feat: add more Agent services & easytier
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Summer Shen
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# Global Registry Prefix (optional)
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# GLOBAL_REGISTRY=
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# Letta Image Version
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LETTA_VERSION=0.16.7
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# Timezone
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TZ=UTC
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# Host port for the Letta REST API server
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LETTA_PORT_OVERRIDE=8283
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# LLM Provider API Keys (optional; at least one is required for agent functionality)
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# OPENAI_API_KEY=sk-...
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# ANTHROPIC_API_KEY=sk-ant-...
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# GROQ_API_KEY=gsk_...
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# OLLAMA_BASE_URL=http://host.docker.internal:11434
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# Resource Limits
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LETTA_CPU_LIMIT=1
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LETTA_MEMORY_LIMIT=1G
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LETTA_CPU_RESERVATION=0.25
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LETTA_MEMORY_RESERVATION=256M
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# Letta
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[English](./README.md) | [中文](./README.zh.md)
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Quick start: <https://docs.letta.com>.
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This service deploys Letta (formerly MemGPT), a framework for building stateful AI agents with long-term memory, persistent state, and tool use. Letta exposes a REST API for creating and managing agents programmatically.
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## Services
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- `letta`: The Letta agent server.
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## Quick Start
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```bash
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docker compose up -d
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```
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The Letta REST API will be available at `http://localhost:8283`. You can interact with it via the [Letta Python SDK](https://github.com/letta-ai/letta) or the [ADE web interface](https://app.letta.com).
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To connect a local LLM (Ollama), set `OLLAMA_BASE_URL` in your `.env` file before starting.
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## Configuration
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| Variable | Description | Default |
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| ---------------------- | -------------------------------------------------------- | -------- |
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| `LETTA_VERSION` | Image version | `0.16.7` |
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| `TZ` | Container timezone | `UTC` |
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| `LETTA_PORT_OVERRIDE` | Host port for the REST API | `8283` |
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| `OPENAI_API_KEY` | OpenAI API key (optional) | *(empty)*|
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| `ANTHROPIC_API_KEY` | Anthropic API key (optional) | *(empty)*|
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| `GROQ_API_KEY` | Groq API key (optional) | *(empty)*|
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| `OLLAMA_BASE_URL` | Ollama base URL, e.g. `http://host.docker.internal:11434`| *(empty)*|
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| `LETTA_CPU_LIMIT` | CPU limit | `1` |
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| `LETTA_MEMORY_LIMIT` | Memory limit | `1G` |
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| `LETTA_CPU_RESERVATION`| CPU reservation | `0.25` |
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## Volumes
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- `letta_data`: Persists agent state, memory, and configuration at `/root/.letta`.
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## Ports
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- **8283**: REST API
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## Notes
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- At least one LLM provider API key (or `OLLAMA_BASE_URL`) is required to create functioning agents.
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- The health check uses the `/health` endpoint.
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# Letta
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[English](./README.md) | [中文](./README.zh.md)
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快速开始：<https://docs.letta.com>。
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此服务用于部署 Letta（前身为 MemGPT），一个用于构建具备长期记忆、持久状态和工具调用能力的有状态 AI Agent 框架。Letta 提供 REST API，支持以编程方式创建和管理 Agent。
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## 服务
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- `letta`：Letta Agent 服务器。
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## 快速开始
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```bash
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docker compose up -d
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```
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Letta REST API 将在 `http://localhost:8283` 可用。你可以通过 [Letta Python SDK](https://github.com/letta-ai/letta) 或 [ADE Web 界面](https://app.letta.com) 与其交互。
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如需连接本地 LLM（Ollama），请在启动前在 `.env` 文件中设置 `OLLAMA_BASE_URL`。
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## 配置
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| 变量 | 说明 | 默认值 |
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| ---------------------- | ----------------------------------------------------------- | -------- |
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| `LETTA_VERSION` | 镜像版本 | `0.16.7` |
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| `TZ` | 容器时区 | `UTC` |
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| `LETTA_PORT_OVERRIDE` | REST API 的宿主机端口 | `8283` |
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| `OPENAI_API_KEY` | OpenAI API Key（可选） | *(空)* |
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| `ANTHROPIC_API_KEY` | Anthropic API Key（可选） | *(空)* |
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| `GROQ_API_KEY` | Groq API Key（可选） | *(空)* |
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| `OLLAMA_BASE_URL` | Ollama 基础 URL，例如 `http://host.docker.internal:11434` | *(空)* |
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| `LETTA_CPU_LIMIT` | CPU 限制 | `1` |
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| `LETTA_MEMORY_LIMIT` | 内存限制 | `1G` |
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| `LETTA_CPU_RESERVATION`| CPU 预留 | `0.25` |
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## 数据卷
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- `letta_data`：在 `/root/.letta` 持久化 Agent 状态、记忆和配置。
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## 端口
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- **8283**：REST API
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## 说明
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- 创建可用的 Agent 至少需要一个 LLM 提供商的 API Key（或 `OLLAMA_BASE_URL`）。
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- 健康检查使用 `/health` 端点。
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@@ -0,0 +1,43 @@
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x-defaults: &defaults
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restart: unless-stopped
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logging:
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driver: json-file
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options:
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max-size: 100m
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max-file: '3'
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services:
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letta:
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<<: *defaults
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image: ${GLOBAL_REGISTRY:-}letta/letta:${LETTA_VERSION:-0.16.7}
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ports:
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- '${LETTA_PORT_OVERRIDE:-8283}:8283'
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volumes:
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- letta_data:/root/.letta
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environment:
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- TZ=${TZ:-UTC}
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- OPENAI_API_KEY=${OPENAI_API_KEY:-}
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- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}
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- GROQ_API_KEY=${GROQ_API_KEY:-}
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- OLLAMA_BASE_URL=${OLLAMA_BASE_URL:-}
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healthcheck:
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test:
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- CMD
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- python3
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- -c
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- "import urllib.request; urllib.request.urlopen('http://localhost:8283/health')"
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interval: 30s
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timeout: 10s
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retries: 5
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start_period: 20s
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deploy:
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resources:
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limits:
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cpus: ${LETTA_CPU_LIMIT:-1}
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memory: ${LETTA_MEMORY_LIMIT:-1G}
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reservations:
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cpus: ${LETTA_CPU_RESERVATION:-0.25}
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memory: ${LETTA_MEMORY_RESERVATION:-256M}
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volumes:
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letta_data:
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