Unify budget and context state — single source of truth

Kill ContextBudget and recompute_budget entirely. Budget percentages,
used token counts, and compaction threshold checks now all derive from
the ContextSection tree built by context_state_summary(). This
eliminates the stale-budget bug where the cached budget diverged from
actual context contents.

Also: remove MindCommand::Turn — user input flows through
shared_mind.input exclusively. Mind::start_turn() atomically moves
text from pending input into the agent's context and spawns the turn.
Kill /retry. Make Agent::turn() take no input parameter.

Co-Authored-By: Proof of Concept <poc@bcachefs.org>

src/agent/context.rs

@@ -230,34 +230,9 @@ pub struct ContextState {
     /// Conversation entries — messages and memory, interleaved in order.
     /// Does NOT include system prompt, personality, or journal.
     pub entries: Vec<ConversationEntry>,
-    /// Cached token budget — recomputed when entries change, not every frame.
-    pub budget: ContextBudget,
 }
 
 impl ContextState {
-    /// Compute the context budget from typed sources and cache the result.
-    pub fn recompute_budget(&mut self, count_str: &dyn Fn(&str) -> usize,
-                   count_msg: &dyn Fn(&Message) -> usize,
-                   window_tokens: usize) -> &ContextBudget {
-        let id = count_str(&self.system_prompt)
-            + self.personality.iter().map(|(_, c)| count_str(c)).sum::<usize>();
-        let jnl: usize = self.journal.iter().map(|e| count_str(&e.content)).sum();
-        let mut mem = 0;
-        let mut conv = 0;
-        for entry in &self.entries {
-            let tokens = count_msg(entry.api_message());
-            if entry.is_memory() { mem += tokens } else { conv += tokens }
-        }
-        self.budget = ContextBudget {
-            identity_tokens: id,
-            memory_tokens: mem,
-            journal_tokens: jnl,
-            conversation_tokens: conv,
-            window_tokens,
-        };
-        &self.budget
-    }
-
     pub fn render_context_message(&self) -> String {
         let mut parts: Vec<String> = self.personality.iter()
             .map(|(name, content)| format!("## {}\n\n{}", name, content))
@@ -281,28 +256,33 @@ impl ContextState {
     }
 }
 
-#[derive(Debug, Clone, Default)]
+/// Total tokens used across all context sections.
-pub struct ContextBudget {
+pub fn sections_used(sections: &[ContextSection]) -> usize {
-    pub identity_tokens: usize,
+    sections.iter().map(|s| s.tokens).sum()
-    pub memory_tokens: usize,
-    pub journal_tokens: usize,
-    pub conversation_tokens: usize,
-    pub window_tokens: usize,
 }
 
-impl ContextBudget {
+/// Budget status string derived from context sections.
-    pub fn used(&self) -> usize {
+pub fn sections_budget_string(sections: &[ContextSection]) -> String {
-        self.identity_tokens + self.memory_tokens + self.journal_tokens + self.conversation_tokens
+    let window = context_window();
-    }
+    if window == 0 { return String::new(); }
-    pub fn free(&self) -> usize {
+    let used: usize = sections.iter().map(|s| s.tokens).sum();
-        self.window_tokens.saturating_sub(self.used())
+    let free = window.saturating_sub(used);
-    }
+    let pct = |n: usize| if n == 0 { 0 } else { ((n * 100) / window).max(1) };
-    pub fn status_string(&self) -> String {
+    let parts: Vec<String> = sections.iter()
-        let total = self.window_tokens;
+        .map(|s| {
-        if total == 0 { return String::new(); }
+            // Short label from section name
-        let pct = |n: usize| if n == 0 { 0 } else { ((n * 100) / total).max(1) };
+            let label = match s.name.as_str() {
-        format!("id:{}% mem:{}% jnl:{}% conv:{}% free:{}%",
+                n if n.starts_with("System") => "sys",
-            pct(self.identity_tokens), pct(self.memory_tokens),
+                n if n.starts_with("Personality") => "id",
-            pct(self.journal_tokens), pct(self.conversation_tokens), pct(self.free()))
+                n if n.starts_with("Journal") => "jnl",
-    }
+                n if n.starts_with("Working") => "stack",
+                n if n.starts_with("Memory") => "mem",
+                n if n.starts_with("Conversation") => "conv",
+                _ => return String::new(),
+            };
+            format!("{}:{}%", label, pct(s.tokens))
+        })
+        .filter(|s| !s.is_empty())
+        .collect();
+    format!("{} free:{}%", parts.join(" "), pct(free))
 }

