///|
pub struct Event {
id : @uuid.Uuid
created : @clock.Timestamp
desc : EventDesc
} derive(Eq, Show)///|
pub(all) enum EventDesc {
ModelLoaded(name~ : String)
PreConversation
PostConversation
SystemPromptSet(String?)
MessageUnqueued(id~ : @uuid.Uuid)
MessageQueued(id~ : @uuid.Uuid)
ToolAdded(@tool.ToolDesc)
PreToolCall(@ai.ToolCall)
PostToolCall(@ai.ToolCall, result~ : Result[Json, Json], rendered~ : String)
TokenCounted(Int)
ContextPruned(origin_token_count~ : Int, pruned_token_count~ : Int)
AssistantMessage(
usage~ : @ai.Usage?,
tool_calls~ : Array[@ai.ToolCall],
String
)
UserMessage(String)
Cancelled
Failed(Json)
Pruned(id~ : @uuid.Uuid)
}| Event | Description |
|---|---|
| ModelLoaded | AI model has been loaded |
| PreConversation | Conversation is starting |
| PostConversation | Conversation has ended |
| Cancelled | Agent was cancelled |
| Failed | An error occurred |
| Event | Description |
|---|---|
| SystemPromptSet | System prompt was set/cleared |
| MessageQueued | Message added to pending queue |
| MessageUnqueued | Message moved to processing |
| UserMessage | User or tool message content |
| AssistantMessage | Response from AI model |
| Event | Description |
|---|---|
| ToolAdded | Tool registered with agent |
| PreToolCall | Before tool execution |
| PostToolCall | After tool execution (with result) |
| Event | Description |
|---|---|
| TokenCounted | Token count calculated |
| ContextPruned | Context trimmed for budget |
| Pruned | Specific event pruned from history |
pub fn Event::new(
id~ : @uuid.Uuid,
created? : @clock.Timestamp,
desc : EventDesc,
) -> Event// Is this an incoming/external event?
pub fn Event::is_incoming(self : Event) -> Bool
// Does this event end the conversation?
pub fn Event::is_stopping(self : Event) -> Bool
// Does this event start the conversation?
pub fn Event::is_starting(self : Event) -> Bool
// Is this a cancellation event?
pub fn Event::is_cancellation(self : Event) -> Booltype EventTarget
pub fn EventTarget::new(
uuid? : @uuid.Generator,
clock? : &@clock.Clock
) -> Self raise
pub fn EventTarget::emit(Self, EventDesc, id? : @uuid.Uuid) -> Unit
pub fn EventTarget::add_listener(Self, async (Event) -> Unit) -> Unit
pub async fn EventTarget::start(Self) -> Unit
pub async fn EventTarget::flush(Self) -> Unittype ExternalEventQueue
pub fn ExternalEventQueue::new() -> Self raise
pub fn ExternalEventQueue::poll(Self) -> Array[Event]
pub fn ExternalEventQueue::send(Self, EventDesc) -> UnitModelLoaded
│
▼
SystemPromptSet
│
▼
MessageQueued ──► MessageUnqueued ──► UserMessage
│
▼
PreConversation
│
▼
TokenCounted
│
▼
ContextPruned (if needed)
│
▼
AssistantMessage
│
├──► PreToolCall ──► PostToolCall ──► UserMessage (tool result)
│ │
│ └──► (loop back for more tool calls)
│
▼
PostConversation// Create event target
let target = @event.EventTarget::new()
// Add listener
target.add_listener(fn(event) {
match event.desc {
AssistantMessage(content, ..) => println("AI: \{content}")
PostToolCall(tc, result~, ..) => println("Tool \{tc.name}: \{result}")
_ => ()
}
})
// Start processing events
target.start()
// Emit events
target.emit(UserMessage("Hello!"))
target.emit(AssistantMessage(usage=None, tool_calls=[], "Hi there!"))// add system and user messages
UserMessage (system)
UserMessage (user)
// calling agent.start()
PreConversation
while true {
// poll external events
ExternalEventReceived (if any)
// count tokens before request
TokenCounted
// prune context if necessary
ContextPruned
// receive assistant response
AssistantMessage
// executing tool call
PreToolCall
PostToolCall
UserMessage (tool)
// continue to iterate if there are more messages
}
// conversation ended
PostConversationpub(all) enum EventDesc {
ModelLoaded(name~ : String)
PreConversation
PostConversation
SystemPromptSet(String?)
MessageUnqueued(id~ : Uuid)
MessageQueued(id~ : Uuid)
ToolAdded(ToolDesc)
PreToolCall(ToolCall)
PostToolCall(ToolCall, result~ : Result[Json, Json], rendered~ : String)
TokenCounted(Int)
ContextPruned(origin_token_count~ : Int, pruned_token_count~ : Int)
AssistantMessageDelta(String)
AssistantMessage(usage~ : Usage?, tool_calls~ : Array[ToolCall], String)
UserMessage(String)
Cancelled
Failed(Json)
Pruned(id~ : Uuid)
} derive(Eq)type EventTargetemit() ──▶ [Queue] ──▶ start() ──▶ [Listener 1]
──▶ [Listener 2]
──▶ [Listener N]emitter.add_listener(async fn(event) {
match event {
PostToolCall(call, result~, rendered~) => {
// Log tool call results
println("Tool \(call.name) completed")
}
AssistantMessage(usage~, message~) => {
// Track token usage
if usage is Some(u) {
total_tokens u.total_tokens
}
}
_ => ()
}
})emitter.emit(PreConversation)
emitter.emit(TokenCounted(1500))
emitter.emit(PostConversation)// Ensure all events are processed before saving state
emitter.flush()
save_checkpoint()let emitter = EventTarget::new()
emitter.add_listener(async fn(event) { println(event) })
// Start in background
spawn(() => emitter.start())@async.with_task_group((group) => {
group.spawn_bg(() => { emitter.start() }, no_wait=true)
// ... rest of the application
})type ExternalEventQueuelet queue = ExternalEventQueue::new()
// From external source (e.g., IDE integration)
queue.send(Diagnostics(diagnostics))
// From agent (polling during conversation)
let events = queue.poll() // Returns all pending events// During conversation loop
let external_events = queue.poll()
for event in external_events {
match event {
Cancelled => return // Stop conversation
Diagnostics(d) => process_diagnostics(d)
UserMessage(msg) => handle_message(msg)
}
}// Send IDE diagnostics
queue.send(Diagnostics(diagnostics))
// Request cancellation
queue.send(Cancelled)
// Send user message
queue.send(UserMessage("Stop and explain"))Dependencies