Files
optimclaw/tests/support/test_rig.rs
T
4c043bf057 feat: complete multi-tenant isolation — phases 2–4 (#1614)
* feat: complete multi-tenant isolation — per-user budgets, model selection, heartbeat cycling

Finishes the remaining isolation work from phases 2–4 of #59:

Phase 2 (DB scoping): Fix /status and /list commands to use _for_user
DB variants instead of global queries that leaked cross-user job data.

Phase 3 (Runtime isolation): Per-user workspace in routine engine's
spawn_fire so lightweight routines run in the correct user context.
Per-user daily cost tracking in CostGuard with configurable budget via
MAX_COST_PER_USER_PER_DAY_CENTS. Multi-user heartbeat that cycles
through all users with routines, auto-detected from GATEWAY_USER_TOKENS.

Phase 4 (Provider/tools): Per-user model selection via preferred_model
setting — looked up from SettingsStore on first iteration, threaded
through ReasoningContext.model_override to CompletionRequest. Works
with providers that support per-request model overrides (NearAI).

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix: use selected_model setting key to match /model command persistence

The dispatcher was reading "preferred_model" but the /model command
(merged from staging) persists to "selected_model". Since set_setting
is already per-user scoped, using the same key makes /model work as
the per-user model override in multi-tenant mode.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix: heartbeat hygiene, /model multi-tenant guard, RigAdapter model override

Three follow-up fixes for multi-tenant isolation:

1. Multi-user heartbeat now runs memory hygiene per user before each
   heartbeat check, matching single-user heartbeat behavior.

2. /model command in multi-tenant mode only persists to per-user
   settings (selected_model) without calling set_model() on the shared
   LlmProvider. The per-request model_override in the dispatcher reads
   from the same setting. Added multi_tenant flag to AgentConfig
   (auto-detected from GATEWAY_USER_TOKENS).

3. RigAdapter now supports per-request model overrides by injecting the
   model name into rig-core's additional_params. OpenAI/Anthropic/Ollama
   API servers use last-key-wins for duplicate JSON keys, so the override
   takes effect via serde's flatten serialization order.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix: address PR review — cost model attribution, heartbeat concurrency, pruning

Fixes from review comments on #1614:

- Cost tracking now uses the override model name (not active_model_name)
  when a per-user model override is active, for accurate attribution.
- Multi-user heartbeat runs per-user checks concurrently via JoinSet
  instead of sequentially, preventing one slow user from blocking others.
- Per-user failure counts tracked independently; users exceeding
  max_failures are skipped (matching single-user semantics).
- per_user_daily_cost HashMap pruned on day rollover to prevent
  unbounded growth in long-lived deployments.
- Doc comment fixed: says "routines" not "active routines".

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix: /status ownership, model persistence scoping, heartbeat robustness

Addresses second round of PR review on #1614:

- /status <job_id> DB path now validates job.user_id == requesting user
  before returning data (was missing ownership check, security fix).

- persist_selected_model takes user_id param instead of owner_id, and
  skips .env/TOML writes in multi-tenant mode (these are shared global
  files). handle_system_command now receives user_id from caller.

- JoinSet collection handles Err(JoinError) explicitly instead of
  silently dropping panicked tasks.

- Notification forwarder extracts owner_id from response metadata in
  multi-tenant mode for per-user routing instead of broadcasting to
  the agent owner.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* fix: cost pricing, fire_manual workspace, heartbeat concurrency cap

Round 3 review fixes:

- Cost tracking passes None for cost_per_token when model override is
  active, letting CostGuard look up pricing by model name instead of
  using the default provider's rates (serrrfirat).

- fire_manual() now uses per-user workspace, matching spawn_fire()
  pattern (serrrfirat).

- Removed MULTI_TENANT env var — multi-tenant mode is auto-detected
  solely from GATEWAY_USER_TOKENS presence (serrrfirat + Copilot).

- Multi-user heartbeat capped at 8 concurrent tasks to avoid flooding
  the LLM provider (serrrfirat + Copilot).

- Fixed inject_model_override doc comment accuracy (Copilot).

- Added comment explaining multi-tenant notification routing priority
  (Copilot).

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* feat: user-scoped webhook endpoint for multi-tenant isolation

Adds POST /api/webhooks/u/{user_id}/{path} — a user-scoped webhook
endpoint that filters the routine lookup by user_id, preventing
cross-user webhook triggering when paths collide.

The existing /api/webhooks/{path} endpoint remains unchanged for
backward compatibility in single-user deployments.

