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- Created logs/ structure (sessions, operations, incidents) - Added session-start/log/end scripts - Installed Git hooks for auto-logging commits/pushes - Added shell integration for zsh - Created CHANGELOG.md - Documented today's session (2026-01-10)
187 lines
3.0 KiB
Markdown
187 lines
3.0 KiB
Markdown
# Agents Service
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**Port:** 7014
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**Purpose:** Agent management, metrics, context, and events for DAARION Agent Hub
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## Features
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✅ **Agent Management:**
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- List all agents (with filters)
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- Get agent details
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- Update agent settings (model, tools)
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✅ **Metrics Integration:**
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- Real-time usage stats from usage-engine
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- LLM calls, tokens, latency
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- Tool usage statistics
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✅ **Context Integration:**
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- Agent memory from memory-orchestrator
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- Short-term, mid-term, knowledge
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✅ **Events (Phase 6):**
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- Agent activity feed
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- Reply, tool calls, errors
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✅ **Security:**
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- Authentication via auth-service
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- Authorization via PDP
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- PEP enforcement
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## API
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### GET /agents
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List all agents with optional filters.
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**Query Parameters:**
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- `microdao_id` — Filter by microDAO
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- `kind` — Filter by agent kind
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**Response:**
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```json
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[
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{
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"id": "agent:sofia",
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"name": "Sofia",
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"kind": "assistant",
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"model": "gpt-4.1-mini",
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"microdao_id": "microdao:daarion",
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"status": "active"
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}
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]
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```
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### GET /agents/{agent_id}
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Get full agent details.
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**Response:**
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```json
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{
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"id": "agent:sofia",
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"name": "Sofia",
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"kind": "assistant",
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"model": "gpt-4.1-mini",
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"owner_user_id": "user:1",
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"microdao_id": "microdao:daarion",
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"tools": ["projects.list", "task.create"],
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"system_prompt": "...",
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"status": "active"
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}
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```
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### GET /agents/{agent_id}/metrics
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Get agent usage metrics.
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**Query Parameters:**
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- `period_hours` — Time period (default: 24)
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**Response:**
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```json
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{
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"agent_id": "agent:sofia",
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"llm_calls_total": 145,
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"llm_tokens_total": 87432,
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"tool_calls_total": 23,
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"invocations_total": 56,
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"messages_sent": 342
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}
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```
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### GET /agents/{agent_id}/context
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Get agent memory context.
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**Response:**
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```json
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{
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"agent_id": "agent:sofia",
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"short_term": [],
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"mid_term": [],
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"knowledge_items": []
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}
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```
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### POST /agents/{agent_id}/settings/model
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Update agent's LLM model.
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**Request:**
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```json
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{
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"model": "gpt-4.1-mini"
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}
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```
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### POST /agents/{agent_id}/settings/tools
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Update agent's enabled tools.
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**Request:**
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```json
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{
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"tools_enabled": ["projects.list", "task.create"]
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}
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```
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## Setup
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### Local Development
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```bash
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cd services/agents-service
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pip install -r requirements.txt
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python main.py
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```
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### Docker
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```bash
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docker build -t agents-service .
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docker run -p 7014:7014 \
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-e AUTH_URL="http://auth-service:7011" \
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-e PDP_URL="http://pdp-service:7012" \
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-e USAGE_URL="http://usage-engine:7013" \
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agents-service
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```
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## Integration
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Connects to:
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- **auth-service** (7011) — Authentication
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- **pdp-service** (7012) — Authorization
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- **usage-engine** (7013) — Metrics
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- **memory-orchestrator** (7008) — Context
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- **toolcore** (7009) — Tool info
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## Roadmap
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### Phase 5 (Current):
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- ✅ Mock agent data
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- ✅ Metrics integration
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- ✅ Basic context
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- ✅ Settings update
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### Phase 6:
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- 🔜 Database-backed agents
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- 🔜 Event store
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- 🔜 Agent creation
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- 🔜 Avatar upload
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- 🔜 System prompt editor
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---
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**Status:** ✅ Phase 5 MVP Ready
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**Version:** 1.0.0
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**Last Updated:** 2025-11-24
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