merge: resolve conflicts for PR #800 and #822 into staging (#881)

* fix(ci): secrets can't be used in step if conditions [skip-regression-check] (#787)

GitHub Actions step-level `if:` doesn't have access to `secrets` context.
Replace `if: secrets.X != ''` with `continue-on-error: true` and let
the Set token step handle the fallback.

Co-authored-by: Claude Sonnet 4.6 <[email protected]>

* fix(ci): clean up staging pipeline — remove hacks, skip redundant checks [skip-regression-check] (#794)

- Remove continue-on-error from staging-ci.yml app token steps (secrets are configured)
- Skip test.yml and code_style.yml on PRs targeting staging (staging-ci.yml
  already runs tests before promoting, promotion PR gets full CI on main)
- Allow ironclaw-ci[bot] in Claude Code review for bot-created promotion PRs

Co-authored-by: Claude Opus 4.6 <[email protected]>

* fix(ci): run fmt + clippy on staging PRs, skip Windows clippy [skip-regression-check] (#802)

- Remove branches:[main] filter from code_style.yml so it runs on all PRs
- Gate clippy-windows with `if: github.base_ref == 'main'` (skip on staging PRs)
- Update rollup job to allow skipped clippy-windows
- Simplify claude-review.yml to only trigger on labeled event (avoids duplicate runs)

Co-authored-by: Claude Opus 4.6 <[email protected]>

* feat: persist user_id in save_job and expose job_id on routine runs (#709)

* feat: persist worker events to DB and fix activity tab rendering

In-process Worker (used by Scheduler::dispatch_job) now persists events
via save_job_event at key execution points: plan creation, LLM
responses, tool_use, tool_result, and job completion/failure/stuck.
Event data shapes match the container worker format so the gateway
activity tab renders them correctly.

Frontend: tool_result errors now show a red X icon with danger styling
instead of a silent empty output. The result event falls back to the
error field when message is absent.

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* feat: wire RoutineEngine into gateway for direct manual trigger firing

Replace the message-channel hack in routines_trigger_handler with a
direct call to RoutineEngine::fire_manual(), ensuring FullJob routines
dispatch correctly when triggered from the web UI. Inject the engine
into GatewayState from Agent::run after construction.

Also persists user_id in save_job for both PG and libSQL backends,
removes the source='sandbox' filter so all jobs are visible, and
exposes job_id on RoutineRunInfo for the frontend job link.

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: remove stale gateway_state argument from Agent::new test call sites

The gateway_state parameter was removed from Agent::new during rebase
(replaced by post-construction set_routine_engine_slot), but three test
call sites still passed the extra None argument.

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: address PR review — restore sandbox source filter, remove blank lines

- Revert removal of `source = 'sandbox'` filter in all SandboxStore
  queries (8 sites across PG and libSQL). Sandbox-specific APIs should
  stay scoped to sandbox jobs; unified job listing for the Jobs tab
  should use a separate query path.
- Remove extra blank lines in agent_loop.rs and worker.rs that caused
  formatting CI failure.

[skip-regression-check]

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: address review — regenerate Cargo.lock, add user_id regression test

- Regenerate Cargo.lock from main's lockfile to eliminate dependency
  version downgrades (anyhow, syn, etc.) that were churn from rebase.
- Add regression test verifying user_id round-trips through save_job
  and get_job in the libSQL backend.

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* style: remove trailing blank line in libsql jobs.rs

[skip-regression-check]

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* test: add Postgres-side regression test for user_id persistence in save_job

Mirrors the existing libSQL test (test_save_job_persists_user_id) for the
Postgres backend. Gated behind #[cfg(feature = "postgres")] + #[ignore]
since it requires a running PostgreSQL instance (integration tier).

Co-Authored-By: Claude Opus 4.6 <[email protected]>

---------

Co-authored-by: Claude Opus 4.6 <[email protected]>

* refactor: unify three agentic loops into single AgenticLoop engine (#654)

Replace three independent copy-pasted agentic loops (dispatcher, worker,
container runtime) with a single shared engine in `agentic_loop.rs` that
all consumers customize via the `LoopDelegate` trait.

Phase 1 — Shared engine (`src/agent/agentic_loop.rs`, 205 lines):
  - `run_agentic_loop()` owns the core LLM → tool exec → repeat cycle
  - `LoopDelegate` trait (Send + Sync, &dyn dispatch) with 6 hook points
  - Tool intent nudge logic consolidated (was duplicated in 3 files)
  - Iteration limit + force-text behavior preserved

Phase 2 — Three delegate implementations:
  - `ChatDelegate` (dispatcher.rs): 3-phase approval flow, hooks, cost
    guard, context compaction, skill attenuation, interruption
  - `JobDelegate` (worker/job.rs): planning pre-loop phase, parallel
    JoinSet exec, mark_completed/stuck/failed, SSE streaming, self-repair
  - `ContainerDelegate` (worker/container.rs): sequential tool exec,
    HTTP-proxied LLM, container-safe tools, credential injection

Phase 3 — File moves and cleanup:
  - Delete `src/agent/worker.rs` — job logic moved to `src/worker/job.rs`
  - Rename `src/worker/runtime.rs` → `src/worker/container.rs`
  - Re-export `Worker`/`WorkerDeps` from `crate::worker` in `agent/mod.rs`
  - Update `scheduler.rs` imports to new worker location

Shared helpers (`src/tools/execute.rs`):
  - `execute_tool_with_safety()` replaces 4 copies of validate → timeout
    → execute → serialize
  - `process_tool_result()` replaces 3 copies of sanitize → wrap →
    ChatMessage (also used by thread_ops.rs approval resume paths)

Net result: -2,408 lines, zero duplicated loop logic, single code path
for tool intent nudge and completion detection.

Closes #654

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: address review feedback from Copilot

1. scheduler.rs: Replace `unwrap_or` fallback with proper error
   propagation when parsing tool output JSON — surfaces bugs instead
   of silently changing the output type.

2. worker/job.rs: Drop MutexGuard before the cancellation `.await` in
   `check_signals()` to avoid holding a lock across an async I/O call
   (prevents `await_holding_lock` lint).

3. worker/job.rs: Restore consecutive rate-limit counter
   (MAX_CONSECUTIVE_RATE_LIMITS = 10) so sustained rate limiting marks
   the job stuck with "Persistent rate limiting" instead of silently
   burning through max_iterations.

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: incorporate staging changes — token budget tracking + mark_failed

Merge staging's changes into the refactored JobDelegate:
- Add token budget tracking in call_llm (update_context/add_tokens)
- mark_stuck → mark_failed for iteration cap and rate-limit exhaustion
  (aligns with staging's #788 fix)

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: address zmanian's PR review — eliminate type erasure, clean up

Address all 6 review points from zmanian on PR #800:

1. Replace LoopOutcome::Custom(Box<dyn Any>) with typed
   LoopOutcome::NeedApproval(Box<PendingApproval>) — eliminates
   type erasure and downcast, resolves clippy large_enum_variant.

2. Remove dead max_tool_iterations field from ChatDelegate struct.

3. Add on_tool_intent_nudge() hook to LoopDelegate trait with
   implementations in Job and Container delegates for observability.

4. Fix SSE events in job worker to emit raw sanitized content
   instead of XML-wrapped <tool_output> tags.

5. Remove 4 duplicate completion tests from job.rs that were
   already covered by the shared util module.

6. Avoid logging full tool results — use result_size_bytes in
   debug logs (execute.rs, job.rs).

Also updates path references in CLAUDE.md, COVERAGE_PLAN.md,
and add-sse-event.md command.

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* feat(doctor): expand diagnostics from 7 to 16 health checks

* test: add unit tests for agentic_loop and execute shared modules

Add 16 tests covering the two new critical shared modules:

agentic_loop.rs (10 tests):
- Text response exits loop immediately
- Tool call → text response continuation
- LoopSignal::Stop exits before LLM call
- LoopSignal::InjectMessage adds user message to context
- Max iterations terminates with LoopOutcome::MaxIterations
- Tool intent nudge fires twice then caps
- before_llm_call early exit bypasses LLM
- truncate_for_preview: short string, long string, multibyte safety

execute.rs (6 tests):
- execute_tool_with_safety success path
- Missing tool returns ToolError::NotFound
- Tool execution failure propagates
- Per-tool timeout enforcement (50ms)
- process_tool_result XML wrapping on success
- process_tool_result error formatting

All 2,777 unit tests pass, 0 clippy warnings.

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* style: cargo fmt

Co-Authored-By: Claude Opus 4.6 <[email protected]>

* fix: address code review — 9 issues across agentic loop, job worker, container

CRITICAL fixes:
- Rate-limit exhaustion now returns Err(LlmError::RateLimited) instead of
  Ok(Text("")), stopping the loop immediately with no ghost iteration.
  Below-threshold retries still use Text("") with an explicit empty-string
  guard in handle_text_response to skip injection.
- check_signals drains the entire message channel before returning,
  prioritizing Stop over UserMessage. Previously returned early on first
  UserMessage, silently dropping any queued Stop or additional messages.
- check_signals now detects all non-progressing job states (Cancelled,
  Failed, Stuck, Completed, Submitted, Accepted) instead of only
  Cancelled and Failed.

HIGH fixes:
- Error path in process_tool_result_job applies truncate_for_preview to
  bound error strings in SSE/DB events (was unbounded).
- Document Send+Sync lifetime constraint on LoopDelegate trait.
- Test mock before_llm_call refactored from double-lock to single lock
  acquisition, eliminating deadlock risk on refactor.

MEDIUM fixes:
- CompletionReport includes actual iteration count via shared
  Arc<Mutex<u32>> tracker (was hardcoded 0).
- process_tool_result_job return type changed from Result<bool> to
  Result<()> — the bool was always false (dead API).
- Deduplicate truncate in container.rs; now uses truncate_for_preview
  from agentic_loop.

Verified: 0 clippy warnings, 2781 tests pass, cargo fmt clean.

