Format specifikacije agenta
Format specifikacije agenta
Tajo agenti su definisani u markdown fajlovima. Svaki fajl sadrži YAML frontmatter (identitet, alati, ograničenja) i markdown telo (uputstva, strategija, pravila). Ovaj format je inspirisan produkcionim šablonima agenata koji se koriste u sistemima multi-agent orkestracije.
Struktura fajla
---name: agent-namedescription: Šta ovaj agent radi (maks. 160 znakova)version: 1.0.0temperature: 0.2max_tokens: 4096tools: - brevo_contacts - brevo_email_campaign_management - brevo_sms_campaignstriggers: - event: cart_abandoned - schedule: "0 */4 * * *"permissions: - contacts:read - email:send - sms:send---
# Naziv agenta
Uputstva za agenta na prirodnom jeziku...Polja Frontmatter
Obavezna polja
| Polje | Tip | Opis |
|---|---|---|
name | string | Jedinstveni identifikator u kebab-case (npr. cart-recovery-agent) |
description | string | Šta ovaj agent radi (maks. 160 znakova) |
version | string | Semantička verzija (npr. 1.0.0) |
tools | array | Moduli Brevo MCP servera kojima ovaj agent ima pristup |
Polja ponašanja
| Polje | Tip | Podrazumevana vrednost | Opis |
|---|---|---|---|
temperature | float | 0.3 | Temperatura LLM-a. Niža = determinističnija. Koristite 0.1-0.2 za operacije sa podacima, 0.3-0.5 za dizajn kampanja |
max_tokens | integer | 4096 | Maksimalna dužina odgovora po obrtu |
model | string | claude-sonnet-4-6 | LLM model za upotrebu |
Polja okidača
| Polje | Tip | Podrazumevana vrednost | Opis |
|---|---|---|---|
triggers | array | [] | Događaji, rasporedi ili webhookovi koji aktiviraju ovog agenta |
triggers[].event | string | - | Naziv događaja (npr. cart_abandoned, customer_created) |
triggers[].schedule | string | - | Cron izraz (npr. 0 9 * * * za svaki dan u 9:00) |
triggers[].webhook | string | - | Putanja webhooks (npr. /agents/cart-recovery/trigger) |
triggers[].conditions | array | [] | Uslovi filtriranja za okidač |
triggers[].debounce | string | - | Prozor debounce-a (npr. 5m, 1h) |
Polja dozvola
| Polje | Tip | Podrazumevana vrednost | Opis |
|---|---|---|---|
permissions | array | [] | Zahtevani opsezi dozvola za revizorski zapis |
related_agents | array | [] | ID-ovi agenata na koje ovaj agent može da delegira |
escalation | string | - | Gde eskalirati kada agent nije siguran (human, supervisor-agent) |
Alati: Mapiranje na Brevo MCP servere
Polje tools referencira nazive modula Brevo MCP servera. Svaki modul se mapira na određeni endpoint na mcp.brevo.com:
tools: # Kontakti i segmentacija - brevo_contacts # /v1/brevo_contacts/mcp - brevo_lists # /v1/brevo_lists/mcp - brevo_segments # /v1/brevo_segments/mcp - brevo_attributes # /v1/brevo_attributes/mcp
# Kampanje i poruke - brevo_email_campaign_management # /v1/brevo_email_campaign_management/mcp - brevo_templates # /v1/brevo_templates/mcp - brevo_sms_campaigns # /v1/brevo_sms_campaigns/mcp - brevo_whatsapp_campaigns # /v1/brevo_whatsapp_campaigns/mcp
# Analitika - brevo_campaign_analytics # /v1/brevo_campaign_analytics/mcp
# Sales CRM - brevo_deals # /v1/brevo_deals/mcp - brevo_companies # /v1/brevo_companies/mcp - brevo_tasks # /v1/brevo_tasks/mcp - brevo_pipelines # /v1/brevo_pipelines/mcp - brevo_notes # /v1/brevo_notes/mcpTip
Koristite minimalni skup alata koji vaš agent treba. Manje alata = bolje AI zaključivanje i brži odgovori. Pogledajte Brevo MCP Server za sve dostupne module.
