WIP: ContextEntry/ContextSection data structures for incremental token counting
New types — not yet wired to callers: - ContextEntry: wraps ConversationEntry with cached token count and timestamp - ContextSection: named group of entries with cached token total. Private entries/tokens, read via entries()/tokens(). Mutation via push(entry), set(index, entry), del(index). - ContextState: system/identity/journal/conversation sections + working_stack - ConversationEntry::System variant for system prompt entries Token counting happens once at push time. Sections maintain their totals incrementally via push/set/del. No more recomputing from scratch on every budget check. Does not compile — callers need updating. Co-Authored-By: Proof of Concept <poc@bcachefs.org>
This commit is contained in:
parent
776ac527f1
commit
62996e27d7
10 changed files with 450 additions and 403 deletions
376
src/agent/mod.rs
376
src/agent/mod.rs
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@ -24,7 +24,7 @@ use tiktoken_rs::CoreBPE;
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use api::{ApiClient, ToolCall};
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use api::{ContentPart, Message, MessageContent, Role};
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use context::{ConversationEntry, ContextState};
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use context::{ConversationEntry, ContextEntry, ContextState};
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use tools::{summarize_args, working_stack};
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use crate::mind::log::ConversationLog;
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@ -195,12 +195,27 @@ impl Agent {
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let tokenizer = tiktoken_rs::cl100k_base()
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.expect("failed to load cl100k_base tokenizer");
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let mut system = ContextSection::new("System prompt");
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system.push(ContextEntry {
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entry: ConversationEntry::System(Message::system(&system_prompt)),
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tokens: context::msg_token_count(&tokenizer, &Message::system(&system_prompt)),
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timestamp: None,
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});
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let mut identity = ContextSection::new("Identity");
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for (_name, content) in &personality {
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let msg = Message::user(content);
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identity.push(ContextEntry {
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tokens: context::msg_token_count(&tokenizer, &msg),
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entry: ConversationEntry::Message(msg),
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timestamp: None,
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});
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}
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let context = ContextState {
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system_prompt: system_prompt.clone(),
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personality,
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journal: Vec::new(),
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system,
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identity,
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journal: ContextSection::new("Journal"),
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conversation: ContextSection::new("Conversation"),
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working_stack: Vec::new(),
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entries: Vec::new(),
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};
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let session_id = format!("consciousness-{}", chrono::Utc::now().format("%Y%m%d-%H%M%S"));
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let mut agent = Self {
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@ -274,18 +289,24 @@ impl Agent {
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/// System prompt + personality context + journal + conversation messages.
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pub fn assemble_api_messages(&self) -> Vec<Message> {
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let mut msgs = Vec::new();
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msgs.push(Message::system(&self.context.system_prompt));
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// System section
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for e in self.context.system.entries() {
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msgs.push(e.entry.api_message().clone());
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}
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// Identity — render personality files + working stack into one user message
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let ctx = self.context.render_context_message();
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if !ctx.is_empty() {
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msgs.push(Message::user(ctx));
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}
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let jnl = context::render_journal(&self.context.journal);
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// Journal — render into one user message
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let jnl = self.context.render_journal();
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if !jnl.is_empty() {
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msgs.push(Message::user(jnl));
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}
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msgs.extend(self.context.entries.iter()
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.filter(|e| !e.is_log())
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.map(|e| e.api_message().clone()));
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// Conversation entries
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msgs.extend(self.context.conversation.entries().iter()
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.filter(|e| !e.entry.is_log())
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.map(|e| e.entry.api_message().clone()));
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msgs
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}
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@ -303,50 +324,64 @@ impl Agent {
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eprintln!("warning: failed to log entry: {:#}", e);
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}
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}
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self.context.entries.push(entry);
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let tokens = if entry.is_log() { 0 } else {
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context::msg_token_count(&self.tokenizer, entry.api_message())
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};
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self.context.conversation.push(ContextEntry {
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entry, tokens, timestamp: Some(chrono::Utc::now()),
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});
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self.changed.notify_one();
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}
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fn streaming_entry(&mut self) -> Option<&mut Message> {
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for entry in self.context.entries.iter_mut().rev() {
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let m = entry.message_mut();
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if m.role == Role::Assistant {
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return if m.timestamp.is_none() { Some(m) } else { None }
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}
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}
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None
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/// Find the index of the in-progress streaming entry (unstamped assistant message).
