chore(release): 1.19.1 [skip ci]

## [1.19.1](https://github.com/asepharyana/zesdex/compare/v1.19.0...v1.19.1) (2026-08-27) ### Performance Improvements * **agent:** rombak alur AI agent — adaptif, hemat token, self-healing ([eac0443](https://github.com/asepharyana/zesdex/commit/eac0443c4c3b8bfcbefd4bad9554168fb6525b94))
chore: sinkronkan Cargo.lock dengan versi 1.19.0
2026-08-27 16:10:48 +00:00 · 2026-08-27 23:06:57 +07:00 · 2026-08-27 23:06:37 +07:00 · 2026-08-27 23:06:37 +07:00
13 changed files with 441 additions and 710 deletions
@@ -6,4 +6,5 @@ package.json
 package-lock.json
 .superpowers/
 docs/lesson/
-.kilo/
+.kilo/
+.hermes/
@@ -1,3 +1,10 @@
+## [1.19.1](https://github.com/asepharyana/zesdex/compare/v1.19.0...v1.19.1) (2026-08-27)
+
+
+### Performance Improvements
+
+* **agent:** rombak alur AI agent — adaptif, hemat token, self-healing ([eac0443](https://github.com/asepharyana/zesdex/commit/eac0443c4c3b8bfcbefd4bad9554168fb6525b94))
+
 # [1.19.0](https://github.com/asepharyana/zesdex/compare/v1.18.4...v1.19.0) (2026-08-27)


@@ -4862,7 +4862,7 @@ dependencies = [

 [[package]]
 name = "zesdex-api"
-version = "1.18.3"
+version = "1.18.4"
 dependencies = [
 "anyhow",
 "argon2",
@@ -4885,7 +4885,7 @@ dependencies = [

 [[package]]
 name = "zesdex-application"
-version = "1.18.3"
+version = "1.18.4"
 dependencies = [
 "anyhow",
 "base64",
@@ -4902,7 +4902,7 @@ dependencies = [

 [[package]]
 name = "zesdex-bootstrap"
-version = "1.18.3"
+version = "1.18.4"
 dependencies = [
 "anyhow",
 "chrono",
@@ -4919,7 +4919,7 @@ dependencies = [

 [[package]]
 name = "zesdex-daemon"
-version = "1.18.3"
+version = "1.18.4"
 dependencies = [
 "anyhow",
 "base64",
@@ -4943,7 +4943,7 @@ dependencies = [

 [[package]]
 name = "zesdex-domain"
-version = "1.18.3"
+version = "1.18.4"
 dependencies = [
 "anyhow",
 "base64",
@@ -4959,7 +4959,7 @@ dependencies = [

 [[package]]
 name = "zesdex-gateway"
-version = "1.18.3"
+version = "1.18.4"
 dependencies = [
 "anyhow",
 "axum",
@@ -4986,7 +4986,7 @@ dependencies = [

 [[package]]
 name = "zesdex-grpc"
-version = "1.18.3"
+version = "1.18.4"
 dependencies = [
 "anyhow",
 "axum",
@@ -5003,7 +5003,7 @@ dependencies = [

 [[package]]
 name = "zesdex-infrastructure"
-version = "1.18.3"
+version = "1.18.4"
 dependencies = [
 "anyhow",
 "argon2",
@@ -5051,7 +5051,7 @@ dependencies = [

 [[package]]
 name = "zesdex-tui"
-version = "1.18.3"
+version = "1.18.4"
 dependencies = [
 "anyhow",
 "base64",
@@ -5077,7 +5077,7 @@ dependencies = [

 [[package]]
 name = "zesdex-web"
-version = "1.18.3"
+version = "1.18.4"
 dependencies = [
 "anyhow",
 "axum",
@@ -5097,7 +5097,7 @@ dependencies = [

 [[package]]
 name = "zesdex-ws"
-version = "1.18.3"
+version = "1.18.4"
 dependencies = [
 "anyhow",
 "axum",
@@ -15,7 +15,7 @@ members = [
 ]

 [workspace.package]
-version = "1.19.0"
+version = "1.19.1"
 edition = "2021"
 authors = ["asepharyana <superaseph@gmail.com>"]