Changes:
- get_webhook_routine_by_path gains user_id: Option<&str> param
- Both postgres and libsql implementations add AND user_id = ? filter
  when user_id is provided
- New webhook_trigger_user_scoped_handler extracts (user_id, path)
  from URL and passes to shared fire_webhook_inner logic
- Route registered on public router (webhooks are called by external
  services that can't send bearer tokens)

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

* feat: add TenantCtx for compile-time tenant isolation

Implements zmanian's architectural proposal from #1614 review:
two-tier scoped database access (TenantScope/AdminScope) so handler
code cannot accidentally bypass tenant scoping.

TenantScope (default): wraps user_id + Arc<dyn Database>, auto-binds
user_id on every operation. ID-based lookups return None for cross-
tenant resources. No escape hatch — forgetting to scope is a compile
error.

AdminScope (explicit opt-in): cross-tenant access for system-level
components (heartbeat, routine engine, self-repair, scheduler, worker).

TenantCtx bundles TenantScope + workspace + cost guard + per-user
rate limiting. Constructed once per request in handle_message, threaded
through all command handlers and ChatDelegate.

Key changes:
- New src/tenant.rs (~920 lines): TenantScope, AdminScope, TenantCtx,
  TenantRateState, TenantRateRegistry
- All command handlers: user_id: &str → ctx: &TenantCtx
- ChatDelegate: cost check/record/settings via self.tenant
- System components: store field changed to AdminScope
- Config: TENANT_MAX_LLM_CONCURRENT, TENANT_MAX_JOBS_CONCURRENT env vars
- Fixes bug: /status <job_id> cross-tenant leak (now auto-filtered)

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <[email protected]>
2026-03-25 17:24:48 -07:00

