docs: add MiniMax provider community offer and setup guide (#219)

Add MiniMax as the first Founding Provider Community Offer Pilot
— a limited-time 12% discount for OMA users valid until 2026-06-30.

- README: new Provider community offers section in Ecosystem
- README_zh: Chinese equivalent (Provider 社区优惠)
- docs/providers/minimax.md: setup guide with offer details,
  model description, configuration examples, and disclosure
This commit is contained in:
Jack Chen authored and GitHub committed 2026-05-12 17:15:32 +08:00
1 parent cbd710f607
commit 49f7bdde5f
4 files changed
+87

No files matched your search

Binary file not shown.

After

Width:  |  Height:  |  Size: 2.0 MiB

+6
View File
@@ -200,6 +200,12 @@ Using `open-multi-agent` in production or a side project? [Open a discussion](ht
Built an integration? [Open a discussion](https://github.com/open-multi-agent/open-multi-agent/discussions) to get listed.
### Provider community offers
Limited-time provider offers for `open-multi-agent` users. Listings are not paid endorsements.
- **[MiniMax](https://platform.minimax.io/subscribe/coding-plan?code=6ZoOY13DDV&source=link)** — Use MiniMax M2.7 in OMA's TypeScript multi-agent workflows. OMA users get 12% off the MiniMax Token Plan until 2026-06-30. See the [MiniMax setup guide](./docs/providers/minimax.md).
### Featured partner
For products and platforms with a deep `open-multi-agent` integration. See the [Featured partner program](./docs/featured-partner.md) for terms and how to apply.
+6
View File
@@ -200,6 +200,12 @@ Shell 和 CI 场景使用 JSON-first 的 `oma` 命令行工具。详见 [docs/cl
做了 `open-multi-agent` 集成?[开个 Discussion](https://github.com/open-multi-agent/open-multi-agent/discussions),我们会将其列在这里。
### Provider 社区优惠
面向 `open-multi-agent` 用户的限时 provider 优惠。该列表不代表付费背书或唯一官方推荐。
- **[MiniMax](https://platform.minimaxi.com/subscribe/token-plan?code=98qruMqQhL&source=link)** — 在 OMA 的 TypeScript 多智能体工作流中使用 MiniMax M2.7。OMA 用户可在 2026-06-30 前享 MiniMax Token Plan 专属 88 折优惠。见 [MiniMax 接入指南](./docs/providers/minimax.md)。
### Featured partner
面向已经深度集成 `open-multi-agent` 的产品和平台。条款和申请方式见 [Featured partner 计划](./docs/featured-partner.md)。
+75
View File
@@ -0,0 +1,75 @@
# MiniMax setup guide
<img src="../../.github/brand/minimax-banner.png" alt="MiniMax" width="600">
MiniMax M2.7 can be used in OMA's TypeScript multi-agent workflows with a simple provider config.
## Community offer
OMA users get **12% off** the MiniMax Token Plan. Valid until **2026-06-30**.
| Region | Link |
|--------|------|
| Global | [platform.minimax.io](https://platform.minimax.io/subscribe/coding-plan?code=6ZoOY13DDV&source=link) |
| China | [platform.minimaxi.com](https://platform.minimaxi.com/subscribe/token-plan?code=98qruMqQhL&source=link) |
This is a limited-time community offer, not a paid endorsement.
## About MiniMax M2.7
MiniMax describes M2.7 as:
> MiniMax M2.7 is MiniMax's first self-evolution model, capable of autonomously building complex Agent Harnesses and completing high-complexity productivity tasks via Agent Teams, advanced Skills, and Tool Search Tool. It excels in software engineering, end-to-end project delivery, and office scenarios, with stable task execution, environment interaction, and identity-preserving capabilities.
MiniMax 对 M2.7 的描述:
> MiniMax M2.7 是 MiniMax 首个深度参与自我迭代的模型,可自主构建复杂 Agent Harness,并基于 Agent Teams、复杂 Skills、Tool Search Tool 等能力完成高复杂度生产力任务;其在软件工程、端到端项目交付及办公场景中表现优异,多项评测接近行业领先水平,同时具备稳定的复杂任务执行、环境交互能力以及良好的情商与身份保持能力。
## Setup
### Environment variables
```bash
export MINIMAX_API_KEY=your-api-key
```
The adapter defaults to the global endpoint (`https://api.minimax.io/v1`). China users should override the base URL:
```bash
export MINIMAX_BASE_URL=https://api.minimaxi.com/v1
```
### Agent config
```typescript
const agent: AgentConfig = {
name: 'my-agent',
provider: 'minimax',
model: 'MiniMax-M2.7',
systemPrompt: 'You are a helpful assistant.',
}
```
Full example:
```typescript
import { OpenMultiAgent, type AgentConfig } from '@open-multi-agent/core'
const agent: AgentConfig = {
name: 'analyst',
provider: 'minimax',
model: 'MiniMax-M2.7',
systemPrompt: 'Analyze data and produce concise reports.',
tools: ['bash', 'file_read', 'file_write'],
}
const orchestrator = new OpenMultiAgent()
const result = await orchestrator.runAgent(agent, 'Summarize /tmp/report.csv')
console.log(result.output)
```
## Disclosure
- This is a limited-time community offer valid through 2026-06-30.
- Listings are not paid endorsements.
- Some provider offers may include referral credits that help maintain the project.