Merge remote-tracking branch 'origin/main' into qa/pr-597

This commit is contained in:
Bryan Helmkamp 2026-07-23 12:43:06 -04:00
commit 770d393a0c
No known key found for this signature in database
23 changed files with 1117 additions and 48 deletions

View file

@ -262,7 +262,7 @@ Otherwise set preferred_next_label to \"more_work_needed\"."
**Three-category triage** — failures are classified as IMPLEMENTABLE (can fix now), STRUCTURAL (needs architecture work), or DEFERRED (needs external resources). This prevents the agent from wasting cycles on items it can't address in a code-only pass.
**Batched fixes** — the `fix_batch` node tackles up to 5 failures per iteration. The self-loop (`fix_batch -> fix_batch` with `loop_restart=true`) allows it to keep going when more fixes remain, while `goal_gate=true` ensures the workflow only succeeds if fixes were actually applied.
**Batched fixes** — the `fix_batch` node tackles up to 5 failures per iteration. The self-loop (`fix_batch -> fix_batch` with `loop_restart=true`) allows it to keep going when more fixes remain, while `goal_gate=true` ensures the workflow only succeeds if fixes were actually applied. Because `loop_restart` begins each round with a fresh, empty context, every iteration re-derives the remaining work from the repository state rather than from accumulated conversation history — see [Failures — Loop restart edges](/execution/failures#loop-restart-edges).
**Build gate** — after each fix batch, a script node runs `cargo build` and `cargo test`. If the build breaks, a dedicated `build_fix` node diagnoses and repairs compilation errors before retrying.

View file

@ -232,7 +232,11 @@ Failure signature counts are never reset on success. This is intentional — it
### Loop restart edges
Edges marked with `loop_restart=true` trigger a special restart of the workflow from the target node. These have an additional guard: only `transient_infra` failures may cross a `loop_restart` edge. If the failure class is anything else, the run is terminated:
Taking an edge marked with `loop_restart=true` restarts the workflow from the edge's target node. A restart is more than a jump: the completed-stage history, per-node outcomes, and retry counts are cleared, and the run context is replaced with a **fresh, empty context** — the target node starts over as if the run had just begun there, with no preamble of prior stages. Node visit counts are the one thing preserved, so `max_visits` and `max_node_visits` still bound how many times a restart loop can run.
A **successful** outcome may take a `loop_restart` edge freely. This is the "start another round from a clean slate" pattern — for example, a self-loop that begins a fresh batch of work and re-derives its remaining work from the repository state rather than from accumulated context.
A **failed** outcome faces an additional guard: only `transient_infra` failures may cross a `loop_restart` edge. If the failure class is anything else, the run is terminated:
```
loop_restart blocked: failure_class=deterministic (requires transient_infra)

View file

@ -284,7 +284,7 @@ audit [
| `weight` | Integer | Priority for tiebreaking (higher wins, default: 0) |
| `fidelity` | String | Override fidelity level for this transition |
| `thread_id` | String | Override thread ID for this transition |
| `loop_restart` | Boolean | Mark this edge as a loop restart point |
| `loop_restart` | Boolean | Restart the workflow from this edge's target when taken: stage history and retry counts clear and the context resets to empty (visit counts are kept). Failed outcomes may only take it for `transient_infra` failures — see [Failures](/execution/failures#loop-restart-edges) |
| `freeform` | Boolean | When `true` on a human-gate edge, accept free-text input instead of fixed choices |
## Condition expressions

View file

@ -15,7 +15,7 @@ use fabro_llm::{Error as LlmError, retry};
use fabro_mcp::config::{McpServerSettings, McpTransport};
use fabro_mcp::connection_manager::McpConnectionManager;
use fabro_mcp::http_transport;
use fabro_model::{AgentProfileKind, Catalog, ModelRef, Speed};
use fabro_model::{AgentProfileKind, Catalog, ModelRef, Speed, UsdMicros};
use fabro_types::{
AgentToolSummary, PermissionLevel, Principal, SessionMessage, SessionRecord,
StageContextWindowProjection, SteeringMessage,
@ -354,6 +354,7 @@ pub struct Session {
completion_coordinator: Option<Arc<dyn CompletionCoordinator>>,
last_input_timing: SessionInputTiming,
last_input_usage: TokenCounts,
last_input_cost: Option<UsdMicros>,
}
impl Session {
@ -393,6 +394,7 @@ impl Session {
completion_coordinator: None,
last_input_timing: SessionInputTiming::default(),
last_input_usage: TokenCounts::default(),
last_input_cost: None,
}
}
@ -1222,6 +1224,11 @@ impl Session {
self.last_input_usage.clone()
}
#[must_use]
pub const fn last_input_cost(&self) -> Option<UsdMicros> {
self.last_input_cost
}
/// Process an input. The inference/tool timing accumulated during the call
/// is available via [`Self::last_input_timing`] after this returns, even on
/// error.
@ -1232,8 +1239,10 @@ impl Session {
) -> Result<(), Error> {
let mut timing = SessionInputTiming::default();
let mut usage = TokenCounts::default();
let mut cost = None;
self.last_input_timing = timing;
self.last_input_usage = TokenCounts::default();
self.last_input_cost = None;
if self.state == SessionState::Closed {
return Err(Error::SessionClosed);
}
@ -1258,7 +1267,13 @@ impl Session {
// Process the initial input, then drain any followups
let mut result = self
.run_single_input(input, &agent_tool_runtime, &mut timing, &mut usage)
.run_single_input(
input,
&agent_tool_runtime,
&mut timing,
&mut usage,
&mut cost,
)
.await;
if result.is_ok() {
@ -1270,7 +1285,13 @@ impl Session {
.pop_front();
let Some(followup) = followup else { break };
result = self
.run_single_input(&followup, &agent_tool_runtime, &mut timing, &mut usage)
.run_single_input(
&followup,
&agent_tool_runtime,
&mut timing,
&mut usage,
&mut cost,
)
.await;
if result.is_err() {
break;
@ -1290,6 +1311,7 @@ impl Session {
self.last_input_timing = timing;
self.last_input_usage = usage;
self.last_input_cost = cost;
result
}
@ -1299,6 +1321,7 @@ impl Session {
agent_tool_runtime: &AgentToolRuntime,
timing: &mut SessionInputTiming,
usage_accumulator: &mut TokenCounts,
cost_accumulator: &mut Option<UsdMicros>,
) -> Result<(), Error> {
const STREAM_CONSUME_RETRIES: usize = 3;
@ -1704,6 +1727,7 @@ impl Session {
&usage,
));
*usage_accumulator += usage.clone();
UsdMicros::accumulate(cost_accumulator, response.cost_usd.map(UsdMicros::from_usd));
self.history.push(Message::Assistant {
content: text.clone(),
@ -1729,6 +1753,8 @@ impl Session {
text: text.clone(),
model,
usage: response.usage.clone(),
cost_usd: response.cost_usd,
cost_source: response.cost_source,
tool_call_count: tool_calls.len(),
context_window,
});
@ -2276,6 +2302,25 @@ mod tests {
}
}
#[tokio::test]
async fn last_input_cost_sums_each_response_in_a_multi_turn_input() {
let mut registry = ToolRegistry::new();
registry.register(make_echo_tool());
let responses = vec![
response_with_cost(
tool_call_response("echo", "call_1", serde_json::json!({"text": "hello"})),
0.04,
),
response_with_cost(text_response("Done!"), 0.06),
];
let mut session = make_session_with_tools(responses, registry).await;
session.process_input("Use echo tool").await.unwrap();
assert_eq!(session.last_input_cost(), Some(UsdMicros(100_000)));
}
#[tokio::test]
async fn last_input_timing_reports_inference_and_tool_per_call() {
let mut registry = ToolRegistry::new();
@ -4009,6 +4054,12 @@ mod tests {
response
}
fn response_with_cost(mut response: Response, cost_usd: f64) -> Response {
response.cost_usd = Some(cost_usd);
response.cost_source = Some(fabro_model::CostSource::Authoritative);
response
}
fn response_with_input_tokens(response: Response, input_tokens: i64) -> Response {
response_with_usage(response, TokenCounts {
input_tokens,

View file

@ -3,7 +3,7 @@ use std::time::SystemTime;
use chrono::{DateTime, Utc};
use fabro_llm::Error as LlmError;
use fabro_llm::types::{ContentPart, ThinkingData, TokenCounts, ToolCall, ToolResult};
use fabro_model::ModelRef;
use fabro_model::{CostSource, ModelRef};
use fabro_types::{SessionMessage, StageContextWindowProjection};
use serde::de::DeserializeOwned;
use serde::{Deserialize, Serialize};
@ -245,6 +245,12 @@ pub enum AgentEvent {
text: String,
model: ModelRef,
usage: TokenCounts,
/// USD cost reported or estimated for this individual response.