898 lines
34 KiB
Rust

//! TestRig -- a builder for wiring a real Agent with a replay LLM and test channel.
//!
//! Constructs a full `Agent` with real tools but a `TraceLlm` (or custom LLM)
//! and a `TestChannel`, runs the agent in a background tokio task, and provides
//! methods to inject messages, wait for responses, and inspect tool calls.
#![allow(dead_code)] // Public API consumed by later test modules (Task 4+).
use std::sync::Arc;
use std::time::{Duration, Instant};
use ironclaw::agent::{Agent, AgentDeps};
use ironclaw::app::{AppBuilder, AppBuilderFlags};
use ironclaw::channels::web::log_layer::LogBroadcaster;
use ironclaw::channels::{OutgoingResponse, StatusUpdate};
use ironclaw::config::Config;
use ironclaw::db::Database;
use ironclaw::llm::{LlmProvider, SessionConfig, SessionManager};
use ironclaw::tools::Tool;
use crate::support::instrumented_llm::InstrumentedLlm;
use crate::support::metrics::{ToolInvocation, TraceMetrics};
use crate::support::test_channel::{TestChannel, TestChannelHandle};
use crate::support::trace_llm::{LlmTrace, TraceLlm};
use ironclaw::llm::recording::{HttpExchange, HttpInterceptor, ReplayingHttpInterceptor};
// ---------------------------------------------------------------------------
// TestRig
// ---------------------------------------------------------------------------
/// A running test agent with methods to inject messages and inspect results.
pub struct TestRig {
/// The test channel for sending messages and reading captures.
channel: Arc<TestChannel>,
/// Instrumented LLM for collecting token/call metrics.
instrumented_llm: Arc<InstrumentedLlm>,
/// When the rig was created (for wall-time measurement).
start_time: Instant,
/// Maximum tool-call iterations per agentic loop (for count-based limit detection).
max_tool_iterations: usize,
/// Handle to the background agent task (wrapped in Option so Drop can take it).
agent_handle: Option<tokio::task::JoinHandle<()>>,
/// Database handle for direct queries in tests.
#[cfg(feature = "libsql")]
db: Arc<dyn Database>,
/// Workspace handle for direct memory operations in tests.
#[cfg(feature = "libsql")]
workspace: Option<Arc<ironclaw::workspace::Workspace>>,
/// The underlying TraceLlm for inspecting captured requests.
#[cfg(feature = "libsql")]
trace_llm: Option<Arc<TraceLlm>>,
/// Extension manager for direct extension operations in tests.
#[cfg(feature = "libsql")]
extension_manager: Option<Arc<ironclaw::extensions::ExtensionManager>>,
/// Session manager for direct session/thread access in tests.
#[cfg(feature = "libsql")]
session_manager: Arc<ironclaw::agent::SessionManager>,
/// Temp directory guard -- keeps the libSQL database file alive.
#[cfg(feature = "libsql")]
_temp_dir: tempfile::TempDir,
}
impl TestRig {
/// Inject a user message into the agent.
pub async fn send_message(&self, content: &str) {
self.channel.send_message(content).await;
}
/// Inject a raw `IncomingMessage` (for tests that need attachments, etc.).
pub async fn send_incoming(&self, msg: ironclaw::channels::IncomingMessage) {
self.channel.send_incoming(msg).await;
}
/// Return all message lists that were sent to the LLM provider.
///
/// Only available when the rig was built with a `TraceLlm` (i.e., via `.with_trace()`).
pub fn captured_llm_requests(&self) -> Vec<Vec<ironclaw::llm::ChatMessage>> {
self.trace_llm
.as_ref()
.map(|t| t.captured_requests())
.unwrap_or_default()
}
/// Return the extension manager for direct extension operations in tests.
pub fn extension_manager(&self) -> Option<&Arc<ironclaw::extensions::ExtensionManager>> {
self.extension_manager.as_ref()
}
/// Return the session manager for direct session/thread access in tests.
#[cfg(feature = "libsql")]
pub fn session_manager(&self) -> &Arc<ironclaw::agent::SessionManager> {
&self.session_manager
}
/// Wait until at least `n` responses have been captured, or `timeout` elapses.
pub async fn wait_for_responses(&self, n: usize, timeout: Duration) -> Vec<OutgoingResponse> {
self.channel.wait_for_responses(n, timeout).await
}
/// Return the names of all `ToolStarted` events captured so far.
pub fn tool_calls_started(&self) -> Vec<String> {
self.channel.tool_calls_started()
}
/// Return `(name, success)` for all `ToolCompleted` events captured so far.
pub fn tool_calls_completed(&self) -> Vec<(String, bool)> {
self.channel.tool_calls_completed()
}
/// Return `(name, preview)` for all `ToolResult` events captured so far.
pub fn tool_results(&self) -> Vec<(String, String)> {
self.channel.tool_results()
}
/// Return `(name, duration_ms)` for all completed tools with timing data.
pub fn tool_timings(&self) -> Vec<(String, u64)> {
self.channel.tool_timings()
}
/// Return a snapshot of all captured status events.
pub fn captured_status_events(&self) -> Vec<StatusUpdate> {
self.channel.captured_status_events()
}
/// Clear all captured responses and status events.
pub async fn clear(&self) {
self.channel.clear().await;
}
/// Number of LLM calls made so far.
pub fn llm_call_count(&self) -> u32 {
self.instrumented_llm.call_count()
}
/// Total input tokens across all LLM calls.
pub fn total_input_tokens(&self) -> u32 {
self.instrumented_llm.total_input_tokens()
}
/// Total output tokens across all LLM calls.
pub fn total_output_tokens(&self) -> u32 {
self.instrumented_llm.total_output_tokens()
}
/// Estimated total cost in USD.
pub fn estimated_cost_usd(&self) -> f64 {
self.instrumented_llm.estimated_cost_usd()
}
/// Wall-clock time since rig creation.
pub fn elapsed_ms(&self) -> u64 {
self.start_time.elapsed().as_millis() as u64
}
/// Collect a complete `TraceMetrics` snapshot from all captured data.
///
/// Call this after `wait_for_responses()` to get the full metrics for the
/// scenario. The `turns` count is based on the number of captured responses.
pub async fn collect_metrics(&self) -> TraceMetrics {
let completed = self.tool_calls_completed();
// Build ToolInvocation records from ToolStarted/ToolCompleted pairs,
// matching each completion with its captured timing data.
let timings = self.tool_timings();
let mut timing_iter_by_name: std::collections::HashMap<&str, Vec<u64>> =
std::collections::HashMap::new();
for (name, ms) in &timings {
timing_iter_by_name
.entry(name.as_str())
.or_default()
.push(*ms);
}
let tool_invocations: Vec<ToolInvocation> = completed
.iter()
.map(|(name, success)| {
let duration_ms = timing_iter_by_name
.get_mut(name.as_str())
.and_then(|v| {
if v.is_empty() {
None
} else {
Some(v.remove(0))
}
})
.unwrap_or(0);
ToolInvocation {
name: name.clone(),
duration_ms,
success: *success,
}
})
.collect();
// Detect if iteration limit was hit by comparing completed tool-call count
// against the configured max_tool_iterations threshold.
let hit_iteration_limit = completed.len() >= self.max_tool_iterations;
// Count turns as the number of captured responses.
let responses = self.channel.captured_responses();
let turns = responses.len() as u32;
TraceMetrics {
wall_time_ms: self.elapsed_ms(),
llm_calls: self.instrumented_llm.call_count(),
input_tokens: self.instrumented_llm.total_input_tokens(),
output_tokens: self.instrumented_llm.total_output_tokens(),
estimated_cost_usd: self.instrumented_llm.estimated_cost_usd(),
tool_calls: tool_invocations,
turns,
hit_iteration_limit,
hit_timeout: false, // Caller can set this based on wait_for_responses result.
}
}
/// Run a complete multi-turn trace, injecting user messages from the trace
/// and waiting for responses after each turn.
///
/// Returns a `Vec` of response lists, one per turn. Status events and tool
/// call data accumulate across all turns (no clearing between turns), so
/// post-run assertions like `tool_calls_started()` reflect the whole trace.
pub async fn run_trace(
&self,
trace: &LlmTrace,
timeout: Duration,
) -> Vec<Vec<OutgoingResponse>> {
let mut all_responses: Vec<Vec<OutgoingResponse>> = Vec::new();
let mut total_responses = 0usize;
for turn in &trace.turns {
self.send_message(&turn.user_input).await;
let responses = self.wait_for_responses(total_responses + 1, timeout).await;
// Extract only the new responses from this turn.
let turn_responses: Vec<OutgoingResponse> =
responses.into_iter().skip(total_responses).collect();
total_responses += turn_responses.len();
all_responses.push(turn_responses);
}
all_responses
}
/// Run a trace, then verify all declarative `expects` (top-level and per-turn).
///
/// Returns the per-turn response lists for additional manual assertions.
pub async fn run_and_verify_trace(
&self,
trace: &LlmTrace,
timeout: Duration,
) -> Vec<Vec<OutgoingResponse>> {
use crate::support::assertions::verify_expects;
let all_responses = self.run_trace(trace, timeout).await;
// Verify top-level expects against all accumulated data.
if !trace.expects.is_empty() {
let all_response_strings: Vec<String> = all_responses
.iter()
.flat_map(|turn| turn.iter().map(|r| r.content.clone()))
.collect();
let started = self.tool_calls_started();
let completed = self.tool_calls_completed();
let mut results = self.tool_results();
for status in self.channel.captured_status_events() {