src/agent/mod.rs

@@ -24,7 +24,7 @@ use tiktoken_rs::CoreBPE;
 
 use api::{ApiClient, ToolCall};
 use api::types::{ContentPart, Message, MessageContent, Role};
-use context::{ConversationEntry, ContextState, ContextBudget};
+use context::{ConversationEntry, ContextState};
 use tools::{summarize_args, working_stack};
 
 use crate::mind::log::ConversationLog;
@@ -214,7 +214,6 @@ impl Agent {
             journal: Vec::new(),
             working_stack: Vec::new(),
             entries: Vec::new(),
-            budget: ContextBudget::default(),
         };
         let session_id = format!("consciousness-{}", chrono::Utc::now().format("%Y%m%d-%H%M%S"));
         let agent_cycles = crate::subconscious::subconscious::AgentCycleState::new(&session_id);
@@ -284,7 +283,7 @@ impl Agent {
     }
 
     /// Push a conversation message — stamped and logged.
-    fn push_message(&mut self, mut msg: Message) {
+    pub fn push_message(&mut self, mut msg: Message) {
         msg.stamp();
         let entry = ConversationEntry::Message(msg);
         self.push_entry(entry);
@@ -297,7 +296,7 @@ impl Agent {
             }
         }
         self.context.entries.push(entry);
-        self.recompute_budget();
+
         self.changed.notify_one();
     }
 
@@ -319,12 +318,6 @@ impl Agent {
         self.changed.notify_one();
     }
 
-    pub fn recompute_budget(&mut self) -> &ContextBudget {
-        let count_str = |s: &str| self.tokenizer.encode_with_special_tokens(s).len();
-        let count_msg = |m: &Message| crate::agent::context::msg_token_count(&self.tokenizer, m);
-        let window = crate::agent::context::context_window();
-        self.context.recompute_budget(&count_str, &count_msg, window)
-    }
 
     /// Send a user message and run the agent loop until the model
     /// produces a text response (no more tool calls). Streams text
@@ -334,7 +327,6 @@ impl Agent {
     /// lock is never held across I/O (API streaming, tool dispatch).
     pub async fn turn(
         agent: Arc<tokio::sync::Mutex<Agent>>,
-        user_input: &str,
     ) -> Result<TurnResult> {
         // --- Pre-loop setup (lock 1): agent cycle, memories, user input ---
         let active_tools = {
@@ -385,14 +377,13 @@ impl Agent {
                 }
             }
 
-            // Re-acquire to apply results and push user input
+            // Re-acquire to apply background tool results
-            {
+            if !bg_results.is_empty() {
                 let mut me = agent.lock().await;
                 let mut bg_ds = DispatchState::new();
                 for (call, output) in bg_results {
                     me.apply_tool_result(&call, output, &mut bg_ds);
                 }
-                me.push_message(Message::user(user_input));
             }
 
             tools
@@ -1041,13 +1032,14 @@ impl Agent {
         dbglog!("[compact] entries: {} → {} (mem: {} → {}, conv: {} → {})",
             before, after, before_mem, after_mem, before_conv, after_conv);
 
-        self.recompute_budget();
-        dbglog!("[compact] budget: {}", self.context.budget.status_string());
 
         self.load_startup_journal();
         self.generation += 1;
         self.last_prompt_tokens = 0;
         self.publish_context_state();
+
+        let sections = self.shared_context.read().map(|s| s.clone()).unwrap_or_default();
+        dbglog!("[compact] budget: {}", context::sections_budget_string(&sections));
     }
 
