ReAct-Reasoning-Loop
SmarterCEO nutzt den ReAct-Ansatz (Reasoning + Acting). Jede Aufgabe durchläuft einen iterativen Zyklus:
Observe → Think → Act → Reflect → Observe → ...
Der Agent beobachtet Datenquellen (Observe), bildet Hypothesen (Think), führt Aktionen aus (Act) und evaluiert Ergebnisse (Reflect). Bei Bedarf startet ein neuer Zyklus. Bis zu 50 Iterationen pro Aufgabe. Mit Timeout nach 300 Sekunden.
API-Beispiel: OKR-Status abrufen
POST /api/v1/agents/smarterceo/query
Content-Type: application/json
Authorization: Bearer <JWT>
{
"action": "get_okr_status",
"quarter": "Q2-2026",
"filters": { "department": "all" }
}
JSON-Response
{
"status": "success",
"data": {
"objectives": [
{
"id": "OBJ-001",
"title": "Customer Retention auf 95% steigern",
"progress": 0.72,
"key_results": [
{ "kr": "Churn-Rate <5%", "current": 6.8, "unit": "%", "status": "at_risk" },
{ "kr": "NPS >50", "current": 47, "unit": "score", "status": "on_track" },
{ "kr": "Onboarding <3 Tage", "current": 2.1, "unit": "days", "status": "achieved" }
],
"recommendation": "Customer-Success-Team Verstärkung für at-risk KRs."
}
],
"generated_at": "2026-07-10T14:30:00Z",
"processing_time_ms": 1840
},
"audit_trail": {
"agent_id": "smarterceo-001",
"reasoning_steps": 12,
"data_sources": ["salesforce", "intercom", "internal_db"],
"model": "glm-5.2",
"tokens": { "input": 4200, "output": 1800 }
}
}
Audit-Trail
Jede SmarterCEO-Aktion wird protokolliert. Der Audit-Trail enthält: Agent-ID, Zeitstempel, Reasoning-Steps, Datenquellen, Modell, Token-Verbrauch, Input/Output-Hashes. Speicherung in SQLite oder PostgreSQL. Verschlüsselt, manipulationssicher, revisionssicher. Aufbewahrung gemäß DSGVO-Aufbewahrungsfristen.
Multi-Agenten-Stack
SmarterCEO (Orchestrator)
├── SmarterPentester → Security-Audits, Vulnerability-Scans
├── SmartrContent → Report-Generierung, Natural Language
├── SmartrITGott → Infrastruktur-Monitoring, AIOps
├── SmartrTrader → Finanzdaten, Krypto-Risk
├── SmartrMarketing → Marktanalyse, Wettbewerbs-Scans
├── SmartrHRGott → Personal-Reports, Recruiting-Analytics
├── SmartrSocialMedia → Social-Media-Monitoring
├── SmartrInfluencer → Brand-Perception-Tracking
└── (Custom Sub-Agenten möglich)
Kommunikation über NATS JetStream. State in Redis. Jeder Sub-Agent kann unabhängig skalieren. Fehler-Isolation: Ein Sub-Agent-Crash beeinträchtigt nicht den Orchestrator. Circuit-Breaker-Pattern aktiviert bei 3 Fehlern in 60 Sekunden.
ReAct Reasoning Loop
SmarterCEO uses the ReAct approach (Reasoning + Acting). Each task goes through an iterative cycle:
Observe → Think → Act → Reflect → Observe → ...
The agent observes data sources (Observe), forms hypotheses (Think), executes actions (Act) and evaluates results (Reflect). If needed, a new cycle starts. Up to 50 iterations per task. With timeout after 300 seconds.
API Example: Query OKR Status
POST /api/v1/agents/smarterceo/query
Content-Type: application/json
Authorization: Bearer <JWT>
{
"action": "get_okr_status",
"quarter": "Q2-2026",
"filters": { "department": "all" }
}
JSON Response
{
"status": "success",
"data": {
"objectives": [
{
"id": "OBJ-001",
"title": "Increase Customer Retention to 95%",
"progress": 0.72,
"key_results": [
{ "kr": "Churn rate <5%", "current": 6.8, "unit": "%", "status": "at_risk" },
{ "kr": "NPS >50", "current": 47, "unit": "score", "status": "on_track" },
{ "kr": "Onboarding <3 days", "current": 2.1, "unit": "days", "status": "achieved" }
],
"recommendation": "Reinforce customer success team for at-risk KRs."
}
],
"generated_at": "2026-07-10T14:30:00Z",
"processing_time_ms": 1840
},
"audit_trail": {
"agent_id": "smarterceo-001",
"reasoning_steps": 12,
"data_sources": ["salesforce", "intercom", "internal_db"],
"model": "glm-5.2",
"tokens": { "input": 4200, "output": 1800 }
}
}
Audit Trail
Every SmarterCEO action is logged. The audit trail contains: agent ID, timestamp, reasoning steps, data sources, model, token consumption, input/output hashes. Storage in SQLite or PostgreSQL. Encrypted, tamper-proof, auditable. Retention according to GDPR retention periods.
Multi-Agent Stack
SmarterCEO (Orchestrator)
├── SmarterPentester → Security audits, vulnerability scans
├── SmartrContent → Report generation, natural language
├── SmartrITGott → Infrastructure monitoring, AIOps
├── SmartrTrader → Financial data, crypto risk
├── SmartrMarketing → Market analysis, competitive scans
├── SmartrHRGott → HR reports, recruiting analytics
├── SmartrSocialMedia → Social media monitoring
├── SmartrInfluencer → Brand perception tracking
└── (Custom sub-agents possible)
Communication via NATS JetStream. State in Redis. Each sub-agent can scale independently. Error isolation: a sub-agent crash does not affect the orchestrator. Circuit breaker pattern activated after 3 failures in 60 seconds.