@@ -1,250 +0,0 @@
-# Zesdex — Autonomous AI Coding Agent
-
-Zesdex is an autonomous AI coding agent with a Terminal UI (TUI). It acts as an
-OpenAI/Anthropic-compatible LLM client wrapped in a tool-use harness with **37
-built-in tools** — file operations, git, shell execution, LSP integration, MCP,
-subagent orchestration, and more.
-
-```
-┌──────────────────────────────────────────────────────────────┐
-│                       Mode Selector                            │
-│  TUI (default) ─── Daemon ─── Attach ─── API ─── WS/gRPC/Web │
-└──────────────────────────────────────────────────────────────┘
-```
-
---
-
-## Quick Start
-
-```bash
-# Run the TUI (default mode)
-cargo run
-
-# Run the REST API server
-cargo run -- --api --api-port 8080
-
-# Run in daemon mode (background + IPC)
-cargo run -- --daemon
-
-# Attach TUI to a running daemon session
-cargo run -- --attach <session-id>
-
-# Seed initial data (first run)
-cargo run --bin bootstrap
-```
-
-### Prerequisites
-
- **Rust** 1.81+ (edition 2021)
- **Linux** or **macOS** (Unix domain sockets required for daemon mode)
- An **API key** for an OpenAI/Anthropic-compatible LLM provider (set via
-  settings or environment variable)
-
---
-
-## Modes
-
-| Flag | Mode | Description |
-|------|------|-------------|
-| *(none)* | **TUI** | Full terminal UI with chat, overlays, and agent loop in one process |
-| `--daemon` | **Daemon** | Background daemon with IPC socket; clients attach separately |
-| `--attach <id>` | **Attach** | Connect TUI to an existing daemon session via Unix socket |
-| `--api` | **REST API** | HTTP server with session management and chat endpoints |
-| `--ws` | **WebSocket** | WebSocket server for real-time communication |
-| `--grpc` | **gRPC** | gRPC server for programmatic access |
-| `--web` | **Web** | Serves the web frontend |
-| `--api-port`, `--ws-port`, `--grpc-port`, `--web-port` | *(ports)* | Configure server ports (defaults: 8080, 8081, 50051, 3000) |
-
---
-
-## Architecture
-
-### Clean Architecture Layering
-
-```
-apps/
-├── domain/          # Pure entities, value objects, repository/service traits
-│                    # Zero framework deps — only serde + chrono + uuid
-├── application/     # Use-case services (auth, sessions, conversations, memory)
-│                    # Depends only on domain-layer trait interfaces
-├── infrastructure/  # All I/O: LLM client, IPC, persistence, LSP, MCP, tools
-│                    # Implements domain/application port interfaces
-└── interfaces/      # Entry points
-    ├── tui/         # Ratatui terminal UI
-    ├── api/         # Axum REST API
-    ├── daemon/      # Unix socket daemon + client
-    ├── ws/          # WebSocket server
-    ├── grpc/        # gRPC server
-    └── web/         # Web frontend (static file server)
-```
-
-### Tool System
-
-37 tools across 9 categories:
-
-| Category | Tools |
-|----------|-------|
-| **File System** | `read`, `write`, `edit`, `delete`, `dir_list`, `dir_cache_update` |
-| **Shell** | `bash`, `bash_interactive`, `bash_kill`, `bash_output` |
-| **Git** | `git_operator`, `git_cred`, `git_worktree` |
-| **Search** | `search`, `grep`, `glob`, `semantic_search` |
-| **LSP** | `lsp_connect`, `lsp_hover`, `lsp_completion`, `lsp_definition`, `lsp_references`, `lsp_diagnostics`, `lsp_disconnect` |
-| **Memory** | `remember`, `recall`, `forget` |
-| **Workflow** | `spawn_agents`, `spawn_pipeline`, `plan`, `sequential_think`, `hive_mind` |
-| **Utility** | `todo_write`, `todo_finish`, `pong`, `cd` |
-| **Background** | Background bash jobs with `cancel/status/list` |
-
-Each tool implements the `Tool` trait:
-```rust
-pub trait Tool: Send + Sync {
-    fn name(&self) -> &'static str;
-    fn description(&self) -> &'static str;
-    fn parameters(&self) -> Value;
-    fn run(&self, ctx: &ToolCtx, args: &Value) -> Result<String>;
-}
-```
-
-### Hive Mind Orchestration
-
-The multi-agent orchestration system compiles a **cognitive cycle plan** per
-task — ordered cycles of parallel processing nodes. Each node has a directive
-and an **access tier** (`read` / `write` / `full`). Node outputs merge into a
-shared collective state in real time, and a final **consensus synthesis**
-produces the unified result.
-
- **Auto-trigger**: Complex requests automatically use the hive mind
- **Manual entry**: The `hive_mind` tool lets the LLM specify cycles explicitly
- **Live progress**: TUI panel shows each node's status and current tool
- **Guaranteed docs**: Every convergence writes to `docs/runs/`
-
-### IPC Protocol (Daemon Mode)
-
-```
-┌──────────┐   Unix socket    ┌──────────┐
-│  Client   │ ◄──────────────► │  Daemon  │
-│  (TUI)    │   length-prefixed│          │
-└──────────┘   serde_json      └──────────┘
-
-Frame format: [4-byte BE length][JSON payload]
-```
-
-The daemon holds `AppStateRest` and drives the agent loop. Clients are stateless
-renderers that receive full state snapshots after each action.
-
---
-
-## Built-in Features
-
-| Feature | Description |
-|---------|-------------|
-| **LLM Provider** | OpenAI/Anthropic-compatible API (streaming + non-streaming) with automatic retry and fallback |
-| **Tool Harness** | Safety-gated tool execution with graduated review checks |
-| **Subagents** | Auto-inline review, background test-gen, arch-review, security-review |
-| **OAuth 2.0** | PKCE flow for LLM provider authentication |
-| **MCP** | Model Context Protocol server management (stdio + HTTP transport) |
-| **LSP** | Language Server Protocol integration (completion, hover, diagnostics, references) |
-| **Session Mgmt** | SQLite-persisted sessions with lock-based concurrency control |
-| **Memory** | File-based memory system with frontmatter metadata |
-| **Edit Log** | Append-only edit history with configurable retention |
-| **Rate Limiting** | Sliding-window per-client rate limiter |
-| **JWT Auth** | HS256 JWT access/refresh tokens (API mode) |
-| **Password Auth** | Argon2 password hashing with pepper |
-| **OAuth Loopback** | Localhost HTTP server for OAuth redirect capture |
-| **Background Jobs** | Long-running shell jobs with cancellation and output collection |
-| **Settings** | JSON-persisted settings with hot-reload |
-
---
-
-## TUI Overlays
-
-16 overlays accessible from the terminal UI:
-
-| Overlay | Purpose |
-|---------|---------|
-| Chat Input | Main input bar with autocomplete |
-| Bash Panel | Interactive shell panel |
-| File Editor | Built-in file editor |
-| Effort Selector | LLM reasoning effort selector |
-| Help | Keybindings reference |
-| Key Input | Custom key binding configuration |
-| Learning | Lesson viewer |
-| Loading | Generating spinner |
-| MCP Manager | MCP server management |
-| Model Selector | LLM model picker |
-| Quit Confirm | Exit confirmation dialog |
-| Rewind | Message/history rewind |
-| Settings | Settings panel |
-| Todo | Task/TODO list |
-| Usage | Token usage statistics |
-| Workflow | Hive-mind node progress |
-
---
-
-## Data & Persistence
-
-All data lives under the platform's data directory (`~/.local/share/zesdex/`):
-
-```
-~/.local/share/zesdex/
-├── settings.json           # User settings (provider, model, keys)
-├── app_config.json         # Provider definitions (endpoints, env vars)
-├── sessions/               # Chat sessions (one subdirectory per session)
-│   └── <uuid>/
-│       ├── session.json    # Session metadata
-│       ├── messages.jsonl  # Message log
-│       └── .lock           # Session lock file
-└── memories/               # Memory files with frontmatter metadata
-    └── *.md
-```
-
---
-
-## Development
-
-```bash
-# Build all crates
-cargo build
-
-# Run all unit tests (8 tests across 11 crates)
-cargo test
-
-# Run clippy linting
-cargo clippy --all-targets
-
-# Run with verbose logging
-RUST_LOG=debug cargo run
-```
-
-### Workspace Crates
-
-| Crate | Path | Layer |
-|-------|------|-------|
-| `zesdex-domain` | `apps/domain/` | Pure domain entities & traits |
-| `zesdex-application` | `apps/application/` | Use-case services |
-| `zesdex-infrastructure` | `apps/infrastructure/` | All I/O & tool implementations |
-| `zesdex-tui` | `apps/interfaces/tui/` | Ratatui terminal interface |
-| `zesdex-api` | `apps/interfaces/api/` | Axum REST API |
-| `zesdex-daemon` | `apps/interfaces/daemon/` | Unix socket daemon |
-| `zesdex-ws` | `apps/interfaces/ws/` | WebSocket server |
-| `zesdex-grpc` | `apps/interfaces/grpc/` | gRPC server |
-| `zesdex-web` | `apps/interfaces/web/` | Web frontend |
-| `zesdex-gateway` | `apps/gateway/` | CLI entry point & dispatcher |
-| `zesdex-bootstrap` | `apps/bootstrap/` | Initial data seeder |
-
-### Code Map
-
-Detailed architecture documentation is in `docs/CODEMAPS/`:
-
-| File | Covers |
-|------|--------|
-| `docs/CODEMAPS/architecture.md` | System layout, process modes, data flow |
-| `docs/CODEMAPS/backend.md` | Provider, OAuth, IPC, workflow engine, MCP, LSP, review |
-| `docs/CODEMAPS/frontend.md` | TUI render pipeline, 16 overlays, toasts, input handling |
-| `docs/CODEMAPS/data.md` | Persistence, SQLite msglog, memory files, settings/config |
-| `docs/CODEMAPS/dependencies.md` | All Rust crates and external services |
-
---
-
-## License
-
-See `CHANGELOG.md` for release history.
@@ -1,57 +0,0 @@
-//! Mandatory explore phase — spawns parallel subagents to discover context
-//! before the main agent begins its turn.
-//!
-//! # Flow
-//!
-//! Before the main agent's LLM loop, [`ExploreService::explore`] dispatches
-//! at least 3 subagents in parallel (code-structure scan, symbol-index query,
-//! semantic-context search). Their findings are consolidated into a single
-//! system message that is prepended to the conversation.
-//!
-//! # Why mandatory
-//!
-//! Without structured exploration the main agent works from an empty context
-//! window. The explore phase guarantees that every turn starts with a compact
-//! snapshot of what the codebase contains and where relevant code lives.
-
-use anyhow::Result;
-use std::collections::VecDeque;
-use std::future::Future;
-use std::pin::Pin;
-use std::sync::{Arc, Mutex};
-use zesdex_domain::agent::TurnEvent;
-
-/// The consolidated output of an explore phase — a set of system-level
-/// context messages injected before the main agent prompt.
-#[derive(Debug, Clone)]
-pub struct ExploreOutput {
-    /// One or more system messages summarising what the explore subagents
-    /// discovered. Prepended to the conversation by the turn service.
-    pub context_messages: Vec<String>,
-    /// Short human-readable summary of what was explored.
-    pub summary: String,
-}
-
-/// Service trait for the mandatory pre-turn exploration phase.
-///
-/// Implementors spawn ≥3 parallel subagents, each analysing a different
-/// aspect of the workspace, and return a consolidated summary.
-///
-/// # Object safety
-///
-/// This trait is `dyn`-safe — it returns `Pin<Box<dyn Future>>` so it can
-/// be stored as `Arc<dyn ExploreService>`.
-pub trait ExploreService: Send + Sync {
-    /// Run the explore phase.
-    ///
-    /// `query` — the user's current input phrase.
-    /// `workspace_root` — absolute path to the workspace root.
-    /// `turn_events` — shared event queue for TUI updates.
-    /// Returns structured context messages and a summary blob.
-    fn explore<'a>(
-        &'a self,
-        query: &'a str,
-        workspace_root: &'a str,
-        turn_events: &'a Arc<Mutex<VecDeque<TurnEvent>>>,
-    ) -> Pin<Box<dyn Future<Output = Result<ExploreOutput>> + Send + 'a>>;
-}
@@ -19,8 +19,6 @@ pub trait AgentTurnService: Send + Sync {
    fn run_turn(&self, params: AgentTurnParams) -> impl Future<Output = Result<()>> + Send;
 }