Co-Authored-By: Claude Opus 4.6 <[email protected]>

---------

Co-authored-by: Henry Park <[email protected]>
Co-authored-by: Claude Sonnet 4.6 <[email protected]>
Co-authored-by: Illia Polosukhin <[email protected]>
Co-authored-by: Umesh Kumar Singh <[email protected]>
Co-authored-by: reidliu41 <[email protected]>
This commit is contained in:
Zaki Manian
2026-03-10 11:19:23 -07:00
committed by GitHub
co-authored by Henry Park Claude Sonnet 4.6 Illia Polosukhin Umesh Kumar Singh reidliu41
parent ebb22094a5
commit 88f4894a18
18 changed files with 3253 additions and 1904 deletions
+1 -1
View File
@@ -64,7 +64,7 @@ If the event needs custom UI (cards, badges, etc.), add styles. Follow the exist
Identify where in the backend this event should be triggered. Common locations:
- `src/agent/agent_loop.rs` - During message processing or tool execution
- `src/agent/worker.rs` - During job execution
- `src/worker/job.rs` - During job execution
- `src/agent/heartbeat.rs` - During periodic execution
Use the existing pattern:
+2 -1
View File
@@ -99,7 +99,8 @@ src/
│ └── job_manager.rs # Container lifecycle (create, stop, cleanup)
├── worker/ # Runs inside Docker containers
│ ├── runtime.rs # Worker execution loop (tool calls, LLM)
│ ├── container.rs # Container worker runtime (ContainerDelegate + shared agentic loop)
│ ├── job.rs # Background job worker (JobDelegate + shared agentic loop)
│ ├── claude_bridge.rs # Claude Code bridge (spawns claude CLI)
│ └── proxy_llm.rs # LlmProvider that proxies through orchestrator
+4 -4
View File
@@ -63,12 +63,12 @@ These files account for the vast majority of the coverage gap:
| `src/main.rs` | 740 | 522 | 29.4% | 485 |
| `src/channels/web/handlers/jobs.rs` | 513 | 456 | 11.1% | 430 |
| `src/tools/builder/core.rs` | 524 | 456 | 13.0% | 429 |
| `src/agent/worker.rs` | 1,078 | 467 | 56.7% | 413 |
| `src/worker/job.rs` | 1,078 | 467 | 56.7% | 413 |
| `src/channels/web/handlers/chat.rs` | 564 | 417 | 26.1% | 388 |
| `src/tools/wasm/wrapper.rs` | 1,005 | 436 | 56.6% | 385 |
| `src/channels/signal.rs` | 1,814 | 472 | 74.0% | 381 |
| `src/tools/mcp/auth.rs` | 472 | 378 | 19.9% | 354 |
| `src/worker/runtime.rs` | 350 | 330 | 5.7% | 312 |
| `src/worker/container.rs` | 350 | 330 | 5.7% | 312 |
| `src/tools/builtin/job.rs` | 1,014 | 359 | 64.6% | 308 |
| `src/cli/mcp.rs` | 322 | 319 | 0.9% | 302 |
| `src/cli/oauth_defaults.rs` | 730 | 335 | 54.1% | 298 |
@@ -346,7 +346,7 @@ Test slash commands through the agent loop.
### Trace: Worker Multi-Turn Execution
**Covers:** `agent/worker.rs` (+413 lines), `agent/agent_loop.rs` (+207 lines)
**Covers:** `worker/job.rs` (+413 lines), `agent/agent_loop.rs` (+207 lines)
Test multi-turn tool calling, error recovery, and completion flows.
@@ -769,7 +769,7 @@ HTTP proxy for container network access.
- `test_proxy_connect_tunnel` -- HTTPS CONNECT method handling
- `test_proxy_logging` -- request/response logging
### `src/worker/runtime.rs` -- 5.7% -> 95% (+312 lines)
### `src/worker/container.rs` -- 5.7% -> 95% (+312 lines)
Worker execution loop (runs inside containers).
+2 -2
View File
@@ -46,7 +46,7 @@ This document tracks feature parity between IronClaw (Rust implementation) and O
| Bonjour/mDNS discovery | ✅ | ❌ | |
| Tailscale integration | ✅ | ❌ | |
| Health check endpoints | ✅ | ✅ | /api/health + /api/gateway/status + /healthz + /readyz, with channel-backed readiness probes |
| `doctor` diagnostics | ✅ | | |
| `doctor` diagnostics | ✅ | 🚧 | 16 checks: settings, LLM, DB, embeddings, routines, gateway, MCP, skills, secrets, service, Docker daemon, tunnel binaries |
| Agent event broadcast | ✅ | 🚧 | SSE broadcast manager exists (SseManager) but tool/job-state events not fully wired |
| Channel health monitor | ✅ | ❌ | Auto-restart with configurable interval |
| Presence system | ✅ | ❌ | Beacons on connect, system presence for agents |
@@ -175,7 +175,7 @@ This document tracks feature parity between IronClaw (Rust implementation) and O
| `message send` | ✅ | ❌ | P2 | Send to channels |
| `browser` | ✅ | ❌ | P3 | Browser automation |
| `sandbox` | ✅ | ✅ | - | WASM sandbox |
| `doctor` | ✅ | | P2 | Diagnostics |
| `doctor` | ✅ | 🚧 | P2 | 16 subsystem checks |
| `logs` | ✅ | ❌ | P3 | Query logs |
| `update` | ✅ | ❌ | P3 | Self-update |
| `completion` | ✅ | ✅ | - | Shell completion |
+19 -16
View File
@@ -14,7 +14,8 @@ Core agent logic. This is the most complex subsystem — read this before workin
| `session_manager.rs` | Lifecycle: create/lookup sessions, map external thread IDs to internal UUIDs, prune stale sessions, manage undo managers. |
| `router.rs` | Routes explicit `/commands` to `MessageIntent`. Natural language bypasses the router entirely. |
| `scheduler.rs` | Parallel job scheduling. Maintains `jobs` map (full LLM-driven) and `subtasks` map (tool-exec/background). |
| `worker.rs` | Per-job execution for background scheduler jobs: calls LLM, runs tools, handles the reasoning loop. Distinct from `dispatcher.rs`. |
| *(moved to `src/worker/job.rs`)* | Per-job execution now lives in `src/worker/job.rs` as `JobDelegate`, using the shared `run_agentic_loop()` engine. |
| `agentic_loop.rs` | Shared agentic loop engine: `run_agentic_loop()`, `LoopDelegate` trait, `LoopOutcome`, `LoopSignal`, `TextAction`. All three execution paths (chat, job, container) delegate to this. |
| `compaction.rs` | Context window management: summarize old turns, write to workspace daily log, trim context. Three strategies. |
| `context_monitor.rs` | Detects memory pressure. Suggests `CompactionStrategy` based on usage level. |
| `self_repair.rs` | Detects stuck jobs and broken tools, attempts recovery. |
@@ -49,26 +50,28 @@ Session (per user)
## Agentic Loop (dispatcher.rs)
The `dispatcher.rs` module handles **direct conversational turns** (user messages processed inline by the main agent). Background scheduler jobs use `worker.rs` instead — these are two separate execution paths.
All three execution paths (chat, job, container) now use the shared `run_agentic_loop()` engine in `agentic_loop.rs`, each providing their own `LoopDelegate` implementation:
- **`ChatDelegate`** (`dispatcher.rs`) — conversational turns, tool approval, skill context injection
- **`JobDelegate`** (`src/worker/job.rs`) — background scheduler jobs, planning support, completion detection
- **`ContainerDelegate`** (`src/worker/container.rs`) — Docker container worker, sequential tool exec, HTTP event streaming
```
run_agentic_loop() [dispatcher.rs — conversational turns]
1. Load workspace system prompt (identity files: AGENTS.md, SOUL.md, etc.)
2. Detect group chat from metadata; exclude MEMORY.md if group chat
3. Select active skills (keyword/pattern scoring against message content)
4. Build skill context block (injected before user message)
5. LLM call → text response OR tool calls
6. If tool calls:
a. Check tool approval (session auto-approvals, pending approval queue)
b. Execute tools (parallel via JoinSet)
c. Sanitize results through SafetyLayer
d. Feed results back → goto 5
7. Return AgenticLoopResult::Response or NeedApproval
run_agentic_loop(delegate, reasoning, reason_ctx, config)
1. Check signals (stop/cancel) via delegate.check_signals()
2. Pre-LLM hook via delegate.before_llm_call()
3. LLM call via delegate.call_llm()
4. If text response → delegate.handle_text_response() → Continue or Return
5. If tool callsdelegate.execute_tool_calls() → Continue or Return
6. Post-iteration hook via delegate.after_iteration()
7. Repeat until LoopOutcome returned or max_iterations reached
```
**Tool approval:** Tools flagged `requires_approval` pause the loop and return `NeedApproval`. The web gateway stores the `PendingApproval` in session state and sends an `approval_needed` SSE event. The user's approval/deny resumes the loop.
**Tool approval:** Tools flagged `requires_approval` pause the loop `ChatDelegate` returns `LoopOutcome::NeedApproval(pending)`. The web gateway stores the `PendingApproval` in session state and sends an `approval_needed` SSE event. The user's approval/deny resumes the loop.
**worker.rs vs dispatcher.rs:** `dispatcher.rs` runs the agentic loop for user-initiated conversational turns (holds session lock, tracks turns). `worker.rs` is spawned by the `Scheduler` for background jobs created via `CreateJob` / `/job` — it runs independently of the session and has its own LLM reasoning loop with planning support (`use_planning` flag).
**Shared tool execution:** `tools/execute.rs` provides `execute_tool_with_safety()` (validate → timeout → execute → serialize) and `process_tool_result()` (sanitize → wrap → ChatMessage), used by all three delegates.
**ChatDelegate vs JobDelegate:** `ChatDelegate` runs for user-initiated conversational turns (holds session lock, tracks turns). `JobDelegate` is spawned by the `Scheduler` for background jobs created via `CreateJob` / `/job` — it runs independently of the session and has planning support (`use_planning` flag).
## Command Routing (router.rs)
+587
View File
@@ -0,0 +1,587 @@
//! Unified agentic loop engine.
//!
//! Provides a single implementation of the core LLM call → tool execution →
//! result processing → context update → repeat cycle. Three consumers
//! (chat dispatcher, job worker, container runtime) customize behavior
//! via the `LoopDelegate` trait.
use async_trait::async_trait;
use crate::agent::session::PendingApproval;
use crate::error::Error;
use crate::llm::{ChatMessage, Reasoning, ReasoningContext, RespondResult};
/// Signal from the delegate indicating how the loop should proceed.
pub enum LoopSignal {
/// Continue normally.
Continue,
/// Stop the loop gracefully.
Stop,
/// Inject a user message into context and continue.
InjectMessage(String),
}
/// Outcome of a text response from the LLM.
pub enum TextAction {
/// Return this as the final loop result.
Return(LoopOutcome),
/// Continue the loop (text was handled but loop should proceed).
Continue,
}
/// Final outcome of the agentic loop.
pub enum LoopOutcome {
/// Completed with a text response.
Response(String),
/// Loop was stopped by a signal.
Stopped,
/// Max iterations exceeded.
MaxIterations,
/// A tool requires user approval before continuing (chat delegate only).
NeedApproval(Box<PendingApproval>),
}
/// Configuration for the agentic loop.
pub struct AgenticLoopConfig {
pub max_iterations: usize,
pub enable_tool_intent_nudge: bool,
pub max_tool_intent_nudges: u32,
}
impl Default for AgenticLoopConfig {
fn default() -> Self {
Self {
max_iterations: 50,
enable_tool_intent_nudge: true,
max_tool_intent_nudges: 2,
}
}
}
/// Strategy trait — each consumer implements this to customize I/O and lifecycle.
///
/// The shared loop calls these methods at well-defined points. Consumers
/// implement only the behavior that differs between chat, job, and container
/// contexts. The loop itself handles the common logic: tool intent nudge,
/// iteration counting, tool definition refresh, and the respond → execute → process cycle.
///
/// # `Send + Sync` requirement
///
/// This trait requires `Send + Sync` because the loop accepts `&dyn LoopDelegate`.
/// Delegates using borrowed references (e.g. `ChatDelegate<'a>`) must ensure all
/// borrowed fields are `Send + Sync`. This is a load-bearing constraint: if a
/// delegate needs to be spawned into a detached task, it must use `Arc`-based
/// ownership instead of borrows (as `JobDelegate` and `ContainerDelegate` do).
#[async_trait]
pub trait LoopDelegate: Send + Sync {
/// Called at the start of each iteration. Check for external signals
/// (cancellation, user messages, stop requests).
async fn check_signals(&self) -> LoopSignal;
/// Called before the LLM call. Allows the delegate to refresh tool
/// definitions, enforce cost guards, or inject messages.
/// Return `Some(outcome)` to break the loop early.
async fn before_llm_call(
&self,
reason_ctx: &mut ReasoningContext,
iteration: usize,
) -> Option<LoopOutcome>;
/// Call the LLM and return the result. Delegates own the LLM call