#[serde(default, skip_serializing_if = "Option::is_none")]
cost_usd: Option<f64>,
/// Provenance of `cost_usd`.
#[serde(default, skip_serializing_if = "Option::is_none")]
cost_source: Option<CostSource>,
tool_call_count: usize,
#[serde(default, skip_serializing_if = "Option::is_none")]
context_window: Option<StageContextWindowProjection>,
@ -880,12 +886,16 @@ mod tests {
speed: None,
},
usage: usage.clone(),
cost_usd: Some(0.125),
cost_source: Some(CostSource::Authoritative),
tool_call_count: 2,
context_window: None,
};
match &event {
AgentEvent::AssistantMessage {
usage,
cost_usd,
cost_source,
tool_call_count,
..
} => {
@ -893,6 +903,8 @@ mod tests {
assert_eq!(usage.input_tokens, 100);
assert_eq!(usage.cache_read_tokens, 80);
assert_eq!(usage.reasoning_tokens, 20);
assert_eq!(*cost_usd, Some(0.125));
assert_eq!(*cost_source, Some(CostSource::Authoritative));
}
_ => panic!("expected AssistantMessage"),
}

View file

@ -528,6 +528,8 @@ mod tests {
speed: None,
},
usage: TokenCounts::default(),
cost_usd: None,
cost_source: None,
tool_call_count: 0,
context_window: None,
})

View file

@ -49,6 +49,12 @@ fn brew_command(context: &TestContext, formula: &str, version: &str) -> Command
}
}
cmd.env(EnvVars::NO_COLOR, "1");
// Unlike context.command(), this command inherits the developer's
// environment, and inherited FORCE_COLOR/CLICOLOR_FORCE override NO_COLOR
// in the CLI's color detection — breaking these snapshots.
cmd.env_remove(EnvVars::FORCE_COLOR);
cmd.env_remove(EnvVars::CLICOLOR_FORCE);
cmd.env_remove(EnvVars::CLICOLOR);
cmd.env(EnvVars::HOME, &context.home_dir);
cmd.env(EnvVars::FABRO_NO_UPGRADE_CHECK, "true")
.env(EnvVars::FABRO_HTTP_PROXY_POLICY, "disabled")

View file

@ -47,17 +47,34 @@ fn saturating_rounded_f64_to_i64(value: f64) -> i64 {
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Default, Serialize, Deserialize)]
pub struct UsdMicros(pub i64);
impl UsdMicros {
#[must_use]
pub fn from_usd(usd: f64) -> Self {
Self(saturating_rounded_f64_to_i64(
(usd * USD_MICROS_PER_USD_F64).round(),
))
}
/// Folds a cost into a running total that stays `None` until a cost is
/// observed (`None` means "no provider data", not $0).
pub fn accumulate(total: &mut Option<Self>, cost: Option<Self>) {
if let Some(cost) = cost {
*total.get_or_insert_default() += cost;
}
}
}
impl std::ops::Add for UsdMicros {
type Output = Self;
fn add(self, rhs: Self) -> Self::Output {
Self(self.0 + rhs.0)
Self(self.0.saturating_add(rhs.0))
}
}
impl std::ops::AddAssign for UsdMicros {
fn add_assign(&mut self, rhs: Self) {
self.0 += rhs.0;
*self = *self + rhs;
}
}
@ -67,6 +84,12 @@ impl std::iter::Sum for UsdMicros {
}
}
fn accumulate_optional_usd_micros(total: &mut Option<i64>, cost: Option<i64>) {
let mut typed_total = (*total).map(UsdMicros);
UsdMicros::accumulate(&mut typed_total, cost.map(UsdMicros));
*total = typed_total.map(|value| value.0);
}
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
pub struct PricePerMTok {
pub usd_micros: i64,
@ -76,7 +99,7 @@ impl PricePerMTok {
#[must_use]
pub fn from_usd(usd: f64) -> Self {
Self {
usd_micros: saturating_rounded_f64_to_i64((usd * USD_MICROS_PER_USD_F64).round()),
usd_micros: UsdMicros::from_usd(usd).0,
}
}
@ -328,6 +351,16 @@ impl BilledModelUsage {
pub fn tokens(&self) -> &TokenCounts {
&self.input.usage.tokens
}
/// Overrides the billed total with a provider-reported cost; `None` leaves
/// the catalog estimate in place.
#[must_use]
pub fn with_reported_cost(mut self, cost: Option<UsdMicros>) -> Self {
if let Some(cost) = cost {
self.total_usd_micros = Some(cost.0);
}
self
}
}
#[derive(Debug, Clone, PartialEq, Eq, Default, Serialize, Deserialize)]
@ -349,25 +382,21 @@ impl BilledTokenCounts {
#[must_use]
pub fn from_billed_usage(billed: &[BilledModelUsage]) -> Self {
let mut tokens = TokenCounts::default();
let mut total_usd_micros = 0_i64;
let mut has_total = false;
let mut total_usd_micros = None;
for entry in billed {
tokens += entry.input.usage.tokens.clone();
if let Some(value) = entry.total_usd_micros {
total_usd_micros += value;
has_total = true;
}
accumulate_optional_usd_micros(&mut total_usd_micros, entry.total_usd_micros);
}
Self {
input_tokens: tokens.input_tokens,
output_tokens: tokens.output_tokens,
total_tokens: tokens.total_tokens(),
reasoning_tokens: tokens.reasoning_tokens,
cache_read_tokens: tokens.cache_read_tokens,
input_tokens: tokens.input_tokens,
output_tokens: tokens.output_tokens,
total_tokens: tokens.total_tokens(),
reasoning_tokens: tokens.reasoning_tokens,
cache_read_tokens: tokens.cache_read_tokens,
cache_write_tokens: tokens.cache_write_tokens,
total_usd_micros: has_total.then_some(total_usd_micros),
total_usd_micros,
}
}
@ -391,9 +420,7 @@ impl BilledTokenCounts {
self.reasoning_tokens += source.reasoning_tokens;
self.cache_read_tokens += source.cache_read_tokens;
self.cache_write_tokens += source.cache_write_tokens;
if let Some(value) = source.total_usd_micros {
*self.total_usd_micros.get_or_insert(0) += value;
}
accumulate_optional_usd_micros(&mut self.total_usd_micros, source.total_usd_micros);
}
pub fn add_billed_usage(&mut self, usage: &BilledModelUsage) {
@ -404,15 +431,23 @@ impl BilledTokenCounts {
self.cache_read_tokens += tokens.cache_read_tokens;
self.cache_write_tokens += tokens.cache_write_tokens;
self.total_tokens += tokens.total_tokens();
if let Some(value) = usage.total_usd_micros {
*self.total_usd_micros.get_or_insert(0) += value;
}
accumulate_optional_usd_micros(&mut self.total_usd_micros, usage.total_usd_micros);
}
pub fn replace_with_billed_usage(&mut self, usage: &BilledModelUsage) {
*self = Self::from_billed_usage(std::slice::from_ref(usage));
}
/// Overrides the billed total with a provider-reported cost; `None` leaves
/// any existing estimate in place.