if let ironclaw::channels::StatusUpdate::ToolCompleted {
name,
success: false,
error,
parameters,
} = status
{
let detail = format!(
"error={}; params={}",
error.unwrap_or_else(|| "unknown".to_string()),
parameters.unwrap_or_else(|| "{}".to_string())
);
results.push((name, detail));
}
}
verify_expects(
&trace.expects,
&all_response_strings,
&started,
&completed,
&results,
"top-level",
);
}
all_responses
}
/// Verify top-level `expects` from a trace against already-captured data.
///
/// Call this after `send_message()` + `wait_for_responses()` for flat-format
/// traces. For multi-turn traces, use `run_and_verify_trace()` instead.
pub fn verify_trace_expects(&self, trace: &LlmTrace, responses: &[OutgoingResponse]) {
use crate::support::assertions::verify_expects;
if trace.expects.is_empty() {
return;
}
let response_strings: Vec<String> = responses.iter().map(|r| r.content.clone()).collect();
let started = self.tool_calls_started();
let completed = self.tool_calls_completed();
let mut results = self.tool_results();
for status in self.channel.captured_status_events() {
if let ironclaw::channels::StatusUpdate::ToolCompleted {
name,
success: false,
error,
parameters,
} = status
{
let detail = format!(
"error={}; params={}",
error.unwrap_or_else(|| "unknown".to_string()),
parameters.unwrap_or_else(|| "{}".to_string())
);
results.push((name, detail));
}
}
verify_expects(
&trace.expects,
&response_strings,
&started,
&completed,
&results,
"top-level",
);
}
/// Signal the channel to shut down and abort the background agent task.
pub fn shutdown(mut self) {
self.channel.signal_shutdown();
if let Some(handle) = self.agent_handle.take() {
handle.abort();
}
}
}
impl Drop for TestRig {
fn drop(&mut self) {
if let Some(handle) = self.agent_handle.take()
&& !handle.is_finished()
{
handle.abort();
}
}
}
// ---------------------------------------------------------------------------
// TestRigBuilder
// ---------------------------------------------------------------------------
/// Specification for loading a real WASM tool in the test rig.
pub struct WasmToolSpec {
pub name: String,
pub wasm_path: std::path::PathBuf,
pub capabilities_path: Option<std::path::PathBuf>,
}
/// Builder for constructing a `TestRig`.
pub struct TestRigBuilder {
trace: Option<LlmTrace>,
llm: Option<Arc<dyn LlmProvider>>,
max_tool_iterations: usize,
injection_check: bool,
auto_approve_tools: Option<bool>,
enable_skills: bool,
enable_routines: bool,
http_exchanges: Vec<HttpExchange>,
extra_tools: Vec<Arc<dyn Tool>>,
wasm_tools: Vec<WasmToolSpec>,
keep_bootstrap: bool,
}
impl TestRigBuilder {
/// Create a new builder with defaults.
pub fn new() -> Self {
Self {
trace: None,
llm: None,
max_tool_iterations: 10,
injection_check: false,
auto_approve_tools: Some(true),
enable_skills: false,
enable_routines: false,
http_exchanges: Vec::new(),
extra_tools: Vec::new(),
wasm_tools: Vec::new(),
keep_bootstrap: false,
}
}
/// Load a real WASM tool binary into the test rig.
///
/// The tool will be compiled, registered, and wired with the same HTTP
/// interceptor used for `with_http_exchanges()`, so `http_exchanges` in
/// the trace can specify expected requests/responses for WASM tool HTTP calls.
///
/// If the WASM binary does not exist at build time, the tool is silently
/// skipped (logged as a warning). Tests should use `#[ignore]` or check
/// for the binary in a preamble if the tool is required.
pub fn with_wasm_tool(
mut self,
name: impl Into<String>,
wasm_path: impl Into<std::path::PathBuf>,
capabilities_path: Option<std::path::PathBuf>,
) -> Self {
self.wasm_tools.push(WasmToolSpec {
name: name.into(),
wasm_path: wasm_path.into(),
capabilities_path,
});
self
}
/// Set the LLM trace to replay.
pub fn with_trace(mut self, trace: LlmTrace) -> Self {
self.trace = Some(trace);
self
}
/// Override the LLM provider directly (takes precedence over trace).
pub fn with_llm(mut self, llm: Arc<dyn LlmProvider>) -> Self {
self.llm = Some(llm);
self
}
/// Set the maximum number of tool iterations per agentic loop invocation.
pub fn with_max_tool_iterations(mut self, n: usize) -> Self {
self.max_tool_iterations = n;
self
}
/// Register additional custom tools (e.g. stub tools for testing).
pub fn with_extra_tools(mut self, tools: Vec<Arc<dyn Tool>>) -> Self {
self.extra_tools = tools;
self
}
/// Enable prompt injection detection in the safety layer.
///
/// When enabled, tool outputs are scanned for injection patterns
/// (e.g., "ignore previous instructions", special tokens like `<|endoftext|>`)
/// and critical patterns are escaped before reaching the LLM.