/// to handle consumer-specific concerns (rate limiting, auto-compaction,
/// cost tracking, force_text mode).
async fn call_llm(
&self,
reasoning: &Reasoning,
reason_ctx: &mut ReasoningContext,
iteration: usize,
) -> Result<crate::llm::RespondOutput, Error>;
/// Handle a text-only response from the LLM.
/// Return `TextAction::Return` to exit the loop, `TextAction::Continue` to proceed.
async fn handle_text_response(
&self,
text: &str,
reason_ctx: &mut ReasoningContext,
) -> TextAction;
/// Execute tool calls and add results to context.
/// Return `Some(outcome)` to break the loop (e.g. approval needed).
async fn execute_tool_calls(
&self,
tool_calls: Vec<crate::llm::ToolCall>,
content: Option<String>,
reason_ctx: &mut ReasoningContext,
) -> Result<Option<LoopOutcome>, Error>;
/// Called when the LLM expresses tool intent without actually calling a tool.
/// Delegates can use this to emit events or log the nudge for observability.
async fn on_tool_intent_nudge(&self, _text: &str, _reason_ctx: &mut ReasoningContext) {}
/// Called after each successful iteration (no error, no early return).
async fn after_iteration(&self, _iteration: usize) {}
}
/// Run the unified agentic loop.
///
/// This is the single implementation used by all three consumers (chat, job, container).
/// The `delegate` provides consumer-specific behavior via the `LoopDelegate` trait.
pub async fn run_agentic_loop(
delegate: &dyn LoopDelegate,
reasoning: &Reasoning,
reason_ctx: &mut ReasoningContext,
config: &AgenticLoopConfig,
) -> Result<LoopOutcome, Error> {
let mut consecutive_tool_intent_nudges: u32 = 0;
for iteration in 1..=config.max_iterations {
// Check for external signals (stop, cancellation, user messages)
match delegate.check_signals().await {
LoopSignal::Continue => {}
LoopSignal::Stop => return Ok(LoopOutcome::Stopped),
LoopSignal::InjectMessage(msg) => {
reason_ctx.messages.push(ChatMessage::user(&msg));
}
}
// Pre-LLM call hook (cost guard, tool refresh, iteration limit nudge)
if let Some(outcome) = delegate.before_llm_call(reason_ctx, iteration).await {
return Ok(outcome);
}
// Call LLM
let output = delegate.call_llm(reasoning, reason_ctx, iteration).await?;
match output.result {
RespondResult::Text(text) => {
// Tool intent nudge: if the LLM says "let me search..." without
// actually calling a tool, inject a nudge message.
if config.enable_tool_intent_nudge
&& !reason_ctx.available_tools.is_empty()
&& !reason_ctx.force_text
&& consecutive_tool_intent_nudges < config.max_tool_intent_nudges
&& crate::llm::llm_signals_tool_intent(&text)
{
consecutive_tool_intent_nudges += 1;
tracing::info!(
iteration,
"LLM expressed tool intent without calling a tool, nudging"
);
delegate.on_tool_intent_nudge(&text, reason_ctx).await;
reason_ctx.messages.push(ChatMessage::assistant(&text));
reason_ctx
.messages
.push(ChatMessage::user(crate::llm::TOOL_INTENT_NUDGE));
delegate.after_iteration(iteration).await;
continue;
}
// Reset nudge counter since we got a non-intent text response
if !crate::llm::llm_signals_tool_intent(&text) {
consecutive_tool_intent_nudges = 0;
}
match delegate.handle_text_response(&text, reason_ctx).await {
TextAction::Return(outcome) => return Ok(outcome),
TextAction::Continue => {}
}
}
RespondResult::ToolCalls {
tool_calls,
content,
} => {
consecutive_tool_intent_nudges = 0;
if let Some(outcome) = delegate
.execute_tool_calls(tool_calls, content, reason_ctx)
.await?
{
return Ok(outcome);
}
}
}
delegate.after_iteration(iteration).await;
}
Ok(LoopOutcome::MaxIterations)
}
/// Truncate a string for log/status previews.
///
/// `max` is a byte budget. The result is truncated at the last valid char
/// boundary at or before `max` bytes, so it is always valid UTF-8.
pub fn truncate_for_preview(s: &str, max: usize) -> String {
if s.len() <= max {
s.to_string()
} else {
let end = crate::util::floor_char_boundary(s, max);
format!("{}...", &s[..end])
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::llm::{RespondOutput, TokenUsage, ToolCall};
use crate::testing::StubLlm;
use std::sync::Arc;
use std::sync::atomic::{AtomicUsize, Ordering};
use tokio::sync::Mutex;
fn stub_reasoning() -> Reasoning {
Reasoning::new(Arc::new(StubLlm::default()))
}
fn zero_usage() -> TokenUsage {
TokenUsage {
input_tokens: 0,
output_tokens: 0,
cache_read_input_tokens: 0,
cache_creation_input_tokens: 0,
}
}
fn text_output(text: &str) -> RespondOutput {
RespondOutput {
result: RespondResult::Text(text.to_string()),
usage: zero_usage(),
}
}
fn tool_calls_output(calls: Vec<ToolCall>) -> RespondOutput {
RespondOutput {
result: RespondResult::ToolCalls {
tool_calls: calls,
content: None,
},
usage: zero_usage(),
}
}
/// Configurable mock delegate for testing run_agentic_loop.
struct MockDelegate {
signal: Mutex<LoopSignal>,
llm_responses: Mutex<Vec<RespondOutput>>,
tool_exec_count: AtomicUsize,
tool_exec_outcome: Mutex<Option<LoopOutcome>>,
iterations_seen: Mutex<Vec<usize>>,
early_exit: Mutex<Option<(usize, LoopOutcome)>>,
nudge_count: AtomicUsize,
}
impl MockDelegate {
fn new(responses: Vec<RespondOutput>) -> Self {
Self {
signal: Mutex::new(LoopSignal::Continue),
llm_responses: Mutex::new(responses),
tool_exec_count: AtomicUsize::new(0),
tool_exec_outcome: Mutex::new(None),
iterations_seen: Mutex::new(Vec::new()),
early_exit: Mutex::new(None),
nudge_count: AtomicUsize::new(0),
}
}
fn with_signal(mut self, signal: LoopSignal) -> Self {
self.signal = Mutex::new(signal);
self
}
fn with_early_exit(mut self, iteration: usize, outcome: LoopOutcome) -> Self {
self.early_exit = Mutex::new(Some((iteration, outcome)));
self
}
}
#[async_trait]
impl LoopDelegate for MockDelegate {
async fn check_signals(&self) -> LoopSignal {
let mut sig = self.signal.lock().await;
std::mem::replace(&mut *sig, LoopSignal::Continue)
}
async fn before_llm_call(
&self,
_reason_ctx: &mut ReasoningContext,
iteration: usize,
) -> Option<LoopOutcome> {
let mut guard = self.early_exit.lock().await;
let should_take = guard
.as_ref()
.is_some_and(|(target, _)| *target == iteration);
if should_take {
guard.take().map(|(_, o)| o)
} else {
None
}
}
async fn call_llm(
&self,
_reasoning: &Reasoning,
_reason_ctx: &mut ReasoningContext,
_iteration: usize,
) -> Result<crate::llm::RespondOutput, crate::error::Error> {
let mut responses = self.llm_responses.lock().await;
if responses.is_empty() {
panic!("MockDelegate: no more LLM responses queued");
}
Ok(responses.remove(0))
}
async fn handle_text_response(
&self,
text: &str,
_reason_ctx: &mut ReasoningContext,
) -> TextAction {
TextAction::Return(LoopOutcome::Response(text.to_string()))
}
async fn execute_tool_calls(
&self,
_tool_calls: Vec<ToolCall>,
_content: Option<String>,
reason_ctx: &mut ReasoningContext,
) -> Result<Option<LoopOutcome>, crate::error::Error> {
self.tool_exec_count.fetch_add(1, Ordering::SeqCst);
reason_ctx
.messages
.push(ChatMessage::user("tool result stub"));
let outcome = self.tool_exec_outcome.lock().await.take();
Ok(outcome)
}
async fn on_tool_intent_nudge(&self, _text: &str, _reason_ctx: &mut ReasoningContext) {
self.nudge_count.fetch_add(1, Ordering::SeqCst);
}
async fn after_iteration(&self, iteration: usize) {
self.iterations_seen.lock().await.push(iteration);
}
}
// --- Tests ---
#[tokio::test]
async fn test_text_response_returns_immediately() {
let delegate = MockDelegate::new(vec![text_output("Hello, world!")]);
let reasoning = stub_reasoning();
let mut ctx = ReasoningContext::new();
let config = AgenticLoopConfig::default();
let outcome = run_agentic_loop(&delegate, &reasoning, &mut ctx, &config)
.await
.unwrap();
match outcome {
LoopOutcome::Response(text) => assert_eq!(text, "Hello, world!"),
_ => panic!("Expected LoopOutcome::Response"),
}
// after_iteration is NOT called when handle_text_response returns Return
// (the loop exits before reaching after_iteration).
assert!(delegate.iterations_seen.lock().await.is_empty());
}
#[tokio::test]
async fn test_tool_call_then_text_response() {
let tool_call = ToolCall {
id: "call_1".to_string(),
name: "echo".to_string(),
arguments: serde_json::json!({}),
};
let delegate = MockDelegate::new(vec![
tool_calls_output(vec![tool_call]),
text_output("Done!"),
]);
let reasoning = stub_reasoning();
let mut ctx = ReasoningContext::new();
let config = AgenticLoopConfig::default();
let outcome = run_agentic_loop(&delegate, &reasoning, &mut ctx, &config)
.await
.unwrap();
match outcome {
LoopOutcome::Response(text) => assert_eq!(text, "Done!"),
_ => panic!("Expected LoopOutcome::Response"),
}
assert_eq!(delegate.tool_exec_count.load(Ordering::SeqCst), 1);
// after_iteration called for iteration 1 (tool call), but not 2
// (text response exits before after_iteration).
assert_eq!(*delegate.iterations_seen.lock().await, vec![1]);
}
#[tokio::test]
async fn test_stop_signal_exits_immediately() {
let delegate =
MockDelegate::new(vec![text_output("unreachable")]).with_signal(LoopSignal::Stop);
let reasoning = stub_reasoning();
let mut ctx = ReasoningContext::new();
let config = AgenticLoopConfig::default();
let outcome = run_agentic_loop(&delegate, &reasoning, &mut ctx, &config)
.await
.unwrap();
assert!(matches!(outcome, LoopOutcome::Stopped));
assert!(delegate.iterations_seen.lock().await.is_empty());
}
#[tokio::test]
async fn test_inject_message_adds_user_message() {
let delegate = MockDelegate::new(vec![text_output("Got it")])
.with_signal(LoopSignal::InjectMessage("injected prompt".to_string()));
let reasoning = stub_reasoning();
let mut ctx = ReasoningContext::new();
let config = AgenticLoopConfig::default();
let outcome = run_agentic_loop(&delegate, &reasoning, &mut ctx, &config)
.await
.unwrap();
assert!(matches!(outcome, LoopOutcome::Response(_)));
assert!(
ctx.messages
.iter()
.any(|m| m.role == crate::llm::Role::User && m.content.contains("injected prompt")),
"Injected message should appear in context"
);
}
#[tokio::test]
async fn test_max_iterations_reached() {
struct ContinueDelegate;
#[async_trait]
impl LoopDelegate for ContinueDelegate {
async fn check_signals(&self) -> LoopSignal {
LoopSignal::Continue
}
async fn before_llm_call(
&self,
_: &mut ReasoningContext,
_: usize,
) -> Option<LoopOutcome> {
None
}
async fn call_llm(
&self,
_: &Reasoning,
_: &mut ReasoningContext,
_: usize,
) -> Result<crate::llm::RespondOutput, crate::error::Error> {
Ok(text_output("still working"))
}
async fn handle_text_response(
&self,
_: &str,
ctx: &mut ReasoningContext,
) -> TextAction {
ctx.messages.push(ChatMessage::assistant("still working"));
TextAction::Continue
}
async fn execute_tool_calls(
&self,
_: Vec<ToolCall>,
_: Option<String>,
_: &mut ReasoningContext,
) -> Result<Option<LoopOutcome>, crate::error::Error> {
Ok(None)
}
}
let delegate = ContinueDelegate;
let reasoning = stub_reasoning();
let mut ctx = ReasoningContext::new();
let config = AgenticLoopConfig {
max_iterations: 3,
..Default::default()
};
let outcome = run_agentic_loop(&delegate, &reasoning, &mut ctx, &config)
.await
.unwrap();
assert!(matches!(outcome, LoopOutcome::MaxIterations));
let assistant_count = ctx
.messages
.iter()
.filter(|m| m.role == crate::llm::Role::Assistant)
.count();
assert_eq!(assistant_count, 3);
}
#[tokio::test]
async fn test_tool_intent_nudge_fires_and_caps() {
let delegate = MockDelegate::new(vec![
text_output("Let me search for that file"),
text_output("Let me search for that file"),
text_output("Let me search for that file"),
]);
let reasoning = stub_reasoning();
let mut ctx = ReasoningContext::new();
ctx.available_tools.push(crate::llm::ToolDefinition {
name: "search".to_string(),
description: "Search files".to_string(),
parameters: serde_json::json!({"type": "object"}),
});
let config = AgenticLoopConfig {
max_iterations: 10,
enable_tool_intent_nudge: true,
max_tool_intent_nudges: 2,
};
let outcome = run_agentic_loop(&delegate, &reasoning, &mut ctx, &config)
.await
.unwrap();
assert!(matches!(outcome, LoopOutcome::Response(_)));
assert_eq!(delegate.nudge_count.load(Ordering::SeqCst), 2);
let nudge_messages = ctx
.messages
.iter()