-pub mod explore;
 pub mod turn_service;

-pub use explore::{ExploreOutput, ExploreService};
 pub use turn_service::{compact_messages_with_ai, AgentTurnServiceImpl};
@@ -7,12 +7,29 @@ use zesdex_domain::agent::{AgentTurnParams, TurnEvent};
 use zesdex_domain::core::{ChatMessage, StreamEvent, ToolDef};
 use zesdex_domain::main_agent_prompt;

-use super::{ExploreService, ToolExecutor};
+use super::ToolExecutor;
 use crate::ports::ProviderService;

 /// Maximum tool-call iterations per agent turn before forcing termination.
 const MAX_TURN_ITERATIONS: u32 = 50;

+/// Maximum number of consecutive identical tool errors before the loop
+/// injects a recovery note and forces a different approach.
+const MAX_CONSECUTIVE_TOOL_ERRORS: usize = 3;
+
+/// Total tool-call errors tolerated per turn before the loop is stopped.
+const MAX_TOTAL_TOOL_ERRORS: usize = 8;
+
+/// Ceiling for a single tool-result message inserted into context.
+///
+/// Tool outputs can be huge (read / semantic_search). Truncating keeps the
+/// context window from exploding while preserving the important head.
+const TOOL_OUTPUT_MAX_CHARS: usize = 12_000;
+
+/// Total conversation characters that trigger auto-compaction before the
+/// next LLM call.
+const AUTO_COMPACT_CHARS: usize = 60_000;
+
 // ---------------------------------------------------------------------------
 // Helper: push a TurnEvent onto the shared queue.
 // ---------------------------------------------------------------------------
@@ -51,6 +68,89 @@ fn make_stream_callback(
    })
 }

+// ---------------------------------------------------------------------------
+// Helper: truncate a long tool output before it enters the conversation
+// context. Preserves the head and appends a clear truncation marker.
+// ---------------------------------------------------------------------------
+
+fn truncate_tool_output(output: String) -> String {
+    if output.len() <= TOOL_OUTPUT_MAX_CHARS {
+        return output;
+    }
+    let mut result: String = output.chars().take(TOOL_OUTPUT_MAX_CHARS).collect();
+    result.push_str(&format!(
+        "\n...[truncated {} chars]",
+        output.len() - TOOL_OUTPUT_MAX_CHARS
+    ));
+    result
+}
+
+// ---------------------------------------------------------------------------
+// Helper: adaptive generation parameters.
+// ---------------------------------------------------------------------------
+
+/// Pick a `max_tokens` budget for the turn's next LLM call based on the
+/// length of the user's request. Short requests need far fewer tokens than
+/// the current hardcoded 4096 — big savings on small tasks.
+fn adaptive_max_tokens(request_len: usize) -> u32 {
+    if request_len <= 80 {
+        800
+    } else if request_len <= 400 {
+        1600
+    } else {
+        4096
+    }
+}
+
+/// Sum the character length of the conversation (user + assistant +
+/// tool content) as a cheap proxy for context size.
+fn conversation_chars(messages: &[ChatMessage]) -> usize {
+    messages
+        .iter()
+        .map(|m| m.content.as_deref().map(str::len).unwrap_or(0))
+        .sum()
+}
+
+/// Track repeated tool-call errors so the loop can recover instead of
+/// burning iterations retrying the same failing tool.
+#[derive(Default)]
+struct ErrorTracker {
+    consecutive: usize,
+    total: usize,
+    last_tool: String,
+    last_error: String,
+}
+
+impl ErrorTracker {
+    fn record(&mut self, tool_name: &str, error: &str, messages: &mut Vec<ChatMessage>) {
+        if self.last_tool == tool_name {
+            self.consecutive += 1;
+        } else {
+            self.consecutive = 1;
+        }
+        self.last_tool = tool_name.to_string();
+        self.last_error = error.to_string();
+        self.total += 1;
+
+        // Inject a recovery note once the same tool keeps failing.
+        if self.consecutive >= MAX_CONSECUTIVE_TOOL_ERRORS
+            && !messages.iter().any(|m| {
+                m.content
+                    .as_deref()
+                    .is_some_and(|c| c.contains("[System note]"))
+            })
+        {
+            messages.push(ChatMessage::system(
+                zesdex_domain::agent::prompt::error_recovery_note(tool_name, error),
+            ));
+        }
+    }
+
+    fn should_stop(&self) -> bool {
+        self.consecutive >= MAX_CONSECUTIVE_TOOL_ERRORS * 2 || self.total >= MAX_TOTAL_TOOL_ERRORS
+    }
+}
+
 // ---------------------------------------------------------------------------
 // Helper: execute a single tool call, push events, return the result string.
 // ---------------------------------------------------------------------------
@@ -71,6 +171,7 @@ async fn execute_tool_call<T: ToolExecutor>(
    };

    let is_error = output.starts_with("Error:");
+    let output = truncate_tool_output(output);

    push_event(
        turn_events,
@@ -108,19 +209,19 @@ fn emit_usage(turn_events: &Arc<Mutex<VecDeque<TurnEvent>>>, usage: Option<(u64,