pub fn with_injection_check(mut self, enable: bool) -> Self {
self.injection_check = enable;
self
}
/// Override agent-level automatic approval of `UnlessAutoApproved` tools.
pub fn with_auto_approve_tools(mut self, enable: bool) -> Self {
self.auto_approve_tools = Some(enable);
self
}
/// Enable skill discovery and registration for this test rig.
pub fn with_skills(mut self) -> Self {
self.enable_skills = true;
self
}
/// Enable the routines system so the scheduler is wired with a `RoutineEngine`,
/// allowing routine jobs to actually execute. Routine tools are always registered
/// but require the engine to dispatch jobs.
pub fn with_routines(mut self) -> Self {
self.enable_routines = true;
self
}
/// Keep `bootstrap_pending` so the proactive greeting fires on startup.
pub fn with_bootstrap(mut self) -> Self {
self.keep_bootstrap = true;
self
}
/// Add pre-recorded HTTP exchanges for the `ReplayingHttpInterceptor`.
///
/// When set, all `http` tool calls will return these responses in order
/// instead of making real network requests.
pub fn with_http_exchanges(mut self, exchanges: Vec<HttpExchange>) -> Self {
self.http_exchanges = exchanges;
self
}
/// Build the test rig, creating a real agent and spawning it in the background.
///
/// Uses `AppBuilder::build_all()` to get the same component set as the real
/// binary, with only the LLM swapped for TraceLlm.
///
/// Requires the `libsql` feature for the embedded test database.
#[cfg(feature = "libsql")]
pub async fn build(self) -> TestRig {
use ironclaw::channels::ChannelManager;
use ironclaw::db::libsql::LibSqlBackend;
// Destructure self up front to avoid partial-move issues.
let TestRigBuilder {
trace,
llm,
max_tool_iterations,
injection_check,
auto_approve_tools,
enable_skills,
enable_routines,
http_exchanges: explicit_http_exchanges,
extra_tools,
wasm_tools,
keep_bootstrap,
} = self;
// 1. Create temp dir + libSQL database + run migrations.
let temp_dir = tempfile::tempdir().expect("failed to create temp dir");
let db_path = temp_dir.path().join("test_rig.db");
let backend = LibSqlBackend::new_local(&db_path)
.await
.expect("failed to create test LibSqlBackend");
backend
.run_migrations()
.await
.expect("failed to run migrations");
let db: Arc<dyn ironclaw::db::Database> = Arc::new(backend);
// 2. Build Config::for_testing().
let skills_dir = temp_dir.path().join("skills");
let installed_skills_dir = temp_dir.path().join("installed_skills");
let _ = std::fs::create_dir_all(&skills_dir);
let _ = std::fs::create_dir_all(&installed_skills_dir);
let mut config = Config::for_testing(db_path, skills_dir, installed_skills_dir);
config.agent.max_tool_iterations = max_tool_iterations;
config.safety.injection_check_enabled = injection_check;
config.skills.enabled = enable_skills;
if let Some(v) = auto_approve_tools {
config.agent.auto_approve_tools = v;
}
// 3. Create SessionManager + LogBroadcaster.
let session = Arc::new(SessionManager::new(SessionConfig::default()));
let log_broadcaster = Arc::new(LogBroadcaster::new());
// 4. Create TraceLlm + InstrumentedLlm, extract HTTP exchanges for replay.
let trace_http_exchanges = trace
.as_ref()
.map(|t| t.http_exchanges.clone())
.unwrap_or_default();
let mut trace_llm_ref: Option<Arc<TraceLlm>> = None;
let base_llm: Arc<dyn LlmProvider> = if let Some(llm) = llm {
llm
} else if let Some(trace) = trace {
let tlm = Arc::new(TraceLlm::from_trace(trace));
trace_llm_ref = Some(Arc::clone(&tlm));
tlm
} else {
let trace = LlmTrace::single_turn(
"test-rig-default",
"(default)",
vec![crate::support::trace_llm::TraceStep {
request_hint: None,
response: crate::support::trace_llm::TraceResponse::Text {
content: "Hello from test rig!".to_string(),
input_tokens: 10,
output_tokens: 5,
},
expected_tool_results: Vec::new(),
}],
);
let tlm = Arc::new(TraceLlm::from_trace(trace));
trace_llm_ref = Some(Arc::clone(&tlm));
tlm
};
let instrumented = Arc::new(InstrumentedLlm::new(base_llm));
let llm: Arc<dyn LlmProvider> = Arc::clone(&instrumented) as Arc<dyn LlmProvider>;
// 5. Build AppComponents via AppBuilder with injected DB and LLM.
let mut builder = AppBuilder::new(
config,
AppBuilderFlags::default(),
None,
session,
log_broadcaster,
);
builder.with_database(Arc::clone(&db));
builder.with_llm(llm);
let mut components = builder
.build_all()
.await
.expect("AppBuilder::build_all() failed in test rig");
// Clear bootstrap flag so tests don't get an unexpected proactive greeting
// (unless the test explicitly wants to test the bootstrap flow).