Okidači
Okidači događaja
Aktivirajte agenta kada se nešto dogodi u vašem sistemu:
triggers: - event: cart_abandoned conditions: - cart_value: "> 50" - items_count: ">= 1" - time_since_activity: "> 30m" debounce: 5mOkidači rasporeda
Pokrenite agenta po ponavljajućem rasporedu:
triggers: - schedule: "0 9 * * MON" # Svaki ponedeljak u 9:00 timezone: "America/New_York" - schedule: "0 */4 * * *" # Svakih 4 sata - schedule: "0 0 1 * *" # Prvog dana svakog mesecaOkidači webhookova
Pozovite agenta kroz HTTP:
triggers: - webhook: /agents/win-back/trigger method: POST authentication: api_keyTelo Markdown: Uputstva
Telo specifikacije agenta su uputstva na prirodnom jeziku. Pišite ga kao brifovanje iskusnom marketaru:
Struktura
# Naziv agenta
Kontekstualni pasus, šta ovaj agent radi i zašto.
## Strategija
Korak-po-korak pristup koji agent treba da prati.
## Okvir odlučivanja
Pravila za donošenje odluka (npr. koji kanal koristiti na osnovu vrednosti korpe).
## Pravila
Čvrsta ograničenja, stvari koje agent UVEK ili NIKAD ne sme da radi.
## Šabloni
Reference na ID-ove šablona Brevo, SMS tekstove, WhatsApp šablone.
## Metrike
Događaji za praćenje radi merenja uspeha.Pisanje efikasnih uputstava
Budite konkretni u pogledu strategije, ne samo ciljeva:
## LošeRe-engage churned customers.
## DobroWhen a customer hasn't purchased in 90+ days:1. Check their last 3 orders for product category preferences2. Create a personalized discount based on AOV (10% if AOV > $100, 15% if < $100)3. Send email with subject line referencing their preferred category4. Wait 72 hours, if no open, send SMS with discount code5. Wait 7 days, if no purchase, mark as deep-churn and stop sequenceEksplicitno definišite ograničenja:
## Pravila- NEVER send more than 3 messages per sequence- NEVER contact customers who unsubscribed- ALWAYS check if the customer converted before sending the next step- ALWAYS respect quiet hours (no SMS 9pm-9am local time)- If unsure about a decision, escalate to human reviewMulti-agent lanci
Za složene tokove rada sastavite više agenata u lanac. Svaki agent obrađuje jednu fazu, predajući kontekst sledećem:
name: quarterly-retention-campaignsteps: - agent: customer-intelligence input: | Analyze customer segments for Q2 retention campaign. Goal: {task}
Identify: 1. At-risk customers (declining purchase frequency) 2. VIP customers (top 10% by LTV) 3. Win-back candidates (90+ days since last order)
- agent: campaign-designer input: | Design retention campaigns for these segments: {previous}
Create differentiated approaches per segment: - At-risk: gentle nudge with product recommendations - VIP: exclusive early access or loyalty reward - Win-back: aggressive discount with urgency
- agent: campaign-executor input: | Execute these campaigns via Brevo: {previous}
Use appropriate channels per segment preference. Set up A/B tests for subject lines. Schedule sends for optimal times.