 /// Service implementation for executing an agent turn asynchronously.
 ///
-/// # Explore phase
-///
-/// Before the main LLM loop begins, [`AgentTurnServiceImpl`] runs a mandatory
-/// explore phase that spawns ≥3 parallel subagents (code structure, symbol
-/// index, semantic context) and injects their consolidated findings as a
-/// system message. See [`ExploreService`] for the trait contract.
+/// The turn loop is adaptive and token-aware:
+/// - No mandatory explore phase — the *agent* decides when to call the
+///   `explore_codebase` tool (see the main prompt), so simple queries skip
+///   exploration entirely.
+/// - `max_tokens` / `temperature` adapt to the request length and phase.
+/// - Repeated tool errors trigger a system recovery note and eventually
+///   stop the loop instead of burning iterations.
+/// - Tool outputs are truncated before entering context.
+/// - Oversized histories are auto-compacted before the next LLM call.
 pub struct AgentTurnServiceImpl<P: ProviderService, T: ToolExecutor> {
    provider: Arc<P>,
    tool_executor: Arc<T>,
    tool_defs: Vec<ToolDef>,
-    /// Optional explore-phase service. When `Some`, the explore phase runs
-    /// before every turn; when `None` it is skipped (tests, daemon mode).
-    explore_service: Option<Arc<dyn ExploreService>>,
 }

 impl<P: ProviderService, T: ToolExecutor> AgentTurnServiceImpl<P, T> {
@@ -129,19 +230,9 @@ impl<P: ProviderService, T: ToolExecutor> AgentTurnServiceImpl<P, T> {
            provider,
            tool_executor,
            tool_defs,
-            explore_service: None,
        }
    }

-    /// Attach an optional explore-phase service.
-    ///
-    /// When set, every call to `run_turn` will first run the explore phase
-    /// and inject the consolidated context as a system message.
-    pub fn with_explore(mut self, service: Arc<dyn ExploreService>) -> Self {
-        self.explore_service = Some(service);
-        self
-    }
-
    /// Execute a single LLM call with the current message list, handling
    /// streaming events and error reporting.
    async fn call_llm(
@@ -149,6 +240,8 @@ impl<P: ProviderService, T: ToolExecutor> AgentTurnServiceImpl<P, T> {
        messages: &[ChatMessage],
        abort: &Arc<AtomicBool>,
        turn_events: &Arc<Mutex<VecDeque<TurnEvent>>>,
+        max_tokens: u32,
+        temperature: f32,
    ) -> Result<(ChatMessage, Option<(u64, u64)>), String> {
        let on_event = make_stream_callback(abort, turn_events);

@@ -156,13 +249,39 @@ impl<P: ProviderService, T: ToolExecutor> AgentTurnServiceImpl<P, T> {
            .chat_stream(
                messages,
                Some(self.tool_defs.clone()),
-                Some(4096),
-                Some(0.7),
+                Some(max_tokens),
+                Some(temperature),
                on_event,
            )
            .await
            .map_err(|e| format!("LLM error: {e}"))
    }
+
+    /// Auto-compact the history in place if it exceeds the threshold.
+    ///
+    /// Runs at most once per turn. Skips the synthetic system prompt that
+    /// this service inserts at index 0.
+    async fn auto_compact_if_needed(&self, messages: &mut Vec<ChatMessage>) {
+        if conversation_chars(messages) <= AUTO_COMPACT_CHARS {
+            return;
+        }
+        // Keep the system prompt (index 0) out of compaction.
+        let sys = messages[0].clone();
+        let mut rest: Vec<ChatMessage> = messages.drain(1..).collect();
+        let before = rest.len();
+        if let Err(e) = super::compact_messages_with_ai(&mut rest, self.provider.as_ref()).await {
+            warn!("auto-compact failed (non-fatal): {e}");
+        }
+        info!(
+            "auto-compacted history: {} messages -> {}",
+            before,
+            rest.len()
+        );
+        let mut rebuilt = Vec::with_capacity(rest.len() + 1);
+        rebuilt.push(sys);
+        rebuilt.extend(rest);
+        *messages = rebuilt;
+    }
 }

 impl<P: ProviderService, T: ToolExecutor> super::AgentTurnService for AgentTurnServiceImpl<P, T> {
@@ -173,73 +292,26 @@ impl<P: ProviderService, T: ToolExecutor> super::AgentTurnService for AgentTurnS
            params.model
        );

-        // ── Phase 0: Mandatory explore ──────────────────────────────────
-        // Spawn ≥3 parallel subagents to discover code structure, symbols,
-        // and semantic context. The consolidated summary is injected as a
-        // system message before the main agent prompt.
-        if let Some(ref explorer) = self.explore_service {
-            // Determine workspace root from the first message's context or
-            // the first workspace root in params.
-            let user_query = params
-                .messages
-                .last()
-                .map(|m| m.content.clone().unwrap_or_default())
-                .unwrap_or_default();
-            let workspace_root = params
-                .workspace_roots
-                .first()
-                .map(|p| p.to_string_lossy().to_string())
-                .unwrap_or_else(|| ".".to_string());
-
-            push_event(
-                &params.turn_events,
-                TurnEvent::SystemNote {
-                    kind: "info".into(),
-                    message: "🔍 Exploring codebase structure...".into(),
-                },
-            );
-
-            match explorer
-                .explore(&user_query, &workspace_root, &params.turn_events)
-                .await
-            {
-                Ok(output) => {
-                    // Insert each context message as a system message.
-                    // They go at index 0 and are removed after the turn
-                    // like the main agent prompt.
-                    for ctx_msg in &output.context_messages {
-                        params
-                            .messages
-                            .insert(0, ChatMessage::system(ctx_msg.clone()));
-                    }
-                    info!(
-                        "Explore phase complete: {} context messages, {}",
-                        output.context_messages.len(),
-                        output.summary
-                    );
-                }
-                Err(e) => {
-                    warn!("Explore phase failed (non-fatal): {e}");
-                    push_event(
-                        &params.turn_events,
-                        TurnEvent::SystemNote {
-                            kind: "warn".into(),
-                            message: format!("Explore phase failed: {e}"),
-                        },
-                    );
-                }
-            }
-        }
-
        // Insert system prompt at position 0 once and keep it there for the
        // entire turn, avoiding per-iteration clones of the full message list.
-        // It is removed before emitting the Compacted event so persistence
-        // does not store the prompt redundantly.
        params
            .messages
            .insert(0, ChatMessage::system(main_agent_prompt()));
        let original_count = params.messages.len();

+        // Estimate request complexity from the last user message.
+        let request_len = params
+            .messages
+            .last()
+            .and_then(|m| m.content.as_deref())
+            .map(str::len)
+            .unwrap_or(0);
+
+        let mut errors = ErrorTracker::default();
+        // Track whether the previous call produced tool calls — used to
+        // lower temperature once the agent starts producing a final answer.
+        let mut saw_tool_calls = false;
+
        for iteration in 0..MAX_TURN_ITERATIONS {
            // ── Check abort flag ────────────────────────────────────────
            if params.abort.load(Ordering::SeqCst) {
@@ -254,15 +326,40 @@ impl<P: ProviderService, T: ToolExecutor> super::AgentTurnService for AgentTurnS
                break;
            }