#[must_use]
pub fn with_reported_cost(mut self, cost: Option<UsdMicros>) -> Self {
if let Some(cost) = cost {
self.total_usd_micros = Some(cost.0);
}
self
}
#[must_use]
pub fn is_zero(&self) -> bool {
self.input_tokens == 0
@ -726,6 +761,45 @@ mod tests {
}
}
#[test]
fn usd_micros_accumulate_keeps_none_until_a_cost_is_observed() {
let mut total = None;
UsdMicros::accumulate(&mut total, None);
assert_eq!(total, None);
UsdMicros::accumulate(&mut total, Some(UsdMicros(40_000)));
UsdMicros::accumulate(&mut total, None);
UsdMicros::accumulate(&mut total, Some(UsdMicros(60_000)));
assert_eq!(total, Some(UsdMicros(100_000)));
}
#[test]
fn usd_micros_arithmetic_saturates_at_i64_bounds() {
assert_eq!(UsdMicros(i64::MAX) + UsdMicros(1), UsdMicros(i64::MAX));
let mut minimum = UsdMicros(i64::MIN);
minimum += UsdMicros(-1);
assert_eq!(minimum, UsdMicros(i64::MIN));
assert_eq!(
[UsdMicros(i64::MAX), UsdMicros(1)]
.into_iter()
.sum::<UsdMicros>(),
UsdMicros(i64::MAX)
);
}
#[test]
fn usd_micros_accumulate_saturates_at_i64_bounds() {
let mut maximum = Some(UsdMicros(i64::MAX));
UsdMicros::accumulate(&mut maximum, Some(UsdMicros(1)));
assert_eq!(maximum, Some(UsdMicros(i64::MAX)));
let mut minimum = Some(UsdMicros(i64::MIN));
UsdMicros::accumulate(&mut minimum, Some(UsdMicros(-1)));
assert_eq!(minimum, Some(UsdMicros(i64::MIN)));
}
#[test]
fn model_billing_policy_override_changes_the_billing_algorithm() {
let catalog = catalog_from_toml(
@ -859,6 +933,31 @@ cache_input_cost_per_mtok = 0.3
assert_eq!(counts.total_usd_micros, Some(150));
}
#[test]
fn billed_token_counts_cost_rollups_saturate() {
let billed = [
billed_usage(0, 0, Some(i64::MAX)),
billed_usage(0, 0, Some(1)),
];
assert_eq!(
BilledTokenCounts::from_billed_usage(&billed).total_usd_micros,
Some(i64::MAX)
);
let mut counts = BilledTokenCounts {
total_usd_micros: Some(i64::MAX),
..BilledTokenCounts::default()
};
counts.add_counts(&BilledTokenCounts {
total_usd_micros: Some(1),
..BilledTokenCounts::default()
});
assert_eq!(counts.total_usd_micros, Some(i64::MAX));
counts.add_billed_usage(&billed_usage(0, 0, Some(1)));
assert_eq!(counts.total_usd_micros, Some(i64::MAX));
}
#[test]
fn billed_token_counts_replace_with_billed_usage_discards_previous_values() {
let mut counts = BilledTokenCounts {

View file

@ -1485,6 +1485,7 @@ mod runs {
speed: None,
},
billing: BilledTokenCounts::default(),
cost_source: None,
tool_call_count: 0,
visit: 1,
message: None,
@ -1554,6 +1555,7 @@ mod runs {
speed: None,
},
billing: BilledTokenCounts::default(),
cost_source: None,
tool_call_count: 0,
visit: 1,
message: None,

View file

@ -887,6 +887,7 @@ mod tests {
speed: None,
},
billing: BilledTokenCounts::default(),
cost_source: None,
tool_call_count: 0,
visit: 1,
message: None,
@ -919,6 +920,7 @@ mod tests {
speed: None,
},
billing: BilledTokenCounts::default(),
cost_source: None,
tool_call_count: 0,
visit: 1,
message: None,

View file

@ -718,16 +718,7 @@ async fn get_aggregate_billing(
agg.by_model
.values()
.fold(BilledTokenCounts::default(), |mut acc, totals| {
let billing = &totals.billing;
acc.input_tokens += billing.input_tokens;
acc.output_tokens += billing.output_tokens;
acc.reasoning_tokens += billing.reasoning_tokens;
acc.cache_read_tokens += billing.cache_read_tokens;
acc.cache_write_tokens += billing.cache_write_tokens;
acc.total_tokens += billing.total_tokens;
if let Some(value) = billing.total_usd_micros {
*acc.total_usd_micros.get_or_insert(0) += value;
}
acc.add_counts(&totals.billing);
acc
});
let response = AggregateBilling {

View file

@ -4148,6 +4148,8 @@ fn context_window_event(
speed: None,
},
usage: TokenCounts::default(),
cost_usd: None,
cost_source: None,
tool_call_count: 0,
context_window: Some(context_window),
},
@ -13771,6 +13773,48 @@ async fn get_aggregate_billing_returns_provider_model_speed_identity() {
assert_eq!(fast["billing"]["input_tokens"], 20);
}
#[tokio::test]
async fn get_aggregate_billing_saturates_total_cost_across_models() {
let state = test_app_state();
{
let mut agg = state
.aggregate_billing
.lock()
.expect("aggregate billing lock");
for (model_id, total_usd_micros) in [("maximum", i64::MAX), ("one", 1)] {
agg.by_model.insert(
ModelRef {
provider: ProviderId::openai(),
model_id: model_id.to_string(),
speed: None,
},
ModelBillingTotals {
stages: 1,
billing: BilledTokenCounts {
total_usd_micros: Some(total_usd_micros),
..BilledTokenCounts::default()
},
},
);
}
}
let app = crate::test_support::build_test_router(Arc::clone(&state));
let response = app
.oneshot(
Request::builder()
.method("GET")
.uri(api("/billing"))
.body(Body::empty())
.unwrap(),
)
.await
.unwrap();
let body = response_json!(response, StatusCode::OK).await;
assert_eq!(body["totals"]["total_usd_micros"].as_i64(), Some(i64::MAX));
}
#[test]
fn aggregate_billing_counts_projection_rollup_usage_visits() {
let mut accumulator = BillingAccumulator::default();

View file

@ -114,6 +114,7 @@ impl EnvVars {
pub const CI: &'static str = "CI";
pub const CLICOLOR: &'static str = "CLICOLOR";
pub const CLICOLOR_FORCE: &'static str = "CLICOLOR_FORCE";
pub const FORCE_COLOR: &'static str = "FORCE_COLOR";
pub const HOME: &'static str = "HOME";
pub const KUBERNETES_SERVICE_HOST: &'static str = "KUBERNETES_SERVICE_HOST";
pub const LANG: &'static str = "LANG";
@ -251,6 +252,7 @@ mod tests {
EnvVars::CI,
EnvVars::CLICOLOR,
EnvVars::CLICOLOR_FORCE,
EnvVars::FORCE_COLOR,
EnvVars::HOME,
EnvVars::KUBERNETES_SERVICE_HOST,
EnvVars::LANG,

View file

@ -513,6 +513,38 @@ impl RunProjectionReducer for RunProjection {
};
stage.parallel_results = Some(parallel_results);
}
EventBody::ParallelBranchStarted(_) => {
// Branches bypass the engine's StageStarted/StageCompleted
// lifecycle. Seed started_at so the branch stage drives a live
// wall-clock timer while it runs (the entry is created Running).