.filter(|m| {
m.role == crate::llm::Role::User
&& m.content.contains("you did not include any tool calls")
})
.count();
assert_eq!(
nudge_messages, 2,
"Should have exactly 2 nudge messages in context"
);
}
#[tokio::test]
async fn test_before_llm_call_early_exit() {
let delegate = MockDelegate::new(vec![text_output("unreachable")])
.with_early_exit(1, LoopOutcome::Stopped);
let reasoning = stub_reasoning();
let mut ctx = ReasoningContext::new();
let config = AgenticLoopConfig::default();
let outcome = run_agentic_loop(&delegate, &reasoning, &mut ctx, &config)
.await
.unwrap();
assert!(matches!(outcome, LoopOutcome::Stopped));
assert!(delegate.iterations_seen.lock().await.is_empty());
}
#[test]
fn test_truncate_short_string_unchanged() {
assert_eq!(truncate_for_preview("hello", 10), "hello");
}
#[test]
fn test_truncate_long_string_adds_ellipsis() {
let result = truncate_for_preview("hello world", 5);
assert_eq!(result, "hello...");
}
#[test]
fn test_truncate_multibyte_safe() {
let result = truncate_for_preview("café", 4);
assert_eq!(result, "caf...");
}
}
+710 -803
View File
File diff suppressed because it is too large Load Diff
+3 -3
View File
@@ -11,6 +11,7 @@
//! - Context compaction for long conversations
mod agent_loop;
pub mod agentic_loop;
mod attachments;
mod commands;
pub mod compaction;
@@ -22,7 +23,7 @@ pub mod job_monitor;
mod router;
pub mod routine;
pub mod routine_engine;
mod scheduler;
pub(crate) mod scheduler;
mod self_repair;
pub mod session;
mod session_manager;
@@ -30,8 +31,8 @@ pub mod submission;
pub mod task;
mod thread_ops;
pub mod undo;
pub mod worker;
pub use crate::worker::{Worker, WorkerDeps};
pub(crate) use agent_loop::truncate_for_preview;
pub use agent_loop::{Agent, AgentDeps};
pub use compaction::{CompactionResult, ContextCompactor};
@@ -47,4 +48,3 @@ pub use session_manager::SessionManager;
pub use submission::{Submission, SubmissionParser, SubmissionResult};
pub use task::{Task, TaskContext, TaskHandler, TaskOutput};
pub use undo::{Checkpoint, UndoManager};
pub use worker::{Worker, WorkerDeps};
+21 -35
View File
@@ -9,7 +9,6 @@ use tokio::task::JoinHandle;
use uuid::Uuid;
use crate::agent::task::{Task, TaskContext, TaskOutput};
use crate::agent::worker::{Worker, WorkerDeps};
use crate::channels::web::types::SseEvent;
use crate::config::AgentConfig;
use crate::context::{ContextManager, JobContext, JobState};
@@ -19,6 +18,7 @@ use crate::hooks::HookRegistry;
use crate::llm::LlmProvider;
use crate::safety::SafetyLayer;
use crate::tools::{ApprovalContext, ToolRegistry};
use crate::worker::job::{Worker, WorkerDeps};
/// Message to send to a worker.
#[derive(Debug)]
@@ -462,6 +462,9 @@ impl Scheduler {
}
/// Execute a single tool as a subtask.
///
/// Performs scheduler-specific checks (approval, cancellation) then
/// delegates to the shared `execute_tool_with_safety` pipeline.
async fn execute_tool_task(
tools: Arc<ToolRegistry>,
context_manager: Arc<ContextManager>,
@@ -473,7 +476,7 @@ impl Scheduler {
) -> Result<TaskOutput, Error> {
let start = std::time::Instant::now();
// Get the tool
// Get the tool for approval check
let tool = tools.get(tool_name).await.ok_or_else(|| {
Error::Tool(crate::error::ToolError::NotFound {
name: tool_name.to_string(),
@@ -490,6 +493,7 @@ impl Scheduler {
.into());
}
// Scheduler-specific approval check
let requirement = tool.requires_approval(&params);
let blocked =
ApprovalContext::is_blocked_or_default(&approval_context, tool_name, requirement);
@@ -500,41 +504,23 @@ impl Scheduler {
.into());
}
// Validate tool parameters
let validation = safety.validator().validate_tool_params(&params);
if !validation.is_valid {
let details = validation
.errors
.iter()
.map(|e| format!("{}: {}", e.field, e.message))
.collect::<Vec<_>>()
.join("; ");
return Err(crate::error::ToolError::InvalidParameters {
// Delegate to shared tool execution pipeline
let output_str = crate::tools::execute::execute_tool_with_safety(
&tools, &safety, tool_name, &params, &job_ctx,
)
.await?;
// Parse back to Value for TaskOutput; this should be infallible given
// `execute_tool_with_safety` uses `serde_json::to_string_pretty`, but if it
// ever fails we surface a clear error instead of silently changing types.
let result_value: serde_json::Value = serde_json::from_str(&output_str).map_err(|e| {
Error::Tool(crate::error::ToolError::ExecutionFailed {
name: tool_name.to_string(),
reason: format!("Invalid tool parameters: {}", details),
}
.into());
}
reason: format!("Failed to parse tool output as JSON: {}", e),
})
})?;
// Execute with per-tool timeout
let tool_timeout = tool.execution_timeout();
let result =
tokio::time::timeout(tool_timeout, async { tool.execute(params, &job_ctx).await })
.await
.map_err(|_| {
Error::Tool(crate::error::ToolError::Timeout {
name: tool_name.to_string(),
timeout: tool_timeout,
})
})?
.map_err(|e| {
Error::Tool(crate::error::ToolError::ExecutionFailed {
name: tool_name.to_string(),
reason: e.to_string(),
})
})?;
Ok(TaskOutput::new(result.result, start.elapsed()))
Ok(TaskOutput::new(result_value, start.elapsed()))
}
/// Stop a running job.
+12 -24
View File
@@ -852,19 +852,12 @@ impl Agent {
// Sanitize tool result, then record the cleaned version in the
// thread. Must happen before auth intercept check which may return early.
let is_tool_error = tool_result.is_err();
let result_content = match &tool_result {
Ok(output) => {
let sanitized = self
.safety()
.sanitize_tool_output(&pending.tool_name, output);
self.safety().wrap_for_llm(
&pending.tool_name,
&sanitized.content,
sanitized.was_modified,
)
}
Err(e) => format!("Error: {}", e),
};
let (result_content, _) = crate::tools::execute::process_tool_result(
self.safety(),
&pending.tool_name,
&pending.tool_call_id,
&tool_result,
);
// Record sanitized result in thread
{
@@ -1104,17 +1097,12 @@ impl Agent {
// Sanitize first, then record the cleaned version in thread.
// Must happen before auth detection which may set deferred_auth.
let is_deferred_error = deferred_result.is_err();
let deferred_content = match &deferred_result {
Ok(output) => {
let sanitized = self.safety().sanitize_tool_output(&tc.name, output);
self.safety().wrap_for_llm(
&tc.name,
&sanitized.content,
sanitized.was_modified,
)
}
Err(e) => format!("Error: {}", e),
};
let (deferred_content, _) = crate::tools::execute::process_tool_result(
self.safety(),
&tc.name,
&tc.id,
&deferred_result,
);
// Record sanitized result in thread
{
+541 -5
View File
@@ -7,6 +7,7 @@
use std::path::PathBuf;
use crate::bootstrap::ironclaw_base_dir;
use crate::settings::Settings;
/// Run all diagnostic checks and print results.
pub async fn run_doctor_command() -> anyhow::Result<()> {
@@ -15,14 +16,35 @@ pub async fn run_doctor_command() -> anyhow::Result<()> {
let mut passed = 0u32;
let mut failed = 0u32;
let mut skipped = 0u32;
// ── Configuration checks ──────────────────────────────────
// Load settings once for checks that need them.
let settings = Settings::load();
// ── Settings & core config ─────────────────────────────────
check(
"Settings file",
check_settings_file(),
&mut passed,
&mut failed,
&mut skipped,
);
check(
"NEAR AI session",
check_nearai_session().await,
&mut passed,
&mut failed,
&mut skipped,
);
check(
"LLM configuration",
check_llm_config(&settings),
&mut passed,
&mut failed,
&mut skipped,
);
check(
@@ -30,6 +52,7 @@ pub async fn run_doctor_command() -> anyhow::Result<()> {
check_database().await,
&mut passed,
&mut failed,
&mut skipped,
);
check(
@@ -37,15 +60,75 @@ pub async fn run_doctor_command() -> anyhow::Result<()> {
check_workspace_dir(),
&mut passed,
&mut failed,
&mut skipped,
);
// ── Subsystem configuration checks ─────────────────────────
check(
"Embeddings",
check_embeddings(&settings),
&mut passed,
&mut failed,
&mut skipped,
);
check(
"Routines config",
check_routines_config(),
&mut passed,
&mut failed,
&mut skipped,
);
check(
"Gateway config",
check_gateway_config(&settings),
&mut passed,
&mut failed,
&mut skipped,
);
check(
"MCP servers",
check_mcp_config().await,
&mut passed,
&mut failed,
&mut skipped,
);
check(
"Skills",
check_skills().await,
&mut passed,
&mut failed,
&mut skipped,
);
check(
"Secrets",
check_secrets(&settings),
&mut passed,
&mut failed,
&mut skipped,
);
check(
"Service",
check_service_installed(),
&mut passed,
&mut failed,
&mut skipped,
);
// ── External binary checks ────────────────────────────────
check(
"Docker",
check_binary("docker", &["--version"]),
"Docker daemon",
check_docker_daemon().await,
&mut passed,
&mut failed,
&mut skipped,
);
check(
@@ -53,6 +136,7 @@ pub async fn run_doctor_command() -> anyhow::Result<()> {
check_binary("cloudflared", &["--version"]),
&mut passed,
&mut failed,
&mut skipped,
);
check(
@@ -60,6 +144,7 @@ pub async fn run_doctor_command() -> anyhow::Result<()> {
check_binary("ngrok", &["version"]),
&mut passed,
&mut failed,
&mut skipped,
);
check(
@@ -67,12 +152,13 @@ pub async fn run_doctor_command() -> anyhow::Result<()> {
check_binary("tailscale", &["version"]),
&mut passed,
&mut failed,
&mut skipped,
);
// ── Summary ───────────────────────────────────────────────
println!();
println!(" {passed} passed, {failed} failed");
println!(" {passed} passed, {failed} failed, {skipped} skipped");
if failed > 0 {
println!("\n Some checks failed. This is normal if you don't use those features.");
@@ -83,7 +169,7 @@ pub async fn run_doctor_command() -> anyhow::Result<()> {
// ── Individual checks ───────────────────────────────────────
fn check(name: &str, result: CheckResult, passed: &mut u32, failed: &mut u32) {
fn check(name: &str, result: CheckResult, passed: &mut u32, failed: &mut u32, skipped: &mut u32) {
match result {
CheckResult::Pass(detail) => {
*passed += 1;
@@ -94,6 +180,7 @@ fn check(name: &str, result: CheckResult, passed: &mut u32, failed: &mut u32) {
println!(" [FAIL] {name}: {detail}");
}
CheckResult::Skip(reason) => {
*skipped += 1;
println!(" [skip] {name}: {reason}");
}
}
@@ -105,6 +192,29 @@ enum CheckResult {
Skip(String),
}
// ── Settings file ───────────────────────────────────────────
fn check_settings_file() -> CheckResult {
let path = Settings::default_path();
if !path.exists() {
return CheckResult::Pass("no settings file (defaults will be used)".into());
}
match std::fs::read_to_string(&path) {
Ok(data) => match serde_json::from_str::<serde_json::Value>(&data) {
Ok(_) => CheckResult::Pass(format!("valid ({})", path.display())),
Err(e) => CheckResult::Fail(format!(
"settings.json is malformed: {}. Fix or delete {}",
e,
path.display()
)),
},
Err(e) => CheckResult::Fail(format!("cannot read {}: {}", path.display(), e)),
}
}
// ── NEAR AI session ─────────────────────────────────────────
async fn check_nearai_session() -> CheckResult {
// Check if session file exists
let session_path = crate::config::llm::default_session_path();
@@ -129,6 +239,27 @@ async fn check_nearai_session() -> CheckResult {
}
}
// ── LLM configuration ──────────────────────────────────────
fn check_llm_config(settings: &Settings) -> CheckResult {
match crate::llm::LlmConfig::resolve(settings) {
Ok(config) => {
// Show the model for the active backend, not always nearai.model.
let model = if let Some(ref bedrock) = config.bedrock {
&bedrock.model
} else if let Some(ref provider) = config.provider {
&provider.model
} else {
&config.nearai.model
};
CheckResult::Pass(format!("backend={}, model={}", config.backend, model))
}
Err(e) => CheckResult::Fail(format!("LLM config error: {e}")),
}
}
// ── Database ────────────────────────────────────────────────
async fn check_database() -> CheckResult {
let backend = std::env::var("DATABASE_BACKEND")
.ok()
@@ -192,6 +323,8 @@ async fn try_pg_connect() -> Result<(), String> {
Err("postgres feature not compiled in".into())
}
// ── Workspace directory ─────────────────────────────────────
fn check_workspace_dir() -> CheckResult {
let dir = ironclaw_base_dir();
@@ -206,6 +339,222 @@ fn check_workspace_dir() -> CheckResult {
}
}
// ── Embeddings ──────────────────────────────────────────────