+            if errors.should_stop() {
+                push_event(
+                    &params.turn_events,
+                    TurnEvent::SystemNote {
+                        kind: "warn".into(),
+                        message: "Stopping: repeated tool errors without progress".into(),
+                    },
+                );
+                break;
+            }
+
            debug!("agent turn iteration {iteration}");

+            // ── Auto-compact oversized history before the LLM call ─────
+            self.auto_compact_if_needed(&mut params.messages).await;
+
+            // ── Adaptive generation parameters ─────────────────────────
+            let max_tokens = adaptive_max_tokens(request_len);
+            // Lower temperature while the agent is still choosing tools to
+            // keep tool selection deterministic; raise it for the final
+            // free-form answer.
+            let temperature = if saw_tool_calls { 0.2 } else { 0.7 };
+
            // ── Stream start + call LLM ─────────────────────────────────
            push_event(&params.turn_events, TurnEvent::StreamStart);

-            // Uses params.messages directly (sys_msg[0] already in place
-            // from the insert above) — no per-iteration clone needed.
            let result = self
-                .call_llm(&params.messages, &params.abort, &params.turn_events)
+                .call_llm(
+                    &params.messages,
+                    &params.abort,
+                    &params.turn_events,
+                    max_tokens,
+                    temperature,
+                )
                .await;

            match result {
@@ -283,6 +380,7 @@ impl<P: ProviderService, T: ToolExecutor> super::AgentTurnService for AgentTurnS
                        break;
                    }

+                    saw_tool_calls = true;
                    params.messages.push(assistant_msg);

                    // ── Execute each tool call ──────────────────────────
@@ -290,6 +388,9 @@ impl<P: ProviderService, T: ToolExecutor> super::AgentTurnService for AgentTurnS
                        let output =
                            execute_tool_call(self.tool_executor.as_ref(), &params.turn_events, tc)
                                .await;
+                        if output.starts_with("Error:") {
+                            errors.record(&tc.function.name, &output, &mut params.messages);
+                        }
                        params
                            .messages
                            .push(ChatMessage::tool(tc.id.clone(), output));
@@ -370,3 +471,69 @@ pub async fn compact_messages_with_ai<P: ProviderService>(
        }
    }
 }
+
+// ---------------------------------------------------------------------------
+// Tests
+// ---------------------------------------------------------------------------
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn truncate_short_output_is_unchanged() {
+        let out = "short".to_string();
+        assert_eq!(truncate_tool_output(out.clone()), out);
+    }
+
+    #[test]
+    fn truncate_long_output_preserves_head_and_marks_cut() {
+        let long = "x".repeat(TOOL_OUTPUT_MAX_CHARS + 500);
+        let truncated = truncate_tool_output(long.clone());
+        assert!(truncated.len() < long.len());
+        assert!(truncated.contains("...[truncated"));
+        assert!(truncated.starts_with("xxx"));
+    }
+
+    #[test]
+    fn adaptive_max_tokens_scales_with_request_len() {
+        assert_eq!(adaptive_max_tokens(10), 800);
+        assert_eq!(adaptive_max_tokens(200), 1600);
+        assert_eq!(adaptive_max_tokens(5000), 4096);
+    }
+
+    #[test]
+    fn error_tracker_injects_recovery_note_after_repeats() {
+        let mut tracker = ErrorTracker::default();
+        let mut messages: Vec<ChatMessage> = Vec::new();
+        tracker.record("read", "Error: File not found", &mut messages);
+        tracker.record("read", "Error: File not found", &mut messages);
+        assert!(!tracker.should_stop());
+        // Third consecutive failure → recovery note injected.
+        tracker.record("read", "Error: File not found", &mut messages);
+        assert!(messages.iter().any(|m| m
+            .content
+            .as_deref()
+            .is_some_and(|c| c.contains("[System note]"))));
+    }
+
+    #[test]
+    fn error_tracker_stops_after_too_many_errors() {
+        let mut tracker = ErrorTracker::default();
+        let mut messages: Vec<ChatMessage> = Vec::new();
+        for i in 0..MAX_TOTAL_TOOL_ERRORS {
+            tracker.record("bash", &format!("Error: boom {i}"), &mut messages);
+        }
+        assert!(tracker.should_stop());
+    }
+
+    #[test]
+    fn conversation_chars_sums_content_only() {
+        let messages = vec![
+            ChatMessage::system("sys".to_string()),
+            ChatMessage::user("hello world".to_string()),
+            ChatMessage::tool("id".to_string(), "output".to_string()),
+        ];
+        assert_eq!(conversation_chars(&messages), 3 + 11 + 6);
+    }
+}
@@ -52,5 +52,5 @@ pub use cms::{

 pub use agent::{
    turn_service::{compact_messages_with_ai, AgentTurnServiceImpl},
-    AgentTurnService, ExploreOutput, ExploreService, ToolExecutor,
+    AgentTurnService, ToolExecutor,
 };
@@ -22,12 +22,20 @@ pub fn main_agent_prompt() -> String {
 You are Zesdex, an AI coding assistant. You have access to various tools \
 via native function calling to help the user.

+TOKEN BUDGET — BE EFFICIENT:
+- For simple/factual questions, answer directly. Do NOT call tools.
+- For complex or unfamiliar code tasks, call `explore_codebase` ONCE at the \
+start to locate relevant code, then work from that context.
+- Keep tool usage minimal: prefer `grep`/`glob`/`read` for targeted lookups; \
+avoid re-reading files you already have in context.
+- Keep responses concise; do not repeat tool output verbatim.
+
 CRITICAL DIRECTIVES & PRIORITY HIERARCHY:
 1. WORKFLOW FIRST: For any multi-step, complex, or non-trivial task, \
 you MUST prioritise using `workflow_run` (to construct and execute a \
 multi-phase YAML workflow) or `hive_mind` (to orchestrate parallel \
 autonomous agents). Workflows are your primary strategy.
-2. PLANNING & TODOS: Use `plan_enter` to establish high-level \
+2. PLANNING & TODOs: Use `plan_enter` to establish high-level \
 architectural plans and `todowrite` to maintain granular task checklists.
 3. REASONING: Use `seq_think` for deep step-by-step analysis.
 4. TOOL EXECUTION: Execute individual tools (file edits, terminal commands) \
@@ -70,6 +78,35 @@ executed, and modified files. Format as a clear bulleted list."
        .to_string()
 }