- agent: campaign-reporter input: | Generate the retention campaign launch report: {previous}
Include: segments targeted, campaigns created, expected reach, A/B test configurations.Promenljive lanca
| Promenljiva | Opis |
|---|---|
{task} | Originalni cilj/zahtev |
{previous} | Izlaz iz prethodnog koraka |
{step_N} | Izlaz iz koraka N (0-indeksirano) |
{artifacts_dir} | Direktorijum za izlazne fajlove |
Ugrađene specifikacije agenata
Campaign Orchestrator
---name: campaign-orchestratordescription: Design and execute multi-channel campaigns from natural language promptsversion: 2.0.0temperature: 0.3tools: - brevo_contacts - brevo_segments - brevo_email_campaign_management - brevo_templates - brevo_sms_campaigns - brevo_whatsapp_campaigns - brevo_campaign_analyticstriggers: - webhook: /agents/campaign/trigger method: POST---
# Campaign Orchestrator
You are a multi-channel marketing campaign specialist.Given a campaign brief, you design, build, and launchcampaigns across email, SMS, and WhatsApp via Brevo.
## Process1. Parse the campaign brief (audience, message, goal, timeline)2. Create or identify the target segment in Brevo3. Select the best channel(s) based on audience preference data4. Build campaign content using existing templates or creating new ones5. Configure send schedule and A/B tests6. Launch and report initial delivery metrics
## Channel Selection- Email: default for all campaigns- SMS: add for time-sensitive offers or cart recovery- WhatsApp: add for conversational campaigns or high-value segments
## Rules- ALWAYS preview campaigns before sending- NEVER send to unsubscribed contacts- ALWAYS set up tracking for campaign attribution- Maximum 2 A/B test variants per campaignCustomer Intelligence Agent
---name: customer-intelligencedescription: Autonomous segmentation, RFM scoring, and churn predictionversion: 1.5.0temperature: 0.2tools: - brevo_contacts - brevo_segments - brevo_attributes - brevo_lists - brevo_campaign_analyticstriggers: - schedule: "0 6 * * MON" timezone: "UTC"---
# Customer Intelligence Agent
You analyze customer data in Brevo to generate actionablesegments and insights for marketing teams.
## Weekly Analysis1. Pull contact activity data from campaign analytics2. Calculate RFM scores (Recency, Frequency, Monetary)3. Identify segment shifts (customers moving between tiers)4. Flag churn risks (declining engagement over 4+ weeks)5. Generate segment recommendations for upcoming campaigns
## Segment Definitions- Champions: R=5, F=5, M=5, recent, frequent, high-value- Loyal: R>=3, F>=4, M>=3, consistent buyers- At Risk: R<=2, F>=3, M>=3, were loyal, now fading- Hibernating: R=1, F>=2, M>=2, long gone, were once active- New: first purchase in last 30 days
## OutputProduce a markdown report with:- Segment sizes and week-over-week changes- Top 10 at-risk customers by LTV- Recommended actions per segment- Suggested campaign themes for the weekImplementacija
Programsko pokretanje agenta
import { TajoAgent } from "@tajo/agent-sdk";
const agent = new TajoAgent({ specPath: "./agents/cart-recovery-agent.md", brevoToken: process.env.BREVO_MCP_TOKEN, model: "claude-sonnet-4-6", // Povezuje samo MCP servere navedene u polju tools agenta autoConnectServers: true,});
const result = await agent.run( "Recover abandoned carts over $50 from the last 4 hours");
console.log(result.summary);console.log(result.toolCalls); // Potpuna revizorska putanjaconsole.log(result.metrics); // Praćeni događajiPokretanje kroz Claude Code
# Uputite na vašu specifikaciju agenta i pustite Claude da izvršavaclaude "Run the agent defined in ./agents/cart-recovery-agent.md for today's abandoned carts"Zakazivanje sa Cron
# Pokretajte agenta customer intelligence svaki ponedeljak u 6:000 6 * * MON claude --print "Run ./agents/customer-intelligence.md weekly analysis" >> /var/log/tajo-agents.log 2>&1Sledeći koraci
- Brevo MCP Server, Dostupni alati i konfiguracija servera
- Izgradnja prvog agenta, Praktični tutorijal
- Referenca Skills, Tajo Skills koji se kombinuju sa agentima
- Pregled MCP arhitekture, Kako sve funkcioniše zajedno