if !keep_bootstrap && let Some(ref ws) = components.workspace {
ws.take_bootstrap_pending();
}
// AppBuilder may re-resolve config from env/TOML and override test defaults.
// Force test-rig agent flags to the requested deterministic values.
components.config.agent.auto_approve_tools = auto_approve_tools.unwrap_or(true);
components.config.agent.allow_local_tools = true;
let scheduler_slot: ironclaw::tools::builtin::SchedulerSlot =
Arc::new(tokio::sync::RwLock::new(None));
// Build HTTP interceptor once — shared by both AgentDeps and WASM tools.
let http_interceptor: Option<Arc<dyn HttpInterceptor>> = {
let exchanges = if explicit_http_exchanges.is_empty() {
trace_http_exchanges
} else {
explicit_http_exchanges
};
if exchanges.is_empty() {
None
} else {
Some(Arc::new(ReplayingHttpInterceptor::new(exchanges)) as Arc<dyn HttpInterceptor>)
}
};
// 6. Register job tools, routine tools, and extra tools.
{
// Ensure filesystem/shell dev tools are always available in the
// test rig, even if upstream builder flags/config disable local tools.
components.tools.register_dev_tools();
components.tools.register_job_tools(
Arc::clone(&components.context_manager),
Some(scheduler_slot.clone()),
None,
components.db.clone(),
None,
None,
None,
None,
);
// Routine tools: create a RoutineEngine with the LLM and workspace.
if let (Some(db_arc), Some(ws)) = (&components.db, &components.workspace) {
use ironclaw::agent::routine_engine::RoutineEngine;
use ironclaw::config::RoutineConfig;
let routine_config = RoutineConfig::default();
let (notify_tx, _notify_rx) = tokio::sync::mpsc::channel(16);
let engine = Arc::new(RoutineEngine::new(
routine_config,
ironclaw::tenant::AdminScope::new(Arc::clone(db_arc)),
components.llm.clone(),
Arc::clone(ws),
notify_tx,
None,
None,
components.tools.clone(),
components.safety.clone(),
ironclaw::agent::SandboxReadiness::Available, // tests don't use real Docker
));
components
.tools
.register_routine_tools(Arc::clone(db_arc), engine);
}
// Skills tools: ensure tests use temp skill dirs (sandbox-safe) even if
// AppBuilder did not wire them for this environment.
if enable_skills {
let registry = Arc::new(std::sync::RwLock::new(
ironclaw::skills::SkillRegistry::new(temp_dir.path().join("skills"))
.with_installed_dir(temp_dir.path().join("installed_skills")),
));
let catalog = ironclaw::skills::catalog::shared_catalog();
components
.tools
.register_skill_tools(Arc::clone(&registry), Arc::clone(&catalog));
components.skill_registry = Some(registry);
components.skill_catalog = Some(catalog);
}
// Register any extra test-specific tools.
for tool in extra_tools {
components.tools.register(tool).await;
}
// Register WASM tools with the shared HTTP interceptor.
if !wasm_tools.is_empty() {
use ironclaw::tools::wasm::{
Capabilities, CapabilitiesFile, WasmRuntimeConfig, WasmToolRuntime,
WasmToolWrapper,
};
let runtime = Arc::new(
WasmToolRuntime::new(WasmRuntimeConfig::default())
.expect("create WASM runtime for test rig"),
);
for spec in wasm_tools {
if !spec.wasm_path.exists() {
tracing::warn!(
name = %spec.name,
path = %spec.wasm_path.display(),
"WASM tool binary not found, skipping"
);
continue;
}
let wasm_bytes = tokio::fs::read(&spec.wasm_path)
.await
.unwrap_or_else(|e| panic!("read {}: {e}", spec.wasm_path.display()));
let (capabilities, description) =
if let Some(cap_path) = &spec.capabilities_path {
if cap_path.exists() {
let cap_bytes = tokio::fs::read(cap_path)
.await
.unwrap_or_else(|e| panic!("read {}: {e}", cap_path.display()));
let cap_file = CapabilitiesFile::from_bytes(&cap_bytes)
.expect("parse capabilities.json");
(cap_file.to_capabilities(), cap_file.description.clone())
} else {
(Capabilities::default(), None)
}
} else {
(Capabilities::default(), None)
};
let prepared = runtime
.prepare(&spec.name, &wasm_bytes, None)
.await
.unwrap_or_else(|e| panic!("prepare WASM tool '{}': {e}", spec.name));
let mut wrapper =
WasmToolWrapper::new(Arc::clone(&runtime), prepared, capabilities);
if let Some(desc) = description {
wrapper = wrapper.with_description(desc);
}
if let Some(interceptor) = &http_interceptor {
wrapper = wrapper.with_http_interceptor(Arc::clone(interceptor));
}
components.tools.register(Arc::new(wrapper)).await;
}
}
}
// Save references for test accessors.
let db_ref = components.db.clone().expect("test rig requires a database");
let workspace_ref = components.workspace.clone();
let ext_mgr_ref = components.extension_manager.clone();
let session_manager_ref = Arc::new(ironclaw::agent::SessionManager::new());
// 7. Construct AgentDeps from AppComponents (mirrors main.rs).