     /// Restore from the conversation log. Builds the context window
@@ -1073,9 +1065,9 @@ impl Agent {
             all.len(), mem_count, conv_count);
         self.context.entries = all;
         self.compact();
-        // Estimate prompt tokens from budget so status bar isn't 0 on startup
+        // Estimate prompt tokens from sections so status bar isn't 0 on startup
-        self.recompute_budget();
+        let sections = self.shared_context.read().map(|s| s.clone()).unwrap_or_default();
-        self.last_prompt_tokens = self.context.budget.used() as u32;
+        self.last_prompt_tokens = context::sections_used(&sections) as u32;
         true
     }
 

src/mind/mod.rs

@@ -81,8 +81,6 @@ impl Clone for MindState {
 
 /// What should happen after a state transition.
 pub enum MindCommand {
-    /// Start a turn with this input
-    Turn(String, StreamTarget),
     /// Run compaction check
     Compact,
     /// Run memory scoring
@@ -113,10 +111,12 @@ impl MindState {
         }
     }
 
-    /// Consume pending input, return a Turn command if ready.
+    /// Consume pending user input if no turn is active.
-    fn take_pending_input(&mut self) -> MindCommand {
+    /// Returns the text to send; caller is responsible for pushing it
+    /// into the Agent's context and starting the turn.
+    fn take_pending_input(&mut self) -> Option<String> {
         if self.turn_active || self.input.is_empty() {
-            return MindCommand::None;
+            return None;
         }
         let text = self.input.join("\n");
         self.input.clear();
@@ -124,7 +124,7 @@ impl MindState {
         self.consecutive_errors = 0;
         self.last_user_input = Instant::now();
         self.dmn = dmn::State::Engaged;
-        MindCommand::Turn(text, StreamTarget::Conversation)
+        Some(text)
     }
 
     /// Process turn completion, return model switch name if requested.
@@ -158,17 +158,17 @@ impl MindState {
         }
     }
 
-    /// DMN tick — returns a Turn action with the DMN prompt, or None.
+    /// DMN tick — returns a prompt and target if we should run a turn.
-    fn dmn_tick(&mut self) -> MindCommand {
+    fn dmn_tick(&mut self) -> Option<(String, StreamTarget)> {
         if matches!(self.dmn, dmn::State::Paused | dmn::State::Off) {
-            return MindCommand::None;
+            return None;
         }
 
         self.dmn_turns += 1;
         if self.dmn_turns > self.max_dmn_turns {
             self.dmn = dmn::State::Resting { since: Instant::now() };
             self.dmn_turns = 0;
-            return MindCommand::None;
+            return None;
         }
 
         let dmn_ctx = dmn::DmnContext {
@@ -177,7 +177,7 @@ impl MindState {
             last_turn_had_tools: self.last_turn_had_tools,
         };
         let prompt = self.dmn.prompt(&dmn_ctx);
-        MindCommand::Turn(prompt, StreamTarget::Autonomous)
+        Some((prompt, StreamTarget::Autonomous))
     }
 
     fn interrupt(&mut self) {
@@ -261,9 +261,10 @@ impl Mind {
             match cmd {
                 MindCommand::None => {}
                 MindCommand::Compact => {
-                    let threshold = compaction_threshold(&self.config.app);
+                    let threshold = compaction_threshold(&self.config.app) as usize;
                     let mut ag = self.agent.lock().await;
-                    if ag.last_prompt_tokens() > threshold {
+                    let sections = ag.shared_context.read().map(|s| s.clone()).unwrap_or_default();
+                    if crate::agent::context::sections_used(&sections) > threshold {
                         ag.compact();
                         ag.notify("compacted");
                     }
@@ -305,16 +306,6 @@ impl Mind {
                         new_log, shared_ctx, shared_tools,
                     );
                 }
-                MindCommand::Turn(input, target) => {
-                    self.shared.lock().unwrap().turn_active = true;
-                    let _ = self.turn_watch.send(true);
-                    let agent = self.agent.clone();
-                    let result_tx = self.turn_tx.clone();
-                    self.shared.lock().unwrap().turn_handle = Some(tokio::spawn(async move {
-                        let result = Agent::turn(agent, &input).await;
-                        let _ = result_tx.send((result, target)).await;
-                    }));
-                }
             }
         }
     }
@@ -344,6 +335,25 @@ impl Mind {
         });
     }
 
