fix(chat-state): reasoning estimate and calibration reseed on every rewrite

A Reasoning item counted its text and its encrypted blob as two separate
payloads, inflating the estimate for retained reasoning; the estimate now
takes the larger of the two (base64 runs 4/3 over the raw bytes).

Only compaction carried the provider-confirmed ratio into the reseeded
total; a rewind or a non-compaction replace sprang the context meter back
to the raw estimate. reseed_total_tokens applies the ratio (capped at the
pre-rewrite total) to every rewrite, and the truncate path uses it too.

Ported from upstream 1.0.1x (grok-build xai-chat-state actor/state.rs,
mutations.rs, queries.rs).

Claude-Session: https://claude.ai/code/session_01RUqV8HVGXcAETyYbZ2tPQ4
This commit is contained in:
雷电芽衣 committed 2026-09-13 07:24:07 -04:00
1 parent 00a5e318bb
commit fc7113ba3c
4 files changed
+73 -33

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@@ -390,14 +390,24 @@ impl ChatStateActor {
});
}
/// Replace the entire conversation, persist, re-estimate `total_tokens`,
/// and emit reset + token-update events.
///
/// Compaction replaces carry the provider-side overhead forward as a
/// *ratio* (`base_estimate × provider_total ÷ estimate_at_last_response`,
/// capped at the pre-compaction total; `base_estimate` when that estimate is
/// 0) so the reseed neither springs back nor over-counts (see
/// `COMPACTION.md`).
/// Reseed after a rewrite: the raw estimate scaled by the provider-confirmed ratio, capped at the pre-rewrite total (see COMPACTION.md).
pub(super) fn reseed_total_tokens(&self, base_estimate: u64) -> u64 {
let pre_replace_total = self.state.total_tokens;
let mut estimated_tokens =
if pre_replace_total > 0 && self.state.estimate_at_last_response > 0 {
let ratio = pre_replace_total as f64 / self.state.estimate_at_last_response as f64;
(base_estimate as f64 * ratio).round() as u64
} else {
base_estimate
};
// Over-counting fires premature compaction; an under-count self-heals on the next response.
if pre_replace_total > 0 {
estimated_tokens = estimated_tokens.min(pre_replace_total);
}
estimated_tokens
}
/// Replace the conversation, persist, reseed `total_tokens` and emit reset + token events; `is_compaction` only marks the turn capture.
pub(super) fn replace_conversation(
&mut self,
items: Vec<ConversationItem>,
@@ -407,28 +417,16 @@ impl ChatStateActor {
if is_compaction && let Some(cap) = &mut self.state.turn_capture {
cap.compaction_occurred = true;
}
let pre_replace_total = self.state.total_tokens;
// `harness_trace_buffer` / `harness_trace_turns` intentionally untouched:
// the planner/verifier subagents ran, so their sealed trace turns survive
// a conversation replace (same intent as the `TruncateToPromptIndex` arm).
self.persistence.replace_history(&items);
let base_estimate = super::state::estimate_conversation_tokens(&items);
let mut estimated_tokens =
if is_compaction && pre_replace_total > 0 && self.state.estimate_at_last_response > 0 {
let ratio = pre_replace_total as f64 / self.state.estimate_at_last_response as f64;
(base_estimate as f64 * ratio).round() as u64
} else {
base_estimate
};
// Compaction must never appear to increase usage.
if is_compaction && pre_replace_total > 0 {
estimated_tokens = estimated_tokens.min(pre_replace_total);
}
let estimated_tokens = self.reseed_total_tokens(base_estimate);
self.state.conversation = items;
self.state.estimated_tokens_since_model = 0;
self.state.total_tokens = estimated_tokens;
self.state.estimate_at_last_response =
super::state::estimate_conversation_tokens(&self.state.conversation);
self.state.estimate_at_last_response = base_estimate;
self.rebase_turn_capture_offset();
self.send_event(ChatStateEvent::ConversationReset {
new_len: self.state.conversation.len(),
@@ -68,10 +68,10 @@ impl ChatStateActor {