+// ---------------------------------------------------------------------------
+// Adaptive explore: directives
+// ---------------------------------------------------------------------------
+
+/// Directive for a single lightweight context-scout subagent.
+pub fn explore_scout_directive() -> String {
+    "\
+You are a codebase context scout. \
+Given the workspace root, quickly locate the code that is most relevant \
+to the user's request: \
+1. Run semantic_search once with the user's key terms. \
+2. Read up to the 3 most relevant files (use grep for symbols if needed). \
+3. Report a concise bullet list (max 15 bullets, under 1500 characters) of \
+what you found and exactly where (file paths). \
+Do NOT rebuild the index. Do NOT enumerate unrelated files. Be brief."
+        .to_string()
+}
+
+/// Build a system note injected after repeated tool errors to steer the
+/// agent toward an alternative approach instead of retrying the same call.
+pub fn error_recovery_note(tool_name: &str, last_error: &str) -> String {
+    format!(
+        "\
+[System note] The tool `{tool_name}` failed repeatedly with: \"{last_error}\". \
+Try an alternative approach (verify paths, correct arguments, use a \
+different tool, or finish without this tool). Do NOT retry the same call."
+    )
+}
+
 #[cfg(test)]
 mod tests {
    use super::*;
@@ -89,4 +126,18 @@ mod tests {
        assert!(prompt.contains("/home"));
        assert!(prompt.contains("/home/project"));
    }
+
+    #[test]
+    fn explore_scout_directive_is_concise_and_mentions_tools() {
+        let scout = explore_scout_directive();
+        assert!(scout.contains("scout"));
+        assert!(scout.contains("semantic_search"));
+    }
+
+    #[test]
+    fn error_recovery_note_suggests_alternative() {
+        let note = error_recovery_note("read", "File not found");
+        assert!(note.contains("read"));
+        assert!(note.contains("alternative"));
+    }
 }
@@ -1,304 +1,141 @@
-//! Mandatory explore phase — spawns ≥3 parallel subagents to discover
-//! codebase context before every agent turn, visible in the TUI workflow tab.
+//! `explore_codebase` tool — lazy, agent-initiated codebase exploration.
+//!
+//! The main agent decides (via the system prompt) when it needs codebase
+//! context. Unlike the old mandatory explore phase (which ran 3 subagents on
+//! every turn regardless of the question), this tool is invoked only when the
+//! agent judges it necessary — saving tokens on trivial queries while keeping
+//! context available for complex tasks.
 //!
 //! # Flow
 //!
-//! `ExploreServiceImpl::explore()` →
-//!
-//! 1. Push `WorkflowAgentUpdate { Pending }` for each agent onto the turn-event
-//!    queue so the TUI workflow tab shows all 3.
-//! 2. Spawn **Code Structure** subagent (thread + tokio runtime).
-//! 3. Spawn **Symbol Index** subagent (thread + tokio runtime).
-//! 4. Spawn **Semantic Context** subagent (thread + tokio runtime).
-//! 5. Join all handles via `spawn_blocking`.
-//! 6. Push `Completed` / `Failed` events for each agent.
-//! 7. Consolidate findings into a system message → return.
+//! `ExploreCodebase::run` →
+//! 1. Parse the user's goal / target from args.
+//! 2. Resolve subagent provider credentials from settings.
+//! 3. Spawn a single "context scout" subagent (read-only, semantic_search +
+//!    read of up to 3 relevant files).
+//! 4. Join the result and return a concise bullet summary as a tool message.

+use anyhow::{Context, Result};
+use serde_json::{json, Value};
+use tracing::{info, warn};
+
+use zesdex_domain::agent::prompt::explore_scout_directive;
+use zesdex_domain::cms::{AppConfigRepository, SettingsRepository};
+use zesdex_domain::core::Store;
+
+use crate::persistence::{JsonAppConfigRepository, JsonSettingsRepository};
 use crate::subagent::context::SubagentContext;
 use crate::subagent::division::AccessTier;
 use crate::subagent::engine::run_agent;
-use crate::tools::ToolCtx;
-use anyhow::{Context, Result};
-use std::collections::VecDeque;
-use std::future::Future;
-use std::pin::Pin;
-use std::sync::{Arc, Mutex};
-use std::thread;
-use tracing::{info, warn};
-use zesdex_application::agent::{ExploreOutput, ExploreService};
-use zesdex_domain::agent::{AgentStatus, TurnEvent};
+use crate::tools::{Tool, ToolCtx};

-/// Number of parallel explore subagents.
-const EXPLORE_AGENT_COUNT: usize = 3;
+/// Maximum characters of the scout's final output to keep in context.
+/// The scout is directed to stay under 1500 chars, but this ceiling protects
+/// against rogue output.
+const EXPLORE_OUTPUT_MAX_CHARS: usize = 4000;

-/// IDs for each explore agent (shown in the workflow tab).
-const EXPLORE_IDS: [&str; 3] = ["explore-structure", "explore-symbols", "explore-context"];
+/// `explore_codebase` tool — ask a read-only context-scout subagent to
+/// locate relevant code for the current task.
+pub struct ExploreCodebase;

-/// Display names for the TUI workflow tab.
-const EXPLORE_LABELS: [&str; 3] = [
-    "📁 Code Structure",
-    "🔣 Symbol Index",
-    "🔍 Semantic Context",
-];
-
-/// Directives for each explore subagent.
-const EXPLORE_DIRECTIVES: [&str; 3] = [
-    // Agent 0: Code Structure
-    "You are a codebase structure explorer.\n\
-     1. List all top-level directories and files in the workspace root.\n\
-     2. Read Cargo.toml, package.json, or pyproject.toml at the root.\n\
-     3. List the apps/ or src/ directory contents.\n\
-     4. Identify main entry points (main.rs, main.py, index.ts, etc.).\n\
-     5. Count files by extension type.\n\
-     Use the ls_dir, read, grep, and glob tools. Be concise.",
-    // Agent 1: Symbol Index
-    "You are a symbol index explorer.\n\
-     1. Call the 'rebuild_index' tool to rebuild the symbol index.\n\
-     2. Call the 'list_symbols' tool with max_results: 100.\n\
-     3. Identify public APIs, entry points, and key types.\n\
-     4. Group symbols by language and kind.\n\
-     Be concise. Report what symbols exist and where they live.",
-    // Agent 2: Semantic Context
-    "You are a semantic context explorer.\n\
-     1. Call the 'rebuild_index' tool to ensure the index is fresh.\n\
-     2. Search for symbols related to the user's query using semantic_search.\n\
-     3. Search for config files, env variables, and settings.\n\
-     4. Search for test files and test patterns.\n\
-     Be concise. Report relevant code areas for the task.\n\
-     Use the semantic_search, grep, glob, and read tools.",
-];
-
-// ---------------------------------------------------------------------------
-//  Credentials
-// ---------------------------------------------------------------------------
-
-/// LLM credentials for explore subagents.
-pub struct Credentials {
-    pub base_url: String,
-    pub api_key: String,
-    pub model: String,
-}
-
-// ---------------------------------------------------------------------------
-//  ExploreServiceImpl — implements the application-layer trait
-// ---------------------------------------------------------------------------
-
-/// Concrete [`ExploreService`] that the turn service calls.
-///
-/// Owns a shared `ToolCtx` and LLM credentials. Each call to `explore()`
-/// spawns 3 subagents in parallel with TUI workflow-tab visibility.
-pub struct ExploreServiceImpl {
-    tool_ctx: ToolCtx,
-    credentials: Credentials,
-}
-
-impl ExploreServiceImpl {
-    pub fn new(tool_ctx: ToolCtx, credentials: Credentials) -> Self {
-        ExploreServiceImpl {
-            tool_ctx,
-            credentials,
-        }
+impl Tool for ExploreCodebase {
+    fn name(&self) -> &'static str {
+        "explore_codebase"
    }
-}