let deps = AgentDeps {
owner_id: components.config.owner_id.clone(),
store: components.db,
llm: components.llm,
cheap_llm: components.cheap_llm,
safety: components.safety,
tools: components.tools,
workspace: components.workspace,
extension_manager: components.extension_manager,
skill_registry: components.skill_registry,
skill_catalog: components.skill_catalog,
skills_config: components.config.skills.clone(),
hooks: components.hooks,
cost_guard: components.cost_guard,
sse_tx: None,
http_interceptor,
transcription: None,
document_extraction: None,
sandbox_readiness: ironclaw::agent::SandboxReadiness::Available, // tests don't use real Docker
builder: None,
llm_backend: "nearai".to_string(),
tenant_rates: std::sync::Arc::new(ironclaw::tenant::TenantRateRegistry::new(4, 3)),
};
// 7. Create TestChannel and ChannelManager.
// When testing bootstrap, the channel must be named "gateway" because
// the bootstrap greeting targets only the gateway channel.
let test_channel = if self.keep_bootstrap {
Arc::new(TestChannel::new().with_name("gateway"))
} else {
Arc::new(TestChannel::new())
};
let handle = TestChannelHandle::new(Arc::clone(&test_channel));
let channel_manager = ChannelManager::new();
channel_manager.add(Box::new(handle)).await;
let channels = Arc::new(channel_manager);
// 7b. Register message tool so routines can send messages to channels.
deps.tools
.register_message_tools(Arc::clone(&channels), deps.extension_manager.clone())
.await;
// 8. Create Agent.
let routine_config = if enable_routines {
Some(ironclaw::config::RoutineConfig {
enabled: true,
cron_check_interval_secs: 60,
max_concurrent_routines: 3,
default_cooldown_secs: 300,
max_lightweight_tokens: 4096,
lightweight_tools_enabled: true,
lightweight_max_iterations: 3,
})
} else {
None
};
let agent = Agent::new(
components.config.agent.clone(),
deps,
channels,
None, // heartbeat_config
None, // hygiene_config
routine_config,
Some(Arc::clone(&components.context_manager)),
Some(Arc::clone(&session_manager_ref)),
);
// Match main.rs: fill the scheduler slot once Agent::new has created it.
*scheduler_slot.write().await = Some(agent.scheduler());
// 9. Spawn agent in background task.
let agent_handle = tokio::spawn(async move {
if let Err(e) = agent.run().await {
eprintln!("[TestRig] Agent exited with error: {e}");
}
});
// 10. Wait for the agent to call channel.start() (up to 5 seconds).
if let Some(rx) = test_channel.take_ready_rx().await {
let _ = tokio::time::timeout(Duration::from_secs(5), rx).await;
}
TestRig {
channel: test_channel,
instrumented_llm: instrumented,
start_time: Instant::now(),
max_tool_iterations,
agent_handle: Some(agent_handle),
db: db_ref,
workspace: workspace_ref,
trace_llm: trace_llm_ref,
extension_manager: ext_mgr_ref,
session_manager: session_manager_ref,
_temp_dir: temp_dir,
}
}
}
impl Default for TestRigBuilder {
fn default() -> Self {
Self::new()
}
}
impl TestRig {
/// Get the database handle for direct queries.
#[cfg(feature = "libsql")]
pub fn database(&self) -> &Arc<dyn Database> {
&self.db
}
/// Get the workspace handle for direct memory operations.
#[cfg(feature = "libsql")]
pub fn workspace(&self) -> Option<&Arc<ironclaw::workspace::Workspace>> {
self.workspace.as_ref()
}
/// Get the underlying TraceLlm for inspecting captured requests.
#[cfg(feature = "libsql")]
pub fn trace_llm(&self) -> Option<&Arc<TraceLlm>> {
self.trace_llm.as_ref()
}
/// Check if any captured status events contain safety/injection warnings.
pub fn has_safety_warnings(&self) -> bool {
self.captured_status_events().iter().any(|s| {
matches!(s, StatusUpdate::Status(msg) if msg.contains("sanitiz") || msg.contains("inject") || msg.contains("warning"))
})
}
}
// ---------------------------------------------------------------------------
// Convenience: run a recorded trace fixture end-to-end
// ---------------------------------------------------------------------------
/// Load a recorded trace fixture, build a rig, run and verify expects, then shut down.
///
/// `filename` is relative to `tests/fixtures/llm_traces/recorded/`.
#[cfg(feature = "libsql")]
pub async fn run_recorded_trace(filename: &str) {
let path = format!(
"{}/tests/fixtures/llm_traces/recorded/{filename}",
env!("CARGO_MANIFEST_DIR")
);
let trace = LlmTrace::from_file(&path)
.unwrap_or_else(|e| panic!("failed to load trace {filename}: {e}"));
let rig = TestRigBuilder::new()
.with_trace(trace.clone())
.build()
.await;
rig.run_and_verify_trace(&trace, Duration::from_secs(30))
.await;
rig.shutdown();
}