symfonic.agent.triage.intent

intent

IntentClassifier -- deterministic pre-hydration intent routing.

Routes each turn into one of three lanes so the hydration path can skip semantic retrieval on pure action turns:

• action — the user is asking the agent to do something (run a tool, call an API, perform a mutation). Full hydration wastes tokens.
• knowledge — the user wants information or recall. Hydration is load-bearing.
• ambiguous — the signals are mixed; treat as knowledge to stay safe (full hydration is the conservative fallback).

The classifier is deterministic by design in v7.0:

• English verb lexicon seeded from operational agent corpora (see lexicon.py).
• Overlap against DomainTemplate.tool_trigger_keywords — the same map v6.1.8 uses for tool-manifest gating, so adopters already have it populated.
• Zero LLM calls. An LLM fallback for ambiguous turns is tracked for v7.1 (v7.0-plan.md § 7).

The classifier emits an ExtensionEvent with type= "intent_classified" through the engine's callback manager so operators running in observe mode can tune before flipping to enforce.

IntentClassifier

IntentClassifier(*, ambiguity_confidence_floor: float = 0.55, min_action_signals: int = 2)

Deterministic verb+keyword intent classifier.

Thread-safe and stateless. Safe to reuse across turns. Callers wire this into the hydration path via FrameworkConfig.intent_filter_mode (see engine.py). Scoring lives in :mod:symfonic._intent_scoring, shared with the capabilities.triage port; this module owns the lexicon and the DomainTemplate input.

Parameters:

Name	Type	Description	Default
ambiguity_confidence_floor	float	Verdicts below this confidence value are labelled ambiguous regardless of which lane won. Default 0.55 — chosen so pure verb-lexicon hits (~0.6) stay decisive while contested turns fall through.	0.55
min_action_signals	int	Minimum number of distinct signals required before action can win outright. Default 2 implements the "2-of-3" rule from risk register item T06 so a single action verb in a question turn does not flip to action.	2

Source code in src/symfonic/agent/triage/intent.py

def __init__(
    self,
    *,
    ambiguity_confidence_floor: float = 0.55,
    min_action_signals: int = 2,
) -> None:
    self._scoring = IntentScoring(
        _LEXICON,
        ambiguity_confidence_floor=ambiguity_confidence_floor,
        min_action_signals=min_action_signals,
    )

classify

classify(query: str, domain: DomainTemplate | None = None) -> IntentVerdict

Classify query into action / knowledge / ambiguous.

Never raises. On empty input returns an ambiguous verdict with confidence 0.0.

Source code in src/symfonic/agent/triage/intent.py

def classify(
    self,
    query: str,
    domain: DomainTemplate | None = None,
) -> IntentVerdict:
    """Classify ``query`` into action / knowledge / ambiguous.

    Never raises. On empty input returns an ``ambiguous`` verdict
    with confidence ``0.0``.
    """
    verdict = IntentVerdict(**self._scoring.score(query, _tool_keywords(domain)).as_fields())
    logger.debug("intent verdict: %s", verdict)
    return verdict

IntentVerdict dataclass

IntentVerdict(label: IntentLabel, confidence: float, matched_tool_keywords: list[str] = list(), reasoning: str = '', action_score: float = 0.0, knowledge_score: float = 0.0)

Classifier verdict for a single turn.

Attributes:

Name	Type	Description
label	IntentLabel	One of action / knowledge / ambiguous.
confidence	float	0.0–1.0 heuristic confidence. Values below 0.55 are coerced to ambiguous regardless of the winning lane so downstream consumers can gate on a single axis.
matched_tool_keywords	list[str]	Tool names whose trigger keywords overlap with the current query (per DomainTemplate).
reasoning	str	Short human-readable note — which signals fired.
action_score	float	Raw action-lane score prior to normalisation.
knowledge_score	float	Raw knowledge-lane score prior to normalisation.

to_event_payload

to_event_payload() -> dict[str, object]

Return a minimal payload suitable for an ExtensionEvent.

Source code in src/symfonic/agent/triage/intent.py

def to_event_payload(self) -> dict[str, object]:
    """Return a minimal payload suitable for an ``ExtensionEvent``."""
    return {
        "label": self.label,
        "confidence": round(self.confidence, 3),
        "matched_tool_keywords": list(self.matched_tool_keywords),
        "reasoning": self.reasoning,
        "action_score": round(self.action_score, 3),
        "knowledge_score": round(self.knowledge_score, 3),
    }