Lifecycle Callbacks

yoagent provides three lifecycle callbacks that let you observe and control the agent loop without modifying its internals.

Callbacks

before_turn

Called before each LLM call. Receives the current message history and the turn number (0-indexed). Return false to end the run: no assistant message is produced for that turn, and AgentEnd still fires.

#![allow(unused)]
fn main() {
let agent = Agent::from_config(ModelConfig::anthropic("claude-sonnet-5", "Claude Sonnet 5"))
    .on_before_turn(|messages, turn| {
        println!("Turn {} starting with {} messages", turn, messages.len());
        turn < 10 // Stop after 10 turns
    });
}

after_turn

Called after each LLM response and tool execution. Receives the updated message history and the turn's token usage.

#![allow(unused)]
fn main() {
use std::sync::{Arc, Mutex};

let total_cost = Arc::new(Mutex::new(0u64));
let cost_tracker = total_cost.clone();

let agent = Agent::from_config(ModelConfig::anthropic("claude-sonnet-5", "Claude Sonnet 5"))
    .on_after_turn(move |_messages, usage| {
        let mut cost = cost_tracker.lock().unwrap();
        *cost += usage.input + usage.output;
        println!("Cumulative tokens: {}", *cost);
    });
}

on_error

Called when a turn ends with StopReason::Error (after any retries are exhausted). Receives the error message string. It is not called for a cancelled run (StopReason::Aborted) or for a provider attempt that is retried.

#![allow(unused)]
fn main() {
let agent = Agent::from_config(ModelConfig::anthropic("claude-sonnet-5", "Claude Sonnet 5"))
    .on_error(|err| {
        eprintln!("LLM error: {}", err);
        // Log to monitoring, send alert, etc.
    });
}

Combining Callbacks

All callbacks are optional and independent:

#![allow(unused)]
fn main() {
let agent = Agent::from_config(ModelConfig::anthropic("claude-sonnet-5", "Claude Sonnet 5"))
    .on_before_turn(|_msgs, turn| turn < 20)
    .on_after_turn(|msgs, usage| {
        println!("Messages: {}, Tokens: {}/{}", msgs.len(), usage.input, usage.output);
    })
    .on_error(|err| eprintln!("Error: {}", err));
}

Async Input Filters

InputFilter is synchronous. A filter that awaits — a moderation API, a classifier — implements AsyncInputFilter instead; it runs in the same ordered list, with the same Pass / Warn / Reject semantics:

#![allow(unused)]
fn main() {
use yoagent::{AsyncInputFilter, FilterResult};

struct Moderation;

#[async_trait::async_trait]
impl AsyncInputFilter for Moderation {
    async fn filter(&self, text: &str) -> FilterResult {
        // call your moderation endpoint; bound its latency yourself
        FilterResult::Pass
    }
}

let agent = agent.with_async_input_filter(Moderation);
}

The examples on this page use plain #[async_trait::async_trait], which builds on native targets only; for wasm32 use the cfg_attr pair in WebAssembly & Cloudflare Workers.

You own the timeout: the loop awaits the filter as long as it takes. A filter that panics is contained and treated as a Reject (fail closed): the run ends with AgentEvent::InputRejected and the agent keeps its tools and history.

For a raw loop, push Arc::new(AsyncFilter::new(Moderation)) onto AgentLoopConfig::input_filters; the loop awaits it through InputFilter::as_async.

A sub-agent takes one too: SubAgentTool::with_async_input_filter(Moderation) screens the task the parent model hands it. A Warn is appended to the task; a Reject means the sub-agent never runs and the tool call fails with the reason, which the parent's model sees.

Input filters see a run's prompts only: messages queued with Agent::steer / Agent::follow_up enter the loop without passing through them. With the decision feature, Agent::with_input_guard is a ready-made input check backed by a decision model, installed as an extension (on_input) that runs after these filters (see Decision Models).

Turn Hooks

A TurnHook is awaited before every LLM request and may return one note to append to that request's latest user turn. The note is transient — never stored in history, never in the system prompt — and a hook returning None leaves the request unchanged.

#![allow(unused)]
fn main() {
use yoagent::{TurnContext, TurnHook};

struct Reminder;

#[async_trait::async_trait]
impl TurnHook for Reminder {
    async fn before_turn(&self, turn: &TurnContext<'_>) -> Option<String> {
        let request = turn.user_request()?;
        request.contains("deploy").then(|| "Deploys need a changelog entry.".to_string())
    }
}

let agent = agent.with_turn_hook(Reminder);
}

The note is on the latest user message; everything before that message is unchanged, so the provider's cached prefix up to it survives (during tool turns, assistant and tool-result messages follow the note). On the next user prompt the previous user message is sent without its note, so that last exchange is re-processed — a cache miss from there, not a cache hit. Keep a note stable within one request (derive it from the user's request, and memoize) so its tool-calling turns cache too. Hooks run once per provider call — a retried request runs them again. A panicking hook is contained. TurnContext::new(..) builds a context to unit-test a hook; latest_user_text() and user_request() skip the user-role messages the loop injects itself (compaction summaries, limit notes, the loop nudge).

Turn hooks reach the loop by wrapping the provider: Agent does this per run, SubAgentTool::with_turn_hook(hook) does it for a sub-agent's own requests, and a raw loop wraps its own with TurnHookProvider::new(provider, vec![Arc::new(hook)]).

TurnContext::user_request_parts() returns the same selection as user_request() as a structured UserRequestParts (latest, reply: Option<ReplyContext { question, earlier_request }>, source: UserRequestSource, run_prompts). Prefer it to parsing the prose of user_request(), whose labels and layout are not a stable format.

Using with AgentLoopConfig

For direct loop usage without the Agent wrapper:

#![allow(unused)]
fn main() {
use std::sync::Arc;
use yoagent::agent_loop::AgentLoopConfig;

let mut config = AgentLoopConfig::new(provider, "model");
config.before_turn = Some(Arc::new(|_msgs, turn| turn < 5));
config.after_turn = Some(Arc::new(|_msgs, _usage| { /* log */ }));
config.on_error = Some(Arc::new(|err| eprintln!("{}", err)));
}

Callback Timing

Loop iteration:
  1. Inject pending messages (steering/follow-up)
  2. Check execution limits
  3. before_turn(messages, turn_number)  <-- return false to abort
  4. Compact context
  5. Stream LLM response (a retryable error closes the attempt with
     MessageEnd(Error) + ProviderRetry, waits, and re-requests; turn hooks
     run again for each attempt)
  6. Check for error/abort → on_error(message) only if StopReason::Error
     (not Aborted) → after_turn(messages, usage) on both
  7. Execute tool calls
  8. Track turn
  9. after_turn(messages, usage)
  10. Emit TurnEnd event