let Some(stage) = stage_at_stored_or_current_visit(self, stored, event.seq) else {
return Ok(());
};
if stage.started_at.is_none() {
stage.started_at = Some(ts);
}
stage.state = StageState::Running;
}
EventBody::ParallelBranchCompleted(props) => {
// A branch never emits its own StageCompleted, so finalize it
// here; otherwise the stage spins Running forever after the run
// (and the fan-in) is done.
let outcome =
StageOutcome::from_str(&props.status).unwrap_or(StageOutcome::Failed {
retry_requested: false,
});
let Some(stage) = stage_at_stored_or_current_visit(self, stored, event.seq) else {
return Ok(());
};
stage.completion = Some(StageCompletion {
outcome,
notes: None,
failure_reason: None,
timestamp: ts,
});
stage.timing = Some(fabro_types::StageTiming::wall_only(props.duration_ms));
stage.state = StageState::from(outcome);
}
EventBody::TodoCreated(props) => {
let Some(stage) = stage_at_stored_or_current_visit(self, stored, event.seq) else {
return Ok(());
@ -1260,8 +1292,9 @@ mod tests {
AgentSubFailedProps, AgentSubSpawnedProps, AgentToolCategory, AgentToolSource,
AgentToolStartedProps, AgentToolSummary, AgentToolsAvailableProps,
CheckpointCompletedProps, InterviewCompletedProps, InterviewOption, InterviewStartedProps,
RunCompletedProps, RunControlEffectProps, StageCompletedProps, StageFailedProps,
StagePromptProps, StageRetryingProps, StageStartedProps,
ParallelBranchCompletedProps, ParallelBranchStartedProps, RunCompletedProps,
RunControlEffectProps, StageCompletedProps, StageFailedProps, StagePromptProps,
StageRetryingProps, StageStartedProps,
};
use fabro_types::settings::run::{DockerfileSource, EnvironmentProvider};
use fabro_types::{
@ -1993,6 +2026,86 @@ mod tests {
assert_eq!(stage.prompt.as_deref(), Some("prompt"));
}
#[test]
fn parallel_branch_completed_finalizes_branch_stage() {
// A parallel branch never runs through the engine's StageStarted/
// StageCompleted lifecycle: its stage entry is created Running by the
// first branch-scoped event, and only ParallelBranchCompleted marks it
// terminal. Guards against branches spinning Running forever.
let mut state = initialized_projection();
let branch = StageId::new("review_ux", 1);
let branch_started_at = test_dt("2026-04-07T12:00:00Z");
state
.apply_event(&test_stage_event_at(
3,
"2026-04-07T12:00:00Z",
EventBody::ParallelBranchStarted(ParallelBranchStartedProps { index: 0 }),
branch.clone(),
))
.unwrap();
let stage = state.stage(&branch).unwrap();
assert_eq!(stage.state, StageState::Running);
assert_eq!(stage.started_at, Some(branch_started_at));
state
.apply_event(&test_stage_event(
4,
EventBody::ParallelBranchCompleted(ParallelBranchCompletedProps {
index: 0,
duration_ms: 1234,
status: "succeeded".to_string(),
head_sha: None,
}),
branch.clone(),
))
.unwrap();
let stage = state.stage(&branch).unwrap();
assert_eq!(stage.state, StageState::Succeeded);
assert_eq!(stage.timing.unwrap().wall_time_ms, 1234);
assert_eq!(
stage.completion.as_ref().unwrap().outcome,
StageOutcome::Succeeded
);
}
#[test]
fn parallel_branch_completed_folds_failed_status_as_failed() {
let mut state = initialized_projection();
let branch = StageId::new("review_ux", 1);
state
.apply_event(&test_stage_event(
3,
EventBody::ParallelBranchStarted(ParallelBranchStartedProps { index: 0 }),
branch.clone(),
))
.unwrap();
state
.apply_event(&test_stage_event(
4,
EventBody::ParallelBranchCompleted(ParallelBranchCompletedProps {
index: 0,
duration_ms: 500,
status: "failed".to_string(),
head_sha: None,
}),
branch.clone(),
))
.unwrap();
let stage = state.stage(&branch).unwrap();
assert_eq!(stage.state, StageState::Failed);
assert_eq!(stage.timing.unwrap().wall_time_ms, 500);
assert_eq!(
stage.completion.as_ref().unwrap().outcome,
StageOutcome::Failed {
retry_requested: false,
}
);
}
fn start_stage(state: &mut RunProjection, stage_id: &StageId) {
state
.apply_event(&test_stage_event(
@ -3788,6 +3901,7 @@ mod tests {
text: "assistant text".to_string(),
model: billed_usage().model().clone(),
billing,
cost_source: None,
tool_call_count: 0,
visit: 1,
message: None,

View file

@ -1,4 +1,4 @@
use fabro_model::{ReasoningEffort, Speed};
use fabro_model::{CostSource, ReasoningEffort, Speed};
use serde::{Deserialize, Serialize};
use serde_json::Value;
use strum::{Display, EnumString, IntoStaticStr};
@ -121,6 +121,9 @@ pub struct AgentMessageProps {
pub text: String,
pub model: ModelRef,
pub billing: BilledTokenCounts,
/// Provenance of the optional total in `billing`.
#[serde(default, skip_serializing_if = "Option::is_none")]
pub cost_source: Option<CostSource>,
pub tool_call_count: usize,
pub visit: u32,
/// Canonical replay-authoritative transcript message. Present on events
@ -403,6 +406,7 @@ mod tests {
});
let props: AgentMessageProps = serde_json::from_value(v).unwrap();
assert_eq!(props.text, "hello");
assert!(props.cost_source.is_none());
assert!(props.message.is_none());
assert!(props.context_window.is_none());
}
@ -416,6 +420,7 @@ mod tests {
text: "ok".to_string(),
model: sample_model_ref(),
billing: BilledTokenCounts::default(),
cost_source: None,
tool_call_count: 0,
visit: 1,
message: Some(msg.clone()),

View file

@ -2139,6 +2139,7 @@ mod tests {
speed: None,
},
billing: BilledTokenCounts::default(),
cost_source: None,
tool_call_count: 0,
visit: 1,
message: None,
@ -2191,6 +2192,7 @@ mod tests {
speed: None,
},
billing: BilledTokenCounts::default(),
cost_source: None,
tool_call_count: 0,
visit: 1,
message: None,

View file

@ -0,0 +1,239 @@
use fabro_graphviz::graph::{self, Graph};
use crate::{Diagnostic, LintRule, Severity};
pub(super) fn rule() -> Box<dyn LintRule> {
Box::new(Rule)
}
/// Attributes that only specific handler types read, paired with the handler
/// types that consume them. On every other node type the attribute is inert:
/// accepted by the parser and read by nothing at runtime.