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fn streaming_index(&self) -> Option<usize> {
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self.context.conversation.entries().iter().rposition(|ce| {
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let m = ce.entry.message();
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m.role == Role::Assistant && m.timestamp.is_none()
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})
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}
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/// Append streaming text to the last entry (creating a partial
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/// assistant entry if needed). Called by collect_stream per token batch.
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fn append_streaming(&mut self, text: &str) {
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if let Some(m) = self.streaming_entry() {
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m.append_content(text);
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if let Some(idx) = self.streaming_index() {
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let mut msg = self.context.conversation.entries()[idx].entry.message().clone();
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msg.append_content(text);
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self.context.conversation.set_message(idx, &self.tokenizer, msg);
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} else {
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// No streaming entry — create without timestamp so finalize can find it
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self.context.entries.push(ConversationEntry::Message(Message {
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let msg = Message {
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role: Role::Assistant,
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content: Some(MessageContent::Text(text.to_string())),
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tool_calls: None,
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tool_call_id: None,
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name: None,
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timestamp: None,
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}));
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};
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let tokens = context::msg_token_count(&self.tokenizer, &msg);
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self.context.conversation.push(ContextEntry {
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entry: ConversationEntry::Message(msg),
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tokens,
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timestamp: None,
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});
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}
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self.changed.notify_one();
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}
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/// Finalize the streaming entry with the complete response message.
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/// Finds the unstamped assistant entry, updates it in place, and logs it.
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/// Finds the unstamped assistant entry, replaces it via set() with proper token count.
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fn finalize_streaming(&mut self, msg: Message) {
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if let Some(m) = self.streaming_entry() {
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*m = msg.clone();
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m.stamp();
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if let Some(i) = self.streaming_index() {
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let mut stamped = msg.clone();
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stamped.stamp();
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let tokens = context::msg_token_count(&self.tokenizer, &stamped);
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self.context.conversation.set(i, ContextEntry {
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entry: ConversationEntry::Message(stamped),
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tokens,
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timestamp: Some(chrono::Utc::now()),
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});
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} else {
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// No streaming entry found — push as new (this logs via push_message)
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self.push_message(msg.clone());
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}
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@ -655,173 +690,32 @@ impl Agent {
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self.push_message(Message::tool_result(&call.id, &output));
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}
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/// Token budget by category — cheap, no formatting. Used for compaction decisions.
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/// Token budget by category — just reads cached section totals.
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pub fn context_budget(&self) -> context::ContextBudget {
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let count = |m: &Message| context::msg_token_count(&self.tokenizer, m);
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let system = count(&Message::system(&self.context.system_prompt));
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let identity = count(&Message::user(&self.context.render_context_message()));
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let journal_rendered = context::render_journal(&self.context.journal);
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let journal = if journal_rendered.is_empty() { 0 } else {
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count(&Message::user(&journal_rendered))
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};
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let memory: usize = self.context.entries.iter()
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.filter(|e| e.is_memory())
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.map(|e| count(e.message()))
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let memory: usize = self.context.conversation.entries().iter()
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.filter(|e| e.entry.is_memory())
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.map(|e| e.tokens)
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.sum();
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let conversation: usize = self.context.entries.iter()
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.filter(|e| !e.is_memory() && !e.is_log())
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.map(|e| count(e.api_message()))
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.sum();
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context::ContextBudget { system, identity, journal, memory, conversation }
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}
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/// Build context state summary for the debug screen.
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pub fn context_state_summary(&self) -> Vec<ContextSection> {
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let count_msg = |m: &Message| context::msg_token_count(&self.tokenizer, m);
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let mut sections = Vec::new();
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// System prompt — counted as the actual message sent
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let system_msg = Message::system(&self.context.system_prompt);
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sections.push(ContextSection {
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name: "System prompt".into(),
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tokens: count_msg(&system_msg),
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content: self.context.system_prompt.clone(),
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children: Vec::new(),
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});
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// Context message (personality + working stack) — counted as the
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// single user message that assemble_api_messages sends
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let context_rendered = self.context.render_context_message();
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let context_msg = Message::user(&context_rendered);
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sections.push(ContextSection {
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name: format!("Identity ({} files + stack)", self.context.personality.len()),
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tokens: count_msg(&context_msg),
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content: context_rendered,
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children: Vec::new(),
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});
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// Journal — counted as the single rendered message sent
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let journal_rendered = context::render_journal(&self.context.journal);
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let journal_msg = Message::user(&journal_rendered);
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sections.push(ContextSection {
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name: format!("Journal ({} entries)", self.context.journal.len()),
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tokens: if journal_rendered.is_empty() { 0 } else { count_msg(&journal_msg) },
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content: journal_rendered,
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children: Vec::new(),
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});
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// Memory nodes — extracted from Memory entries in the conversation
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let memory_entries: Vec<&ConversationEntry> = self.context.entries.iter()
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.filter(|e| e.is_memory())
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.collect();
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if !memory_entries.is_empty() {
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let node_children: Vec<ContextSection> = memory_entries.iter()
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.map(|entry| {
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let (key, score) = match entry {
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ConversationEntry::Memory { key, score, .. } => (key.as_str(), *score),
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_ => unreachable!(),
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};
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let label = match score {
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Some(s) => format!("{} (score:{:.1})", key, s),
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None => key.to_string(),
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};
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ContextSection {
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name: label,
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tokens: count_msg(entry.message()),
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content: String::new(),
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children: Vec::new(),
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}
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})
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.collect();
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let node_tokens: usize = node_children.iter().map(|c| c.tokens).sum();
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sections.push(ContextSection {
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name: format!("Memory nodes ({} loaded)", memory_entries.len()),
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tokens: node_tokens,
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content: String::new(),
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children: node_children,
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});
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let conv_total = self.context.conversation.tokens();
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context::ContextBudget {
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system: self.context.system.tokens(),
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identity: self.context.identity.tokens(),
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journal: self.context.journal.tokens(),
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memory,
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conversation: conv_total - memory,
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}
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// Conversation — memories excluded (counted in their own section above)
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let conv_children = self.entry_sections(&count_msg, 0, false);
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let conv_tokens: usize = conv_children.iter().map(|c| c.tokens).sum();
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sections.push(ContextSection {
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name: format!("Conversation ({} messages)", conv_children.len()),
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tokens: conv_tokens,
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content: String::new(),
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children: conv_children,
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});
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sections
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}
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/// Build ContextSection nodes for conversation entries starting at `from`.
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/// When `include_memories` is false, memory entries are excluded (they get
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/// their own section in context_state_summary to avoid double-counting).
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fn entry_sections(
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&self,
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count_msg: &dyn Fn(&Message) -> usize,
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from: usize,
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include_memories: bool,
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) -> Vec<ContextSection> {
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let cfg = crate::config::get();
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self.context.entries.iter().enumerate()
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.skip(from)
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.filter(|(_, e)| !e.is_log() && (include_memories || !e.is_memory()))
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.map(|(i, entry)| {
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let m = entry.message();
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let text = m.content.as_ref()
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.map(|c| c.as_text().to_string())
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.unwrap_or_default();
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let (role_name, label) = if let ConversationEntry::Memory { key, score, .. } = entry {
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let label = match score {
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Some(s) => format!("[memory: {} score:{:.1}]", key, s),
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None => format!("[memory: {}]", key),
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};
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("mem".to_string(), label)
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} else {
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let tool_info = m.tool_calls.as_ref().map(|tc| {
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tc.iter()
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.map(|c| c.function.name.clone())
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.collect::<Vec<_>>()
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.join(", ")
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});
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let label = match &tool_info {
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Some(tools) => format!("[tool_call: {}]", tools),
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None => {
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let preview: String = text.chars().take(60).collect();
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let preview = preview.replace('\n', " ");
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if text.len() > 60 { format!("{}...", preview) } else { preview }
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}
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};
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let role_name = match m.role {
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Role::Assistant => cfg.assistant_name.clone(),
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Role::User => cfg.user_name.clone(),
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Role::Tool => "tool".to_string(),
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Role::System => "system".to_string(),
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};
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(role_name, label)
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};
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ContextSection {
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name: format!("[{}] {}: {}", i, role_name, label),
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tokens: count_msg(entry.api_message()),
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content: text,
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children: Vec::new(),
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}
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})
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.collect()
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/// Context state sections — just returns references to the live data.
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pub fn context_sections(&self) -> [&ContextSection; 4] {
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self.context.sections()
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}
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/// Context sections for entries from `from` onward — used by the
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/// Conversation entries from `from` onward — used by the
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/// subconscious debug screen to show forked agent conversations.
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pub fn conversation_sections_from(&self, from: usize) -> Vec<ContextSection> {
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let count_msg = |m: &Message| context::msg_token_count(&self.tokenizer, m);
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self.entry_sections(&count_msg, from, true)
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pub fn conversation_entries_from(&self, from: usize) -> &[ContextEntry] {
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let entries = self.context.conversation.entries();
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if from < entries.len() { &entries[from..] } else { &[] }
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}
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/// Load recent journal entries at startup for orientation.