+    /// Push user/DMN message into the agent's context and spawn a turn.
+    /// The text moves from pending_input to ContextState atomically —
+    /// by the time this returns, the message is in context and the turn
+    /// is running.
+    async fn start_turn(&self, text: &str, target: StreamTarget) {
+        {
+            let mut ag = self.agent.lock().await;
+            ag.push_message(crate::agent::api::types::Message::user(text));
+        }
+        self.shared.lock().unwrap().turn_active = true;
+        let _ = self.turn_watch.send(true);
+        let agent = self.agent.clone();
+        let result_tx = self.turn_tx.clone();
+        self.shared.lock().unwrap().turn_handle = Some(tokio::spawn(async move {
+            let result = Agent::turn(agent).await;
+            let _ = result_tx.send((result, target)).await;
+        }));
+    }
+
     pub async fn shutdown(&self) {
         if let Some(handle) = self.shared.lock().unwrap().turn_handle.take() { handle.abort(); }
     }
@@ -404,12 +414,17 @@ impl Mind {
 
                 _ = tokio::time::sleep(timeout), if !turn_active => {
                     let tick = self.shared.lock().unwrap().dmn_tick();
-                    cmds.push(tick);
+                    if let Some((prompt, target)) = tick {
+                        self.start_turn(&prompt, target).await;
+                    }
                 }
             }
 
-            // Always check for pending input
+            // Check for pending user input → push to agent context and start turn
-            cmds.push(self.shared.lock().unwrap().take_pending_input());
+            let pending = self.shared.lock().unwrap().take_pending_input();
+            if let Some(text) = pending {
+                self.start_turn(&text, StreamTarget::Conversation).await;
+            }
 
             self.run_commands(cmds).await;
         }

src/user/chat.rs

@@ -13,7 +13,6 @@ use ratatui::{
 };
 
 use super::{App, ScreenView, screen_legend};
-use crate::mind::StreamTarget;
 use crate::mind::MindCommand;
 
 // --- Slash command table ---
@@ -35,28 +34,6 @@ fn commands() -> Vec<SlashCommand> { vec![
         handler: |s, _| {
             if let Ok(mut ag) = s.agent.try_lock() { ag.notify("saved"); }
         } },
-    SlashCommand { name: "/retry", help: "Re-run last turn",
-        handler: |s, _| {
-            let agent = s.agent.clone();
-            let mind_tx = s.mind_tx.clone();
-            tokio::spawn(async move {
-                let _act = crate::agent::start_activity(&agent, "retrying...").await;
-                let mut ag = agent.lock().await;
-                let entries = ag.entries_mut();
-                let mut last_user_text = None;
-                while let Some(entry) = entries.last() {
-                    if entry.message().role == crate::agent::api::types::Role::User {
-                        last_user_text = Some(entries.pop().unwrap().message().content_text().to_string());
-                        break;
-                    }
-                    entries.pop();
-                }
-                drop(ag);
-                if let Some(text) = last_user_text {
-                    let _ = mind_tx.send(MindCommand::Turn(text, StreamTarget::Conversation));
-                }
-            });
-        } },
     SlashCommand { name: "/model", help: "Show/switch model (/model <name>)",
         handler: |s, arg| {
             if arg.is_empty() {
@@ -555,8 +532,9 @@ impl InteractScreen {
             return;
         }
 
-        // Regular input → queue to Mind
+        // Regular input → queue to Mind, then wake it
         self.shared_mind.lock().unwrap().input.push(input.to_string());
+        let _ = self.mind_tx.send(MindCommand::None);
     }
 
 
@@ -848,7 +826,8 @@ impl ScreenView for InteractScreen {
             agent.expire_activities();
             app.status.prompt_tokens = agent.last_prompt_tokens();
             app.status.model = agent.model().to_string();
-            app.status.context_budget = agent.context.budget.status_string();
+            let sections = agent.shared_context.read().map(|s| s.clone()).unwrap_or_default();
+            app.status.context_budget = crate::agent::context::sections_budget_string(&sections);
             app.activity = agent.activities.last()
                 .map(|a| a.label.clone())
                 .unwrap_or_default();