fn check_embeddings(settings: &Settings) -> CheckResult {
match crate::config::EmbeddingsConfig::resolve(settings) {
Ok(config) => {
if !config.enabled {
return CheckResult::Skip("disabled (set EMBEDDING_ENABLED=true)".into());
}
let has_creds = match config.provider.as_str() {
"openai" => config.openai_api_key().is_some(),
"nearai" => {
// NearAiEmbeddings uses SessionManager::get_token() which
// only returns session tokens, NOT NEARAI_API_KEY
// (src/workspace/embeddings.rs:309, src/llm/session.rs:132).
let session_path = crate::config::llm::default_session_path();
session_path.exists()
&& std::fs::read_to_string(&session_path)
.map(|s| !s.trim().is_empty())
.unwrap_or(false)
}
"ollama" => true, // local, no creds needed
_ => config.openai_api_key().is_some(),
};
if has_creds {
CheckResult::Pass(format!(
"provider={}, model={}",
config.provider, config.model
))
} else {
let hint = match config.provider.as_str() {
"nearai" => "run `ironclaw onboard` to create a session",
_ => "set OPENAI_API_KEY",
};
CheckResult::Fail(format!(
"provider={} but credentials missing ({})",
config.provider, hint
))
}
}
Err(e) => CheckResult::Fail(format!("config error: {e}")),
}
}
// ── Routines config ─────────────────────────────────────────
fn check_routines_config() -> CheckResult {
match crate::config::RoutineConfig::resolve() {
Ok(config) => {
if config.enabled {
CheckResult::Pass(format!(
"enabled (interval={}s, max_concurrent={})",
config.cron_check_interval_secs, config.max_concurrent_routines
))
} else {
CheckResult::Skip("disabled".into())
}
}
Err(e) => CheckResult::Fail(format!("config error: {e}")),
}
}
// ── Gateway config ──────────────────────────────────────────
fn check_gateway_config(settings: &Settings) -> CheckResult {
// Use the same resolve() path as runtime so invalid env values
// (e.g. GATEWAY_PORT=abc) are caught here too.
match crate::config::ChannelsConfig::resolve(settings) {
Ok(channels) => match channels.gateway {
Some(gw) => {
if gw.auth_token.is_some() {
CheckResult::Pass(format!(
"enabled at {}:{} (auth token set)",
gw.host, gw.port
))
} else {
CheckResult::Pass(format!(
"enabled at {}:{} (no auth token — random token will be generated)",
gw.host, gw.port
))
}
}
None => CheckResult::Skip("disabled (GATEWAY_ENABLED=false)".into()),
},
Err(e) => CheckResult::Fail(format!("config error: {e}")),
}
}
// ── MCP servers ─────────────────────────────────────────────
async fn check_mcp_config() -> CheckResult {
match crate::tools::mcp::config::load_mcp_servers().await {
Ok(file) => {
let servers: Vec<_> = file.enabled_servers().collect();
if servers.is_empty() {
return CheckResult::Skip("no MCP servers configured".into());
}
let mut invalid = Vec::new();
for server in &servers {
if let Err(e) = server.validate() {
invalid.push(format!("{}: {}", server.name, e));
}
}
if invalid.is_empty() {
CheckResult::Pass(format!("{} server(s) configured, all valid", servers.len()))
} else {
CheckResult::Fail(format!(
"{} server(s), {} invalid: {}",
servers.len(),
invalid.len(),
invalid.join("; ")
))
}
}
Err(e) => {
// Distinguish no config from corrupted config
let msg = e.to_string();
if msg.contains("not found") || msg.contains("No such file") {
CheckResult::Skip("no MCP config file".into())
} else {
CheckResult::Fail(format!("config error: {e}"))
}
}
}
}
// ── Skills ──────────────────────────────────────────────────
async fn check_skills() -> CheckResult {
let user_dir = ironclaw_base_dir().join("skills");
let installed_dir = ironclaw_base_dir().join("installed_skills");
let mut registry = crate::skills::SkillRegistry::new(user_dir.clone());
registry = registry.with_installed_dir(installed_dir);
// discover_all() returns loaded skill names (not warnings).
let _loaded_names = registry.discover_all().await;
let count = registry.count();
if count == 0 {
return CheckResult::Skip("no skills discovered".into());
}
CheckResult::Pass(format!("{count} skill(s) loaded"))
}
// ── Secrets ─────────────────────────────────────────────────
fn check_secrets(settings: &Settings) -> CheckResult {
match settings.secrets_master_key_source {
crate::settings::KeySource::Keychain => {
CheckResult::Pass("master key source: OS keychain".into())
}
crate::settings::KeySource::Env => {
if std::env::var("SECRETS_MASTER_KEY").is_ok() {
CheckResult::Pass("master key source: env var (set)".into())
} else {
CheckResult::Fail(
"master key source: env var but SECRETS_MASTER_KEY not set".into(),
)
}
}
crate::settings::KeySource::None => {
CheckResult::Skip("secrets not configured (run `ironclaw onboard`)".into())
}
}
}
// ── Service ─────────────────────────────────────────────────
fn check_service_installed() -> CheckResult {
if cfg!(target_os = "macos") {
let plist =
dirs::home_dir().map(|h| h.join("Library/LaunchAgents/com.ironclaw.daemon.plist"));
match plist {
Some(path) if path.exists() => {
CheckResult::Pass(format!("launchd plist installed ({})", path.display()))
}
Some(_) => CheckResult::Skip("not installed (run `ironclaw service install`)".into()),
None => CheckResult::Skip("cannot determine home directory".into()),
}
} else if cfg!(target_os = "linux") {
let unit = dirs::home_dir().map(|h| h.join(".config/systemd/user/ironclaw.service"));
match unit {
Some(path) if path.exists() => {
CheckResult::Pass(format!("systemd unit installed ({})", path.display()))
}
Some(_) => CheckResult::Skip("not installed (run `ironclaw service install`)".into()),
None => CheckResult::Skip("cannot determine home directory".into()),
}
} else {
CheckResult::Skip("service management not supported on this platform".into())
}
}
// ── Docker daemon ───────────────────────────────────────────
async fn check_docker_daemon() -> CheckResult {
let detection = crate::sandbox::check_docker().await;
match detection.status {
crate::sandbox::DockerStatus::Available => CheckResult::Pass("running".into()),
crate::sandbox::DockerStatus::NotInstalled => CheckResult::Skip(format!(
"not installed. {}",
detection.platform.install_hint()
)),
crate::sandbox::DockerStatus::NotRunning => CheckResult::Fail(format!(
"installed but not running. {}",
detection.platform.start_hint()
)),
crate::sandbox::DockerStatus::Disabled => CheckResult::Skip("sandbox disabled".into()),
}
}
// ── External binary ─────────────────────────────────────────
fn check_binary(name: &str, args: &[&str]) -> CheckResult {
match std::process::Command::new(name)
.args(args)
@@ -273,6 +622,193 @@ mod tests {
}
}
#[test]
fn check_settings_file_handles_missing() {
// Settings::default_path() might or might not exist, but must not panic
let result = check_settings_file();
match result {
CheckResult::Pass(_) | CheckResult::Fail(_) | CheckResult::Skip(_) => {}
}
}
#[test]
fn check_llm_config_does_not_panic() {
let settings = Settings::default();
let result = check_llm_config(&settings);
match result {
CheckResult::Pass(_) | CheckResult::Fail(_) | CheckResult::Skip(_) => {}
}
}
#[test]
fn check_routines_config_does_not_panic() {
let result = check_routines_config();
match result {
CheckResult::Pass(_) | CheckResult::Fail(_) | CheckResult::Skip(_) => {}
}
}
#[test]
fn check_gateway_config_does_not_panic() {
let settings = Settings::default();
let result = check_gateway_config(&settings);
match result {
CheckResult::Pass(_) | CheckResult::Fail(_) | CheckResult::Skip(_) => {}
}
}
#[test]
fn check_embeddings_does_not_panic() {
let settings = Settings::default();
let result = check_embeddings(&settings);
match result {
CheckResult::Pass(_) | CheckResult::Fail(_) | CheckResult::Skip(_) => {}
}
}
#[test]
fn check_secrets_none_returns_skip() {
let settings = Settings::default();
match check_secrets(&settings) {
CheckResult::Skip(msg) => {
assert!(
msg.contains("not configured"),
"expected 'not configured' in skip message, got: {msg}"
);
}
other => panic!(
"expected Skip for default settings, got: {}",
format_result(&other)
),
}
}
#[test]
fn check_service_installed_does_not_panic() {
let result = check_service_installed();
match result {
CheckResult::Pass(_) | CheckResult::Fail(_) | CheckResult::Skip(_) => {}
}
}
#[tokio::test]
async fn check_docker_daemon_does_not_panic() {
let result = check_docker_daemon().await;
match result {
CheckResult::Pass(_) | CheckResult::Fail(_) | CheckResult::Skip(_) => {}
}
}
#[tokio::test]
async fn check_mcp_config_does_not_panic() {
let result = check_mcp_config().await;
match result {
CheckResult::Pass(_) | CheckResult::Fail(_) | CheckResult::Skip(_) => {}
}
}
#[tokio::test]
async fn check_skills_does_not_panic() {
let result = check_skills().await;
match result {
CheckResult::Pass(_) | CheckResult::Fail(_) | CheckResult::Skip(_) => {}
}
}
#[test]
fn check_llm_config_shows_nearai_model_for_nearai_backend() {
let _guard = crate::config::helpers::ENV_MUTEX.lock().expect("env mutex");
// SAFETY: Under ENV_MUTEX, no concurrent env access.
unsafe {
std::env::remove_var("LLM_BACKEND");
}
let settings = Settings::default();
match check_llm_config(&settings) {
CheckResult::Pass(msg) => {
assert!(
msg.contains("backend=nearai"),
"expected nearai backend, got: {msg}"
);
// Must NOT show a bedrock or registry model when backend is nearai
assert!(
!msg.contains("anthropic.claude"),
"should not show bedrock model for nearai backend: {msg}"
);
}
other => panic!(
"expected Pass for default LLM config, got: {}",
format_result(&other)
),
}
}
#[test]
fn check_embeddings_disabled_by_default_returns_skip() {
let _guard = crate::config::helpers::ENV_MUTEX.lock().expect("env mutex");
// SAFETY: Under ENV_MUTEX.
unsafe {
std::env::remove_var("EMBEDDING_ENABLED");
}
let settings = Settings::default();
match check_embeddings(&settings) {
CheckResult::Skip(msg) => {
assert!(
msg.contains("disabled"),
"expected 'disabled' in skip message, got: {msg}"
);
}
other => panic!(
"expected Skip for disabled embeddings, got: {}",
format_result(&other)
),
}
}
#[test]
fn check_routines_enabled_by_default() {
let _guard = crate::config::helpers::ENV_MUTEX.lock().expect("env mutex");
// SAFETY: Under ENV_MUTEX.
unsafe {
std::env::remove_var("ROUTINES_ENABLED");
}
match check_routines_config() {
CheckResult::Pass(msg) => {
assert!(
msg.contains("enabled"),
"routines should be enabled by default, got: {msg}"
);
}
other => panic!(
"expected Pass for default routines, got: {}",
format_result(&other)
),
}
}
#[test]
fn check_secrets_env_without_var_returns_fail() {
let settings = Settings {
secrets_master_key_source: crate::settings::KeySource::Env,
..Default::default()
};
match check_secrets(&settings) {
CheckResult::Fail(msg) => {
assert!(
msg.contains("SECRETS_MASTER_KEY not set"),
"expected mention of missing env var, got: {msg}"
);
}
CheckResult::Pass(_) => {
// If SECRETS_MASTER_KEY happens to be set in the environment,
// Pass is correct — don't fail the test.
}
other => panic!(
"expected Fail or Pass for env key source, got: {}",
format_result(&other)
),
}
}
fn format_result(r: &CheckResult) -> String {
match r {
CheckResult::Pass(s) => format!("Pass({s})"),
+391
View File
@@ -0,0 +1,391 @@
//! Shared tool execution pipeline.
//!
//! Provides a single implementation of the validate → timeout → execute → serialize
//! pipeline used by all agentic loop consumers (chat, job, container) and the
//! scheduler's subtask execution.
use crate::context::JobContext;
use crate::error::Error;
use crate::llm::ChatMessage;
use crate::safety::SafetyLayer;
use crate::tools::{ToolRegistry, redact_params};
/// Execute a tool with safety checks: lookup → validate → timeout → execute → serialize.
///
/// This is the single canonical implementation of tool execution. All consumers
/// (chat dispatcher, job worker, container runtime, scheduler subtasks) use this
/// function instead of maintaining their own copies.
pub async fn execute_tool_with_safety(
tools: &ToolRegistry,
safety: &SafetyLayer,
tool_name: &str,
params: &serde_json::Value,
job_ctx: &JobContext,
) -> Result<String, Error> {
let tool = tools
.get(tool_name)
.await
.ok_or_else(|| crate::error::ToolError::NotFound {
name: tool_name.to_string(),
