personal memory agent
Add action logging to speakers and agents apps
Speakers app (facet-scoped):
- voiceprint_save: when saving voiceprint to existing entity
- entity_voiceprint_create: when creating entity with voiceprint
Agents app (journal-level):
- agent_create/agent_update: when creating or updating agent definitions
- insight_create/insight_update: when creating or updating insight definitions
- insight_toggle: when toggling insight enabled/disabled state
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
+69
-1
+39
-1
apps/agents/routes.py
+39
-1
apps/agents/routes.py
···
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from flask import Blueprint, jsonify, request
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+
from apps.utils import log_app_action
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from convey import state
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agents_bp = Blueprint(
···
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item_name = item_type[
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:-1
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].title() # 'agents' -> 'Agent', 'insights' -> 'Insight'
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-
return {"success": True, "message": f"{item_name} {action} successfully"}, 200
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return {
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"success": True,
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"message": f"{item_name} {action} successfully",
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"is_new": is_new,
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}, 200
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except Exception as e:
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return {"error": str(e)}, 500
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···
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return jsonify({"error": "Invalid fields for agent update"}), 400
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response, status = _update_item("agents", agent_id, data)
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# Log successful agent create/update (journal-level since agents are global)
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if status == 200 and response.get("success"):
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action = "agent_create" if response.get("is_new") else "agent_update"
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log_app_action(
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app="agents",
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facet=None,
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action=action,
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params={"agent_id": agent_id, "title": data.get("title", "")},
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)
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return jsonify(response), status
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···
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json.dump(insight_config, f, indent=4)
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response, status = _update_item("insights", insight_id, data)
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# Log successful insight create/update (journal-level since insights are global)
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if status == 200 and response.get("success"):
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action = "insight_create" if response.get("is_new") else "insight_update"
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log_app_action(
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app="agents",
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facet=None,
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action=action,
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params={"insight_id": insight_id, "title": data.get("title", "")},
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)
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return jsonify(response), status
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···
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# Write back to file
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with open(json_path, "w", encoding="utf-8") as f:
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json.dump(insight_config, f, indent=4)
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+
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# Log the toggle (journal-level since insights are global)
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log_app_action(
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app="agents",
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facet=None,
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action="insight_toggle",
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params={
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"insight_id": insight_id,
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"disabled": insight_config["disabled"],
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},
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)
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return jsonify({"success": True, "disabled": insight_config["disabled"]})
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except Exception as e:
+30
apps/speakers/routes.py
+30
apps/speakers/routes.py
···
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url_for,
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)
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from apps.utils import log_app_action
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from convey import state
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from convey.utils import DATE_RE, error_response, format_date, success_response
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from think.entities import (
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# Save voiceprint
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try:
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emb_path = _save_voiceprint_to_entity(facet, entity_name, day, segment_key, emb)
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# Log action (facet-scoped since voiceprints are tied to entities)
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log_app_action(
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app="speakers",
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facet=facet,
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action="voiceprint_save",
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params={
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"entity_name": entity_name,
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"day": day,
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"segment_key": segment_key,
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"speaker_label": speaker_label,
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},
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)
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return success_response({"path": str(emb_path)})
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except Exception as e:
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logger.exception("Failed to save voiceprint for %s", entity_name)
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# Save voiceprint
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try:
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emb_path = _save_voiceprint_to_entity(facet, entity_name, day, segment_key, emb)
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+
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# Log action (facet-scoped since entities are facet-scoped)
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log_app_action(
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app="speakers",
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facet=facet,
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action="entity_voiceprint_create",
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params={
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"entity_name": entity_name,
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"entity_type": entity_type,
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+
"day": day,
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"segment_key": segment_key,
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"speaker_label": speaker_label,
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},
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)
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+
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return success_response(
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{"entity": new_entity, "voiceprint_path": str(emb_path)}
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)