Format Spesifikasi Agen
Agen Tajo didefinisikan dalam berkas markdown. Setiap berkas berisi frontmatter YAML (identitas, tools, batasan) dan badan markdown (instruksi, strategi, aturan). Format ini terinspirasi oleh pola agen produksi yang dipakai pada sistem orkestrasi multi-agen.
Struktur berkas
---name: agent-namedescription: What this agent does (max 160 chars)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---
# Agent Name
Instructions for the agent in natural language...Field frontmatter
Field wajib
| Field | Tipe | Deskripsi |
|---|---|---|
name | string | Identifier unik dalam kebab-case (misalnya, cart-recovery-agent) |
description | string | Apa yang dilakukan agen ini (maksimal 160 karakter) |
version | string | Versi semantik (misalnya, 1.0.0) |
tools | array | Modul server MCP Brevo yang dapat diakses agen ini |
Field perilaku
| Field | Tipe | Bawaan | Deskripsi |
|---|---|---|---|
temperature | float | 0.3 | Temperature LLM. Makin rendah = makin deterministik. Gunakan 0,1-0,2 untuk operasi data, 0,3-0,5 untuk perancangan kampanye |
max_tokens | integer | 4096 | Panjang maksimal respons per giliran |
model | string | claude-sonnet-4-6 | Model LLM yang digunakan |
Field pemicu
| Field | Tipe | Bawaan | Deskripsi |
|---|---|---|---|
triggers | array | [] | Event, jadwal, atau Webhook yang mengaktifkan agen ini |
triggers[].event | string | - | Nama event (misalnya, cart_abandoned, customer_created) |
triggers[].schedule | string | - | Ekspresi cron (misalnya, 0 9 * * * untuk setiap hari pukul 09.00) |
triggers[].webhook | string | - | Path Webhook (misalnya, /agents/cart-recovery/trigger) |
triggers[].conditions | array | [] | Kondisi filter untuk pemicu |
triggers[].debounce | string | - | Jendela debounce (misalnya, 5m, 1h) |
Field izin
| Field | Tipe | Bawaan | Deskripsi |
|---|---|---|---|
permissions | array | [] | Scope izin yang diperlukan untuk jejak audit |
related_agents | array | [] | ID agen yang bisa menerima delegasi dari agen ini |
escalation | string | - | Ke mana masalah dialihkan saat agen ragu (human, supervisor-agent) |
Tools: Pemetaan ke server MCP Brevo
Field tools merujuk pada nama modul server MCP Brevo. Setiap modul dipetakan ke endpoint tertentu di mcp.brevo.com:
tools: # Contacts & Segmentation - brevo_contacts # /v1/brevo_contacts/mcp - brevo_lists # /v1/brevo_lists/mcp - brevo_segments # /v1/brevo_segments/mcp - brevo_attributes # /v1/brevo_attributes/mcp
# Campaigns & Messaging - 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
# Analytics - 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
Gunakan set tools seminimal mungkin sesuai kebutuhan agen Anda. Makin sedikit tools = penalaran AI makin baik dan respons makin cepat. Lihat Server MCP Brevo untuk semua modul yang tersedia.
Pemicu
Pemicu berbasis event
Aktifkan agen saat sesuatu terjadi di sistem Anda:
triggers: - event: cart_abandoned conditions: - cart_value: "> 50" - items_count: ">= 1" - time_since_activity: "> 30m" debounce: 5mPemicu berbasis jadwal
Jalankan agen menurut jadwal berulang:
triggers: - schedule: "0 9 * * MON" # Every Monday at 9am timezone: "America/New_York" - schedule: "0 */4 * * *" # Every 4 hours - schedule: "0 0 1 * *" # First day of each monthPemicu berbasis Webhook
Panggil agen melalui HTTP:
triggers: - webhook: /agents/win-back/trigger method: POST authentication: api_keyBadan markdown: instruksi
Badan spesifikasi agen berisi instruksi dalam bahasa alami. Tulislah seolah Anda sedang memberi arahan kepada seorang marketer yang cakap:
Struktur
# Agent Name
Context paragraph, what this agent does and why.
## Strategy
Step-by-step approach the agent should follow.
## Decision Framework
Rules for making choices (e.g., which channel to use based on cart value).
## Rules
Hard constraints, things the agent must ALWAYS or NEVER do.
## Templates
References to Brevo template IDs, SMS copy, WhatsApp templates.
## Metrics
Events to track for measuring success.Menulis instruksi yang efektif
Jelaskan strategi secara spesifik, bukan sekadar tujuan:
## BadRe-engage churned customers.
## GoodWhen 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 sequenceDefinisikan guardrail secara eksplisit:
## Rules- 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 reviewRantai multi-agen
Untuk alur kerja yang kompleks, susun beberapa agen dalam satu rantai. Setiap agen menangani satu fase, lalu meneruskan konteks ke agen berikutnya:
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.Variabel rantai
| Variabel | Deskripsi |
|---|---|
{task} | Tujuan atau permintaan awal |
{previous} | Keluaran dari langkah sebelumnya |
{step_N} | Keluaran dari langkah N (indeks dimulai dari 0) |
{artifacts_dir} | Direktori untuk keluaran berkas |
Spesifikasi agen bawaan
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 weekDeployment
Menjalankan agen secara programatis
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", // Only connect the MCP servers listed in the agent's tools field 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); // Full audit trailconsole.log(result.metrics); // Events trackedMenjalankan lewat Claude Code
# Point to your agent spec and let Claude execute itclaude "Run the agent defined in ./agents/cart-recovery-agent.md for today's abandoned carts"Menjadwalkan dengan cron
# Run the customer intelligence agent every Monday at 6am0 6 * * MON claude --print "Run ./agents/customer-intelligence.md weekly analysis" >> /var/log/tajo-agents.log 2>&1Langkah selanjutnya
- Server MCP Brevo, Tools yang tersedia dan konfigurasi server
- Membangun Agen Pertama Anda, Tutorial praktis
- Referensi Skills, Tajo Skills yang dapat dipadukan dengan agen
- Ringkasan Arsitektur MCP, Bagaimana semuanya saling terhubung