})?;
// Validate tool parameters
let validation = safety.validator().validate_tool_params(params);
if !validation.is_valid {
let details = validation
.errors
.iter()
.map(|e| format!("{}: {}", e.field, e.message))
.collect::<Vec<_>>()
.join("; ");
return Err(crate::error::ToolError::InvalidParameters {
name: tool_name.to_string(),
reason: format!("Invalid tool parameters: {}", details),
}
.into());
}
let safe_params = redact_params(params, tool.sensitive_params());
tracing::debug!(
tool = %tool_name,
params = %safe_params,
"Tool call started"
);
// Execute with per-tool timeout
let timeout = tool.execution_timeout();
let start = std::time::Instant::now();
let result = tokio::time::timeout(timeout, async {
tool.execute(params.clone(), job_ctx).await
})
.await;
let elapsed = start.elapsed();
match &result {
Ok(Ok(output)) => {
let result_size = serde_json::to_string(&output.result)
.map(|s| s.len())
.unwrap_or(0);
tracing::debug!(
tool = %tool_name,
elapsed_ms = elapsed.as_millis() as u64,
result_size_bytes = result_size,
"Tool call succeeded"
);
}
Ok(Err(e)) => {
tracing::debug!(
tool = %tool_name,
elapsed_ms = elapsed.as_millis() as u64,
error = %e,
"Tool call failed"
);
}
Err(_) => {
tracing::debug!(
tool = %tool_name,
elapsed_ms = elapsed.as_millis() as u64,
timeout_secs = timeout.as_secs(),
"Tool call timed out"
);
}
}
let result = result
.map_err(|_| crate::error::ToolError::Timeout {
name: tool_name.to_string(),
timeout,
})?
.map_err(|e| crate::error::ToolError::ExecutionFailed {
name: tool_name.to_string(),
reason: e.to_string(),
})?;
serde_json::to_string_pretty(&result.result).map_err(|e| {
crate::error::ToolError::ExecutionFailed {
name: tool_name.to_string(),
reason: format!("Failed to serialize result: {}", e),
}
.into()
})
}
/// Process a tool result into a `ChatMessage::tool_result` with safety sanitization.
///
/// On success: sanitize → wrap → ChatMessage::tool_result.
/// On error: format error → ChatMessage::tool_result.
///
/// Returns the content string and the ChatMessage.
pub fn process_tool_result(
safety: &SafetyLayer,
tool_name: &str,
tool_call_id: &str,
result: &Result<String, impl std::fmt::Display>,
) -> (String, ChatMessage) {
let content = match result {
Ok(output) => {
let sanitized = safety.sanitize_tool_output(tool_name, output);
safety.wrap_for_llm(tool_name, &sanitized.content, sanitized.was_modified)
}
Err(e) => format!("Error: {}", e),
};
let message = ChatMessage::tool_result(tool_call_id, tool_name, content.clone());
(content, message)
}
/// Execute a tool with safety checks, returning a string error (for container runtime).
///
/// This is a thin wrapper around `execute_tool_with_safety` that converts
/// `Error` to `String` for the container runtime's simpler error model.
pub async fn execute_tool_simple(
tools: &ToolRegistry,
safety: &SafetyLayer,
tool_name: &str,
params: &serde_json::Value,
job_ctx: &JobContext,
) -> Result<String, String> {
execute_tool_with_safety(tools, safety, tool_name, params, job_ctx)
.await
.map_err(|e| e.to_string())
}
#[cfg(test)]
mod tests {
use super::*;
use crate::tools::tool::{Tool, ToolError, ToolOutput};
use std::sync::Arc;
use std::time::Duration;
struct EchoTool;
#[async_trait::async_trait]
impl Tool for EchoTool {
fn name(&self) -> &str {
"echo"
}
fn description(&self) -> &str {
"Echoes input"
}
fn parameters_schema(&self) -> serde_json::Value {
serde_json::json!({"type": "object", "properties": {}})
}
async fn execute(
&self,
params: serde_json::Value,
_ctx: &JobContext,
) -> Result<ToolOutput, ToolError> {
Ok(ToolOutput::success(params, Duration::default()))
}
fn requires_sanitization(&self) -> bool {
false
}
}
struct FailTool;
#[async_trait::async_trait]
impl Tool for FailTool {
fn name(&self) -> &str {
"fail_tool"
}
fn description(&self) -> &str {
"Always fails"
}
fn parameters_schema(&self) -> serde_json::Value {
serde_json::json!({"type": "object", "properties": {}})
}
async fn execute(
&self,
_: serde_json::Value,
_: &JobContext,
) -> Result<ToolOutput, ToolError> {
Err(ToolError::ExecutionFailed(
"intentional failure".to_string(),
))
}
fn requires_sanitization(&self) -> bool {
false
}
}
struct SlowTool;
#[async_trait::async_trait]
impl Tool for SlowTool {
fn name(&self) -> &str {
"slow_tool"
}
fn description(&self) -> &str {
"Sleeps forever"
}
fn parameters_schema(&self) -> serde_json::Value {
serde_json::json!({"type": "object", "properties": {}})
}
async fn execute(
&self,
_: serde_json::Value,
_: &JobContext,
) -> Result<ToolOutput, ToolError> {
tokio::time::sleep(Duration::from_secs(60)).await;
unreachable!()
}
fn execution_timeout(&self) -> Duration {
Duration::from_millis(50)
}
fn requires_sanitization(&self) -> bool {
false
}
}
fn test_safety() -> SafetyLayer {
SafetyLayer::new(&crate::config::SafetyConfig {
max_output_length: 100_000,
injection_check_enabled: false,
})
}
fn test_job_ctx() -> JobContext {
JobContext::default()
}
async fn registry_with(tools: Vec<Arc<dyn Tool>>) -> ToolRegistry {
let registry = ToolRegistry::new();
for tool in tools {
registry.register(tool).await;
}
registry
}
#[tokio::test]
async fn test_execute_success() {
let registry = registry_with(vec![Arc::new(EchoTool)]).await;
let safety = test_safety();
let params = serde_json::json!({"message": "hello"});
let result =
execute_tool_with_safety(&registry, &safety, "echo", &params, &test_job_ctx()).await;
assert!(result.is_ok(), "Echo tool should succeed");
let output = result.unwrap();
assert!(
output.contains("hello"),
"Output should contain the echoed input"
);
}
#[tokio::test]
async fn test_execute_missing_tool() {
let registry = registry_with(vec![]).await;
let safety = test_safety();
let result = execute_tool_with_safety(
&registry,
&safety,
"nonexistent",
&serde_json::json!({}),
&test_job_ctx(),
)
.await;
assert!(result.is_err(), "Missing tool should return error");
let err = result.unwrap_err().to_string();
assert!(
err.contains("nonexistent") || err.contains("not found"),
"Error should mention the tool: {}",
err
);
}
#[tokio::test]
async fn test_execute_tool_failure() {
let registry = registry_with(vec![Arc::new(FailTool)]).await;
let safety = test_safety();
let result = execute_tool_with_safety(
&registry,
&safety,
"fail_tool",
&serde_json::json!({}),
&test_job_ctx(),
)
.await;
assert!(result.is_err(), "FailTool should return error");
let err = result.unwrap_err().to_string();
assert!(
err.contains("intentional failure"),
"Error should contain the failure reason: {}",
err
);
}
#[tokio::test]
async fn test_execute_tool_timeout() {
let registry = registry_with(vec![Arc::new(SlowTool)]).await;
let safety = test_safety();
let start = std::time::Instant::now();
let result = execute_tool_with_safety(
&registry,
&safety,
"slow_tool",
&serde_json::json!({}),
&test_job_ctx(),
)
.await;
let elapsed = start.elapsed();
assert!(result.is_err(), "SlowTool should timeout");
let err = result.unwrap_err().to_string();
assert!(
err.to_lowercase().contains("timeout") || err.to_lowercase().contains("timed out"),
"Error should mention timeout: {}",
err
);
assert!(
elapsed < Duration::from_secs(1),
"Should timeout quickly, not wait 60s"
);
}
#[test]
fn test_process_tool_result_success() {
let safety = test_safety();
let result: Result<String, String> = Ok("tool output data".to_string());
let (content, message) = process_tool_result(&safety, "echo", "call_1", &result);
assert!(
content.contains("tool_output"),
"Content should be XML-wrapped: {}",
content
);
assert!(
content.contains("tool output data"),
"Content should contain the output: {}",
content
);
assert_eq!(message.role, crate::llm::Role::Tool);
assert_eq!(message.name.as_deref(), Some("echo"));
}
#[test]
fn test_process_tool_result_error() {
let safety = test_safety();
let result: Result<String, String> = Err("something went wrong".to_string());
let (content, message) = process_tool_result(&safety, "echo", "call_1", &result);
assert!(
content.contains("Error:"),
"Error content should start with 'Error:': {}",
content
);
assert!(
content.contains("something went wrong"),
"Error content should contain the message: {}",
content
);
assert_eq!(message.role, crate::llm::Role::Tool);
}
}
+1
View File
@@ -9,6 +9,7 @@
pub mod builder;
pub mod builtin;
pub mod execute;
pub mod mcp;
pub mod rate_limiter;
pub mod schema_validator;
+1 -1
View File
@@ -24,7 +24,7 @@ pub fn floor_char_boundary(s: &str, pos: usize) -> usize {
pub fn llm_signals_completion(response: &str) -> bool {
let lower = response.to_lowercase();
// Superset of phrases from agent/worker.rs and worker/runtime.rs.
// Superset of phrases from worker/job.rs and worker/container.rs.
let positive_phrases = [
"job is complete",
"job is done",
+539
View File
@@ -0,0 +1,539 @@
//! Worker runtime: the main execution loop inside a container.
//!
//! Reuses the existing `Reasoning` and `SafetyLayer` infrastructure but
//! connects to the orchestrator for LLM calls instead of calling APIs directly.
//! Streams real-time events (message, tool_use, tool_result, result) through
//! the orchestrator's job event pipeline for UI visibility.
//!
//! Uses the shared `AgenticLoop` engine via `ContainerDelegate`.
use std::collections::HashMap;
use std::sync::Arc;
use std::time::Duration;
use async_trait::async_trait;
use tokio::sync::Mutex;
use uuid::Uuid;
use crate::agent::agentic_loop::{
AgenticLoopConfig, LoopDelegate, LoopOutcome, LoopSignal, TextAction, truncate_for_preview,
};
use crate::config::SafetyConfig;
use crate::context::JobContext;
use crate::error::WorkerError;
use crate::llm::{ChatMessage, LlmProvider, Reasoning, ReasoningContext};
use crate::safety::SafetyLayer;
use crate::tools::ToolRegistry;
use crate::tools::execute::{execute_tool_simple, process_tool_result};
use crate::worker::api::{CompletionReport, JobEventPayload, StatusUpdate, WorkerHttpClient};
use crate::worker::proxy_llm::ProxyLlmProvider;
/// Configuration for the worker runtime.
pub struct WorkerConfig {
pub job_id: Uuid,
pub orchestrator_url: String,
pub max_iterations: u32,
pub timeout: Duration,
}
impl Default for WorkerConfig {
fn default() -> Self {
Self {
job_id: Uuid::nil(),
orchestrator_url: String::new(),
max_iterations: 50,
timeout: Duration::from_secs(600),
}
}
}
/// The worker runtime runs inside a Docker container.
///
/// It connects to the orchestrator over HTTP, fetches its job description,
/// then runs a tool execution loop until the job is complete. Events are
/// streamed to the orchestrator so the UI can show real-time progress.
pub struct WorkerRuntime {
config: WorkerConfig,
client: Arc<WorkerHttpClient>,
llm: Arc<dyn LlmProvider>,
safety: Arc<SafetyLayer>,
tools: Arc<ToolRegistry>,
/// Credentials fetched from the orchestrator, injected into child processes
/// via `Command::envs()` rather than mutating the global process environment.
///
/// Wrapped in `Arc` to avoid deep-cloning the map on every tool invocation.
extra_env: Arc<HashMap<String, String>>,
}
impl WorkerRuntime {
/// Create a new worker runtime.
///
/// Reads `IRONCLAW_WORKER_TOKEN` from the environment for auth.
pub fn new(config: WorkerConfig) -> Result<Self, WorkerError> {
let client = Arc::new(WorkerHttpClient::from_env(
config.orchestrator_url.clone(),
config.job_id,
)?);
let llm: Arc<dyn LlmProvider> = Arc::new(ProxyLlmProvider::new(
Arc::clone(&client),
"proxied".to_string(),
));
let safety = Arc::new(SafetyLayer::new(&SafetyConfig {
max_output_length: 100_000,
injection_check_enabled: true,
}));
let tools = Arc::new(ToolRegistry::new());
// Register only container-safe tools
tools.register_container_tools();
Ok(Self {
config,
client,
llm,
safety,
tools,
extra_env: Arc::new(HashMap::new()),
})
}
/// Run the worker until the job is complete or an error occurs.
pub async fn run(mut self) -> Result<(), WorkerError> {
tracing::info!("Worker starting for job {}", self.config.job_id);
// Fetch job description from orchestrator
let job = self.client.get_job().await?;
tracing::info!(
"Received job: {} - {}",
job.title,