self.state.conversation.truncate(truncate_at);
self.state.prompt_texts.truncate(target_prompt_index);
self.state.prompt_index = target_prompt_index;
self.state.total_tokens =
super::state::estimate_conversation_tokens(&self.state.conversation);
let base_estimate = super::state::estimate_conversation_tokens(&self.state.conversation);
self.state.total_tokens = self.reseed_total_tokens(base_estimate);
self.state.estimated_tokens_since_model = 0;
self.state.estimate_at_last_response = self.state.total_tokens;
self.state.estimate_at_last_response = base_estimate;
self.persistence.replace_history(&self.state.conversation);
@@ -68,12 +68,10 @@ pub fn estimate_item_tokens(item: &ConversationItem) -> u64 {
kigi_token_estimation::estimate_tokens(&b.text_summary())
}
ConversationItem::Reasoning(r) => {
// Summary + content text follow the standard bytes-per-token
// estimate; encrypted blobs are base64 and don't survive
// tokenization 1:1, so estimate at len/4 as well.
// Text and ciphertext are the same reasoning twice: the larger wins (base64 is 4/3 over raw).
let text_bytes = kigi_sampling_types::reasoning_item_text(r).len();
let enc_bytes = r.encrypted_content.as_deref().map(str::len).unwrap_or(0);
((text_bytes + enc_bytes) as u64) / kigi_token_estimation::BYTES_PER_TOKEN
(text_bytes.max(enc_bytes * 3 / 4) as u64) / kigi_token_estimation::BYTES_PER_TOKEN
}
}
}
@@ -658,22 +658,66 @@ async fn compaction_reseed_without_provider_count_matches_plain_estimate() {
}
#[tokio::test]
async fn non_compaction_replace_does_not_carry_overhead() {
async fn non_compaction_replace_carries_confirmed_total() {
// A rewind/mode-switch replace scales from the provider-confirmed count, not the raw estimate.
let h = TestHarness::new();
h.handle
.push_user_message(ConversationItem::user("x".repeat(4000)));
h.handle.record_token_usage(51_000);
h.handle.record_token_usage(500);
// Estimate at last response = 1_000, confirmed = 500 → ratio 0.5.
h.handle
.replace_conversation(vec![ConversationItem::user("q".repeat(4000))]);
let total = h.handle.get_total_tokens().await;
assert_eq!(
total, 1_000,
"non-compaction replace (e.g. rewind) keeps the plain estimate"
total, 500,
"same-size replace carries the provider-confirmed count"
);
}
#[tokio::test]
async fn replace_never_increases_total_tokens() {
// A growing replace is capped at the confirmed total; the under-count self-heals on the next usage.
let h = TestHarness::new();
h.handle
.push_user_message(ConversationItem::user("x".repeat(4000)));
h.handle.record_token_usage(1_500);
h.handle
.replace_conversation(vec![ConversationItem::user("q".repeat(40_000))]);
assert_eq!(h.handle.get_total_tokens().await, 1_500);
}
#[tokio::test]
async fn truncate_scales_from_confirmed_total() {
// Rewind path: TruncateToPromptIndex must use the same carry as replace_conversation.
let h = TestHarness::new();
h.handle
.push_user_message(ConversationItem::user("x".repeat(4000)));
h.handle.increment_prompt_index();
h.handle
.push_user_message(ConversationItem::user("y".repeat(4000)));
h.handle.increment_prompt_index();
h.handle.record_token_usage(1_000);
// Estimate at last response = 2_000, confirmed = 1_000 → ratio 0.5.
h.handle.truncate_to_prompt_index(1).await;
// Keeps the first user item (raw estimate 1_000) → scaled to 500.
assert_eq!(h.handle.get_total_tokens().await, 500);
}
#[test]
fn reasoning_estimate_takes_the_larger_of_text_and_ciphertext() {
// "thinking for r1" is 15 bytes; 800 base64 bytes are ~600 raw bytes.
let encrypted = reasoning_sibling("r1", Some(&"A".repeat(800)));
assert_eq!(crate::estimate_conversation_tokens(&[encrypted]), 150);
let plain = reasoning_sibling("r1", None);
assert_eq!(crate::estimate_conversation_tokens(&[plain]), 3);
}
#[tokio::test]
async fn flush_calls_persistence_flush() {
let mut h = TestHarness::new();