- Return type:
None
- async on_model_request(context, request, call_next)#
Wrap one provider request and its complete streamed response.
Pass
request(or a dataclass replacement) tocall_next. The default closes the inner stream so cancellation reaches the provider.- Parameters:
context (AgentRunContext)
request (ModelRequest)
call_next (ModelRequestNext)
- Return type:
AsyncIterator[ModelEvent]
- async on_state(context)#
Restore history and initialize state before any input conversion.
Examples
Usage:
async def on_state(self, context): context.add_message(SystemMessage(content="Use concise answers."), index=0)
- Parameters:
context (AgentRunContext)
- Return type:
None
- async on_success(context, result)#
Run once after all after_run hooks succeed, before RUN_COMPLETED.
This callback observes a completed request, not an intermediate model step. Failed or cancelled requests do not trigger it. Callback errors propagate through on_error and prevent RUN_COMPLETED from being emitted.
Examples
Usage:
async def on_success(self, context, result): await save_answer(context.session_id, result.content)
- Parameters:
context (AgentRunContext)
result (AssistantMessage)
- Return type:
None
- async on_tool(context)#
Register local or provider-hosted tools before context restoration.
All extensions finish this hook before the first on_state() call, so prompt extensions can reliably inspect
context.toolsandcontext.server_toolsas complete request-scoped registries.Examples
Usage:
async def on_tool(self, context): context.register_tool(read_file) context.register_server_tool(ServerToolDefinition(type="web_search"))
- Parameters:
context (AgentRunContext)
- Return type:
None
- property pending: bool#
Return whether this extension is participating in an active request.
The Agent updates this state for every registered extension, including extensions whose hooks are currently idle. One extension instance may be shared by multiple Agents and sessions;
pendingremains true until all requests using that instance have finished, failed, or been cancelled. Persistent data retained between requests does not count.