///
/// Attributes read by several handlers (`timeout`), resolved for every node
/// (`fidelity`, `retry_policy`, `max_visits`, `goal_gate`), or injectable via
/// model stylesheets (`model`, `provider`, `reasoning_effort`, `speed`,
/// `backend`) are deliberately not listed.
const HANDLER_SPECIFIC_ATTRS: &[(&str, &[&str])] = &[
("script", &["command"]),
("language", &["command"]),
("duration", &["wait"]),
("join_policy", &["parallel"]),
("max_parallel", &["parallel"]),
("output_schema", &["agent", "prompt"]),
("prompt", &["agent", "prompt", "parallel.fan_in"]),
];
struct Rule;
impl LintRule for Rule {
fn name(&self) -> &'static str {
"inert_attribute"
}
fn apply(&self, graph: &Graph) -> Vec<Diagnostic> {
let mut diagnostics = Vec::new();
for node in graph.nodes.values() {
// An unknown shape or type is covered by the type_known rule; a
// node this rule cannot classify is skipped rather than guessed at.
let Some(handler) = node.handler_type() else {
continue;
};
if !graph::is_known_handler_type(handler) {
continue;
}
for (attr, consumers) in HANDLER_SPECIFIC_ATTRS {
if !node.attrs.contains_key(*attr) {
continue;
}
if consumers.contains(&handler) {
continue;
}
diagnostics.push(Diagnostic {
rule: self.name().to_string(),
severity: Severity::Warning,
message: format!(
"Node '{}' (type '{handler}') sets '{attr}', which is only read by {} nodes and has no effect here",
node.id,
consumers.join(", "),
),
node_id: Some(node.id.clone()),
edge: None,
fix: Some(format!(
"Remove '{attr}' or change the node to a type that reads it ({})",
consumers.join(", "),
)),
..Diagnostic::default()
});
}
}
diagnostics
}
}
#[cfg(test)]
mod tests {
use fabro_graphviz::graph::{AttrValue, Node};
use super::Rule;
use crate::rules::test_support::minimal_graph;
use crate::{LintRule, Severity};
fn node_with_attr(id: &str, shape: &str, attr: &str, value: &str) -> Node {
let mut node = Node::new(id);
node.attrs
.insert("shape".to_string(), AttrValue::String(shape.to_string()));
node.attrs
.insert(attr.to_string(), AttrValue::String(value.to_string()));
node
}
#[test]
fn warns_on_script_on_agent_node() {
let mut g = minimal_graph();
g.nodes.insert(
"work".to_string(),
node_with_attr("work", "box", "script", "echo hi"),
);
let d = Rule.apply(&g);
assert_eq!(d.len(), 1);
assert_eq!(d[0].severity, Severity::Warning);
assert!(d[0].message.contains("'script'"));
assert!(d[0].message.contains("command"));
assert_eq!(d[0].node_id.as_deref(), Some("work"));
}
#[test]
fn warns_on_prompt_on_start_and_command_nodes() {
let mut g = minimal_graph();
g.nodes
.get_mut("start")
.expect("minimal graph has start")
.attrs
.insert(
"prompt".to_string(),
AttrValue::String("do things".to_string()),
);
g.nodes.insert(
"run".to_string(),
node_with_attr("run", "parallelogram", "prompt", "do things"),
);
let d = Rule.apply(&g);
assert_eq!(d.len(), 2);
assert!(d.iter().all(|d| d.message.contains("'prompt'")));
}
#[test]
fn warns_on_duration_on_command_node() {
let mut g = minimal_graph();
g.nodes.insert(
"run".to_string(),
node_with_attr("run", "parallelogram", "duration", "30s"),
);
let d = Rule.apply(&g);
assert_eq!(d.len(), 1);
assert!(d[0].message.contains("'duration'"));
assert!(d[0].message.contains("wait"));
}
#[test]
fn warns_on_parallel_attrs_on_agent_node() {
let mut g = minimal_graph();
let mut node = Node::new("work");
node.attrs.insert(
"join_policy".to_string(),
AttrValue::String("wait_all".to_string()),
);
node.attrs
.insert("max_parallel".to_string(), AttrValue::Integer(4));
g.nodes.insert("work".to_string(), node);
let d = Rule.apply(&g);
assert_eq!(d.len(), 2);
}
#[test]
fn warns_on_output_schema_on_command_node() {
let mut g = minimal_graph();
g.nodes.insert(
"run".to_string(),
node_with_attr("run", "parallelogram", "output_schema", "routing"),
);
let d = Rule.apply(&g);
assert_eq!(d.len(), 1);
assert!(d[0].message.contains("'output_schema'"));
}
#[test]
fn accepts_attrs_on_their_own_handler_types() {
let mut g = minimal_graph();
g.nodes.insert(
"run".to_string(),
node_with_attr("run", "parallelogram", "script", "echo hi"),
);
g.nodes.insert(
"pause".to_string(),
node_with_attr("pause", "insulator", "duration", "30s"),
);
g.nodes.insert(
"work".to_string(),
node_with_attr("work", "box", "prompt", "do things"),
);
g.nodes.insert(
"fork".to_string(),
node_with_attr("fork", "component", "join_policy", "wait_all"),
);
g.nodes.insert(
"spec".to_string(),
node_with_attr("spec", "tab", "output_schema", "routing"),
);
assert!(Rule.apply(&g).is_empty());
}
#[test]
fn accepts_prompt_on_shapeless_node_defaulting_to_agent() {
let mut g = minimal_graph();
let mut node = Node::new("work");
node.attrs.insert(
"prompt".to_string(),
AttrValue::String("do things".to_string()),
);
g.nodes.insert("work".to_string(), node);
assert!(Rule.apply(&g).is_empty());
}
#[test]
fn accepts_prompt_on_fan_in_judge() {
let mut g = minimal_graph();
g.nodes.insert(
"merge".to_string(),
node_with_attr("merge", "tripleoctagon", "prompt", "pick the best"),
);
assert!(Rule.apply(&g).is_empty());
}
#[test]
fn ignores_unclassifiable_node_shapes() {
let mut g = minimal_graph();
g.nodes.insert(
"odd".to_string(),
node_with_attr("odd", "doubleoctagon", "script", "echo hi"),
);
assert!(Rule.apply(&g).is_empty());
}
#[test]
fn ignores_handler_specific_attrs_on_unrecognized_explicit_types() {
let mut g = minimal_graph();
let mut node = Node::new("custom");
node.attrs.insert(
"type".to_string(),
AttrValue::String("custom.handler".to_string()),
);
node.attrs.insert(
"script".to_string(),
AttrValue::String("echo hi".to_string()),
);
g.nodes.insert("custom".to_string(), node);
assert!(Rule.apply(&g).is_empty());
}
}

View file

@ -8,9 +8,11 @@ mod fidelity_valid;
mod freeform_edge_count;
mod goal_gate_has_retry;
mod import_error;
mod inert_attribute;
mod model_support;
mod node_model_known;
mod orphan_custom_outcome;
mod parallel_branch_inert_attribute;
mod prompt_on_llm_nodes;
mod random_selection_no_conditions;
mod reachability;
@ -60,6 +62,8 @@ pub fn built_in_rules() -> Vec<Box<dyn LintRule>> {
thread_id_requires_fidelity_full::rule(),
selection_valid::rule(),
random_selection_no_conditions::rule(),
inert_attribute::rule(),
parallel_branch_inert_attribute::rule(),
]
}

View file

@ -0,0 +1,289 @@
use std::collections::BTreeSet;
use fabro_graphviz::graph::Graph;
use crate::{Diagnostic, LintRule, Severity};
pub(super) fn rule() -> Box<dyn LintRule> {
Box::new(Rule)
}
/// Attributes that parallel branch execution does not resolve. Branch nodes
/// are dispatched with a snapshot of the context taken when the parallel node
/// started, so per-branch `fidelity` never changes what a branch sees, and
/// per-branch `thread_id` never replaces the thread inherited in that snapshot.