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@ -876,35 +770,38 @@ impl Agent {
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dbg_log!("[journal] cutoff_idx={}", cutoff_idx);
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// Walk backwards from cutoff, accumulating entries within 15% of context
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let count = |s: &str| self.tokenizer.encode_with_special_tokens(s).len();
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let context_window = crate::agent::context::context_window();
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let journal_budget = context_window * 15 / 100;
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dbg_log!("[journal] budget={} tokens ({}*15%)", journal_budget, context_window);
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let mut entries = Vec::new();
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let mut journal_entries = Vec::new();
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let mut total_tokens = 0;
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for node in journal_nodes[..cutoff_idx].iter().rev() {
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let tokens = count(&node.content);
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if total_tokens + tokens > journal_budget && !entries.is_empty() {
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let msg = Message::user(&node.content);
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let tokens = context::msg_token_count(&self.tokenizer, &msg);
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if total_tokens + tokens > journal_budget && !journal_entries.is_empty() {
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break;
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}
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entries.push(context::JournalEntry {
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timestamp: chrono::DateTime::from_timestamp(node.created_at, 0)
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.unwrap_or_default(),
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content: node.content.clone(),
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journal_entries.push(ContextEntry {
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entry: ConversationEntry::Message(msg),
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tokens,
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timestamp: chrono::DateTime::from_timestamp(node.created_at, 0),
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});
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total_tokens += tokens;
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}
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entries.reverse();
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dbg_log!("[journal] loaded {} entries, {} tokens", entries.len(), total_tokens);
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journal_entries.reverse();
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dbg_log!("[journal] loaded {} entries, {} tokens", journal_entries.len(), total_tokens);
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if entries.is_empty() {
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if journal_entries.is_empty() {
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dbg_log!("[journal] no entries!");
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return;
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}
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self.context.journal = entries;
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self.context.journal.clear();
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for entry in journal_entries {
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self.context.journal.push(entry);
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}
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dbg_log!("[journal] context.journal now has {} entries", self.context.journal.len());
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}
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@ -923,10 +820,10 @@ impl Agent {
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/// The tool result message before each image records what was loaded.
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pub fn age_out_images(&mut self) {
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// Find image entries newest-first, skip 1 (caller is about to add another)
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let to_age: Vec<usize> = self.context.entries.iter().enumerate()
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let to_age: Vec<usize> = self.context.conversation.entries().iter().enumerate()
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.rev()
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.filter(|(_, e)| {
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if let Some(MessageContent::Parts(parts)) = &e.message().content {
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.filter(|(_, ce)| {
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if let Some(MessageContent::Parts(parts)) = &ce.entry.message().content {
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parts.iter().any(|p| matches!(p, ContentPart::ImageUrl { .. }))
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} else { false }
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})
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@ -935,7 +832,9 @@ impl Agent {
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.collect();
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for i in to_age {
