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Author SHA1 Message Date
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6cef7c7257 Add capability-matrix checks and social action fallbacks 2026-05-18 16:02:08 +05:30
2 changed files with 114 additions and 0 deletions

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@@ -698,6 +698,39 @@ class BaseALwrityAgent(ABC):
"agent_id": self.agent_id, "agent_id": self.agent_id,
} }
capability_decision = self._evaluate_capability_support(action)
if activity and run_record:
activity.log_event(
event_type="decision",
severity="info" if capability_decision.get("supported", False) else "warning",
message=capability_decision.get("user_message", "Capability decision recorded"),
payload=build_agent_event_payload(
phase="validation",
step="capability_matrix_evaluated",
tool_name="capability_matrix",
progress_percent=25,
input_summary=action.action_type,
output_summary="Supported action" if capability_decision.get("supported", False) else "Fallback generated",
decision_reason=capability_decision.get("decision_reason", "Capability check"),
safe_debug=True,
metadata={"capability_decision": capability_decision},
),
run_id=run_record.id,
agent_type=self.agent_type,
)
if not capability_decision.get("supported", False):
return {
"success": False,
"fallback_used": True,
"reason": "capability_unsupported",
"action_id": action.action_id,
"agent_id": self.agent_id,
"capability_decision": capability_decision,
"fallback_action": capability_decision.get("fallback_action"),
"user_message": capability_decision.get("user_message"),
}
# 2. Create rollback checkpoint # 2. Create rollback checkpoint
try: try:
# Capture current system state # Capture current system state
@@ -913,6 +946,83 @@ class BaseALwrityAgent(ABC):
Consider user goals, safety constraints, and potential impacts. Consider user goals, safety constraints, and potential impacts.
""" """
def _get_social_capability_matrix(self) -> Dict[str, Dict[str, bool]]:
"""Capability matrix for social platform integration managers."""
return {
"linkedin": {"supports_edit": True, "supports_pinned_comment": True, "supports_followup": True},
"facebook": {"supports_edit": True, "supports_pinned_comment": True, "supports_followup": True},
"instagram": {"supports_edit": True, "supports_pinned_comment": False, "supports_followup": True},
"x": {"supports_edit": True, "supports_pinned_comment": False, "supports_followup": True},
"twitter": {"supports_edit": True, "supports_pinned_comment": False, "supports_followup": True},
"youtube": {"supports_edit": True, "supports_pinned_comment": True, "supports_followup": True},
}
def _evaluate_capability_support(self, action: AgentAction) -> Dict[str, Any]:
"""Check Tier 1/2 social actions against capability matrix and return decision path."""
platform = str(action.parameters.get("platform", "")).strip().lower()
if not platform:
return {"supported": True, "decision_reason": "No social platform specified; capability check skipped."}
matrix = self._get_social_capability_matrix()
platform_caps = matrix.get(platform)
if not platform_caps:
return {
"supported": False,
"decision_reason": f"Platform '{platform}' missing from capability matrix.",
"fallback_action": self._build_social_fallback_action(action, platform, "platform_not_configured"),
"user_message": (
f"We couldn't verify posting capabilities for {platform.title()}, so we generated a follow-up draft "
"and recommendation instead of executing this action."
),
}
action_tier = str(action.parameters.get("action_tier", "")).strip().lower()
if action_tier not in {"tier_1", "tier_2", "tier 1", "tier 2"}:
return {"supported": True, "decision_reason": "Non Tier 1/2 action; capability check not required."}
action_type = action.action_type.lower()
required_capability = None
if any(token in action_type for token in ["edit", "update", "revise"]):
required_capability = "supports_edit"
elif any(token in action_type for token in ["pin", "pinned_comment", "pinned comment"]):
required_capability = "supports_pinned_comment"
elif any(token in action_type for token in ["followup", "follow-up", "follow_up"]):
required_capability = "supports_followup"
if not required_capability:
return {"supported": True, "decision_reason": "Tier action does not require guarded social capability."}
supported = bool(platform_caps.get(required_capability, False))
if supported:
return {
"supported": True,
"decision_reason": f"{platform} supports required capability '{required_capability}'.",
"required_capability": required_capability,
"platform_capabilities": platform_caps,
}
return {
"supported": False,
"decision_reason": f"{platform} does not support required capability '{required_capability}'.",
"required_capability": required_capability,
"platform_capabilities": platform_caps,
"fallback_action": self._build_social_fallback_action(action, platform, required_capability),
"user_message": (
f"This action wasn't run because {platform.title()} does not support {required_capability}. "
"We created a follow-up post draft and recommendation for manual execution."
),
}
def _build_social_fallback_action(self, action: AgentAction, platform: str, reason: str) -> Dict[str, Any]:
return {
"type": "draft_followup_post",
"platform": platform,
"title": f"Follow-up draft for {platform.title()}",
"draft": f"Follow-up for original action '{action.action_type}' on {action.target_resource}.",
"recommendation": "Review and publish manually, then notify the team.",
"reason": reason,
}
async def _validate_action_safety(self, action: AgentAction) -> bool: async def _validate_action_safety(self, action: AgentAction) -> bool:
"""Validate action against safety constraints""" """Validate action against safety constraints"""
try: try:

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@@ -70,6 +70,10 @@ class SocialAmplificationAgent(BaseALwrityAgent):
# Instruction should be provided during invocation or via orchestrator context # Instruction should be provided during invocation or via orchestrator context
) )
def get_social_integration_capabilities(self) -> Dict[str, Dict[str, bool]]:
"""Expose platform capability flags used by social integration managers."""
return self._get_social_capability_matrix()
# Tool Implementations # Tool Implementations
def _social_monitor_tool(self, context: Dict[str, Any]) -> Dict[str, Any]: def _social_monitor_tool(self, context: Dict[str, Any]) -> Dict[str, Any]: