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Journal budget: count from structured data, not string matching

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Count journal tokens directly from Vec<JournalEntry> instead of
scanning message text for prefix strings. Type system, not string
typing.

Co-Authored-By: Proof of Concept <poc@bcachefs.org>
This commit is contained in:
Kent Overstreet 2026-04-02 02:29:48 -04:00
parent 5526a26d4c
commit 4bdc7ae112
1 changed files with 11 additions and 21 deletions
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24
src/agent/runner.rs
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@ -186,7 +186,9 @@ impl Agent {
let count = |s: &str| self.tokenizer.encode_with_special_tokens(s).len();
let mut id_tokens: usize = 0;
let mut jnl_tokens: usize = 0;
let jnl_tokens: usize = self.context.journal.iter()
.map(|e| count(&e.content))
.sum();
let mut conv_tokens: usize = 0;
let mut in_conversation = false;
@ -198,28 +200,15 @@ impl Agent {
continue;
}
match msg.role {
Role::System => id_tokens += tokens,
Role::User => {
let text = msg.content_text();
if text.starts_with("[Earlier in this conversation") {
jnl_tokens += tokens;
} else if text.starts_with("Your context was just rebuilt") {
jnl_tokens += tokens;
} else if jnl_tokens == 0 && conv_tokens == 0 {
// Personality context — part of identity
if in_conversation {
conv_tokens += tokens;
} else if msg.role == Role::System || (!in_conversation && conv_tokens == 0) {
id_tokens += tokens;
} else {
in_conversation = true;
conv_tokens += tokens;
}
}
_ => {
in_conversation = true;
conv_tokens += tokens;
}
}
}
// Memory = nodes loaded during the session via tool calls
let mem_tokens: usize = self.context.loaded_nodes.iter()
@ -851,6 +840,7 @@ impl Agent {
}
self.context.journal = entries;
dbg_log!("[journal] context.journal now has {} entries", self.context.journal.len());
}
/// Re-render the context message in self.messages from live ContextState.