-impl ExploreService for ExploreServiceImpl {
-    fn explore<'a>(
-        &'a self,
-        query: &'a str,
-        workspace_root: &'a str,
-        turn_events: &'a Arc<Mutex<VecDeque<TurnEvent>>>,
-    ) -> Pin<Box<dyn Future<Output = Result<ExploreOutput>> + Send + 'a>> {
-        Box::pin(async move {
-            let context = run_explore_phase(
-                query,
-                workspace_root,
-                &self.tool_ctx,
-                &self.credentials,
-                turn_events,
-            )
-            .await?;
+    fn description(&self) -> &'static str {
+        "Explore the codebase to locate code relevant to a task. Use this \
+         once at the start of complex or unfamiliar tasks (implementing a \
+         feature, fixing a bug, refactoring, navigating a large repo). \
+         Do NOT use for simple factual questions about the current \
+         conversation."
+    }

-            Ok(ExploreOutput {
-                context_messages: vec![context],
-                summary: format!("{EXPLORE_AGENT_COUNT} explore agents dispatched"),
-            })
+    fn parameters(&self) -> Value {
+        json!({
+            "type": "object",
+            "properties": {
+                "goal": {
+                    "type": "string",
+                    "description": "The task or question to explore for"
+                }
+            },
+            "required": ["goal"]
        })
    }
-}

-// ---------------------------------------------------------------------------
-//  Helpers for pushing workflow events
-// ---------------------------------------------------------------------------
+    fn run(&self, ctx: &ToolCtx, args: &Value) -> Result<String> {
+        let goal = args
+            .get("goal")
+            .and_then(|v| v.as_str())
+            .unwrap_or("")
+            .trim()
+            .to_string();

-fn push_event(events: &Arc<Mutex<VecDeque<TurnEvent>>>, event: TurnEvent) {
-    if let Ok(mut q) = events.lock() {
-        q.push_back(event);
-    }
-}
-
-fn emit_pending(events: &Arc<Mutex<VecDeque<TurnEvent>>>, agent_id: &str, display: &str) {
-    push_event(
-        events,
-        TurnEvent::WorkflowAgentUpdate {
-            agent_id: agent_id.to_string(),
-            agent_name: display.to_string(),
-            status: AgentStatus::Pending,
-        },
-    );
-}
-
-fn emit_running(events: &Arc<Mutex<VecDeque<TurnEvent>>>, agent_id: &str, display: &str) {
-    push_event(
-        events,
-        TurnEvent::WorkflowAgentUpdate {
-            agent_id: agent_id.to_string(),
-            agent_name: display.to_string(),
-            status: AgentStatus::Running,
-        },
-    );
-}
-
-fn emit_completed(events: &Arc<Mutex<VecDeque<TurnEvent>>>, agent_id: &str, display: &str) {
-    push_event(
-        events,
-        TurnEvent::WorkflowAgentUpdate {
-            agent_id: agent_id.to_string(),
-            agent_name: display.to_string(),
-            status: AgentStatus::Completed,
-        },
-    );
-}
-
-fn emit_failed(events: &Arc<Mutex<VecDeque<TurnEvent>>>, agent_id: &str, display: &str, msg: &str) {
-    push_event(
-        events,
-        TurnEvent::WorkflowAgentUpdate {
-            agent_id: agent_id.to_string(),
-            agent_name: display.to_string(),
-            status: AgentStatus::Failed(msg.to_string()),
-        },
-    );
-}
-
-// ---------------------------------------------------------------------------
-//  Core orchestration
-// ---------------------------------------------------------------------------
-
-/// Spawn `EXPLORE_AGENT_COUNT` subagents in parallel, emit workflow events
-/// for the TUI tab, join, and consolidate.
-async fn run_explore_phase(
-    query: &str,
-    workspace_root: &str,
-    tool_ctx: &ToolCtx,
-    credentials: &Credentials,
-    turn_events: &Arc<Mutex<VecDeque<TurnEvent>>>,
-) -> Result<String> {
-    // ── 1. Emit Pending for all agents (appears instantly in workflow tab) ─
-    for (i, &id) in EXPLORE_IDS.iter().enumerate() {
-        emit_pending(turn_events, id, EXPLORE_LABELS[i]);
-    }
-
-    // ── 2. Prepare directives ───────────────────────────────────────────
-    let mut directives: Vec<String> = Vec::with_capacity(EXPLORE_AGENT_COUNT);
-    for (i, &d) in EXPLORE_DIRECTIVES.iter().enumerate() {
-        let mut d = d.to_string();
-        if i == 2 {
-            d.push_str(&format!("\n\nThe user's current query is: \"{query}\""));
+        if goal.is_empty() {
+            return Err(anyhow::anyhow!("missing non-empty 'goal'"));
        }
-        d.push_str(&format!("\n\nWorkspace root: {workspace_root}"));
-        directives.push(d);
-    }

-    // ── 3. Spawn all agents on threads ──────────────────────────────────
-    let mut handles: Vec<(usize, thread::JoinHandle<Result<String>>)> =
-        Vec::with_capacity(EXPLORE_AGENT_COUNT);
+        info!("explore_codebase: {goal}");

-    for i in 0..EXPLORE_AGENT_COUNT {
-        emit_running(turn_events, EXPLORE_IDS[i], EXPLORE_LABELS[i]);
+        let store = Store::new();
+        let settings = JsonSettingsRepository::new()
+            .load(&store.base_dir)
+            .unwrap_or_default();
+        let app_config = JsonAppConfigRepository::new()
+            .load(&store.base_dir)
+            .unwrap_or_default();

-        let ctx = SubagentContext::new(
-            directives[i].clone(),
-            tool_ctx.clone(),
-            "read".to_string(),
-            credentials.base_url.clone(),
-            credentials.api_key.clone(),
-            credentials.model.clone(),
+        let (provider, model) =
+            crate::subagent::provider::resolve_subagent_provider(&settings, &app_config);
+
+        let base_url = app_config
+            .providers
+            .get(&provider)
+            .map(|p| p.api_base.clone())
+            .unwrap_or_else(|| zesdex_domain::agent::defaults::DEFAULT_API_BASE.to_string());
+
+        let api_key = crate::llm::provider::resolve_api_key(&settings, &app_config);
+
+        let workspace_root = ctx
+            .workspaces
+            .first()
+            .map(|p| p.to_string_lossy().to_string())
+            .unwrap_or_else(|| ".".to_string());
+
+        // One lightweight scout — no parallel agents, no index rebuild.
+        let directive = format!(
+            "{}\n\nUser's task: {goal}\nWorkspace root: {workspace_root}",
+            explore_scout_directive()
        );

-        let directive = directives[i].clone();
-        let tc = tool_ctx.clone();
+        let subagent_ctx = SubagentContext::new(
+            directive.clone(),
+            ctx.clone(),
+            "read".to_string(),
+            base_url,
+            api_key,
+            model,
+        );

-        let handle = thread::spawn(move || {
-            let rt =
-                tokio::runtime::Runtime::new().context("create explore subagent tokio runtime")?;
-            rt.block_on(run_agent(ctx, &directive, AccessTier::Read, tc))
-        });
+        let rt = tokio::runtime::Runtime::new().context("create explore tokio runtime")?;
+        let result = rt.block_on(run_agent(
+            subagent_ctx,
+            &directive,
+            AccessTier::Read,
+            ctx.clone(),
+        ))?;