truncate_for_preview(&job.description, 100)
);
// Fetch credentials and store them for injection into child processes
// via Command::envs() (avoids unsafe std::env::set_var in multi-threaded runtime).
let credentials = self.client.fetch_credentials().await?;
{
let mut env_map = HashMap::new();
for cred in &credentials {
env_map.insert(cred.env_var.clone(), cred.value.clone());
}
self.extra_env = Arc::new(env_map);
}
if !credentials.is_empty() {
tracing::info!(
"Fetched {} credential(s) for child process injection",
credentials.len()
);
}
// Report that we're starting
self.client
.report_status(&StatusUpdate {
state: "in_progress".to_string(),
message: Some("Worker started, beginning execution".to_string()),
iteration: 0,
})
.await?;
// Create reasoning engine
let reasoning = Reasoning::new(self.llm.clone());
// Build initial context
let mut reason_ctx = ReasoningContext::new().with_job(&job.description);
reason_ctx.messages.push(ChatMessage::system(format!(
r#"You are an autonomous agent running inside a Docker container.
Job: {}
Description: {}
You have tools for shell commands, file operations, and code editing.
Work independently to complete this job. Report when done."#,
job.title, job.description
)));
// Load tool definitions
reason_ctx.available_tools = self.tools.tool_definitions().await;
// Shared iteration tracker — read after the loop to report accurate counts.
let iteration_tracker = Arc::new(Mutex::new(0u32));
// Run with timeout using the shared agentic loop
let result = tokio::time::timeout(self.config.timeout, async {
let delegate = ContainerDelegate {
client: self.client.clone(),
safety: self.safety.clone(),
tools: self.tools.clone(),
extra_env: self.extra_env.clone(),
last_output: Mutex::new(String::new()),
iteration_tracker: iteration_tracker.clone(),
};
let config = AgenticLoopConfig {
max_iterations: self.config.max_iterations as usize,
enable_tool_intent_nudge: true,
max_tool_intent_nudges: 2,
};
crate::agent::agentic_loop::run_agentic_loop(
&delegate,
&reasoning,
&mut reason_ctx,
&config,
)
.await
})
.await;
let iterations = *iteration_tracker.lock().await;
match result {
Ok(Ok(LoopOutcome::Response(output))) => {
tracing::info!("Worker completed job {} successfully", self.config.job_id);
self.post_event(
"result",
serde_json::json!({
"success": true,
"message": truncate_for_preview(&output, 2000),
}),
)
.await;
self.client
.report_complete(&CompletionReport {
success: true,
message: Some(output),
iterations,
})
.await?;
}
Ok(Ok(LoopOutcome::MaxIterations)) => {
let msg = format!("max iterations ({}) exceeded", self.config.max_iterations);
tracing::warn!("Worker failed for job {}: {}", self.config.job_id, msg);
self.post_event(
"result",
serde_json::json!({
"success": false,
"message": format!("Execution failed: {}", msg),
}),
)
.await;
self.client
.report_complete(&CompletionReport {
success: false,
message: Some(format!("Execution failed: {}", msg)),
iterations,
})
.await?;
}
Ok(Ok(LoopOutcome::Stopped | LoopOutcome::NeedApproval(_))) => {
tracing::info!("Worker for job {} stopped", self.config.job_id);
self.client
.report_complete(&CompletionReport {
success: false,
message: Some("Execution stopped".to_string()),
iterations,
})
.await?;
}
Ok(Err(e)) => {
tracing::error!("Worker failed for job {}: {}", self.config.job_id, e);
self.post_event(
"result",
serde_json::json!({
"success": false,
"message": format!("Execution failed: {}", e),
}),
)
.await;
self.client
.report_complete(&CompletionReport {
success: false,
message: Some(format!("Execution failed: {}", e)),
iterations,
})
.await?;
}
Err(_) => {
tracing::warn!("Worker timed out for job {}", self.config.job_id);
self.post_event(
"result",
serde_json::json!({
"success": false,
"message": "Execution timed out",
}),
)
.await;
self.client
.report_complete(&CompletionReport {
success: false,
message: Some("Execution timed out".to_string()),
iterations,
})
.await?;
}
}
Ok(())
}
/// Post a job event to the orchestrator (fire-and-forget).
async fn post_event(&self, event_type: &str, data: serde_json::Value) {
self.client
.post_event(&JobEventPayload {
event_type: event_type.to_string(),
data,
})
.await;
}
}
/// Container delegate: implements `LoopDelegate` for the Docker container context.
///
/// Tools execute sequentially. Events are posted to the orchestrator via HTTP.
/// Completion is detected via `llm_signals_completion()`.
struct ContainerDelegate {
client: Arc<WorkerHttpClient>,
safety: Arc<SafetyLayer>,
tools: Arc<ToolRegistry>,
extra_env: Arc<HashMap<String, String>>,
/// Tracks the last successful tool output for the final response.
last_output: Mutex<String>,
/// Tracks the current iteration — shared with the outer `run` method so
/// `CompletionReport` can include accurate iteration counts.
iteration_tracker: Arc<Mutex<u32>>,
}
impl ContainerDelegate {
async fn post_event(&self, event_type: &str, data: serde_json::Value) {
self.client
.post_event(&JobEventPayload {
event_type: event_type.to_string(),
data,
})
.await;
}
/// Poll the orchestrator for a follow-up prompt. If one is available,
/// inject it as a user message into the reasoning context.
async fn poll_and_inject_prompt(&self, reason_ctx: &mut ReasoningContext) {
match self.client.poll_prompt().await {
Ok(Some(prompt)) => {
tracing::info!(
"Received follow-up prompt: {}",
truncate_for_preview(&prompt.content, 100)
);
self.post_event(
"message",
serde_json::json!({
"role": "user",
"content": truncate_for_preview(&prompt.content, 2000),
}),
)
.await;
reason_ctx.messages.push(ChatMessage::user(&prompt.content));
}
Ok(None) => {}
Err(e) => {
tracing::debug!("Failed to poll for prompt: {}", e);
}
}
}
}
#[async_trait]
impl LoopDelegate for ContainerDelegate {
async fn check_signals(&self) -> LoopSignal {
// Container runtime has no stop signals — the orchestrator manages lifecycle.
LoopSignal::Continue
}
async fn before_llm_call(
&self,
reason_ctx: &mut ReasoningContext,
iteration: usize,
) -> Option<LoopOutcome> {
let iteration = iteration as u32;
*self.iteration_tracker.lock().await = iteration;
// Report progress every 5 iterations
if iteration % 5 == 1 {
let _ = self
.client
.report_status(&StatusUpdate {
state: "in_progress".to_string(),
message: Some(format!("Iteration {}", iteration)),
iteration,
})
.await;
}
// Poll for follow-up prompts from the user
self.poll_and_inject_prompt(reason_ctx).await;
// Refresh tools (in case WASM tools were built)
reason_ctx.available_tools = self.tools.tool_definitions().await;
None
}
async fn call_llm(
&self,
reasoning: &Reasoning,
reason_ctx: &mut ReasoningContext,
_iteration: usize,
) -> Result<crate::llm::RespondOutput, crate::error::Error> {
// Container uses respond_with_tools (which may return either text or tool calls)
reasoning
.respond_with_tools(reason_ctx)
.await
.map_err(Into::into)
}
async fn handle_text_response(
&self,
text: &str,
reason_ctx: &mut ReasoningContext,
) -> TextAction {
self.post_event(
"message",
serde_json::json!({
"role": "assistant",
"content": truncate_for_preview(text, 2000),
}),
)
.await;
// Check for completion
if crate::util::llm_signals_completion(text) {
let last = self.last_output.lock().await;
let output = if last.is_empty() {
text.to_string()
} else {
last.clone()
};
return TextAction::Return(LoopOutcome::Response(output));
}
reason_ctx.messages.push(ChatMessage::assistant(text));
TextAction::Continue
}
async fn execute_tool_calls(
&self,
tool_calls: Vec<crate::llm::ToolCall>,
content: Option<String>,
reason_ctx: &mut ReasoningContext,
) -> Result<Option<LoopOutcome>, crate::error::Error> {
if let Some(ref text) = content {
self.post_event(
"message",
serde_json::json!({
"role": "assistant",
"content": truncate_for_preview(text, 2000),
}),
)
.await;
}
// Add assistant message with tool_calls (OpenAI protocol)
reason_ctx
.messages
.push(ChatMessage::assistant_with_tool_calls(
content,
tool_calls.clone(),
));
// Execute tools sequentially (container context — no parallel execution)
for tc in tool_calls {
self.post_event(
"tool_use",
serde_json::json!({
"tool_name": tc.name,
"input": truncate_for_preview(&tc.arguments.to_string(), 500),
}),
)
.await;
let job_ctx = JobContext {
extra_env: self.extra_env.clone(),
..Default::default()
};
let result =
execute_tool_simple(&self.tools, &self.safety, &tc.name, &tc.arguments, &job_ctx)
.await;
self.post_event(
"tool_result",
serde_json::json!({
"tool_name": tc.name,
"output": match &result {
Ok(output) => truncate_for_preview(output, 2000),
Err(e) => format!("Error: {}", truncate_for_preview(e, 500)),
},
"success": result.is_ok(),
}),
)
.await;
if let Ok(ref output) = result {
*self.last_output.lock().await = output.clone();
}
// Use shared result processing
let (_, message) = process_tool_result(&self.safety, &tc.name, &tc.id, &result);
reason_ctx.messages.push(message);
}
Ok(None)
}
async fn on_tool_intent_nudge(&self, text: &str, _reason_ctx: &mut ReasoningContext) {
self.post_event(
"message",
serde_json::json!({
"role": "assistant",
"content": truncate_for_preview(text, 2000),
"nudge": true,
}),
)
.await;
}
async fn after_iteration(&self, _iteration: usize) {
// Brief pause between iterations
tokio::time::sleep(Duration::from_millis(100)).await;
}
}
#[cfg(test)]
mod tests {
use crate::agent::agentic_loop::truncate_for_preview;
#[test]
fn test_truncate_within_limit() {
assert_eq!(truncate_for_preview("hello", 10), "hello");
}
#[test]
fn test_truncate_at_limit() {
assert_eq!(truncate_for_preview("hello", 5), "hello");
}
#[test]
fn test_truncate_beyond_limit() {
let result = truncate_for_preview("hello world", 5);
assert_eq!(result, "hello...");
}
#[test]
fn test_truncate_multibyte_safe() {
// "é" is 2 bytes in UTF-8; slicing at byte 1 would panic without safety
let result = truncate_for_preview("é is fancy", 1);
// Should truncate to 0 chars (can't fit "é" in 1 byte)
assert_eq!(result, "...");
}
}
File diff suppressed because it is too large Load Diff
+5 -3
View File
@@ -26,13 +26,15 @@
pub mod api;
pub mod claude_bridge;
pub mod container;
pub mod job;
pub mod proxy_llm;
pub mod runtime;
pub use api::WorkerHttpClient;
pub use claude_bridge::ClaudeBridgeRuntime;
pub use container::WorkerRuntime;
pub use job::{Worker, WorkerDeps};
pub use proxy_llm::ProxyLlmProvider;
pub use runtime::WorkerRuntime;
/// Run the Worker subcommand (inside Docker containers).
pub async fn run_worker(
@@ -46,7 +48,7 @@ pub async fn run_worker(
orchestrator_url
);
let config = runtime::WorkerConfig {
let config = container::WorkerConfig {
job_id,
orchestrator_url: orchestrator_url.to_string(),
max_iterations,
-570
View File
@@ -1,570 +0,0 @@
//! Worker runtime: the main execution loop inside a container.
//!
//! Reuses the existing `Reasoning` and `SafetyLayer` infrastructure but
//! connects to the orchestrator for LLM calls instead of calling APIs directly.
//! Streams real-time events (message, tool_use, tool_result, result) through
//! the orchestrator's job event pipeline for UI visibility.
use std::collections::HashMap;
use std::sync::Arc;
use std::time::Duration;
use uuid::Uuid;
use crate::config::SafetyConfig;
use crate::context::JobContext;
use crate::error::WorkerError;
use crate::llm::{
ChatMessage, LlmProvider, Reasoning, ReasoningContext, RespondResult, ToolSelection,
};
use crate::safety::SafetyLayer;
use crate::tools::ToolRegistry;
use crate::worker::api::{CompletionReport, JobEventPayload, StatusUpdate, WorkerHttpClient};
use crate::worker::proxy_llm::ProxyLlmProvider;
/// Configuration for the worker runtime.
pub struct WorkerConfig {
pub job_id: Uuid,
pub orchestrator_url: String,
pub max_iterations: u32,
pub timeout: Duration,
}
impl Default for WorkerConfig {
fn default() -> Self {
Self {
job_id: Uuid::nil(),
orchestrator_url: String::new(),
max_iterations: 50,
timeout: Duration::from_secs(600),
}
}
}
/// The worker runtime runs inside a Docker container.
///
/// It connects to the orchestrator over HTTP, fetches its job description,
/// then runs a tool execution loop until the job is complete. Events are