const BRANCH_IGNORED_ATTRS: &[&str] = &["fidelity", "thread_id"];
struct Rule;
/// Renders one or more parallel-node ids as `'a'` or `'a', 'b'`.
fn quoted_list(ids: &[String]) -> String {
ids.iter()
.map(|id| format!("'{id}'"))
.collect::<Vec<_>>()
.join(", ")
}
fn fix_message(attr: &str, parallel_ids: &[String]) -> String {
match attr {
"fidelity" => {
if parallel_ids.len() == 1 {
format!(
"Set fidelity on the parallel node {} (or its incoming edge) to control what every branch sees",
quoted_list(parallel_ids),
)
} else {
format!(
"Set fidelity on the parallel nodes {} (or their incoming edges) to control what every branch sees",
quoted_list(parallel_ids),
)
}
}
"thread_id" => format!(
"Remove '{attr}': parallel branches inherit the thread resolved when the parallel node started"
),
_ => format!("Remove '{attr}'"),
}
}
impl LintRule for Rule {
fn name(&self) -> &'static str {
"parallel_branch_inert_attribute"
}
fn apply(&self, graph: &Graph) -> Vec<Diagnostic> {
let parallel_ids: BTreeSet<&str> = graph
.nodes
.values()
.filter(|n| n.handler_type() == Some("parallel"))
.map(|n| n.id.as_str())
.collect();
if parallel_ids.is_empty() {
return Vec::new();
}
let mut diagnostics = Vec::new();
// Branch edges (parallel node -> branch target) carrying an attribute
// that branch dispatch never reads.
for edge in &graph.edges {
if !parallel_ids.contains(edge.from.as_str()) {
continue;
}
for attr in BRANCH_IGNORED_ATTRS {
if !edge.attrs.contains_key(*attr) {
continue;
}
diagnostics.push(Diagnostic {
rule: self.name().to_string(),
severity: Severity::Warning,
message: format!(
"Edge {} -> {} sets '{attr}', which is ignored on parallel branch edges: branches receive the context snapshot taken when '{}' started",
edge.from, edge.to, edge.from,
),
node_id: None,
edge: Some((edge.from.clone(), edge.to.clone())),
fix: Some(fix_message(attr, std::slice::from_ref(&edge.from))),
..Diagnostic::default()
});
}
}
// Branch target nodes carrying such an attribute — but only when every
// incoming edge comes from a parallel node. A node that is also
// reachable through a normal edge resolves the attribute on that path,
// so it is not inert there.
let branch_targets: BTreeSet<&str> = graph
.edges
.iter()
.filter(|e| parallel_ids.contains(e.from.as_str()))
.map(|e| e.to.as_str())
.collect();
for target in branch_targets {
let only_branch_entries = graph
.edges
.iter()
.filter(|e| e.to == target)
.all(|e| parallel_ids.contains(e.from.as_str()));
if !only_branch_entries {
continue;
}
let Some(node) = graph.nodes.get(target) else {
continue;
};
let parents: Vec<String> = graph
.edges
.iter()
.filter(|e| e.to == target && parallel_ids.contains(e.from.as_str()))
.map(|e| e.from.clone())
.collect::<BTreeSet<_>>()
.into_iter()
.collect();
for attr in BRANCH_IGNORED_ATTRS {
if !node.attrs.contains_key(*attr) {
continue;
}
diagnostics.push(Diagnostic {
rule: self.name().to_string(),
severity: Severity::Warning,
message: format!(
"Node '{}' sets '{attr}', but it only runs as a parallel branch (of {}), where '{attr}' is ignored: branches receive the context snapshot taken when the parallel node started",
node.id,
quoted_list(&parents),
),
node_id: Some(node.id.clone()),
edge: None,
fix: Some(fix_message(attr, &parents)),
..Diagnostic::default()
});
}
}
diagnostics
}
}
#[cfg(test)]
mod tests {
use fabro_graphviz::graph::{AttrValue, Edge, Graph, Node};
use super::Rule;
use crate::rules::test_support::minimal_graph;
use crate::{LintRule, Severity};
fn shaped_node(id: &str, shape: &str) -> Node {
let mut node = Node::new(id);
node.attrs
.insert("shape".to_string(), AttrValue::String(shape.to_string()));
node
}
/// start -> fork -> {branch_a, branch_b} -> merge -> exit
fn parallel_graph() -> Graph {
let mut g = minimal_graph();
g.nodes
.insert("fork".to_string(), shaped_node("fork", "component"));
g.nodes
.insert("branch_a".to_string(), shaped_node("branch_a", "tab"));
g.nodes
.insert("branch_b".to_string(), shaped_node("branch_b", "tab"));
g.nodes
.insert("merge".to_string(), shaped_node("merge", "tripleoctagon"));
g.edges = vec![
Edge::new("start", "fork"),
Edge::new("fork", "branch_a"),
Edge::new("fork", "branch_b"),
Edge::new("branch_a", "merge"),
Edge::new("branch_b", "merge"),
Edge::new("merge", "exit"),
];
g
}
#[test]
fn warns_on_fidelity_on_branch_node() {
let mut g = parallel_graph();
g.nodes
.get_mut("branch_a")
.expect("graph has branch_a")
.attrs
.insert(
"fidelity".to_string(),
AttrValue::String("truncate".to_string()),
);
let d = Rule.apply(&g);
assert_eq!(d.len(), 1);
assert_eq!(d[0].severity, Severity::Warning);
assert_eq!(d[0].node_id.as_deref(), Some("branch_a"));
assert!(d[0].message.contains("'fidelity'"));
assert!(d[0].fix.as_deref().is_some_and(|f| f.contains("'fork'")));
}
#[test]
fn warns_on_thread_id_on_branch_edge() {
let mut g = parallel_graph();
g.edges[1].attrs.insert(
"thread_id".to_string(),
AttrValue::String("impl".to_string()),
);
let d = Rule.apply(&g);
assert_eq!(d.len(), 1);
assert_eq!(
d[0].edge,
Some(("fork".to_string(), "branch_a".to_string()))
);
assert!(d[0].message.contains("'thread_id'"));
assert_eq!(
d[0].fix.as_deref(),
Some(
"Remove 'thread_id': parallel branches inherit the thread resolved when the parallel node started"
)
);
}
#[test]
fn accepts_fidelity_on_the_parallel_node_itself() {
let mut g = parallel_graph();
g.nodes
.get_mut("fork")
.expect("graph has fork")
.attrs
.insert(
"fidelity".to_string(),
AttrValue::String("truncate".to_string()),
);
assert!(Rule.apply(&g).is_empty());
}
#[test]
fn accepts_fidelity_on_branch_node_also_reached_by_normal_edge() {
let mut g = parallel_graph();
// branch_a is also a normal successor of merge, so fidelity resolves
// on that path and is not inert.
g.edges.push(Edge::new("merge", "branch_a"));
g.nodes
.get_mut("branch_a")
.expect("graph has branch_a")
.attrs
.insert(
"fidelity".to_string(),
AttrValue::String("truncate".to_string()),
);
assert!(Rule.apply(&g).is_empty());
}
#[test]
fn names_every_parallel_parent_of_a_shared_branch_node() {
let mut g = parallel_graph();
g.nodes
.insert("fork2".to_string(), shaped_node("fork2", "component"));
g.edges.push(Edge::new("start", "fork2"));
g.edges.push(Edge::new("fork2", "branch_a"));
g.nodes
.get_mut("branch_a")
.expect("graph has branch_a")
.attrs
.insert(
"fidelity".to_string(),
AttrValue::String("truncate".to_string()),
);
let d = Rule.apply(&g);
assert_eq!(d.len(), 1);
assert!(d[0].message.contains("'fork', 'fork2'"));
let fix = d[0].fix.as_deref().expect("diagnostic has a fix");
assert!(fix.contains("'fork', 'fork2'"));
assert!(fix.contains("parallel nodes"));
}
#[test]
fn accepts_graph_without_parallel_nodes() {
let mut g = minimal_graph();
let mut node = shaped_node("work", "tab");
node.attrs.insert(
"fidelity".to_string(),
AttrValue::String("truncate".to_string()),
);
g.nodes.insert("work".to_string(), node);
assert!(Rule.apply(&g).is_empty());
}
}

View file

@ -3,6 +3,7 @@ use ::fabro_types::{
};
use chrono::Utc;
use fabro_agent::{AgentEvent, SandboxEvent, SkillActivationSource};
use fabro_model::UsdMicros;
use uuid::Uuid;
use super::Event;
@ -611,14 +612,18 @@ fn event_body_from_event(event: &Event) -> EventBody {
text,
model,
usage,
cost_usd,
cost_source,
tool_call_count,
context_window,
} => {
let billing = billed_token_counts_from_llm(usage);
let billing = billed_token_counts_from_llm(usage)
.with_reported_cost(cost_usd.map(UsdMicros::from_usd));
EventBody::AgentMessage(fabro_types::AgentMessageProps {
text: text.clone(),
model: model.clone(),
billing,
cost_source: *cost_source,
tool_call_count: *tool_call_count,
visit: *visit,
message: None,
@ -2116,6 +2121,8 @@ mod tests {
speed: None,
},
usage: LlmTokenCounts::default(),
cost_usd: None,
cost_source: None,
tool_call_count: 0,
context_window: None,
},
@ -2148,6 +2155,8 @@ mod tests {
output_tokens: 34,
..LlmTokenCounts::default()
},
cost_usd: None,
cost_source: None,
tool_call_count: 0,
context_window: None,
},
@ -2166,6 +2175,43 @@ mod tests {
assert_eq!(message.billing.total_usd_micros, None);
}
#[test]
fn agent_assistant_message_preserves_provider_cost() {
let stored = to_run_event(&fixtures::RUN_1, &Event::Agent {
stage: "code".to_string(),
visit: 1,
event: AgentEvent::AssistantMessage {
text: "ok".to_string(),
model: ModelRef {
provider: ProviderId::new("openrouter"),
model_id: "openai/gpt-5.4".to_string(),
speed: None,
},
usage: LlmTokenCounts {
input_tokens: 12,
output_tokens: 34,
..LlmTokenCounts::default()
},
cost_usd: Some(0.125),
cost_source: Some(fabro_model::CostSource::Authoritative),
tool_call_count: 0,
context_window: None,
},
session_id: Some("ses_agent".to_string()),
parent_session_id: None,
tool_call_id: None,
});
let EventBody::AgentMessage(message) = stored.body else {
panic!("expected agent message body");
};
assert_eq!(message.billing.total_usd_micros, Some(125_000));
assert_eq!(
message.cost_source,
Some(fabro_model::CostSource::Authoritative)
);
}
#[test]
fn agent_assistant_message_copies_context_window_to_props() {
let context_window = ::fabro_types::StageContextWindowProjection {
@ -2196,6 +2242,8 @@ mod tests {
speed: None,
},
usage: LlmTokenCounts::default(),
cost_usd: None,
cost_source: None,
tool_call_count: 0,
context_window: Some(context_window),
},

View file

@ -20,7 +20,7 @@ use fabro_llm::types::{
use fabro_mcp::config::McpServerSettings;
#[cfg(test)]
use fabro_model::catalog::LlmCatalogSettings;
use fabro_model::{AgentProfileKind, Catalog, FallbackTarget, ModelRef, ProviderId};
use fabro_model::{AgentProfileKind, Catalog, FallbackTarget, ModelRef, ProviderId, UsdMicros};
use fabro_types::settings::run::RunModelControls;
use fabro_types::{PermissionLevel, RunId, SessionCapability, StageId, StageTiming};
use serde::de::DeserializeOwned;
@ -1060,6 +1060,7 @@ impl CodergenBackend for AgentApiBackend {
.map(structured_output::prompt_response_format);
let mut repair_attempts = 0_i64;
let mut total_usage = TokenCounts::default();
let mut total_cost = None;
let mut inference_duration = Duration::ZERO;
loop {
@ -1095,6 +1096,10 @@ impl CodergenBackend for AgentApiBackend {
inference_duration = inference_duration.saturating_add(inference_start.elapsed());
let completion = completion_result?;
total_usage += completion.response.usage.clone();
UsdMicros::accumulate(
&mut total_cost,
completion.response.cost_usd.map(UsdMicros::from_usd),
);
let response_text = completion.response.text();
let validation_error = if let Some(schema) = &output_schema {
@ -1122,7 +1127,8 @@ impl CodergenBackend for AgentApiBackend {
self.catalog.as_ref(),
&completion.model,
&total_usage,
)?;
)?
.with_reported_cost(total_cost);
return Ok(CodergenResult::Text {
text: response_text,
@ -1216,6 +1222,7 @@ impl CodergenBackend for AgentApiBackend {
);
let mut total_usage = TokenCounts::default();
let mut total_cost = None;
let mut inference_duration = Duration::ZERO;
let mut tool_duration = Duration::ZERO;
@ -1278,6 +1285,7 @@ impl CodergenBackend for AgentApiBackend {
tool_duration = tool_duration.saturating_add(timing.tool);
if process_result.is_ok() {
total_usage += session.last_input_usage();
UsdMicros::accumulate(&mut total_cost, session.last_input_cost());
}
process_result
}
@ -1413,6 +1421,7 @@ impl CodergenBackend for AgentApiBackend {
match process_result {
Ok(()) => {
total_usage += session.last_input_usage();
UsdMicros::accumulate(&mut total_cost, session.last_input_cost());
succeeded = true;
break;
}
@ -1484,6 +1493,7 @@ impl CodergenBackend for AgentApiBackend {
match repair_result {
Ok(()) => {
total_usage += session.last_input_usage();
UsdMicros::accumulate(&mut total_cost, session.last_input_cost());
repair_attempts += 1;
response = last_assistant_response(&session);
}
@ -1519,7 +1529,8 @@ impl CodergenBackend for AgentApiBackend {
speed: billing_controls.speed,
},
&total_usage,
)?;
)?
.with_reported_cost(total_cost);
// Collect files_touched from the shared tracking state.
let (files_touched, last_file_touched) = file_tracking_snapshot(&file_tracking);
@ -2780,7 +2791,11 @@ reasoning = false
.body_excludes(r#""role":"assistant""#);
then.status(200)
.header("content-type", "application/json")
.json_body(chat_completion_response("not json", 10, 1));
.json_body({
let mut response = chat_completion_response("not json", 10, 1);
response["usage"]["cost"] = serde_json::json!(0.04);
response
});
});
let repair = server.mock(|when, then| {
when.method(POST)
@ -2791,7 +2806,11 @@ reasoning = false
.body_includes("output_schema");
then.status(200)
.header("content-type", "application/json")
.json_body(chat_completion_response(r#"{"passed":true}"#, 11, 2));
.json_body({
let mut response = chat_completion_response(r#"{"passed":true}"#, 11, 2);
response["usage"]["cost"] = serde_json::json!(0.06);
response
});
});
let backend = mock_api_backend(&server);
let mut node = Node::new("audit");
@ -2828,6 +2847,7 @@ reasoning = false
let usage = usage.expect("usage should be aggregated");
assert_eq!(usage.tokens().input_tokens, 21);
assert_eq!(usage.tokens().output_tokens, 3);
assert_eq!(usage.total_usd_micros, Some(100_000));
}
#[tokio::test]

View file

@ -149,7 +149,7 @@ fn token_counts_from_llm_usage(usage: &LlmTokenCounts) -> TokenCounts {
mod tests {
use fabro_llm::types::TokenCounts;
use fabro_model::catalog::LlmCatalogSettings;
use fabro_model::{Catalog, ModelRef, ProviderId, Speed};
use fabro_model::{Catalog, ModelRef, ProviderId, Speed, UsdMicros};
use super::{OutcomeExt, billed_model_usage_from_llm};
@ -182,6 +182,24 @@ mod tests {
assert_eq!(billed.tokens().reasoning_tokens, 25_000);
}
#[test]
fn response_cost_overrides_catalog_estimate() {
let usage = TokenCounts {
input_tokens: 11,
output_tokens: 7,
..TokenCounts::default()
};
let billed = billed_model_usage_from_llm(
Catalog::builtin(),
&model_ref(ProviderId::openai(), "gpt-5.4", None),
&usage,
)
.unwrap()
.with_reported_cost(Some(UsdMicros(125_000)));
assert_eq!(billed.total_usd_micros, Some(125_000));
}
#[test]
fn retry_classify_marks_failed_outcome_with_retry_request() {
let outcome = crate::outcome::Outcome::retry_classify("timeout");

View file

@ -2319,6 +2319,121 @@ reasoning = false
);
}
#[tokio::test]
async fn workflow_persists_authoritative_openrouter_cost_for_agent_stage() {
use fabro_auth::EnvCredentialSource;
use fabro_workflow::steering_hub::SteeringHub;
use httpmock::Method::POST;
use httpmock::MockServer;
const AUTHORITATIVE_COST_USD: f64 = 0.125;
const AUTHORITATIVE_COST_USD_MICROS: i64 = 125_000;
let server = MockServer::start_async().await;
let text_chunk = serde_json::json!({
"id": "chatcmpl_authoritative_cost",
"model": "openai/gpt-5.4",
"choices": [{
"delta": {"content": "done"},
"finish_reason": null
}]
});
let usage_chunk = serde_json::json!({
"id": "chatcmpl_authoritative_cost",
"model": "openai/gpt-5.4",
"choices": [],
"usage": {
"prompt_tokens": 11,
"completion_tokens": 7,
"total_tokens": 18,
"cost": AUTHORITATIVE_COST_USD
}
});
let response = format!("data: {text_chunk}\n\ndata: {usage_chunk}\n\ndata: [DONE]\n\n");
let completion_mock = server
.mock_async(|when, then| {
when.method(POST)
.path("/chat/completions")
.body_includes(r#""stream":true"#)
.body_includes("Report completion");
then.status(200)
.header("content-type", "text/event-stream")
.body(response);
})
.await;
let settings: LlmCatalogSettings = toml::from_str(&format!(
r#"
[providers.openrouter]
enabled = true
base_url = "{}"
"#,
server.base_url()
))
.expect("test catalog should parse");
let catalog = Arc::new(Catalog::from_builtin_with_overrides(&settings).unwrap());
let source = Arc::new(EnvCredentialSource::with_env_lookup(Arc::new(|name| {
(name == "OPENROUTER_API_KEY").then(|| "sk-test".to_string())
})));
let backend = AgentApiBackend::new_with_catalog(
"openai/gpt-5.4".to_string(),
ProviderId::from("openrouter"),
Vec::new(),
source,
Arc::new(SteeringHub::new(Arc::new(Emitter::default()))),
catalog,
);
let mut graph = make_graph_with_start_exit("AuthoritativeOpenRouterCost");
let mut work = Node::new("work");
work.attrs.insert(
"prompt".to_string(),
AttrValue::String("Report completion".to_string()),
);
graph.nodes.insert("work".to_string(), work);
graph.edges.push(Edge::new("start", "work"));
graph.edges.push(Edge::new("work", "exit"));
let mut registry = HandlerRegistry::new(Box::new(AgentHandler::new(Some(Box::new(backend)))));
registry.register("start", Box::new(StartHandler));
registry.register("exit", Box::new(ExitHandler));
let dir = tempfile::tempdir().unwrap();
let engine = WorkflowRunner::new(registry, Arc::new(Emitter::default()), local_env());
let run_options = RunOptions {
settings: WorkflowSettings::default(),
run_dir: dir.path().to_path_buf(),
cancel_token: CancellationToken::new(),
run_id: test_run_id("authoritative-openrouter-cost"),
labels: std::collections::HashMap::new(),
workflow_slug: None,
github_app: None,
base_branch: None,
display_base_sha: None,
pre_run_git: None,
fork_source_ref: None,
git: None,
};
let (outcome, state) = engine
.run_with_state(&graph, &run_options)
.await
.expect("workflow execution should complete");
assert_eq!(outcome.status, StageOutcome::Succeeded);
assert_eq!(completion_mock.calls_async().await, 1);
let work = state
.stage(&fabro_types::StageId::new("work", 1))
.expect("agent stage should be projected");
assert_eq!(work.usage.input_tokens, 11);
assert_eq!(work.usage.output_tokens, 7);
assert_eq!(
work.usage.total_usd_micros,
Some(AUTHORITATIVE_COST_USD_MICROS),
"provider-reported usage.cost should override the catalog estimate"
);
}
// ---------------------------------------------------------------------------
// 12. Parallel fan-out / fan-in integration test (Gap #14)
// ---------------------------------------------------------------------------