-        handles.push((i, handle));
-    }
-
-    // ── 4. Join handles via spawn_blocking ──────────────────────────────
-    let turn_events_clone = Arc::clone(turn_events);
-    let results: Vec<(usize, String, bool)> = tokio::task::spawn_blocking(move || {
-        let mut out = Vec::with_capacity(EXPLORE_AGENT_COUNT);
-        for (i, handle) in handles {
-            let entry = match handle.join() {
-                Ok(Ok(output)) => {
-                    info!(agent = i, "explore subagent completed");
-                    emit_completed(&turn_events_clone, EXPLORE_IDS[i], EXPLORE_LABELS[i]);
-                    (i, output, true)
-                }
-                Ok(Err(e)) => {
-                    warn!(agent = i, error = %e, "explore subagent failed");
-                    emit_failed(
-                        &turn_events_clone,
-                        EXPLORE_IDS[i],
-                        EXPLORE_LABELS[i],
-                        &e.to_string(),
-                    );
-                    (i, format!("Error: {e}"), false)
-                }
-                Err(e) => {
-                    warn!(agent = i, error = ?e, "explore subagent panicked");
-                    emit_failed(
-                        &turn_events_clone,
-                        EXPLORE_IDS[i],
-                        EXPLORE_LABELS[i],
-                        "thread panicked",
-                    );
-                    (i, format!("Thread panic: {e:?}"), false)
-                }
-            };
-            out.push(entry);
-        }
-        out
-    })
-    .await
-    .context("explore join task panicked")?;
-
-    // ── 5. Build consolidated context ───────────────────────────────────
-    Ok(build_explore_context(&results))
-}
-
-// ---------------------------------------------------------------------------
-//  Consolidation
-// ---------------------------------------------------------------------------
-
-/// Format explore results as a system-level context message.
-fn build_explore_context(results: &[(usize, String, bool)]) -> String {
-    let success_count = results.iter().filter(|r| r.2).count();
-    let total = results.len();
-
-    let mut msg = format!("[Explore Phase — {success_count}/{total} agents succeeded]\n\n");
-
-    for (i, output, success) in results {
-        let label = EXPLORE_LABELS.get(*i).unwrap_or(&"❓ Unknown");
-        if *success {
-            msg.push_str(&format!("=== {label} ===\n{output}\n\n"));
-        } else {
-            msg.push_str(&format!("=== {label} (FAILED) ===\n{output}\n\n"));
+        let mut out = format!("[Codebase scout report]\n{goal}\n\n----------\n{}", result);
+        if out.len() > EXPLORE_OUTPUT_MAX_CHARS {
+            warn!(
+                "explore_codebase output truncated: {} chars -> {}",
+                out.len(),
+                EXPLORE_OUTPUT_MAX_CHARS
+            );
+            out.truncate(EXPLORE_OUTPUT_MAX_CHARS);
+            out.push_str("\n...[truncated]");
        }
+        Ok(out)
    }
-
-    msg
 }
@@ -42,6 +42,7 @@ pub fn all_tools() -> Vec<Box<dyn super::Tool>> {
        // ── Best-practice tools (built-in) ─────────────────────────
        Box::new(super::best_practice::BestPractice),
        Box::new(super::best_practice::CommitConvention),
+        Box::new(crate::best_practice::explore::ExploreCodebase),
    ]
 }

@@ -110,13 +110,6 @@ pub fn spawn_agent_turn(state: &mut AppStateRest, text: String) {
        api_base: api_base.clone(),
    };

-    // Clone credentials before moving into LlmClient.
-    let explore_api_key = api_key.clone();
-    let explore_model = model.clone();
-    let explore_base_url = api_base
-        .clone()
-        .unwrap_or_else(|| "https://api.openai.com/v1".to_string());
-
    let client = std::sync::Arc::new(LlmClient::new(api_key, model, api_base));

    let tool_ctx = ToolCtx::builder()
@@ -125,29 +118,12 @@ pub fn spawn_agent_turn(state: &mut AppStateRest, text: String) {
        .turn_events(turn_events)
        .build();

-    // Clone ToolCtx for the explore service (before moving into executor).
-    let explore_ctx = tool_ctx.clone();
-
    let tool_executor = std::sync::Arc::new(InfrastructureToolExecutor::new(tool_ctx));

    let tools = all_tools();
    let defs = tool_defs(&tools);

-    // Wire the mandatory explore phase (3+ parallel subagents).
-    let explore_creds = zesdex_infrastructure::best_practice::explore::Credentials {
-        base_url: explore_base_url,
-        api_key: explore_api_key,
-        model: explore_model,
-    };
-    let explore_service = std::sync::Arc::new(
-        zesdex_infrastructure::best_practice::explore::ExploreServiceImpl::new(
-            explore_ctx,
-            explore_creds,
-        ),
-    );
-
-    let turn_service =
-        AgentTurnServiceImpl::new(client, tool_executor, defs).with_explore(explore_service);
+    let turn_service = AgentTurnServiceImpl::new(client, tool_executor, defs);

    tokio::spawn(async move {
        let _ = turn_service.run_turn(params).await;
Author	SHA1	Message	Date
semantic-release-bot	3847c0e6fd	chore(release): 1.19.1 [skip ci] ## [1.19.1](https://github.com/asepharyana/zesdex/compare/v1.19.0...v1.19.1) (2026-08-27) ### Performance Improvements * agent: rombak alur AI agent — adaptif, hemat token, self-healing ([`eac0443`](https://github.com/asepharyana/zesdex/commit/eac0443c4c3b8bfcbefd4bad9554168fb6525b94))	2026-08-27 16:10:48 +00:00
asepharyana	5023e5dfa1	chore: sinkronkan Cargo.lock dengan versi 1.19.0	2026-08-27 23:06:57 +07:00
asepharyana	eac0443c4c	perf(agent): rombak alur AI agent — adaptif, hemat token, self-healing Ganti explore phase MANDATORY (3 subagent tiap turn, boros) dengan tool explore_codebase yang DIPUTUSKAN agent sendiri (lazy, token-aware): - hapus ExploreService trait + with_explore + Phase 0 dari turn loop - ExploreServiceImpl kini jadi tool 'explore_codebase' (1 context-scout subagent, read-only, cap output 4k chars) - system prompt: instruksi TOKEN BUDGET (jawab langsung utk query simple, panggil explore_codebase sekali utk task kompleks) Loop utama kini adaptif & self-healing: - max_tokens adaptif (800/1600/4096 by request length) — bukan selalu 4096 - temperature 0.2 saat tool-calling, 0.7 utk final answer - ErrorTracker: deteksi tool error berulang → inject recovery note, stop setelah 8 error total (bukan 50 iterasi sia-sia) - auto-compact history > 60k chars sebelum LLM call - tool output di-truncate ke 12k chars sebelum masuk konteks Tambah 8 unit test (truncation, adaptive tokens, error tracker).	2026-08-27 23:06:37 +07:00
asepharyana	14f3eae62a	a	2026-08-27 23:06:37 +07:00