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let msg = self.context.entries[i].message_mut();
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// Build replacement entry with image data stripped
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let old = &self.context.conversation.entries()[i];
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let msg = old.entry.message();
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if let Some(MessageContent::Parts(parts)) = &msg.content {
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let mut replacement = String::new();
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for part in parts {
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@ -950,7 +849,14 @@ impl Agent {
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}
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}
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}
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msg.content = Some(MessageContent::Text(replacement));
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let mut new_msg = msg.clone();
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new_msg.content = Some(MessageContent::Text(replacement));
|
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let tokens = context::msg_token_count(&self.tokenizer, &new_msg);
|
||||
self.context.conversation.set(i, ContextEntry {
|
||||
entry: ConversationEntry::Message(new_msg),
|
||||
tokens,
|
||||
timestamp: old.timestamp,
|
||||
});
|
||||
}
|
||||
}
|
||||
self.generation += 1;
|
||||
|
|
@ -968,16 +874,30 @@ impl Agent {
|
|||
// Reload identity from config
|
||||
match crate::config::reload_for_model(&self.app_config, &self.prompt_file) {
|
||||
Ok((system_prompt, personality)) => {
|
||||
self.context.system_prompt = system_prompt;
|
||||
self.context.personality = personality;
|
||||
self.context.system.clear();
|
||||
self.context.system.push(ContextEntry {
|
||||
entry: ConversationEntry::System(Message::system(&system_prompt)),
|
||||
tokens: context::msg_token_count(&self.tokenizer, &Message::system(&system_prompt)),
|
||||
timestamp: None,
|
||||
});
|
||||
self.context.identity.clear();
|
||||
for (_name, content) in &personality {
|
||||
let msg = Message::user(content);
|
||||
self.context.identity.push(ContextEntry {
|
||||
tokens: context::msg_token_count(&self.tokenizer, &msg),
|
||||
entry: ConversationEntry::Message(msg),
|
||||
timestamp: None,
|
||||
});
|
||||
}
|
||||
}
|
||||
Err(e) => {
|
||||
eprintln!("warning: failed to reload identity: {:#}", e);
|
||||
}
|
||||
}
|
||||
|
||||
let before = self.context.entries.len();
|
||||
let before_mem = self.context.entries.iter().filter(|e| e.is_memory()).count();
|
||||
let before = self.context.conversation.len();
|
||||
let before_mem = self.context.conversation.entries().iter()
|
||||
.filter(|e| e.entry.is_memory()).count();
|
||||
let before_conv = before - before_mem;
|
||||
|
||||
// Age out images before trimming — they're huge in the request payload
|
||||
|
|
@ -988,15 +908,11 @@ impl Agent {
|
|||
|
||||
// Dedup memory, trim to budget
|
||||
let budget = self.context_budget();
|
||||
let entries = self.context.entries.clone();
|
||||
self.context.entries = crate::agent::context::trim_entries(
|
||||
&entries,
|
||||
&self.tokenizer,
|
||||
&budget,
|
||||
);
|
||||
self.context.conversation.trim(&budget, &self.tokenizer);
|
||||
|
||||
let after = self.context.entries.len();
|
||||
let after_mem = self.context.entries.iter().filter(|e| e.is_memory()).count();
|
||||
let after = self.context.conversation.len();
|
||||
let after_mem = self.context.conversation.entries().iter()
|
||||
.filter(|e| e.entry.is_memory()).count();
|
||||
let after_conv = after - after_mem;
|
||||
|
||||
dbglog!("[compact] entries: {} → {} (mem: {} → {}, conv: {} → {})",
|
||||
|
|
@ -1022,14 +938,26 @@ impl Agent {
|
|||
};
|
||||
|
||||
// Load extra — compact() will dedup, trim, reload identity + journal
|
||||
let all: Vec<_> = entries.into_iter()
|
||||
let all: Vec<ContextEntry> = entries.into_iter()
|
||||
.filter(|e| !e.is_log() && e.message().role != Role::System)
|
||||
.map(|e| {
|
||||
let tokens = if e.is_log() { 0 } else {
|
||||
context::msg_token_count(&self.tokenizer, e.api_message())
|
||||
};
|
||||
let timestamp = if e.is_log() { None } else {
|
||||
e.message().timestamp.as_ref().and_then(|ts| {
|
||||
chrono::DateTime::parse_from_rfc3339(ts).ok()
|
||||
.map(|dt| dt.with_timezone(&chrono::Utc))
|
||||
})
|
||||
};
|
||||
ContextEntry { entry: e, tokens, timestamp }
|
||||
})
|
||||
.collect();
|
||||
let mem_count = all.iter().filter(|e| e.is_memory()).count();
|
||||
let mem_count = all.iter().filter(|e| e.entry.is_memory()).count();
|
||||
let conv_count = all.len() - mem_count;
|
||||
dbglog!("[restore] loaded {} entries from log (mem: {}, conv: {})",
|
||||
all.len(), mem_count, conv_count);
|
||||
self.context.entries = all;
|
||||
self.context.conversation.set_entries(all);
|
||||
self.compact();
|
||||
// Estimate prompt tokens so status bar isn't 0 on startup
|
||||
self.last_prompt_tokens = self.context_budget().total() as u32;
|
||||
|
|
@ -1046,9 +974,9 @@ impl Agent {
|
|||
&self.client.model
|
||||
}
|
||||
|
||||
/// Get the conversation entries for persistence.
|
||||
pub fn entries(&self) -> &[ConversationEntry] {
|
||||
&self.context.entries
|
||||
/// Get the conversation entries.
|
||||
pub fn entries(&self) -> &[ContextEntry] {
|
||||
self.context.conversation.entries()
|
||||
}
|
||||
|
||||
/// Mutable access to conversation entries (for /retry).
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue