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anandh8x a3b09218aa Add deterministic completion policy
Extract completion decisions from the agent loop into a feature-gated typed policy with complete, incomplete, and uncertain outcomes. Preserve bounded plan-stall nudges and allow at most one semantic acceptance check for self-correcting runs.

Tested: make build

Tested: make test

Tested: go fmt ./...

Tested: go vet ./...

Tested: make lint

Tested: govulncheck ./...

Note: repository-wide pinned golangci-lint reports 36 pre-existing unrelated findings; internal/agent/... reports 0 issues.
2026-07-18 00:21:22 +05:30
4 changed files with 175 additions and 61 deletions

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+86
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@@ -0,0 +1,86 @@
package agent
// CompletionDecision is the deterministic outcome of evaluating a text-only
// assistant turn. Uncertain means the loop needs one bounded follow-up action
// before it can finalize the run.
type CompletionDecision string
const (
CompletionUncertain CompletionDecision = "uncertain"
CompletionComplete CompletionDecision = "complete"
CompletionIncomplete CompletionDecision = "incomplete"
)
type completionAction string
const (
completionActionNone completionAction = ""
completionActionContinue completionAction = "continue"
completionActionSemanticCheck completionAction = "semantic_check"
)
type completionEvaluation struct {
Decision CompletionDecision
Action completionAction
Reason string
}
// completionPolicy owns the small amount of state needed to keep uncertain
// decisions bounded. requireSemanticCheck is set only for run profiles that
// already opted into self-correction; ordinary completion remains entirely
// local and adds no model call.
type completionPolicy struct {
continueNudges int
requireSemanticCheck bool
semanticCheckRequested bool
}
func newCompletionPolicy(requireSemanticCheck bool) *completionPolicy {
return &completionPolicy{requireSemanticCheck: requireSemanticCheck}
}
func (policy *completionPolicy) evaluate(text string, planPending bool) completionEvaluation {
// A direct admission is strong local evidence and takes precedence over all
// weaker signals, avoiding both continuation nudges and semantic checks.
if reason := selfReportedIncompletion(text); reason != "" {
return completionEvaluation{Decision: CompletionIncomplete, Reason: reason}
}
// A continuation cue is strong unfinished evidence; a pending plan is only
// weak evidence because bookkeeping can be stale. Both get a bounded chance
// to continue, but only a persisted cue is ultimately incomplete.
cue := endsWithContinuationCue(text)
if cue || planPending {
if policy.continueNudges < maxContinueNudges {
policy.continueNudges++
reason := "your message ended mid-step"
if !cue {
reason = "pending plan items remain — finish them, or mark them complete with update_plan if you are done"
}
return completionEvaluation{
Decision: CompletionUncertain,
Action: completionActionContinue,
Reason: reason,
}
}
if cue {
return completionEvaluation{
Decision: CompletionIncomplete,
Reason: "your message ended mid-step",
}
}
}
// Profiles with self-correction enabled require one task-grounded semantic
// check. It is requested at most once per run; the next locally complete turn
// is accepted without another model call.
if policy.requireSemanticCheck && !policy.semanticCheckRequested {
policy.semanticCheckRequested = true
return completionEvaluation{
Decision: CompletionUncertain,
Action: completionActionSemanticCheck,
}
}
return completionEvaluation{Decision: CompletionComplete, Action: completionActionNone}
}
+64
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@@ -0,0 +1,64 @@
package agent
import "testing"
func TestCompletionPolicyLocalEvidenceDecidesWithoutSemanticCheck(t *testing.T) {
policy := newCompletionPolicy(false)
complete := policy.evaluate("Done. All required checks pass.", false)
if complete.Decision != CompletionComplete {
t.Fatalf("confident completion decision = %q, want %q", complete.Decision, CompletionComplete)
}
incomplete := policy.evaluate("I couldn't verify the result, so this is my best guess.", false)
if incomplete.Decision != CompletionIncomplete {
t.Fatalf("admitted failure decision = %q, want %q", incomplete.Decision, CompletionIncomplete)
}
}
func TestCompletionPolicyPreservesBoundedPlanStallProtection(t *testing.T) {
policy := newCompletionPolicy(false)
for attempt := 0; attempt < maxContinueNudges; attempt++ {
got := policy.evaluate("Let me inspect the remaining configuration:", true)
if got.Decision != CompletionUncertain || got.Action != completionActionContinue {
t.Fatalf("attempt %d = (%q, %q), want uncertain continue", attempt+1, got.Decision, got.Action)
}
}
got := policy.evaluate("Let me inspect the remaining configuration:", true)
if got.Decision != CompletionIncomplete {
t.Fatalf("decision after nudge budget = %q, want %q", got.Decision, CompletionIncomplete)
}
}
func TestCompletionPolicyTreatsPendingPlanAsWeakEvidence(t *testing.T) {
policy := newCompletionPolicy(false)
for attempt := 0; attempt < maxContinueNudges; attempt++ {
got := policy.evaluate("All set.", true)
if got.Decision != CompletionUncertain || got.Action != completionActionContinue {
t.Fatalf("attempt %d = (%q, %q), want uncertain continue", attempt+1, got.Decision, got.Action)
}
}
got := policy.evaluate("All set.", true)
if got.Decision != CompletionComplete {
t.Fatalf("stale plan decision after nudge budget = %q, want %q", got.Decision, CompletionComplete)
}
}
func TestCompletionPolicyAllowsExactlyOneRequiredSemanticCheck(t *testing.T) {
policy := newCompletionPolicy(true)
first := policy.evaluate("Implemented and tested.", false)
if first.Decision != CompletionUncertain || first.Action != completionActionSemanticCheck {
t.Fatalf("first decision = (%q, %q), want uncertain semantic check", first.Decision, first.Action)
}
second := policy.evaluate("PASS. The result meets the task criterion.", false)
if second.Decision != CompletionComplete {
t.Fatalf("post-check decision = %q, want %q", second.Decision, CompletionComplete)
}
if second.Action == completionActionSemanticCheck {
t.Fatal("semantic check was requested more than once")
}
}
+20 -59
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@@ -170,13 +170,10 @@ func Run(ctx context.Context, prompt string, provider Provider, options Options)
// loaded tool's full schema; it lives only for the run (v1 within-run scope).
loaded := map[string]bool{}
// continueNudges counts how many times the headless completion gate
// (Options.RequireCompletionSignal) has re-prompted a no-tool-call turn that
// stopped with work still unfinished. Bounded by maxContinueNudges.
continueNudges := 0
// acceptanceRequested records that the one-time task-grounded acceptance check
// has already been demanded this run, so it fires at most once.
acceptanceRequested := false
// The feature-gated completion policy keeps local completion decisions and its
// bounded follow-up state out of the central loop. Self-correcting profiles
// opt into the one permitted task-grounded semantic check.
completionPolicy := newCompletionPolicy(options.SelfCorrect != nil)
// toolDefCache memoizes each tool's rendered JSON-schema definition across
// turns (a tool's advertised schema is stable for the run), so partitionTools
@@ -521,68 +518,32 @@ func Run(ctx context.Context, prompt string, provider Provider, options Options)
// model's final answer ONLY when the work is actually done. Default off
// (RequireCompletionSignal), so interactive runs stay byte-identical.
if options.RequireCompletionSignal {
// (1) Self-report downgrade (strongest, unambiguous): the model's own
// final message admits it guessed / could not meet the objective. Checked
// FIRST so an admitted-impossible task is downgraded immediately (no wasted
// continue-nudges) and reports the accurate reason.
if reason := selfReportedIncompletion(collected.Text); reason != "" {
evaluation := completionPolicy.evaluate(collected.Text, guards.pendingPlanItems())
switch evaluation.Decision {
case CompletionIncomplete:
result.Incomplete = true
result.IncompleteReason = reason
result.IncompleteReason = evaluation.Reason
result.FinalAnswer = collected.Text
result.Messages = copyMessages(messages)
return result, nil
}
// (2) The model stopped without a tool call while work may be unfinished:
// - a continuation cue ("…Let me check the config:") is an unambiguous
// mid-step stop;
// - pending update_plan items are a WEAK, ambiguous signal (the model may
// have finished without re-marking the last step).
// Nudge to continue (bounded). After the budget: a persisted continuation
// cue finalizes INCOMPLETE; pending-plan WITHOUT a cue does NOT (that would
// false-fail a completed run with stale bookkeeping) — fall through to the
// acceptance check / success.
cue := endsWithContinuationCue(collected.Text)
planPending := guards.pendingPlanItems()
if cue || planPending {
if continueNudges < maxContinueNudges {
continueNudges++
case CompletionUncertain:
switch evaluation.Action {
case completionActionContinue:
options.Trace.Counter(trace.CounterCompletionNudges, 1)
reason := "your message ended mid-step"
if !cue {
reason = "pending plan items remain — finish them, or mark them complete with update_plan if you are done"
}
messages = append(messages, zeroruntime.Message{
Role: zeroruntime.MessageRoleUser,
Content: continueNudge(reason),
Content: continueNudge(evaluation.Reason),
})
case completionActionSemanticCheck:
options.Trace.Counter(trace.CounterAcceptanceChecks, 1)
messages = append(messages, zeroruntime.Message{
Role: zeroruntime.MessageRoleUser,
Content: acceptanceVerificationNudge(),
})
continue
}
if cue {
result.Incomplete = true
result.IncompleteReason = "your message ended mid-step"
result.FinalAnswer = collected.Text
result.Messages = copyMessages(messages)
return result, nil
}
// pending-plan only, budget spent: trust the model's completion claim
// over stale plan bookkeeping; fall through.
}
// (3) Task-grounded acceptance: before accepting a "done" turn as success,
// require ONE acceptance check grounded in the task's stated criterion
// (only when self-correct is on). Rejects "well-formed == correct",
// "existing-tests-pass == objective met", and "result == baseline" false
// successes. Bounded to a single pass; a genuine post-check completion
// (no admission, no cue) then finalizes as success on the next turn.
if options.SelfCorrect != nil && !acceptanceRequested {
acceptanceRequested = true
options.Trace.Counter(trace.CounterAcceptanceChecks, 1)
messages = append(messages, zeroruntime.Message{
Role: zeroruntime.MessageRoleUser,
Content: acceptanceVerificationNudge(),
})
continue
case CompletionComplete:
// Local evidence is sufficient; proceed to final diagnostics.
}
}
// Finalization diagnostics gate: edits from this run may still have
+5 -2
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@@ -315,8 +315,11 @@ type Options struct {
// continuation cue ("…Let me check the config:"). The loop then nudges the
// model to continue instead, bounded by maxContinueNudges (and still by
// MaxTurns and the run deadline); if the model keeps stalling, the run
// finalizes as INCOMPLETE (Result.Incomplete) rather than success. Default
// false leaves the loop byte-identical, so the interactive TUI is unaffected.
// finalizes as INCOMPLETE (Result.Incomplete) rather than success. When the
// run's profile also enables SelfCorrect, an otherwise-complete turn gets one
// task-grounded semantic check before success; profiles without SelfCorrect
// add no model call. Default false leaves the loop byte-identical, so the
// interactive TUI is unaffected.
RequireCompletionSignal bool
runPermissions *permissionRunState