/// streamed to the orchestrator so the UI can show real-time progress.
pub struct WorkerRuntime {
config: WorkerConfig,
client: Arc<WorkerHttpClient>,
llm: Arc<dyn LlmProvider>,
safety: Arc<SafetyLayer>,
tools: Arc<ToolRegistry>,
/// Credentials fetched from the orchestrator, injected into child processes
/// via `Command::envs()` rather than mutating the global process environment.
///
/// Wrapped in `Arc` to avoid deep-cloning the map on every tool invocation.
extra_env: Arc<HashMap<String, String>>,
}
impl WorkerRuntime {
/// Create a new worker runtime.
///
/// Reads `IRONCLAW_WORKER_TOKEN` from the environment for auth.
pub fn new(config: WorkerConfig) -> Result<Self, WorkerError> {
let client = Arc::new(WorkerHttpClient::from_env(
config.orchestrator_url.clone(),
config.job_id,
)?);
let llm: Arc<dyn LlmProvider> = Arc::new(ProxyLlmProvider::new(
Arc::clone(&client),
"proxied".to_string(),
));
let safety = Arc::new(SafetyLayer::new(&SafetyConfig {
max_output_length: 100_000,
injection_check_enabled: true,
}));
let tools = Arc::new(ToolRegistry::new());
// Register only container-safe tools
tools.register_container_tools();
Ok(Self {
config,
client,
llm,
safety,
tools,
extra_env: Arc::new(HashMap::new()),
})
}
/// Run the worker until the job is complete or an error occurs.
pub async fn run(mut self) -> Result<(), WorkerError> {
tracing::info!("Worker starting for job {}", self.config.job_id);
// Fetch job description from orchestrator
let job = self.client.get_job().await?;
tracing::info!(
"Received job: {} - {}",
job.title,
truncate(&job.description, 100)
);
// Fetch credentials and store them for injection into child processes
// via Command::envs() (avoids unsafe std::env::set_var in multi-threaded runtime).
let credentials = self.client.fetch_credentials().await?;
{
let mut env_map = HashMap::new();
for cred in &credentials {
env_map.insert(cred.env_var.clone(), cred.value.clone());
}
self.extra_env = Arc::new(env_map);
}
if !credentials.is_empty() {
tracing::info!(
"Fetched {} credential(s) for child process injection",
credentials.len()
);
}
// Report that we're starting
self.client
.report_status(&StatusUpdate {
state: "in_progress".to_string(),
message: Some("Worker started, beginning execution".to_string()),
iteration: 0,
})
.await?;
// Create reasoning engine
let reasoning = Reasoning::new(self.llm.clone())
.with_model_name(self.llm.active_model_name());
// Build initial context
let mut reason_ctx = ReasoningContext::new().with_job(&job.description);
reason_ctx.messages.push(ChatMessage::system(format!(
r#"You are an autonomous agent running inside a Docker container.
Job: {}
Description: {}
You have tools for shell commands, file operations, and code editing.
Work independently to complete this job. Report when done."#,
job.title, job.description
)));
// Run with timeout
let result = tokio::time::timeout(self.config.timeout, async {
self.execution_loop(&reasoning, &mut reason_ctx).await
})
.await;
match result {
Ok(Ok(output)) => {
tracing::info!("Worker completed job {} successfully", self.config.job_id);
self.post_event(
"result",
serde_json::json!({
"success": true,
"message": truncate(&output, 2000),
}),
)
.await;
self.client
.report_complete(&CompletionReport {
success: true,
message: Some(output),
iterations: 0,
})
.await?;
}
Ok(Err(e)) => {
tracing::error!("Worker failed for job {}: {}", self.config.job_id, e);
self.post_event(
"result",
serde_json::json!({
"success": false,
"message": format!("Execution failed: {}", e),
}),
)
.await;
self.client
.report_complete(&CompletionReport {
success: false,
message: Some(format!("Execution failed: {}", e)),
iterations: 0,
})
.await?;
}
Err(_) => {
tracing::warn!("Worker timed out for job {}", self.config.job_id);
self.post_event(
"result",
serde_json::json!({
"success": false,
"message": "Execution timed out",
}),
)
.await;
self.client
.report_complete(&CompletionReport {
success: false,
message: Some("Execution timed out".to_string()),
iterations: 0,
})
.await?;
}
}
Ok(())
}
async fn execution_loop(
&self,
reasoning: &Reasoning,
reason_ctx: &mut ReasoningContext,
) -> Result<String, WorkerError> {
let max_iterations = self.config.max_iterations;
let mut last_output = String::new();
const MAX_TOOL_INTENT_NUDGES: u32 = 2;
let mut consecutive_tool_intent_nudges: u32 = 0;
// Load tool definitions
reason_ctx.available_tools = self.tools.tool_definitions().await;
for iteration in 1..=max_iterations {
// Report progress
if iteration % 5 == 1 {
let _ = self
.client
.report_status(&StatusUpdate {
state: "in_progress".to_string(),
message: Some(format!("Iteration {}", iteration)),
iteration,
})
.await;
}
// Poll for follow-up prompts from the user
self.poll_and_inject_prompt(reason_ctx).await;
// Refresh tools (in case WASM tools were built)
reason_ctx.available_tools = self.tools.tool_definitions().await;
// Ask the LLM what to do next
let selections = reasoning.select_tools(reason_ctx).await.map_err(|e| {
WorkerError::ExecutionFailed {
reason: format!("tool selection failed: {}", e),
}
})?;
if selections.is_empty() {
// No tools selected, try direct response
let respond_result =
reasoning
.respond_with_tools(reason_ctx)
.await
.map_err(|e| WorkerError::ExecutionFailed {
reason: format!("respond_with_tools failed: {}", e),
})?;
match respond_result.result {
RespondResult::Text(response) => {
self.post_event(
"message",
serde_json::json!({
"role": "assistant",
"content": truncate(&response, 2000),
}),
)
.await;
if crate::util::llm_signals_completion(&response) {
if last_output.is_empty() {
last_output = response.clone();
}
return Ok(last_output);
}
reason_ctx.messages.push(ChatMessage::assistant(&response));
// Nudge the LLM if it expressed tool intent without calling tools
let signals_intent = !reason_ctx.available_tools.is_empty()
&& crate::llm::llm_signals_tool_intent(&response);
if signals_intent && consecutive_tool_intent_nudges < MAX_TOOL_INTENT_NUDGES
{
consecutive_tool_intent_nudges += 1;
tracing::info!(
"LLM expressed tool intent without calling a tool, nudging"
);
reason_ctx
.messages
.push(ChatMessage::user(crate::llm::TOOL_INTENT_NUDGE));
} else if !signals_intent {
consecutive_tool_intent_nudges = 0;
}
}
RespondResult::ToolCalls {
tool_calls,
content,
} => {
consecutive_tool_intent_nudges = 0;
if let Some(ref text) = content {
self.post_event(
"message",
serde_json::json!({
"role": "assistant",
"content": truncate(text, 2000),
}),
)
.await;
}
// Add assistant message with tool_calls (OpenAI protocol)
reason_ctx
.messages
.push(ChatMessage::assistant_with_tool_calls(
content,
tool_calls.clone(),
));
for tc in tool_calls {
self.post_event(
"tool_use",
serde_json::json!({
"tool_name": tc.name,
"input": truncate(&tc.arguments.to_string(), 500),
}),
)
.await;
let result = self.execute_tool(&tc.name, &tc.arguments).await;
self.post_event(
"tool_result",
serde_json::json!({
"tool_name": tc.name,
"output": match &result {
Ok(output) => truncate(output, 2000),
Err(e) => format!("Error: {}", truncate(e, 500)),
},
"success": result.is_ok(),
}),
)
.await;
if let Ok(ref output) = result {
last_output = output.clone();
}
let selection = ToolSelection {
tool_name: tc.name.clone(),
parameters: tc.arguments.clone(),
reasoning: String::new(),
alternatives: vec![],
tool_call_id: tc.id.clone(),
};
self.process_result(reason_ctx, &selection, result);
}
}
}
} else {
consecutive_tool_intent_nudges = 0;
// Execute selected tools
for selection in &selections {
self.post_event(
"tool_use",
serde_json::json!({
"tool_name": selection.tool_name,
"input": truncate(&selection.parameters.to_string(), 500),
}),
)
.await;
let result = self
.execute_tool(&selection.tool_name, &selection.parameters)
.await;
self.post_event(
"tool_result",
serde_json::json!({
"tool_name": selection.tool_name,
"output": match &result {
Ok(output) => truncate(output, 2000),
Err(e) => format!("Error: {}", truncate(e, 500)),
},
"success": result.is_ok(),
}),
)
.await;
if let Ok(ref output) = result {
last_output = output.clone();
}
let completed = self.process_result(reason_ctx, selection, result);
if completed {
return Ok(last_output);
}
}
}
// Brief pause between iterations
tokio::time::sleep(Duration::from_millis(100)).await;
}
Err(WorkerError::ExecutionFailed {
reason: format!("max iterations ({}) exceeded", max_iterations),
})
}
async fn execute_tool(
&self,
tool_name: &str,
params: &serde_json::Value,
) -> Result<String, String> {
let tool = match self.tools.get(tool_name).await {
Some(t) => t,
None => return Err(format!("tool '{}' not found", tool_name)),
};
let ctx = JobContext {
extra_env: self.extra_env.clone(),
..Default::default()
};
// Validate params
let validation = self.safety.validator().validate_tool_params(params);
if !validation.is_valid {
let details = validation
.errors
.iter()
.map(|e| format!("{}: {}", e.field, e.message))
.collect::<Vec<_>>()
.join("; ");
return Err(format!("invalid parameters: {}", details));
}
// Execute with per-tool timeout
let tool_timeout = tool.execution_timeout();
let result = tokio::time::timeout(tool_timeout, tool.execute(params.clone(), &ctx)).await;
match result {
Ok(Ok(output)) => serde_json::to_string_pretty(&output.result)
.map_err(|e| format!("serialization error: {}", e)),
Ok(Err(e)) => Err(e.to_string()),
Err(_) => Err("tool execution timed out".to_string()),
}
}
/// Process a tool result into the reasoning context. Returns true if the job is complete.
fn process_result(
&self,
reason_ctx: &mut ReasoningContext,
selection: &ToolSelection,
result: Result<String, String>,
) -> bool {
match result {
Ok(output) => {
let sanitized = self
.safety
.sanitize_tool_output(&selection.tool_name, &output);
let wrapped = self.safety.wrap_for_llm(
&selection.tool_name,
&sanitized.content,
sanitized.was_modified,
);
reason_ctx.messages.push(ChatMessage::tool_result(
&selection.tool_call_id,
&selection.tool_name,
wrapped,
));
// Tool output should never signal job completion. Only the LLM's
// natural language response should decide when a job is done. A
// tool could return text containing "TASK_COMPLETE" in its output
// (e.g. from file contents) and trigger a false positive.
false
}
Err(e) => {
tracing::warn!("Tool {} failed: {}", selection.tool_name, e);
reason_ctx.messages.push(ChatMessage::tool_result(
&selection.tool_call_id,
&selection.tool_name,
format!("Error: {}", e),
));
false
}
}
}
/// Post a job event to the orchestrator (fire-and-forget).
async fn post_event(&self, event_type: &str, data: serde_json::Value) {
self.client
.post_event(&JobEventPayload {
event_type: event_type.to_string(),
data,
})
.await;
}
/// Poll the orchestrator for a follow-up prompt. If one is available,
/// inject it as a user message into the reasoning context.
async fn poll_and_inject_prompt(&self, reason_ctx: &mut ReasoningContext) {
match self.client.poll_prompt().await {
Ok(Some(prompt)) => {
tracing::info!(
"Received follow-up prompt: {}",
truncate(&prompt.content, 100)
);
self.post_event(
"message",
serde_json::json!({
"role": "user",
"content": truncate(&prompt.content, 2000),
}),
)
.await;
reason_ctx.messages.push(ChatMessage::user(&prompt.content));
}
Ok(None) => {}
Err(e) => {
tracing::debug!("Failed to poll for prompt: {}", e);
}
}
}
}
fn truncate(s: &str, max: usize) -> String {
if s.len() <= max {
s.to_string()
} else {
let end = crate::util::floor_char_boundary(s, max);
format!("{}...", &s[..end])
}
}
#[cfg(test)]
mod tests {
use crate::worker::runtime::truncate;
#[test]
fn test_truncate_within_limit() {
assert_eq!(truncate("hello", 10), "hello");
}
#[test]
fn test_truncate_at_limit() {
assert_eq!(truncate("hello", 5), "hello");
}
#[test]
fn test_truncate_beyond_limit() {
let result = truncate("hello world", 5);
assert_eq!(result, "hello...");
}
#[test]
fn test_truncate_multibyte_safe() {
// "é" is 2 bytes in UTF-8; slicing at byte 1 would panic without safety
let result = truncate("é is fancy", 1);
// Should truncate to 0 chars (can't fit "é" in 1 byte)
assert_eq!(result, "...");
}
}